Method and device for testing the monitoring function of a smart recorder

Abstract

The application relates to a kind of intelligent recording wave monitor function test method, device, computer equipment, computer readable storage medium and computer program product.The method comprises: extracting the device type of secondary equipment intelligent electronic device model, cable connection information, station control layer data signal and process layer data signal in model file;Device model and device model library and loop connection diagram are constructed;Based on station control layer data signal, process layer data signal, device model library and loop connection diagram, the simulation interaction environment of secondary circuit in transformer substation is constructed, and the state simulation data of secondary circuit in transformer substation is generated;Determine the state information in state simulation data, and based on the preset rule, the state information is abnormally diagnosed, and the abnormal diagnosis result is obtained;Based on the abnormal diagnosis result, abnormal correction is carried out, and the correction result is obtained;The model file is modified, and the final model file is obtained.The reliability of test result can be improved by using the method.

Description

Technical Field

[0001] This application relates to the field of equipment function monitoring technology, and in particular to a test method, apparatus, computer equipment, computer-readable storage medium, and computer program product for monitoring the function of an intelligent waveform recorder. Background Technology

[0002] Intelligent waveform recorders are core devices in power systems used to monitor and record parameters such as voltage and current. Their online monitoring function for secondary cable circuits mainly displays the composition, logic, and status of all secondary cable circuits in a substation in a graphical manner. Centered on the selected protection device, it displays the cable connection status with other devices, which is an important support for power system fault waveform analysis, equipment status monitoring, and safe operation and maintenance.

[0003] In related technologies, the online monitoring function test of secondary cable circuits of existing intelligent waveform recorders relies on manual operation, which cannot achieve automated integrated testing. The testing efficiency is extremely low, and human error is prone to occur in manual analysis of models, drawing of circuit diagrams, correlation of signals and judgment of status, resulting in insufficient test accuracy. This cannot meet the high-efficiency testing requirements of large-scale secondary cable circuits in substations, thereby affecting the reliability of the monitoring function of intelligent waveform recorders and posing hidden dangers to the safe operation and maintenance of power systems. Summary of the Invention

[0004] Therefore, it is necessary to provide a test method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can provide intelligent waveform recorder monitoring function with test reliability to address the above-mentioned technical problems.

[0005] Firstly, this application provides a testing method for the monitoring function of an intelligent waveform recorder, including:

[0006] Obtain the model file of the secondary circuit in the substation;

[0007] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0008] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0009] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0010] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0011] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0012] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0013] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0014] Based on the correction results, the model file is modified to obtain the final model file.

[0015] In one embodiment, the step of constructing a device model library for all secondary devices based on the device type includes:

[0016] Determine the graphic elements of the secondary equipment corresponding to the device type;

[0017] The graphic elements are combined to obtain the equipment models of all secondary devices, and identification information is added to the equipment models.

[0018] Based on the device model and the identification information, the device model is associated with the corresponding graphic elements to generate a device model library for secondary devices.

[0019] In one embodiment, the cable connection information includes the starting port, ending port, and connection path of the cable connection; generating a loop connection diagram of secondary cables in the substation based on the cable connection information and the equipment model library includes:

[0020] Determine the location of each secondary device in the device model library;

[0021] Based on the starting port, the ending port, and the connection path, the secondary equipment is connected to generate a loop connection diagram of the secondary cables in the substation.

[0022] In one embodiment, the construction of a simulation interactive environment for secondary circuits in a substation based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram includes:

[0023] Determine the element information and physical terminal information in the device model library and the circuit connection diagram;

[0024] Using the unique identifier of the graphic element information or the physical terminal information as the key, and the station control layer data signal and the process layer data signal as the value, establish an index of one-to-many relationships and keywords;

[0025] Based on the one-to-many relationship and the index, three types of associations are established between graphic element information and station control layer data signals, graphic element information and process layer data signals, and physical terminal information and process layer data signals, so as to obtain the simulation interaction environment of the secondary circuit in the substation.

[0026] In one embodiment, the status information includes at least one of the following: power supply status of the cable circuit, switch status, operating status of secondary equipment, cable temperature, cable circuit humidity, and alarm status.

