Protection device constant value checking method and system

Abstract

The invention discloses a protection device constant value checking method and system. The method comprises the following steps: processing collected first operation constant value data to generate recognizable granulated constant value data; the centralized control station receives the data and establishes a setting value sheet identification model and a shared setting value sheet template library so as to perform data extraction and identification; defining a first fuzzy recognition rule based on the shared constant value single template library; acquiring second operation constant value data, and matching and checking the second operation constant value data through the first fuzzy recognition rule; and if the error of the matching and checking result exceeds a first threshold value, the centralized control station feeds back an abnormal result of the protection device, and checks an abnormal reason of the protection device according to the abnormal result. Aiming at comparison and check between the setting fixed value and the operation fixed value, the system fault of the power grid is reflected in time, the maintenance amount of operation maintenance personnel is reduced, the input cost of a transformer substation printer and maintenance of the transformer substation printer is reduced, carbon emission is reduced through paperless operation and inspection, and remarkable social and economic benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of protection setting verification, and in particular to a protection device setting verification method and system. Background Art

[0002] In the power system, the circuit breaker is a key primary device. Its main function is to cut off the fault at this level in time when overload, short circuit and other faults occur, thereby reducing the scope of power outages and ensuring the safe and stable operation of the power system. Especially in the 10 kV distribution network, the protection function of the circuit breaker is crucial. Whether the setting value of the protection device is reasonable directly affects whether the circuit breaker can accurately perform the protection function. If the setting value of the protection is unreasonable, it may cause the protection to malfunction or refuse to operate, posing a serious threat to the safe operation and reliable power supply of the distribution network. Therefore, it is a necessary measure to conduct a setting value verification to ensure that the setting value of the protection device is accurate.

[0003] At present, the setting verification of protection devices is a key project of special verification in hydropower plants, and is usually carried out manually by two staff members using printed paper version of the setting sheet. The specific steps include checking whether the setting of the protection device is correct, checking relevant records, checking the consistency of the setting with the dispatching department, and conducting a comprehensive verification on a station-by-station and screen-by-screen basis. Throughout the process, operation and maintenance personnel and inspectors need to work closely together to ensure that the setting of each device and the input and output of the pressure plate meet safety standards.

[0004] However, there are many problems with the existing manual value verification method: First, the process of printing a paper version of the value sheet is time-consuming, usually taking more than 5 minutes to print out a value sheet, and printing a complete fault message may take 15 to 20 minutes. Secondly, the manual verification process is not only slow and inefficient, but also prone to mischecking and missing, increasing the risk of errors. In addition, a large amount of paper materials not only wastes resources, but is also extremely inconvenient in terms of storage and query, and has poor traceability.

[0005] In the face of the above challenges, it is particularly important to develop a new method for checking the fixed value of protection devices. The new method should be able to overcome the shortcomings of traditional manual checking methods, improve the efficiency and accuracy of checking work, and reduce the risk of human error. The ideal solution should be able to achieve automation or semi-automation of fixed value checking, reduce the use of paper documents, improve the convenience of data storage and retrieval, and ensure the traceability of fixed value checking work. Summary of the invention

[0006] In view of the above existing problems, the present invention is proposed.

[0007] Therefore, the present invention provides a protection device setting verification method and system to solve the problems that traditional manual setting verification is inefficient, prone to mischecking and missing checks, and different types of relay protection devices have different display methods for digital items, control words, etc., making verification difficult.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0009] In a first aspect, the present invention provides a method for checking a set value of a protection device, comprising: processing collected first operating set value data to generate recognizable granular set value data; a centralized control station receives the recognizable granular set value data, and establishes a set value sheet recognition model and a shared set value sheet template library to perform data extraction and recognition; a first fuzzy recognition rule is defined based on the shared set value sheet template library; second operating set value data is obtained, and the second operating set value data is matched and checked using the first fuzzy recognition rule; if the result error of the matching and checking exceeds a first threshold value, the centralized control station feeds back an abnormal result of the protection device, and checks the abnormal cause of the protection device based on the abnormal result.

[0010] As a preferred solution of the protection device fixed value verification method of the present invention, the step of processing the collected first operation fixed value data to generate identifiable granular fixed value data includes:

[0011] Uploading the first running constant value data collected in real time to a processor for processing, wherein the processing process includes identifying, cleaning and storing the first running constant value data collected in real time;

[0012] The processor uploads the processed data information to the background terminal through the communication module, and the background terminal updates the appearance and temperature of the relay protection device in the fixed value control system;

[0013] When the appearance is intact, the set value control system stores the set value corresponding to the ambient temperature in advance, and gives the set value of the relay protection device according to the temperature change;

[0014] The set value control system transforms the format of the set value into a different file format, generates identifiable granular set value data, and transmits the identifiable granular set value data to a centralized control station.

