技术领域Technical Field
本发明涉及变电站技术领域，尤其涉及一种基于变电站的运维数字化管理方法、系统、电子设备及非暂态计算机可读存储介质。The present invention relates to the technical field of substations, and in particular to a substation-based operation and maintenance digital management method, system, electronic equipment and non-transient computer-readable storage medium.
背景技术Background Art
现如今，变电站运维过程中，主要依赖人工巡检、定期维护和故障处理。操作人员通常通过现场检查设备的运行状态，记录参数和异常情况，并根据预定的维护计划进行设备的保养和检修。此外，运维人员会依赖经验和直觉来判断设备的健康状况，并在设备发生故障时采取应急措施。这种方式在一定程度上保障了变电站的正常运行，特别是在设备发生明显故障时，能够及时进行处理，减少停电的风险。Nowadays, the operation and maintenance of substations mainly rely on manual inspections, regular maintenance and fault handling. Operators usually check the operating status of the equipment on site, record parameters and abnormal conditions, and perform equipment maintenance and repairs according to the predetermined maintenance plan. In addition, operation and maintenance personnel rely on experience and intuition to judge the health of the equipment and take emergency measures when the equipment fails. This method ensures the normal operation of the substation to a certain extent, especially when obvious equipment failures occur, timely processing can be carried out to reduce the risk of power outages.
然而，人工巡检和记录易受人为因素的影响，可能导致数据的遗漏或不准确。其次，定期维护的方式往往是基于时间周期，而非设备的实际运行状态，可能导致不必要的维护或无法及时发现潜在的故障。此外，经验和直觉的依赖性较强，无法提供精准的数据支持，使得故障诊断和预测的准确性受到限制。However, manual inspection and recording are susceptible to human factors, which may lead to missing or inaccurate data. Secondly, the regular maintenance method is often based on time cycles rather than the actual operating status of the equipment, which may lead to unnecessary maintenance or failure to detect potential faults in a timely manner. In addition, the reliance on experience and intuition is strong and cannot provide accurate data support, which limits the accuracy of fault diagnosis and prediction.
随着电网规模的扩大和复杂性的增加，传统的变电站运维方法已难以满足现代变电站对高效、安全、精准运维的需求，亟需一种基于数字化技术的管理方法来提高运维效率和管理水平。With the expansion of power grid scale and the increase of complexity, traditional substation operation and maintenance methods can no longer meet the needs of modern substations for efficient, safe and accurate operation and maintenance. There is an urgent need for a management method based on digital technology to improve operation and maintenance efficiency and management level.
发明内容Summary of the invention
本发明针对现有技术中存在的技术问题，提供一种能够提升变电站运维的准确性和效率的基于变电站的运维数字化管理方法、系统、电子设备及非暂态计算机可读存储介质。In view of the technical problems existing in the prior art, the present invention provides a substation-based digital management method, system, electronic device and non-transient computer-readable storage medium for operation and maintenance, which can improve the accuracy and efficiency of substation operation and maintenance.
本发明解决上述技术问题的技术方案如下：The technical solution of the present invention to solve the above technical problems is as follows:
本发明提供一种基于变电站的运维数字化管理方法，所述方法包括：The present invention provides a digital management method for operation and maintenance based on a substation, the method comprising:
通过传感器网络实时采集变电站的各设备的运行数据；Collect the operating data of each device in the substation in real time through the sensor network;
对原始的所述运行数据进行清洗和预处理，得到预处理后的数据；Cleaning and preprocessing the original operation data to obtain preprocessed data;
基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分；Based on the preprocessed data, the status of each device is evaluated through the device health evaluation model to obtain a health score of each device;
通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果；Analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain failure prediction results for each of the devices;
根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级；Generate an operation and maintenance plan and operation and maintenance priority for each of the devices based on the health score and fault prediction result of each of the devices;
当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。When the health score or failure probability of any device meets the preset conditions, an alarm is automatically triggered and corresponding maintenance suggestions and emergency measures are provided for the device that triggered the alarm.
可选的，所述基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分，包括：Optionally, based on the preprocessed data, the status of each of the devices is evaluated by a device health evaluation model to obtain a health score of each of the devices, including:
获取每个所述设备的当前功率、当前温度、振动强度和运行加速度；Obtaining the current power, current temperature, vibration intensity and operating acceleration of each of the devices;
获取每个所述设备的额定功率、正常工作温度、允许的最高温度、允许的最低温度、临界振动强度和运行加速度；Obtain the rated power, normal operating temperature, maximum allowable temperature, minimum allowable temperature, critical vibration intensity and operating acceleration of each of the equipment;
通过所述设备健康度评估模型，基于每个所述设备的额定功率、正常工作温度、允许的最高温度、允许的最低温度、临界振动强度和运行加速度，对所述设备的当前功率、当前温度、振动强度和运行加速度进行处理得到每类参数的处理结果，并结合第一权重、第二权重、第三权重和第四权重对所述处理结果进行加权求和，得到每个所述设备的健康度评分。Through the equipment health assessment model, based on the rated power, normal operating temperature, maximum allowable temperature, minimum allowable temperature, critical vibration intensity and operating acceleration of each device, the current power, current temperature, vibration intensity and operating acceleration of the device are processed to obtain the processing results of each type of parameters, and the processing results are weighted and summed in combination with the first weight, the second weight, the third weight and the fourth weight to obtain the health score of each device.
可选的，每个所述设备的健康度评分表示为：Optionally, the health score of each device is expressed as:
； ;
其中，是第i个设备的健康度评分，是第i个设备的当前功率，是设备的额定功率，是第i个设备的当前温度，是设备的正常工作温度，是设备允许的最高温度，是设备允许的最低温度，是设备的振动强度，是设备的临界振动强度，是设备的运行加速度，是设备运行的最大加速度，分别为健康度模型的第一权重、第二权重、第三权重和第四权重。in, is the health score of the ith device, is the current power of the ith device, is the rated power of the device, is the current temperature of the ith device, is the normal operating temperature of the device, is the maximum temperature allowed by the device, is the lowest temperature allowed by the device, is the vibration intensity of the equipment, is the critical vibration intensity of the equipment, is the running acceleration of the device, is the maximum acceleration at which the device operates, They are the first weight, second weight, third weight and fourth weight of the health model respectively.
可选的，通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果，包括：Optionally, the historical operation data of each of the devices is analyzed by time series analysis and machine learning models to predict potential device failures, and the failure prediction results of each of the devices are obtained, including:
获取所述设备的历史故障发生的时间点，以及每个所述时间点的权重；Obtaining the time points at which historical failures of the device occurred and the weight of each of the time points;
获取所述设备存在每个潜在故障模式的影响系数，以及每个所述潜在故障模式的线性表达式；Obtaining an influence coefficient of each potential failure mode of the device and a linear expression of each potential failure mode;
根据所述设备的历史故障发生的时间点、每个所述时间点的权重、每个所述潜在故障模式的影响系数以及每个所述潜在故障模式的线性表达式，确定所述设备的故障检测结果。The fault detection result of the device is determined according to the time points at which the historical faults of the device occurred, the weight of each of the time points, the influence coefficient of each of the potential fault modes, and the linear expression of each of the potential fault modes.
可选的，所述设备的故障概率表示为：Optionally, the failure probability of the device is expressed as:
; ;
其中，是设备在当前时刻t的故障概率，是历史故障发生的第j个时间点，是第j个时间点的权重，是第j个时间点的宽度参数，M是历史数据中的故障事件数量，第k个潜在故障模式的影响系数，是第k个潜在故障模式的线性表达式，Y是潜在故障模式的数量。in, is the failure probability of the device at the current time t, is the jth time point when the historical failure occurred, is the weight at the jth time point, is the width parameter at the jth time point, M is the number of fault events in the historical data, The influence coefficient of the kth potential failure mode, is the linear expression of the kth potential failure mode, and Y is the number of potential failure modes.