[0027] In one embodiment, the preset rules include whether the equipment parameters in the substation are within a preset normal range, whether the switch status and the operating status of the secondary equipment in the substation meet the preset status, whether the connection relationship between the secondary equipment in the substation meets the preset connection requirements, and whether there is at least one fault in the substation, such as overload, short circuit, open circuit, wiring error, or equipment fault itself.

[0028] Secondly, this application also provides a test device for the monitoring function of an intelligent waveform recorder, comprising:

[0029] The acquisition module is used to acquire model files of secondary circuits in substations;

[0030] The extraction module is used to extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model in the model file;

[0031] A construction module is used to build a device model library for all secondary equipment based on the device type;

[0032] The generation module is used to generate a circuit connection diagram of secondary cables in the substation based on the cable connection information and the equipment model library.

[0033] The construction module is also used to construct a simulation interactive environment for secondary circuits in a substation based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram.

[0034] The generation module is also used to generate state simulation data of the secondary circuit in the substation based on the simulation interaction environment.

[0035] The diagnostic module is used to determine the state information in the state analog quantity data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results.

[0036] The correction module is used to perform anomaly correction based on the anomaly diagnosis results to obtain correction results;

[0037] The modification module is used to modify the model file based on the correction results to obtain the final model file.

[0038] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0039] Obtain the model file of the secondary circuit in the substation;

[0040] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0041] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0042] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0043] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0044] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0045] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0046] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0047] Based on the correction results, the model file is modified to obtain the final model file.

[0048] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0049] Obtain the model file of the secondary circuit in the substation;

[0050] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0051] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0052] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0053] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0054] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0055] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0056] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0057] Based on the correction results, the model file is modified to obtain the final model file.

[0058] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0059] Obtain the model file of the secondary circuit in the substation;

[0060] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0061] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0062] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0063] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0064] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0065] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0066] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0067] Based on the correction results, the model file is modified to obtain the final model file.

[0068] The testing method, apparatus, computer equipment, computer-readable storage medium, and computer program product for the aforementioned intelligent waveform recorder monitoring function firstly acquire model files of the secondary circuits in the substation; extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary device intelligent electronic device model from the model files; construct a device model library for all secondary devices based on the device type; generate a circuit connection diagram of the secondary cables in the substation based on the cable connection information and the device model library; construct a simulation interactive environment for the secondary circuits in the substation based on the station control layer data signals, process layer data signals, the device model library, and the circuit connection diagram; generate state analog quantity data of the secondary circuits in the substation based on the simulation interactive environment; determine the state information in the state analog quantity data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results; perform anomaly correction based on the anomaly diagnosis results to obtain correction results; and modify the model files based on the correction results to obtain the final model file. Thus, the integrated automated process of automatic model analysis, automatic loop diagram drawing, automatic signal association, automatic state judgment and correction, and deduction output completely replaces traditional manual operation, greatly improving testing efficiency and reducing labor costs. At the same time, it avoids human errors caused by manual analysis, drawing, and judgment, ensuring the accuracy of model analysis, signal association, and state judgment, and has an automatic anomaly correction function, significantly improving the accuracy and reliability of testing. Attached Figure Description

[0069] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0070] Figure 1 This is an application environment diagram of a test method for the monitoring function of an intelligent waveform recorder in one embodiment.

[0071] Figure 2 This is a flowchart illustrating a test method for the monitoring function of an intelligent waveform recorder in one embodiment.

[0072] Figure 3 This is a structural block diagram of a test device for monitoring the intelligent waveform recorder function in one embodiment.

[0073] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0074] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0075] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0076] The testing method for the intelligent waveform recorder monitoring function provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located in the cloud or on other network servers. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, drones, low-altitude aircraft, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. Server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0077] In one exemplary embodiment, such as Figure 2 As shown, a test method for the monitoring function of an intelligent waveform recorder is provided, which is then applied to... Figure 1 Taking terminal 102 as an example, the explanation includes the following steps 202 to 218. Wherein:

[0078] Step 202: Obtain the model file of the secondary circuit in the substation.

