A quality inspection platform and method for on-site commissioning of an electric energy management system

Abstract

The application discloses a kind of electric energy management system field commissioning quality inspection platform and method, comprising: input module, the configuration data and operating data of target electric energy management system are acquired, and import primary side equipment topology and secondary side communication topology data;Rule management module, store the reasoning rule base established based on expert experience, reasoning rule base includes the multilevel reasoning rule classified according to the cascade relationship of measuring point, equipment, loop and system;Intelligent identification module, according to configuration data and topology data, automatically identify system hierarchical structure and equipment information, establish equipment and measuring point attribution, and match corresponding reasoning rule for each hierarchical object;Quality inspection module, according to the reasoning rule matched after operation data is automatically inspected, dynamic logic tracing is carried out when exception is found, and abnormal reason is positioned.Compared with prior art, the application realizes the automatic analysis, intelligent inspection and accurate positioning of electric energy management system commissioning result, and improves the field commissioning quality inspection efficiency.

Description

Technical Field

[0001] This invention relates to the field of power management technology, and in particular to a power management system on-site commissioning quality inspection platform and method. Background Technology

[0002] Power management systems are widely used in user-side substations and distribution stations in industries such as manufacturing, commerce, parks, transportation, and shipping. They enable monitoring, alarming, power data acquisition, storage, statistical analysis, and optimized control of user-side substations and distribution systems. After deployment, power management systems require complex manual debugging, including configuring communication access parameters, configuring monitoring interfaces, generating statistical reports, customizing analysis reports, setting alarm thresholds, and system integration. Currently, the quality inspection of on-site debugging of power management systems mainly relies on engineers manually checking and verifying all screens, curves, and reports. This method suffers from low efficiency, incomplete coverage, heavy reliance on personnel experience, and inconsistent inspection standards. In recent years, the rapid development of various industries has led to a rapid increase in the scale of user substations and distribution systems, with a significant increase in the number of substations and distribution stations. The number of 10kV and 0.4kV incoming and outgoing circuits has surged, sometimes reaching around 2000. The aforementioned drawbacks of traditional manual inspection methods have become increasingly apparent, making them unsuitable for the quality inspection needs of large-scale substations and distribution systems.

[0003] A search revealed Chinese Patent Publication No. CN117251810A, which discloses a method and system for substation equipment status assessment and early warning based on a digital twin platform. This method analyzes data from the substation's SCD file, monitoring system, and intelligent inspection system to create a basic equipment information mapping table, matches the corresponding assessment algorithms and evaluation rules, instantiates the equipment assessment object, and assesses and warns of the equipment's operating status. However, this solution primarily focuses on health status monitoring after equipment commissioning, assessing only the physical equipment itself and neglecting to address the debugging quality inspection of software systems such as the overall configuration of the power management system, monitoring screens, and report curves. Furthermore, while it can assess equipment status, it fails to dynamically trace and locate problems discovered during commissioning.

[0004] Therefore, how to achieve automated analysis, multi-dimensional intelligent reasoning verification, and rapid location of the root cause of problems in the field commissioning results of the power management system, given the characteristics of large scale, numerous circuits, and wide range of measurement points of user-side transformers and power distribution systems, is a technical problem that needs to be solved. Summary of the Invention

[0005] The purpose of this invention is to overcome the defects of the prior art by providing a power management system on-site commissioning quality inspection platform and method.

[0006] The objective of this invention can be achieved through the following technical solutions: According to a first aspect of the present invention, a field commissioning quality inspection platform for a power management system is provided, comprising: The input module is used to obtain the configuration data and operation data of the target power management system, and import information describing the primary-side equipment topology and secondary-side communication topology of the target power management system. The rule management module is used to store a reasoning rule base established based on expert experience. The reasoning rule base includes reasoning rules at multiple levels, divided according to measurement points, equipment, loops, and system cascading relationships. The intelligent identification module is connected to the input module and the rule management module respectively. Based on the configuration data and topology information obtained by the input module, it automatically identifies the hierarchical structure in the target power management system and the equipment information under each level, and establishes the attribution relationship between the equipment and the corresponding measurement point. Based on the identification results, it matches the corresponding reasoning rules for each level of object; the level includes area, station, bus, and circuit. The quality inspection module is connected to the input module, the intelligent recognition module, and the rule management module respectively. Based on the matching inference rules, it automatically inspects the running data obtained from the input module and performs dynamic logical tracing when an anomaly is detected to locate the possible cause of the anomaly.

