CN114963459A - A thermal comfort adjustment method and device thereof - Google Patents
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Abstract
Description
Translated fromChinese技术领域technical field
本发明涉及智能家居技术领域，特别涉及一种热舒适度调节方法及其设备。The invention relates to the technical field of smart home, in particular to a thermal comfort adjustment method and device thereof.
背景技术Background technique
目前保证室内热舒适很重要的手段是通过调控空调、新风机、净化器、加湿器等空气设备，然后利用人体热舒适度评价方法对环境进行评价。现有标准如ANSI(AmericanNational Standards Institute，美国国家标准学会)/ASHRAE 55-2017(AmericanSociety of Heating、Refrigerating and Air-Conditioning Engineers，美国采暖、制冷与空调工程师学会)、ISO 7730-2005(International Standard Organization，国际标准化组织)、GB/T 18049-2017(强制性国家标准/推荐性国家标准)等，将人体热舒适度分为7级(包括冷、凉、稍凉、舒适、稍暖、暖、热)，通过调节7级热舒适度，联动控制空气设备，达到想要的室内温度、室内湿度、室内空气流速。At present, the most important means to ensure indoor thermal comfort is to adjust the air equipment such as air conditioners, fresh fans, purifiers, and humidifiers, and then use the evaluation method of human thermal comfort to evaluate the environment. Existing standards such as ANSI (American National Standards Institute, American National Standards Institute)/ASHRAE 55-2017 (American Society of Heating, Refrigerating and Air-Conditioning Engineers, American Society of Heating, Refrigerating and Air-Conditioning Engineers), ISO 7730-2005 (International Standard Organization , International Organization for Standardization), GB/T 18049-2017 (mandatory national standard/recommended national standard), etc., the human thermal comfort is divided into 7 levels (including cold, cool, slightly cooler, comfortable, slightly warmer, warmer, By adjusting the 7-level thermal comfort level, the air equipment can be linked and controlled to achieve the desired indoor temperature, indoor humidity, and indoor air flow rate.
但是，人体热舒适度受地域、季节、室内温度、室内湿度、室内空气流速、穿衣指数、代谢率、室外温度等因素影响，目前还没有一种针对不同用户对热舒适度的需求提供个性化调控的方案。However, the thermal comfort of the human body is affected by factors such as region, season, indoor temperature, indoor humidity, indoor air flow rate, clothing index, metabolic rate, and outdoor temperature. control scheme.
发明内容SUMMARY OF THE INVENTION
本发明提供一种热舒适度调节方法及其设备，用于针对不同用户对热舒适的感受程度提供个性化的热舒适参数推荐并调控智能空气设备。The invention provides a thermal comfort adjustment method and device thereof, which are used for providing personalized thermal comfort parameter recommendation and regulating intelligent air equipment according to different users' feeling of thermal comfort.
第一方面，本发明实施例提供的一种热舒适度调节方法，包括：In a first aspect, a thermal comfort adjustment method provided by an embodiment of the present invention includes:
确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；determining the user's current local environment and thermal comfort preference data, wherein the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort in the indoor environment;
从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；From a preset thermal comfort set, a subset of thermal comfort parameters matching the regional environment and the thermal comfort preference data is screened, wherein the thermal comfort set includes all thermal comfort levels, and a subset of thermal comfort parameters corresponding to each thermal comfort level. Multiple thermal comfort parameter subsets corresponding to the level, each thermal comfort parameter subset is used to represent the attribute information of the same sample user and the thermal comfort information of the environment to which they belong;
将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。recommending the thermal comfort parameters included in the selected thermal comfort parameter subset to the user, and adjusting the smart air according to the thermal comfort parameters corresponding to the setting instruction in response to a setting instruction sent by the user based on the recommended thermal comfort parameter equipment.
本发明实施例能够针对不同用户对热舒适的感受程度，为不同用户推荐个性化的热舒适参数，并可以利用个性化的热舒适参数调控智能空气设备，为用户提供个性化的调控方案，有效提高用户的使用体验。The embodiment of the present invention can recommend personalized thermal comfort parameters for different users according to the degree of thermal comfort of different users, and can use the personalized thermal comfort parameters to control the intelligent air equipment, and provide users with a personalized control scheme, which is effective Improve user experience.
作为一种可选的实施方式，所述从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，包括：As an optional implementation manner, the selection of a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from a preset thermal comfort set includes:
若收到所述用户的热舒适等级设置指令，则从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；If a thermal comfort level setting instruction from the user is received, a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction are selected from a preset thermal comfort set;
从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集。From the plurality of thermal comfort parameter subsets, a thermal comfort parameter subset matching the regional environment and the thermal comfort preference data is selected.
作为一种可选的实施方式，所述从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集之前，还包括：As an optional implementation manner, before filtering out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from a preset thermal comfort set, the method further includes:
获取所述用户的历史热舒适数据；obtaining historical thermal comfort data of the user;
根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；According to the current regional environment of the user, filtering out the historical thermal comfort data matching the regional environment from the historical thermal comfort data;
若筛选出的所述历史热舒适数据对应的存储日期的累计天数小于阈值，则执行从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集的步骤。If the accumulated number of days of the storage date corresponding to the filtered historical thermal comfort data is less than the threshold value, execute the filtering of the thermal comfort parameter sub-parameters that match the regional environment and the thermal comfort preference data from the preset thermal comfort set. set of steps.
作为一种可选的实施方式，若所述历史热舒适数据对应的存储日期不小于阈值，所述方法还包括：As an optional implementation manner, if the storage date corresponding to the historical thermal comfort data is not less than a threshold, the method further includes:
将所述匹配的历史热舒适数据中的每个热舒适参数求均值；averaging each thermal comfort parameter in the matched historical thermal comfort data;
将所述求均值后的热舒适参数推荐给所述用户；recommending the averaged thermal comfort parameter to the user;
响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, the intelligent air device is adjusted according to the thermal comfort parameter corresponding to the setting instruction.
作为一种可选的实施方式，通过如下方式确定所述热舒适集合：As an optional implementation manner, the thermal comfort set is determined in the following manner:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
第二方面，本发明实施例提供的一种热舒适度调节设备，包括处理器和存储器，所述存储器用于存储所述处理器可执行的程序，所述处理器用于读取所述存储器中的程序并执行如下步骤：In a second aspect, a thermal comfort adjustment device provided by an embodiment of the present invention includes a processor and a memory, where the memory is used to store a program executable by the processor, and the processor is used to read a program stored in the memory program and perform the following steps:
确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；determining the user's current local environment and thermal comfort preference data, wherein the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort in the indoor environment;
从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；From a preset thermal comfort set, a subset of thermal comfort parameters matching the regional environment and the thermal comfort preference data is screened, wherein the thermal comfort set includes all thermal comfort levels, and a subset of thermal comfort parameters corresponding to each thermal comfort level. Multiple thermal comfort parameter subsets corresponding to the level, each thermal comfort parameter subset is used to represent the attribute information of the same sample user and the thermal comfort information of the environment to which they belong;
将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。recommending the thermal comfort parameters included in the selected thermal comfort parameter subset to the user, and adjusting the smart air according to the thermal comfort parameters corresponding to the setting instruction in response to a setting instruction sent by the user based on the recommended thermal comfort parameter equipment.