[0015] As a preferred solution of the protection device setting value verification method of the present invention, wherein: the obtaining of the second operation setting value data comprises:

[0016] The security system divides the daily time into several equal time periods, and selects n time nodes in each time period to sample the second operation constant value data, wherein the time nodes in each time period are evenly distributed, and the time interval between two adjacent time nodes is: time period length\n-1;

[0017] The protection system uploads the sampled second operating set value data to the Ethernet switch through the scheduling time network. The Ethernet switch obtains the operating set value information of the set value list and transmits it to the centralized control station. The protection set value single word library in the centralized control station performs feature template matching and verifies the operating set value.

[0018] As a preferred solution of the protection device setting value verification method of the present invention, wherein: the establishment of the setting value single identification model includes:

[0019] The centralized control station receives the identifiable granular fixed value data, converts the identifiable granular fixed value data into a standard fixed value single file in CIM-E format, and establishes a fixed value single recognition model based on CIM-E format according to the standard fixed value single file in CIM-E format to perform data extraction and unified recognition.

[0020] As a preferred solution of the protection device setting value verification method of the present invention, wherein: a CIMG format wiring diagram is automatically generated according to a setting value single recognition model based on the CIM-E format, and the power grid data is automatically converted into a power grid graphic format, including:

[0021] Parsing various data models of the standard value list file in the CIM-E format, and storing the device model obtained after parsing and the topological connection relationship between the devices in a database;

[0022] Define various equipment graphics elements of CIM-E files and generate definition header files of various graphics elements in CIMG format;

[0023] Design the equipment layout method within the plant, obtain the location coordinates and display format information of various equipment, and determine the connection order of the graphics elements according to the topological connection relationship of the equipment within the plant;

[0024] A graphic file in CIMG format is generated based on the graphic element connection sequence, and the CIMG graphic file is opened using a graphic editor supporting the CIMG format to automatically generate a main wiring diagram in the plant station.

[0025] As a preferred scheme of the protection device constant value verification method described in the present invention, wherein: a constant value standard library is established in the centralized control station, a normalized shared constant value single template library is constructed based on the constant value standard library, and then a protection constant value single character library is established based on the normalized shared constant value single template library, and a first fuzzy recognition rule is defined based on the shared constant value single template library, and the first fuzzy recognition rule includes a feature character recognition rule, a feature template recognition rule and a feature description recognition rule.

[0026] As a preferred solution of the protection device setting verification method of the present invention, the matching verification process includes:

[0027] Match the protection equipment model provided by the formal setting list with the protection equipment model in the security system. On the premise that the protection equipment is successfully matched, the setting name provided by the formal setting list is immediately matched with the setting name of the security system. After the protection equipment and the protection setting item are successfully matched, the centralized control station will check the acquired second operation setting data with the setting setting provided by the formal setting list;

[0028] If the result error of the matching check does not exceed the first threshold, it means that the second operation fixed value data is normal, and the result is output;

[0029] If the result error of the matching check exceeds the first threshold, the centralized control station will feed back the abnormal result of the protection device and the wiring diagram in CIMG format to the background terminal. The staff will check the abnormal cause of the protection device according to the abnormal result. At the same time, the background terminal will send abnormal data to the processor through the communication module. The processor will start to collect the appearance information and temperature information of the relay protection device, monitor it and feed back the detection results to the background terminal. The background terminal will screen the abnormal points of the wiring diagram in CIMG format according to the feedback data.

[0030] In a second aspect, the present invention provides a protection device setting value verification system, comprising:

[0031] A data acquisition and processing module, used for processing the acquired first operation fixed value data to generate identifiable granular fixed value data;

[0032] A data extraction and identification module is used for the centralized control station to receive the identifiable granular fixed value data, and to establish a fixed value sheet identification model and a shared fixed value sheet template library to perform data extraction and identification;

[0033] A rule formulation module, used for defining a first fuzzy recognition rule based on the shared fixed value single template library;

[0034] A matching and checking module, used for acquiring second operation fixed value data, and matching and checking the second operation fixed value data by using the first fuzzy recognition rule;

[0035] The abnormality detection module is used to, if the result error of the matching check exceeds a first threshold, cause the centralized control station to feed back the abnormal result of the protection device, and check the abnormal cause of the protection device according to the abnormal result.

