Substation digital twin system-based secondary system inspection method

Abstract

The invention discloses a secondary system inspection method based on a transformer substation digital twin system, and belongs to the technical field of secondary system inspection, and the method comprises the steps: obtaining transformer substation real-time data needed by secondary system inspection based on a data transmission channel of the transformer substation digital twin system and a scheduling platform; constructing a secondary system inspection flow; performing secondary system inspection according to the secondary system inspection process based on the real-time data of the transformer substation, and obtaining a secondary system state inspection result; the method further comprises the steps of constructing a data accumulation model based on the real-time data of the transformer substation; and performing secondary system state trend prediction according to the data accumulation model to obtain a secondary system state trend prediction result. According to the method, the efficiency and accuracy of secondary system inspection can be improved, and digital secondary system inspection is realized.

Description

Technical Field

[0001] The invention relates to a secondary system inspection method based on a substation digital twin system, belonging to the technical field of secondary system inspection. Background Art

[0002] Secondary system inspection plays a vital role in the safe and stable operation of the power grid. As an important part of the power system, the substation undertakes the important task of voltage regulation. The normal operation of secondary equipment is directly related to the stability and efficiency of the power system.

[0003] Secondary equipment includes protection devices, control devices, metering devices, etc., which are easily affected by various factors during operation, such as environmental factors, power load changes, and equipment aging. Inspection of secondary equipment can detect potential faults and hidden dangers and avoid the impact of secondary equipment failures on the power system.

[0004] The existing secondary system inspection method has the following defects: (1) Low efficiency of manual inspection: Traditional manual inspection methods require inspectors to personally go to the site for inspection, which is not only time-consuming and labor-intensive, but also inefficient. As the scale of secondary systems continues to expand, the carrying capacity of manual inspections has gradually become insufficient.

[0005] (2) Data credibility is low: Manual inspections are highly dependent on the professional level and work experience of the inspectors, which increases the human interference factor. At the same time, due to the long inspection cycle and slow information collection, the integrity and accuracy of the inspection data are difficult to control, and the data quality cannot be guaranteed.

[0006] (3) Backward digitalization of information: Traditional inspection teams usually use paper materials as information carriers, which makes data statistical analysis difficult and the degree of digital management low. It is impossible to conduct in-depth mining and analysis of massive data, which affects the improvement of inspection results.

[0007] (4) Difficulty in controlling safety costs: Operation and maintenance personnel have to travel back and forth between substations to conduct manual inspections, which not only increases traffic safety risks along the way, but also results in a huge waste of time and vehicles.

[0008] Therefore, there is an urgent need for an efficient, accurate and digital secondary system inspection method. Summary of the invention

[0009] The object of the present invention is to provide a secondary system inspection method based on a substation digital twin system, which can improve the efficiency and accuracy of secondary system inspection and realize digital secondary system inspection.

[0010] In order to achieve the above object, the present invention provides the following technical solutions: A secondary system inspection method based on a substation digital twin system, comprising: Based on the data transmission channel between the substation digital twin system and the dispatching platform, obtain the real-time substation data required for secondary system inspection; Construct secondary system inspection process; Based on the real-time data of the substation, conduct secondary system inspection according to the secondary system inspection process and obtain the secondary system status inspection results; Also includes: Build a data accumulation model based on real-time data from substations; The secondary system state trend is predicted according to the data accumulation model to obtain the secondary system state trend prediction result.

[0011] Combined with the first aspect, further, the data transmission channel between the substation digital twin system and the dispatching platform includes: The file or data interface between the substation digital twin system and the control center D5000 system is used to obtain real-time production and operation data of the substation; The file or data interface between the substation digital twin system and the protection information master station system is used to obtain real-time protection information data of the substation; The file or data interface between the substation digital twin system and the fault recording system is used to obtain real-time fault data of the substation; The file or data interface between the substation digital twin system and the video surveillance system is used to obtain real-time monitoring data of the substation.

[0012] Combined with the first aspect, the secondary system inspection process further includes: Patrol task configuration stage: configure patrol task parameters according to operation and maintenance requirements; patrol task parameters include patrol equipment range, patrol object category, patrol strategy, patrol cycle and patrol result push requirements; Data collection stage: According to the patrol task parameters and the relationship between the data source and the patrol object, target data is collected from the control center D5000 system, protection information master station system, fault recording system and video monitoring system at the specified time; Data cleaning stage: clean the target data according to the data attribute rules of various patrol objects; Data analysis stage: According to the inspection strategy, the cleaned target data is compared with their respective reference values ​​or reference ranges to determine whether there are any abnormalities in the inspection object and obtain the secondary system status inspection results; Inspection result push stage: each inspection result is pushed in the form of an inspection report; the inspection report includes inspection time, inspection equipment, abnormal situation statistics, real-time value records of target data, reference value records of target data and suggestions for handling abnormal situations.

[0013] Combined with the first aspect, the secondary system inspection process further includes: User login and permission verification stage: User login and permission verification are performed based on the user name and password.

[0014] Combined with the first aspect, the secondary system inspection process further includes: Data association configuration stage: According to the actual situation of each substation, the relevant attributes and categories of the data source are processed to obtain the association relationship between the data source and the patrol object.

[0015] In combination with the first aspect, further, the patrol objects include air switches, hard pressure plates, indicator lights, fixed values, soft pressure plates and telemetry real-time values.

