Method, device and equipment for signal interception and fault diagnosis based on full information link

Abstract

The application provides a signal monitoring and fault diagnosis method, device and equipment based on full information link, the method comprises the following steps: obtaining the full information link of the smart substation by analyzing and integrating the secondary circuit model file, the substation configuration description file, the remote configuration description file and the monitoring information point table file of the smart substation; based on the full information link, monitoring the complete sending process of the signal from the actual secondary circuit hard point to the dispatching end; for the error signal in the signal monitoring process, all information points are analyzed, and the signal triggering all information points is simulated through the simulation mode, the error signal is corrected according to the corresponding relationship obtained by testing, and the signal circuit fault diagnosis is realized. In the application, the full information of the smart substation is covered, so that the signal monitoring process is more intuitive, the four remote information checking and fault diagnosis of multiple aspects and multiple stages are improved, the debugging efficiency of the four remote information checking and acceptance is improved, and the debugging period is shortened.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid secondary circuit testing, and particularly relates to a signal monitoring and fault diagnosis method, device and equipment based on a full information link. BACKGROUND

[0002] Traditional "four remote" as the core data in the power grid dispatching automation system is an important data source of the data acquisition and monitoring control system and is the basis of advanced applications of the power grid dispatching automation system. The quality of the "four remote" data is related to the safe operation of the dispatching and control. The "four remote" function test needs to comprehensively test the remote information.

[0003] According to the traditional information joint debugging mode, the signal is triggered by the debugging personnel on site, and the test and acceptance of the four remote information is performed by telephone checking and acceptance. This debugging method is low in efficiency and automation level, consumes a large amount of labor cost, and the signal loop checking process is not intuitive and cannot be monitored in real time. The error condition of the signal loop is complex, and the fault diagnosis and troubleshooting are difficult, which does not conform to the intelligent operation and maintenance concept of high-efficiency testing of the intelligent substation. Therefore, a more efficient and intelligent signal loop monitoring and fault diagnosis method is needed. SUMMARY

[0004] In view of the above problems, the embodiments of the present application provide a signal monitoring and fault diagnosis method, device and equipment based on a full information link, so as to overcome the above problems or at least partially solve the above problems.

[0005] In a first aspect, the embodiments of the present application disclose a signal monitoring and fault diagnosis method based on a full information link, which comprises the following steps:

[0006] The full information link of the intelligent substation is obtained by analyzing and integrating the secondary circuit model file, the substation configuration description file, the remote configuration description file and the monitoring information point table file of the intelligent substation.

[0007] Based on the full information link, the complete uploading process of the signal from the actual secondary circuit hard connection point to the dispatching end is monitored, and the test result is recorded.

[0008] For the error signal in the signal monitoring process, all information points are analyzed, and the signals of all information points are simulated by simulation. The error signal is corrected according to the corresponding relationship obtained by testing, so as to realize the signal loop fault diagnosis of the intelligent substation.

[0009] Optionally, the full information link of the intelligent substation is obtained by analyzing and integrating the secondary circuit model file, the substation configuration description file, the remote configuration description file and the monitoring information point table file of the intelligent substation, and comprises the following steps:

[0010] parsing a secondary circuit model file to obtain secondary circuit information;

[0011] parsing virtual loop connection relationships and IED dataset information between process layer devices in a substation configuration description file to obtain process layer association information;

[0012] parsing station control layer device data and internal signals in the substation configuration description file to obtain station control layer association information, the internal signals including MMS signals, GOOSE signals and SV signals;

[0013] parsing a telecontrol configuration description file and a monitoring information point table file to obtain a correspondence between MMS signals of the station control layer and the monitoring information point table;

[0014] integrating the secondary circuit information, the process layer association information, the station control layer association information and the correspondence between MMS signals of the station control layer and the monitoring information point table to obtain full information links of the smart substation.

[0015] Optionally, the parsing of the secondary circuit model file to obtain the secondary circuit information comprises:

[0016] parsing measurement, protection, control and signal loop functions and signal descriptions of the secondary circuit model file;

[0017] parsing element information of the secondary circuit model file and secondary cable connection relationships between the elements;

[0018] performing voltage or current telemetry, remote control, remote signaling, remote adjustment information classification association and matching for each bay in the secondary circuit model file.