[0036] In a third aspect, the present invention provides a computing device, comprising:

[0037] Memory and processor;

[0038] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method are implemented.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which implement the steps of the method when executed by a processor.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a protection device fixed value verification method and system, which collects the protection device fixed value, action report and other information through the protection printing port, does not need to communicate with the protection device through the network, has high security and compatibility, and at the same time, because there is no debugging such as communication protocol, the system has high online rate and stability. For the protection fixed value, the comparison before and after the modification of the operation fixed value verification method is provided, and the comparison and verification between the setting fixed value and the operation fixed value is realized, so that the power grid system fault is reflected in time, so that the operation and maintenance personnel can understand the fault situation more quickly; the investment cost of the substation printer and its maintenance is greatly reduced, and the paperless operation and maintenance reduces carbon emissions; at the same time, the maintenance amount of the operation and maintenance personnel is greatly reduced, and the utilization rate of the printer is improved, which has significant social and economic benefits. In addition, the automatic verification function of the station protection fixed value of the present invention makes up for the technical means blank of the operation and maintenance personnel in this part of the work, eliminates the potential safety hazards of the power grid caused by the error of the fixed value modification, and automatically verifies the fixed value instead of the mode of manually verifying the fixed value, shortens the fixed value verification time, avoids the "wrong setting" of the secondary personnel, improves the quality and efficiency of the maintenance work, and improves the safety and reliability of the stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0042] Figure 1 This is an overall flow chart of a method for checking a fixed value of a protection device according to an embodiment of the present invention;

[0043] Figure 2 It is a schematic diagram of the overall circuit connection of a method for checking a setting value of a protection device according to an embodiment of the present invention;

[0044] Figure 3 A schematic diagram of data processing in a centralized control front-end processor of a protection device setting value verification method according to an embodiment of the present invention;

[0045] Figure 4 A schematic diagram of a rule base replacement rule of a protection device setting value checking method according to an embodiment of the present invention;

[0046] Figure 5 A schematic diagram of expert library matching rules of a protection device setting verification method according to an embodiment of the present invention;

[0047] Figure 6 It is a verification result statistics interface of a protection device setting verification method according to an embodiment of the present invention;

[0048] Figure 7 It is a set value verification result interface of a protection device set value verification method described in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0050] Example 1

[0051] Reference Figure 1 to Figure 5 As an embodiment of the present invention, a protection device setting value verification method is provided to achieve efficient and intelligent comparison management of protection setting values, reduce manual work pressure, save costs, achieve the purpose of carbon reduction, and improve overall operational efficiency. Figure 1 The specific steps shown include:

[0052] S100: Processing the collected first operation fixed value data to generate identifiable granular fixed value data;

[0053] S200: The centralized control station receives identifiable granular fixed value data, and establishes a fixed value sheet recognition model and a shared fixed value sheet template library to extract and recognize data;

[0054] S300: defining a first fuzzy recognition rule based on a shared fixed value single template library;

[0055] S400: Acquire second operation fixed value data, and match and check the second operation fixed value data using a first fuzzy recognition rule;

[0056] S500: If the error of the matching and checking result exceeds the first threshold, the centralized control station feeds back the abnormal result of the protection device, and checks the abnormal cause of the protection device according to the abnormal result;

[0057] It should be noted that this embodiment collects information such as the protection device setting value and action report through the protection printing port, and does not need to communicate with the protection device through the network. It has high security and compatibility. At the same time, since there is no debugging such as communication protocol, the system has high online rate and stability. For the protection setting value, the operation setting value verification method is provided before and after modification, and the setting setting value is compared with the operation setting value. It realizes the timely reflection of the power grid system fault, allowing the operation and maintenance personnel to understand the fault situation more quickly; it greatly reduces the investment cost of the substation printer and its maintenance, and paperless operation and maintenance reduces carbon emissions; at the same time, it greatly reduces the maintenance of the operation and maintenance personnel, improves the utilization rate of the printer, and has significant social and economic benefits. In addition, the automatic verification function of the station domain protection setting value of this embodiment fills the gap in the technical means of this part of the work of the operation and maintenance personnel, eliminates the potential safety hazards of the power grid caused by the setting value modification error, and automatically verifies the setting value instead of the manual verification mode, shortens the setting value verification time, avoids the "wrong setting" of secondary personnel, improves the quality and efficiency of the maintenance work, and improves the safety and reliability of the stable operation of the power grid.

[0058] In the embodiment of the present application, the above step S100 includes the following sub-steps A1 to A4;

[0059] In A1, the first running constant value data collected in real time is uploaded to the processor for processing, wherein the processing process includes identifying, cleaning and storing the first running constant value data collected in real time;

[0060] The first operation constant value data may be the appearance operation constant value data collected by the appearance collection device, or may be the temperature operation constant value data collected by the temperature collection device.

