RPA-based transformer substation heavy load temperature measurement method, system and device, and storage medium

By applying the automated process of the RPA platform in the substation, the current value is collected and analyzed in real time, the temperature measurement warning signal is output, and infrared temperature measurement is carried out through the remote intelligent patrol system, the problem of low temperature measurement efficiency of large loads of the substation is solved, and the accuracy and safety of temperature measurement are improved.

CN119849906APending Publication Date: 2025-04-18XINZHOU POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER CORP
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Patent Information

Application Number
CN202510004371.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-02
Publication Date
2025-04-18

AI Technical Summary

Technical Problem

The existing substations have low temperature measurement efficiency during high load periods, resulting in frequent fires, explosions and other accidents, and the operation and maintenance personnel are burdened with heavy burdens, so the targetedness and accuracy of the temperature measurement results are insufficient.

Method used

The substation's large-load temperature measurement method is adopted based on RPA. Through the RPA platform automated process orchestration, the substation interval current value is collected in real time, compared with the preset threshold, the temperature measurement and early warning signal is output, and infrared temperature measurement is performed through the remote intelligent patrol system.

Benefits of technology

It improves the temperature measurement efficiency and accuracy, reduces the work burden of operation and maintenance personnel, reduces the risks of fire and explosion, and ensures the safe and stable operation of the equipment.

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Abstract

The invention provides a transformer substation heavy load temperature measurement method, system and device based on RPA and a storage medium, and belongs to the field of power grid power transmission. The problem of low temperature measurement efficiency of substation heavy-load equipment during a heavy load period is solved; in order to solve the technical problem, the technical scheme adopted by the invention is as follows: obtaining a primary wiring diagram of a dispatching transformer substation through a browser function of an RPA software platform, obtaining a transformer substation interval current value by reading a transformer substation interval coordinate value in the primary wiring diagram of the transformer substation, and comparing the transformer substation interval current value with a preset threshold value; if the extracted interval current value of the transformer substation exceeds a preset threshold value and reaches load out-of-limit time, temperature measurement early warning information is sent out, so that temperature measurement early warning is realized, real-time data of a D5000 intelligent power grid dispatching control system is transmitted to a real-time measurement system of an enterprise-level measurement center, the real-time measurement system transmits the early warning information to a remote intelligent inspection system, and the remote intelligent inspection system performs remote inspection on the transformer substation. The remote intelligent inspection system drives the terminal temperature measuring equipment to measure the temperature; the invention is applied to power supply systems.
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Description

Technical Field

[0001] The present invention provides a substation heavy load temperature measurement method, system, device and storage medium based on RPA, belonging to the technical field of power grid transmission system. Background Art

[0002] With the rapid increase in power supply load and the aging of power supply equipment, fires and explosions caused by excessive temperatures at the joints of power transmission and transformation lines in substations often occur, seriously affecting the safety of electricity use and causing huge economic losses to both power supply and electricity users. At the same time, with the increase in new equipment put into operation year by year, the per capita maintenance workload of plants and stations (station / person ratio) and operators has increased significantly. In some areas, the aging of operation and maintenance personnel is serious, and the contradiction between people and stations has become increasingly prominent. In addition, the time for high-load temperature measurement depends on the experience of personnel. Since operation and maintenance personnel cannot accurately judge the time of high load occurrence, the infrared temperature measurement results are not targeted and cannot accurately reflect the operating conditions of the equipment. The practicality of the temperature measurement results is low. During the peak summer and peak winter periods, the frequency of temperature measurement by operation and maintenance personnel has increased significantly. It is urgent to improve the pertinence and accuracy of temperature measurement, reduce the frequency of temperature measurement, reduce the burden on operation personnel, and ensure the safe and stable operation of equipment. Summary of the invention