[0016] Combined with the first aspect, further, the patrol strategy of the air switch includes: if only the air switch of a single secondary device is in the open position, it is determined that the DC power circuit of the secondary device is faulty; if the air switches of multiple secondary devices or multiple cabinets are in the open position at the same time, it is determined that the DC power circuit is mixed or the cable channel is faulty due to external force; if all air switches are in the closed position and the secondary device power failure abnormal information is reported, it is determined that the DC power circuit is normal and the power module is faulty; The inspection strategy of the hard pressure plate includes: before and after the secondary equipment is put into operation, the on-site hard pressure plate launch and retreat status is compared with the preset hard pressure plate status in the operation procedures to determine whether the on-site hard pressure plate launch and retreat status is correct; before and after the secondary equipment is overhauled, the launch and retreat status of each related hard pressure plate in the overhaul interval is compared to determine whether the launch and retreat status of each related hard pressure plate in the overhaul interval is correct; determine whether the launch and retreat status of the hard pressure plate is correct based on the correlation relationship between the secondary equipment status parameters; The inspection strategy of the indicator lights includes: comparing the signal value of the alarm indicator lights with the unified reference value to determine whether the secondary equipment is faulty; comparing the signal value of the status indicator lights with the corresponding real-time value of the signal to determine whether the secondary equipment is faulty; The inspection strategy of the fixed value and soft pressure plate includes: comparing the real-time value of the fixed value and soft pressure plate with the fixed value list to determine whether the secondary equipment is faulty; comparing the real-time value of the fixed value and soft pressure plate with the set value of the fixed value setting system to determine whether the secondary equipment is faulty; The patrol strategy of the real-time value of telemetry includes: when the telemetry is voltage, the real-time value of the telemetry is compared with the preset reference range to determine whether the secondary equipment is faulty; when the telemetry is temperature or light intensity, the difference between the current real-time value of the telemetry and the previous real-time value of the telemetry is compared with the preset threshold to determine whether the secondary equipment is faulty; for dual-configuration protection devices, intelligent terminals and process-layer equipment, the data sampling and data transmission channels are determined to be faulty through homologous comparison.

[0017] In combination with the first aspect, further, in the patrol strategy of the air switch, the state of the air switch is transmitted to the substation digital twin system by the air switch position auxiliary contact; wherein the state of the air switch includes the air switch in the open position or the air switch in the closed position; In the inspection strategy of the hard pressure plate, the status of the hard pressure plate is transmitted from the hard pressure plate status online monitoring system to the substation digital twin system; In the inspection strategy of indicator lights, the indicator light images are collected by a rail-lifting camera and transmitted to the substation digital twin system for image recognition to obtain the indicator light status; among them, the indicator light status includes the alarm indicator light signal value and the status indicator light signal value.

[0018] Combined with the first aspect, further, the data accumulation model includes four dimensions: attachment status, operation status, self-check status and basic information; Among them, the accessory status dimension describes whether there are any abnormal conditions in the peripheral auxiliary equipment of the secondary equipment. The accessory status includes the status of the air switch and the status of the hard pressure plate. Among them, the status of the air switch is obtained from the D5000 system of the control center, and the status of the hard pressure plate is obtained from the protection information master station system. The operating status dimension describes whether there are abnormal conditions in the external input and configuration options of the secondary equipment. The operating status includes the fixed value status, soft pressure plate status, communication status and telemetry status. Among them, the fixed value status and soft pressure plate status are obtained from the protection information master station system, and the communication status and telemetry status are obtained from the control center D5000 system and the protection information master station system at the same time. The self-test status dimension describes whether there are abnormalities in the software or hardware inside the secondary device. The self-test status includes the temperature, indicator light status, channel light intensity and other self-test signals of the secondary device. Among them, the temperature, channel light intensity and other self-test signals of the secondary device are obtained from the protection information master station system, and the indicator light status is obtained from the video monitoring system; The basic information dimension describes the inherent properties of the secondary equipment. The basic information includes the model of the secondary equipment, the bay to which it belongs, the panel cabinet to which it belongs, the substation to which it belongs, the manufacturer, the operating status, the associated spare parts number and the production date.

[0019] In combination with the first aspect, further, performing secondary system state trend prediction based on the data accumulation model includes: According to the data accumulation model, the self-inspection status trend of the secondary equipment is predicted by using the time series analysis method to obtain the prediction result of the self-inspection status trend of the secondary equipment; According to the data accumulation model, the radar chart analysis method is used to predict the status trend of a single secondary device to obtain the prediction result of the status trend of a single secondary device; According to the data accumulation model, the artificial neural network analysis method is used to predict the state trend of secondary equipment that lacks fault samples, and the state trend prediction results of secondary equipment that lacks fault samples are obtained.

[0020] Compared with the prior art, the present invention has the following beneficial effects: The secondary system inspection method based on the digital twin system of the substation provided by the present invention constructs a data transmission channel between the digital twin system of the substation and the dispatching platform, obtains the real-time data of the substation required for the secondary system inspection, and solves the problem of cross-regional data transmission in the power system network. Constructing a secondary system inspection process to conduct secondary system inspections and obtain secondary system status inspection results can simplify the secondary system inspection process and improve the efficiency of secondary system inspections. Based on the real-time data of the substation obtained from the data transmission channel between the digital twin system of the substation and the dispatching platform, a data accumulation model is constructed to ensure the authenticity and timeliness of the secondary system inspection and improve the accuracy of the secondary system inspection. According to the data accumulation model, the secondary system status trend is predicted, and the secondary system status trend prediction results are obtained, so that users can arrange preventive maintenance work in advance, effectively ensure the safe and stable operation of the secondary system, and provide scientific and accurate technical support for timely discovery of equipment abnormalities, prediction of equipment degradation trends, and auxiliary abnormal diagnosis and disposal. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 Schematic diagram of the network structure of the substation digital twin system provided by an embodiment of the present invention; Figure 2 is a workflow diagram of a secondary system inspection provided by an embodiment of the present invention; Figure 3 is a structural diagram of a data accumulation model provided by an embodiment of the present invention; Figure 4 It is a scatter plot of device temperature in the time series analysis method provided by an embodiment of the present invention; Figure 5 It is a radar chart of device status in the radar chart analysis method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The technical solution of the present application is further described in detail below in conjunction with specific implementation methods.