[0061] In A2, the processor uploads the processed data information to the background terminal through the communication module, and the background terminal updates the appearance and temperature of the relay protection device in the fixed value control system;

[0062] In A3, when the appearance is intact, the set value control system stores the set value corresponding to the ambient temperature in advance, and gives the set value of the relay protection device according to the temperature change;

[0063] In A4, the set value control system transforms the format of the set value into a different file format, generates identifiable granular set value data, and transmits the identifiable granular set value data to the centralized control station;

[0064] Specifically, the fixed value control system transforms the format of the set value into different file formats such as PDF, XML, JSON, etc. to generate recognizable granular fixed value data. Among them, the core feature of the fixed value control system is that the set value is fixed. When the system is disturbed by external factors or internal factors cause the controlled variable to deviate from the set value, the system can restore the controlled variable to the expected set value through the adjustment mechanism. This control system is widely used in various industrial production processes, such as temperature, pressure, flow and liquid level control, as well as voltage stabilization control of regulated power supplies. In process production, if the control system is required to keep the controlled process parameters at a constant production index, or if the given value of the controlled variable is required to remain unchanged, a fixed value adjustment system is required;

[0065] In an optional implementation, the conversion of the set value data into different formats such as PDF, XML, JSON, etc. can be performed by using special conversion software, online conversion tools, and office software functions. The first step is to convert the set value data into PDF format. For converting other formats such as Word, Excel, etc. into PDF, it can be achieved through professional PDF conversion software or office software such as WPS Office. Then convert the PDF format into different formats such as XML, JSON, etc. For example, Smallpdf and Zamzar allow users to upload PDF files and select the output format as XML. Professional software such as AdobeAcrobat Pro provides the function of converting PDF files into multiple formats, including XML. By using professional PDF conversion software or online conversion tools, the PDF content can be parsed and converted into JSON format.

[0066] In the embodiment of the present application, the above step S200 includes the following sub-steps B1 to B3;

[0067] In B1, the centralized control station receives the identifiable granular fixed value data, converts the identifiable granular fixed value data into a standard fixed value sheet file in CIM-E format, and establishes a fixed value sheet recognition model based on CIM-E format according to the standard fixed value sheet file in CIM-E format to perform data extraction and unified recognition;

[0068] In B2, a standard value library is established according to the standard value sheet file in CIM-E format, a normalized shared value sheet template library is constructed based on the standard value library, and then a protection value sheet word library is established based on the normalized shared value sheet template library;

[0069] In B3, the CIMG format wiring diagram is automatically generated according to the setting sheet recognition model based on the CIM-E format, and the power grid data is automatically converted into the power grid graphic format.

[0070] In an optional implementation, the conversion of the CIM-E format mainly involves converting the CIM file (usually an XML file) data into the Excel format, and the process of converting the XML data into the Excel format includes:

[0071] Determine the scope and format of the XML file to be exported;

[0072] Use appropriate tools or programming languages ​​(e.g., Python) to parse the XML file and convert it to Excel format. This step can leverage open source libraries or APIs, such as pyCIM or GridAPPS-D, to help process and convert XML file data.

[0073] According to the requirements, convert the fixed value data in the XML file into a table in Excel. This step can create a separate worksheet for each object type and list the corresponding attributes and values ​​in each worksheet;

[0074] The association relationship between XML files is exported to Excel, and the CIM-E format is converted to obtain the CIM-E data model.

[0075] It should be noted that the CIM-E format is a data markup language format specifically used to describe and exchange power system data. It combines object-oriented methods with traditional power system data description methods to improve the efficiency and accuracy of data exchange. The CIM-E format is designed to address some challenges in power system data exchange, especially in the description and exchange of large power grid models.

[0076] In an optional implementation, a CIMG format wiring diagram is automatically generated according to a setting value sheet recognition model based on the CIM-E format, and the power grid data is automatically converted into a power grid graphic format, including:

[0077] Parse various data models of standard value list files in CIM-E format, and store the parsed equipment models and topological connection relationships between equipment in the database;

[0078] Define various equipment graphics elements of CIM-E files and generate definition header files of various graphics elements in CIMG format;

[0079] Design the equipment layout method within the plant, obtain the location coordinates and display format information of various equipment, and determine the connection order of the graphics elements according to the topological connection relationship of the equipment within the plant;

[0080] Generate a graphic file in CIMG format based on the connection sequence of graphic elements, and use a graphic editor that supports CIMG format to open the CIMG graphic file to automatically generate the main wiring diagram within the plant.

[0081] It should be noted that the CIMG format wiring diagram is automatically generated according to the setting sheet recognition model based on the CIM-E format, and the power grid data is automatically converted into the power grid graphic format. This method solves the problem of automatic conversion from the power grid data model to the power grid graphic format, improves the accuracy of the wiring diagram within the plant, and reduces the heavy work of manual drawing and association of graphics and models.

