技术领域Technical Field
本申请涉及数据处理技术领域，具体而言，涉及一种服务器智能冷却方法及系统。The present application relates to the field of data processing technology, and in particular to a server intelligent cooling method and system.
背景技术Background technique
随着信息化的不断进步，相关信息量的不断递增，就给服务器带来巨大的工作量，从而导致服务器产生巨大的热量，这样就可能导致服务器因为发热量过大，而导致服务器瘫痪的问题。With the continuous advancement of informatization, the amount of relevant information continues to increase, which brings a huge workload to the server, causing the server to generate huge heat, which may cause the server to be paralyzed due to excessive heat generation.
发明内容Summary of the invention
鉴于此，本申请提供了一种服务器智能冷却方法及系统。In view of this, the present application provides a server intelligent cooling method and system.
第一方面，提供一种服务器智能冷却方法，包括：In a first aspect, a server intelligent cooling method is provided, comprising:
在收到实时服务器温度数据的检测许可的前提下，获取当前采集到的目标温度信息中包含的次温度信息各自对应的温度描述特征向量；Under the premise of receiving the detection permission of the temperature data of the real-time server, obtaining the temperature description feature vectors corresponding to each of the sub-temperature information contained in the currently collected target temperature information;
根据所述次温度信息各自对应的所述温度描述特征向量，确定所述目标温度信息的温度类别，并生成与所述目标温度信息匹配的样本温度指标列队；Determine the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the sub-temperature information, and generate a sample temperature indicator queue matching the target temperature information;
在所述目标温度信息的温度类别指示为事先设置的温度的前提下，依照为各个所述次温度信息配置的使用温度策略加载温度检测；On the premise that the temperature category indication of the target temperature information is a pre-set temperature, loading the temperature detection according to the use temperature strategy configured for each of the secondary temperature information;
在加载所述温度检测的过程中，统计各个所述次温度信息对应的所述温度描述特征向量的变化状态；In the process of loading the temperature detection, counting the change state of the temperature description feature vector corresponding to each of the secondary temperature information;
在所述温度描述特征向量的变化状态达到冷却条件的前提下，根据所述温度描述特征向量的变化状态冷却所述使用温度策略，得到目标温度；On the premise that the change state of the temperature description feature vector reaches a cooling condition, cooling the use temperature strategy according to the change state of the temperature description feature vector to obtain a target temperature;
依照各个所述次温度信息的所述目标温度加载温度冷却指令。A temperature cooling instruction is loaded according to the target temperature of each of the sub-temperature information.
进一步地，所述根据所述次温度信息各自对应的所述温度描述特征向量，确定所述目标温度信息的温度类别包括：Further, determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the sub-temperature information includes:
根据所述次温度信息的所述温度描述特征向量计算所述目标温度信息的待选温度特征向量和标准温度特征向量；Calculate a candidate temperature feature vector and a standard temperature feature vector of the target temperature information according to the temperature description feature vector of the secondary temperature information;
在所述次温度信息对应的所述温度描述特征向量不大于所述标准温度特征向量且所述温度描述特征向量不大于第一预设向量的前提下，确定所述温度描述特征向量对应的所述次温度信息为非待选次温度信息，其中，所述非待选次温度信息为并未配置有温度信息标签信息的次温度信息；Under the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than the first preset vector, determining that the secondary temperature information corresponding to the temperature description feature vector is non-selected secondary temperature information, wherein the non-selected secondary temperature information is secondary temperature information that is not configured with temperature information label information;
在所述次温度信息对应的所述温度描述特征向量大于所述标准温度特征向量，或所述温度描述特征向量大于所述第一预设向量的前提下，确定所述次温度信息为待选次温度信息，其中，所述待选次温度信息为配置有温度信息标签信息的次温度信息；Under the premise that the temperature description feature vector corresponding to the secondary temperature information is greater than the standard temperature feature vector, or the temperature description feature vector is greater than the first preset vector, determining the secondary temperature information as the secondary temperature information to be selected, wherein the secondary temperature information to be selected is the secondary temperature information configured with temperature information label information;
根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别。The temperature category of the target temperature information is determined according to the candidate temperature feature vector of the target temperature information and the number of the candidate temperature information.
进一步地，所述根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别包括：Further, the determining the temperature category of the target temperature information according to the to-be-selected temperature feature vector of the target temperature information and the number of the to-be-selected secondary temperature information comprises:
在所述待选次温度信息对应的所述温度描述特征向量大于第一余弦值和所述标准温度特征向量的识别结果的前提下，将所述待选次温度信息确定为目标待选次温度信息，其中，所述目标待选次温度信息为配置有目标温度信息标签的次温度信息；On the premise that the temperature description feature vector corresponding to the secondary temperature information to be selected is greater than the recognition result of the first cosine value and the standard temperature feature vector, the secondary temperature information to be selected is determined as the target secondary temperature information to be selected, wherein the target secondary temperature information to be selected is the secondary temperature information configured with a target temperature information tag;
在所述待选温度特征向量不大于第二预设向量且所述目标待选次温度信息的数量不大于第三预设向量的前提下，确定所述目标温度信息的温度类别为所述事先设置的温度。Under the premise that the candidate temperature feature vector is not greater than the second preset vector and the number of the target candidate temperature information is not greater than the third preset vector, the temperature category of the target temperature information is determined to be the pre-set temperature.
进一步地，所述生成与所述目标温度信息匹配的样本温度指标列队包括：Further, the generating of a sample temperature index queue matching the target temperature information includes:
在所述次温度信息为所述待选次温度信息的前提下，将第一温度值作为所述次温度信息对应的温度值；On the premise that the secondary temperature information is the to-be-selected secondary temperature information, taking the first temperature value as the temperature value corresponding to the secondary temperature information;
在所述次温度信息为所述非待选次温度信息的前提下，将第二温度值作为所述次温度信息对应的温度值；On the premise that the secondary temperature information is the non-selected secondary temperature information, taking the second temperature value as the temperature value corresponding to the secondary temperature information;
利用所述第一温度值和所述第二温度值生成所述目标温度信息的所述样本温度指标列队。The sample temperature indicator queue of the target temperature information is generated by using the first temperature value and the second temperature value.
进一步地，所述依照为各个所述次温度信息配置的使用温度策略加载温度检测包括：Further, the loading of temperature detection according to the temperature strategy configured for each of the secondary temperature information includes:
将第三温度值配置给各个所述次温度信息，作为所述次温度信息的所述使用温度策略；Allocating a third temperature value to each of the secondary temperature information as the use temperature strategy of the secondary temperature information;
依照所述使用温度策略加载所述温度检测；Loading the temperature detection according to the usage temperature strategy;
其中，所述在加载所述温度检测的过程中，统计各个所述次温度信息对应的所述温度描述特征向量的变化状态包括：Wherein, in the process of loading the temperature detection, counting the change state of the temperature description feature vector corresponding to each of the secondary temperature information includes:
获取各个所述次温度信息在所述温度检测过程中对应的所述温度描述特征向量的最大值和所述温度描述特征向量的最小值；Obtaining the maximum value of the temperature description feature vector and the minimum value of the temperature description feature vector corresponding to each of the sub-temperature information during the temperature detection process;
计算所述温度描述特征向量的最大值和所述温度描述特征向量的最小值的差值作为所述温度描述特征向量的变化状态；Calculating a difference between a maximum value of the temperature description feature vector and a minimum value of the temperature description feature vector as a change state of the temperature description feature vector;
统计各个所述次温度信息的所述温度描述特征向量的变化状态；Counting the change state of the temperature description feature vector of each of the sub-temperature information;
其中，所述根据所述温度描述特征向量的变化状态冷却所述使用温度策略，得到目标温度包括：Wherein, cooling the use temperature strategy according to the change state of the temperature description feature vector to obtain the target temperature includes:
获取各个所述次温度信息在所述温度检测过程中对应的所述温度描述特征向量的变化状态；Acquire the change state of the temperature description feature vector corresponding to each of the sub-temperature information during the temperature detection process;
计算全部所述次温度信息的所述温度描述特征向量的变化状态的平均变化状态；Calculate the average change state of the change states of the temperature description feature vectors of all the sub-temperature information;
根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果，冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度；Cooling the use temperature strategy corresponding to the secondary temperature information to obtain the target temperature according to a comparison result of the change state of the temperature description feature vector and the average change state;
其中，所述根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果，冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度包括：Wherein, cooling the use temperature strategy corresponding to the secondary temperature information to obtain the target temperature according to the comparison result of the change state of the temperature description feature vector and the average change state includes:
在所述温度描述特征向量的变化状态大于第二余弦值与所述平均变化状态的识别结果的前提下，将第一目标温度值作为对应的所述次温度信息的所述目标温度；On the premise that the change state of the temperature description feature vector is greater than the recognition result of the second cosine value and the average change state, taking the first target temperature value as the target temperature of the corresponding secondary temperature information;
在所述温度描述特征向量的变化状态不大于第三余弦值与所述平均变化状态的识别结果的前提下，将第三目标温度值作为对应的所述次温度信息的所述目标温度；On the premise that the change state of the temperature description feature vector is not greater than the recognition result of the third cosine value and the average change state, taking the third target temperature value as the target temperature of the corresponding secondary temperature information;
在所述温度描述特征向量的变化状态介于所述第三余弦值与所述平均变化状态的识别结果与所述第二余弦值与所述平均变化状态的识别结果之间的前提下，将第二目标温度值作为对应的所述次温度信息的所述目标温度，其中，所述第二余弦值大于所述第三余弦值。On the premise that the change state of the temperature description feature vector is between the recognition result of the third cosine value and the average change state and the recognition result of the second cosine value and the average change state, the second target temperature value is used as the target temperature of the corresponding secondary temperature information, wherein the second cosine value is greater than the third cosine value.
