Method and device for monitoring operation condition of distribution network equipment and electronic equipment

Abstract

The invention discloses a method and device for monitoring the operation condition of distribution network equipment and electronic equipment. The method for monitoring the operation condition of the distribution network equipment comprises the following steps: acquiring equipment ledger data and operation fault data of a plurality of pieces of distribution network equipment in a distribution network line, the equipment ledger data at least comprises hardware parameter data of a plurality of pieces of distribution network equipment and setting parameter data of the plurality of pieces of distribution network equipment in a power distribution network line; determining operation age limit conditions of the plurality of distribution network devices based on the device ledger data, and determining device fault conditions of the plurality of distribution network devices based on the operation fault data; and based on the operation age limit condition and the equipment fault condition, constructing operation condition monitoring results of the plurality of distribution network equipment, the operation condition monitoring results being used for representing operation conditions of the plurality of distribution network equipment. According to the invention, the technical problem of low efficiency of monitoring the operation condition of the distribution network equipment in the related technology is solved.

Description

Technical Field

[0001] The present invention relates to the field of distribution network equipment monitoring, and in particular to a method, device and electronic equipment for monitoring the operating status of distribution network equipment. Background Art

[0002] In the electric power sector, by monitoring and recording the operating status and performance parameters of various distribution equipment in the distribution network, such as transformers, switchgear, cables, etc., and detecting potential faults and abnormal conditions, that is, monitoring the operating status of the distribution network equipment, problems can be discovered in a timely manner and early warnings and maintenance can be carried out to ensure the safe, stable and efficient operation of the distribution network.

[0003] At present, in the relevant technology, monitoring the operating status of distribution network equipment usually requires manual inspection, or there is a lack of methods for unified processing and management of relevant data of distribution network equipment, resulting in low efficiency in monitoring the operating status of distribution network equipment.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method, a device and an electronic device for monitoring the operating status of distribution network equipment, so as to at least solve the technical problem of low efficiency in monitoring the operating status of distribution network equipment in the related art.

[0006] According to one aspect of an embodiment of the present invention, a method for monitoring the operating status of distribution network equipment is provided, comprising: obtaining equipment inventory data and operating fault data of multiple distribution network equipment in a distribution network line, wherein the equipment inventory data at least includes hardware parameter data of multiple distribution network equipment and setting parameter data of multiple distribution network equipment in the distribution network line, and the operating fault data at least includes fault condition data and fault processing data of multiple distribution network equipment; determining the operating age status of multiple distribution network equipment based on the equipment inventory data, and determining the equipment fault status of multiple distribution network equipment based on the operating fault data; constructing operating status monitoring results of multiple distribution network equipment based on the operating age status and the equipment fault status, wherein the operating status monitoring results are used to characterize the operating status of multiple distribution network equipment.

[0007] Optionally, the operating life status of multiple distribution network devices is determined based on the equipment inventory data, including: determining the current operating life of each of the multiple distribution network devices based on the setting parameter data; determining the operating life interval ratio of the multiple distribution network devices based on the hardware parameter data and a preset age interval set; determining the operating life status based on the current operating life and the operating life interval ratio.

[0008] Optionally, the current service life of each distribution network device among multiple distribution network devices is determined based on the setting parameter data, including: obtaining the equipment commissioning time of each distribution network device in the setting parameter data, wherein the equipment commissioning time is used to indicate the time when each distribution network device is actually put into operation of the distribution network line; determining the current service life based on the current real-time time and the equipment commissioning time.

[0009] Optionally, based on the hardware parameter data and a set of preset life intervals, the operating life interval proportions of multiple distribution network devices are determined, including: obtaining the equipment design operating life of each distribution network device in the hardware parameter data; determining the operating life status based on the equipment design operating life, the total statistical number of equipment of multiple distribution network devices and the operating life interval proportions.

[0010] Optionally, the equipment fault conditions of multiple distribution network devices are determined based on the operating fault data, including: based on the fault condition data, fault processing data and preset fault type, determining the target fault devices with the same fault type in the multiple distribution network devices; based on the target fault device and equipment ledger data, determining the equipment fault condition.

[0011] Optionally, based on the target faulty equipment and equipment inventory data, the equipment fault condition is determined, including: based on the target faulty equipment and equipment inventory data, determining the manufacturer information, equipment type information and equipment service life information of the target faulty equipment; based on the manufacturer information, equipment type information and equipment service life information, determining the equipment fault condition.

[0012] According to another aspect of an embodiment of the present invention, a monitoring device for the operating status of distribution network equipment is also provided, including: an acquisition module, used to acquire equipment inventory data and operating fault data of multiple distribution network equipment in the distribution network line, wherein the equipment inventory data at least includes hardware parameter data of multiple distribution network equipment and setting parameter data of multiple distribution network equipment in the distribution network line, and the operating fault data at least includes fault status data and fault processing data of multiple distribution network equipment; a determination module, used to determine the operating years of multiple distribution network equipment based on the equipment inventory data, and determine the equipment fault status of multiple distribution network equipment based on the operating fault data; a construction module, used to construct operating status monitoring results of multiple distribution network equipment based on the operating years and equipment fault status, wherein the operating status monitoring results are used to characterize the operating status of multiple distribution network equipment.

[0013] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the method in each embodiment of the present invention is executed when the program is running.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0015] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0017] According to another aspect of the embodiments of the present invention, a computer program is further provided. When the computer program is executed by a processor, the methods in the embodiments of the present invention are implemented.