[0023] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and should not be construed as limitations on the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments may be combined with each other.

[0024] Embodiment 1: This embodiment provides a secondary system inspection method based on a substation digital twin system, including: Based on the data transmission channel between the substation digital twin system and the dispatching platform, obtain the real-time substation data required for secondary system inspection; Construct secondary system inspection process; Based on the real-time data of the substation, conduct secondary system inspection according to the secondary system inspection process and obtain the secondary system status inspection results; Also includes: Build a data accumulation model based on real-time data from substations; The secondary system state trend is predicted according to the data accumulation model to obtain the secondary system state trend prediction result.

[0025] The secondary system inspection method based on the substation digital twin system provided in this embodiment constructs a data transmission channel between the substation digital twin system and the dispatching platform, obtains the real-time substation data required for the secondary system inspection, and solves the problem of cross-regional data transmission in the power system network. Constructing a secondary system inspection process to conduct secondary system inspections and obtain secondary system status inspection results can simplify the secondary system inspection process and improve the efficiency of secondary system inspections. Based on the real-time substation data obtained from the data transmission channel between the substation digital twin system and the dispatching platform, a data accumulation model is constructed to ensure the authenticity and timeliness of the secondary system inspection and improve the accuracy of the secondary system inspection. According to the data accumulation model, the secondary system status trend is predicted, and the secondary system status trend prediction results are obtained, so that users can arrange preventive maintenance work in advance, effectively ensure the safe and stable operation of the secondary system, and provide scientific and accurate technical support for timely discovery of equipment abnormalities, prediction of equipment degradation trends, and auxiliary abnormal diagnosis and disposal.

[0026] Embodiment 2: This embodiment provides a secondary system inspection method based on a substation digital twin system. On the basis of Embodiment 1, the secondary system inspection method based on a substation digital twin system provided in this embodiment specifically includes the following steps: Step 1: Based on the data transmission channel between the substation digital twin system and the dispatching platform, obtain the substation real-time data required for secondary system inspection; In this embodiment, the data transmission channel between the substation digital twin system and the dispatching platform specifically includes: The file or data interface between the substation digital twin system and the control center D5000 system is used to obtain real-time production and operation data of the substation; The file or data interface between the substation digital twin system and the protection information master station system is used to obtain real-time protection information data of the substation; The file or data interface between the substation digital twin system and the fault recording system is used to obtain real-time fault data of the substation; The file or data interface between the substation digital twin system and the video surveillance system is used to obtain real-time monitoring data of the substation.

[0027] Step 2: Build a secondary system inspection process; In this embodiment, the secondary system inspection process specifically includes: ① User login and permission verification stage: User login and permission verification are performed based on the user name and password; ②Data association configuration stage: According to the actual situation of each substation, the relevant attributes and categories of the data source are processed to obtain the association relationship between the data source and the patrol object; ③ Patrol task configuration stage: configure patrol task parameters according to operation and maintenance requirements; patrol task parameters include patrol equipment scope, patrol object category, patrol strategy, patrol cycle and patrol result push requirements; In this embodiment, the patrol objects specifically include air switches, hard pressure plates, indicator lights, fixed values, soft pressure plates and telemetry real-time values.

[0028] The inspection strategy of the air switch specifically includes: if only the air switch of a single secondary device is in the open position, the DC power circuit of the secondary device is determined to be faulty; if the air switches of multiple secondary devices or multiple cabinets are in the open position at the same time, it is determined that the DC power circuit is mixed or the cable channel is faulty due to external forces; if all the air switches are in the closed position and abnormal power loss information of the secondary device is reported, it is determined that the DC power circuit is normal and the power module is faulty.

[0029] In the patrol strategy of the air switch, the air switch status is transmitted to the substation digital twin system by the air switch position auxiliary contacts; among them, the air switch status includes the air switch in the open position or the air switch in the closed position.

[0030] The inspection strategy of the hard pressure plate specifically includes: before and after the secondary equipment is put into operation, the on-site hard pressure plate's throw-in and throw-out status is compared with the preset hard pressure plate status in the operating procedures to determine whether the on-site hard pressure plate's throw-in and throw-out status is correct; before and after the secondary equipment is overhauled, the relevant hard pressure plate's throw-in and throw-out status within the overhaul interval is compared to determine whether the relevant hard pressure plate's throw-in and throw-out status within the overhaul interval is correct; and whether the hard pressure plate's throw-in and throw-out status is correct is determined based on the correlation between the secondary equipment status parameters.

[0031] In the inspection strategy of the hard pressure plate, the status of the hard pressure plate is transmitted from the hard pressure plate status online monitoring system to the substation digital twin system.

[0032] The patrol strategy of the indicator light specifically includes: comparing the signal value of the alarm indicator light with the unified reference value to determine whether the secondary equipment is faulty; comparing the signal value of the status indicator light with the corresponding real-time value of the signal to determine whether the secondary equipment is faulty.

[0033] In the inspection strategy of indicator lights, the indicator light images are collected by a rail-lifting camera and transmitted to the substation digital twin system for image recognition to obtain the indicator light status; among them, the indicator light status includes the alarm indicator light signal value and the status indicator light signal value.

[0034] The inspection strategy of the set value and the soft pressure plate specifically includes: comparing the real-time value of the set value and the soft pressure plate with the set value list to determine whether the secondary equipment is faulty; comparing the real-time value of the set value and the soft pressure plate with the set value of the set value setting system to determine whether the secondary equipment is faulty.