第二方面，提供一种服务器智能冷却系统，包括数据采集端和数据处理终端，所述据采集端和所述数据处理终端通信连接，所述数据处理终端具体用于：In a second aspect, a server intelligent cooling system is provided, including a data acquisition terminal and a data processing terminal, wherein the data acquisition terminal is communicatively connected to the data processing terminal, and the data processing terminal is specifically used for:
在收到实时服务器温度数据的检测许可的前提下，获取当前采集到的目标温度信息中包含的次温度信息各自对应的温度描述特征向量；Under the premise of receiving the detection permission of the temperature data of the real-time server, obtaining the temperature description feature vectors corresponding to each of the sub-temperature information contained in the currently collected target temperature information;
根据所述次温度信息各自对应的所述温度描述特征向量，确定所述目标温度信息的温度类别，并生成与所述目标温度信息匹配的样本温度指标列队；Determine the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the sub-temperature information, and generate a sample temperature indicator queue matching the target temperature information;
在所述目标温度信息的温度类别指示为事先设置的温度的前提下，依照为各个所述次温度信息配置的使用温度策略加载温度检测；On the premise that the temperature category indication of the target temperature information is a pre-set temperature, loading the temperature detection according to the use temperature strategy configured for each of the secondary temperature information;
在加载所述温度检测的过程中，统计各个所述次温度信息对应的所述温度描述特征向量的变化状态；In the process of loading the temperature detection, counting the change state of the temperature description feature vector corresponding to each of the secondary temperature information;
在所述温度描述特征向量的变化状态达到冷却条件的前提下，根据所述温度描述特征向量的变化状态冷却所述使用温度策略，得到目标温度；On the premise that the change state of the temperature description feature vector reaches a cooling condition, cooling the use temperature strategy according to the change state of the temperature description feature vector to obtain a target temperature;
依照各个所述次温度信息的所述目标温度加载温度冷却指令。A temperature cooling instruction is loaded according to the target temperature of each of the sub-temperature information.
进一步地，所述数据处理终端具体用于：Furthermore, the data processing terminal is specifically used for:
根据所述次温度信息的所述温度描述特征向量计算所述目标温度信息的待选温度特征向量和标准温度特征向量；Calculate a candidate temperature feature vector and a standard temperature feature vector of the target temperature information according to the temperature description feature vector of the secondary temperature information;
在所述次温度信息对应的所述温度描述特征向量不大于所述标准温度特征向量且所述温度描述特征向量不大于第一预设向量的前提下，确定所述温度描述特征向量对应的所述次温度信息为非待选次温度信息，其中，所述非待选次温度信息为并未配置有温度信息标签信息的次温度信息；Under the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than the first preset vector, determining that the secondary temperature information corresponding to the temperature description feature vector is non-selected secondary temperature information, wherein the non-selected secondary temperature information is secondary temperature information that is not configured with temperature information label information;
在所述次温度信息对应的所述温度描述特征向量大于所述标准温度特征向量，或所述温度描述特征向量大于所述第一预设向量的前提下，确定所述次温度信息为待选次温度信息，其中，所述待选次温度信息为配置有温度信息标签信息的次温度信息；Under the premise that the temperature description feature vector corresponding to the secondary temperature information is greater than the standard temperature feature vector, or the temperature description feature vector is greater than the first preset vector, determining the secondary temperature information as the secondary temperature information to be selected, wherein the secondary temperature information to be selected is the secondary temperature information configured with temperature information label information;
根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别。The temperature category of the target temperature information is determined according to the candidate temperature feature vector of the target temperature information and the number of the candidate temperature information.
进一步地，所述数据处理终端具体用于：Furthermore, the data processing terminal is specifically used for:
在所述待选次温度信息对应的所述温度描述特征向量大于第一余弦值和所述标准温度特征向量的识别结果的前提下，将所述待选次温度信息确定为目标待选次温度信息，其中，所述目标待选次温度信息为配置有目标温度信息标签的次温度信息；On the premise that the temperature description feature vector corresponding to the secondary temperature information to be selected is greater than the recognition result of the first cosine value and the standard temperature feature vector, the secondary temperature information to be selected is determined as the target secondary temperature information to be selected, wherein the target secondary temperature information to be selected is the secondary temperature information configured with a target temperature information tag;
在所述待选温度特征向量不大于第二预设向量且所述目标待选次温度信息的数量不大于第三预设向量的前提下，确定所述目标温度信息的温度类别为所述事先设置的温度。Under the premise that the candidate temperature feature vector is not greater than the second preset vector and the number of the target candidate temperature information is not greater than the third preset vector, the temperature category of the target temperature information is determined to be the pre-set temperature.
进一步地，所述数据处理终端具体用于：Furthermore, the data processing terminal is specifically used for:
在所述次温度信息为所述待选次温度信息的前提下，将第一温度值作为所述次温度信息对应的温度值；On the premise that the secondary temperature information is the to-be-selected secondary temperature information, taking the first temperature value as the temperature value corresponding to the secondary temperature information;
在所述次温度信息为所述非待选次温度信息的前提下，将第二温度值作为所述次温度信息对应的温度值；On the premise that the secondary temperature information is the non-selected secondary temperature information, taking the second temperature value as the temperature value corresponding to the secondary temperature information;
利用所述第一温度值和所述第二温度值生成所述目标温度信息的所述样本温度指标列队。The sample temperature indicator queue of the target temperature information is generated by using the first temperature value and the second temperature value.