[0018] In an embodiment of the present invention, a method for monitoring the operating status of distribution network equipment is provided, including: obtaining equipment inventory data and operating fault data of multiple distribution network equipment in a distribution network line, wherein the equipment inventory data at least includes hardware parameter data of multiple distribution network equipment and setting parameter data of multiple distribution network equipment in the distribution network line, and the operating fault data at least includes fault condition data and fault processing data of multiple distribution network equipment; determining the operating age status of multiple distribution network equipment based on the equipment inventory data, and determining the equipment fault status of multiple distribution network equipment based on the operating fault data; constructing operating status monitoring results of multiple distribution network equipment based on the operating age status and the equipment fault status, wherein the operating status monitoring results are used to characterize the operating status of multiple distribution network equipment. It is easy to notice that the present application can obtain the hardware parameter data, setting parameter data, fault condition data and fault handling data of the distribution network equipment by acquiring the equipment inventory data and operation fault data of multiple distribution network equipment in the distribution network line. Based on the equipment inventory data, the operation age status of multiple distribution network equipment can be determined, and the use time and condition of the equipment can be understood. At the same time, based on the operation fault data, the equipment fault status of multiple distribution network equipment can be determined. By constructing the operation status monitoring results of multiple distribution network equipment, the operation status of the distribution network equipment can be effectively monitored and evaluated, potential problems can be discovered in time, and corresponding measures can be taken for maintenance and repair, thereby improving the operation efficiency and reliability of the distribution network equipment, and further solving the technical problem of low efficiency in monitoring the operation status of distribution network equipment in related technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a method for monitoring the operating status of distribution network equipment according to an embodiment of the present invention;

[0021] Figure 2 is a flow chart of an optional method for monitoring the operating status of distribution network equipment according to an embodiment of the present invention;

[0022] Figure 3 is a schematic diagram of a device for monitoring the operating status of distribution network equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to one aspect of an embodiment of the present invention, a method for monitoring the operating status of distribution network equipment is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 is a flow chart of a method for monitoring the operating status of a distribution network device according to an embodiment of the present invention. Figure 1As shown, the method comprises the following steps:

[0027] Step S102, obtaining equipment inventory data and operation fault data of multiple distribution network devices in the distribution network line.

[0028] Among them, the equipment inventory data at least includes the hardware parameter data of multiple distribution network devices and the setting parameter data of multiple distribution network devices in the distribution network lines, and the operation fault data at least includes the fault status data and fault handling data of multiple distribution network devices.

[0029] The above-mentioned distribution network equipment may refer to a series of equipment in the power distribution network lines used to control, monitor and protect the power system in the power field, which may include but is not limited to circuit breakers, disconnectors, voltage and current transformers, protection relays, automatic switches, lightning arresters, capacitors, inductors, etc. The specific type of distribution network equipment can be determined according to actual needs and is not limited here.

[0030] The above-mentioned hardware parameter data may refer to the physical characteristics and performance parameter data of the distribution network equipment. The hardware parameter data may include the equipment model, manufacturer, rated voltage, rated current, rated power, dimensions, weight and other information. The hardware parameter data may be determined according to actual needs and is not limited here.

[0031] The above-mentioned setting parameter data may refer to parameter data that can be adjusted and set during the operation of the distribution network equipment, which may include the equipment's working mode, operating status, protection parameters, communication parameters, etc. Reasonable configuration of the setting parameter data can ensure that the equipment can operate normally under different working conditions, and can be adjusted and optimized according to specific circumstances. The setting parameter data can be determined according to actual needs and is not limited here.

[0032] The above-mentioned fault condition data may refer to the data on the treatment measures and result records taken when a distribution network equipment fails, which may include specific steps for fault handling, operation records of maintenance personnel, information on replacement parts, repair time, etc. Fault handling data can help operation and maintenance personnel understand the maintenance history and maintenance status of the equipment, and provide a reference basis for future equipment maintenance and management. Fault condition data can be determined according to actual needs and is not limited here.

[0033] The above-mentioned fault handling data may refer to the data on the handling measures and result records taken when a fault occurs in the distribution network equipment, which may include specific steps for fault handling, operation records of maintenance personnel, information on replacement parts, repair time, etc. The fault handling data can help operation and maintenance personnel understand the maintenance history and maintenance status of the equipment, and provide a reference basis for future equipment maintenance and management. The fault handling data can be determined according to actual needs and is not limited here.

[0034] In an optional embodiment, in the process of obtaining the equipment inventory data and operation fault data of multiple distribution network devices in the distribution network line, the scope of the distribution network devices for which the equipment inventory data needs to be obtained can be determined, and communication can be carried out with the relevant equipment management department or operation and maintenance personnel. The hardware parameter data and setting parameter data of multiple distribution network devices can be obtained through the distribution network monitoring system, equipment management system or on-site equipment inspection. The hardware parameter data includes the model, manufacturer, installation location and other information of the equipment; the setting parameter data includes the rated parameters, protection parameters, communication parameters and other information of the equipment. The fault status data and fault handling data of multiple distribution network devices can be obtained through the distribution network monitoring system, equipment alarm records, fault reports and other methods. The fault status data can include information such as the time when the equipment fails, the type of fault, and the location of the fault; the fault handling data can include information such as the fault handling personnel, handling measures, and handling results. After obtaining the equipment inventory data and operation fault data, the data can also be integrated and analyzed to evaluate and monitor the operation status of the distribution network equipment. Data analysis tools or software can be used to process the data, such as establishing a database to store data, using data visualization tools to display data analysis results, etc. According to the analysis results, the failure of the distribution network equipment can be handled in a timely manner, and maintenance work can be carried out to ensure the normal operation of the equipment. The equipment can be regularly inspected and maintained according to the equipment inventory data to improve the reliability and stability of the equipment. Through the above steps, it is possible to obtain the equipment inventory data and operation fault data of multiple distribution network equipment in the distribution network line, and monitor and manage the operation status of the distribution network equipment.