作为一种可选的实施方式，所述处理器具体被配置为执行：As an optional implementation manner, the processor is specifically configured to execute:
若收到所述用户的热舒适等级设置指令，则从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；If a thermal comfort level setting instruction from the user is received, a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction are selected from a preset thermal comfort set;
从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集。From the plurality of thermal comfort parameter subsets, a thermal comfort parameter subset matching the regional environment and the thermal comfort preference data is selected.
作为一种可选的实施方式，所述从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集之前，所述处理器具体还被配置为执行：As an optional implementation manner, before filtering out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from a preset thermal comfort set, the processor is further configured to To execute:
获取所述用户的历史热舒适数据；obtaining historical thermal comfort data of the user;
根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；According to the current regional environment of the user, filtering out the historical thermal comfort data matching the regional environment from the historical thermal comfort data;
若筛选出的所述历史热舒适数据对应的存储日期的累计天数小于阈值，则执行从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集的步骤。If the accumulated number of days of the storage date corresponding to the filtered historical thermal comfort data is less than the threshold value, execute the filtering of the thermal comfort parameter sub-parameters that match the regional environment and the thermal comfort preference data from the preset thermal comfort set. set of steps.
作为一种可选的实施方式，若所述历史热舒适数据对应的存储日期不小于阈值，所述处理器具体还被配置为执行：As an optional implementation manner, if the storage date corresponding to the historical thermal comfort data is not less than a threshold, the processor is specifically further configured to execute:
将所述匹配的历史热舒适数据中的每个热舒适参数求均值；averaging each thermal comfort parameter in the matched historical thermal comfort data;
将所述求均值后的热舒适参数推荐给所述用户；recommending the averaged thermal comfort parameter to the user;
响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, the intelligent air device is adjusted according to the thermal comfort parameter corresponding to the setting instruction.
作为一种可选的实施方式，所述处理器具体被配置为通过如下方式确定所述热舒适集合：As an optional implementation manner, the processor is specifically configured to determine the thermal comfort set in the following manner:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
第三方面，本发明实施例还提供一种热舒适度调节装置，包括：In a third aspect, an embodiment of the present invention further provides a thermal comfort adjustment device, including:
确定用户数据单元，用于确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；determining a user data unit for determining the user's current local environment and thermal comfort preference data, wherein the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort in the indoor environment;
筛选单元，用于从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；a screening unit, configured to filter out a subset of thermal comfort parameters matching the regional environment and the thermal comfort preference data from a preset thermal comfort set, wherein the thermal comfort set includes all thermal comfort levels, and Multiple thermal comfort parameter subsets corresponding to each thermal comfort level, each thermal comfort parameter subset is used to characterize the attribute information of the same sample user and the thermal comfort information of the environment to which they belong;
推荐调节单元，用于将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。A recommendation adjustment unit, configured to recommend the thermal comfort parameters included in the selected thermal comfort parameter subset to the user, and respond to the setting instruction sent by the user based on the recommended thermal comfort parameters, according to the corresponding setting instruction. Thermal comfort parameters adjust smart air devices.
作为一种可选的实施方式，所述筛选单元具体用于：As an optional embodiment, the screening unit is specifically used for:
若收到所述用户的热舒适等级设置指令，则从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；If a thermal comfort level setting instruction from the user is received, a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction are selected from a preset thermal comfort set;
从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集。From the plurality of thermal comfort parameter subsets, a thermal comfort parameter subset matching the regional environment and the thermal comfort preference data is selected.
作为一种可选的实施方式，所述从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集之前，所述筛选单元具体还用于：As an optional implementation manner, before filtering out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from a preset thermal comfort set, the screening unit is specifically further configured to: :
获取所述用户的历史热舒适数据；obtaining historical thermal comfort data of the user;
根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；According to the current regional environment of the user, filtering out the historical thermal comfort data matching the regional environment from the historical thermal comfort data;
若筛选出的所述历史热舒适数据对应的存储日期的累计天数小于阈值，则执行从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集的步骤。If the accumulated number of days of the storage date corresponding to the filtered historical thermal comfort data is less than the threshold value, execute the filtering of the thermal comfort parameter sub-parameters that match the regional environment and the thermal comfort preference data from the preset thermal comfort set. set of steps.
作为一种可选的实施方式，若所述历史热舒适数据对应的存储日期不小于阈值，所述筛选单元具体还用于：As an optional implementation manner, if the storage date corresponding to the historical thermal comfort data is not less than a threshold, the screening unit is further used for:
将所述匹配的历史热舒适数据中的每个热舒适参数求均值；averaging each thermal comfort parameter in the matched historical thermal comfort data;
将所述求均值后的热舒适参数推荐给所述用户；recommending the averaged thermal comfort parameter to the user;
响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, the intelligent air device is adjusted according to the thermal comfort parameter corresponding to the setting instruction.
作为一种可选的实施方式，所述筛选单元具体用于通过如下方式确定所述热舒适集合：As an optional implementation manner, the screening unit is specifically configured to determine the thermal comfort set in the following manner:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
第四方面，本发明实施例还提供计算机存储介质，其上存储有计算机程序，该程序被处理器执行时用于实现上述第一方面所述方法的步骤。In a fourth aspect, an embodiment of the present invention further provides a computer storage medium on which a computer program is stored, and when the program is executed by a processor, is used to implement the steps of the method described in the first aspect above.
本申请的这些方面或其他方面在以下的实施例的描述中会更加简明易懂。These and other aspects of the present application will be more clearly understood in the description of the following embodiments.
附图说明Description of drawings
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简要介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域的普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.
图1为本发明实施例提供的一种热舒适度调节方法的具体实施流程图；FIG. 1 is a specific implementation flowchart of a thermal comfort adjustment method provided by an embodiment of the present invention;
图2为本发明实施例提供的第一种交互界面示意图；2 is a schematic diagram of a first interactive interface provided by an embodiment of the present invention;
图3为本发明实施例提供的第二种交互界面示意图；3 is a schematic diagram of a second interactive interface provided by an embodiment of the present invention;
图4为本发明实施例提供的第三种交互界面示意图；4 is a schematic diagram of a third interactive interface provided by an embodiment of the present invention;
图5为本发明实施例提供的一种用户显示界面示意图；FIG. 5 is a schematic diagram of a user display interface provided by an embodiment of the present invention;
图6为本发明实施例提供的一种全面的热舒适度调节方法实施流程图；FIG. 6 is an implementation flowchart of a comprehensive thermal comfort adjustment method provided by an embodiment of the present invention;
图7为本发明实施例提供的一种热舒适度调节设备示意图；FIG. 7 is a schematic diagram of a thermal comfort adjustment device according to an embodiment of the present invention;
图8为本发明实施例提供的一种热舒适度调节装置示意图。FIG. 8 is a schematic diagram of a thermal comfort adjustment device according to an embodiment of the present invention.