[0007] As a preferred technical solution, the reasoning rule base in the rule management module specifically includes: A single inference rule is used to make a threshold judgment based on the attributes of a single analog measurement point or state measurement point. Composite reasoning rules are used to conduct comprehensive analysis and judgment based on the logical relationships between multiple related measuring points within the same monitoring or protection equipment. The loop reasoning rule performs a comprehensive consistency verification based on the electrical and physical characteristics of the loop for all relevant measuring points of measuring instruments, control equipment and protection equipment under the same power distribution loop. Cascaded reasoning rules establish consistency criteria for different circuits, buses, stations, or areas with hierarchical relationships, based on the relationships of voltage, current, power, electrical energy, and events between the upper and lower level circuits.

[0008] As a preferred technical solution, the intelligent recognition module is specifically used for: The primary-side equipment topology data is analyzed to identify primary equipment, circuit characteristics, and cascading relationships; the primary-side equipment topology data includes the primary system as-built diagram; The data of the secondary-side communication topology is analyzed to identify the model, configuration, and correspondence between the secondary equipment and the primary equipment and circuits; the data of the secondary-side communication topology includes a communication topology dictionary; The configuration library and monitoring screen of the power management system are analyzed to identify the measurement point information and its relationship with graphics and reports; The identified primary-side structure and secondary-side data are logically compared and analyzed to summarize the mismatch information.

[0009] As a preferred technical solution, the input module has two operating modes: In the embedded mode, the target power management system is directly connected as a subsystem, and its configuration library and database are read in real time. In mirror mode, a mirror subsystem is built locally that is completely identical to the configuration of the target power management system, and data is obtained from the mirror subsystem.

[0010] As a preferred technical solution, when the quality inspection module discovers a data or event error, it starts from the error result and traces back to the intermediate calculation variables it depends on until it locates the original data acquisition point or configuration parameter that caused the error.

[0011] As a preferred technical solution, the platform also includes a report generation module, which is used to classify and summarize the inspection results of the quality inspection module according to the nature of the problem, and generate a debugging quality inspection report.

[0012] As a preferred technical solution, the nature of the problem includes secondary wiring problems, incorrect equipment parameter settings, incorrect system configuration, incorrect data association, abnormal communication status, and equipment malfunction.

[0013] According to a second aspect of the present invention, a method for on-site commissioning quality inspection of a power management system based on the platform is provided, comprising: Obtain the configuration and operation data of the target power management system, and import the information describing the primary-side equipment topology and secondary-side communication topology of the target power management system; Based on the acquired data and information, the system automatically identifies the correspondence between the area, station, busbar, circuit and its associated equipment of the tested system and the measurement points. Based on the correspondence between the identified measurement points and each classification level, the system matches the corresponding reasoning rules for each classification level. Based on the matching inference rules, the acquired runtime data is automatically checked, and when an anomaly is found, dynamic logical tracing is performed to locate the cause of the anomaly. The test results are categorized and summarized to generate a debugging quality inspection report.

[0014] As a preferred technical solution, the dynamic logic tracing specifically includes: when the inspection finds a data error or alarm event, starting from the error or alarm result, tracing back to the intermediate calculation variables it depends on, until the possible root cause of the error or alarm is located. The possible root cause includes at least secondary wiring problems, incorrect device parameter settings, and data association errors.

[0015] As a preferred technical solution, matching corresponding reasoning rules for each classification level specifically includes: To match a single inference rule to the test point; A composite inference rule for matching multiple related measurement points within the same device to measurement points; Loop reasoning rules for matching measurement points with relevant measurement points of all protection, instrumentation, and measurement and control equipment under the same loop; Cascaded reasoning rules for matching measurement points with different classification levels of different loops, buses, stations, or areas that have hierarchical relationships.

[0016] Compared with the prior art, the present invention has the following advantages: 1. This invention obtains system configuration data and topology information through an input module, automatically parses and establishes the attribution relationship between measurement points and equipment through an intelligent identification module, establishes corresponding hierarchical rules in the reasoning rule library for different levels of matching for measurement points, and then the quality inspection module automatically inspects the debugged operating data according to the matching rules, and performs dynamic logical tracing when an anomaly is found, thereby realizing automated analysis, multi-dimensional intelligent reasoning inspection, and rapid location of the root cause of problems in the power management system.

[0017] 2. The multi-level reasoning rule base of this invention covers the measurement point, multiple related measurement points within the equipment to which the measurement point belongs, related measurement points of all protection, instruments, and measurement and control equipment under the circuit to which the measurement point belongs, as well as related measurement points of different circuits, buses, stations, or areas to which the circuit to which the measurement point belongs has a hierarchical relationship. It can adapt to the characteristics and needs of different levels of quality inspection scenarios and effectively reduce the reliance on human experience.