[0035] The patrol strategy of the real-time value of telemetry includes: when the telemetry is voltage, the real-time value of the telemetry is compared with the preset reference range to determine whether the secondary equipment is faulty; when the telemetry is temperature or light intensity, the difference between the current real-time value of the telemetry and the previous real-time value of the telemetry is compared with the preset threshold to determine whether the secondary equipment is faulty; for dual-configuration protection devices, intelligent terminals and process-layer equipment, the data sampling and data transmission channels are determined to be faulty through homologous comparison.

[0036] ④Data collection stage: According to the patrol task parameters and the relationship between the data source and the patrol object, at the specified time, the target data is collected from the control center D5000 system, protection information master station system, fault recording system and video monitoring system; ⑤Data cleaning stage: clean the target data according to the data attribute rules of various patrol objects; ⑥ Data analysis stage: According to the inspection strategy, the cleaned target data is compared with their respective reference values ​​or reference ranges to determine whether there are any abnormalities in the inspection object and obtain the secondary system status inspection results; ⑦ Inspection result push stage: each inspection result will be pushed in the form of an inspection report; the inspection report includes inspection time, inspection equipment, abnormal situation statistics, real-time value records of target data, reference value records of target data and suggestions for handling abnormal situations.

[0037] Step 3: Based on the real-time data of the substation, perform secondary system inspection according to the secondary system inspection process to obtain the secondary system status inspection results; Step 4: Build a data accumulation model based on real-time data of substations; In this embodiment, the data accumulation model specifically includes four dimensions: attachment status, operation status, self-check status and basic information.

[0038] The accessory status dimension describes whether there are any abnormal conditions in the peripheral auxiliary equipment of the secondary equipment. The accessory status includes the air switch status and the hard pressure plate status. Among them, the air switch status is obtained from the D5000 system of the control center, and the hard pressure plate status is obtained from the protection information master station system.

[0039] The operating status dimension describes whether there are any abnormal conditions in the external input and configuration options of the secondary equipment. The operating status includes the set value status, soft pressure plate status, communication status and telemetry status; among them, the set value status and soft pressure plate status are obtained from the protection information master station system, and the communication status and telemetry status are obtained from both the control center D5000 system and the protection information master station system.

[0040] The self-test status dimension describes whether there are abnormal conditions in the software or hardware inside the secondary device. The self-test status includes the temperature, indicator light status, channel light intensity and other self-test signals of the secondary device. Among them, the temperature, channel light intensity and other self-test signals of the secondary device are obtained from the protection information master station system, and the indicator light status is obtained from the video surveillance system.

[0041] The basic information dimension describes the inherent properties of the secondary equipment. The basic information includes the model of the secondary equipment, the bay to which it belongs, the panel cabinet to which it belongs, the substation to which it belongs, the manufacturer, the operating status, the associated spare parts number and the production date.

[0042] Step 5: Predict the secondary system state trend based on the data accumulation model and obtain the secondary system state trend prediction result.

[0043] In this embodiment, performing secondary system state trend prediction according to the data accumulation model specifically includes: According to the data accumulation model, the self-inspection status trend of the secondary equipment is predicted by using the time series analysis method to obtain the prediction result of the self-inspection status trend of the secondary equipment; According to the data accumulation model, the radar chart analysis method is used to predict the status trend of a single secondary device to obtain the prediction result of the status trend of a single secondary device; According to the data accumulation model, the artificial neural network analysis method is used to predict the state trend of secondary equipment that lacks fault samples, and the state trend prediction results of secondary equipment that lacks fault samples are obtained.

[0044] Embodiment 3: This embodiment provides a secondary system inspection method based on a substation digital twin system. Based on Embodiment 2, the network structure of the substation digital twin system is as follows: Figure 1 shown.

[0045] In this embodiment, Figure 1As shown in the figure, the B / S architecture mode is adopted, and the system server is deployed in the control center to collect real-time production and operation data, protection information data, monitoring video data and other information. The specified data is analyzed in real time by computer programs, and the inspection and verification of objects such as intelligent devices, indicator lights, air switches, hard pressure plates, fixed values, soft pressure plates, device temperature, light intensity, voltage and current measurement values ​​are completed. Relying on user authority management, any computer with browser software in the local area network can access the digital twin system. The telecontrol device in the substation collects the signals sent by the protection and measurement and control devices. Through the IEC101 / 104 protocol, communication is established with the D5000 system of the control center in Zone I, and secondary equipment data information such as the air switch status, voltage and current measurement values ​​of the secondary system equipment is sent. The D5000 system in Zone I synchronizes data with Zone III through the forward isolation device, and the D5000 system in Zone III sends data to the digital twin system through files or data interfaces.

[0046] The Baoxin substation in the substation collects data sent by the protection device and the pressure plate centralized monitoring host. Through the State Grid 103 protocol, communication is established with the Baoxin master station system of the control center in Area II, and data information of the protection device such as the hard pressure plate status, set value, soft pressure plate status, device temperature, and light intensity are sent. The Baoxin master station in Area II synchronizes data with Area III through the forward isolation device, and the Baoxin master station in Area III interacts with the digital twin system through files or data interfaces. The Baoxin master station in Area III provides a data call interface, and the digital twin system issues a call data command. After receiving the command, the Baoxin master station transmits it to the Baoxin master station in Area II through the reverse isolation device. The Baoxin master station in Area II retrieves real-time information from the Baoxin substation and sends it to the digital twin system. A guide rail mobile lifting camera is installed in the substation, and the video monitoring substation in the station collects image information, including real-time images of the device panel, etc., and sends it to the unified video platform of the integrated data network through the video network firewall. The unified video platform interacts with the digital twin system through the data interface. The digital twin system is arranged in Zone III. It queries the D5000 system, security system, and video surveillance system for real-time data through the data interface, and outputs patrol reports after analysis. Users access the digital twin system through the firewall at the workstation in Zone IV.