[0035] Step S104, determining the operating age status of the plurality of distribution network devices based on the equipment inventory data, and determining the equipment failure status of the plurality of distribution network devices based on the operating failure data.

[0036] In an optional embodiment, during the monitoring process of the operation status of the distribution network equipment, the operating life status and equipment failure status of the distribution network equipment can be determined. For example, the expected operating life of each distribution network equipment can be determined based on the model, manufacturer and installation time of the equipment, and the design life and specification requirements of the equipment. For example, if the design life of a certain equipment is 10 years and it has been in operation for 8 years, the remaining operating life of the equipment is 2 years. The operating failure data of the distribution network equipment, including the time of failure, type of failure, repair time and other information, can be collected through the equipment monitoring system or inspection records. According to the operating failure data, the failure frequency, type of failure and repair status of each distribution network equipment can be analyzed to determine the failure status of the equipment. For example, if a certain equipment has multiple failures in the past year and the repair time is long, it can be considered that the equipment has a greater failure risk. The operating life status and equipment failure status of the equipment can be comprehensively evaluated, and the overall status of the distribution network equipment can be evaluated and analyzed. According to the evaluation results, corresponding maintenance and update plans can be formulated to ensure the safe and stable operation of the distribution network equipment.

[0037] Step S106, constructing operation status monitoring results of multiple distribution network devices based on the operation years and equipment failure conditions.

[0038] Among them, the operating status monitoring results are used to characterize the operating status of multiple distribution network devices.

[0039] In an optional embodiment, in the process of monitoring the operating status of distribution network equipment, the operating status monitoring results of multiple distribution network equipment can be constructed by comprehensively analyzing and evaluating the operating years and fault conditions of the equipment, thereby obtaining the overall operating status of the equipment. By analyzing the service life of the equipment, the aging degree and remaining life of the equipment can be evaluated, and the equipment can be classified according to the design life and actual use of the equipment, such as normal operation, over-life operation, end of life, etc. The fault history and maintenance records of the equipment can be analyzed, and the number of faults, fault types, maintenance time and other information of the equipment can be counted to evaluate the reliability and stability of the equipment. Based on the operating years and fault conditions of the equipment, a monitoring model can be constructed, and the overall operating status evaluation results of the equipment can be obtained through data analysis and algorithm calculation. Statistical analysis, machine learning and other methods can be used to comprehensively evaluate the operating status of the equipment. According to the calculation results of the monitoring model, the operating status monitoring results of multiple distribution network equipment are output, usually in the form of indicators, scores, reports, etc. It can help operation and maintenance personnel to promptly discover equipment problems, prevent failures, and improve the reliability and safety of equipment. Through the implementation of the above steps, the operating status of multiple distribution network equipment can be comprehensively monitored and evaluated, providing strong support for equipment management and maintenance.

[0040] In an embodiment of the present invention, a method for monitoring the operating status of distribution network equipment is provided, including: obtaining equipment inventory data and operating fault data of multiple distribution network equipment in a distribution network line, wherein the equipment inventory data at least includes hardware parameter data of multiple distribution network equipment and setting parameter data of multiple distribution network equipment in the distribution network line, and the operating fault data at least includes fault condition data and fault processing data of multiple distribution network equipment; determining the operating age status of multiple distribution network equipment based on the equipment inventory data, and determining the equipment fault status of multiple distribution network equipment based on the operating fault data; constructing operating status monitoring results of multiple distribution network equipment based on the operating age status and the equipment fault status, wherein the operating status monitoring results are used to characterize the operating status of multiple distribution network equipment. It is easy to notice that the present application can obtain the hardware parameter data, setting parameter data, fault condition data and fault handling data of the distribution network equipment by acquiring the equipment inventory data and operation fault data of multiple distribution network equipment in the distribution network line. Based on the equipment inventory data, the operation age status of multiple distribution network equipment can be determined, and the use time and condition of the equipment can be understood. At the same time, based on the operation fault data, the equipment fault status of multiple distribution network equipment can be determined. By constructing the operation status monitoring results of multiple distribution network equipment, the operation status of the distribution network equipment can be effectively monitored and evaluated, potential problems can be discovered in time, and corresponding measures can be taken for maintenance and repair, thereby improving the operation efficiency and reliability of the distribution network equipment, and further solving the technical problem of low efficiency in monitoring the operation status of distribution network equipment in related technologies.

[0041] Optionally, the operating life status of multiple distribution network devices is determined based on the equipment inventory data, including: determining the current operating life of each of the multiple distribution network devices based on the setting parameter data; determining the operating life interval ratio of the multiple distribution network devices based on the hardware parameter data and a preset age interval set; determining the operating life status based on the current operating life and the operating life interval ratio.