[0079] The secondary circuit is a low-voltage, low-current circuit system in a power system used to control, protect, measure, and monitor the operation of primary equipment. Primary equipment is high-voltage, high-current equipment directly used for the production, transmission, and distribution of electrical energy, while secondary equipment is low-voltage equipment used to control, protect, measure, and monitor the primary equipment.

[0080] For example, the model file of the secondary circuit in the substation is imported through the software interface. The model file contains relevant information about the models of all secondary equipment in the substation.

[0081] Step 204: Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file.

[0082] Optionally, extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary device intelligent electronic device model from the model file.

[0083] The device types include protection devices, measurement and control devices, intelligent terminals, merging units, process layer switches, and other related secondary equipment; cable connection information includes the starting port, ending port, and connection path of the cable connection; station control layer data signals are data information transmitted in the station control layer network of the substation for whole-station monitoring, management, and remote dispatching; process layer data signals are data signals transmitted in the process layer network of the substation for real-time acquisition of primary equipment electrical quantities and execution of operations.

[0084] Step 206: Based on the device type, construct a device model library for all secondary equipment.

[0085] For example, based on the device type, device models and a device model library are constructed for all secondary devices involved in the model file.

[0086] Step 208: Based on cable connection information and equipment model library, generate the loop connection diagram of secondary cables in the substation.

[0087] Optionally, based on the equipment model library and cable connection information in the substation, draw the loop connection diagram of the secondary cables for each secondary device in the substation.

[0088] Step 210: Based on the station control layer data signals, process layer data signals, equipment model library and circuit connection diagram, construct a simulation interactive environment for the secondary circuits in the substation.

[0089] For example, the station control layer data signals, process layer data signals, equipment model library and circuit connection diagram are interconnected to construct a simulation interactive environment for the secondary circuits in the substation.

[0090] Step 212: Based on the simulation interactive environment, generate the state simulation data of the secondary circuit in the substation.

[0091] Optionally, the system simulates real secondary equipment and sends analog status data of the secondary circuits collected by its online monitoring function to the intelligent waveform recorder, including analog data of the substation secondary equipment interacting with the intelligent waveform recorder under test.

[0092] Step 214: Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain the anomaly diagnosis result.

[0093] For example, the system receives state information from the state analog data determined by the intelligent waveform recorder, and performs anomaly diagnosis on the state information based on preset rules in the intelligent waveform recorder to obtain anomaly diagnosis results.

[0094] Step 216: Based on the abnormal diagnosis results, perform abnormal correction to obtain the correction results.

[0095] Optionally, based on the abnormal diagnosis results, the location and cause of the fault are determined, specifically the connection relationship, parameter settings, and data signal association of the secondary equipment. According to the preset algorithm, the parameter settings of the secondary equipment are automatically corrected, erroneous connection relationships are repaired, and the association information between data signals and graphic elements / physical terminals is corrected to obtain the correction results.

[0096] Step 218: Modify the model file based on the calibration results to obtain the final model file.

[0097] Optionally, the model file can be modified based on the calibration results to obtain the final model file.

[0098] The testing method for the monitoring function of the aforementioned intelligent waveform recorder involves: acquiring model files of the secondary circuits in the substation; extracting the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary intelligent electronic device model from the model files; constructing a device model library for all secondary devices based on the device type; generating a circuit connection diagram of the secondary cables in the substation based on the cable connection information and the device model library; constructing a simulation interactive environment for the secondary circuits in the substation based on the station control layer data signals, process layer data signals, the device model library, and the circuit connection diagram; generating state analog quantity data of the secondary circuits in the substation based on the simulation interactive environment; determining the state information in the state analog quantity data and performing anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results; performing anomaly correction based on the anomaly diagnosis results to obtain correction results; and modifying the model files based on the correction results to obtain the final model file. Thus, the integrated automated process of automatic model analysis, automatic loop diagram drawing, automatic signal association, automatic state judgment and correction, and deduction output completely replaces traditional manual operation, greatly improving testing efficiency and reducing labor costs. At the same time, it avoids human errors caused by manual analysis, drawing, and judgment, ensuring the accuracy of model analysis, signal association, and state judgment, and has an automatic anomaly correction function, significantly improving the accuracy and reliability of testing.