[0003] In order to solve the technical problem of low temperature measurement efficiency of existing substation heavy-load equipment during heavy load, the present invention proposes a substation heavy-load temperature measurement method, system, equipment and storage medium based on RPA, and applies the RPA platform to power supply operation and maintenance work, which effectively improves the temperature measurement efficiency while reducing the workload of operation and maintenance personnel.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: a substation large load temperature measurement method based on RPA, combined with RPA process orchestration, converts the relevant substation large load temperature measurement tasks into an automated process, including the following steps: Step S1: Locate the substation interval in the substation primary wiring diagram, use the data capture function to collect the substation interval coordinate value, and store the collected substation interval coordinate value in the data manager; Step S2: reading the substation bay coordinate value stored in the data manager through the reading function of the RPA, and linking to the substation primary wiring diagram through the substation bay coordinate value; Step S3: RPA collects substation interval current values ​​in real time through the D5000 smart grid dispatching and control system, and stores the collected substation interval current values ​​in the parameter retrieval table of the D5000 smart grid dispatching and control system. The parameter retrieval table is linked to the substation interval coordinate value in the substation primary wiring diagram, so that the substation interval coordinate value is linked to the substation interval current value, and the substation interval current value is collected by coordinates; Step S4: Compare and analyze the collected substation interval current value with the preset threshold, output a temperature measurement warning signal in combination with the load over-limit time, and output the start time, end time and specific current value of the real-time current value of the substation interval that exceeds the preset threshold; Step S5: Execute the temperature measurement operation according to the temperature measurement warning signal.

[0005] Furthermore, the judgment process of outputting the temperature measurement warning signal in step S4 is to judge whether the collected substation interval current value exceeds the preset threshold value. If the collected substation interval current value exceeds the preset threshold value, the substation interval current value is continuously collected. If the continuously collected substation interval current values ​​all exceed the preset threshold value and the number of continuous collections reaches the preset number of times, a temperature measurement alarm signal is issued and a temperature measurement operation is performed. After completing a temperature measurement alarm signal, the substation interval current value is collected again.

[0006] Furthermore, the parameter retrieval table of the D5000 smart grid dispatching and control system is also linked to the enterprise-level measurement center, and the substation interval current value is transmitted to the enterprise-level measurement center, and the substation interval current value and the preset threshold are analyzed and judged to output a temperature measurement warning signal; The enterprise-level measurement center is also linked to a remote intelligent inspection system. The enterprise-level measurement center transmits a temperature measurement warning signal to the remote intelligent inspection system, and the remote intelligent inspection system controls the terminal temperature measurement equipment to perform temperature measurement operations.

[0007] Furthermore, it also includes an abnormal monitoring operation of a large load monitoring process. The abnormal monitoring operation of the large load monitoring process includes an attempted execution operation and an infinite loop execution operation. The attempted execution operation can identify abnormal operations during the operation. The infinite loop execution operation is nested in the attempted execution operation, and can automatically identify abnormal operations during the execution of the entire substation large load temperature measurement process. When abnormal operation occurs in the substation large load temperature measurement process, return to step S2 for re-monitoring.

[0008] Furthermore, the preset thresholds include an overload constant value MPID, a historical maximum current value, and an alarm current value.

[0009] A high-load temperature measurement system for a substation based on RPA, comprising a data loading module, wherein the data loading module is linked to a process start module, a high-load monitoring module and an abnormality handling module; The data loading module includes a power grid dispatching and control system module, which is linked to a substation interval coordinate import module and a browser function module of the RPA platform. The power grid dispatching and control system module can collect substation interval current values ​​in real time; The power grid dispatching control system module is also linked to a substation primary wiring diagram module, and the substation primary wiring diagram module is also linked to a substation interval coordinate module, and the substation interval coordinate module stores substation interval coordinate information; The substation interval coordinate import module is linked to the substation interval coordinate module, and the substation interval coordinate import module can output the imported coordinate information of each substation interval to the global variable; The large load monitoring module can collect substation interval coordinate information. The substation interval coordinate import module is linked to the power grid dispatching and control system module to collect substation interval current values ​​in a coordinate manner. After comparing each substation interval current value with a preset threshold, a temperature measurement alarm signal can be issued.

[0010] Further, the heavy load monitoring module includes a trial execution module and an infinite loop acquisition module, in which an abnormal state can be identified, and the infinite loop acquisition module is nested in the trial execution module, and can automatically identify an abnormal state in the heavy load monitoring process; The infinite loop acquisition module includes a threshold comparison module, and the threshold comparison module is linked to a current acquisition module and a temperature measurement alarm module; the current acquisition module is used to collect the interval current value of the substation.