[0042] In an optional embodiment, during the monitoring of the operating status of the distribution network equipment, the current operating life of each distribution network equipment in the multiple distribution network equipment can be determined based on the setting parameter data, the setting parameter data of each distribution network equipment can be collected, including information such as equipment model and installation time, and the expected operating life of each equipment can be determined based on the equipment model and installation time data, and the current operating life of each equipment can be calculated by monitoring the actual operating time of the equipment. The operating life interval proportions of multiple distribution network equipment can be determined based on the hardware parameter data and the preset age interval set, the hardware parameter data of each distribution network equipment, such as the working status, temperature, current and other information of the equipment, can be collected, and the operating life of each equipment can be divided into different intervals according to the hardware parameter data and the preset age interval set, and the proportion of each equipment in each age interval is calculated to determine the operating life interval proportion of the equipment. The operating life status can be determined based on the current operating life and the operating life interval proportion, and the current operating life and operating life interval proportion of each distribution network equipment can be comprehensively considered to obtain the operating life status of the equipment. According to the operating life status of the equipment, early warning, maintenance or replacement measures can be taken to ensure the normal operation and safety of the distribution network equipment. By implementing the above steps, the operating status of distribution network equipment can be accurately monitored and evaluated, problems can be discovered in time and corresponding measures can be taken, thereby improving the operating efficiency and reliability of distribution network equipment.

[0043] Optionally, the current service life of each distribution network device among multiple distribution network devices is determined based on the setting parameter data, including: obtaining the equipment commissioning time of each distribution network device in the setting parameter data, wherein the equipment commissioning time is used to indicate the time when each distribution network device is actually put into operation of the distribution network line; determining the current service life based on the current real-time time and the equipment commissioning time.

[0044] In an optional embodiment, during the distribution network equipment monitoring process, the specific implementation process of obtaining the equipment commissioning time of each distribution network device in the equipment setting parameter data is as follows: the setting parameter data of each distribution network device can be collected, including the equipment model, production date, commissioning date and other information; the equipment commissioning time of each distribution network device can be calculated based on the commissioning date in the collected setting parameter data; the equipment commissioning time is used to indicate the time when each distribution network device is actually put into operation in the distribution network line; the current real-time time can be obtained and combined with the calculated equipment commissioning time to determine the current operating life of each device; the operating life can refer to the operating life of the equipment from commissioning to the current time, which can be used to evaluate the operating status and remaining life of the equipment; through the above steps, the equipment commissioning time of each distribution network device in the setting parameter data can be obtained, and the current operating life of each device can be calculated based on the current real-time time, thereby realizing the monitoring and evaluation of the operating status of the distribution network equipment.

[0045] Optionally, based on the hardware parameter data and a set of preset life intervals, the operating life interval proportions of multiple distribution network devices are determined, including: obtaining the equipment design operating life of each distribution network device in the hardware parameter data; determining the operating life status based on the equipment design operating life, the total statistical number of equipment of multiple distribution network devices and the operating life interval proportions.

[0046] In an optional embodiment, during the monitoring process of the distribution network equipment, the hardware parameter data of each distribution network equipment can be collected, including information such as the equipment model, manufacturer, production date, and the designed operating life of the equipment. These data can be obtained through the equipment monitoring system, sensors and other equipment. According to the collected data, the distribution network equipment is classified according to the designed operating life of the equipment, such as 10 years, 15 years, 20 years, etc. Then the number of equipment in each operating life interval is counted, and the total statistical number and proportion of equipment in each interval are calculated. According to the designed operating life of the equipment, the total statistical number of equipment and the operating life interval proportion, the distribution of the number of equipment under different operating years can be determined, and the operating life status of the equipment can be analyzed to see whether it meets expectations. If the number of equipment in a certain operating life interval is too much or too little, it may mean that the equipment in the interval is abnormal or needs to be paid special attention. According to the analysis results, corresponding early warning mechanisms and optimization measures can be formulated to promptly discover and handle abnormal equipment operating life situations, and ensure the normal operation and safety of the distribution network equipment. Through the above implementation process, the operating life status of the distribution network equipment can be fully understood, potential problems can be discovered in time and measures can be taken to ensure the stable operation and reliability of the distribution network system.

[0047] Optionally, the equipment fault conditions of multiple distribution network devices are determined based on the operating fault data, including: based on the fault condition data, fault processing data and preset fault type, determining the target fault devices with the same fault type in the multiple distribution network devices; based on the target fault device and equipment ledger data, determining the equipment fault condition.

[0048] In an optional embodiment, the fault condition data can be classified and marked according to the preset fault type, and multiple distribution network devices with the same fault type can be determined as target fault devices by analyzing and comparing the fault condition data. The target fault device can be matched with the equipment ledger data to obtain detailed information of the target fault device, including the equipment model, installation location, operating parameters, etc. The specific fault condition of the target fault device is determined by combining the fault processing data and equipment ledger data of the target fault device, including the cause of the fault, the impact of the fault, and the fault repair measures. Through the above steps, the target fault devices with the same fault type in multiple distribution network devices can be effectively determined, and the specific fault conditions of these devices can be determined, providing an important reference for subsequent fault processing and equipment maintenance.

[0049] Optionally, based on the target faulty equipment and equipment inventory data, the equipment fault condition is determined, including: based on the target faulty equipment and equipment inventory data, determining the manufacturer information, equipment type information and equipment service life information of the target faulty equipment; based on the manufacturer information, equipment type information and equipment service life information, determining the equipment fault condition.