[0018] 3. This invention supports two deployment modes through the input module: embedded mode and mirror mode. It can seamlessly connect with the field operation system to achieve real-time inspection, or it can perform offline inspection by establishing a completely consistent mirror subsystem. It is flexible in deployment, highly applicable, and does not affect the normal operation of the field system.

[0019] 4. This invention uses a quality inspection module to automatically inspect the debugged running data according to matching rules, and performs dynamic logical tracing when anomalies are found. This can quickly locate the root cause of the problem, improve the efficiency and accuracy of quality inspection, and effectively solve the problems of low efficiency and difficulty in tracing traditional manual inspection.

[0020] 5. This invention uses a report generation module to classify, summarize, and statistically analyze inspection results according to categories such as secondary wiring, equipment parameter settings, system configuration, and communication status, forming a standardized commissioning quality inspection report. This facilitates on-site personnel to conduct phased self-inspections to identify problems, coordinate and resolve defects in a timely manner, and enable project managers to accurately grasp the commissioning quality status. This improves quality inspection efficiency, reduces manpower input, unifies inspection standards, and effectively ensures the quality of system delivery. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the quality inspection platform of the present invention; Figure 2 This is a schematic diagram of a single reasoning rule of the present invention; Figure 3 This is a schematic diagram of the composite reasoning rules of the present invention; Figure 4 This is a schematic diagram of the loop reasoning rules of the present invention; Figure 5 This is a schematic diagram of the intelligent identification module of the present invention parsing primary side topology data; Figure 6 This is a schematic diagram of the intelligent identification module of the present invention analyzing secondary side communication topology data. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] Example 1: This embodiment provides a field commissioning quality inspection platform for a power management system, such as... Figure 1 As shown, the platform includes: input module 1, rule management module 2, intelligent recognition module 3, quality inspection module 4, and report generation module 5.

[0024] Input module 1: Input module 1 serves as the interface module for the entire testing platform, responsible for acquiring various data and auxiliary information from the target power management system under testing. To enable flexible deployment, input module 1 in this embodiment supports two operating modes: Embedded Mode: In this mode, Input Module 1 runs directly within the power management system already deployed at the project site, acting as an independent front-end software module. The on-site power management system is then integrated into this testing platform, becoming its front-end subsystem. Input Module 1 incorporates the configuration library, graphs, curves, reports, real-time database, and historical database of this front-end subsystem as direct components of this testing platform, enabling seamless data integration and real-time access.

[0025] Mirror Mode: Input Module 1 can also be deployed on the same or multiple computers as the main program of the testing platform. In this mode, Input Module 1 reads all data from the system configuration library, monitoring graphics, charts, curves, historical events, and real-time and historical databases of the field power management system through a standard data interface. Subsequently, based on this data, a mirror subsystem completely identical to the field system is built within the testing platform. All subsequent testing operations are performed on the mirror subsystem, avoiding interference or burden on the field operating system.

[0026] In addition to acquiring data from the power management system itself, input module 1 also has an external data import function. It supports importing the following two key types of auxiliary data: Primary equipment topology data: such as DXF or PDF format primary system as-built drawings, which describe the physical connection relationships and topology of primary equipment (such as transformers, circuit breakers, busbars, disconnectors) in substations and distribution stations.

[0027] Secondary communication topology data: such as a system communication topology dictionary in Excel or CSV format. This data describes the model and communication parameters (such as serial port, IP address, device address) of all secondary devices (such as intelligent meters, protection and control devices, and communication management units), and clarifies the correspondence between each secondary device and primary device and circuit.

[0028] Rule Management Module 2: Rule management module 2 stores a multi-layered inference rule base built upon the experience of domain experts. The inference rule base mainly comprises the following four layers: Single inference rule: For a single analog measurement point, status measurement point, communication status, alarm information, an independent inference criterion is established according to its own attributes. Only the operating data of a single measurement point is judged, without checking the status of other related measurement points or equipment. It is the basic rule of quality inspection.

[0029] like Figure 2As shown, taking a specific measurement point as the quality inspection object, the execution logic of a single inference rule is as follows: First, the target measurement point is obtained from the input module. After determining that the measurement point type is a voltage measurement point, the basic attributes of the voltage measurement point are further obtained, including the voltage level, PT connection method, and PT ratio. Then, it is determined whether the measurement point is a phase voltage or a line voltage, and the corresponding normal operating voltage range limit is generated. The measurement point value is compared with the normal range limit to determine whether it exceeds the limit. If it does not exceed the limit, a quality inspection result indicating that the voltage measurement point is operating normally is given. If it exceeds the limit, it is further determined whether it exceeds the upper limit or the lower limit, and the corresponding quality inspection result is given directly without associating with other measurement point data.