[0011] Furthermore, the exception handling module is linked to the data loading module, and the exception handling module can initialize the data loading module, thereby initializing the heavy load monitoring module.

[0012] A high-load temperature measurement device for a substation based on RPA includes a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to implement the method steps described above when executing the computer program.

[0013] A readable storage medium stores a computer program, and the computer program implements the above method steps when executed by a processor.

[0014] The beneficial effects of the present invention compared with the prior art are as follows: 1. The present invention uses the RPA software platform to construct a high-load temperature measurement scenario for a substation. Based on the Flink stream computing platform, the operating data is collected and processed in real time. The browser function of the RPA software platform is used to schedule the substation primary wiring diagram. The substation interval current value is obtained by reading the substation interval coordinate value in the substation primary wiring diagram, and compared with the preset threshold. If the extracted substation interval current value exceeds the preset threshold and reaches the load over-limit time, a temperature measurement warning information is issued, thereby realizing temperature measurement warning; 2. The invented RPA-based substation high-load temperature measurement system transmits the real-time data of the D5000 smart grid dispatching control system or the centralized control master station system to the real-time measurement system of the enterprise-level measurement center. The real-time measurement system transmits the warning information to the remote intelligent inspection system. The remote intelligent inspection system drives the high-definition camera, drone or intelligent inspection robot at the target transformer station to carry out infrared temperature measurement and determine whether the electrical equipment is operating normally. It can greatly improve the inspection efficiency and quality while reducing the workload and safety risks of the operation and maintenance personnel; 3. The present invention applies the RPA (robotic process automation) platform to operation and maintenance work, constructs a high-load temperature measurement scenario for substations, and assists power supply operation and maintenance personnel in quickly processing large amounts of repetitive, rule-fixed transactional work, thereby improving the pertinence and accuracy of temperature measurement, reducing the frequency of temperature measurement, avoiding unnecessary temperature measurement work, and reducing the burden on operation and maintenance personnel, while ensuring the safe and stable operation of equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings: Figure 1 The present invention is a substation high load temperature measurement monitoring process Figure 1 ; Figure 2 The present invention is a substation high load temperature monitoring process Figure 2 ; Figure 3 This is a logic flow chart of the large-load temperature measurement monitoring of the power grid measurement center based on the Flink stream computing platform of the present invention; Figure 4 This is a system framework diagram for the high-load temperature measurement scenario of a substation of the present invention. DETAILED DESCRIPTION

[0016] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate relative positions or positional relationships, which are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0017] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or a link; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

[0018] RPA (Robotic Process Automation) is a virtual labor tool that uses software robots to automate software operations. Through pre-set process algorithms and input parameter information, it can simulate human operations, automatically run various software, and perform predetermined workflow tasks. Therefore, using RPA can perform repetitive tasks more efficiently and accurately.

[0019] Substation bay: refers to a complete and independently operated electrical equipment combination in a substation. The substation bay can be regarded as a basic unit in the substation electrical system, consisting of various equipment, including circuit breakers, disconnectors, grounding switches, instrumentation equipment, protection equipment, etc.

[0020] Enterprise-level real-time measurement center: It can gather the electric, non-electric and carbon measurement data of all links of the power grid in real time, support high-speed sharing applications of various professions, improve the observability, description and controllability of the power grid, and support the construction of the company's new power system. The enterprise-level real-time measurement center has the ability to manage measurement points and real-time measurement access, calculation and service, including six components: shared service layer and quality assurance.

[0021] like Figures 1 to 4 As shown in the figure, the RPA-based substation high-load temperature measurement method, combined with RPA process orchestration, transforms the relevant substation high-load temperature measurement tasks into an automated process, including the following steps: Step S1: Locate the substation interval in the substation primary wiring diagram, use the data capture function to collect the substation interval coordinate value, and store the collected substation interval coordinate value in the data manager, which is an Excel spreadsheet.

[0022] Step S2: The substation interval coordinate values ​​stored in the data manager are read through the reading function of the RPA. The substation interval coordinate values ​​are linked to the substation primary wiring diagram, that is, the coordinate values ​​of the locations of each substation interval distributed on the substation primary wiring diagram can be read. Specifically, the Excel function in the RPA data reading function module is used to collect the substation interval coordinate values ​​in the data manager.