进一步地，所述数据处理终端具体用于：Furthermore, the data processing terminal is specifically used for:
将第三温度值配置给各个所述次温度信息，作为所述次温度信息的所述使用温度策略；Allocating a third temperature value to each of the secondary temperature information as the use temperature strategy of the secondary temperature information;
依照所述使用温度策略加载所述温度检测；Loading the temperature detection according to the usage temperature strategy;
其中，所述数据处理终端具体用于：Wherein, the data processing terminal is specifically used for:
获取各个所述次温度信息在所述温度检测过程中对应的所述温度描述特征向量的最大值和所述温度描述特征向量的最小值；Obtaining the maximum value of the temperature description feature vector and the minimum value of the temperature description feature vector corresponding to each of the sub-temperature information during the temperature detection process;
计算所述温度描述特征向量的最大值和所述温度描述特征向量的最小值的差值作为所述温度描述特征向量的变化状态；Calculating a difference between a maximum value of the temperature description feature vector and a minimum value of the temperature description feature vector as a change state of the temperature description feature vector;
统计各个所述次温度信息的所述温度描述特征向量的变化状态；Counting the change state of the temperature description feature vector of each of the sub-temperature information;
其中，所述数据处理终端具体用于：Wherein, the data processing terminal is specifically used for:
获取各个所述次温度信息在所述温度检测过程中对应的所述温度描述特征向量的变化状态；Acquire the change state of the temperature description feature vector corresponding to each of the sub-temperature information during the temperature detection process;
计算全部所述次温度信息的所述温度描述特征向量的变化状态的平均变化状态；Calculate the average change state of the change states of the temperature description feature vectors of all the sub-temperature information;
根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果，冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度；Cooling the use temperature strategy corresponding to the secondary temperature information to obtain the target temperature according to a comparison result of the change state of the temperature description feature vector and the average change state;
其中，所述数据处理终端具体用于：Wherein, the data processing terminal is specifically used for:
在所述温度描述特征向量的变化状态大于第二余弦值与所述平均变化状态的识别结果的前提下，将第一目标温度值作为对应的所述次温度信息的所述目标温度；On the premise that the change state of the temperature description feature vector is greater than the recognition result of the second cosine value and the average change state, taking the first target temperature value as the target temperature of the corresponding secondary temperature information;
在所述温度描述特征向量的变化状态不大于第三余弦值与所述平均变化状态的识别结果的前提下，将第三目标温度值作为对应的所述次温度信息的所述目标温度；On the premise that the change state of the temperature description feature vector is not greater than the recognition result of the third cosine value and the average change state, taking the third target temperature value as the target temperature of the corresponding secondary temperature information;
在所述温度描述特征向量的变化状态介于所述第三余弦值与所述平均变化状态的识别结果与所述第二余弦值与所述平均变化状态的识别结果之间的前提下，将第二目标温度值作为对应的所述次温度信息的所述目标温度，其中，所述第二余弦值大于所述第三余弦值。On the premise that the change state of the temperature description feature vector is between the recognition result of the third cosine value and the average change state and the recognition result of the second cosine value and the average change state, the second target temperature value is used as the target temperature of the corresponding secondary temperature information, wherein the second cosine value is greater than the third cosine value.
本申请实施例所提供的一种服务器智能冷却方法及系统，采用获取目标温度信息中次温度信息对应的温度描述特征向量确定目标温度信息的温度类别，在温度类别判断为事先设置的温度的前提下，在温度检测的过程中，统计温度描述特征向量的变化状态，从而根据温度描述特征向量的变化状态冷却次温度信息对应的使用温度策略，从而得到目标温度，依照次温度信息的目标温度加载温度冷却指令的许可，通过根据温度描述特征向量判断温度类别，并根据温度类别配置次温度信息的使用温度策略，根据温度检测过程中统计的温度描述特征向量的变化状态，对次温度信息的使用温度策略进行冷却，以得到用于温度冷却指令的目标温度，达到了根据温度类别的判断和第一温度过程中参数的统计冷却次温度信息的使用温度策略，将次温度信息的使用温度策略冷却至与温度类别和温度检测更适合的目标温度从而加载温度冷却指令的目的，从而实现了根据温度类别冷却次温度信息的温度以冷却温度重点从而提高冷却的效果。An intelligent server cooling method and system provided by an embodiment of the present application adopts a method of obtaining a temperature description feature vector corresponding to secondary temperature information in target temperature information to determine the temperature category of the target temperature information. On the premise that the temperature category is determined to be a pre-set temperature, during the temperature detection process, the change state of the temperature description feature vector is counted, so as to cool the use temperature policy corresponding to the secondary temperature information according to the change state of the temperature description feature vector, so as to obtain the target temperature, and load the permission of the temperature cooling instruction according to the target temperature of the secondary temperature information. By judging the temperature category according to the temperature description feature vector, and configuring the use temperature policy of the secondary temperature information according to the temperature category, the use temperature policy of the secondary temperature information is cooled according to the change state of the temperature description feature vector counted during the temperature detection process to obtain the target temperature for the temperature cooling instruction, so as to achieve the purpose of cooling the use temperature policy of the secondary temperature information according to the judgment of the temperature category and the statistics of the parameters in the first temperature process, cooling the use temperature policy of the secondary temperature information to a target temperature more suitable for the temperature category and temperature detection, and thus loading the temperature cooling instruction, so as to achieve the purpose of cooling the temperature of the secondary temperature information according to the temperature category to focus on cooling the temperature, thereby improving the cooling effect.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
为了更清楚地说明本申请实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图仅示出了本申请的某些实施例，因此不应被看作是对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
图1为本申请实施例所提供的一种服务器智能冷却方法的流程图。FIG1 is a flow chart of a server intelligent cooling method provided in an embodiment of the present application.
图2为本申请实施例所提供的一种服务器智能冷却装置的框图。FIG2 is a block diagram of an intelligent cooling device for a server provided in an embodiment of the present application.
图3为本申请实施例所提供的一种服务器智能冷却系统的架构图。FIG3 is an architecture diagram of a server intelligent cooling system provided in an embodiment of the present application.
具体实施方式Detailed ways
为了更好的理解上述技术方案，下面通过附图以及具体实施例对本申请技术方案做详细的说明，应当理解本申请实施例以及实施例中的具体特征是对本申请技术方案的详细的说明，而不是对本申请技术方案的限定，在不冲突的情况下，本申请实施例以及实施例中的技术特征可以相互组合。In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.
请参阅图1，示出了一种服务器智能冷却方法，该方法可以包括以下步骤100-步骤600所描述的技术方案。Please refer to FIG. 1 , which shows a method for intelligent cooling of a server. The method may include the technical solutions described in the following steps 100 to 600 .
步骤100，在收到实时服务器温度数据的检测许可的前提下，获取当前采集到的目标温度信息中包含的次温度信息各自对应的温度描述特征向量。Step 100, on the premise of receiving the detection permission of the real-time server temperature data, obtaining the temperature description feature vectors corresponding to each of the sub-temperature information included in the currently collected target temperature information.
示例性的，目标温度信息中包含的次温度信息各自对应的温度描述特征向量。Exemplarily, the target temperature information includes a temperature description feature vector corresponding to each of the sub-temperature information.
步骤200，根据所述次温度信息各自对应的所述温度描述特征向量，确定所述目标温度信息的温度类别，并生成与所述目标温度信息匹配的样本温度指标列队。Step 200: determine the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the sub-temperature information, and generate a sample temperature indicator queue matching the target temperature information.
示例性的，目标温度信息的温度类别用于表征低温、正常温度以及高温情况。Exemplarily, the temperature category of the target temperature information is used to represent low temperature, normal temperature, and high temperature situations.
进一步地，样本温度指标列队用于表征目标温度信息的温度类别的提示信息。Furthermore, the sample temperature indicator queue is used to represent prompt information of the temperature category of the target temperature information.
步骤300，在所述目标温度信息的温度类别指示为事先设置的温度的前提下，依照为各个所述次温度信息配置的使用温度策略加载温度检测。Step 300 , on the premise that the temperature category indication of the target temperature information is a pre-set temperature, load the temperature detection according to the use temperature strategy configured for each of the secondary temperature information.
步骤400，在加载所述温度检测的过程中，统计各个所述次温度信息对应的所述温度描述特征向量的变化状态。Step 400: In the process of loading the temperature detection, statistics are collected on the change state of the temperature description feature vector corresponding to each of the sub-temperature information.
步骤500，在所述温度描述特征向量的变化状态达到冷却条件的前提下，根据所述温度描述特征向量的变化状态冷却所述使用温度策略，得到目标温度。Step 500, on the premise that the change state of the temperature description feature vector reaches the cooling condition, cool the use temperature strategy according to the change state of the temperature description feature vector to obtain the target temperature.