[0030] Composite reasoning rules: For quality inspection of a single measurement point, multi-condition composite reasoning rules are established based on different quality inspection objectives for the analog measurement points, status measurement points, communication status, etc., within a single measuring instrument, control equipment, or protection equipment.

[0031] like Figure 3 As shown, taking a specific measuring point as the quality inspection object, the system first obtains the target measuring point from the input module. After determining that the measuring point type is a voltage measuring point, it further obtains the voltage level, PT connection method, and PT ratio of the measuring point, and determines whether the measuring point is phase voltage or line voltage. It then generates the corresponding normal operating voltage range for the measuring point, which serves as the threshold judgment basis. The target voltage measuring point value is compared with the normal operating range limit to determine whether it exceeds the limit: if it does not exceed the limit, the quality inspection result is directly given: the voltage is normal; if it exceeds the limit, it is further determined whether it exceeds the upper limit or the lower limit. If it exceeds the upper limit, a separate upper limit processing procedure is initiated. Figure 3 The key focus is on demonstrating the subsequent composite verification logic for voltages exceeding the lower limit. When the target phase voltage exceeds the lower limit, the data from the other two phase voltage measurement points of the equipment to which this measurement point belongs is obtained to determine if any voltage is within the normal range. If any voltage is normal, a quality inspection result is directly given: the voltage is abnormal and exceeds the lower limit; possible causes include a blown secondary voltage fuse, a broken secondary voltage connection, a blown primary fuse on the TV high-voltage side, a primary phase loss, or an abnormality in the corresponding voltage detection channel of the device. If the other two phase voltages are both abnormal, the process proceeds to the next parameter verification stage. The target phase current measurement point data of the equipment is retrieved, and the CT ratio of this measurement point is obtained and the normal operating current range is calculated to determine if the current of the corresponding phase of the target measurement point is normal. If the phase current is normal, a quality inspection result is given: the voltage is abnormal; possible causes include... Figure 3 If the current in phase 1, 2, 3, 5, 6, 8, 9, or 10 is abnormal, continue checking the current measurement points of the other two phases in the same equipment to determine if any phase current is within the normal range. If any current is normal, provide the quality inspection results. If the voltage is abnormal and exceeds the lower limit, possible causes include... Figure 3 If the current in phases 1, 2, 3, 4, 5, 6, 8, 9, or 10 is abnormal, the final quality inspection result is given: all voltages and currents are abnormal, and possible causes include... Figure 3The correct answer is 5, 6, 7, 8, 9, or 10.

[0032] Loop reasoning rules: This level of rules establishes reasoning rules for the voltage, current, power factor, power, energy, status changes, alarms, and communication status of all measuring instruments, control equipment, and protection equipment in the loop to which the measuring point belongs.

[0033] like Figure 4 As shown, taking a specific measuring point as the quality inspection object for total active power, for a 10kV distribution circuit with PT three-phase star connection and 3CT configuration, the circuit reasoning rules include: To obtain the target circuit's quality monitoring point, first determine if the monitoring point type is a total active power monitoring point. If not, proceed to the dedicated circuit reasoning rule processing flow for other parameters. If so, enter the circuit basic parameter acquisition stage to obtain the core basic parameters of the 10kV circuit, including the voltage level, PT connection method and ratio, and CT ratio. Simultaneously, obtain the voltage, current, active power, reactive power, power factor, and energy consumption data of the equipment associated with the monitoring point. Based on the load characteristics of the distribution circuit, and combined with the aforementioned voltage level, PT ratio, and CT ratio parameters, generate the normal operating range limits for each electrical parameter of the circuit, specifically including the normal operating voltage range, current range, active power range, reactive power range, and power factor range.

[0034] The total active power is inspected to determine whether it is within the generated normal operating range: If normal, give the quality inspection conclusion directly: the total active power data of this circuit is normal; If one or more phases exhibit abnormalities in active or reactive power exceeding limits (>Pa<, >Pb<, >Pc<) or (>Qa<, >Qb<, >Qc<), the process for evaluating the active and reactive power of each phase is initiated, including consistency verification of all power parameters and checking for exceeding limits in voltage and current of each phase. If all power parameters are normal and voltage and current parameters are normal, the quality inspection conclusion is given: the relevant power, voltage, and current measurement data are normal. If the total power parameters exceed limits, the excess active and reactive power of each phase is checked, along with the excess voltage and current. These parameters are compared with the corresponding parameters of other measurement and control or protection equipment in this circuit. A comprehensive analysis, calculation, and evaluation are conducted to pinpoint the possible root cause of the power anomaly.