[0082] In the embodiment of the present application, the above step S300 includes the following sub-step C1;

[0083] In C1, a protection fixed value single word library is established based on the shared fixed value single template library, and the first fuzzy recognition rule is defined;

[0084] In an optional implementation, the first fuzzy identification rule is to perform fuzzy identification through the header, tail, inclusion, single keyword, etc. of the fixed value item;

[0085] In another optional embodiment, the first fuzzy recognition rule includes feature template recognition, feature character recognition, and feature description recognition;

[0086] Specifically, feature template recognition is to perform template matching by synthesizing and decomposing multiple fixed value tables; feature character recognition is to perform recognition by feature characters such as segment I, segment II, and segment I. Segment II, and feature character recognition can recognize some characters that cannot be recognized by OCR; feature description recognition is to perform recognition by parsing in the remarks or executing fixed values ​​in a fixed value area;

[0087] It should be noted that the first fuzzy recognition rule is equipped with a special rule base and expert base. The rule base is responsible for normalizing the common features in the fixed value name, and the expert base allows users to perform fuzzy matching on the fixed value according to the custom rules;

[0088] like Figure 4 As shown, the rule base is used to normalize the fixed value items of the system and the fixed value items in the fixed value list, such as replacing the digital symbols such as "I", "II", "III", and "IV" with "1", "2", "3", and "4";

[0089] like Figure 5 As shown, the expert database performs fuzzy matching on the system's fixed value items and the fixed value items in the fixed value list, and determines which keywords must be included according to the set rules to be recognized as a specific fixed value.

[0090] In the embodiment of the present application, the above step S400 includes the following sub-steps D1 to D3;

[0091] In D1, the set value list collection device collects the second operation set value information on the corresponding relay protection device, and transmits the second operation set value information to the networked printing host, and the networked printing host then uploads the second operation set value information to the Ethernet switch;

[0092] The second operation fixed value data may be appearance operation fixed value data collected by a fixed value list collection device, or may be temperature operation fixed value data.

[0093] It should be noted that the networked printing host control room adopts a star networking structure, and uses the protection device printing interface connection to realize that one data acquisition device collects data from multiple protection devices. At the same time, the printing interface has high compatibility and is maintenance-free. This embodiment uses a very small number of data acquisition equipment to cover different types of protection devices of different voltage levels in the entire substation. The voltage level of the substation is, for example, 500kV / 220kV / 110kV / 35kV (20kV or 10kV). The present invention is based on a non-intrusive printing information simulation acquisition module to achieve lossless acquisition of protection device printing information, and after collection, the printing format control information and printing characters are summarized and transmitted to the printing management background using Ethernet; based on the research of non-intrusive printing information simulation acquisition methods, the protection device printing information (set value and action report) is safely collected; based on the set value description and set value verification research of generic selection expressions, the protection operation set value and the setting set value are automatically checked, and the device-level fault report is viewed, which serves as a data supplement for the fault analysis and eventization functions of the centralized control system, and improves the accuracy and reliability of fault analysis.

[0094] In D2, the Ethernet switch obtains the operation setting information of the setting list and transmits it to the centralized control station, performs feature template matching on the protection setting word library in the centralized control station according to the first fuzzy recognition rule, and verifies the operation setting;

[0095] In D3, the information security system samples the second operation constant value information by selecting n time nodes in each time period;

[0096] In an optional implementation, the security system retrieves the equipment operation settings from the substation and connects to the security substation of the substation through the dispatching data network. The security substation exchanges data with each relay protection device in the substation through Ethernet. The security system divides the daily time into several equal time periods: a day has 24 hours, which is divided into M time periods, and the length of each time period is 24\M hours. For example, if M=48, each time period is 30 minutes. In each time period, the system takes n time nodes to record or analyze data. These time nodes can be evenly distributed or selected according to specific needs.

[0097] The time nodes in each time period are evenly distributed, so the time interval between two adjacent time nodes is: time period length\n-1. For example, if each time period is 30 minutes, n=6, then the interval between adjacent time nodes is 6 minutes (because 30\(6-1)=6).

[0098] The protection system divides a day into 48 time periods (i.e., each time period is 30 minutes), and selects 5 time nodes for sampling in each time period. Then, the length of each time period is 30 minutes, and the interval between two adjacent time nodes is 6 minutes. In the entire 24 hours, the system will sample the operating setting information of the protection device 48×5=240 times.