可选的，所述根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维优先级，包括：Optionally, generating an operation and maintenance priority of each device according to the health score and the fault prediction result of each device includes:
获取所述设备的故障概率，以及所述故障概率对应的时刻；Obtaining a failure probability of the device and a time corresponding to the failure probability;
根据所述概率对应的时刻和拉格朗日函数，处理得到所述拉格朗日函数的一阶导数和二阶导数；According to the time corresponding to the probability and the Lagrangian function, a first-order derivative and a second-order derivative of the Lagrangian function are obtained by processing;
根据所述设备的健康度评分、故障概率，以及所述拉格朗日函数的一阶导数和二阶导数，确定所述设备的运维优先级。The operation and maintenance priority of the device is determined according to the health score, the failure probability, and the first-order derivative and the second-order derivative of the Lagrangian function of the device.
可选的，每个所述设备的运维优先级表示为：Optionally, the operation and maintenance priority of each of the devices is expressed as:
; ;
其中，是第i个设备的运维优先级，是第i个设备的健康度评分，是设备在当前时刻t的故障概率，分别为第一影响系数、第二影响系数和第三影响系数，L是拉格朗日函数。in, is the maintenance priority of the ith device, is the health score of the ith device, is the failure probability of the device at the current time t, are the first influence coefficient, the second influence coefficient and the third influence coefficient respectively, and L is the Lagrangian function.
可选的，所述当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施，包括：Optionally, when the health score or failure probability of any device meets a preset condition, an alarm is automatically triggered and corresponding maintenance suggestions and emergency measures are provided for the device that triggered the alarm, including:
获取健康度评分阈值和故障概率阈值；Get the health score threshold and failure probability threshold;
当任一设备的健康度评分小于所述健康度评分阈值，或故障概率大于故障概率阈值，则所述设备满足预设条件，触发针对所述设备的报警操作，并为所述设备提供对应的维护建议和应急措施。When the health score of any device is less than the health score threshold, or the failure probability is greater than the failure probability threshold, the device meets the preset conditions, triggers an alarm operation for the device, and provides corresponding maintenance suggestions and emergency measures for the device.
可选的，所述方法还包括：Optionally, the method further includes:
获取所述设备的运行状态的历史数据报表和维护记录；Obtaining historical data reports and maintenance records of the operating status of the equipment;
从所述设备的历史数据报表统计的多个时间周期，以及每个所述时间周期对应的历史健康度评分；Multiple time periods calculated from historical data reports of the device, and historical health scores corresponding to each of the time periods;
根据多个所述时间周期和每个所述时间周期的历史健康度评分，计算所述设备的历史健康度评分平均值；Calculate an average value of the historical health scores of the device according to the multiple time periods and the historical health scores of each time period;
对所述历史健康度评分平均值进行分析，为所述设备确定备用维护建议。The historical health score averages are analyzed to determine alternate maintenance recommendations for the equipment.
本发明还提供一种基于变电站的运维数字化管理系统，所述系统包括：The present invention also provides a substation-based operation and maintenance digital management system, the system comprising:
数据获取模块，用于通过传感器网络实时采集变电站的各设备的运行数据；The data acquisition module is used to collect the operation data of each device in the substation in real time through the sensor network;
数据处理模块，用于对原始的所述运行数据进行清洗和预处理，得到预处理后的数据；A data processing module, used for cleaning and preprocessing the original operation data to obtain preprocessed data;
设备评分模块，用于基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分；An equipment scoring module is used to evaluate the status of each of the equipment based on the preprocessed data through an equipment health evaluation model to obtain a health score of each of the equipment;
故障预测模块，用于通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果；A fault prediction module is used to analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain failure prediction results for each of the devices;
运维计划模块，用于根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级；An operation and maintenance plan module, used to generate an operation and maintenance plan and operation and maintenance priority for each of the devices according to the health score and fault prediction result of each of the devices;
运维执行模块，用于当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。The operation and maintenance execution module is used to automatically trigger an alarm when the health score or failure probability of any device meets the preset conditions and provide corresponding maintenance suggestions and emergency measures for the device that triggered the alarm.
此外，为实现上述目的，本发明还提出一种电子设备，包括：存储器，用于存储计算机软件程序；处理器，用于读取并执行所述计算机软件程序，进而实现如上文所述的一种基于变电站的运维数字化管理方法。In addition, to achieve the above objectives, the present invention also proposes an electronic device, comprising: a memory for storing computer software programs; a processor for reading and executing the computer software programs, thereby realizing a substation-based digital operation and maintenance management method as described above.
此外，为实现上述目的，本发明还提出一种非暂态计算机可读存储介质，所述存储介质中存储有计算机软件程序，所述计算机软件程序被处理器执行时实现如上文所述的一种基于变电站的运维数字化管理方法。In addition, to achieve the above-mentioned purpose, the present invention also proposes a non-transitory computer-readable storage medium, in which a computer software program is stored. When the computer software program is executed by a processor, it implements a substation-based digital operation and maintenance management method as described above.
本发明的有益效果是：The beneficial effects of the present invention are:
（1）本发明通过综合考虑设备的实时运行数据（如功率、温度、振动、加速度）以及历史故障数据，能够动态评估设备的健康状况和故障风险。基于此，生成的运维优先级能够精准地指导运维人员进行有针对性的设备维护，减少不必要的维护工作，提升运维效率；(1) The present invention can dynamically evaluate the health status and failure risk of equipment by comprehensively considering the real-time operation data (such as power, temperature, vibration, acceleration) and historical fault data of the equipment. Based on this, the generated operation and maintenance priority can accurately guide the operation and maintenance personnel to carry out targeted equipment maintenance, reduce unnecessary maintenance work, and improve operation and maintenance efficiency;
（2）本发明采用了复杂的数学模型（如高斯分布、逻辑回归、拉格朗日优化），能够更准确地预测设备的潜在故障，结合历史故障数据和潜在故障模式的分析，使得故障预测更加全面和可靠，有助于提前发现并处理隐患，避免突发性故障导致的停机或事故；(2) The present invention uses complex mathematical models (such as Gaussian distribution, logistic regression, and Lagrangian optimization) to more accurately predict potential equipment failures. Combined with historical failure data and analysis of potential failure modes, the failure prediction is more comprehensive and reliable, which helps to discover and deal with hidden dangers in advance and avoid downtime or accidents caused by sudden failures.
（3）本发明通过数字化管理和自动化分析，减少了人为因素的干扰，确保数据的客观性和判断的准确性，从而提高了运维决策的科学性。(3) The present invention reduces the interference of human factors through digital management and automated analysis, ensures the objectivity of data and the accuracy of judgment, and thus improves the scientific nature of operation and maintenance decisions.
（4）本发明通过引入拉格朗日函数及其导数，能够动态调整运维优先级，考虑到系统状态随时间的变化趋势和加速度，不仅适用于当前状态的评估，还能对未来的趋势做出预判，从而实现更加灵活和前瞻性的运维决策。(4) By introducing the Lagrangian function and its derivatives, the present invention can dynamically adjust the operation and maintenance priority, taking into account the changing trend and acceleration of the system status over time. It is not only suitable for the evaluation of the current status, but also can predict future trends, thereby achieving more flexible and forward-looking operation and maintenance decisions.
（5）本发明通过精准的运维优先级评估，能够合理分配运维资源，将有限的资源优先用于需要紧急维护的设备，避免资源浪费。同时，这种优化配置有助于延长设备的使用寿命，降低整体运维成本。(5) Through accurate operation and maintenance priority assessment, the present invention can reasonably allocate operation and maintenance resources, giving priority to using limited resources for equipment that requires emergency maintenance, thereby avoiding resource waste. At the same time, this optimized configuration helps to extend the service life of the equipment and reduce the overall operation and maintenance costs.