[0047] The digital twin system is a system that digitally models the actual operation of the substation, thereby simulating and predicting the operation status and performance of the substation in real time. Through simulation, the digital twin system can help operation and maintenance personnel better understand the operation of the substation, discover potential problems in a timely manner, and make targeted adjustments and optimizations. Compared with traditional manual management, the digital twin system can provide more efficient and accurate operation and maintenance strategies, and improve the safety and reliability of the substation.

[0048] The key technology to realize the digital twin system lies in data collection and processing. Through sensors and other equipment, the digital twin system can collect various data of the substation in real time, including voltage, current, temperature and other parameters. After processing and analysis, these data can generate an accurate substation model and update it in real time. At the same time, the digital twin system can also access multiple information sources such as historical data and weather data to improve the accuracy and credibility of the model.

[0049] In the digital twin system, intelligent algorithms also play a key role. Through machine learning and artificial intelligence technology, the digital twin system can automatically learn and optimize the operation and maintenance strategy of the substation. The system can analyze historical operation and maintenance data, predict possible problems in the future, and provide corresponding solutions. Operation and maintenance personnel can make adjustments and optimizations based on the system's suggestions, thereby improving the operating efficiency and sustainability of the substation.

[0050] The digital twin system can also be interconnected with other intelligent devices and systems to achieve a higher level of intelligent management. For example, the digital twin system can interact with smart sensors and smart devices to detect anomalies and faults in a timely manner and trigger automated operations.

[0051] Embodiment 4: This embodiment provides a secondary system inspection method based on a substation digital twin system. Based on Embodiment 2, the workflow of the secondary system inspection is as follows: Figure 2 shown.

[0052] In this embodiment, Figure 2 As shown in the figure, the workflow of the secondary system inspection includes the initialization and association configuration of the data model, inspection task configuration, real-time data collection, data cleaning, statistical analysis, result display and storage, etc.

[0053] Preparation: Data association configuration stage. During software implementation, the configuration personnel process the data source related attributes and classifications according to the actual situation of each substation, and improve the mapping relationship between data and equipment objects.

[0054] Step 1: User login and permission verification phase. Complete system login according to the provided user name and password.

[0055] Step 2: Patrol task configuration phase. After the software data configuration is completed, configure the patrol task parameters according to the relevant requirements of the operation and maintenance department of the local power grid company, including patrol equipment scope, patrol object category, patrol strategy, automatic patrol cycle, patrol result push requirements, etc.

[0056] Step 3: Data collection phase. According to the patrol task configuration content and the equipment data association, at the specified time, the target data is collected from the D5000, Baoxin, video surveillance and other systems through the data interface.

[0057] Step 4: Data cleaning stage. According to the established data attribute rules of various patrol objects, determine whether the integrity, uniqueness, authority, and legality of the data meet the requirements, providing a premise for data analysis.

[0058] Step 5: Data analysis phase. Use the data accumulation model to classify and organize the related data, and compare the cleaned data with their respective reference values ​​and reference ranges according to the patrol strategy configured for the patrol task to determine whether there are any abnormalities.

[0059] Step 6: Inspection result display stage. The results of each intelligent inspection analysis are presented in the form of inspection reports, including inspection time, inspection equipment, inspection abnormality statistics, real-time value records, reference value records, processing suggestions, etc. At the same time, through data history curves, multi-dimensional data analysis and other functions, trend predictions of equipment status are carried out to help users quickly understand equipment safety risks and arrange maintenance work reasonably.

[0060] 1. Patrol target parameters Patrol equipment: Based on the full attribute information of the secondary equipment in the substation, including the panel cabinet, bay, equipment type, and equipment model, you can quickly select the patrol equipment object in the equipment list, or filter according to the common characteristics of the equipment and select multiple equipment at the same time. For example, all secondary equipment in a certain bay, all protection devices at a 220kV voltage level, etc.

[0061] Inspection objects: Inspection objects include circuit breakers, hard pressure plates, indicator lights, fixed values, soft pressure plates, telemetry real-time values ​​and other categories of objects. The inspection requirements for each object will be different. Setting corresponding inspection parameters and configuring inspection tasks in a targeted manner can better meet the personalized needs of the operation and inspection department.

[0062] 2. Patrol cycle parameters In terms of patrol cycle selection, since the patrol work of the digital twin system needs to be fast and low-cost, the inspection and maintenance department can get rid of the time and economic cost constraints on the patrol frequency of the equipment and put forward reasonable patrol time requirements. The digital twin system can combine multiple configuration methods to realize the liberalization of patrol cycles. For example, the patrol time can be configured as "patrol once every three days", "patrol once every Monday and Thursday", "patrol once on the 1st and 15th of each month", etc. At the same time, the set patrol cycle can be customized to perform one-click patrol under different scenario requirements.

[0063] 3. Inspection strategy 1) Device power circuit breaker Usually, the substation monitoring system and background do not collect the status information of the power circuit breaker of the device in the substation, so the circuit breaker status information cannot be collected and there is a data blind spot. When the monitoring system reports abnormal information such as power failure of the device or interruption of device communication, it is impossible to determine whether it is the fault of the device itself or the power circuit breaker tripping, which affects the defect analysis and disposal. Therefore, it is necessary to install circuit breaker position auxiliary contacts at the plant end, and introduce the contact signal into the measurement and control device or intelligent terminal to realize the circuit breaker position upload function. After the digital twin system obtains the circuit breaker status information, it can complete the fault diagnosis and positioning in combination with the device operation status and the circuit breaker status of adjacent devices or cabinets.