[0099] It should be noted that the information security system can divide the daily time into several equal time periods according to the peak power consumption, and select n time nodes in each time period for sampling, so as to realize the continuous collection and accurate analysis of the operating constant value, and improve the stability and reliability of the power system;

[0100] In the embodiment of the present application, the above step S500 includes the following sub-steps E1 to E3;

[0101] In E1, the protection equipment model provided by the formal setting list is matched with the protection equipment model in the security system. On the premise that the protection equipment is successfully matched, the setting name provided by the formal setting list is immediately matched with the setting name of the security system. After the protection equipment and protection setting items are successfully matched, the centralized control station will check the obtained second operation setting data with the setting setting provided by the formal setting list;

[0102] In E2, if the result error of the matching check does not exceed the first threshold, it means that the second running fixed value data is normal, and the result is output;

[0103] In E3, if the error of the matching and checking result exceeds the first threshold, the centralized control station will feed back the abnormal result of the protection device and the wiring diagram in CIMG format to the background terminal. The staff will check the abnormal cause of the protection device according to the abnormal result. At the same time, the background terminal will send abnormal data to the processor through the communication module. The processor will start to collect the appearance information and temperature information of the relay protection device, monitor it and feed back the detection results to the background terminal. The background terminal will screen the abnormal points of the wiring diagram in CIMG format according to the feedback data.

[0104] In a feasible implementation manner, the value of the first threshold may be 1%.

[0105] It should also be noted that if the difference before and after the protection operation setting is modified is within 1%, the relay protection is working normally; if the difference before and after the protection operation setting is modified is more than 1%, the relay protection is damaged or abnormal; in addition, the verification between the modified protection operation setting and the set setting is: if the matching result error between the modified protection operation setting and the set setting is between 0-1%, the operation setting data is normal and the output result is; if the matching result error is greater than 1%, there is an error in the data matching of the centralized control station, and the centralized control station will immediately alarm.

[0106] In the embodiment of the present application, the process of the accompanying drawings is described in detail again;

[0107] like Figure 2 As shown, one part is that the appearance acquisition device and the temperature acquisition device collect the appearance and temperature changes of the corresponding relay protection device in real time, and upload this data information to the processor for processing. The processor then uploads its data information to the background terminal through the communication module. The background terminal updates the appearance and temperature of the relay protection device in the fixed value control system; the fixed value control system stores the set value corresponding to the ambient temperature in advance, and generates recognizable granular fixed value data; the centralized control station receives the recognizable granular fixed value data uploaded by the fixed value control system, and establishes a protection fixed value single word library after processing. The other part of the process is that the setting list collection device collects the operating setting information on the corresponding relay protection device, and transmits the operating setting information to the networked printing host. The networked printing host uploads the operating setting information to the Ethernet switch. At the same time, the security system selects n time nodes in each time period to sample the operating setting, and then uploads the sampled data information to the Ethernet switch through the dispatching data network; the Ethernet switch obtains the operating setting information of the setting list and transmits it to the centralized control station. According to the research method of the protection setting verification algorithm, the protection setting single word library in the centralized control station performs feature template matching and verifies the operating setting; the centralized control station reads and analyzes the setting list, and stores the matching results in the centralized control station.

[0108] like Figure 3As shown, the Ethernet switch obtains the operation setting information of the setting list and transmits it to the centralized control station. According to the research method of the protection setting verification algorithm, the protection setting single word library in the centralized control station is matched with the feature template. After the match is successful, the data is preprocessed and then feature character recognition is performed, and the result of the Canon feature character recognition is stored in the database to verify the operation setting; if the error of the matching verification result does not exceed 1%, it means that the second operation setting data is normal, and the result is output; if the error of the matching verification result exceeds 1%, the centralized control station feeds back the abnormal result of the protection device and the CIMG format wiring diagram to the background terminal, and the staff checks the abnormal cause of the protection device according to the abnormal result. At the same time, the background terminal sends abnormal data to the processor through the communication module, and the processor starts to collect the appearance information and temperature information of the relay protection device, monitors it and feeds back the detection result to the background terminal, and the background terminal screens the abnormal point of the CIMG format wiring diagram according to the feedback data;

[0109] The above is a schematic scheme of a protection device setting verification method of this embodiment. It should be noted that the technical scheme of the protection device setting verification system and the technical scheme of the protection device setting verification method described above belong to the same concept, and the details of the technical scheme of the protection device setting verification system not described in detail in this embodiment can be found in the description of the technical scheme of the protection device setting verification method described above.