（6）本发明通过全面的监测、精准的评估和有效的预测，能够及时发现并处理设备故障，减少停机时间，确保变电站的稳定运行。同时，预防性的维护措施能够降低突发性故障发生的概率，提升系统的整体安全性。(6) Through comprehensive monitoring, accurate evaluation and effective prediction, the present invention can timely detect and handle equipment failures, reduce downtime, and ensure the stable operation of the substation. At the same time, preventive maintenance measures can reduce the probability of sudden failures and improve the overall safety of the system.
综上，本发明通过数字化和智能化的运维管理，显著提高了变电站的运维效率和安全性，降低了成本和风险，具有显著的实用价值和推广前景。In summary, the present invention significantly improves the operation and maintenance efficiency and safety of substations through digital and intelligent operation and maintenance management, reduces costs and risks, and has significant practical value and promotion prospects.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
图1为本发明提供的一种基于变电站的运维数字化管理方法的结构框图；FIG1 is a structural block diagram of a substation-based digital operation and maintenance management method provided by the present invention;
图2为本发明提供的一种基于变电站的运维数字化管理方法的流程图；FIG2 is a flow chart of a method for digital management of substation operation and maintenance provided by the present invention;
图3为本发明提供的一种基于变电站的运维数字化管理系统的结构示意图；FIG3 is a schematic diagram of the structure of a substation-based operation and maintenance digital management system provided by the present invention;
图4为本发明提供的一种可能的电子设备的硬件结构示意图；FIG4 is a schematic diagram of a possible hardware structure of an electronic device provided by the present invention;
图5为本发明提供的一种可能的计算机可读存储介质的硬件结构示意图。FIG5 is a schematic diagram of a possible hardware structure of a computer-readable storage medium provided by the present invention.
具体实施方式DETAILED DESCRIPTION
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，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，本领域技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 skilled in the art without creative work are within the scope of protection of the present invention.
在本发明的描述中，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括一个或者更多个所述特征。在本发明的描述中，“多个”的含义是两个或两个以上，除非另有明确具体的限定。In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.
在本发明的描述中，术语“例如”一词用来表示“用作例子、例证或说明”。本发明中被描述为“例如”的任何实施例不一定被解释为比其它实施例更优选或更具优势。为了使本领域任何技术人员能够实现和使用本发明，给出了以下描述。在以下描述中，为了解释的目的而列出了细节。应当明白的是，本领域普通技术人员可以认识到，在不使用这些特定细节的情况下也可以实现本发明。在其它实例中，不会对公知的结构和过程进行详细阐述，以避免不必要的细节使本发明的描述变得晦涩。因此，本发明并非旨在限于所示的实施例，而是与符合本发明所公开的原理和特征的最广范围相一致。In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.
请参阅图1，图1为本发明提供的一种基于变电站的运维数字化管理方法的结构框图。如图1所示，终端10与服务器20之间通过网络连接，比如，通过有线或无线网络连接等。其中，终端10可以包括但不局限于安装有各位网络平台应用的手机、平板等便携终端，以及电脑、查询机、广告机等固定终端。其中，服务器20为用户提供各种业务服务，包括服务推送服务器、用户推荐服务器等。Please refer to FIG1 , which is a block diagram of a digital management method for operation and maintenance based on a substation provided by the present invention. As shown in FIG1 , the terminal 10 is connected to the server 20 via a network, for example, via a wired or wireless network connection. The terminal 10 may include but is not limited to portable terminals such as mobile phones and tablets installed with various network platform applications, as well as fixed terminals such as computers, query machines, and advertising machines. The server 20 provides users with various business services, including a service push server, a user recommendation server, and the like.
需要说明的是，图1所示的一种基于变电站的运维数字化管理方法的结构框图仅仅是一个示例，本发明实施例描述的终端10、服务器20以及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，并不生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，随着系统的演变和新业务场景的出现，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。It should be noted that the structural block diagram of a substation-based operation and maintenance digital management method shown in Figure 1 is only an example. The terminal 10, server 20 and application scenario described in the embodiment of the present invention are for the purpose of more clearly illustrating the technical solution of the embodiment of the present invention, and do not generate limitations on the technical solution provided by the embodiment of the present invention. Ordinary technicians in this field know that with the evolution of the system and the emergence of new business scenarios, the technical solution provided by the embodiment of the present invention is also applicable to similar technical problems.
其中，终端10可以用于：The terminal 10 may be used for:
通过传感器网络实时采集变电站的各设备的运行数据；Collect the operating data of each device in the substation in real time through the sensor network;
对原始的所述运行数据进行清洗和预处理，得到预处理后的数据；Cleaning and preprocessing the original operation data to obtain preprocessed data;
基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分；Based on the preprocessed data, the status of each device is evaluated through the device health evaluation model to obtain a health score of each device;
通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果；Analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain failure prediction results for each of the devices;
根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级；Generate an operation and maintenance plan and operation and maintenance priority for each of the devices based on the health score and fault prediction result of each of the devices;
当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。When the health score or failure probability of any device meets the preset conditions, an alarm is automatically triggered and corresponding maintenance suggestions and emergency measures are provided for the device that triggered the alarm.
请参阅图2，提供了本发明的一种基于变电站的运维数字化管理方法的流程图，包括以下步骤：Please refer to FIG2 , which provides a flow chart of a substation-based digital operation and maintenance management method of the present invention, comprising the following steps:
步骤201、通过传感器网络实时采集变电站的各设备的运行数据。Step 201: collect the operation data of each device of the substation in real time through the sensor network.
在一些实施例中，在变电站的各关键设备上部署了多种类型的传感器，如温度传感器、振动传感器、电流传感器和加速度传感器等。In some embodiments, various types of sensors are deployed on key equipment in the substation, such as temperature sensors, vibration sensors, current sensors, and acceleration sensors.
每种传感器负责监测特定的设备参数，确保能够全面覆盖设备的运行状态。例如，温度传感器用于监测设备的温度，振动传感器监测机械部分的振动状况，加速度传感器用于检测设备的运动状态。Each sensor is responsible for monitoring a specific device parameter to ensure that it can fully cover the operating status of the device. For example, a temperature sensor is used to monitor the temperature of the device, a vibration sensor monitors the vibration of the mechanical part, and an acceleration sensor is used to detect the movement of the device.
在一些实施例中，传感器网络能够持续、不间断地采集设备的运行数据，并在采集后立即传输到中央系统。这种实时性确保了数据的时效性，能够反映设备的当前状态。数据采集频率可根据设备的重要性和运行条件进行调整，重要设备或关键参数的采集频率可能更高，以确保能够及时捕捉到任何异常变化。In some embodiments, the sensor network can continuously and uninterruptedly collect the operating data of the equipment and transmit it to the central system immediately after collection. This real-time performance ensures the timeliness of the data and can reflect the current status of the equipment. The frequency of data collection can be adjusted according to the importance and operating conditions of the equipment. The frequency of data collection for important equipment or key parameters may be higher to ensure that any abnormal changes can be captured in time.
在一些实施例中，传感器网络通常通过有线或无线通信方式将采集到的数据传输到中央监控系统。常用的通信技术包括工业以太网、无线传感器网络（WSN）或物联网（IoT）技术。传输过程中的数据应进行加密和校验，以确保数据的完整性和安全性，防止数据在传输过程中受到干扰或篡改。In some embodiments, the sensor network usually transmits the collected data to the central monitoring system through wired or wireless communication. Common communication technologies include industrial Ethernet, wireless sensor network (WSN) or Internet of Things (IoT) technology. The data in the transmission process should be encrypted and verified to ensure the integrity and security of the data and prevent the data from being interfered or tampered with during the transmission process.