[0050] In an optional embodiment, during the monitoring of the operating status of the distribution network equipment, the manufacturer information, equipment type information and equipment service life information of the target faulty equipment can be determined, and the target equipment that needs to be diagnosed and analyzed can be determined based on the actual monitored fault information or abnormal equipment operation, and the manufacturer information, equipment type information and equipment service life information of the target equipment can be queried through the ledger data. This information helps to determine the basic properties and operating status of the equipment. According to the manufacturer information, equipment type information and equipment service life information of the equipment, combined with the actual fault situation, the fault condition of the equipment is judged, for example, whether the equipment is in its life span is judged according to the equipment service life information, the quality and reliability of the equipment is judged according to the manufacturer information, and the fault characteristics and common problems of the equipment are judged according to the equipment type information. Through the above steps, the manufacturer information, equipment type information and equipment service life information of the target faulty equipment can be determined, and then the fault condition of the equipment is determined, which provides an important reference basis for subsequent fault handling and maintenance work.

[0051] Figure 2 is a flow chart of an optional method for monitoring the operating status of distribution network equipment according to an embodiment of the present invention, such as Figure 2 As shown, step S202, obtaining equipment inventory data and operation fault data of multiple distribution network devices in the distribution network line; step S204, determining the current operating life of each distribution network device in the multiple distribution network devices based on the setting parameter data; determining the operating life interval ratio of multiple distribution network devices based on the hardware parameter data and the preset age interval set; determining the operating life status based on the current operating life and the operating life interval ratio; step S206, determining the target fault device with the same fault type in multiple distribution network devices based on the fault status data, fault processing data and preset fault type; determining the equipment fault status based on the target fault device and the equipment inventory data; step S208, constructing the operating status monitoring results of multiple distribution network devices based on the operating life status and the equipment fault status.

[0052] The technical solution proposed in this application is explained below in combination with an optional application scenario. As the end of the power system, the distribution network is directly responsible for supplying power to power customers. The equipment quality level of the distribution network directly affects the power supply reliability of power customers. In order to prevent the failure of distribution network equipment from affecting the power supply reliability of power customers, the relevant operation and maintenance personnel of the power supply company need to strengthen the monitoring of the operation of distribution network equipment, and promptly discover and handle equipment defects to prevent power outages caused by equipment failures. In the process of operation and maintenance management of distribution network equipment, the operation and maintenance personnel of the power supply company generally conduct regular inspections and management of distribution network equipment.

[0053] At present, in the process of operation and maintenance inspection and management of distribution network equipment, due to the lack of corresponding targeted data as support, operation and maintenance personnel are generally arranged to conduct regular operation and maintenance inspections of all distribution network equipment. Due to the large number of distribution network points and the large scale of equipment, the operation and maintenance inspection of distribution network equipment requires a lot of manpower and material resources. At the same time, due to the long inspection cycle, equipment defects of some key equipment cannot be discovered in time, resulting in power outages and affecting the power supply reliability of power customers.

[0054] Based on the above analysis, this application proposes a method for automatically revealing and analyzing the operating status of distribution network equipment. By analyzing and processing a large amount of distribution network equipment operating conditions and ledger data, the operating status of distribution network equipment is automatically revealed. For distribution network equipment with higher operating risks, targeted strengthening of operation and maintenance management is carried out to prevent distribution network failures, thereby improving the power supply reliability of distribution network equipment and the level of distribution network operation management, and enhancing the electricity customers' electricity satisfaction.

[0055] The present application discloses a method for automatically revealing and analyzing the operation status of distribution network equipment. The specific implementation process is as follows: data analysis of distribution network line equipment. Based on the asset management system, the equipment ledger data of the distribution network line power supply and the distribution network operation management system obtain the distribution network line equipment fault operation data, and perform relevant analysis.

[0056] Acquisition of distribution network line power supply equipment ledger data. Based on the asset management system, the distribution network power supply equipment ledger data is obtained. The distribution network equipment ledger data includes the name of the power room or branch line to which the equipment belongs, the district bureau to which the equipment belongs, the power supply station to which the equipment belongs, the substation to which the equipment belongs, the line to which the equipment belongs, the equipment name, the equipment number, the equipment commissioning date, the current status of the equipment, the equipment manufacturer name, and the equipment model. The distribution network equipment includes switches, distribution transformers, knife switches, cable joints, overhead line segments, cable segments, fault indicators, voltage transformers, lightning arresters, busbars, compensators, high-voltage motors, cable terminals, and station buildings.

[0057] Distribution network line equipment fault operation data. Based on the distribution network operation management system, the distribution network equipment fault operation data is obtained. The equipment fault operation data includes equipment fault log data and equipment fault processing data. The equipment fault log includes the work order number, trip switch, the distribution network line to which the trip switch belongs, the substation to which the trip switch belongs, the power supply station to which the trip switch belongs, the district bureau to which the trip switch belongs, and the switch trip time. The equipment fault processing data includes the work order number, the cause of the faulty equipment, the type of faulty equipment, the name of the faulty equipment, the model of the faulty equipment, the manufacturer of the faulty equipment, and the commissioning date of the faulty equipment.

[0058] Analysis of the operating life of distribution network equipment. Based on the distribution network power supply equipment ledger data of the asset management system, the operating life of each device is counted through the "equipment commissioning date" field, and the number of equipment with an operating life of 0-5 years, 5-10 years, 10-15 years, and more than 15 years and the corresponding proportion are counted according to the dimensions of the power supply station to which the equipment belongs and the district bureau to which the equipment belongs. Let the current year of the distribution network equipment be Y D , the equipment commissioning date belongs to the year Y S , the number of equipment during the operation period of the distribution network equipment is N Q , the total number of distribution network devices is N Z , then the operating life of the distribution network equipment is Y YX , the proportion of equipment quantity during the operation period of distribution network equipment N ZB The statistical formulas can be expressed as follows:

[0059] Y YX =Y D -Y S ;

[0060]

[0061] Analysis of distribution network fault equipment. Based on the distribution network operation management system, the "fault equipment cause" field information in the distribution network fault equipment data is obtained to count the types of distribution network fault equipment; at the same time, based on the "fault equipment commissioning date" field information in the distribution network fault equipment data, the operating years of the distribution network fault equipment are counted.