[0035] The process includes checking for voltage over-limit assessments, retrieving the three-phase voltage (Ua, Ub, Uc) data from the measuring instrument corresponding to the circuit's measuring point, comparing it with the generated normal operating voltage range limits, and determining whether there is a voltage anomaly. If all three-phase voltages are within the normal range, it is determined that there is no abnormality in each voltage, and the quality inspection conclusion is given: the total power exceeding the limit is unrelated to the voltage. If one or more phases have voltages below the lower limit (Ua<, Ub<, Uc<) or above the upper limit (Ua>, Ub>, Uc>), for the abnormal phase, further analyze and locate the possible causes of the corresponding voltage abnormality by combining current limit assessment, and record the quality inspection conclusions simultaneously.

[0036] Among them, the current over-limit assessment involves retrieving the three-phase current (Ia, Ib, Ic) data from the measuring instrument corresponding to the measuring point in the circuit, comparing it with the generated normal operating current range limit, and making a comprehensive analysis and judgment based on the voltage verification results. If all three-phase currents are within the normal range, it is determined that there is no abnormality in the current of each phase, and the quality inspection conclusion is given: the total power exceeding the limit is unrelated to the current. If one or more phases have currents below the lower limit (Ia<, Ib<, Ic<) or above the upper limit (Ia>, Ib>, Ic>): If it is above the upper limit, the current of the corresponding phase is determined to be too high, resulting in abnormal power; if one or more phases have currents below the normal lower limit, it is determined to be low current of the corresponding phase; further determine whether at least one phase current is normal. If so, mark the current problem of the abnormal phase separately. If not, it is determined that the current of all phases in the circuit is abnormal, and trace and analyze the possible causes of the current abnormality; if the voltage and current of all phases are abnormal, it is directly determined that the voltage and current of all three phases in the circuit are abnormal, and the possible causes are located as primary side fault tripping, circuit wiring problems, etc.

[0037] If the target circuit is equipped with a measurement and control or protection device, further retrieve all the same source electrical parameters of the protection and measurement and control device, and cross-compare them with the corresponding data of the measuring instrument: if the deviation of the two source data is within a reasonable range, it is confirmed that there is an electrical operation abnormality in the circuit, and a specific abnormality judgment is given based on the previous verification results; if the deviation of the two source data exceeds a reasonable range, the electrical operation abnormality in the field is ruled out, the measurement point is determined to be abnormal, and the possible cause is located. For example, in voltage over-limit assessment: retrieve the voltage of the corresponding phase of other measurement and control or protection devices, and first confirm whether the voltage data of the corresponding device is normal; if only the voltage data of this device is abnormal, it can be determined that the voltage value of this device is abnormal in this step; if the voltage of the corresponding phase of the measurement and control or protection device is also abnormal, further determine whether the voltage of other phases of the measurement and control or protection device is normal: if the voltage is normal, the voltage of the corresponding phase of the measurement and control or protection device is determined to be abnormal; otherwise, it points to a voltage problem in each phase of the circuit. The same principle applies to current over-limit assessment: retrieve the current of the corresponding phase from other measurement and control or protection devices, and first confirm whether the current data of that device is normal; if the current of the corresponding phase of other devices is also abnormal, then it can be determined that the electrical operation on site is abnormal in this step; if only the current of this device is abnormal, then it is determined that the current of this device is abnormal.

[0038] If the phase voltage and current parameters do not exceed the limits, but the phase power parameters are abnormal, further calculate the corresponding voltage and current phase angles for each phase voltage, current, and power factor to determine if there is a secondary wiring problem. If there is a wiring polarity or phase sequence error, locate the specific polarity and phase sequence error combination of the secondary wiring of the positioning circuit and clarify the direction for rectification of the secondary wiring.

[0039] Based on the results of the above voltage, current, and power parameter verification, cross-device data comparison, and wiring phase sequence verification, the dynamic logic tracing of the subsequent quality inspection module provides an overall quality inspection judgment for the target 10kV circuit, specifically including: normal circuit data, abnormal voltage / current in a certain phase, overload / no current in a certain phase, incorrect wiring / phase sequence, and abnormal data acquisition by measuring instruments / protection and control devices.