在一些实施例中，中央监控系统接收到传感器数据后，会进行实时处理和存储。这些数据可以用于后续的健康度评估、故障预测和运维优先级计算。数据存储通常采用数据库或云存储的方式，以便随时调用和分析历史数据，为设备运行状况的长期趋势分析提供依据。In some embodiments, after receiving the sensor data, the central monitoring system will process and store it in real time. This data can be used for subsequent health assessment, fault prediction, and operation and maintenance priority calculation. Data storage usually uses database or cloud storage to call and analyze historical data at any time, providing a basis for long-term trend analysis of equipment operation status.
在一些实施例中，通过传感器网络采集的实时数据，中央监控系统可以根据设备的当前状态做出及时的决策，如触发报警、调度维护人员或调整运行参数。这些数据也为本发明中的健康度评估、故障预测和运维优先级计算提供了基础，确保决策的科学性和准确性。In some embodiments, through the real-time data collected by the sensor network, the central monitoring system can make timely decisions based on the current status of the equipment, such as triggering alarms, dispatching maintenance personnel, or adjusting operating parameters. These data also provide a basis for health assessment, fault prediction, and operation and maintenance priority calculation in the present invention, ensuring the scientificity and accuracy of decision-making.
综上，实时数据采集方式的主要作用是确保变电站设备的运行状况能够被持续监控和及时掌握，支持系统在发现异常或潜在故障时能够迅速采取应对措施。这种方法提高了设备管理的自动化水平，减少了对人工巡检的依赖，同时也提升了系统的整体运行安全性和可靠性。In summary, the main function of real-time data collection is to ensure that the operating status of substation equipment can be continuously monitored and timely grasped, and to support the system to take prompt countermeasures when abnormalities or potential faults are found. This method improves the automation level of equipment management, reduces reliance on manual inspections, and also improves the overall operational safety and reliability of the system.
步骤202、对原始的所述运行数据进行清洗和预处理，得到预处理后的数据。Step 202: clean and preprocess the original operation data to obtain preprocessed data.
在一些实施例中，可以从传感器网络采集到的原始数据可能包含各种问题，如噪声、异常值、数据缺失或重复记录。这些问题可能由于传感器故障、环境干扰、网络传输误差等原因产生。原始数据未经处理直接用于分析，可能会导致结果的不准确甚至错误，因此需要先进行数据清洗和预处理。In some embodiments, the raw data collected from the sensor network may contain various problems, such as noise, outliers, missing data, or duplicate records. These problems may be caused by sensor failure, environmental interference, network transmission errors, etc. If the raw data is directly used for analysis without being processed, it may lead to inaccurate or even wrong results, so data cleaning and preprocessing are required first.
在一些实施例中，可以对数据进行平滑处理，消除由于传感器精度限制或环境干扰造成的随机噪声。例如，可以使用加权平均滤波、移动平均或卡尔曼滤波等方法平滑数据，得到更接近真实情况的测量值。检测并修正异常值，如极端偏离正常范围的数值。这些异常值可能是传感器故障或短暂的外部干扰造成的。处理方法包括替换为平均值、中位数或最近的正常值。在数据采集中可能会出现缺失值，这些缺失可能是由于传感器短暂失效或通信中断造成的。常用的数据补全方法包括插值法（如线性插值、样条插值）或基于历史数据的预测填补。In some embodiments, the data can be smoothed to eliminate random noise caused by sensor accuracy limitations or environmental interference. For example, weighted average filtering, moving average, or Kalman filtering can be used to smooth the data to obtain measurements that are closer to the actual situation. Detect and correct outliers, such as values that deviate extremely from the normal range. These outliers may be caused by sensor failure or temporary external interference. Processing methods include replacing them with the average, median, or nearest normal value. Missing values may occur in data collection, which may be caused by temporary sensor failure or communication interruption. Common data completion methods include interpolation methods (such as linear interpolation, spline interpolation) or predictive filling based on historical data.
在一些实施例中，为消除不同设备或不同参数之间的量纲差异，将数据进行标准化或归一化处理。例如，温度数据可以通过减去均值再除以标准差的方式标准化，使得数据分布更适合后续的统计分析或机器学习模型。对于具有显著趋势或周期性的时间序列数据，可以通过去趋势或去周期性的方法预处理数据，使得数据更容易捕捉到短期波动或异常。例如，使用差分法或小波变换来去除趋势成分。可以进一步平滑数据，消除高频波动，使得数据更加平滑和稳定。常用的方法包括加权移动平均法、指数平滑法等。In some embodiments, in order to eliminate the dimensional differences between different devices or different parameters, the data is standardized or normalized. For example, temperature data can be standardized by subtracting the mean and then dividing by the standard deviation, so that the data distribution is more suitable for subsequent statistical analysis or machine learning models. For time series data with significant trends or periodicity, the data can be preprocessed by detrending or deperiodic methods to make the data easier to capture short-term fluctuations or anomalies. For example, the trend component is removed using a differential method or a wavelet transform. The data can be further smoothed to eliminate high-frequency fluctuations, making the data smoother and more stable. Common methods include weighted moving average, exponential smoothing, etc.
在一些实施例中，经过清洗和预处理后的数据是更为可靠和准确的，消除了噪声、异常值和其他干扰因素，具有更好的连续性和稳定性。预处理后的数据为后续的健康度评估、故障预测和运维优先级计算提供了坚实的基础，确保分析结果的准确性和决策的科学性。In some embodiments, the cleaned and preprocessed data is more reliable and accurate, eliminating noise, outliers and other interference factors, and has better continuity and stability. The preprocessed data provides a solid foundation for subsequent health assessment, fault prediction and operation and maintenance priority calculation, ensuring the accuracy of the analysis results and the scientific nature of the decision.
通过对原始运行数据的清洗和预处理，本发明能够确保数据的质量，从而提高了后续分析的准确性和可靠性。预处理后的数据更加真实地反映了设备的运行状况，有助于准确评估设备的健康度、预测故障风险，并合理安排维护计划。这一过程减少了数据中人为或环境因素引入的误差，使得基于数据的决策更加可信，最终有助于提升系统的整体运行效率和安全性。By cleaning and preprocessing the original operating data, the present invention can ensure the quality of the data, thereby improving the accuracy and reliability of subsequent analysis. The preprocessed data more realistically reflects the operating status of the equipment, helps to accurately assess the health of the equipment, predict failure risks, and reasonably arrange maintenance plans. This process reduces the errors introduced by human or environmental factors in the data, making data-based decisions more credible, and ultimately helping to improve the overall operating efficiency and safety of the system.
步骤203、基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分。Step 203: Based on the preprocessed data, the status of each device is evaluated by a device health evaluation model to obtain a health score of each device.
在一些实施例中，步骤203可以包括以下步骤：In some embodiments, step 203 may include the following steps:
获取每个所述设备的当前功率、当前温度、振动强度和运行加速度；Obtaining the current power, current temperature, vibration intensity and operating acceleration of each of the devices;
获取每个所述设备的额定功率、正常工作温度、允许的最高温度、允许的最低温度、临界振动强度和运行加速度；Obtain the rated power, normal operating temperature, maximum allowable temperature, minimum allowable temperature, critical vibration intensity and operating acceleration of each of the equipment;
通过所述设备健康度评估模型，基于每个所述设备的额定功率、正常工作温度、允许的最高温度、允许的最低温度、临界振动强度和运行加速度，对所述设备的当前功率、当前温度、振动强度和运行加速度进行处理得到每类参数的处理结果，并结合第一权重、第二权重、第三权重和第四权重对所述处理结果进行加权求和，得到每个所述设备的健康度评分。Through the equipment health assessment model, based on the rated power, normal operating temperature, maximum allowable temperature, minimum allowable temperature, critical vibration intensity and operating acceleration of each device, the current power, current temperature, vibration intensity and operating acceleration of the device are processed to obtain the processing results of each type of parameters, and the processing results are weighted and summed in combination with the first weight, the second weight, the third weight and the fourth weight to obtain the health score of each device.