示例性的，使用温度策略用于表征相关设备在工作时发出的热量。Exemplarily, a temperature strategy is used to characterize the heat generated by the relevant equipment during operation.
步骤600，依照各个所述次温度信息的所述目标温度加载温度冷却指令。Step 600: Load a temperature cooling instruction according to the target temperature of each of the sub-temperature information.
可以理解，在执行上述步骤100-步骤600所描述的技术方案时，采用获取目标温度信息中次温度信息对应的温度描述特征向量确定目标温度信息的温度类别，在温度类别判断为事先设置的温度的前提下，在温度检测的过程中，统计温度描述特征向量的变化状态，从而根据温度描述特征向量的变化状态冷却次温度信息对应的使用温度策略，从而得到目标温度，依照次温度信息的目标温度加载温度冷却指令的许可，通过根据温度描述特征向量判断温度类别，并根据温度类别配置次温度信息的使用温度策略，根据温度检测过程中统计的温度描述特征向量的变化状态，对次温度信息的使用温度策略进行冷却，以得到用于温度冷却指令的目标温度，达到了根据温度类别的判断和第一温度过程中参数的统计冷却次温度信息的使用温度策略，将次温度信息的使用温度策略冷却至与温度类别和温度检测更适合的目标温度从而加载温度冷却指令的目的，从而实现了根据温度类别冷却次温度信息的温度以冷却温度重点从而提高冷却的效果。It can be understood that when executing the technical solution described in the above steps 100 to 600, the temperature category of the target temperature information is determined by obtaining the temperature description feature vector corresponding to the secondary temperature information in the target temperature information. Under the premise that the temperature category is judged to be a pre-set temperature, during the temperature detection process, the change state of the temperature description feature vector is counted, so that the use temperature strategy corresponding to the secondary temperature information is cooled according to the change state of the temperature description feature vector, so as to obtain the target temperature, and the permission of the temperature cooling instruction is loaded according to the target temperature of the secondary temperature information. By judging the temperature category according to the temperature description feature vector, and configuring the use temperature strategy of the secondary temperature information according to the temperature category, the use temperature strategy of the secondary temperature information is cooled according to the change state of the temperature description feature vector counted during the temperature detection process to obtain the target temperature for the temperature cooling instruction, so as to achieve the purpose of cooling the use temperature strategy of the secondary temperature information according to the judgment of the temperature category and the statistics of the parameters in the first temperature process, cooling the use temperature strategy of the secondary temperature information to a target temperature more suitable for the temperature category and temperature detection, thereby loading the temperature cooling instruction, thereby achieving the purpose of cooling the temperature of the secondary temperature information according to the temperature category to focus on cooling the temperature and thus improving the cooling effect.
在一种可替换的实施例中，发明人发现，根据所述次温度信息各自对应的所述温度描述特征向量时，存在计算所述目标温度信息的待选温度特征向量和标准温度特征向量不准确的问题，从而难以准确地确定所述目标温度信息的温度类别，为了改善上述技术问题，步骤200所描述的根据所述次温度信息各自对应的所述温度描述特征向量，确定所述目标温度信息的温度类别的步骤，具体可以包括以下步骤q1-步骤q4所描述的技术方案。In an alternative embodiment, the inventors discovered that, when calculating the target temperature information according to the temperature description feature vectors corresponding to each of the secondary temperature information, there is a problem of inaccurate calculation of the candidate temperature feature vectors and the standard temperature feature vectors, making it difficult to accurately determine the temperature category of the target temperature information. In order to improve the above technical problem, the step of determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to each of the secondary temperature information described in step 200 may specifically include the technical solutions described in the following steps q1 to q4.
步骤q1，根据所述次温度信息的所述温度描述特征向量计算所述目标温度信息的待选温度特征向量和标准温度特征向量。Step q1, calculating the candidate temperature feature vector and the standard temperature feature vector of the target temperature information according to the temperature description feature vector of the secondary temperature information.
步骤q2，在所述次温度信息对应的所述温度描述特征向量不大于所述标准温度特征向量且所述温度描述特征向量不大于第一预设向量的前提下，确定所述温度描述特征向量对应的所述次温度信息为非待选次温度信息。Step q2, under the premise that the temperature description feature vector corresponding to the secondary temperature information is not greater than the standard temperature feature vector and the temperature description feature vector is not greater than the first preset vector, determine that the secondary temperature information corresponding to the temperature description feature vector is non-selected secondary temperature information.
示例性的，所述非待选次温度信息为并未配置有温度信息标签信息的次温度信息。Exemplarily, the non-selected secondary temperature information is secondary temperature information that is not configured with temperature information tag information.
步骤q3，在所述次温度信息对应的所述温度描述特征向量大于所述标准温度特征向量，或所述温度描述特征向量大于所述第一预设向量的前提下，确定所述次温度信息为待选次温度信息。Step q3: Under the premise that the temperature description feature vector corresponding to the secondary temperature information is greater than the standard temperature feature vector, or the temperature description feature vector is greater than the first preset vector, determine that the secondary temperature information is the secondary temperature information to be selected.
示例性的，所述待选次温度信息为配置有温度信息标签信息的次温度信息。Exemplarily, the secondary temperature information to be selected is secondary temperature information configured with temperature information tag information.
步骤q4，根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别。Step q4, determining the temperature category of the target temperature information according to the candidate temperature feature vector of the target temperature information and the number of the candidate temperature information.
可以理解，在执行上述步骤q1-步骤q4所描述的技术方案时，根据所述次温度信息各自对应的所述温度描述特征向量时，避免计算所述目标温度信息的待选温度特征向量和标准温度特征向量不准确的问题，从而能够准确地确定所述目标温度信息的温度类别。It can be understood that when executing the technical solution described in the above steps q1 to q4, when describing the characteristic vectors corresponding to the temperature of each secondary temperature information, the problem of inaccurate calculation of the candidate temperature characteristic vector and the standard temperature characteristic vector of the target temperature information is avoided, thereby being able to accurately determine the temperature category of the target temperature information.
在一种可替换的实施例中，发明人发现，根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别时，存在识别结果不准确的问题，从而难以准确地确定所述目标温度信息的温度类别，为了改善上述技术问题，步骤q4所描述的根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别的步骤，具体可以包括以下步骤q41和步骤q42所描述的技术方案。In an alternative embodiment, the inventors discovered that when determining the temperature category of the target temperature information based on the candidate temperature feature vector of the target temperature information and the number of the candidate temperature information, there is a problem of inaccurate recognition results, making it difficult to accurately determine the temperature category of the target temperature information. In order to improve the above technical problem, the step of determining the temperature category of the target temperature information based on the candidate temperature feature vector of the target temperature information and the number of the candidate temperature information described in step q4 can specifically include the technical solutions described in the following steps q41 and q42.
步骤q41，在所述待选次温度信息对应的所述温度描述特征向量大于第一余弦值和所述标准温度特征向量的识别结果的前提下，将所述待选次温度信息确定为目标待选次温度信息。Step q41, on the premise that the temperature description feature vector corresponding to the temperature information to be selected is greater than the recognition result of the first cosine value and the standard temperature feature vector, the temperature information to be selected is determined as the target temperature information to be selected.
举例而言，所述目标待选次温度信息为配置有目标温度信息标签的次温度信息。For example, the target selected secondary temperature information is secondary temperature information configured with a target temperature information tag.
步骤q42，在所述待选温度特征向量不大于第二预设向量且所述目标待选次温度信息的数量不大于第三预设向量的前提下，确定所述目标温度信息的温度类别为所述事先设置的温度。Step q42, under the premise that the to-be-selected temperature feature vector is not greater than the second preset vector and the quantity of the target to-be-selected secondary temperature information is not greater than the third preset vector, determining that the temperature category of the target temperature information is the pre-set temperature.
可以理解，在执行上述步骤q41和步骤q42所描述的技术方案时，根据所述目标温度信息的所述待选温度特征向量和所述待选次温度信息的数量确定所述目标温度信息的温度类别时，改善识别结果不准确的问题，从而能够准确地确定所述目标温度信息的温度类别。It can be understood that when executing the technical solutions described in the above steps q41 and q42, when determining the temperature category of the target temperature information based on the candidate temperature feature vector of the target temperature information and the number of the candidate temperature information, the problem of inaccurate recognition results is improved, thereby being able to accurately determine the temperature category of the target temperature information.