[0062] Statistics of distribution network fault equipment categories. Obtain the information in the "Fault Equipment Cause" field in the distribution network fault equipment data in the distribution network operation and management system, and count the causes of equipment failures by fault category. Fault equipment categories include: user equipment failure, external force damage, over-service aging, construction quality, product quality, natural disasters, operation and maintenance, unknown reasons, protection malfunction and refusal to operate, overload operation, moisture condensation, environmental pollution, improper design, and influence of upper power supply.

[0063] Statistics of the operating years of distribution network fault equipment. Obtain the "faulty equipment commissioning date" field of the distribution network fault equipment data in the distribution network operation management system, and perform corresponding processing to obtain the operating years data of the faulty equipment. And count the number of faulty equipment with an operating age of 0-5 years, 5-10 years, 10-15 years, and more than 15 years according to the district bureau to which the equipment belongs. Let the current year of the distribution network fault equipment be Y GD The year to which the faulty equipment was put into operation is Y GS , then the operating life of the faulty equipment in the distribution network is Y GYX The statistical formula is as follows:

[0064] Y GYX =Y GD -Y GS ;

[0065] Analysis of equipment with similar faults in the distribution network. The information of equipment with similar faults in the distribution network is obtained based on the equipment fault processing data obtained from the distribution network operation management system, and combined with the distribution network power supply equipment ledger data obtained from the asset management system, the analysis of equipment with similar faults in the distribution network is realized. The analysis of equipment with similar faults in the distribution network includes the analysis of the manufacturer, model and age of equipment with similar faults.

[0066] Analysis of the same faulty equipment manufacturer. Based on the distribution network operation management system, the "faulty equipment manufacturer" information in the distribution network faulty equipment data is obtained, and the data corresponding to the "equipment manufacturer name" field in the distribution network power supply equipment ledger data of the asset management system is associated with the corresponding "faulty equipment manufacturer" field information to obtain the same faulty equipment manufacturer data in the distribution network power supply equipment ledger data.

[0067] Analysis of the same fault equipment model. Based on the distribution network operation management system, the "faulty equipment manufacturer" and "faulty equipment model" information in the distribution network fault equipment data are obtained. By correlating the "faulty equipment manufacturer" and "faulty equipment model" field information with the data corresponding to the "equipment manufacturer name" and "equipment model" fields in the distribution network power supply equipment ledger data of the asset management system, the same fault equipment model data in the distribution network power supply equipment ledger data is obtained.

[0068] Analysis of the age of equipment with the same fault. Based on the distribution network operation management system, the information of "faulty equipment manufacturer" and "faulty equipment model" in the distribution network fault equipment data is obtained. By correlating the data corresponding to the year field information of "faulty equipment manufacturer", "faulty equipment model" and "faulty equipment commissioning date" in the distribution network power supply equipment ledger data of the asset management system, the age data of the equipment with the same fault in the distribution network power supply equipment ledger data is obtained.

[0069] Analysis of distribution network fault equipment manufacturers. Based on the "faulty equipment manufacturer" and "faulty equipment cause" field information of the distribution network fault equipment data obtained from the distribution network operation management system, and the "equipment manufacturer name" field information of the distribution network equipment ledger data through the asset management system, the total number of equipment and the total number of faulty equipment of each equipment manufacturer are counted through effective data association, as well as the number of faulty equipment of each fault category.

[0070] Statistics on the total number of equipment from equipment manufacturers. Based on the "Equipment Manufacturer Name" field information of the network distribution equipment ledger data in the asset management system, the total number of network distribution equipment from each equipment manufacturer is counted separately.

[0071] Statistics on the total number of faulty equipment by equipment manufacturer. Based on the "Faulty Equipment Manufacturer" field information of the distribution network faulty equipment data in the distribution network operation management system, the total number of distribution network faulty equipment of each equipment manufacturer is counted separately. At the same time, based on the fact that the "Faulty Equipment Cause" field of the distribution network faulty equipment data is not equal to "External Force Damage", the total number of distribution network faulty equipment of each equipment manufacturer excluding those damaged by external forces is counted.

[0072] Statistics on the number of faulty equipment of each fault category of equipment manufacturers. Based on the "faulty equipment manufacturer" and "faulty equipment cause" of the distribution network fault equipment in the distribution network operation management system, the number of faulty equipment of each fault category of equipment manufacturers is counted. The categories of distribution network fault equipment include: user equipment failure, external force damage, over-service aging, construction quality, product quality, natural disasters, operation and maintenance, unknown reasons, protection malfunction and refusal to operate, overload operation, moisture condensation, environmental pollution, improper design, and influence of upper power supply. At the same time, based on the fact that the "faulty equipment cause" field of the distribution network fault equipment data is not equal to "external force damage", the number of faulty equipment of each fault category of the equipment manufacturer is counted.

[0073] Output of distribution network equipment operation results. Output data such as the distribution network equipment operation years analysis results, distribution network fault equipment situation analysis results, distribution network fault equipment of the same type analysis results, distribution network fault equipment manufacturer analysis results, etc.