在一些实施例中，每个所述设备的健康度评分表示为：In some embodiments, the health score of each of the devices is expressed as:
; ;
其中，是第i个设备的健康度评分，是第i个设备的当前功率，是设备的额定功率，是第i个设备的当前温度，是设备的正常工作温度，是设备允许的最高温度，是设备允许的最低温度，是设备的振动强度，是设备的临界振动强度，是设备的运行加速度，是设备运行的最大加速度，分别为健康度模型的第一权重、第二权重、第三权重和第四权重。in, is the health score of the ith device, is the current power of the ith device, is the rated power of the device, is the current temperature of the ith device, is the normal operating temperature of the device, is the maximum temperature allowed by the device, is the lowest temperature allowed by the device, is the vibration intensity of the equipment, is the critical vibration intensity of the equipment, is the running acceleration of the device, is the maximum acceleration at which the device operates, They are the first weight, second weight, third weight and fourth weight of the health model respectively.
具体实现中，衡量设备当前功率与设备额定功率的比值对设备健康度的影响。当接近时，该比值接近1，表示设备按设计负载工作，健康度较好；如果远低于或高于，则比值会远离1，健康度评分会降低。In the specific implementation, Measure the current power of the device Rated power of equipment The impact of the ratio of on the health of the equipment. near When the ratio is close to 1, it means that the equipment is working according to the designed load and the health is good; if Much lower or higher , the ratio will be far away from 1 and the health score will decrease.
采用三次幂强化了功率对健康度的非线性影响，即功率偏差越大，对健康度的负面影响越显著。第一权重决定了功率因素在健康度评分中的影响程度。若较大，功率的变化对健康度的影响也会更大。The use of cubic power strengthens the nonlinear effect of power on health, that is, the greater the power deviation, the more significant the negative impact on health. Determines the influence of power factor on health score. The larger the value, the greater the effect of power changes on health.
表示设备当前温度与正常工作温度的偏差对设备健康度的影响。分母是温度的工作区间范围，标准化了温度偏差，使不同设备的温度特性可比。采用四次幂增加了温度偏差对健康度的影响，温度越偏离正常值，对健康度的影响越大。第二权重控制了温度因素的影响力，温度因素对健康度的作用随增大而增强。 Indicates the current temperature of the device Normal operating temperature The impact of the deviation on the health of the equipment. It is the working range of temperature, which standardizes the temperature deviation and makes the temperature characteristics of different devices comparable. The fourth power increases the impact of temperature deviation on health. The more the temperature deviates from the normal value, the greater the impact on health. After controlling the influence of temperature, the effect of temperature on health Increase and strengthen.
衡量设备的振动强度相对于临界振动强度的比值。采用对数函数能缓解振动强度变化对健康度的影响，使其变化更平滑。振动强度越接近或超过临界值，健康度评分下降。引入了设备运行加速度的影响。指数函数使得加速度的负面影响以非线性形式表现出来，加速度越大，健康度评分降低越显著。 Measuring the vibration intensity of equipment Relative to critical vibration intensity The logarithmic function can alleviate the impact of vibration intensity changes on health and make the changes smoother. The closer the vibration intensity is to or exceeds the critical value, the lower the health score will be. Introduced equipment running acceleration The exponential function makes the negative impact of acceleration appear in a nonlinear form. The greater the acceleration, the more significant the decrease in health score.
第三权重用于控制振动因素对健康度的影响力，振动变化的影响随增加而增强。第四权重控制加速度对健康度的削弱作用，值越大，加速度对健康度的负面影响越显著。The third weight Used to control the influence of vibration factors on health. The influence of vibration changes Increase and strengthen. Fourth weight Controls the weakening effect of acceleration on health. The larger the value, the more significant the negative impact of acceleration on health.
该公式计算将设备的功率、温度、振动和加速度等多个参数通过各自的权重进行加权组合，体现了各参数对设备健康度的不同影响。功率和温度的偏离，以及振动强度和加速度的增加，都会导致健康度评分降低。其中，权重的设置则允许调节各因素对最终健康度评分的贡献大小，从而为不同设备或场景提供灵活的健康度评估模型。This formula calculates The power, temperature, vibration, acceleration and other parameters of the equipment are combined by their respective weights to reflect the different effects of each parameter on the health of the equipment. Deviations in power and temperature, as well as increases in vibration intensity and acceleration, will lead to a decrease in the health score. The setting allows adjusting the contribution of each factor to the final health score, thereby providing a flexible health assessment model for different devices or scenarios.
步骤204、通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果。Step 204: Analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain failure prediction results for each of the devices.
在一些实施例中，步骤204可以包括以下步骤：In some embodiments, step 204 may include the following steps:
获取所述设备的历史故障发生的时间点，以及每个所述时间点的权重；Obtaining the time points at which historical failures of the device occurred and the weight of each of the time points;
获取所述设备存在每个潜在故障模式的影响系数，以及每个所述潜在故障模式的线性表达式；Obtaining an influence coefficient of each potential failure mode of the device and a linear expression of each potential failure mode;
根据所述设备的历史故障发生的时间点、每个所述时间点的权重、每个所述潜在故障模式的影响系数以及每个所述潜在故障模式的线性表达式，确定所述设备的故障检测结果。The fault detection result of the device is determined according to the time points at which the historical faults of the device occurred, the weight of each of the time points, the influence coefficient of each of the potential fault modes, and the linear expression of each of the potential fault modes.
在一些实施例中，设备的故障概率可以表示为：In some embodiments, the failure probability of a device can be expressed as:
; ;
其中，是设备在当前时刻t的故障概率，是历史故障发生的第j个时间点，是第j个时间点的权重，是第j个时间点的宽度参数，M是历史数据中的故障事件数量，第k个潜在故障模式的影响系数，是第k个潜在故障模式的线性表达式，Y是潜在故障模式的数量。in, is the failure probability of the device at the current time t, is the jth time point when the historical failure occurred, is the weight at the jth time point, is the width parameter at the jth time point, M is the number of fault events in the historical data, The influence coefficient of the kth potential failure mode, is the linear expression of the kth potential failure mode, and Y is the number of potential failure modes.
具体实现中，是设备在当前时刻t的故障概率。是历史故障发生的第j个时间点。是第j个时间点的权重，反映了该故障事件的重要性或影响程度。权重越大，该事件对当前时刻故障概率的贡献越大。是第j个时间点的宽度参数，决定了该历史故障的影响范围。较大的表示该故障事件的影响范围较广，时间衰减较慢；较小的则表示影响范围较窄，时间衰减较快。M是历史数据中的故障事件数量。第k个潜在故障模式的影响系数，决定了该故障模式对故障概率的贡献度。系数越大，说明该模式对故障概率的影响越显著。In the specific implementation, is the failure probability of the equipment at the current time t. is the jth time point when the historical failure occurred. is the weight of the jth time point, reflecting the importance or impact of the fault event. The larger the weight, the greater the contribution of the event to the fault probability at the current moment. is the width parameter at the jth time point, which determines the impact range of the historical fault. Indicates that the impact of the fault event is wider and the time decay is slower; smaller This means that the impact range is narrower and the time decay is faster. M is the number of fault events in the historical data. The influence coefficient of the kth potential failure mode determines the contribution of this failure mode to the failure probability. The larger the coefficient, the more significant the impact of this mode on the failure probability.