在一种可替换的实施例中，发明人发现，生成与所述目标温度信息匹配的样本温度指标列队时，存在温度值不精确的问题，从而难以精确地生成与所述目标温度信息匹配的样本温度指标列队，为了改善上述技术问题，步骤200所描述的生成与所述目标温度信息匹配的样本温度指标列队的步骤，具体可以包括以下步骤w1-步骤w3所描述的技术方案。In an alternative embodiment, the inventors discovered that when generating a sample temperature index queue that matches the target temperature information, there is a problem of inaccurate temperature values, making it difficult to accurately generate a sample temperature index queue that matches the target temperature information. In order to improve the above technical problem, the step of generating a sample temperature index queue that matches the target temperature information described in step 200 may specifically include the technical solutions described in the following steps w1-w3.
步骤w1，在所述次温度信息为所述待选次温度信息的前提下，将第一温度值作为所述次温度信息对应的温度值。Step w1, on the premise that the secondary temperature information is the to-be-selected secondary temperature information, taking the first temperature value as the temperature value corresponding to the secondary temperature information.
步骤w2，在所述次温度信息为所述非待选次温度信息的前提下，将第二温度值作为所述次温度信息对应的温度值。Step w2: On the premise that the secondary temperature information is the non-selected secondary temperature information, the second temperature value is used as the temperature value corresponding to the secondary temperature information.
步骤w3，利用所述第一温度值和所述第二温度值生成所述目标温度信息的所述样本温度指标列队。Step w3: Generate the sample temperature indicator queue of the target temperature information by using the first temperature value and the second temperature value.
可以理解，在执行上述步骤w1-步骤w3所描述的技术方案时，生成与所述目标温度信息匹配的样本温度指标列队时，改善温度值不精确的问题，从而能够精确地生成与所述目标温度信息匹配的样本温度指标列队。It can be understood that when executing the technical solution described in the above steps w1 to w3, when generating a sample temperature index queue matching the target temperature information, the problem of inaccurate temperature values is improved, so that a sample temperature index queue matching the target temperature information can be accurately generated.
在一种可替换的实施例中，发明人发现，依照为各个所述次温度信息配置的使用温度策略加载温度检测时，存在各个所述次温度信息不准确的问题，从而难以准确地依照为各个所述次温度信息配置的使用温度策略加载温度检测，为了改善上述技术问题，步骤300所描述的依照为各个所述次温度信息配置的使用温度策略加载温度检测的步骤，具体可以包括以下步骤e1和步骤e2所描述的技术方案。In an alternative embodiment, the inventors discovered that when temperature detection is loaded according to the temperature strategy configured for each of the sub-temperature information, there is a problem of inaccuracy in each of the sub-temperature information, making it difficult to accurately load temperature detection according to the temperature strategy configured for each of the sub-temperature information. In order to improve the above technical problem, the step of loading temperature detection according to the temperature strategy configured for each of the sub-temperature information described in step 300 can specifically include the technical solutions described in the following steps e1 and e2.
步骤e1，将第三温度值配置给各个所述次温度信息，作为所述次温度信息的所述使用温度策略。Step e1: assigning a third temperature value to each of the sub-temperature information as the use temperature strategy of the sub-temperature information.
步骤e2，依照所述使用温度策略加载所述温度检测。Step e2, loading the temperature detection according to the temperature usage strategy.
可以理解，在执行上述步骤e1和步骤e2所描述的技术方案时，依照为各个所述次温度信息配置的使用温度策略加载温度检测时，改善各个所述次温度信息不准确的问题，从而能够准确地依照为各个所述次温度信息配置的使用温度策略加载温度检测。It can be understood that when executing the technical solutions described in the above steps e1 and e2, when the temperature detection is loaded in accordance with the temperature strategy configured for each of the sub-temperature information, the problem of inaccurate temperature information is improved, so that the temperature detection can be accurately loaded in accordance with the temperature strategy configured for each of the sub-temperature information.
在一种可替换的实施例中，发明人发现，在加载所述温度检测的过程中时，存在温度检测不准确的问题，从而难以准确地统计各个所述次温度信息对应的所述温度描述特征向量的变化状态，为了改善上述技术问题，步骤400所描述的在加载所述温度检测的过程中，统计各个所述次温度信息对应的所述温度描述特征向量的变化状态的步骤，具体可以包括以下步骤r1-步骤r3所描述的技术方案。In an alternative embodiment, the inventors discovered that, in the process of loading the temperature detection, there is a problem of inaccurate temperature detection, making it difficult to accurately count the change state of the temperature description feature vector corresponding to each of the sub-temperature information. In order to improve the above technical problem, the step of counting the change state of the temperature description feature vector corresponding to each of the sub-temperature information in the process of loading the temperature detection described in step 400 can specifically include the technical solutions described in the following steps r1-r3.
步骤r1，获取各个所述次温度信息在所述温度检测过程中对应的所述温度描述特征向量的最大值和所述温度描述特征向量的最小值。Step r1, obtaining the maximum value of the temperature description feature vector and the minimum value of the temperature description feature vector corresponding to each of the sub-temperature information in the temperature detection process.
步骤r2，计算所述温度描述特征向量的最大值和所述温度描述特征向量的最小值的差值作为所述温度描述特征向量的变化状态。Step r2, calculating the difference between the maximum value of the temperature description feature vector and the minimum value of the temperature description feature vector as the change state of the temperature description feature vector.
步骤r3，统计各个所述次温度信息的所述温度描述特征向量的变化状态。Step r3, counting the change state of the temperature description feature vector of each of the sub-temperature information.
可以理解，在执行上述步骤r1-步骤r3所描述的技术方案时，在加载所述温度检测的过程中时，改善温度检测不准确的问题，从而能够准确地统计各个所述次温度信息对应的所述温度描述特征向量的变化状态。It can be understood that when executing the technical solution described in the above steps r1 to r3, the problem of inaccurate temperature detection is improved during the process of loading the temperature detection, so that the change state of the temperature description feature vector corresponding to each of the sub-temperature information can be accurately counted.
在一种可替换的实施例中，发明人发现，根据所述温度描述特征向量的变化状态冷却所述使用温度策略时，存在变化状态不可靠的问题，从而难以可靠地得到目标温度，为了改善上述技术问题，步骤300所描述的根据所述温度描述特征向量的变化状态冷却所述使用温度策略，得到目标温度的步骤，具体可以包括以下步骤t1-步骤t3所描述的技术方案。In an alternative embodiment, the inventors discovered that when the temperature strategy is cooled according to the changing state of the temperature description characteristic vector, there is a problem of unreliable changing state, making it difficult to reliably obtain the target temperature. In order to improve the above technical problem, the step of cooling the temperature strategy according to the changing state of the temperature description characteristic vector to obtain the target temperature described in step 300 may specifically include the technical solutions described in the following steps t1-t3.
步骤t1，获取各个所述次温度信息在所述温度检测过程中对应的所述温度描述特征向量的变化状态。Step t1, obtaining the change state of the temperature description feature vector corresponding to each of the sub-temperature information during the temperature detection process.
步骤t2，计算全部所述次温度信息的所述温度描述特征向量的变化状态的平均变化状态。Step t2, calculating the average change state of the change states of the temperature description feature vectors of all the sub-temperature information.
步骤t3，根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果，冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度。Step t3: Cooling the use temperature strategy corresponding to the secondary temperature information to obtain the target temperature according to the comparison result of the change state of the temperature description feature vector and the average change state.
可以理解，在执行上述步骤t1-步骤t3所描述的技术方案时，根据所述温度描述特征向量的变化状态冷却所述使用温度策略时，改善变化状态不可靠的问题，从而能够可靠地得到目标温度。It can be understood that when executing the technical solution described in the above steps t1 to t3, when cooling the use temperature strategy according to the change state of the temperature description feature vector, the problem of unreliable change state is improved, so that the target temperature can be reliably obtained.