[0074] Analysis results of the operating life of distribution network equipment. Taking district bureaus and power supply as units, the total number of distribution network equipment, the total number and proportion of equipment with an operating life of 0-5 years, the total number and proportion of equipment with an operating life of 5-10 years, the total number and proportion of equipment with an operating life of 10-15 years, and the total number and proportion of equipment with an operating life of more than 15 years are analyzed respectively.

[0075] Results of distribution network fault equipment situation analysis. Output the number of distribution network fault equipment in each district and power supply station based on user equipment failure, external force damage, over-service aging, construction quality, product quality, natural disasters, operation and maintenance, unknown reasons, protection malfunction and refusal to operate, overload operation, moisture condensation, environmental pollution, improper design, and influence of upper power supply. And output the total number of distribution network fault equipment in each district and power supply station, the total number of fault equipment with 0-5 years of operation, the total number of fault equipment with 5-10 years of operation, the total number of fault equipment with 10-15 years of operation, and the total number of fault equipment with more than 15 years of operation.

[0076] Analysis results of equipment with the same type of faults in the distribution network. Output data such as equipment name, equipment room or branch line name, equipment GISID, equipment code, equipment commissioning date, equipment manufacturer name, equipment model, etc., based on the dimensions of equipment manufacturer, equipment model, and equipment age.

[0077] Analysis results of equipment manufacturers for distribution network failures. Output the total number of distribution network equipment and the total number of equipment failures by equipment manufacturer, and output the number of equipment from each equipment manufacturer by fault categories such as user equipment failure, external force damage, over-service aging, construction quality, product quality, natural disasters, operation and maintenance, unknown reasons, protection malfunction and refusal to operate, overload operation, moisture condensation, environmental pollution, improper design, and upper power supply influence.

[0078] The present application proposes a method for automatically revealing and analyzing the operating status of distribution network equipment. The application is based on the distribution network equipment ledger data of the asset management system and the distribution network operation data of the distribution network operation management system, and realizes the automatic disclosure of the operating years of the distribution network equipment, the automatic analysis of the distribution network fault equipment status, the same type of faulty equipment in the distribution network, the equipment manufacturer's fault status and other related data. It reveals the operating status of the distribution network equipment from multiple dimensions and realizes the automatic presentation of the defects of the distribution network equipment. It provides data support for the daily operation and maintenance management of the distribution network, improves the power supply reliability of the distribution network, and has a good prospect for promotion and application in all power supply enterprises.

[0079] According to another aspect of an embodiment of the present invention, a device for monitoring the operating status of distribution network equipment is also provided. The device can execute the method for monitoring the operating status of distribution network equipment in the above embodiment. The specific implementation method and preferred application scenario are the same as those in the above embodiment and will not be repeated here.

[0080] Figure 3 is a schematic diagram of a monitoring device for the operating status of a distribution network device according to an embodiment of the present application, such as Figure 3 As shown, the device includes the following: an acquisition module 302 , a determination module 304 and a construction module 306 .

[0081] Among them, the acquisition module is used to obtain the equipment inventory data and operation fault data of multiple distribution network devices in the distribution network line, wherein the equipment inventory data at least includes the hardware parameter data of multiple distribution network devices and the setting parameter data of multiple distribution network devices in the distribution network line, and the operation fault data at least includes the fault status data and fault processing data of multiple distribution network devices; the determination module is used to determine the operating years of multiple distribution network devices based on the equipment inventory data, and determine the equipment fault status of multiple distribution network devices based on the operation fault data; the construction module is used to construct the operation status monitoring results of multiple distribution network devices based on the operating years and equipment fault status, wherein the operation status monitoring results are used to characterize the operation status of multiple distribution network devices.

[0082] Among them, the determination module is also used to determine the current operating life of each distribution network device among multiple distribution network devices based on the setting parameter data; determine the operating life interval ratio of multiple distribution network devices based on the hardware parameter data and the preset life interval set; determine the operating life status based on the current operating life and the operating life interval ratio.

[0083] Among them, the determination module is also used to obtain the equipment commissioning time of each distribution network equipment in the setting parameter data, wherein the equipment commissioning time is used to indicate the time when each distribution network equipment is actually put into operation of the distribution network line; the current operating life is determined based on the current real-time time and the equipment commissioning time.

[0084] Among them, the determination module is also used to obtain the equipment design operating life of each distribution network equipment in the hardware parameter data; based on the equipment design operating life, the total statistical number of equipment of multiple distribution network equipment and the proportion of operating life intervals, the operating life status is determined.

[0085] Among them, the determination module is also used to determine the target faulty equipment with the same fault type in multiple distribution network devices based on the fault status data, fault processing data and preset fault type; and determine the equipment fault status based on the target faulty equipment and equipment ledger data.

[0086] Among them, the determination module is also used to determine the manufacturer information, equipment type information and equipment service life information of the target faulty equipment based on the target faulty equipment and equipment ledger data; based on the manufacturer information, equipment type information and equipment service life information, determine the equipment failure condition.

[0087] An embodiment of the present application further provides an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the method in each embodiment of the present invention is executed when the program is running.

[0088] The above-mentioned memory may refer to a device inside a computer for storing data and programs, and may include memory, hard disk, etc., wherein the memory may be used to temporarily store running programs and data, the hard disk may be used to store programs and data for a long time, and the memory may be used to enable the computer to read and write data, and execute programs; the above-mentioned processor may be responsible for executing instructions in computer programs and performing data processing, and may be responsible for controlling and executing various operations, including arithmetic operations, logical operations, data transmission, etc.