具体实施方式Detailed ways
为了使本发明的目的、技术方案和优点更加清楚，下面将结合附图对本发明作进一步地详细描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
本发明实施例中术语“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。字符“/”一般表示前后关联对象是一种“或”的关系。In this embodiment of the present invention, the term "and/or" describes the association relationship between associated objects, indicating that there may be three relationships, for example, A and/or B, which may indicate that A exists alone, A and B exist simultaneously, and B exists alone these three situations. The character "/" generally indicates that the associated objects are an "or" relationship.
本发明实施例描述的应用场景是为了更加清楚的说明本发明实施例的技术方案，并不构成对于本发明实施例提供的技术方案的限定，本领域普通技术人员可知，随着新应用场景的出现，本发明实施例提供的技术方案对于类似的技术问题，同样适用。其中，在本发明的描述中，除非另有说明，“多个”的含义是两个或两个以上。The application scenarios described in the embodiments of the present invention are for the purpose of illustrating the technical solutions of the embodiments of the present invention more clearly, and do not constitute a limitation on the technical solutions provided by the embodiments of the present invention. It appears that the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems. Wherein, in the description of the present invention, unless otherwise specified, "plurality" means two or more.
实施例1、目前虽然也有基于人体热舒适度的调控方法，但是目前还没有一种个性化的调控方法，能够针对不同用户对热舒适度的喜好作为调控的因素，为用户提供不同的热舒适度调控需求。为了解决上述问题，本发明实施例提供一种热舒适度调节方法，能够针对不同用户对热舒适的感受程度提供个性化的热舒适参数推荐并调控智能空气设备。Example 1. Although there are currently control methods based on the thermal comfort of the human body, there is no individualized control method, which can be used as a control factor for different users' preferences for thermal comfort, so as to provide users with different thermal comforts. Degree control needs. In order to solve the above problems, the embodiments of the present invention provide a thermal comfort adjustment method, which can provide personalized thermal comfort parameter recommendations and regulate intelligent air equipment according to the degree of thermal comfort experienced by different users.
如图1所示，本发明实施例提供的一种热舒适度调节方法的具体实施流程如下所示：As shown in FIG. 1 , a specific implementation process of a thermal comfort adjustment method provided by an embodiment of the present invention is as follows:
步骤100、确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；Step 100: Determine the user's current local environment and thermal comfort preference data, wherein the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort in the indoor environment;
实施中，所述地域环境包括但不限于：地域、季节、室外天气情况等。所述热舒适喜好数据包括但不限于用户对温度、风速、湿度的感受程度。In implementation, the regional environment includes, but is not limited to, regions, seasons, outdoor weather conditions, and the like. The thermal comfort preference data includes, but is not limited to, the user's perception of temperature, wind speed, and humidity.
作为一种可选的实施方式，通过如下方式确定用户的热舒适喜好数据：As an optional implementation manner, the thermal comfort preference data of the user is determined in the following manner:
根据用户信息和历史操作数据，确定用户的热舒适喜好数据，其中所述用户信息用于表征所述用户的属性信息和所在地域的环境数据，所述历史操作数据用于表征所述用户操作过的智能空气设备的运行数据。Determine the thermal comfort preference data of the user according to the user information and historical operation data, wherein the user information is used to represent the attribute information of the user and the environmental data of the local area, and the historical operation data is used to represent the operation history of the user operating data of smart air devices.
实施中，通过动态感知用户所在空间场景内环境因素、气候因素、人的体感和身体健康因素的变化和需求，从用户所属人群、地域气候、温度喜好、湿度喜好、风速喜好、是否敏感人群等角度构建用户空间画像，从而更好的描述用户的热舒适喜好。其中，构建画像数据的来源为：During the implementation, by dynamically sensing the changes and needs of environmental factors, climate factors, human body sensation and physical health factors in the user's space scene, from the user's population, regional climate, temperature preferences, humidity preferences, wind speed preferences, sensitive groups, etc. The user space portrait is constructed from an angle to better describe the user's thermal comfort preferences. Among them, the sources of constructing portrait data are:
(1)接收用户通过APP等交互界面设置的画像，包含人群、职业、地域气候等；(1) Receive portraits set by users through APP and other interactive interfaces, including crowds, occupations, regional climates, etc.;
(2)根据一段时间(例如15天)内用户的历史操作数据，结合不同地域的热中性温度，绘制温度、湿度、风速标签；具体规则如下：统计温度、湿度、风速设定的平均值，然后参考气候区热中性温度、舒适温度区间表进行打标签，如果当前用户设置的温度＜热中性温度-X，则用户的热舒适度的喜好为喜凉，如果温度＞热中性温度+X，则喜热，否则为热中性，同样的，可以确定用户对湿度和风速的热舒适度喜好；其中X为大于零的数。(2) According to the user's historical operation data within a period of time (such as 15 days), combined with the thermal neutral temperature in different regions, draw the temperature, humidity, and wind speed labels; the specific rules are as follows: Statistical average of temperature, humidity, and wind speed settings , and then refer to the thermal neutral temperature and comfort temperature interval table for the climate zone for labeling. If the temperature set by the current user < thermal neutral temperature - X, the user's thermal comfort preference is liking cool, if the temperature > thermal neutral If the temperature is +X, it is hot, otherwise, it is thermal neutral. Similarly, the user's thermal comfort preference for humidity and wind speed can be determined; where X is a number greater than zero.
如图2、图3、图4所示，本实施例提供一种交互界面，能够接收用户对温度或风速等热舒适参数的喜好或需求。As shown in FIG. 2 , FIG. 3 , and FIG. 4 , this embodiment provides an interactive interface that can receive the user's preference or demand for thermal comfort parameters such as temperature or wind speed.
步骤101、从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；Step 101: From a preset thermal comfort set, filter out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data, wherein the thermal comfort set includes all thermal comfort levels, and Multiple thermal comfort parameter subsets corresponding to each thermal comfort level, each thermal comfort parameter subset is used to represent the attribute information of the same sample user and the thermal comfort information of the environment to which they belong;
本实施例可以直接根据用户当前所在地域环境和热舒适喜好数据，从预先设置的热舒适集合中筛选出匹配的热舒适参数子集，为不同的用户提供不同的热舒适参数子集。由于本实施例中的热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，而每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息，那儿在筛选时，可以基于同一样本用户的属性信息和所属环境的热舒适信息，筛选出与所述用户对应的地域环境和热舒适喜好数据匹配的样本用户的热舒适信息，从而为不同的用户确定个性化的热舒适信息。In this embodiment, matching thermal comfort parameter subsets can be selected from a preset thermal comfort set directly according to the user's current local environment and thermal comfort preference data, so as to provide different thermal comfort parameter subsets for different users. Because the thermal comfort set in this embodiment includes all thermal comfort levels, and multiple thermal comfort parameter subsets corresponding to each thermal comfort level, and each thermal comfort parameter subset is used to represent the attribute information of the same sample user and the thermal comfort information of the environment to which the user belongs, where during screening, the thermal comfort of the sample user that matches the user's corresponding regional environment and thermal comfort preference data can be screened based on the attribute information of the same sample user and the thermal comfort information of the environment to which the user belongs. Comfort information to determine personalized thermal comfort information for different users.