在一种可替换的实施例中，发明人发现，根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果时，存在次温度信息的所述目标温度不精确的问题，从而难以准确地冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度，为了改善上述技术问题，步骤t3所描述的根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果，冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度的步骤，具体可以包括以下步骤t31-步骤t33所描述的技术方案。In an alternative embodiment, the inventors discovered that, when comparing the change state of the temperature description characteristic vector with the average change state, there is a problem of inaccurate target temperature of the secondary temperature information, making it difficult to accurately cool the usage temperature strategy corresponding to the secondary temperature information to obtain the target temperature. In order to improve the above technical problem, the step described in step t3 of cooling the usage temperature strategy corresponding to the secondary temperature information to obtain the target temperature according to the comparison result of the change state of the temperature description characteristic vector with the average change state can specifically include the technical solutions described in the following steps t31-t33.
步骤t31，在所述温度描述特征向量的变化状态大于第二余弦值与所述平均变化状态的识别结果的前提下，将第一目标温度值作为对应的所述次温度信息的所述目标温度。Step t31, on the premise that the change state of the temperature description feature vector is greater than the recognition result of the second cosine value and the average change state, taking the first target temperature value as the target temperature of the corresponding secondary temperature information.
步骤t32，在所述温度描述特征向量的变化状态不大于第三余弦值与所述平均变化状态的识别结果的前提下，将第三目标温度值作为对应的所述次温度信息的所述目标温度。Step t32, on the premise that the change state of the temperature description feature vector is not greater than the recognition result of the third cosine value and the average change state, taking the third target temperature value as the target temperature of the corresponding secondary temperature information.
步骤t33，在所述温度描述特征向量的变化状态介于所述第三余弦值与所述平均变化状态的识别结果与所述第二余弦值与所述平均变化状态的识别结果之间的前提下，将第二目标温度值作为对应的所述次温度信息的所述目标温度。Step t33, on the premise that the change state of the temperature description feature vector is between the recognition result of the third cosine value and the average change state and the recognition result of the second cosine value and the average change state, the second target temperature value is used as the target temperature of the corresponding secondary temperature information.
举例而言，所述第二余弦值大于所述第三余弦值。For example, the second cosine value is greater than the third cosine value.
可以理解，在执行上述步骤t31-步骤t33所描述的技术方案时，根据所述温度描述特征向量的变化状态与所述平均变化状态的比较结果时，改善次温度信息的所述目标温度不精确的问题，从而能够准确地冷却所述次温度信息对应的所述使用温度策略以得到所述目标温度。It can be understood that when executing the technical solution described in the above steps t31-step t33, the problem of inaccurate target temperature of the secondary temperature information is improved when comparing the change state of the temperature description characteristic vector with the average change state, so that the usage temperature strategy corresponding to the secondary temperature information can be accurately cooled to obtain the target temperature.
在一种可能的实施例中，可以包括以下步骤a1所描述的技术方案。In a possible embodiment, the technical solution described in step a1 may be included.
步骤a1，在所述目标温度信息的温度类别指示为一般温度的前提下，依照所述样本温度指标列队加载所述温度检测和所述温度冷却指令。Step a1, under the premise that the temperature category of the target temperature information indicates a general temperature, the temperature detection and the temperature cooling instructions are loaded according to the sample temperature index queue.
可以理解，在执行上述步骤a1所描述的技术方案时，通过温度类别指示为一般温度，从而提高加载所述温度检测和所述温度冷却指令的精度。It can be understood that when executing the technical solution described in the above step a1, the temperature category is indicated as a general temperature, thereby improving the accuracy of loading the temperature detection and the temperature cooling instruction.
在一种可能的实施例中，可以包括以下步骤s1所描述的技术方案。In a possible embodiment, the technical solution described in the following steps s1 may be included.
步骤s1，在所述温度描述特征向量的变化状态未能达到冷却条件的前提下，将所述目标温度信息的温度类别冷却为所述一般温度。Step s1, under the premise that the change state of the temperature description feature vector fails to reach the cooling condition, the temperature category of the target temperature information is cooled to the general temperature.
可以理解，在执行上述步骤s1所描述的技术方案时，通过确定温度描述特征向量的变化状态，从而提高温度类别冷却为所述一般温度的精度。It can be understood that when executing the technical solution described in the above step s1, the accuracy of cooling the temperature category to the general temperature is improved by determining the change state of the temperature description feature vector.
在上述基础上，请结合参阅图2，提供了一种服务器智能冷却装置200，应用于数据处理终端，所述装置包括：Based on the above, please refer to FIG. 2 , which provides a server intelligent cooling device 200, which is applied to a data processing terminal, and includes:
描述特征获取模型210，用于在收到实时服务器温度数据的检测许可的前提下，获取当前采集到的目标温度信息中包含的次温度信息各自对应的温度描述特征向量；The description feature acquisition model 210 is used to obtain the temperature description feature vectors corresponding to the sub-temperature information contained in the currently collected target temperature information, under the premise of receiving the detection permission of the real-time server temperature data;
温度指标生产模型220，用于根据所述次温度信息各自对应的所述温度描述特征向量，确定所述目标温度信息的温度类别，并生成与所述目标温度信息匹配的样本温度指标列队；A temperature index production model 220, for determining the temperature category of the target temperature information according to the temperature description feature vectors corresponding to the sub-temperature information, and generating a sample temperature index queue matching the target temperature information;
温度检测加载模块230，用于在所述目标温度信息的温度类别指示为事先设置的温度的前提下，依照为各个所述次温度信息配置的使用温度策略加载温度检测；The temperature detection loading module 230 is used to load the temperature detection according to the use temperature strategy configured for each of the secondary temperature information, under the premise that the temperature category indication of the target temperature information is a pre-set temperature;
变化状态统计模块240，用于在加载所述温度检测的过程中，统计各个所述次温度信息对应的所述温度描述特征向量的变化状态；A change state statistics module 240 is used to count the change state of the temperature description feature vector corresponding to each of the sub-temperature information during the process of loading the temperature detection;
目标温度得到模块250，用于在所述温度描述特征向量的变化状态达到冷却条件的前提下，根据所述温度描述特征向量的变化状态冷却所述使用温度策略，得到目标温度；A target temperature obtaining module 250 is used to cool the use temperature strategy according to the change state of the temperature description feature vector to obtain a target temperature, provided that the change state of the temperature description feature vector reaches a cooling condition;
冷却指令加载模块260，用于依照各个所述次温度信息的所述目标温度加载温度冷却指令。The cooling instruction loading module 260 is used to load a temperature cooling instruction according to the target temperature of each of the sub-temperature information.
在上述基础上，请结合参阅图3，示出了一种服务器智能冷却系统300，包括互相之间通信的处理器310和存储器320，所述处理器310用于从所述存储器320中读取计算机程序并执行，以实现上述的方法。Based on the above, please refer to FIG. 3 , which shows a server intelligent cooling system 300 , including a processor 310 and a memory 320 that communicate with each other, and the processor 310 is used to read and execute a computer program from the memory 320 to implement the above method.
在上述基础上，还提供了一种计算机可读存储介质，其上存储的计算机程序在运行时实现上述的方法。Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.