[0019] Optionally, the parsing of the virtual loop connection relationships and IED dataset information between devices in the substation configuration description file to obtain the process layer association information comprises:

[0020] parsing GOOSE signals and SV signals of process layer devices and GOOSE signals and SV signals of station control layer devices in the substation configuration description file;

[0021] obtaining virtual loop connection relationships between the process layer devices and the station control layer devices to generate a virtual loop mapping table;

[0022] obtaining GOOSE signal and SV signal description mapping relationships between the station control layer devices and the process layer devices to correspond the signals of the process layer devices to the process layer dataset.

[0023] Optionally, the parsing of the station control layer device data and the internal signals in the substation configuration description file, the internal signals including MMS signals, GOOSE signals and SV signals, to obtain the station control layer association information comprises:

[0024] Analyzing the station control layer device model in the substation configuration description file, generating the corresponding relationship between the MMS signal of the station control layer and the GOOSE signal and the SV signal of the process layer of each station control layer device, and mapping the process layer signal of the station control layer device to the MMS data set.

[0025] Optionally, the remote configuration description file and the monitoring information point table file are parsed to obtain the corresponding relationship between the MMS signal of the station control layer and the monitoring information remote point table, including:

[0026] The remote configuration description file and the monitoring information point table file are parsed to obtain the conversion relationship between the 104 signal forwarded by the remote machine and the MMS signal of the station control layer device, and the MMS signal of the station control layer device is mapped into the monitoring information remote point table.

[0027] Optionally, based on the full information link, the complete uploading process of the signal from the actual secondary circuit hard point to the dispatching end is listened to, and the test result is recorded, including:

[0028] Triggering the switching value or analog value signal displacement at the secondary circuit hard point;

[0029] Obtaining and parsing the GOOSE signal and the SV signal sent by the process layer device, the MMS signal sent by the station control layer, and the 104 signal sent by the remote machine, to listen to the complete uploading process of the signal from the actual secondary circuit hard point to the dispatching end, record the test result and form a test report.

[0030] Optionally, for the error signal in the signal listening process, all information points are parsed, and the signals of the all information points are simulated by simulation, and the error signal is corrected according to the corresponding relationship obtained by testing, to realize the signal circuit fault diagnosis of the smart substation, including:

[0031] Analyzing the SV signal and the GOOSE signal of the process layer, the MMS signal of the station control layer, and the 104 signal of the remote machine in the remote configuration file in the substation configuration description file;

[0032] Simulating the triggering of the SV signal and the GOOSE signal of the process layer, the MMS signal of the station control layer, or the 104 signal of the remote machine by simulation;

[0033] Recovering the 104 signal of the remote machine to obtain the correct corresponding relationship, and correcting the circuit configuration according to the correct corresponding relationship.

[0034] Optionally, the remote 104 signal is recovered to obtain the correct corresponding relationship, including:

[0035] The retrieved 104 signal is matched with the SV signal of the process layer, the GOOSE signal of the process layer and the MMS signal of the station control layer to obtain a correct corresponding relationship.

[0036] In a second aspect, the application discloses a signal monitoring and fault diagnosis device based on a full-information link, which comprises:

[0037] A parsing module is configured to parse and integrate a secondary circuit model file, a substation configuration description file, a telecontrol configuration description file and a monitoring information point table file of the smart substation to obtain a full-information link of the smart substation.

[0038] A monitoring module is configured to monitor a complete uploading process of signals from an actual secondary circuit hard point to a dispatching terminal based on the full-information link and record a test result.

[0039] A diagnosis module is configured to analyze all information points for error signals in the signal monitoring process, simulate triggering of the signals of the information points by using an emulation mode, correct the error signals according to a corresponding relationship obtained by testing, and thus realize fault diagnosis of a signal circuit of the smart substation.

[0040] In a third aspect, the application discloses an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, and the processor realizes the signal monitoring and fault diagnosis method based on the full-information link when executed.

[0041] The application has the following advantages:

[0042] In the application, the signal monitoring and fault diagnosis method based on the full-information link is provided to improve the information checking efficiency and the fault diagnosis and troubleshooting efficiency of the smart substation. The full-information link of the smart substation is used to monitor the signals, and the complete uploading process of the signals from the actual secondary circuit hard point to the dispatching terminal can be monitored in real time, so that the signal monitoring process is more intuitive. For the error signals in the signal monitoring process, corresponding signal points are triggered by using the emulation mode based on the full-information link, the error signals are corrected according to the corresponding relationship obtained by testing, the fault diagnosis and troubleshooting of the signal circuit of the smart substation are realized, and the smart operation of the smart substation is realized. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments of the present application. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort based on these drawings.

[0044] Figure 1 is a signal monitoring and fault diagnosis method based on full information link provided by the embodiment of the present application.