[0040] Cascaded Reasoning Rules: These rules establish reasoning principles for voltage, current, power factor, power, energy, status changes, and alarms based on different hierarchical relationships such as circuits, busbars, substations, and areas. For example: Energy and Power Balance Criterion: This checks whether the total active power of the incoming line cabinets is approximately equal to the sum of the active power of all outgoing line cabinets under that busbar section (considering reasonable line losses). If there is a significant long-term difference, it indicates a possible missing measurement point, an incorrect outgoing line metering, or a system configuration problem. Voltage Consistency Criterion: This checks whether the voltage values ​​of all circuits (including incoming lines, bus couplers, and outgoing lines) on the same busbar section are basically consistent. If the voltage of an outgoing line cabinet deviates significantly from the busbar voltage, it suggests a potential problem with the voltage measurement of that circuit. Status Quantity Logic Criterion: This checks whether the status of upstream and downstream switches conforms to operational logic. For example, when the busbar is energized, its downstream incoming line switches should not be in the open position.

[0041] Intelligent recognition module 3: The intelligent identification module 3 is connected to both the input module 1 and the rule management module 2. Based on the configuration data and topology information obtained from the input module 1, it automatically identifies the hierarchical structure of areas, substations, buses, and circuits in the target power management system, as well as the equipment information at each level. It then establishes the attribution relationship between the equipment and its corresponding measurement points. Based on the identification results, it matches corresponding reasoning rules for each level of object. Its specific workflow is as follows: Analyzing primary side topology data: such as Figure 5 As shown, the imported primary system as-built drawings are subjected to image recognition and logical analysis to extract the hierarchical structure of areas, stations, busbars, and circuits (such as incoming line cabinets, outgoing line cabinets, and bus tie cabinets), and the primary equipment (circuit breakers and disconnecting switches) and their cascading connections are identified.

[0042] Analysis of secondary side communication topology data: such as Figure 6As shown, the imported communication topology dictionary is parsed to identify the model, communication address, and serial port information of all secondary devices (such as PZ96 instruments), and each secondary device is associated with a specific circuit on the primary side according to the corresponding relationship recorded in the data.

[0043] Parsing power management system data: This involves parsing the system configuration library, monitoring graphics, and report files obtained from the field system or established in the mirror system to identify all the measurement points configured in the system, as well as the relationships between these measurement points and the graphic elements on the monitoring screen and the cells in the reports.

[0044] The identified primary-side topology data, secondary-side communication topology data, and measurement point association information are cross-compared logically to verify the matching between the system configuration, monitoring graphics, charts, and curves of the on-site power management system. Specifically, this includes: whether the cabinet number / circuit name is consistent with the labeling in the as-built drawings and monitoring screens; whether the system configuration of the CT / PT ratio is consistent with the actual equipment; whether the association between measurement points and reports / curves is correct; and whether the correspondence between secondary equipment and primary circuits matches. All mismatched information is categorized and summarized to form a mismatch list, providing a basis for subsequent quality inspection.

[0045] Based on the hierarchical relationship between measurement points, equipment, circuits, busbars, and areas, all intelligently identified quality inspection objects are matched with the four-level inference rules in the rule management module: a single inference rule is matched for a single measurement point; a composite inference rule is matched for a single measurement point to multiple related measurement points within its equipment; the circuit inference rules for all equipment and related measurement points within the circuit to which a single measurement point belongs are matched for a single measurement point; and the cascade inference rules for the corresponding range with hierarchical relationships are matched for a single measurement point. A quality inspection object and inference rule matching list is generated, providing a basis for the automated quality inspection of the quality inspection module.

[0046] Quality Inspection Module 4: The quality inspection module 4 is connected to the input module 1, the intelligent recognition module 3, and the rule management module 2, and is responsible for executing specific automated inspection tasks.

[0047] The system retrieves the required real-time data or data for a specified historical period from input module 1. Based on the rules matched by intelligent identification module 3, the data is examined item by item and layer by layer. Users can flexibly select the inspection scope through the platform interface, for example, selecting "10kV I-section busbar of substation #1" for inspection, or selecting "the entire system" for comprehensive inspection. When problems such as data errors, event inconsistencies, measurement point exceeding limits, or mismatches are detected, the quality inspection module initiates the dynamic logic tracing analysis function. Its core logic is: starting from the erroneous result, tracing back along the data flow and logic chain of the target power management system, automatically deducing all source measurement points, equipment configurations, and data calculation steps leading to the erroneous result in the field system or mirror subsystem, locating the possible causes of the problem, and simultaneously caching each step of the tracing analysis process, results, and possible causes, and generating a problem log containing information such as problem number, problem location, problem type, tracing process, and possible causes.