步骤102、将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。Step 102: Recommend the thermal comfort parameters included in the selected thermal comfort parameter subset to the user, and respond to the setting instruction sent by the user based on the recommended thermal comfort parameters, according to the thermal comfort parameters corresponding to the setting instruction. Regulate smart air devices.
如图5所示，本实施例提供一种用户显示界面，通过所述用户显示界面将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户。As shown in FIG. 5 , this embodiment provides a user display interface, and the thermal comfort parameters included in the filtered thermal comfort parameter subset are recommended to the user through the user display interface.
可选的，将筛选出的所述热舒适参数子集包含的用于表征室内环境信息的热舒适参数推荐给所述用户，例如温度、湿度、风速等；响应用户发送的设置指令，根据所述温度、湿度、风速控制智能空气设备运行。Optionally, recommend to the user thermal comfort parameters, such as temperature, humidity, wind speed, etc., included in the selected subset of thermal comfort parameters and used to represent indoor environment information; in response to a setting instruction sent by the user, according to the The above temperature, humidity and wind speed control the operation of intelligent air equipment.
实施中，还可以将筛选出的所述热舒适参数子集对应的热舒适等级推荐给所述用户，响应所述用户基于推荐的热舒适等级发送的设置指令，根据所述热舒适参数子集包含的热舒适参数调节智能空气设备。In implementation, the thermal comfort level corresponding to the selected thermal comfort parameter subset may also be recommended to the user, and in response to a setting instruction sent by the user based on the recommended thermal comfort level, according to the thermal comfort parameter subset The included thermal comfort parameters regulate the smart air device.
还可以将筛选出的所述热舒适参数子集包含的热舒适参数和所述热舒适参数子集对应的热舒适等级推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备；或，响应所述用户基于推荐的热舒适等级发送的设置指令，根据所述热舒适参数子集包含的热舒适参数调节智能空气设备。The thermal comfort parameters included in the filtered thermal comfort parameter subset and the thermal comfort level corresponding to the thermal comfort parameter subset may also be recommended to the user, in response to the settings sent by the user based on the recommended thermal comfort parameters instruction, adjust the intelligent air device according to the thermal comfort parameter corresponding to the setting instruction; or, in response to the setting instruction sent by the user based on the recommended thermal comfort level, adjust the intelligent air according to the thermal comfort parameter included in the thermal comfort parameter subset equipment.
作为一种可选的实施方式，本实施例还可以根据接收的用户对热舒适等级的设置指令，为用户提供个性化的调控需求，具体如下所示：As an optional implementation manner, this embodiment can also provide the user with personalized regulation requirements according to the received user's setting instruction on the thermal comfort level, as shown below:
若收到所述用户的热舒适等级设置指令，则从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；If a thermal comfort level setting instruction from the user is received, a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction are selected from a preset thermal comfort set;
从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集。From the plurality of thermal comfort parameter subsets, a thermal comfort parameter subset matching the regional environment and the thermal comfort preference data is selected.
作为一种可选的实施方式，本发明实施例还可以提供一种基于用户历史热舒适数据为用户提供个性化的调控需求，具体实施步骤如下所示：As an optional implementation manner, the embodiment of the present invention can also provide a personalized regulation requirement for the user based on the user's historical thermal comfort data. The specific implementation steps are as follows:
步骤1)从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集之前，获取所述用户的历史热舒适数据；Step 1) Before filtering out a subset of thermal comfort parameters matching the regional environment and the thermal comfort preference data from a preset thermal comfort set, obtain the user's historical thermal comfort data;
例如，可以每隔ts秒获取一次热舒适数据并进行存储作为之后的历史热舒适数据，获取的热舒适数据包括但不限于时间、室内温度、室内湿度、空调状态、空调模式、空调设定温度、空调设定风速。For example, thermal comfort data can be acquired every ts seconds and stored as subsequent historical thermal comfort data. The acquired thermal comfort data include but are not limited to time, indoor temperature, indoor humidity, air conditioning status, air conditioning mode, and air conditioning set temperature. , Set the air speed of the air conditioner.
步骤2)根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；Step 2) According to the current regional environment of the user, from the historical thermal comfort data, select historical thermal comfort data that matches the regional environment;
实施中，可以从所述历史热舒适数据中筛选出相同地域、相同季节、相同或相似室外天气对应的历史热舒适数据。In implementation, historical thermal comfort data corresponding to the same region, the same season, and the same or similar outdoor weather may be filtered from the historical thermal comfort data.
步骤3)若筛选出的所述历史热舒适数据对应的存储日期的累计天数小于阈值，则执行从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集的步骤。Step 3) If the accumulated days of the storage date corresponding to the selected historical thermal comfort data are less than the threshold value, perform screening of the thermal comfort that matches the regional environment and the thermal comfort preference data from the preset thermal comfort collection. Steps for a subset of comfort parameters.
步骤4)若所述历史热舒适数据对应的存储日期不小于阈值，将所述匹配的历史热舒适数据中的每个热舒适参数求均值；Step 4) If the storage date corresponding to the historical thermal comfort data is not less than the threshold, average each thermal comfort parameter in the matched historical thermal comfort data;
步骤5)将所述求均值后的热舒适参数推荐给所述用户；Step 5) recommending the averaged thermal comfort parameters to the user;
步骤6)响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。Step 6) In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, adjust the intelligent air device according to the thermal comfort parameter corresponding to the setting instruction.
由于人体热舒适度受地域、季节、室内温度、室内湿度、室内空气流速、穿衣指数、代谢率、室外温度等因素影响，所以7级热舒适度属于相对比较粗糙的控制方式。通过对ASHRAE RP-884公开热舒适数据集的分析，现有标准中采用的预测热感觉平均投票PMV评价方法，其计算的人体热感觉值与受试者真实热感觉值相比只有30％多的准确率。因此，基于现有的7级热舒适度调控粒度，准确度较低，无法提高室内空气环境的控制效果，无法达到更高的用户满意度。Since human thermal comfort is affected by factors such as region, season, indoor temperature, indoor humidity, indoor air flow rate, clothing index, metabolic rate, and outdoor temperature, the 7-level thermal comfort is a relatively rough control method. Through the analysis of the ASHRAE RP-884 public thermal comfort data set, the predicted thermal sensation average vote PMV evaluation method adopted in the existing standard, the calculated human thermal sensation value is only 30% more than the real thermal sensation value of the subjects 's accuracy. Therefore, based on the existing 7-level thermal comfort regulation granularity, the accuracy is low, the control effect of the indoor air environment cannot be improved, and higher user satisfaction cannot be achieved.