[0023] Step S3: RPA collects substation interval current values ​​in real time through the D5000 smart grid dispatching and control system, and stores the collected substation interval current values ​​in the parameter retrieval table of the D5000 smart grid dispatching and control system. The parameter retrieval table is linked to the substation interval coordinate value in the substation primary wiring diagram, so that the substation interval coordinate value is linked to the substation interval current value, and the substation interval current value is collected by coordinates, that is, the target substation interval current value can be obtained by reading the target substation interval coordinate value.

[0024] Specifically, start the browser function module of RPA, use the browser function in the RPA automation function, enter the address of the D5000 smart grid dispatching and control system, save the output result to the handle, log in to the D5000 smart grid dispatching and control system, use the mouse function in the RPA mouse and keyboard, perform "simulated movement" and "simulated click" operations, and enter the substation primary wiring diagram display interface. By combining the "simulated click" and "get text" functions of RPA, the substation interval coordinate value is linked to the parameter retrieval table in the D5000 smart grid dispatching and control system, and the substation interval current value is collected by coordinates, so as to achieve the purpose of obtaining the current value of the measured substation interval in the substation primary wiring diagram display interface, thereby collecting the real-time current value of each substation interval. More specifically, use the browser function in the RPA automation function, enter the address of a certain province's D5000 smart grid dispatching and control system platform, log in, click the target urban area in the D5000 smart grid dispatching and control system platform interface of the province, and enter the substation primary wiring diagram display interface. Click the target substation interval coordinate value in the substation primary wiring diagram display interface to obtain the target substation interval current value. Taking a 220kV urban substation as an example, the coordinates of some of its substation outgoing line intervals are shown in Table 1 below: Step S4: Compare and analyze the collected substation interval current value with the preset threshold, output a temperature measurement warning signal in combination with the load over-limit time, and output the start time, end time and specific current value of the real-time current value of the substation interval that exceeds the preset threshold; Specifically, the judgment process of outputting the temperature measurement warning signal in step S4 is to judge whether the collected substation interval current value exceeds the preset threshold value. If the collected substation interval current value exceeds the preset threshold value, the substation interval current value is continuously collected. If the continuously collected substation interval current values ​​all exceed the preset threshold value and the number of continuous collections reaches the preset number of times, a temperature measurement alarm signal is issued, and a temperature measurement operation is performed. The start time, end time and specific current value of the real-time current value of the substation interval that exceeds the preset threshold value are output. After completing a temperature measurement alarm signal, the substation interval current value is collected again. The preset threshold value includes the overload constant MPID, the historical maximum current value and the alarm current value.

[0025] Step S5: Execute the temperature measurement operation according to the temperature measurement warning signal.

[0026] The parameter retrieval table of the D5000 smart grid dispatching and control system is also linked to the enterprise-level measurement center, which includes a real-time measurement system and a remote intelligent inspection system. The real-time measurement system is used to receive the substation interval current value transmitted by the D5000 smart grid dispatching and control system. After the enterprise-level measurement center reads the substation interval current value, it executes step S4; the real-time measurement system and the remote intelligent inspection system are linked, and the real-time measurement system transmits the temperature measurement warning signal to the remote intelligent inspection system, and the remote intelligent inspection system controls the terminal temperature measurement equipment to perform temperature measurement operations. The terminal temperature measurement equipment includes but is not limited to high-definition cameras, drones, or intelligent inspection robots.

[0027] The temperature measurement alarm signal is a voice broadcast and a prompt box pops up on the terminal device display interface. When the voice broadcast is completed and the staff clicks the prompt box to confirm, the number of times the continuously collected substation interval current value exceeds the preset value is reset. The number of times the continuously collected substation interval current value exceeds the preset threshold is five or three times, and can also be adaptively adjusted according to actual needs.

[0028] The transformer substation large-load temperature measurement process of the present invention also includes a large-load monitoring process abnormal monitoring operation, and the large-load monitoring process abnormal monitoring operation includes a try-execution operation and an infinite loop execution operation. The try-execution operation can identify abnormal operations during the operation process. The infinite loop execution operation is nested in the try-execution operation, and can automatically identify abnormal operations during the execution of the entire transformer substation large-load temperature measurement process. When an abnormal operation occurs in the transformer substation large-load temperature measurement process, return to step S2 to re-monitor, that is, simulate manually closing the browser, closing the Excel table, and re-execute the initialization data loading. Abnormal operations in the transformer substation large-load temperature measurement process include but are not limited to browser freezing, mouse freezing, and no response to clicks.