[0099] In an exemplary embodiment, a device model library for all secondary devices is constructed based on device type, including: determining the graphic elements of the secondary devices corresponding to the device type; combining the graphic elements to obtain device models for all secondary devices, and adding identification information to the device models; and associating the device models with the corresponding graphic elements based on the device models and identification information to generate a device model library for secondary devices.

[0100] In practical implementation, based on the device type, the physical characteristics and functional requirements of the corresponding secondary equipment are determined, and the corresponding graphic element types are determined (for example, protection devices require the design of graphic elements such as switches, relays, and sensors, while intelligent terminals require the design of graphic elements such as controllers and communication modules). According to the physical characteristics and functional requirements of the secondary equipment, the position, size, and style of the graphic elements are adjusted, and the various graphic element instances are combined into a complete equipment model. It is ensured that the connection relationship between the graphic elements conforms to the physical and electrical connection specifications of the equipment, and identification information such as name, model, and parameters are added to the equipment model. The equipment model is then associated with the corresponding graphic elements to generate a secondary equipment model library.

[0101] In some embodiments, primitives can be generated using professional drawing software or custom drawing tools and saved as vector graphics (e.g., SVG, DXF, etc.) or bitmap formats such as PNG and JPEG to form a primitive library.

[0102] In some embodiments, the equipment model library is stored in a database, including model information, parameter information and element association information of various secondary equipment. Equipment-related data is extracted from the model files and imported into the storage file (such as Excel, CSV or database). An index is created by equipment name or model to realize the rapid retrieval and association of equipment models, while supporting the updating and maintenance of the model library.

[0103] In the above embodiments, by transforming abstract secondary equipment types into standardized graphic elements and combining them into complete equipment models, the graphical and modular expression of secondary equipment is realized, making the equipment structure clear, intuitive, and easy to identify. By adding identification information to the model and establishing a one-to-one association between the equipment model and the graphic elements, an indexable, searchable, and maintainable equipment model library is formed, which supports quick searching and calling by equipment name or model, greatly improving the automation level and reuse efficiency of equipment modeling.

[0104] In an exemplary embodiment, the cable connection information includes the starting port, ending port, and connection path of the cable connection; based on the cable connection information and the equipment model library, a loop connection diagram of the secondary cables in the substation is generated, including: determining the location of each secondary device in the equipment model library; and connecting the secondary devices based on the starting port, ending port, and connection path to generate a loop connection diagram of the secondary cables in the substation.

[0105] In practice, a canvas is created using drawing tools or programming languages. Based on the extracted physical location or layout information of the secondary equipment, the position of each secondary equipment is located on the canvas using coordinates or grids. The corresponding equipment primitives in the equipment model library are called up, and the models of each secondary equipment are drawn at the corresponding positions on the canvas. Based on the extracted cable connection information (starting port, ending port, connection path), cable segments are drawn on the canvas and connected to the ports of the corresponding equipment. The cable connections are represented by straight lines, curves, or polylines, generating a circuit connection diagram of the secondary cables in the substation.

[0106] In some embodiments, the names or identifiers of the starting and ending devices are marked on the cable segments, arrows are added to indicate the direction of current, different colors or line types are used to distinguish different types of cable connections or loops, and annotations such as device names, cable numbers, and port markings are added.

[0107] In the above embodiments, the drawing of secondary cable loop connection diagrams is fully automated, completely replacing the tedious operation of manually consulting drawings and drawing connections one by one, which greatly improves the efficiency and accuracy of drawing. By accurately locating the equipment and automatically connecting cables based on complete port and path information, the generated loop connection diagram is ensured to be highly consistent with the actual physical wiring at the substation site, avoiding omissions or misconnections that are prone to occur in manual drawing. At the same time, the connection diagram clearly shows the complete cable topology between the equipment, including the start point, end point, and direction, providing an accurate graphical basis for subsequent signal association, status acquisition, and anomaly judgment, and enhancing the visualization and automation level of the online monitoring function test of the intelligent waveform recorder.