本实施例提供一种更加精细的热舒适等级调控方案，本实施例中预先设置的热舒适集合包含了更小的热舒适度调控粒度，由于本实施例中的热舒适集合是将所有样本用户的热舒适参数子集输入随机森林模型得到的，而输入的样本用户的热舒适参数子集是利用聚类方法对用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的，即样本热舒适参数集合拆分后得到预设数量的热舒适参数子集，由于每个样本热舒适参数集合对应一个热舒适级别，则拆分后得到的每个热舒适参数子集对应一个热舒适等级，即每个热舒适级别也被拆分成预设数量的热舒适等级；本实施例可以将目前的5级热舒适度拆分成细粒度更小的热舒适等级。This embodiment provides a more refined thermal comfort level regulation solution. The preset thermal comfort set in this embodiment includes a smaller thermal comfort regulation granularity, because the thermal comfort set in this The thermal comfort parameter subset is obtained by inputting the random forest model, and the thermal comfort parameter subset of the input sample user is obtained by using the clustering method to split the thermal comfort parameter set corresponding to the thermal comfort level subjectively evaluated by the user, that is, After the sample thermal comfort parameter set is split, a preset number of thermal comfort parameter subsets are obtained. Since each sample thermal comfort parameter set corresponds to a thermal comfort level, each thermal comfort parameter subset obtained after splitting corresponds to a thermal comfort parameter. level, that is, each thermal comfort level is also divided into a preset number of thermal comfort levels; in this embodiment, the current 5-level thermal comfort level can be divided into finer-grained thermal comfort levels.
作为一种可选的实施方式，通过如下方式确定所述热舒适集合：As an optional implementation manner, the thermal comfort set is determined in the following manner:
1)将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级；其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；1) Input the thermal comfort parameter subsets of all sample users into a random forest model to obtain thermal comfort levels corresponding to the thermal comfort parameter subsets; wherein the thermal comfort parameter subsets are based on clustering Obtained by splitting the thermal comfort parameter set corresponding to the evaluated thermal comfort level;
实施中，用户主观评价的热舒适级别包括：暖、稍暖、适中、稍凉、凉5个等级，每个热舒适级别对应的热舒适参数集合包含地域、季节、室内温度、室内湿度、空调设备状态、空调设备模式、空调设备设定温度、空调设定风速、室外温度、室外湿度、人员穿衣指数、人员活动水平等，首先对样本用户主观评价的热舒适级别对应的热舒适参数集合进行符号化处理如下：In the implementation, the thermal comfort level subjectively evaluated by users includes five levels: warm, slightly warm, moderate, slightly cool, and cool. The thermal comfort parameter set corresponding to each thermal comfort level includes region, season, indoor temperature, indoor humidity, and air conditioning. Equipment status, air conditioning equipment mode, air conditioning equipment set temperature, air conditioning set wind speed, outdoor temperature, outdoor humidity, personnel clothing index, personnel activity level, etc., first of all, the thermal comfort parameter set corresponding to the thermal comfort level subjectively evaluated by the sample users The symbolic processing is as follows:
X＝[x(1)，x(2)，…，x(m)]表示所有样本用户的热舒适参数集合，其中m表示热舒适参数集合的数量，x(i)表示第i个热舒适参数集合；X=[x(1) , x(2), . parameter set;
所有样本用户的样本集D＝[(x(1)，y(1))，(x(2)，y(2))，…，(x(m)，y(m))]，其中，(x(i)，y(i))表示第1～m个样本中的第i个样本。A sample set of all sample users D = [(x(1) , y(1) ), (x(2) , y(2) ), ..., (x(m) , y(m) )], where, (x(i) , y(i) ) represents the i-th sample among the 1st to m-th samples.
实施中，可以先对所有样本用户的样本集中的数据进行预处理，具体包含以下内容：During implementation, the data in the sample set of all sample users can be preprocessed first, which specifically includes the following:
(1)缺失值处理：针对热舒适参数集合中出现的缺失的热舒适参数，则将热舒适参数集合中的中位数作为缺失的热舒适参数进行填充；(1) Missing value processing: For the missing thermal comfort parameters in the thermal comfort parameter set, the median in the thermal comfort parameter set is filled as the missing thermal comfort parameter;
(2)热舒适参数编码：由于空调设备状态、空调运行模式、风速设定值、人员活动水平等特征为枚举类型的热舒适参数，所以对其进行标签编码，例如人员活动水平有静坐、站立、读书、轻度运动、散步、跑步等取值，则执行标签编码后，人员活动水平取值为1-N；(2) Coding of thermal comfort parameters: Since the characteristics of air-conditioning equipment, air-conditioning operation mode, wind speed setting value, and personnel activity level are enumerated thermal comfort parameters, they are labeled and coded. For example, the personnel activity level includes sitting, The values of standing, reading, light exercise, walking, running, etc., after label coding is performed, the activity level of personnel is 1-N;
(3)热舒适参数标准化：针对每一个热舒适参数，采用离差min-max进行标准化，公式为
标准化后可以将热舒适参数映射在[0，1]区间内，标准化后的序列y1、y2、...、yn在[0，1]区间内且无量纲；After standardization, the thermal comfort parameters can be mapped in the interval [0, 1], and the standardized sequences y1 , y2 , ..., yn are in the interval [0, 1] and are dimensionless;
(4)训练集和测试集划分：将样本集D进行随机拆分，80％为训练，20％为测试集。其中训练集用来训练随机森林模型，测试集用来验证模型的效果。(4) Division of training set and test set: The sample set D is randomly divided into 80% for training and 20% for test set. The training set is used to train the random forest model, and the test set is used to verify the effect of the model.