[0064] In terms of inspection strategy, circuit breaker status inspection can adopt a multi-parameter comparison strategy. If only a single device power circuit breaker is in the open position, the DC power circuit fault of the device is located; if multiple sets of devices or multiple cabinets have power circuit breakers in the open position, it is determined that the DC circuit power circuit is mixed or the cable channel has an external force fault; if the power circuit breakers are all in the closed position and the device power failure abnormal information is reported, it is inferred that the device DC power circuit is normal and the power module is faulty.

[0065] 2) Install the hard pressure plate Usually, the substation monitoring system and background do not collect the status of the functional hard pressure plates and the export hard pressure plates in the substation, so there is a data blind spot in the collection of hard pressure plate status information. Operation and maintenance personnel can only inspect the status of the hard pressure plates on site, which is inefficient. The status of the hard pressure plates needs to be changed during on-site maintenance tests. After the work is completed, the activation and deactivation of the hard pressure plates need to be checked one by one against the operation requirements. There is a possibility that human factors may cause the pressure plates to be misactivated or missed, which may create safety hazards. Therefore, it is necessary to install an online monitoring system for the status of the hard pressure plates. By installing position sensors, low-power signal transceivers and other acquisition components, the activation and deactivation status information of the hard pressure plates can be transmitted to the Baoxin substation and the digital twin system to realize remote collection of the status information of the hard pressure plates.

[0066] In terms of inspection strategy, compared with other status parameters of secondary equipment, the reference value of the hard pressure plate status is not constant. The status of the hard pressure plate changes with the equipment operation mode and working conditions. During inspection, comparison should not be made according to a unified standard, but a comprehensive judgment should be made based on multiple inspection strategies.

[0067] The first is the static reference value comparison strategy. Before and after the commissioning of the secondary equipment of the new or expanded project, the on-site hard pressure plate operation and withdrawal status are compared with the preset hard pressure plate status requirements in the operation procedures.

[0068] The second is the dynamic reference value comparison strategy. Before and after the equipment maintenance, the hard pressure plate insertion and withdrawal status related to the maintenance interval is compared. This strategy can avoid the error of the hard pressure plate insertion and withdrawal status after the maintenance work.

[0069] The third is the multi-parameter comparison strategy. The correlation between the equipment status parameters is used to determine whether the hard pressure plate is in the correct state, such as the consistency and correlation check and comparison of the functional hard pressure plate and the soft pressure plate.

[0070] 3) Device indicator light Since only the six unified devices of the power grid can send the status of the device indicator light through the remote signal, but many stations are not six unified devices, so the device indicator light status information collection also has data blind spots. Therefore, by installing a track lifting camera in the relay protection room of the substation, the camera can collect photos of the device panel in real time, and transmit them to the digital twin system through the video monitoring system. After the image recognition module of the digital twin system obtains the picture, it identifies the position and color of the device indicator light based on the image recognition technology, thereby obtaining the status information of the device indicator light.

[0071] Taking into account the restrictions on the installation conditions of track cameras in some substations, the virtual acquisition of indicator light status can also be completed by state quantity signal fusion calculation. That is, according to the internal calculation logic of the secondary equipment, the indicator light status expression is created by combining the related state quantity signals. The digital twin system obtains the device indicator light status information after logical calculation through the related state quantities collected in real time, and presents it intuitively to the patrol personnel.

[0072] In terms of patrol strategies, this embodiment proposes a method of combining the following two strategies.

[0073] The first is the static reference value comparison strategy. For abnormal indicators such as device failure and device alarm, the comparison strategy can be compared with a unified reference value, and the abnormal indicator light can be used to infer device failure.

[0074] The second is the multi-parameter comparison strategy. For status indicators, such as switch opening and closing indicators, pressure plate throw-in and throw-out status indicators, etc., the corresponding signal real-time values ​​need to be compared. If the consistency criteria are not met, it is inferred that the device is faulty.

[0075] 4) Device setting and soft pressure plate The digital twin system collects device setting values ​​and soft pressure plate status information in real time. Since the device setting values ​​and soft pressure plate reference values ​​are relatively fixed, a combination of the following two strategies is used.

[0076] The first is the static reference value comparison strategy. After inputting the fixed value list parameters in the early stage, the fixed value and the real-time value of the soft pressure plate can be checked against the fixed value list. When the patrol system and the fixed value system data are connected, the practicality and reliability of this strategy are further enhanced.

[0077] The second is to interface with other systems such as the set value setting system to retrieve the set value and compare it with the current set value to determine whether there is any abnormality.

[0078] 5) Device sampling The digital twin system can collect device analog information in real time and use a combination of the following three strategies to patrol the device sampling values.

[0079] (1) Reference range value comparison strategy. For voltage sampling values, etc., because they have the characteristics of long-term operation within a certain range, a reference value range comparison strategy can be adopted. Combined with relevant specifications and actual operation data, set upper and lower limits for the measured value, and alarm when it exceeds the reasonable range. This strategy can be optimized based on relevant specification indicators, and appropriately narrow the reference value range in combination with historical operation data to achieve early perception, early alarm, early warning type and its operation characteristics.

[0080] (2) Fluctuation amplitude comparison strategy. For internal state sampling values ​​such as device temperature and light intensity, the fluctuation amplitude is small over a period of time, and it is not easy to set its absolute value range. A patrol strategy can be adopted to calculate the difference with the previous sampling. When the difference is too large, it indicates that there is an abnormality in the device.

[0081] (3) Homologous data comparison strategy. For dual-set protection devices, intelligent terminals and process-layer equipment, a patrol strategy can be adopted to compare set A data with set B data. In an environment where the frequency of data changes is high, homologous comparison detection can be used to determine whether there is a fault in the data sampling and transmission channels.

[0082] Embodiment 5: This embodiment provides a secondary system inspection method based on a substation digital twin system. On the basis of Embodiment 2, the data accumulation model is as follows: Figure 3 shown.