[0089] An embodiment of the present application further provides a computer-readable storage medium, which includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0090] The above-mentioned computer storage medium may refer to a medium in a computer memory used to store certain discontinuous physical quantities. Computer storage media mainly include semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser disks, etc.; the stored program included in the computer-readable storage medium may be a set of instructions that can be recognized and executed by a computer, running on an electronic computer, and is an information tool that meets certain needs of people.

[0091] An embodiment of the present application further provides a computer program product, including a computer program, which implements the methods in various embodiments of the present invention when executed by a processor.

[0092] The above-mentioned computer program product may refer to a software program that has been written, tested and released and can be run on a computer or other device. The computer program product may include an application, an operating system, tool software, etc., which is used to implement specific functions or solve specific problems.

[0093] An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0094] The above-mentioned non-volatile computer-readable storage medium may refer to a medium for storing data. The non-volatile computer-readable storage medium can keep the data from being lost when the power is off, and can be used to store long-term data, such as operating systems, applications, and user files. The non-volatile storage medium may include hard disk drives, solid-state drives, optical disks, and flash memory storage devices, etc.

[0095] The embodiments of the present application further provide a computer program, which implements the methods in the above-mentioned embodiments of the present invention when executed by a processor.

[0096] The above-mentioned computer program may refer to a collection of instructions used to tell a computer to perform a specific task or operation. A computer program may be written by a programmer using a specific programming language and may include algorithms, data structures, logic, and control flows. A computer program may be used for a variety of purposes, including application software, operating systems, and the like.

[0097] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0098] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0099] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0100] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0101] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0102] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for monitoring the operating status of distribution network equipment, characterized in that: include: Obtaining equipment inventory data and operation fault data of multiple distribution network devices in the distribution network line, wherein the equipment inventory data at least includes hardware parameter data of the multiple distribution network devices and setting parameter data of the multiple distribution network devices in the distribution network line, and the operation fault data at least includes fault status data and fault handling data of the multiple distribution network devices; Determine the operating age of the plurality of distribution network devices based on the equipment inventory data, and determine the equipment failure status of the plurality of distribution network devices based on the operating failure data; Based on the operating years and the equipment failure conditions, operating status monitoring results of the multiple distribution network devices are constructed, wherein the operating status monitoring results are used to characterize the operating conditions of the multiple distribution network devices.

2. The method for monitoring the operating status of distribution network equipment according to claim 1, characterized in that: Determining the operating age of the plurality of distribution network devices based on the equipment ledger data includes: Determine the current operating life of each of the plurality of distribution network devices based on the setting parameter data; Based on the hardware parameter data and the preset age interval set, determining the operating age interval proportions of the plurality of distribution network devices; Based on the current operating life and the operating life interval ratio, the operating life status is determined.

3. The method for monitoring the operating status of distribution network equipment according to claim 2, characterized in that: Determining the current operating life of each of the plurality of distribution network devices based on the setting parameter data includes: Obtaining the equipment commissioning time of each distribution network device in the setting parameter data, wherein the equipment commissioning time is used to indicate the time when each distribution network device is actually put into operation of the distribution network line; The current operating life is determined based on the current real time and the equipment commissioning time.

4. The method for monitoring the operating status of distribution network equipment according to claim 2, characterized in that: Based on the hardware parameter data and the preset age interval set, determining the operating age interval proportions of the plurality of distribution network devices includes: Obtain the equipment design operating life of each distribution network equipment described in the hardware parameter data; The operating life status is determined based on the designed operating life of the equipment, the total statistical number of the multiple distribution network devices and the proportion of the operating life intervals.

5. The method for monitoring the operating status of distribution network equipment according to claim 1, characterized in that: Determining the device fault status of the plurality of distribution network devices based on the operation fault data includes: Based on the fault condition data, the fault processing data and the preset fault type, determining a target fault device with the same fault type among the multiple distribution network devices; Based on the target faulty device and the device inventory data, the device fault condition is determined.

6. The method for monitoring the operating status of distribution network equipment according to claim 5, characterized in that: Determining the device failure status based on the target faulty device and the device ledger data includes: Based on the target faulty device and the device ledger data, determine the manufacturer information, device type information and device service life information of the target faulty device; The equipment failure status is determined based on the manufacturer information, the equipment type information and the equipment service life information.

7. A monitoring device for the operating status of distribution network equipment, characterized in that: include: An acquisition module, used to acquire equipment ledger data and operation fault data of multiple distribution network devices in the distribution network line, wherein the equipment ledger data at least includes hardware parameter data of the multiple distribution network devices and setting parameter data of the multiple distribution network devices in the distribution network line, and the operation fault data at least includes fault status data and fault handling data of the multiple distribution network devices; A determination module, configured to determine the operating age of the plurality of distribution network devices based on the equipment inventory data, and determine the equipment fault status of the plurality of distribution network devices based on the operating fault data; A construction module is used to construct operation status monitoring results of the multiple distribution network devices based on the operation years and the equipment failure conditions, wherein the operation status monitoring results are used to characterize the operation status of the multiple distribution network devices.

8. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein when the program is running, the method for monitoring the operating status of the distribution network equipment described in any one of claims 1 to 6 is executed.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the storage medium is located is controlled to execute the method for monitoring the operating status of the distribution network equipment according to any one of claims 1 to 6.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the method for monitoring the operating status of distribution network equipment according to any one of claims 1 to 6.

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