实施中，每个热舒适级别Gi(1≤i≤5)对应的热舒适参数集合Si包括但不限于：地域、季节、室内温度、湿度、空气流速、人员活动水平、人员穿衣指数、室外温度、室外湿度；In implementation, the thermal comfort parameter set Si corresponding to each thermal comfort level Gi (1≤i≤5) includes but is not limited to: region, season, indoor temperature, humidity, air velocity, personnel activity level, personnel clothing index, outdoor temperature, outdoor humidity;
具体的，可以利用聚类方法将每个热舒适级别Gi对应的热舒适参数集合Si拆分成为3个热舒适等级(Gil，Gi2，Gi3)，即将每个热舒适级别Gi对应的热舒适参数集合聚类为3个热舒适参数子集，每个热舒适参数集合包含的热舒适参数子集为Si1、Si2、Si3，其中Si1＝[(x(1)，y(1))，(x(2)，y(2))，…，(x(si)，y(si))]，x(1)，x(2)，...x(si)表示用户的属性信息或所属环境的热舒适信息。y(1)，y(2)，y(si))表示热舒适等级，即Si1中的y(1)，y(2)，y(si))用于表示同样的热舒适等级。Specifically, a clustering method can be used to split the thermal comfort parameter set Si corresponding to each thermal comfort level Gi into three thermal comfort levels (Gil, Gi2, Gi3), that is, the thermal comfort parameters corresponding to each thermal comfort level Gi The set is clustered into 3 thermal comfort parameter subsets, and the thermal comfort parameter subsets contained in each thermal comfort parameter set are Si1, Si2, Si3, where Si1=[(x(1) , y(1) ), (x(2) , y(2) ), ..., (x(si) , y(si) )], x(1) , x(2) , ...x(si) represent the user's attribute information or the environment to which they belong information on thermal comfort. y(1) , y(2) , y(si) ) represent thermal comfort levels, that is, y(1) , y(2) , y(si) ) in Si1 are used to represent the same thermal comfort levels.
计算每个热舒适参数子集中室内温度的平均值，然后按照升序排序，例如排序后为T(Si1)＜T(Si2)＜T(Si3)，则热舒适等级Gi1、Gi2、Gi3对应的子集合分别为Si1、Si2、Si3。按照上述方法，目前的5级热舒适级别与15级热舒适等级的对应关系如下，凉(1、2、3)、稍凉(4、5、6)、舒适(7、8、9)、稍暖(10、11、12)、暖(13、14、15)。Calculate the average value of the indoor temperature in each subset of thermal comfort parameters, and then sort them in ascending order. The sets are Si1, Si2, Si3, respectively. According to the above method, the current 5-level thermal comfort level corresponds to the 15-level thermal comfort level as follows: cool (1, 2, 3), slightly cooler (4, 5, 6), comfortable (7, 8, 9), Slightly warmer (10, 11, 12), warmer (13, 14, 15).
其中，聚类方法是将热舒适参数子集作为一个整体，计算各个热舒适参数子集之间的相似度。Among them, the clustering method is to take the thermal comfort parameter subset as a whole and calculate the similarity between each thermal comfort parameter subset.
2)将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。2) Determine all the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level as the thermal comfort set.
本实施例中的随机森林模型是利用上述样本集D，即样本用户的热舒适参数子集以及样本用户的热舒适参数子集对应的热舒适等级进行训练得到。具体的训练过程如下所示：输入热舒适参数子集为S＝[Si1，Si2，Si3]，其中1≤i≤5，随机森林子树的数量为T，对于每棵子树t∈(1，2，..，T)。The random forest model in this embodiment is obtained by training the above-mentioned sample set D, that is, the thermal comfort parameter subset of the sample users and the thermal comfort level corresponding to the thermal comfort parameter subset of the sample users. The specific training process is as follows: the input thermal comfort parameter subset is S=[Si1, Si2, Si3], where 1≤i≤5, the number of random forest subtrees is T, for each subtree t∈(1, 2, .., T).
(1)随机有放回的从D中抽取d个训练样本，作为t的训练集Dt；(1) Randomly extract d training samples from D with replacement as the training set Dt of t;
(2)从Dt中随机选择k个热舒适参数子集，训练第t个子树，每个热舒适参数子集作为一个特征子集；(2) randomly select k thermal comfort parameter subsets from Dt, train the t-th subtree, and each thermal comfort parameter subset is used as a feature subset;
其中，训练第t个子树的过程如下：从树的根节点出发，对k个特征子集，利用CART(Classification and Regression Tree)算法，计算每个特征子集的基尼系数，选择基尼系数评分最小的特征作为根节点，按照该特征子集的取值规则进行分裂，然后针对每个分裂的子节点，采用同样的方式生成新的子节点，直到基尼系数评分小于阈值或超过设定的树深d为止。Among them, the process of training the t-th subtree is as follows: starting from the root node of the tree, using the CART (Classification and Regression Tree) algorithm for k feature subsets, calculate the Gini coefficient of each feature subset, and select the smallest Gini coefficient score. The feature of is the root node, and it is split according to the value rule of the feature subset, and then for each split sub-node, a new sub-node is generated in the same way until the Gini coefficient score is less than the threshold or exceeds the set tree depth. d so far.
(3)每棵树t生长至指定深度d。(3) Each tree t grows to a specified depth d.
对于每个训练样本，利用投票法从T棵树中选出最多票数的热舒适等级即为最终的输出的热舒适等级。For each training sample, the thermal comfort level with the most votes is selected from the T trees by the voting method, which is the final output thermal comfort level.
针对训练的随机森林模型，利用机器学习中的F1分数进行评价，F1为precision(查准率)和recall(查全率)的调和平均数；For the trained random forest model, the F1 score in machine learning is used for evaluation, and F1 is the harmonic mean of precision (precision) and recall (recall).
其中，
随机森林模型训练完成后，还可以不断迭代升级，当有新的训练样本加入后，重新训练生成新的随机森林模型，如果新训练得到的随机森林模型的F1分数大于原有的随机森林模型的F1分数，则用新的随机森林模型替换原有的随机森林模型，将所有样本用户的热舒适参数子集输入新的随机森林模型得到与所述热舒适参数子集对应的热舒适等级，将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。After the training of the random forest model is completed, it can be continuously upgraded. When new training samples are added, a new random forest model will be retrained. If the F1 score of the newly trained random forest model is greater than that of the original random forest model F1 score, replace the original random forest model with the new random forest model, input the thermal comfort parameter subset of all sample users into the new random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, and set the All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
根据上述得到的随机森林模型，在一定范围内遍历选择代谢水平、穿衣指数、室内温度、室内湿度、室内风速、室外温度、室外湿度作为热舒适参数子集输入，利用随机森林模型计算得到热舒适等级(共15个等级)，然后将这些组合预置存储，供热舒适参数推荐时使用。具体的，代谢水平范围可以是[0.8-斜依,1.0-静坐,1.2-写字,1.6-轻体力活动,2.0-家务劳动]，穿衣指数范围可以是[0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2]，室内温度范围可以是16℃至32℃(间隔1℃)，室内湿度范围可以是20至70(间隔10)，室内风速范围可以是0至0.5(间隔0.1)，室外温度范围可以是0至36℃，室外湿度范围可以是10至100，季节范围可以是春夏秋冬。根据一定范围内的特征输入，计算得到所有等级，将每个等级对应的特征参数存储。例如存储为[特征1，特征2，特征3，...，舒适度]。其中特征用于表征热舒适参数子集包含的同一样本用户的属性信息和所属环境的热舒适信息。According to the random forest model obtained above, the metabolic level, clothing index, indoor temperature, indoor humidity, indoor wind speed, outdoor temperature, and outdoor humidity are selected as the input of a subset of thermal comfort parameters within a certain range, and the thermal comfort parameters are calculated using the random forest model. Comfort level (15 levels in total), and then these combinations are preset and stored for use when the thermal comfort parameters are recommended. Specifically, the range of the metabolic level can be [0.8-reliance, 1.0-sitting, 1.2-writing, 1.6-light physical activity, 2.0-housework], and the range of the clothing index can be [0.4, 0.5, 0.6, 0.7, 0.8 ,0.9,1.0,1.1,1.2], the indoor temperature range can be from 16°C to 32°C (
本实施例可以基于采集的用户当前所在地域环境和热舒适喜好数据，例如温度、湿度、风速、PM2.5、甲醛、CO2等参数，通过云端提供的热舒适参数计算方法，从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户。还可以在收到所述用户的热舒适等级设置指令之后，由云端提供的算法，从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集；将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户。例如：为用户推荐最优的温度、湿度、风速参数，结合多维度控制策略，即可控制空调、新风机、净化器等空气设备组合的运行模式和运行状态，为用户提供舒适健康的空间环境。In this embodiment, based on the collected data of the user's current regional environment and thermal comfort preferences, such as parameters such as temperature, humidity, wind speed, PM2. In the comfort set, a thermal comfort parameter subset that matches the regional environment and the thermal comfort preference data is filtered, and the thermal comfort parameters included in the filtered thermal comfort parameter subset are recommended to the user. After receiving the user's thermal comfort level setting instruction, an algorithm provided by the cloud can filter out a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction from a preset thermal comfort set; A thermal comfort parameter subset that matches the regional environment and the thermal comfort preference data is selected from the plurality of thermal comfort parameter subsets; the thermal comfort parameters included in the filtered thermal comfort parameter subset are recommended to the user. For example, recommend the optimal temperature, humidity, and wind speed parameters for users, and combine with multi-dimensional control strategies to control the operation mode and operation status of the combination of air conditioners, fresh fans, purifiers, etc., to provide users with a comfortable and healthy space environment. .