[0029] The Flink stream computing platform is a powerful distributed streaming data processing platform. Its core is a distributed streaming data flow engine written in Java and Scala, providing ready-made source and receiving connectors such as Kafka, which is a message queue.

[0030] Keyby grouping refers to the operation of grouping data according to a specified key in data stream processing. This operation is usually used to ensure that data elements with the same key value are grouped together for subsequent operations such as aggregation and window calculations. In stream processing frameworks such as Apache Flink, Keyby grouping is the basis for implementing state management and window operations. It determines the key group ID through a hash algorithm, and then calculates the downstream partition to which the data should be assigned, ensuring that data with the same key is located in the same logical unit within the partition.

[0031] In this embodiment, the logic flow of large-load temperature measurement monitoring of the power grid measurement center based on the Flink stream computing platform is as follows: 1. Based on the Flink stream computing platform, consume Kafka to schedule cloud transformers and AC line source topics.

[0032] 2. Use ETL (Extract-Transform-Load) to clean up junk data.

[0033] 3. Query the current alarm information table DWS to obtain the overload setting MPID, historical maximum current value and alarm current value.

[0034] 4. Filter the substation interval current values ​​of irrelevant substation measuring points according to the overload set value MPID; the intelligent inspection robot can be placed at the measuring point to perform autonomous intelligent inspection of substation intervals, infrared temperature measurement and intelligent analysis and interpretation of equipment data status, thereby improving inspection efficiency and quality while reducing the workload and safety risks of operation and maintenance personnel.

[0035] 5. Carry out MPID keyby grouping of overload setting value according to substation measuring points, and calculate the substation interval current value of each measuring point; 6. If the collected substation interval current value exceeds the preset threshold and reaches the load over-limit time, the start time, end time and specific current value of the real-time current value of the substation interval exceeding the preset threshold are obtained, and the side output stream of the Flink stream computing platform sends the temperature measurement alarm signal to the terminal device. The main output stream of the Flink stream computing platform obtains the start time, end time and specific current value of the real-time current value of the substation interval exceeding the preset threshold and writes it into the current alarm information table DWS.

[0036] 7. If the current value of the measuring point is greater than the historical maximum current value, a new preset threshold is calculated, which is 70% to 100% of the maximum current value, and the memory status is updated, output to the side output flow, and the current alarm information table DWS is updated.

[0037] The RPA-based substation heavy load temperature measurement system includes a data loading module, which is linked to a process start module, a heavy load monitoring module and an abnormality handling module; The data loading module includes a power grid dispatching and control system module, which is linked to the substation interval coordinate import module and the browser function module of the RPA platform. The power grid dispatching and control system module can collect the substation interval current value in real time. The browser function module of the RPA platform is used to start the browser so that the browser can be operated on the RPA platform. If the command runs successfully, the bound browser handle string will be returned, and if it fails, an invalid string will be returned. The power grid dispatching and control system module includes the D5000 smart grid dispatching and control system. The browser function in the RPA platform function is used to perform the "start a new browser" operation, fill in the link in the attribute with the address of the D5000 smart grid dispatching and control system, and save the output result in the handle to achieve the goal of using the browser as the control object.

[0038] The power grid dispatching and control system module is also linked to the substation primary wiring diagram module, which is also linked to the substation interval coordinate module, in which the substation interval coordinate information is stored. The substation interval coordinate import module is linked to the substation interval coordinate module, and the substation interval coordinate import module can output the imported coordinate information of each substation interval to the global variable. The large load monitoring module can collect the substation interval coordinate information, and the substation interval coordinate import module is linked to the power grid dispatching and control system module, and collects the substation interval current value in the form of coordinates. After comparing the current value of each substation interval with the preset threshold, a temperature measurement alarm signal can be issued.