[0110] This embodiment also provides a protection device setting value verification system, including a data acquisition and processing module, a data extraction and identification module, a rule formulation module, a matching and verification module, and an abnormality detection module;

[0111] Specifically, the data acquisition and processing module is used to process the collected first operation fixed value data to generate identifiable granular fixed value data;

[0112] Specifically, the data extraction and identification module is used for the centralized control station to receive identifiable granular fixed value data, and to establish a fixed value sheet identification model and a shared fixed value sheet template library for data extraction and identification;

[0113] Specifically, the rule formulation module is used to define a first fuzzy recognition rule based on a shared fixed value single template library;

[0114] Specifically, the matching and checking module is used to obtain the second operation fixed value data, and to match and check the second operation fixed value data through the first fuzzy recognition rule;

[0115] Specifically, the abnormality detection module is used to, if the error of the matching and checking result exceeds the first threshold, the centralized control station feeds back the abnormal result of the protection device, and checks the abnormal cause of the protection device according to the abnormal result.

[0116] The above-mentioned unit modules may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above-mentioned modules.

[0117] This embodiment also provides a computing device, which includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for checking the fixed value of a protective device is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0118] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method proposed in the above embodiment is implemented.

[0119] The storage medium proposed in this embodiment and the method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0120] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0121] Example 2

[0122] Reference Figure 6 , Figure 7 Based on the previous embodiment, this embodiment provides an application example of a protection device constant value verification method and system to verify and illustrate the technical effects used in this method.

[0123] In this embodiment, the appearance collection device and the temperature collection device collect the appearance and temperature changes of the corresponding relay protection device in real time, and upload this data information to the processor for processing. The processor then uploads its data information to the background terminal through the communication module. The background terminal updates the appearance and temperature of the relay protection device in the constant value control system; the constant value control system stores the set values ​​corresponding to the ambient temperature in advance, and generates recognizable granular constant value data; the centralized control station receives the recognizable granular constant value data uploaded by the constant value control system, and establishes a protection constant value single word library after processing.

[0124] The setting list acquisition device collects the operating setting information on the corresponding relay protection device, and transmits the operating setting information to the networked printing host. The networked printing host uploads the operating setting information to the Ethernet switch. At the same time, the security system selects n time nodes in each time period to sample the operating setting, and then uploads the sampled data information to the Ethernet switch through the dispatching data network; the Ethernet switch obtains the operating setting information of the setting list and transmits it to the centralized control station. According to the research method of the protection setting verification algorithm, the protection setting list word library in the centralized control station performs feature template matching and verifies the operating setting; the centralized control station reads and analyzes the setting list, and stores the matching results in the centralized control station, such as Figure 6 The figure shows the verification result statistics interface of the present invention. If the error of the matching verification result does not exceed the first threshold, it means that the second operation fixed value data is normal and the result is output; if the error of the matching verification result exceeds the first threshold, the centralized control station will feedback the abnormal result of the protection device and the wiring diagram in CIMG format to the background terminal, as shown in FIG. Figure 7 The interface of the fixed value check result of the present invention is shown. The staff checks the abnormal cause of the protection device according to the abnormal result. At the same time, the background terminal sends abnormal data to the processor through the communication module. The processor starts to collect the appearance information and temperature information of the relay protection device, monitors it and feeds back the test results to the background terminal. The background terminal screens the abnormal points of the CIMG format wiring diagram according to the feedback data.

[0125] It should also be noted that if the difference before and after the protection operation setting is modified is within 1%, the relay protection is working normally; if the difference before and after the protection operation setting is modified is more than 1%, the relay protection is damaged or abnormal; in addition, the verification between the modified protection operation setting and the set setting is: if the matching result error between the modified protection operation setting and the set setting is between 0-1%, the operation setting data is normal and the output result is; if the matching result error is greater than 1%, there is an error in the data matching of the centralized control station, and the centralized control station will immediately alarm.

[0126] From the above, it can be seen that the present invention compares and verifies the set value with the operating value, realizes timely reflection of power grid system faults, reduces the maintenance workload of operation and maintenance personnel, and reduces the investment cost of substation printers and their maintenance. Paperless operation and inspection reduces carbon emissions and has significant social and economic benefits.

[0127] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0128] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0129] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0130] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0132] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0133] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A protection device setting value verification method, characterized in that: include: Processing the collected first operation fixed value data to generate identifiable granular fixed value data; The centralized control station receives the identifiable granular fixed value data, and establishes a fixed value sheet recognition model and a shared fixed value sheet template library to extract and recognize data; Defining a first fuzzy recognition rule based on the shared fixed value single template library; Acquire second operation fixed value data, and match and check the second operation fixed value data using the first fuzzy recognition rule; If the result error of the matching check exceeds the first threshold, the centralized control station feeds back the abnormal result of the protection device, and checks the abnormal cause of the protection device according to the abnormal result.