是第k个潜在故障模式的线性表达式，描述了该模式下各输入变量（如设备参数、运行状态等）对故障风险的综合作用。的一般形式为：，其中，是第k个模式下，第i个输入变量的权重；是输入变量（如传感器数据、环境条件等）；是偏置项。是逻辑回归函数（sigmoid函数），用于将线性表达式转换为0到1之间的概率值，反映该模式下设备发生故障的可能性。Y是潜在故障模式的数量，代表了模型中考虑的不同故障机制或模式的总数。 It is a linear expression of the kth potential failure mode, which describes the comprehensive effect of various input variables (such as equipment parameters, operating status, etc.) on the failure risk under this mode. The general form is: ,in, is the weight of the i-th input variable in the k-th mode; are input variables (e.g. sensor data, environmental conditions, etc.); is the bias term. is the logistic regression function (sigmoid function), which is used to transform the linear expression Converted to a probability value between 0 and 1, reflecting the probability of device failure in this mode. Y is the number of potential failure modes, representing the total number of different failure mechanisms or modes considered in the model.
具体的，这部分反映了历史故障事件对当前故障概率的影响。通过高斯函数形式计算，每个历史故障事件的影响随时间衰减，距离当前时间越近的故障事件，对当前故障概率的影响越大。Specifically, This part reflects the impact of historical fault events on the current fault probability. Calculated in the form of a Gaussian function, the impact of each historical fault event decays over time. The closer the fault event is to the current time, the greater its impact on the current fault probability.
这一部分反映了基于潜在故障模式的风险评估对当前故障概率的影响。通过逻辑回归模型评估每个潜在故障模式的风险，并将其综合到总的故障概率中。 This section reflects the impact of the risk assessment based on potential failure modes on the current failure probability. The risk of each potential failure mode is assessed through a logistic regression model and integrated into the total failure probability.
故障概率由两个主要部分组成：Failure probability It consists of two main parts:
历史故障数据的影响：通过高斯分布函数对历史故障数据进行加权求和，体现了历史故障事件对当前时刻故障风险的影响。该部分主要依赖于过去的经验数据，考虑了时间衰减效应，越近的历史故障对当前时刻的影响越大。Impact of historical fault data: The weighted sum of historical fault data is performed through the Gaussian distribution function to reflect the impact of historical fault events on the current moment's fault risk. This part mainly relies on past experience data and takes into account the time decay effect. The more recent the historical fault, the greater the impact on the current moment.
潜在故障模式的影响：通过逻辑回归模型评估潜在的故障模式风险，并结合这些模式对当前时刻的故障概率进行修正和补充。这部分通过多个故障模式的综合影响，增强了预测的深度和广度，适用于不同的故障机制。Impact of potential failure modes: The potential failure mode risk is evaluated through a logistic regression model, and these modes are combined to correct and supplement the failure probability at the current moment. This part enhances the depth and breadth of prediction through the combined impact of multiple failure modes, and is applicable to different failure mechanisms.
该公式结合了历史数据和机器学习模型，既能利用过去的故障经验，又能通过数据驱动的方式预测未来可能的故障，提供了一个全面的故障风险评估方法。This formula combines historical data and machine learning models to both leverage past failure experience and predict possible future failures in a data-driven manner, providing a comprehensive failure risk assessment method.
步骤205、根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级。Step 205: Generate an operation and maintenance plan and operation and maintenance priority for each of the devices based on the health score and fault prediction result of each of the devices.
在一些实施例中，步骤205可以包括以下步骤：In some embodiments, step 205 may include the following steps:
获取所述设备的故障概率，以及所述故障概率对应的时刻；Obtaining a failure probability of the device and a time corresponding to the failure probability;
根据所述概率对应的时刻和拉格朗日函数，处理得到所述拉格朗日函数的一阶导数和二阶导数；According to the time corresponding to the probability and the Lagrangian function, a first-order derivative and a second-order derivative of the Lagrangian function are obtained by processing;
根据所述设备的健康度评分、故障概率，以及所述拉格朗日函数的一阶导数和二阶导数，确定所述设备的运维优先级。The operation and maintenance priority of the device is determined according to the health score, the failure probability, and the first-order derivative and the second-order derivative of the Lagrangian function of the device.
在一些实施例中，每个所述设备的运维优先级表示为：In some embodiments, the operation and maintenance priority of each of the devices is expressed as:
; ;
其中，是第i个设备的运维优先级，是第i个设备的健康度评分，是设备在当前时刻t的故障概率，分别为第一影响系数、第二影响系数和第三影响系数，L是拉格朗日函数。in, is the maintenance priority of the ith device, is the health score of the ith device, is the failure probability of the device at the current time t, are the first influence coefficient, the second influence coefficient and the third influence coefficient respectively, and L is the Lagrangian function.
具体实现中，是第i个设备的运维优先级，是第i个设备的健康度评分，健康度评分越低（即越小），越大，表示该设备需要更高的运维优先级。是设备在当前时刻t的故障概率，分别为第一影响系数、第二影响系数和第三影响系数，使得故障概率的上升直接提高运维优先级。L是拉格朗日函数。In the specific implementation, is the maintenance priority of the ith device, is the health score of the ith device. The lower the health score (i.e. The smaller), The larger the value, the higher the maintenance priority of the device. is the failure probability of the device at the current time t, are the first influence coefficient, the second influence coefficient and the third influence coefficient respectively. The increase in the probability of failure directly increases the priority of operation and maintenance. L is the Lagrangian function.
具体的，这一部分反映了设备健康度和故障概率对运维优先级的影响。健康度评分（即设备状态差）的设备优先级更高，而故障概率增加时，运维优先级也随之提高。综合考虑了设备的健康状态和故障风险，确保在设备健康度差且故障概率高的情况下，运维优先级迅速升高。Specifically, This section reflects the impact of equipment health and failure probability on operation and maintenance priorities. Device priority (i.e. poor device status) Higher, and the probability of failure As the number of tasks increases, the priority of operations and maintenance also increases. It takes into account the health status and failure risk of the equipment, ensuring that the priority of operation and maintenance rises rapidly when the equipment health is poor and the probability of failure is high.
这两部分引入了与时间相关的拉格朗日函数 L的一阶和二阶导数，用于进一步调整运维优先级，考虑了系统随时间的动态变化。在优化问题中，拉格朗日函数L通常用于处理目标函数和约束条件的结合。这里，它可以表示系统的运维成本、资源分配等综合因素。 These two parts introduce the first and second order derivatives of the time-related Lagrangian function L, which are used to further adjust the operation and maintenance priority, taking into account the dynamic changes of the system over time. In optimization problems, the Lagrangian function L is usually used to deal with the combination of objective functions and constraints. Here, it can represent comprehensive factors such as the system's operation and maintenance costs and resource allocation.
一阶导数表示拉格朗日函数随时间的变化速率，反映了系统运维成本或资源分配的即时变化趋势。是与该变化率相关的权重系数。如果为正，表示系统状态可能恶化，因此运维优先级可能需要提高。First Derivative It represents the rate of change of the Lagrangian function over time, reflecting the immediate change trend of system operation and maintenance costs or resource allocation. is the weight coefficient associated with the rate of change. If it is positive, it means that the system status may deteriorate, so the maintenance priority may need to be increased.
二阶导数表示拉格朗日函数随时间的加速度变化，反映了系统状态变化的加速度。是与该加速度相关的权重系数。如果为正，表示系统状态正在加速恶化，因此运维优先级可能需要更大幅度地提高。Second Derivative It represents the acceleration change of the Lagrangian function over time, reflecting the acceleration of the system state change. is the weight coefficient associated with this acceleration. If If it is positive, it means that the system status is deteriorating rapidly, so the maintenance priority may need to be increased more significantly.
通过计算出每个设备的运维优先级，是一个综合评估设备维护需求的指标，综合考虑了设备的当前状态、历史数据及未来趋势，提供了一个全面且动态的设备运维优先级评估方法，有助于优化运维资源的分配，确保系统的稳定运行。By calculating the operation and maintenance priority of each device It is an indicator for comprehensively evaluating equipment maintenance needs. It takes into account the current status, historical data and future trends of the equipment, and provides a comprehensive and dynamic equipment operation and maintenance priority evaluation method, which helps to optimize the allocation of operation and maintenance resources and ensure the stable operation of the system.