[0039] Specifically, the large load monitoring module includes a trial execution module and an infinite loop acquisition module. The abnormal state can be identified in the trial execution module. The infinite loop acquisition module is nested in the trial execution module and can automatically identify the abnormal state in the large load monitoring process. The infinite loop acquisition module includes a threshold comparison module. The threshold comparison module is linked to the current acquisition module and the temperature measurement alarm module. The current acquisition module is used to collect the coordinate information of each substation interval.

[0040] The exception handling module is linked to the data loading module. The exception handling module can initialize the data loading module, thereby initializing the large load monitoring module and re-collecting the substation interval current value.

[0041] The RPA-based substation heavy-load temperature measurement device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to implement the above method steps when executing the computer program.

[0042] The readable storage medium stores a computer program, and when the computer program is executed by a processor, the above method steps are implemented.

[0043] In the substation high-load temperature measurement system based on RPA of the present invention, the D5000 smart grid dispatching and control system is logged in to view the substation primary wiring diagram, and the current value of the substation interval is obtained in real time by reading the substation interval coordinate value in the substation primary wiring diagram. The obtained current value of the substation interval is compared with the overload constant MPID, the historical maximum current value and the alarm current value set in the current alarm information table DWS. If the collected substation interval current value exceeds the above preset threshold and reaches the load over-limit time, the staff is prompted to carry out temperature measurement in time through voice broadcast. In the scenario of building substation high-load temperature measurement and monitoring, with automation data as the core and normal load of equipment as the benchmark, the real-time current value of each substation interval is collected in real time, and the load over-limit time is used as a constraint condition. The operation and maintenance personnel are assisted by voice alarm to determine the high-load period and carry out temperature measurement of the heavy-load equipment of the substation in time.

[0044] The working principle of the present invention is: The present invention is combined with the construction of a remote intelligent inspection system. By inputting the address of the D5000 smart grid dispatching and control system in the browser of the RPA-based substation large-load temperature measurement system of the present invention, the substation primary wiring diagram is dispatched, and the real-time substation interval current value is obtained through the substation interval coordinate value in the substation primary wiring diagram. The value is compared and analyzed with the preset threshold value. If the collected substation interval current value exceeds the preset threshold value and reaches the load over-limit time, an early warning message is issued to realize active prompting of the substation large-load temperature measurement early warning.

[0045] The real-time data of the D5000 smart grid dispatching and control system or the centralized control master station system is transmitted to the real-time measurement system of the enterprise-level measurement center. The real-time measurement system transmits the warning information to the remote intelligent inspection system. The remote intelligent inspection system drives the high-definition camera, drone or intelligent inspection robot at the target transformer station to perform infrared temperature measurement and determine whether the electrical equipment is operating normally.

[0046] Regarding the specific structure of the present invention, it should be noted that the connection relationship between the various component modules adopted in the present invention is definite and feasible. Except for special instructions in the embodiments, the specific connection relationship can bring about corresponding technical effects, and solve the technical problems raised by the present invention without relying on the execution of corresponding software programs. The components, modules, models of specific components, the connection methods between each other, and the conventional use methods and expected technical effects brought about by the above-mentioned technical features, except for specific instructions, all belong to the disclosed contents in patents, journal articles, technical manuals, technical dictionaries, and textbooks that can be obtained by technical personnel in this field before the application date, or belong to the existing technologies such as conventional technologies and common knowledge in this field, and there is no need to elaborate, so that the technical solution provided in this case is clear, complete, and feasible, and the corresponding physical products can be reproduced or obtained according to the technical means.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A high-load temperature measurement method for a substation based on RPA, characterized in that: Combined with RPA process orchestration, the relevant substation high-load temperature measurement tasks are transformed into an automated process, including the following steps: Step S1: Locate the substation interval in the substation primary wiring diagram, use the data capture function to collect the substation interval coordinate value, and store the collected substation interval coordinate value in the data manager; Step S2: reading the substation bay coordinate value stored in the data manager through the reading function of the RPA, and linking to the substation primary wiring diagram through the substation bay coordinate value; Step S3: RPA collects substation interval current values ​​in real time through the D5000 smart grid dispatching and control system, and stores the collected substation interval current values ​​in the parameter retrieval table of the D5000 smart grid dispatching and control system. The parameter retrieval table is linked to the substation interval coordinate value in the substation primary wiring diagram, so that the substation interval coordinate value is linked to the substation interval current value, and the substation interval current value is collected by coordinates; Step S4: Compare and analyze the collected substation interval current value with the preset threshold, output a temperature measurement warning signal in combination with the load over-limit time, and output the start time, end time and specific current value of the real-time current value of the substation interval that exceeds the preset threshold; Step S5: Execute the temperature measurement operation according to the temperature measurement warning signal.