综上，基于上述方案，采用获取目标温度信息中次温度信息对应的温度描述特征向量确定目标温度信息的温度类别，在温度类别判断为事先设置的温度的前提下，在温度检测的过程中，统计温度描述特征向量的变化状态，从而根据温度描述特征向量的变化状态冷却次温度信息对应的使用温度策略，从而得到目标温度，依照次温度信息的目标温度加载温度冷却指令的许可，通过根据温度描述特征向量判断温度类别，并根据温度类别配置次温度信息的使用温度策略，根据温度检测过程中统计的温度描述特征向量的变化状态，对次温度信息的使用温度策略进行冷却，以得到用于温度冷却指令的目标温度，达到了根据温度类别的判断和第一温度过程中参数的统计冷却次温度信息的使用温度策略，将次温度信息的使用温度策略冷却至与温度类别和温度检测更适合的目标温度从而加载温度冷却指令的目的，从而实现了根据温度类别冷却次温度信息的温度以冷却温度重点从而提高冷却的效果。In summary, based on the above scheme, the temperature category of the target temperature information is determined by obtaining the temperature description feature vector corresponding to the secondary temperature information in the target temperature information. Under the premise that the temperature category is judged to be a pre-set temperature, during the temperature detection process, the change state of the temperature description feature vector is statistically analyzed, so as to cool the use temperature strategy corresponding to the secondary temperature information according to the change state of the temperature description feature vector, so as to obtain the target temperature, and load the permission of the temperature cooling instruction according to the target temperature of the secondary temperature information. By judging the temperature category according to the temperature description feature vector, and configuring the use temperature strategy of the secondary temperature information according to the temperature category, the use temperature strategy of the secondary temperature information is cooled according to the change state of the temperature description feature vector statistically analyzed during the temperature detection process, so as to obtain the target temperature for the temperature cooling instruction, so as to achieve the purpose of cooling the use temperature strategy of the secondary temperature information according to the judgment of the temperature category and the statistics of the parameters in the first temperature process, cooling the use temperature strategy of the secondary temperature information to a target temperature more suitable for the temperature category and temperature detection, and thus loading the temperature cooling instruction, so as to achieve the purpose of cooling the temperature of the secondary temperature information according to the temperature category to focus on cooling the temperature and thus improve the cooling effect.
应当理解，上述所示的系统及其模块可以利用各种方式来实现。例如，在一些实施例中，系统及其模块可以通过硬件、软件或者软件和硬件的结合来实现。其中，硬件部分可以利用专用逻辑来实现；软件部分则可以存储在存储器中，由适当的指令执行系统，例如微处理器或者专用设计硬件来执行。本领域技术人员可以理解上述的方法和系统可以使用计算机可执行指令和/或包含在处理器控制代码中来实现，例如在诸如磁盘、CD或DVD-ROM的载体介质、诸如只读存储器(固件)的可编程的存储器或者诸如光学或电子信号载体的数据载体上提供了这样的代码。本申请的系统及其模块不仅可以有诸如超大规模集成电路或门阵列、诸如逻辑芯片、晶体管等的半导体、或者诸如现场可编程门阵列、可编程逻辑设备等的可编程硬件设备的硬件电路实现，也可以用例如由各种类型的处理器所执行的软件实现，还可以由上述硬件电路和软件的结合(例如，固件)来实现。It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art will understand that the above methods and systems can be implemented using computer executable instructions and/or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).
需要说明的是，不同实施例可能产生的有益效果不同，在不同的实施例里，可能产生的有益效果可以是以上任意一种或几种的组合，也可以是其他任何可能获得的有益效果。It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or may be any other possible beneficial effects.
上文已对基本概念做了描述，显然，对于本领域技术人员来说，上述详细披露仅仅作为示例，而并不构成对本申请的限定。虽然此处并没有明确说明，本领域技术人员可能会对本申请进行各种修改、改进和修正。该类修改、改进和修正在本申请中被建议，所以该类修改、改进、修正仍属于本申请示范实施例的精神和范围。The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of the present application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and amendments to the present application. Such modifications, improvements and amendments are suggested in the present application, so such modifications, improvements and amendments still belong to the spirit and scope of the exemplary embodiments of the present application.
同时，本申请使用了特定词语来描述本申请的实施例。如“一个实施例”、“一实施例”、和/或“一些实施例”意指与本申请至少一个实施例相关的某一特征、结构或特点。因此，应强调并注意的是，本说明书中在不同位置两次或多次提及的“一实施例”或“一个实施例”或“一个替代性实施例”并不一定是指同一实施例。此外，本申请的一个或多个实施例中的某些特征、结构或特点可以进行适当的组合。At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and/or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.
此外，本领域技术人员可以理解，本申请的各方面可以通过若干具有可专利性的种类或情况进行说明和描述，包括任何新的和有用的工序、机器、产品或物质的组合，或对他们的任何新的和有用的改进。相应地，本申请的各个方面可以完全由硬件执行、可以完全由软件(包括固件、常驻软件、微码等)执行、也可以由硬件和软件组合执行。以上硬件或软件均可被称为“数据块”、“模块”、“引擎”、“单元”、“组件”或“系统”。此外，本申请的各方面可能表现为位于一个或多个计算机可读介质中的计算机产品，该产品包括计算机可读程序编码。In addition, it will be appreciated by those skilled in the art that various aspects of the present application may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present application may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.
计算机存储介质可能包含一个内含有计算机程序编码的传播数据信号，例如在基带上或作为载波的一部分。该传播信号可能有多种表现形式，包括电磁形式、光形式等，或合适的组合形式。计算机存储介质可以是除计算机可读存储介质之外的任何计算机可读介质，该介质可以通过连接至一个指令执行系统、装置或设备以实现通讯、传播或传输供使用的程序。位于计算机存储介质上的程序编码可以通过任何合适的介质进行传播，包括无线电、电缆、光纤电缆、RF、或类似介质，或任何上述介质的组合。A computer storage medium may include a propagated data signal containing computer program code, for example, in baseband or as part of a carrier wave. The propagated signal may be in a variety of forms, including electromagnetic, optical, etc., or a suitable combination. A computer storage medium may be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit the program for use. The program code on the computer storage medium may be transmitted via any suitable medium, including radio, cable, fiber optic cable, RF, or similar media, or any combination of the above media.
本申请各部分操作所需的计算机程序编码可以用任意一种或多种程序语言编写，包括面向对象编程语言如Java、Scala、Smalltalk、Eiffel、JADE、Emerald、C++、C#、VB.NET、Python等，常规程序化编程语言如C语言、Visual Basic、Fortran 2003、Perl、COBOL 2002、PHP、ABAP，动态编程语言如Python、Ruby和Groovy，或其他编程语言等。该程序编码可以完全在用户计算机上运行、或作为独立的软件包在用户计算机上运行、或部分在用户计算机上运行部分在远程计算机运行、或完全在远程计算机或服务器上运行。在后种情况下，远程计算机可以通过任何网络形式与用户计算机连接，比如局域网(LAN)或广域网(WAN)，或连接至外部计算机(例如通过因特网)，或在云计算环境中，或作为服务使用如软件即服务(SaaS)。The computer program coding required for the operation of each part of the present application can be written in any one or more programming languages, including object-oriented programming languages such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python, etc., conventional procedural programming languages such as C language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, Ruby and Groovy, or other programming languages, etc. The program coding can be run completely on the user's computer, or run on the user's computer as an independent software package, or run partly on the user's computer and partly on the remote computer, or run completely on the remote computer or server. In the latter case, the remote computer can be connected to the user's computer through any network form, such as a local area network (LAN) or a wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as software as a service (SaaS).
此外，除非权利要求中明确说明，本申请所述处理元素和序列的顺序、数字字母的使用、或其他名称的使用，并非用于限定本申请流程和方法的顺序。尽管上述披露中通过各种示例讨论了一些目前认为有用的发明实施例，但应当理解的是，该类细节仅起到说明的目的，附加的权利要求并不仅限于披露的实施例，相反，权利要求旨在覆盖所有符合本申请实施例实质和范围的修正和等价组合。例如，虽然以上所描述的系统组件可以通过硬件设备实现，但是也可以只通过软件的解决方案得以实现，如在现有的服务器或移动设备上安装所描述的系统。In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this application, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this application. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this application. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.
同理，应当注意的是，为了简化本申请披露的表述，从而帮助对一个或多个发明实施例的理解，前文对本申请实施例的描述中，有时会将多种特征归并至一个实施例、附图或对其的描述中。但是，这种披露方法并不意味着本申请对象所需要的特征比权利要求中提及的特征多。实际上，实施例的特征要少于上述披露的单个实施例的全部特征。Similarly, it should be noted that in order to simplify the description of the disclosure of this application and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this application, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the object of this application are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.