[0045] Figure 2 is a whole structure schematic diagram of an intelligent substation provided by the embodiment of the present application.

[0046] Figure 3 is a signal monitoring and fault diagnosis device structure schematic diagram based on full information link display provided by the embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort are within the protection scope of the present application.

[0048] The embodiment of the present application provides a signal monitoring and fault diagnosis method based on full information link, as shown in Figure 1 , the embodiment of the present application provides a signal monitoring and fault diagnosis method based on full information link, as shown in Figure 1 is a signal monitoring and fault diagnosis method based on full information link provided by the embodiment of the present application, including steps S101 to S103:

[0049] Step S101: obtaining the full information link of the intelligent substation by analyzing and integrating the secondary circuit model file, the substation configuration description file, the remote configuration description file and the monitoring information point table of the intelligent substation.

[0050] In the embodiment, the secondary circuit refers to the actual connection circuit of the intelligent substation, and the secondary circuit model file has the related information of the actual physical circuit of the intelligent substation. The substation configuration description file records the device information, virtual circuit information and device signals of the intelligent substation. The remote configuration description file records the signal forwarding information. The monitoring information point table records the information received by the remote transmitter. The full information link contains the connection relationship between all circuits in the entire intelligent substation, device information, signal corresponding relationship and other information.

[0051] Specifically, the overall structure of the smart substation is as shown in Figure 2 As shown in the figure, the signal loop of the smart substation includes: the secondary loop terminal block and hard point of remote signaling, remote measurement, remote control, four levels of process layer, station control layer and remote layer. By triggering a signal (the signal can be remote signaling or remote measurement) at the secondary loop terminal block and hard point, the intelligent terminal of the process layer device converts the signal into a GOOSE signal, or the merging unit of the process layer device converts the signal into an SV signal, the station control layer device converts the received SV / GOOSE signal into an MMS signal, and the remote machine converts the MMS signal into a 104 signal for forwarding. In this embodiment, by parsing and integrating the secondary loop model file, the substation configuration description file, the remote configuration description file and the monitoring information point table file of the smart substation, the specific connection method, device information and signal correspondence relationship between each level of the smart substation signal loop are obtained.

[0052] In an alternative embodiment, the full information link of the smart substation obtained by parsing and integrating the secondary loop model file, the substation configuration description file, the remote configuration description file and the monitoring information point table file of the smart substation includes steps A1 to A5:

[0053] Step A1: parsing the secondary loop model file to obtain secondary loop information.

[0054] In this embodiment, the secondary loop information includes the functions and descriptions of various signal loops, the information of various elements in the loop, and the four remote information of remote measurement, remote control, remote signaling and remote adjustment.

[0055] Specifically, the secondary loop model file is parsed to obtain secondary loop information, including:

[0056] Parses the functions and signal descriptions of the measurement, protection, control and signal loop of the secondary loop model file;

[0057] Parses the information of various elements in the secondary loop model file and the secondary cable connection relationship between the elements;

[0058] Classify, associate and match the voltage or current remote measurement, remote control, remote signaling and remote adjustment information for each interval in the secondary loop model file.

[0059] In the embodiment, parsing the element information of the secondary circuit model file refers to parsing the element information of the cubicle, secondary device, press plate, terminal strip, cable and cable core in the secondary circuit. The connection relationship between the elements in the secondary circuit is the physical connection relationship between the elements such as the cubicle, secondary device, press plate, terminal strip, cable and cable core. The voltage or current telemetry, remote control, remote signaling and remote adjustment information of each bay in the secondary circuit model file is classified, associated and matched, and then the signal classification and description are matched with the signals in the substation configuration description file, so as to realize the visual hierarchical display and tracing of the secondary equipment, terminal, cubicle and circuit involved in the four remote information.

[0060] Step A2: parsing the virtual loop connection relationship and IED dataset information between the process layer devices in the substation configuration description file to obtain process layer association information.

[0061] In this step, the process layer devices refer to intelligent terminals, merging units and the like. The virtual loop connection relationship between the process layer devices refers to the signal loop formed by connecting the devices through optical fibers. The sending end and receiving end signals of each virtual loop are referred to as virtual terminals. The virtual loop is a digital signal loop, and the virtual terminal is described by a configuration file. The IED dataset refers to an intelligent electronic device (IED) dataset.