步骤206、当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。Step 206: When the health score or failure probability of any device meets the preset conditions, an alarm is automatically triggered and corresponding maintenance suggestions and emergency measures are provided for the device that triggered the alarm.
在一些实施例中，步骤206可以包括以下步骤：In some embodiments, step 206 may include the following steps:
获取健康度评分阈值和故障概率阈值；Get the health score threshold and failure probability threshold;
当任一设备的健康度评分小于所述健康度评分阈值，或故障概率大于故障概率阈值，则所述设备满足预设条件，触发针对所述设备的报警操作，并为所述设备提供对应的维护建议和应急措施。When the health score of any device is less than the health score threshold, or the failure probability is greater than the failure probability threshold, the device meets the preset conditions, triggers an alarm operation for the device, and provides corresponding maintenance suggestions and emergency measures for the device.
可以理解，健康度评分是根据设备的运行参数（如功率、温度、振动、加速度等）计算得出的一个综合评分，反映了设备的当前健康状态。健康度评分阈值是一个预先设定的数值，用于判断设备是否处于正常运行状态。该阈值通常根据设备历史运行数据、制造商推荐的安全标准或运维经验设定。当设备的健康度评分低于这一阈值时，意味着设备的运行状态已经恶化到一个不安全的水平，可能需要立即进行维护或检修。It can be understood that the health score is a comprehensive score calculated based on the operating parameters of the device (such as power, temperature, vibration, acceleration, etc.), which reflects the current health status of the device. The health score threshold is a pre-set value used to determine whether the device is in normal operating condition. This threshold is usually set based on the historical operating data of the device, the safety standards recommended by the manufacturer, or operation and maintenance experience. When the health score of the device is lower than this threshold, it means that the operating status of the device has deteriorated to an unsafe level and may require immediate maintenance or repair.
还可以理解，设备的故障概率是基于设备的历史故障数据和潜在故障模式预测的一个数值，表示设备在当前时刻发生故障的可能性。故障概率阈值是一个设定的临界值，表示在多大概率下需要对设备进行特别关注和处理。该阈值可以根据故障历史数据的统计分析、行业标准或运维策略确定。当设备的故障概率超过这一阈值时，说明设备可能面临较高的故障风险，需要提前采取预防性措施。It can also be understood that the failure probability of a device is a numerical value based on the device's historical failure data and potential failure mode predictions, indicating the possibility of a device failure at the current moment. The failure probability threshold is a set critical value that indicates the probability at which a device needs special attention and treatment. This threshold can be determined based on statistical analysis of historical failure data, industry standards, or operation and maintenance strategies. When the failure probability of a device exceeds this threshold, it means that the device may face a high risk of failure and preventive measures need to be taken in advance.
在一些实施例中，当设备的健康度评分低于健康度评分阈值，或故障概率超过故障概率阈值中的任意一个条件成立，都视为设备存在潜在风险。当上述预设条件满足时，系统会自动触发报警操作，向运维人员发出警告信号。这种报警可以是声音、灯光、短信通知、邮件通知等形式，确保运维人员及时知晓设备的异常状态。In some embodiments, when the health score of the device is lower than the health score threshold, or the failure probability exceeds the failure probability threshold, any of the following conditions is met, the device is considered to have potential risks. When the above preset conditions are met, the system will automatically trigger an alarm operation and send a warning signal to the operation and maintenance personnel. This alarm can be in the form of sound, light, SMS notification, email notification, etc., to ensure that the operation and maintenance personnel are aware of the abnormal status of the equipment in a timely manner.
在一些实施例中，在触发报警的同时，系统可以根据设备的具体情况，提供相应的维护建议。这些建议可能包括立即检查某个部件、调整设备的运行参数、安排停机维护等，帮助运维人员做出正确的决策。在设备面临严重故障风险时，系统还会建议采取应急措施，如降低设备负荷、切换到备用设备、暂时停止设备运行等，以防止故障进一步恶化或导致更大范围的停电事故。In some embodiments, when an alarm is triggered, the system can provide corresponding maintenance suggestions based on the specific situation of the equipment. These suggestions may include immediately checking a component, adjusting the operating parameters of the equipment, arranging downtime for maintenance, etc., to help operation and maintenance personnel make correct decisions. When the equipment is at risk of serious failure, the system will also recommend emergency measures, such as reducing the equipment load, switching to backup equipment, temporarily stopping the equipment operation, etc., to prevent the failure from further deteriorating or causing a larger power outage.
通过设定健康度评分阈值和故障概率阈值，本方案能够实时监控设备的运行状态并在出现潜在风险时及时发出警报。这样不仅能够防止设备在隐患状态下继续运行，还能通过提前介入的方式，降低设备故障的发生率和严重性，确保变电站的安全稳定运行。此外，系统自动生成的维护建议和应急措施，帮助运维人员快速响应，有效减少停机时间和运维成本。By setting health score thresholds and failure probability thresholds, this solution can monitor the operating status of equipment in real time and issue alerts in a timely manner when potential risks occur. This not only prevents equipment from continuing to operate in a hidden danger state, but also reduces the incidence and severity of equipment failures through early intervention, ensuring the safe and stable operation of the substation. In addition, the maintenance suggestions and emergency measures automatically generated by the system help operation and maintenance personnel respond quickly, effectively reducing downtime and operation and maintenance costs.
在一些实施例中，本发明的方法还可以包括：In some embodiments, the method of the present invention may further include:
获取所述设备的运行状态的历史数据报表和维护记录；Obtaining historical data reports and maintenance records of the operating status of the equipment;
从所述设备的历史数据报表统计的多个时间周期，以及每个所述时间周期对应的历史健康度评分；Multiple time periods calculated from historical data reports of the device, and historical health scores corresponding to each of the time periods;
根据多个所述时间周期和每个所述时间周期的历史健康度评分，计算所述设备的历史健康度评分平均值；Calculate an average value of the historical health scores of the device according to the multiple time periods and the historical health scores of each time period;
对所述历史健康度评分平均值进行分析，为所述设备确定备用维护建议。The historical health score averages are analyzed to determine alternate maintenance recommendations for the equipment.
其中，历史数据报表是由系统自动生成的文档，记录了设备在过去一段时间内的运行状态数据。这些数据通常包括设备的功率、温度、振动、加速度等关键参数，并按时间顺序排列。维护记录是设备在过去运维过程中所采取的所有维护活动的记录。维护记录详细描述了设备在各个时间点所进行的检查、保养、维修或更换部件等活动，以及这些活动的结果。Among them, the historical data report is a document automatically generated by the system, which records the operating status data of the equipment in the past period of time. These data usually include key parameters such as power, temperature, vibration, acceleration, etc. of the equipment, and are arranged in chronological order. The maintenance record is a record of all maintenance activities taken by the equipment during the past operation and maintenance process. The maintenance record describes in detail the inspection, maintenance, repair or replacement of parts performed by the equipment at various time points, as well as the results of these activities.
在一些实施例中，可以根据设备的运行特性和数据采集频率，历史数据报表会被划分为多个时间周期（如按月、按季度、按年等），每个时间周期代表设备在这一段时间内的运行状态。在每个时间周期内，系统根据设备的运行数据计算出一个历史健康度评分，这个评分反映了设备在该时间周期内的综合运行状况。健康度评分越高，表示设备运行状态越好；评分越低，表示设备可能存在问题。In some embodiments, historical data reports can be divided into multiple time periods (such as monthly, quarterly, and annually) based on the operating characteristics of the device and the frequency of data collection. Each time period represents the operating status of the device during this period. In each time period, the system calculates a historical health score based on the operating data of the device. This score reflects the comprehensive operating status of the device during the time period. The higher the health score, the better the operating status of the device; the lower the score, the possible problem of the device.