一些实施例中使用了描述成分、属性数量的数字，应当理解的是，此类用于实施例描述的数字，在一些示例中使用了修饰词“大约”、“近似”或“大体上”来修饰。除非另外说明，“大约”、“近似”或“大体上”表明所述数字允许有适应性的变化。相应地，在一些实施例中，说明书和权利要求中使用的数值参数均为近似值，该近似值根据个别实施例所需特点可以发生改变。在一些实施例中，数值参数应考虑规定的有效数位并采用一般位数保留的方法。尽管本申请一些实施例中用于确认其范围广度的数值域和参数为近似值，在具体实施例中，此类数值的设定在可行范围内尽可能精确。In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used for the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers allow adaptive changes. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which can be changed according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of the present application are approximate values, in specific embodiments, the setting of such numerical values is as accurate as possible within the feasible range.
针对本申请引用的每个专利、专利申请、专利申请公开物和其他材料，如文章、书籍、说明书、出版物、文档等，特此将其全部内容并入本申请作为参考。与本申请内容不一致或产生冲突的申请历史文件除外，对本申请权利要求最广范围有限制的文件(当前或之后附加于本申请中的)也除外。需要说明的是，如果本申请附属材料中的描述、定义、和/或术语的使用与本申请所述内容有不一致或冲突的地方，以本申请的描述、定义和/或术语的使用为准。Each patent, patent application, patent application disclosure, and other materials, such as articles, books, instructions, publications, documents, etc., cited in this application are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the content of this application, documents that limit the broadest scope of the claims of this application (currently or later attached to this application) are also excluded. It should be noted that if the descriptions, definitions, and/or use of terms in the attached materials of this application are inconsistent or conflicting with the content described in this application, the descriptions, definitions, and/or use of terms in this application shall prevail.
最后，应当理解的是，本申请中所述实施例仅用以说明本申请实施例的原则。其他的变形也可能属于本申请的范围。因此，作为示例而非限制，本申请实施例的替代配置可视为与本申请的教导一致。相应地，本申请的实施例不仅限于本申请明确介绍和描述的实施例。Finally, it should be understood that the embodiments described in this application are only used to illustrate the principles of the embodiments of the present application. Other variations may also fall within the scope of the present application. Therefore, as an example and not a limitation, the alternative configurations of the embodiments of the present application may be considered to be consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to the embodiments explicitly introduced and described in this application.
以上仅为本申请的实施例而已，并不用于限制本申请。对于本领域技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110860985.5ACN113608596B (en) | 2021-07-29 | 2021-07-29 | Intelligent cooling method and system for server |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110860985.5ACN113608596B (en) | 2021-07-29 | 2021-07-29 | Intelligent cooling method and system for server |
| Publication Number | Publication Date |
|---|---|
| CN113608596A CN113608596A (en) | 2021-11-05 |
| CN113608596Btrue CN113608596B (en) | 2024-05-24 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110860985.5AActiveCN113608596B (en) | 2021-07-29 | 2021-07-29 | Intelligent cooling method and system for server |
| Country | Link |
|---|---|
| CN (1) | CN113608596B (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114167964B (en)* | 2021-12-01 | 2024-05-24 | 上海德衡数据科技有限公司 | Wind side natural cooling method and system based on data center |
| CN114167965B (en)* | 2021-12-02 | 2024-07-12 | 上海德衡数据科技有限公司 | High-heat-density intelligent refrigerating method and system based on data center |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016157237A (en)* | 2015-02-24 | 2016-09-01 | Ｎｅｃプラットフォームズ株式会社 | Server unit and cooling method thereof |
| CN108317670A (en)* | 2018-03-02 | 2018-07-24 | 深圳市华之任有限公司 | A kind of refrigeration system energy-saving control method and system based on machine learning |
| CN108981092A (en)* | 2017-05-31 | 2018-12-11 | 中兴通讯股份有限公司 | Central air conditioner temp controller, the control method of fan coil, medium and system |
| CN109945439A (en)* | 2019-03-29 | 2019-06-28 | 龙马智芯（珠海横琴）科技有限公司 | A kind of indoor environment parameter control method and system |
| CN110986306A (en)* | 2019-11-30 | 2020-04-10 | 远景智能国际私人投资有限公司 | Method, device and equipment for adjusting room temperature based on machine learning and storage medium |
| CN112738209A (en)* | 2020-12-26 | 2021-04-30 | 顾小菊 | Data analysis method based on big data and artificial intelligence and cloud computing server |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI435038B (en)* | 2011-12-14 | 2014-04-21 | Ind Tech Res Inst | Air conditioning control device and method thereof |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016157237A (en)* | 2015-02-24 | 2016-09-01 | Ｎｅｃプラットフォームズ株式会社 | Server unit and cooling method thereof |
| CN108981092A (en)* | 2017-05-31 | 2018-12-11 | 中兴通讯股份有限公司 | Central air conditioner temp controller, the control method of fan coil, medium and system |
| CN108317670A (en)* | 2018-03-02 | 2018-07-24 | 深圳市华之任有限公司 | A kind of refrigeration system energy-saving control method and system based on machine learning |
| CN109945439A (en)* | 2019-03-29 | 2019-06-28 | 龙马智芯（珠海横琴）科技有限公司 | A kind of indoor environment parameter control method and system |
| CN110986306A (en)* | 2019-11-30 | 2020-04-10 | 远景智能国际私人投资有限公司 | Method, device and equipment for adjusting room temperature based on machine learning and storage medium |
| CN112738209A (en)* | 2020-12-26 | 2021-04-30 | 顾小菊 | Data analysis method based on big data and artificial intelligence and cloud computing server |
| Publication number | Publication date |
|---|---|
| CN113608596A (en) | 2021-11-05 |
| Publication | Publication Date | Title |
|---|---|---|
| CN113608596B (en) | Intelligent cooling method and system for server | |
| CN112684396B (en) | Data preprocessing method and system for electric energy meter operation error monitoring model | |
| CN112182508A (en) | Abnormity monitoring method and device for compliance business indexes | |
| CN114168747A (en) | Knowledge base construction method and system based on cloud service | |
| CN110263050A (en) | Data processing method, device, equipment and storage medium | |
| CN116737975A (en) | Public health data query method and system applied to image analysis | |
| CN116910478A (en) | Lithium ion battery accident tracing method and system | |
| CN116468534A (en) | Credit information level analysis method and system for collective economic organization | |
| CN113610117B (en) | Underwater sensing data processing method and system based on depth data | |
| CN113609362B (en) | Data management method and system based on 5G | |
| CN113626559B (en) | Semantic-based intelligent network document retrieval method and system | |
| CN114167965B (en) | High-heat-density intelligent refrigerating method and system based on data center | |
| CN113613252B (en) | 5G-based network security analysis method and system | |
| CN113610123B (en) | Multi-source heterogeneous data fusion method and system based on Internet of things | |
| CN115409510B (en) | An online transaction security system and method | |
| CN113613462B (en) | Data center heat dissipation method and system | |
| CN113611425B (en) | Method and system for intelligent regional medical integrated database based on software definition | |
| CN114611478B (en) | Information processing method and system based on artificial intelligence and cloud platform | |
| CN113645063B (en) | Intelligent data integration method and system based on edge calculation | |
| CN113596849B (en) | Wireless communication channel dynamic allocation method and system for smart home | |
| CN115563153B (en) | Task batch processing method, system and server based on artificial intelligence | |
| CN113918963B (en) | Authority authorization processing method and system based on business requirements | |
| CN113627165B (en) | Bedside interaction method and system based on intelligent medical treatment | |
| CN119694095A (en) | A distribution network early warning method and system for charging station power supply load | |
| CN115357924A (en) | Data encryption method and system based on dynamic adjustment and cloud platform |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | Denomination of invention:A server intelligent cooling method and system Granted publication date:20240524 Pledgee:Agricultural Bank of China Limited Shanghai Changning Branch Pledgor:SHANGHAI DATACENTER SCIENCE Co.,Ltd. Registration number:Y2025980030749 |