[0083] Secondary system equipment has rich status information. Effective integration and value mining of massive data can help operation and maintenance personnel quickly understand the operation status of equipment. A data accumulation model based on a digital twin system is proposed for the secondary system as shown in the figure, which is used to support the comprehensive status evaluation of the secondary system.

[0084] In this embodiment, Figure 3 As shown, the data reflecting the operating status of the secondary equipment is formed into a data accumulation model from the outside to the inside, which is divided into four dimensions: accessory status, operating status, self-test status, and basic information.

[0085] The accessory status dimension describes whether there are any abnormalities in the peripheral auxiliary equipment of the device, including the circuit breaker status and the hard pressure plate status, etc. The circuit breaker status information can be obtained from the D5000 system, and the hard pressure plate status can be obtained from the Baoxin main station.

[0086] The operating status dimension describes whether there are any abnormalities in the external input and configurable options of the device, including the fixed value status, soft pressure plate status, communication status, telemetry status, etc. The fixed value and soft pressure plate status are obtained from the Baoxin master station, and the communication status and telemetry status are obtained from the D5000 system and the Baoxin master station at the same time, which improves the richness of data collection.

[0087] The self-test status dimension describes whether there are any abnormalities in the internal software and hardware of the device, including device temperature, indicator light status, channel light intensity and other self-test signals. The device temperature, channel light intensity and other self-test signals are collected from the security main station, and the indicator light status is collected from the video surveillance main station.

[0088] The basic information dimension describes the inherent attributes of the device, including the device model, the bay to which it belongs, the panel cabinet to which it belongs, the substation to which it belongs, the device manufacturer, whether it is in operation, the associated spare parts number, the production date, etc., to provide support for maintenance personnel's analysis and decision-making.

[0089] Embodiment 6: This embodiment provides a secondary system inspection method based on the substation digital twin system. On the basis of Example 2, the digital twin system uses a data accumulation model. It can not only detect equipment with abnormal conditions, but also perform statistical analysis on various types of status information obtained. Based on different analysis methods and prediction models, it can predict the status trend of secondary system equipment and discover potential risks that have not yet caused failures, so that users can arrange preventive maintenance work in advance to avoid failures that cause serious asset losses.

[0090] 1) Time series analysis Time series analysis is often used to predict the trend of equipment self-test status. The inherent parameters of the same equipment generally change little during the normal operation cycle. When some components age faster or abnormalities occur, it will be reflected in the historical curve of the parameters. For example, when the temperature of the relay protection room is constant, the device temperature of the last 30 samples has been rising continuously. The device temperature scatter plot is as follows: Figure 4 As shown, through historical data analysis, it is judged that the device is at risk and preventive maintenance needs to be arranged.

[0091] 2) Radar chart analysis method For a single device, each status data in the data accumulation model is used as a dimension to draw a radar chart of the device status as shown in Figure 5. The outer limit is the expected value of the status, and the inner limit is the fault threshold. When the real-time sampling value falls between the outer limit and the inner limit, the status abnormality will not be displayed, but from the perspective of the radar chart, it is easy to see that multiple sampling values ​​are close to the inner limit. This situation means that the device is close to the edge of failure and preventive maintenance needs to be arranged.

[0092] 3) Artificial neural network analysis method With the rapid accumulation of data, artificial neural networks have the foundation for deep learning. They use their highly adaptive and fault-tolerant characteristics to establish data models and analyze the status patterns of secondary system equipment. Since there are fewer fault samples of power secondary system equipment and even fewer samples reflecting the data changes during the fault process, artificial neural networks can establish data analysis models based on massive normal state data and deduce abnormal state judgment conditions from the data change patterns of normal states.

[0093] The digital twin system can also be interconnected with other intelligent devices and systems to achieve a higher level of intelligent management. For example, the digital twin system can interact with smart sensors and smart devices to detect anomalies and faults in a timely manner and trigger automated operations.

[0094] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A secondary system inspection method based on a substation digital twin system, characterized in that: include: Based on the data transmission channel between the substation digital twin system and the dispatching platform, obtain the real-time substation data required for secondary system inspection; Construct secondary system inspection process; Based on the real-time data of the substation, conduct secondary system inspection according to the secondary system inspection process and obtain the secondary system status inspection results; Also includes: Build a data accumulation model based on real-time data from substations; The secondary system state trend is predicted according to the data accumulation model to obtain the secondary system state trend prediction result.

2. The secondary system inspection method based on the substation digital twin system according to claim 1 is characterized in that: The data transmission channels between the substation digital twin system and the dispatching platform include: The file or data interface between the substation digital twin system and the control center D5000 system is used to obtain real-time production and operation data of the substation; The file or data interface between the substation digital twin system and the protection information master station system is used to obtain real-time protection information data of the substation; The file or data interface between the substation digital twin system and the fault recording system is used to obtain real-time fault data of the substation; The file or data interface between the substation digital twin system and the video surveillance system is used to obtain real-time monitoring data of the substation.

3. The secondary system inspection method based on the substation digital twin system according to claim 1 is characterized in that: The secondary system inspection process includes: Patrol task configuration stage: configure patrol task parameters according to operation and maintenance requirements; patrol task parameters include patrol equipment scope, patrol object category, patrol strategy, patrol cycle and patrol result push requirements; Data collection stage: According to the patrol task parameters and the relationship between the data source and the patrol object, target data is collected from the control center D5000 system, protection information master station system, fault recording system and video monitoring system at the specified time; Data cleaning stage: clean the target data according to the data attribute rules of various patrol objects; Data analysis stage: According to the inspection strategy, the cleaned target data is compared with their respective reference values ​​or reference ranges to determine whether there are any abnormalities in the inspection object and obtain the secondary system status inspection results; Inspection result push stage: each inspection result is pushed in the form of an inspection report; the inspection report includes inspection time, inspection equipment, abnormal situation statistics, real-time value records of target data, reference value records of target data and suggestions for handling abnormal situations.