[0062] The virtual loop between the process layer devices refers to the virtual loop between the process layer devices and the station control layer devices. The virtual loop connection relationship in the substation configuration description file is parsed based on the process layer device virtual terminal subscription information, and then the virtual loop receiving information of each device is parsed to obtain the publishing terminal information. The logical nodes in the dataset of the station control layer devices (such as the measurement and control device and the protection device) are parsed to extract signals and obtain signal descriptions. Meanwhile, the signal descriptions of the sending virtual terminals of the process layer devices that have virtual connections with the devices on the same side are parsed. The signal descriptions of the sending virtual terminals of the process layer devices are matched with the signal descriptions of the station control layer devices. If the matching is qualified, the association is automatically performed, so as to realize the association mapping of the station control layer signals and the process layer signals, that is, to obtain the process layer association information.

[0063] Specifically, the parsing of the virtual loop connection relationship and IED dataset information between the devices in the substation configuration description file to obtain the process layer association information includes:

[0064] parsing the GOOSE signals and SV signals of the process layer devices and the GOOSE signals and SV signals of the station control layer devices in the substation configuration description file;

[0065] obtaining the virtual loop connection relationship between the process layer devices and the station control layer devices, and generating a virtual loop mapping table;

[0066] The GOOSE signal and the SV signal of the station control layer device and the process layer device are acquired, and a mapping relationship is described, and the signal of the process layer device is corresponded to the process layer data set.

[0067] The GOOSE signal is a generic object oriented substation event (GOOSE) signal, which is used to transmit important real-time signals between intelligent terminals in a substation, such as trip signals, close signals and various signals. The SV signal is a sampled value (SV) signal, which is based on a publishing or subscribing mechanism, and exchanges relevant model objects and services of sampled values in a sampled data set. The MMS signal is a manufacturing message specification (MMS) signal.

[0068] In the embodiment, all process layer devices in the substation configuration description file are searched, and then process layer devices having a virtual loop relationship with station control layer devices (such as measurement and control devices, protection devices and the like) are acquired. The GOOSE signal and the SV signal transmitted by the process layer devices having the virtual connection relationship are simulated according to the virtual terminal connection information in the substation configuration description file and transmitted to the station control layer devices, so as to realize automatic association of the process layer signals.

[0069] Step A3: The station control layer association information is obtained by analyzing the station control layer device data and internal signals in the substation configuration description file, and the internal signals include MMS signals, GOOSE signals and SV signals.

[0070] In the embodiment, the station control layer devices refer to measurement and control devices, protection devices and the like, the MMS signal refers to a signal transmitted by the station control layer devices to a remote machine or a monitoring background, and the GOOSE signal and the SV signal refer to signals transmitted by the process layer devices to the station control layer devices. After receiving the GOOSE signal and the SV signal transmitted by the process layer, the station control layer devices will convert them into corresponding MMS signals, and there is a certain mapping relationship between the MMS signals and the GOOSE signals and the SV signals, that is, the station control layer association information.

[0071] Specifically, the station control layer association information is obtained by analyzing the station control layer device data and internal signals in the substation configuration description file, and the internal signals include MMS signals, GOOSE signals and SV signals. The station control layer association information includes: analyzing the station control layer device model in the substation configuration description file, generating a corresponding relationship between the MMS signal of each station control layer device and the GOOSE signal and the SV signal of the process layer, and mapping the process layer signal of the station control layer device to the MMS data set.

[0072] In the embodiment, the station control layer device model refers to an IEC61850 model, the IEC61850 model of the station control layer device in the substation configuration description file is parsed, and then the MMS signal of each protection device and the measurement and control device and the corresponding relationship between the process layer GOOSE signal and the SV signal are generated. Based on the mapping relationship, the process layer GOOSE signal and the SV signal can be converted into the corresponding MMS signal.

[0073] Step A4: The telecontrol configuration description file and the monitoring information point table file are parsed to obtain the corresponding relationship between the MMS signal of the station control layer and the monitoring information point table.

[0074] In the embodiment, the telecontrol configuration description file records the related information of the telecontrol machine signal forwarding. After the MMS signal of the station control layer device is sent to the telecontrol machine, the telecontrol machine converts the MMS signal into the corresponding 104 signal. Therefore, there is a certain corresponding relationship between the MMS signal and the 104 signal.

[0075] Specifically, the corresponding relationship between the MMS signal of the station control layer and the monitoring information telecontrol point table is obtained by parsing the telecontrol configuration description file and the monitoring information point table file, including: the conversion relationship between the 104 signal forwarded by the telecontrol machine and the MMS signal of the station control layer device is obtained by parsing the telecontrol configuration description file and the monitoring information point table file, and the MMS signal of the station control layer device is mapped into the monitoring information telecontrol point table.