[0108] In an exemplary embodiment, a simulation interactive environment for secondary circuits in a substation is constructed based on station control layer data signals, process layer data signals, equipment model library, and circuit connection diagrams. This includes: determining the element information and physical terminal information in the equipment model library and circuit connection diagrams; establishing a one-to-many relationship and keyword index using the unique identifier of the element information or physical terminal information as the key and the station control layer data signals and process layer data signals as the value; and establishing three types of associations between element information and station control layer data signals, element information and process layer data signals, and physical terminal information and process layer data signals based on the one-to-many relationship and index, thereby obtaining the simulation interactive environment for secondary circuits in the substation.

[0109] In actual implementation, the information of graphic elements and physical terminals in the station control layer data signals, process layer data signals, equipment model library and loop connection diagram are determined. A dictionary is built using a key-value data structure. The key is a unique identifier of graphic element information or physical terminal information, and the value is the associated station control layer data signal or process layer data signal. Each graphic element or physical terminal forms a one-to-many relationship with the associated signal, and an index is built according to the key of the graphic element or physical terminal.

[0110] Keywords are extracted from graphic element information and physical terminal information, and corresponding associated signals are automatically retrieved from the dictionary to achieve three associations: the graphic element information of the secondary equipment model in the secondary cable circuit connection diagram is associated with the station control layer data signals of the secondary equipment IED model, the graphic element information is associated with the process layer data signals, and the physical terminal information is associated with the process layer data signals of the secondary equipment IED, thus constructing a simulation interactive environment for the secondary circuit of the secondary equipment.

[0111] In the above embodiments, the automatic and accurate association of graphic elements, physical terminals, and data signals of the station control layer and process layer is realized through the key-value dictionary library and indexing mechanism, completely eliminating the tedious operation of manually matching signals one by one, and improving the association efficiency and accuracy. On this basis, the simulation interactive environment can realistically simulate the data interaction behavior of secondary equipment at the station control layer and process layer, so that the test environment has a signal response capability that is highly consistent with the actual substation, thereby supporting comprehensive simulation testing of various abnormal operating conditions such as overload, short circuit, and line break.

[0112] In one exemplary embodiment, the status information includes at least one of the following: power supply status of the cable circuit, switch status, operating status of secondary equipment, cable temperature, cable circuit humidity, and alarm status.

[0113] In practice, status information includes at least one of the following: power supply status of the cable circuit, switch status (e.g., the open / closed status of circuit breakers, disconnectors, etc.), operating status of secondary equipment (running, stopped, faulty), cable temperature, cable circuit humidity, and alarm status.

[0114] In the above embodiments, by comprehensively monitoring multi-dimensional parameters such as power supply status, switch status, equipment operation status, cable temperature and humidity, and alarm status, multi-angle and fine-grained perception of the operating conditions of the secondary cable circuit is realized, providing a rich and complete data foundation for the online monitoring function of the intelligent waveform recorder.

[0115] In an exemplary embodiment, the preset rules include whether the equipment parameters in the substation are within a preset normal range, whether the switch status and the operating status of the secondary equipment in the substation meet the preset status, whether the connection relationship between the secondary equipment in the substation meets the preset connection requirements, and whether there is at least one fault in the substation, such as overload, short circuit, open circuit, wiring error, or equipment fault itself.

[0116] In practice, the preset rules include whether the equipment parameters in the substation are within the preset normal range (e.g., whether the equipment parameters such as current, voltage, and temperature are within the preset normal range), whether the switch status and the operating status of the secondary equipment in the substation meet the preset status, whether the connection relationship between the secondary equipment in the substation meets the preset connection requirements, and whether there is at least one of the following faults in the substation: overload, short circuit, open circuit, wiring error, and equipment fault (e.g., sensor fault, switch fault).

[0117] In some embodiments, the device parameters also include dynamic parameters such as current and temperature.

[0118] In some embodiments, the preset rules also include a state consistency check, which checks whether the associated state information (e.g., current and voltage) conforms to physical laws and has no logical contradictions.

[0119] In some embodiments, a fault warning is issued in the event of a fault.

[0120] In the above embodiments, by transforming complex professional diagnostic knowledge into an executable set of rules, the system can automatically identify anomaly types and locate the root cause of problems, thereby improving the breadth and depth of fault detection and avoiding omissions or misjudgments that are prone to occur during manual inspections.