2. The protection device setting value verification method according to claim 1, characterized in that: The step of processing the collected first operation constant value data to generate identifiable granular constant value data comprises: Uploading the first running constant value data collected in real time to a processor for processing, wherein the processing process includes identifying, cleaning and storing the first running constant value data collected in real time; The processor uploads the processed data information to the background terminal through the communication module, and the background terminal updates the appearance and temperature of the relay protection device in the fixed value control system; When the appearance is intact, the set value control system stores the set value corresponding to the ambient temperature in advance, and gives the set value of the relay protection device according to the temperature change; The set value control system transforms the format of the set value into a different file format, generates identifiable granular set value data, and transmits the identifiable granular set value data to a centralized control station.

3. The protection device setting value verification method according to claim 1, characterized in that: The obtaining of the second operation constant value data comprises: The security system divides the daily time into several equal time periods, and selects n time nodes in each time period to sample the second operation constant value data, wherein the time nodes in each time period are evenly distributed, and the time interval between two adjacent time nodes is: time period length\n-1; The protection system uploads the sampled second operating set value data to the Ethernet switch through the scheduling time network. The Ethernet switch obtains the operating set value information of the set value list and transmits it to the centralized control station. The protection set value single word library in the centralized control station performs feature template matching and verifies the operating set value.

4. The protection device setting value verification method according to claim 2, characterized in that: The establishment of the fixed value list recognition model comprises: The centralized control station receives the identifiable granular fixed value data, converts the identifiable granular fixed value data into a standard fixed value single file in CIM-E format, and establishes a fixed value single recognition model based on CIM-E format according to the standard fixed value single file in CIM-E format to perform data extraction and unified recognition.

5. The protection device setting value verification method according to claim 4, characterized in that: Automatically generate CIMG format wiring diagrams based on the setting sheet recognition model based on CIM-E format, and automatically convert power grid data into power grid graphic format, including: Parsing various data models of the standard value list file in the CIM-E format, and storing the device model obtained after parsing and the topological connection relationship between the devices in a database; Define various equipment graphics elements of CIM-E files and generate definition header files of various graphics elements in CIMG format; Design the equipment layout method within the plant, obtain the location coordinates and display format information of various equipment, and determine the connection order of the graphics elements according to the topological connection relationship of the equipment within the plant; A graphic file in CIMG format is generated based on the graphic element connection sequence, and the CIMG graphic file is opened using a graphic editor supporting the CIMG format to automatically generate a main wiring diagram in the plant station.

6. The protection device setting value verification method according to claim 5, characterized in that: A fixed value standard library is established in the centralized control station, a normalized shared fixed value single template library is constructed based on the fixed value standard library, and a protection fixed value single character library is established based on the normalized shared fixed value single template library. A first fuzzy recognition rule is defined based on the shared fixed value single template library, and the first fuzzy recognition rule includes a feature character recognition rule, a feature template recognition rule and a feature description recognition rule.

7. The protection device setting value verification method according to claim 6, characterized in that: The matching and checking process includes: Match the protection equipment model provided by the formal setting list with the protection equipment model in the security system. On the premise that the protection equipment is successfully matched, the setting name provided by the formal setting list is immediately matched with the setting name of the security system. After the protection equipment and the protection setting item are successfully matched, the centralized control station will check the acquired second operation setting data with the setting setting provided by the formal setting list; If the result error of the matching check does not exceed the first threshold, it means that the second operation fixed value data is normal, and the result is output; If the result error of the matching check exceeds the first threshold, the centralized control station will feed back the abnormal result of the protection device and the wiring diagram in CIMG format to the background terminal. The staff will check the abnormal cause of the protection device according to the abnormal result. At the same time, the background terminal will send abnormal data to the processor through the communication module. The processor will start to collect the appearance information and temperature information of the relay protection device, monitor it and feed back the detection results to the background terminal. The background terminal will screen the abnormal points of the wiring diagram in CIMG format according to the feedback data.

8. A system using the protection device setting value verification method according to any one of claims 1 to 7, characterized in that: include: A data acquisition and processing module, used for processing the acquired first operation fixed value data to generate identifiable granular fixed value data; A data extraction and identification module is used for the centralized control station to receive the identifiable granular fixed value data, and to establish a fixed value sheet identification model and a shared fixed value sheet template library to perform data extraction and identification; A rule formulation module, used for defining a first fuzzy recognition rule based on the shared fixed value single template library; A matching and checking module, used for acquiring second operation fixed value data, and matching and checking the second operation fixed value data by using the first fuzzy recognition rule; The abnormality detection module is used to, if the result error of the matching check exceeds a first threshold, cause the centralized control station to feed back the abnormal result of the protection device, and check the abnormal cause of the protection device according to the abnormal result.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having computer program instructions stored thereon, wherein the computer-executable instructions, when executed by a processor, implement the steps of the method according to any one of claims 1 to 7.

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