如图6所示，本发明实施例还提供一种全面的热舒适度调节方法，该方法的具体实施流程如下所示：As shown in FIG. 6 , an embodiment of the present invention also provides a comprehensive thermal comfort adjustment method. The specific implementation process of the method is as follows:
步骤600、确定用户当前所在地域环境和热舒适喜好数据；Step 600: Determine the user's current regional environment and thermal comfort preference data;
其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；Wherein, the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort of the indoor environment;
步骤601、获取所述用户的历史热舒适数据；
步骤602、根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；Step 602: According to the current regional environment of the user, filter out the historical thermal comfort data matching the regional environment from the historical thermal comfort data;
步骤603、判断筛选出的所述历史热舒适数据对应的存储日期的累计天数是否小于阈值，若是执行步骤604，否则执行步骤605；Step 603: Determine whether the accumulated number of days of the storage date corresponding to the selected historical thermal comfort data is less than a threshold value, if so, go to step 604, otherwise go to step 605;
步骤604、判断是否收到所述用户的热舒适等级设置指令，若是执行步骤606，否则执行步骤608；
步骤606、从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；Step 606: Screen out a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction from a preset thermal comfort set;
通过如下方式确定所述热舒适集合：The thermal comfort set is determined by:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
步骤607、从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，执行步骤609；Step 607: Screen out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from the plurality of thermal comfort parameter subsets, and execute
步骤608、从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集；Step 608: From a preset thermal comfort set, filter out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data;
通过如下方式确定所述热舒适集合：The thermal comfort set is determined by:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
步骤609、将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户；Step 609: Recommend the thermal comfort parameters included in the filtered thermal comfort parameter subset to the user;
步骤610、响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。Step 610: In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, adjust the intelligent air device according to the thermal comfort parameter corresponding to the setting instruction.
步骤605、将所述匹配的历史热舒适数据中的每个热舒适参数求均值，执行步骤611；Step 605: Average each thermal comfort parameter in the matched historical thermal comfort data, and perform
步骤611、将所述求均值后的热舒适参数推荐给所述用户；Step 611: Recommend the averaged thermal comfort parameter to the user;
步骤612、响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。Step 612: In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, adjust the intelligent air device according to the thermal comfort parameter corresponding to the setting instruction.
实施例2、基于相同的发明构思，本发明实施例还提供了一种热舒适度调节设备，由于该设备即是本发明实施例中的方法中的设备，并且该设备解决问题的原理与该方法相似，因此该设备的实施可以参见方法的实施，重复之处不再赘述。
如图7所示，该设备包括处理器700和存储器701，所述存储器用于存储所述处理器可执行的程序，所述处理器用于读取所述存储器中的程序并执行如下步骤：As shown in FIG. 7 , the device includes a
确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；determining the user's current local environment and thermal comfort preference data, wherein the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort in the indoor environment;
从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；From a preset thermal comfort set, a subset of thermal comfort parameters matching the regional environment and the thermal comfort preference data is screened, wherein the thermal comfort set includes all thermal comfort levels, and a subset of thermal comfort parameters corresponding to each thermal comfort level. Multiple thermal comfort parameter subsets corresponding to the level, each thermal comfort parameter subset is used to represent the attribute information of the same sample user and the thermal comfort information of the environment to which they belong;
将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。recommending the thermal comfort parameters included in the selected thermal comfort parameter subset to the user, and adjusting the smart air according to the thermal comfort parameters corresponding to the setting instruction in response to a setting instruction sent by the user based on the recommended thermal comfort parameter equipment.
作为一种可选的实施方式，所述处理器具体被配置为执行：As an optional implementation manner, the processor is specifically configured to execute:
若收到所述用户的热舒适等级设置指令，则从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；If a thermal comfort level setting instruction from the user is received, a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction are selected from a preset thermal comfort set;
从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集。From the plurality of thermal comfort parameter subsets, a thermal comfort parameter subset matching the regional environment and the thermal comfort preference data is selected.
作为一种可选的实施方式，所述从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集之前，所述处理器具体还被配置为执行：As an optional implementation manner, before filtering out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from a preset thermal comfort set, the processor is further configured to To execute:
获取所述用户的历史热舒适数据；obtaining historical thermal comfort data of the user;
根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；According to the current regional environment of the user, filtering out the historical thermal comfort data matching the regional environment from the historical thermal comfort data;
若筛选出的所述历史热舒适数据对应的存储日期的累计天数小于阈值，则执行从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集的步骤。If the accumulated number of days of the storage date corresponding to the filtered historical thermal comfort data is less than the threshold value, execute the filtering of the thermal comfort parameter sub-parameters that match the regional environment and the thermal comfort preference data from the preset thermal comfort set. set of steps.