[0121] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0122] Based on the same inventive concept, this application also provides a test apparatus for the intelligent waveform recorder monitoring function, which is used to implement the test method for the intelligent waveform recorder monitoring function described above. The solution provided by this apparatus is similar to the solution described in the above method. Therefore, the specific limitations of one or more test apparatus embodiments for the intelligent waveform recorder monitoring function provided below can be found in the limitations of the test method for the intelligent waveform recorder monitoring function above, and will not be repeated here.

[0123] In one exemplary embodiment, such as Figure 3 As shown, a test device for monitoring the intelligent waveform recorder function is provided, comprising: an acquisition module 301, an extraction module 302, a construction module 303, a generation module 304, a diagnosis module 305, a calibration module 306, and a modification module 307, wherein:

[0124] The acquisition module is used to acquire model files of secondary circuits in substations.

[0125] The extraction module is used to extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary intelligent electronic device model in the model file.

[0126] The module is used to build a device model library for all secondary devices based on the device type.

[0127] The generation module is used to generate a circuit connection diagram of secondary cables in the substation based on the cable connection information and the equipment model library.

[0128] The construction module is also used to construct a simulation interactive environment for secondary circuits in a substation based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram.

[0129] The generation module is also used to generate state simulation data of the secondary circuit in the substation based on the simulation interaction environment.

[0130] The diagnostic module is used to determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results.

[0131] The correction module is used to perform anomaly correction based on the anomaly diagnosis results to obtain the correction results.

[0132] The modification module is used to modify the model file based on the correction results to obtain the final model file.

[0133] In some exemplary embodiments, the above-described building module is further configured to:

[0134] Determine the graphic elements of the secondary equipment corresponding to the device type;

[0135] Combine the graphic elements to obtain the equipment models of all secondary equipment, and add identification information to the equipment models;

[0136] Based on the equipment model and identification information, the equipment model is associated with the corresponding graphic elements to generate a secondary equipment model library.

[0137] In some exemplary embodiments, the above-described generation module is further configured to:

[0138] Determine the location of each secondary device in the equipment model library;

[0139] Based on the starting port, ending port, and connection path, secondary devices are connected to generate a loop connection diagram of secondary cables in the substation.

[0140] In some exemplary embodiments, the above-described building module is further configured to:

[0141] Determine the element information and physical terminal information in the equipment model library and circuit connection diagram;

[0142] Using the unique identifiers of graphic element information or physical terminal information as keys and station control layer data signals and process layer data signals as values, establish a one-to-many relationship and keyword index;

[0143] Based on one-to-many relationships and indexes, three types of associations are established between graphic element information and station control layer data signals, graphic element information and process layer data signals, and physical terminal information and process layer data signals, thus obtaining the simulation interaction environment of secondary circuits in substations.

[0144] In some exemplary embodiments, the status information includes at least one of the following: power supply status of the cable circuit, switch status, operating status of secondary equipment, cable temperature, cable circuit humidity, and alarm status.

[0145] In some exemplary embodiments, the preset rules include whether the equipment parameters in the substation are within a preset normal range, whether the switch status and the operating status of the secondary equipment in the substation meet the preset status, whether the connection relationship between the secondary equipment in the substation meets the preset connection requirements, and whether there is at least one fault in the substation, such as overload, short circuit, open circuit, wiring error, or equipment fault itself.

[0146] The modules in the aforementioned intelligent waveform recorder monitoring device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0147] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a test method for a smart waveform recorder monitoring function.

[0148] The display unit of this computer device is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of this computer device can be a touch layer covering the display screen, or buttons, a trackball, or a touchpad set on the casing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0149] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0150] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0151] Obtain the model file of the secondary circuit in the substation;

[0152] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0153] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0154] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0155] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0156] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0157] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0158] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0159] Based on the correction results, the model file is modified to obtain the final model file.

[0160] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0161] Obtain the model file of the secondary circuit in the substation;

[0162] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0163] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0164] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0165] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0166] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0167] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0168] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0169] Based on the correction results, the model file is modified to obtain the final model file.