[0048] Report generation module 5: The report generation module 5 is connected to the quality inspection module 4 and is responsible for organizing, classifying, and summarizing the inspection results to generate a structured quality inspection report. The report generation module categorizes and summarizes different types of problems according to subsystems / stations, including wiring, equipment parameter settings, system configuration, data association, communication anomalies, and equipment anomalies. This includes summarizing the information and quantity of circuits and equipment with data anomalies, lightly loaded circuits, debugged / undebugged circuits or equipment, and circuits and equipment that have successfully communicated but are offline, thus generating a commissioning quality inspection report to facilitate relevant coordination personnel in addressing the issues and promptly eliminating defects.

[0049] This invention platform, through the combination of an input module, a rule management module, an intelligent recognition module, a quality inspection module, and a report generation module, achieves automated, intelligent, and comprehensive inspection of the on-site commissioning results of the power management system. It can efficiently discover various problems in the system, perform in-depth logical tracing, improve the efficiency and accuracy of commissioning quality inspection, reduce reliance on human experience, and effectively ensure the delivery quality of the power management system.

[0050] Example 2: This invention provides a method for on-site commissioning quality inspection based on a power management system, the method comprising: Step S1: Data and Information Acquisition. Through the input module, acquire the configuration data, real-time database, and historical database of the field power management system, and import information describing the primary-side equipment topology and secondary-side communication topology of the system. The acquisition method can be selected as either embedded mode (running directly in the field system) or mirror mode (creating a completely identical mirror subsystem) depending on the field conditions.

[0051] Step S2: System intelligent identification and rule matching. Based on the data and information obtained in step S1, the intelligent identification module performs the following sub-steps: Analyze the primary side equipment topology data to identify the hierarchical structure of areas, stations, buses, circuits, and the cascading relationships between primary equipment; Analyze the secondary side communication topology data, identify the model and configuration information of all secondary devices, and establish their correspondence with primary devices and circuits; The system analyzes the configuration library, monitoring screens, charts, curves, and historical events of the power management system to identify all measurement point information and their correlation with graphics, reports, and curves. The identified measurement points are precisely matched with the loaded inference rules to generate a quality inspection object and inference rule matching list, which is then synchronized to the quality inspection module. Specifically, a single rule directly matches to the measurement point; a composite rule matches to multiple related measurement points within the equipment to which the measurement point belongs; a loop rule matches to related measurement points in all protection, instrumentation, and control equipment within the loop to which the measurement point belongs; and a cascade rule matches to related measurement points in different loops, buses, stations, or areas with hierarchical relationships within the loop to which the measurement point belongs.

[0052] Step S3: Automated Quality Inspection and Dynamic Traceability. The quality inspection module automatically inspects the real-time and / or historical data obtained from the input module according to the inference rules matched in Step S2. It acquires relevant measurement point data within a specified range. The module then applies matched single, composite, loop, and cascade inference rules layer by layer to analyze and evaluate the accuracy, consistency, and rationality of the data. When an error is detected in the data or event, the process starts from the erroneous result and traces back along the data flow and logic chain, checking the intermediate calculation links and the source measurement points in sequence until the root cause of the error is located, and then caches the test analysis results.

[0053] Step S4: Inspection Report Generation. The report generation module categorizes and summarizes the inspection results from the quality inspection module.

[0054] The problems are divided into chapters by subsystem or station, and categorized according to their nature, such as secondary wiring problems, equipment parameter setting errors, data association errors, system configuration, communication anomalies, and equipment anomalies. The problem data is also quantitatively statistically analyzed, such as the number of wiring problems, data association errors, equipment parameter setting errors, communication anomalies, abnormal circuits, and light-load circuits. Generate a debugging quality inspection report that includes a problem list, statistical analysis, and quality evaluation, so that relevant personnel can handle problems and manage quality.

[0055] The method of this invention acquires on-site system data and topology information through an input module, automatically analyzes the correspondence between the system structure and equipment measurement points through an intelligent identification module, and matches multi-level inference rules for each level of object. Then, the quality inspection module automatically inspects the operating data based on the matching rules, and dynamically traces the root cause of the problem when an anomaly is found. Finally, the report generation module classifies and summarizes the data to generate an inspection report. This method achieves full-coverage automated inspection of the commissioning quality of the power management system, improves inspection efficiency, and reduces reliance on human experience.

[0056] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A field commissioning quality inspection platform for a power management system, characterized in that, include: The input module is used to obtain the configuration data and operation data of the target power management system, and import information describing the primary-side equipment topology and secondary-side communication topology of the target power management system. The rule management module is used to store a reasoning rule base established based on expert experience. The reasoning rule base includes reasoning rules at multiple levels, divided according to measurement points, equipment, loops, and system cascading relationships. The intelligent identification module is connected to the input module and the rule management module respectively. Based on the configuration data and topology information obtained by the input module, it automatically identifies the hierarchical structure in the target power management system and the equipment information under each level, and establishes the attribution relationship between the equipment and the corresponding measurement point. Based on the identification results, it matches the corresponding reasoning rules for each level of object; the level includes area, station, bus, and circuit. The quality inspection module is connected to the input module, the intelligent recognition module, and the rule management module respectively. Based on the matching inference rules, it automatically inspects the running data obtained from the input module and performs dynamic logical tracing when an anomaly is detected to locate the possible cause of the anomaly.