作为一种可选的实施方式，若所述历史热舒适数据对应的存储日期不小于阈值，所述处理器具体还被配置为执行：As an optional implementation manner, if the storage date corresponding to the historical thermal comfort data is not less than a threshold, the processor is specifically further configured to execute:
将所述匹配的历史热舒适数据中的每个热舒适参数求均值；averaging each thermal comfort parameter in the matched historical thermal comfort data;
将所述求均值后的热舒适参数推荐给所述用户；recommending the averaged thermal comfort parameter to the user;
响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, the intelligent air device is adjusted according to the thermal comfort parameter corresponding to the setting instruction.
作为一种可选的实施方式，所述处理器具体被配置为通过如下方式确定所述热舒适集合：As an optional implementation manner, the processor is specifically configured to determine the thermal comfort set in the following manner:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
实施例3、基于相同的发明构思，本发明实施例还提供了一种热舒适度调节装置，由于该装置即是本发明实施例中的方法中的装置，并且该装置解决问题的原理与该方法相似，因此该装置的实施可以参见方法的实施，重复之处不再赘述。Embodiment 3. Based on the same inventive concept, the embodiment of the present invention also provides a thermal comfort adjustment device, because the device is the device in the method in the embodiment of the present invention, and the principle of solving the problem of the device is the same as that of the device. The methods are similar, so the implementation of the device can refer to the implementation of the method, and the repetition will not be repeated.
如图8所示，该装置包括：As shown in Figure 8, the device includes:
确定用户数据单元800，用于确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；Determining
筛选单元801，用于从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；A
推荐调节单元802，用于将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。The
作为一种可选的实施方式，所述筛选单元具体用于：As an optional embodiment, the screening unit is specifically used for:
若收到所述用户的热舒适等级设置指令，则从预先设置的热舒适集合中筛选出与所述热舒适等级设置指令对应的多个热舒适参数子集；If a thermal comfort level setting instruction from the user is received, a plurality of thermal comfort parameter subsets corresponding to the thermal comfort level setting instruction are selected from a preset thermal comfort set;
从所述多个热舒适参数子集中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集。From the plurality of thermal comfort parameter subsets, a thermal comfort parameter subset matching the regional environment and the thermal comfort preference data is selected.
作为一种可选的实施方式，所述从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集之前，所述筛选单元具体还用于：As an optional implementation manner, before filtering out a subset of thermal comfort parameters that match the regional environment and the thermal comfort preference data from a preset thermal comfort set, the screening unit is specifically further configured to: :
获取所述用户的历史热舒适数据；obtaining historical thermal comfort data of the user;
根据所述用户当前所在地域环境，从所述历史热舒适数据中筛选出与所述地域环境匹配的历史热舒适数据；According to the current regional environment of the user, filtering out the historical thermal comfort data matching the regional environment from the historical thermal comfort data;
若筛选出的所述历史热舒适数据对应的存储日期的累计天数小于阈值，则执行从预先设置的热舒适集合中筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集的步骤。If the accumulated number of days of the storage date corresponding to the filtered historical thermal comfort data is less than the threshold value, execute the filtering of the thermal comfort parameter sub-parameters that match the regional environment and the thermal comfort preference data from the preset thermal comfort set. set of steps.
作为一种可选的实施方式，若所述历史热舒适数据对应的存储日期不小于阈值，所述筛选单元具体还用于：As an optional implementation manner, if the storage date corresponding to the historical thermal comfort data is not less than a threshold, the screening unit is further used for:
将所述匹配的历史热舒适数据中的每个热舒适参数求均值；averaging each thermal comfort parameter in the matched historical thermal comfort data;
将所述求均值后的热舒适参数推荐给所述用户；recommending the averaged thermal comfort parameter to the user;
响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。In response to a setting instruction sent by the user based on the recommended thermal comfort parameter, the intelligent air device is adjusted according to the thermal comfort parameter corresponding to the setting instruction.
作为一种可选的实施方式，所述筛选单元具体用于通过如下方式确定所述热舒适集合：As an optional implementation manner, the screening unit is specifically configured to determine the thermal comfort set in the following manner:
将所有样本用户的热舒适参数子集输入随机森林模型得到与所述热舒适参数子集对应的热舒适等级，其中所述热舒适参数子集是利用聚类方法将所述样本用户主观评价的热舒适级别对应的热舒适参数集合进行拆分得到的；Input the thermal comfort parameter subset of all sample users into the random forest model to obtain the thermal comfort level corresponding to the thermal comfort parameter subset, wherein the thermal comfort parameter subset is based on the subjective evaluation of the sample users by the clustering method. Obtained by splitting the thermal comfort parameter set corresponding to the thermal comfort level;
将得到的所有的热舒适等级以及与每个热舒适等级对应的样本用户的热舒适参数子集确定为所述热舒适集合。All the obtained thermal comfort levels and a subset of thermal comfort parameters of the sample user corresponding to each thermal comfort level are determined as the thermal comfort set.
一种计算机存储介质，其上存储有计算机程序，该程序被处理器执行时实现如下步骤：A computer storage medium on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:
确定用户当前所在地域环境和热舒适喜好数据，其中所述热舒适喜好数据用于表征所述用户对所在室内环境的热舒适的感受程度；determining the user's current local environment and thermal comfort preference data, wherein the thermal comfort preference data is used to represent the user's feeling degree of thermal comfort in the indoor environment;
从预先设置的热舒适集合中，筛选出与所述地域环境和所述热舒适喜好数据匹配的热舒适参数子集，其中所述热舒适集合包括所有的热舒适等级，以及与每个热舒适等级对应的多个热舒适参数子集，每个热舒适参数子集用于表征同一样本用户的属性信息和所属环境的热舒适信息；From a preset thermal comfort set, a subset of thermal comfort parameters matching the regional environment and the thermal comfort preference data is screened, wherein the thermal comfort set includes all thermal comfort levels, and a subset of thermal comfort parameters corresponding to each thermal comfort level. Multiple thermal comfort parameter subsets corresponding to the level, each thermal comfort parameter subset is used to represent the attribute information of the same sample user and the thermal comfort information of the environment to which they belong;
将筛选出的所述热舒适参数子集包含的热舒适参数推荐给所述用户，响应所述用户基于推荐的热舒适参数发送的设置指令，根据所述设置指令对应的热舒适参数调节智能空气设备。recommending the thermal comfort parameters included in the selected thermal comfort parameter subset to the user, and adjusting the smart air according to the thermal comfort parameters corresponding to the setting instruction in response to a setting instruction sent by the user based on the recommended thermal comfort parameter equipment.
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器和光学存储器等)上实施的计算机程序产品的形式。As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including but not limited to disk storage, optical storage, and the like.
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的设备。The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce A device that implements the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令设备的制造品，该指令设备实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory result in an article of manufacture comprising the instruction apparatus, the instructions The device implements the functions specified in the flow or flows of the flowcharts and/or the block or blocks of the block diagrams.
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.
显然，本领域的技术人员可以对本发明进行各种改动和变型而不脱离本发明的精神和范围。这样，倘若本发明的这些修改和变型属于本发明权利要求及其等同技术的范围之内，则本发明也意图包含这些改动和变型在内。It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
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