[0170] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0171] Obtain the model file of the secondary circuit in the substation;

[0172] Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file;

[0173] Based on the aforementioned device types, construct a device model library for all secondary equipment;

[0174] Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated;

[0175] Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed.

[0176] Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated.

[0177] Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results;

[0178] Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results;

[0179] Based on the correction results, the model file is modified to obtain the final model file.

[0180] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0181] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0182] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0183] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A test method for the monitoring function of an intelligent waveform recorder, characterized in that, The method includes: Obtain the model file of the secondary circuit in the substation; Extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model from the model file; Based on the aforementioned device types, construct a device model library for all secondary equipment; Based on the cable connection information and the equipment model library, a circuit connection diagram of the secondary cables in the substation is generated; Based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, a simulation interactive environment for secondary circuits in a substation is constructed. Based on the simulation interactive environment, state simulation data of the secondary circuit in the substation are generated. Determine the state information in the state simulation data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results; Based on the abnormal diagnosis results, abnormality correction is performed to obtain the correction results; Based on the correction results, the model file is modified to obtain the final model file.

2. The method according to claim 1, characterized in that, The construction of a device model library for all secondary equipment based on the device type includes: Determine the graphic elements of the secondary equipment corresponding to the device type; The graphic elements are combined to obtain the equipment models of all secondary devices, and identification information is added to the equipment models. Based on the device model and the identification information, the device model is associated with the corresponding graphic elements to generate a device model library for secondary devices.

3. The method according to claim 1, characterized in that, The cable connection information includes the starting port, ending port, and connection path of the cable connection; the generation of a loop connection diagram of secondary cables in the substation based on the cable connection information and the equipment model library includes: Determine the location of each secondary device in the device model library; Based on the starting port, the ending port, and the connection path, the secondary equipment is connected to generate a loop connection diagram of the secondary cables in the substation.

4. The method according to claim 1, characterized in that, The simulation interactive environment for secondary circuits in a substation, constructed based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram, includes: Determine the element information and physical terminal information in the device model library and the circuit connection diagram; Using the unique identifier of the graphic element information or the physical terminal information as the key, and the station control layer data signal and the process layer data signal as the value, establish an index of one-to-many relationships and keywords; Based on the one-to-many relationship and the index, three types of associations are established between graphic element information and station control layer data signals, graphic element information and process layer data signals, and physical terminal information and process layer data signals, so as to obtain the simulation interaction environment of the secondary circuit in the substation.

5. The method according to claim 1, characterized in that, The status information includes at least one of the following: power supply status of the cable circuit, switch status, operating status of secondary equipment, cable temperature, cable circuit humidity, and alarm status.

6. The method according to claim 1, characterized in that, The preset rules include whether the equipment parameters in the substation are within the preset normal range, whether the switch status and the operating status of the secondary equipment in the substation meet the preset status, whether the connection relationship between the secondary equipment in the substation meets the preset connection requirements, and whether there is at least one fault in the substation, such as overload, short circuit, open circuit, wiring error, or equipment fault itself.

7. A testing device for monitoring the function of an intelligent waveform recorder, characterized in that, The device includes: The acquisition module is used to acquire model files of secondary circuits in substations; The extraction module is used to extract the device type, cable connection information, station control layer data signals, and process layer data signals of each secondary equipment intelligent electronic device model in the model file; A construction module is used to build a device model library for all secondary equipment based on the device type; The generation module is used to generate a circuit connection diagram of secondary cables in the substation based on the cable connection information and the equipment model library. The construction module is also used to construct a simulation interactive environment for secondary circuits in a substation based on the station control layer data signals, the process layer data signals, the equipment model library, and the circuit connection diagram. The generation module is also used to generate state simulation data of the secondary circuit in the substation based on the simulation interaction environment. The diagnostic module is used to determine the state information in the state analog quantity data, and perform anomaly diagnosis on the state information based on preset rules to obtain anomaly diagnosis results. The correction module is used to perform anomaly correction based on the anomaly diagnosis results to obtain correction results; The modification module is used to modify the model file based on the correction results to obtain the final model file.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

Images