对于每个设备，系统会计算出其在多个时间周期内的历史健康度评分的平均值。这个平均值提供了一个长期的、综合的设备健康状况的评估指标。For each device, the system calculates the average of its historical health scores over multiple time periods. This average provides a long-term, comprehensive assessment of the device's health status.
在一些实施例中，可以通过分析设备的历史健康度评分平均值，系统能够识别出设备在长期运行中可能存在的趋势性问题。例如，如果平均健康度评分逐渐下降，可能表示设备的状态在恶化，需提前介入进行维护。In some embodiments, by analyzing the average historical health score of the device, the system can identify trend problems that may exist in the long-term operation of the device. For example, if the average health score gradually decreases, it may indicate that the condition of the device is deteriorating and maintenance needs to be intervened in advance.
备用维护建议的确定：根据历史健康度评分的分析结果，系统会生成备用维护建议。这些建议可能包括加强某些部件的监控频率、提前更换易损件、安排更多的预防性维护活动等，以延长设备的使用寿命，防止突发故障。Determination of alternate maintenance recommendations: Based on the analysis results of historical health scores, the system will generate alternate maintenance recommendations. These recommendations may include increasing the monitoring frequency of certain components, replacing wearing parts in advance, and arranging more preventive maintenance activities to extend the service life of the equipment and prevent sudden failures.
综上，通过获取和分析设备的历史运行状态和维护记录，本发明能够深入了解设备的长期健康状况，识别出潜在的趋势性问题。计算出的历史健康度评分平均值为设备的整体运行质量提供了一个量化评估，帮助运维人员更准确地预测设备的维护需求。基于这些分析结果制定的备用维护建议，使得运维策略更加主动和预防性，有助于减少设备故障的发生频率，延长设备的使用寿命，优化运维资源的配置，从而提高变电站的运行安全性和可靠性。In summary, by acquiring and analyzing the historical operating status and maintenance records of the equipment, the present invention can gain an in-depth understanding of the long-term health status of the equipment and identify potential trending problems. The calculated average historical health score provides a quantitative assessment of the overall operating quality of the equipment, helping operation and maintenance personnel to more accurately predict the maintenance needs of the equipment. The backup maintenance recommendations formulated based on these analysis results make the operation and maintenance strategy more proactive and preventive, help reduce the frequency of equipment failures, extend the service life of the equipment, and optimize the allocation of operation and maintenance resources, thereby improving the operational safety and reliability of the substation.
请参阅图3，图3为本发明提供的一种基于变电站的运维数字化管理系统的结构示意图。Please refer to FIG3 , which is a schematic diagram of the structure of a substation-based operation and maintenance digital management system provided by the present invention.
如图3所示，本发明实施例提出的一种基于变电站的运维数字化管理系统包括：As shown in FIG3 , an operation and maintenance digital management system based on a substation proposed in an embodiment of the present invention includes:
数据获取模块301，用于通过传感器网络实时采集变电站的各设备的运行数据；The data acquisition module 301 is used to collect the operation data of each device of the substation in real time through the sensor network;
数据处理模块302，用于对原始的所述运行数据进行清洗和预处理，得到预处理后的数据；The data processing module 302 is used to clean and preprocess the original operation data to obtain preprocessed data;
设备评分模块303，用于基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分；The device scoring module 303 is used to evaluate the status of each device through the device health evaluation model based on the preprocessed data to obtain the health score of each device;
故障预测模块304，用于通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果；A fault prediction module 304 is used to analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain a fault prediction result for each of the devices;
运维计划模块305，用于根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级；The operation and maintenance plan module 305 is used to generate an operation and maintenance plan and an operation and maintenance priority for each of the devices according to the health score and the fault prediction result of each of the devices;
运维执行模块306，用于当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。The operation and maintenance execution module 306 is used to automatically trigger an alarm when the health score or failure probability of any device meets the preset conditions and provide corresponding maintenance suggestions and emergency measures for the device that triggered the alarm.
请参阅图4，图4为本发明实施例提供的电子设备的实施例示意图。如图4所示，本发明实施例提了一种电子设备400，包括存储器410、处理器420及存储在存储器410上并可在处理器420上运行的计算机程序411，处理器420执行计算机程序411时实现以下步骤：Please refer to FIG4 , which is a schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. As shown in FIG4 , an embodiment of the present invention provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented:
通过传感器网络实时采集变电站的各设备的运行数据；Collect the operating data of each device in the substation in real time through the sensor network;
对原始的所述运行数据进行清洗和预处理，得到预处理后的数据；Cleaning and preprocessing the original operation data to obtain preprocessed data;
基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分；Based on the preprocessed data, the status of each device is evaluated through the device health evaluation model to obtain a health score of each device;
通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果；Analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain failure prediction results for each of the devices;
根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级；Generate an operation and maintenance plan and operation and maintenance priority for each of the devices based on the health score and fault prediction result of each of the devices;
当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。When the health score or failure probability of any device meets the preset conditions, an alarm is automatically triggered and corresponding maintenance suggestions and emergency measures are provided for the device that triggered the alarm.
请参阅图5，图5为本发明实施例提供的一种计算机可读存储介质的实施例示意图。如图5所示，本实施例提供了一种计算机可读存储介质500，其上存储有计算机程序411，该计算机程序411被处理器执行时实现如下步骤：Please refer to Figure 5, which is a schematic diagram of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention. As shown in Figure 5, this embodiment provides a computer-readable storage medium 500, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented:
通过传感器网络实时采集变电站的各设备的运行数据；Collect the operating data of each device in the substation in real time through the sensor network;
对原始的所述运行数据进行清洗和预处理，得到预处理后的数据；Cleaning and preprocessing the original operation data to obtain preprocessed data;
基于预处理后的数据，通过设备健康度评估模型对各所述设备的状态进行评估，得到各所述设备的健康度评分；Based on the preprocessed data, the status of each device is evaluated through the device health evaluation model to obtain a health score of each device;
通过时间序列分析法和机器学习模型对各所述设备的历史运行数据进行分析，以预测潜在的设备故障，得到各所述设备的故障预测结果；Analyze the historical operation data of each of the devices through time series analysis and machine learning models to predict potential device failures and obtain failure prediction results for each of the devices;
根据各所述设备的健康度评分和故障预测结果，生成各所述设备的运维计划和运维优先级；Generate an operation and maintenance plan and operation and maintenance priority for each of the devices based on the health score and fault prediction result of each of the devices;
当任一个设备的健康度评分或故障概率满足预设条件时，自动触发报警并为触发报警的设备提供对应的维护建议和应急措施。When the health score or failure probability of any device meets the preset conditions, an alarm is automatically triggered and corresponding maintenance suggestions and emergency measures are provided for the device that triggered the alarm.
需要说明的是，在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详细描述的部分，可以参见其它实施例的相关描述。It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
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、CD-ROM、光学存储器等）上实施的计算机程序产品的形式。It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
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。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、嵌入式计算机或者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系统。The present invention is described with reference to the flowchart and/or block diagram of the method, device (system), and computer program product according to the embodiment of the present invention. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the process and/or box in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a system for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the 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系统的制造品，该指令系统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 that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction system that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
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 may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
尽管已描述了本发明的优选实施例，但本领域内的技术人员一旦得知了基本创造概念，则可对这些实施例作出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本发明范围的所有变更和修改。Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
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，则本发明也意图包括这些改动和变型在内。Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if 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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| CN202411269952.3ACN118826294B (en) | 2024-09-11 | 2024-09-11 | A digital management method and system for substation-based operation and maintenance |
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| CN202411269952.3ACN118826294B (en) | 2024-09-11 | 2024-09-11 | A digital management method and system for substation-based operation and maintenance |
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| CN202411269952.3AActiveCN118826294B (en) | 2024-09-11 | 2024-09-11 | A digital management method and system for substation-based operation and maintenance |
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