4. The secondary system inspection method based on the substation digital twin system according to claim 3 is characterized in that: The secondary system inspection process also includes: User login and permission verification stage: User login and permission verification are performed based on the user name and password.

5. The secondary system inspection method based on the substation digital twin system according to claim 3 is characterized in that: The secondary system inspection process also includes: Data association configuration stage: According to the actual situation of each substation, the relevant attributes and categories of the data source are processed to obtain the association relationship between the data source and the patrol object.

6. The secondary system inspection method based on the substation digital twin system according to claim 3 is characterized in that: The inspection objects include air switches, hard pressure plates, indicator lights, set values, soft pressure plates and telemetry real-time values.

7. The secondary system inspection method based on the substation digital twin system according to claim 6 is characterized in that: The patrol strategy of the air switch includes: if only the air switch of a single secondary device is in the open position, the DC power circuit of the secondary device is judged to be faulty; if the air switches of multiple secondary devices or multiple cabinets are in the open position at the same time, the DC power circuit is judged to be mixed or the cable channel is faulty due to external force; if all the air switches are in the closed position and the secondary device power failure abnormal information is reported, the DC power circuit is judged to be normal and the power module is faulty; The inspection strategy of the hard pressure plate includes: before and after the secondary equipment is put into operation, the on-site hard pressure plate launch and retreat status is compared with the preset hard pressure plate status in the operation procedures to determine whether the on-site hard pressure plate launch and retreat status is correct; before and after the secondary equipment is overhauled, the launch and retreat status of each related hard pressure plate in the overhaul interval is compared to determine whether the launch and retreat status of each related hard pressure plate in the overhaul interval is correct; determine whether the launch and retreat status of the hard pressure plate is correct based on the correlation relationship between the secondary equipment status parameters; The inspection strategy of the indicator lights includes: comparing the signal value of the alarm indicator lights with the unified reference value to determine whether the secondary equipment is faulty; comparing the signal value of the status indicator lights with the corresponding real-time value of the signal to determine whether the secondary equipment is faulty; The inspection strategy of the fixed value and soft pressure plate includes: comparing the real-time value of the fixed value and soft pressure plate with the fixed value list to determine whether the secondary equipment is faulty; comparing the real-time value of the fixed value and soft pressure plate with the set value of the fixed value setting system to determine whether the secondary equipment is faulty; The patrol strategy of the real-time value of telemetry includes: when the telemetry is voltage, the real-time value of the telemetry is compared with the preset reference range to determine whether the secondary equipment is faulty; when the telemetry is temperature or light intensity, the difference between the current real-time value of the telemetry and the previous real-time value of the telemetry is compared with the preset threshold to determine whether the secondary equipment is faulty; for dual-configuration protection devices, intelligent terminals and process-layer equipment, the data sampling and data transmission channels are determined to be faulty through homologous comparison.

8. The secondary system inspection method based on the substation digital twin system according to claim 7 is characterized in that: In the patrol strategy of the air switch, the air switch status is transmitted to the substation digital twin system by the air switch position auxiliary contact; the air switch status includes the air switch in the open position or the air switch in the closed position; In the inspection strategy of the hard pressure plate, the status of the hard pressure plate is transmitted from the hard pressure plate status online monitoring system to the substation digital twin system; In the inspection strategy of indicator lights, the indicator light images are collected by a rail-lifting camera and transmitted to the substation digital twin system for image recognition to obtain the indicator light status; among them, the indicator light status includes the alarm indicator light signal value and the status indicator light signal value.

9. The secondary system inspection method based on the substation digital twin system according to claim 1 is characterized in that: The data accumulation model includes four dimensions: attachment status, operation status, self-check status and basic information; Among them, the accessory status dimension describes whether there are any abnormal conditions in the peripheral auxiliary equipment of the secondary equipment. The accessory status includes the status of the air switch and the status of the hard pressure plate. Among them, the status of the air switch is obtained from the D5000 system of the control center, and the status of the hard pressure plate is obtained from the protection information master station system. The operating status dimension describes whether there are abnormal conditions in the external input and configuration options of the secondary equipment. The operating status includes the fixed value status, soft pressure plate status, communication status and telemetry status. Among them, the fixed value status and soft pressure plate status are obtained from the protection information master station system, and the communication status and telemetry status are obtained from the control center D5000 system and the protection information master station system at the same time. The self-test status dimension describes whether there are abnormalities in the software or hardware inside the secondary device. The self-test status includes the temperature, indicator light status, channel light intensity and other self-test signals of the secondary device. Among them, the temperature, channel light intensity and other self-test signals of the secondary device are obtained from the protection information master station system, and the indicator light status is obtained from the video monitoring system; The basic information dimension describes the inherent properties of the secondary equipment. The basic information includes the model of the secondary equipment, the bay to which it belongs, the panel cabinet to which it belongs, the substation to which it belongs, the manufacturer, the operating status, the associated spare parts number and the production date.

10. The secondary system inspection method based on the substation digital twin system according to claim 1 is characterized in that: The secondary system status trend forecast based on the data accumulation model includes: According to the data accumulation model, the self-inspection status trend of the secondary equipment is predicted by using the time series analysis method to obtain the prediction result of the self-inspection status trend of the secondary equipment; According to the data accumulation model, the radar chart analysis method is used to predict the status trend of a single secondary device to obtain the prediction result of the status trend of a single secondary device; According to the data accumulation model, the artificial neural network analysis method is used to predict the state trend of secondary equipment that lacks fault samples, and the state trend prediction results of secondary equipment that lacks fault samples are obtained.

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