2. According to claim 1, a method for measuring temperature of a substation under high load based on RPA is characterized in that: The judgment process of outputting the temperature measurement warning signal in step S4 is to judge whether the collected substation interval current value exceeds the preset threshold value. If the collected substation interval current value exceeds the preset threshold value, the substation interval current value is continuously collected. If the continuously collected substation interval current values ​​all exceed the preset threshold value and the number of continuous collections reaches the preset number of times, a temperature measurement alarm signal is issued and a temperature measurement operation is performed. After completing a temperature measurement alarm signal, the substation interval current value is collected again.

3. According to claim 1, a method for measuring temperature of a substation under high load based on RPA is characterized in that: The parameter retrieval table of the D5000 smart grid dispatching and control system is also linked to the enterprise-level measurement center, and the substation interval current value is transmitted to the enterprise-level measurement center, and the substation interval current value and the preset threshold are analyzed and judged to output a temperature measurement warning signal; The enterprise-level measurement center is also linked to a remote intelligent inspection system. The enterprise-level measurement center transmits a temperature measurement warning signal to the remote intelligent inspection system, and the remote intelligent inspection system controls the terminal temperature measurement equipment to perform temperature measurement operations.

4. According to claim 1, a method for measuring temperature of a substation under high load based on RPA is characterized in that: It also includes abnormal monitoring operations of the large load monitoring process. The abnormal monitoring operations of the large load monitoring process include attempted execution operations and infinite loop execution operations. The attempted execution operations can identify abnormal operations during the operation process. The infinite loop execution operations are nested in the attempted execution operations, and can automatically identify abnormal operations during the execution of the entire substation large load temperature measurement process. When abnormal operations occur in the substation large load temperature measurement process, return to step S2 for re-monitoring.

5. According to claim 1, a method for measuring temperature of a substation under high load based on RPA, characterized in that: The preset thresholds include the overload setting MPID, the historical maximum current value and the alarm current value.

6. A high-load temperature measurement system for substations based on RPA, characterized by: It includes a data loading module, which is linked to a process start module, a large load monitoring module and an exception handling module; The data loading module includes a power grid dispatching and control system module, which is linked to a substation interval coordinate import module and a browser function module of the RPA platform. The power grid dispatching and control system module can collect substation interval current values ​​in real time; The power grid dispatching control system module is also linked to a substation primary wiring diagram module, and the substation primary wiring diagram module is also linked to a substation interval coordinate module, and the substation interval coordinate module stores substation interval coordinate information; The substation interval coordinate import module is linked to the substation interval coordinate module, and the substation interval coordinate import module can output the imported coordinate information of each substation interval to the global variable; The large load monitoring module can collect substation interval coordinate information. The substation interval coordinate import module is linked to the power grid dispatching and control system module to collect substation interval current values ​​in a coordinate manner. After comparing each substation interval current value with a preset threshold, a temperature measurement alarm signal can be issued.

7. According to claim 6, a high-load temperature measurement system for substations based on RPA is characterized in that: The heavy load monitoring module includes a trial execution module and an infinite loop acquisition module, in which an abnormal state can be identified, and the infinite loop acquisition module is nested in the trial execution module, and can automatically identify an abnormal state in the heavy load monitoring process; The infinite loop acquisition module includes a threshold comparison module, and the threshold comparison module is linked to a current acquisition module and a temperature measurement alarm module; the current acquisition module is used to collect the interval current value of the substation.

8. According to claim 6, a high-load temperature measurement system for substations based on RPA is characterized in that: The exception handling module is linked to the data loading module, and the exception handling module can initialize the data loading module, thereby initializing the heavy load monitoring module.

9. A high-load temperature measurement device for a substation based on RPA, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to implement the method steps as claimed in any one of claims 1 to 5 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps according to any one of claims 1 to 5 are implemented.