2. The power management system on-site commissioning quality inspection platform according to claim 1, characterized in that, The reasoning rule base in the rule management module specifically includes: A single inference rule is used to make a threshold judgment based on the attributes of a single analog measurement point or state measurement point. Composite reasoning rules are used to conduct comprehensive analysis and judgment based on the logical relationships between multiple related measuring points within the same monitoring or protection equipment. The loop reasoning rule performs a comprehensive consistency verification based on the electrical and physical characteristics of the loop for all relevant measuring points of measuring instruments, control equipment and protection equipment under the same power distribution loop. Cascaded reasoning rules establish consistency criteria for different circuits, buses, stations, or areas with hierarchical relationships, based on the relationships of voltage, current, power, electrical energy, and events between the upper and lower level circuits.

3. The power management system on-site commissioning quality inspection platform according to claim 1, characterized in that, The intelligent recognition module is specifically used for: The primary-side equipment topology data is analyzed to identify primary equipment, circuit characteristics, and cascading relationships; the primary-side equipment topology data includes the primary system as-built diagram; The data of the secondary-side communication topology is analyzed to identify the model, configuration, and correspondence between the secondary equipment and the primary equipment and circuits; the data of the secondary-side communication topology includes a communication topology dictionary; The configuration library and monitoring screen of the power management system are analyzed to identify the measurement point information and its relationship with graphics and reports; The identified primary-side structure and secondary-side data are logically compared and analyzed to summarize the mismatch information.

4. The power management system on-site commissioning quality inspection platform according to claim 1, characterized in that, The input module has two operating modes: In the embedded mode, the target power management system is directly connected as a subsystem, and its configuration library and database are read in real time. In mirror mode, a mirror subsystem is built locally that is completely identical to the configuration of the target power management system, and data is obtained from the mirror subsystem.

5. The power management system on-site commissioning quality inspection platform according to claim 1, characterized in that, When the quality inspection module detects data or event errors, it starts with the erroneous result and traces backwards to the intermediate calculation variables it depends on until it locates the original data acquisition point or configuration parameter that caused the error.

6. The power management system on-site commissioning quality inspection platform according to claim 1, characterized in that, The platform also includes a report generation module, which is used to classify and summarize the inspection results of the quality inspection module according to the nature of the problem and generate a debugging quality inspection report.

7. The power management system on-site commissioning quality inspection platform according to claim 6, characterized in that, The nature of the problems includes secondary wiring issues, incorrect device parameter settings, incorrect system configuration, incorrect data association, abnormal communication status, and device malfunction.

8. A method for on-site commissioning quality inspection of a power management system based on any one of the platforms described in claims 1-7, characterized in that, include: Obtain the configuration and operation data of the target power management system, and import the information describing the primary-side equipment topology and secondary-side communication topology of the target power management system; Based on the acquired data and information, the system automatically identifies the correspondence between the area, station, busbar, circuit and its associated equipment of the tested system and the measurement points. Based on the correspondence between the identified measurement points and each classification level, the system matches the corresponding reasoning rules for each classification level. Based on the matching inference rules, the acquired runtime data is automatically checked, and when an anomaly is found, dynamic logical tracing is performed to locate the cause of the anomaly. The test results are categorized and summarized to generate a debugging quality inspection report.

9. The method for on-site commissioning quality inspection of the power management system according to claim 8, characterized in that, The dynamic logic tracing specifically includes: when an error or alarm event is detected during inspection, starting from the error or alarm result, tracing back to the intermediate calculation variables it depends on until the possible root cause of the error or alarm is located. The possible root cause includes at least secondary wiring problems, incorrect device parameter settings, and data association errors.

10. The method for on-site commissioning quality inspection of the power management system according to claim 8, characterized in that, The inference rules for matching each classification level include: To match a single inference rule to the test point; A composite inference rule for matching multiple related measurement points within the same device to measurement points; Loop reasoning rules for matching measurement points with relevant measurement points of all protection, instrumentation, and measurement and control equipment under the same loop; Cascaded reasoning rules for matching measurement points with different classification levels of different loops, buses, stations, or areas that have hierarchical relationships.

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