[0076] In the embodiment, the 104 signal forwarded by the telecontrol machine includes: 104 telemetering signal, 104 remote control signal, 104 remote signal and 104 remote adjustment signal, i.e. "four remote" signal. The corresponding relationship between the 104 signal and the MMS signal is mapped into the monitoring information telecontrol point table, i.e. the 104 signal is associated with the signal in the monitoring information telecontrol point table, to obtain the corresponding relationship between the 104 signal of the telecontrol machine and the monitoring information point table, i.e. the corresponding relationship between the MMS information of the station control layer and the monitoring information point table.

[0077] Step A5: The secondary circuit information, the process layer association information, the station control layer association information and the corresponding relationship between the MMS signal of the station control layer and the monitoring information point table are integrated to obtain the full information link of the intelligent substation.

[0078] In the embodiment, the full information link in the smart substation is obtained by integrating the information parsed in steps A1 to A4. Based on the full information link, the smart substation full information link visualization display can be realized, the secondary equipment, terminal, screen cabinet, and loop involved in the four remote information can be visually displayed and traced, and the correspondence of the smart substation information in the secondary loop layer, process layer, station control layer, remote layer, and dispatching data network layer can be displayed. Meanwhile, the information correspondence can be easily found by the debugging personnel to troubleshoot the problems in the debugging process, and can also be used as a basic data source for later operation and maintenance.

[0079] Step S102: Based on the full information link, the complete sending process of the signal from the actual secondary loop hard point to the dispatching end is listened to, and the test result is recorded.

[0080] In the embodiment, the correspondence of the information in the full information link, such as the main station monitoring information point table, the remote machine signal description, the station control layer information description, the process layer information description, the signal reference address, and the secondary loop hard point information description, is automatically formed. Then, according to the full information link of the smart substation, the complete transmission process of the signal from the triggering point to the dispatching end after triggering a switching value or analog value signal change (i.e., the remote measurement and remote signal) at the secondary loop hard point is listened to, so as to realize the monitoring of the signal loop of the smart substation.

[0081] In an optional embodiment, the listening to the complete sending process of the signal from the actual secondary loop hard point to the dispatching end based on the full information link and recording the test result comprises:

[0082] Triggering the switching value or analog value signal change at the secondary loop hard point;

[0083] Obtaining and parsing the GOOSE signal and SV signal sent by the process layer device, the MMS signal sent by the station control layer, and the 104 signal sent by the remote machine, to listen to the complete sending process of the signal from the actual secondary loop hard point to the dispatching end, record the test result, and form a test report.

[0084] In the embodiment, the switching value or analog value signal change (i.e., the remote signal and remote measurement signal) is triggered at the secondary signal loop terminal row, and the triggered switching value or analog value signal change is converted and transmitted according to the correspondence in each level (process layer, station control layer, and remote machine). The GOOSE signal or SV signal sent by the process layer, the MMS signal sent by the station control layer, and the 104 signal sent by the remote machine are collected, to realize the listening to the complete sending process of the signal from the actual secondary loop hard point to the dispatching end. The remote signal is automatically associated through the SOE (Sequence Of Event, event sequence record) time mark in the message, the remote measurement signal is automatically associated through the sending message value correspondence, and the correctness of the monitoring information is automatically judged.

[0085] In the embodiment, the full-information link covers all information such as secondary circuit signals, process layer signals, station control layer signals and remote signals of the smart substation, and the signal circuit is monitored based on the full-information link, so that the signal monitoring process is more intuitive.

[0086] Step S103: For the error signal in the signal monitoring process, all information points are analyzed, and the signals triggering the all information points are simulated by simulation, the error signal is corrected according to the corresponding relationship obtained by testing, so as to realize the signal circuit fault diagnosis of the smart substation.

[0087] In the embodiment, the error signal refers to the error of the received signal value or the failure to receive the corresponding signal at each level. When an error signal is found in the monitoring process, it indicates that the corresponding relationship in the full-information link of the smart substation is incorrect. For example, when a signal is triggered by a secondary circuit hard point, the information of each level of the smart substation is monitored based on the full-information link, and when no corresponding signal is received at a certain level, it indicates that there is a problem with the corresponding relationship of the full-information link. For the error signal, other signal changes are simulated by simulation, and the correct corresponding relationship is obtained by testing the simulated signals, and the error signal is corrected according to the correct relationship obtained by testing, that is, the circuit configuration is corrected, so as to obtain the correct full-information link. Further, the four-remote information checking and fault diagnosis are realized at multiple levels and multiple stages, the debugging efficiency of the four-remote information checking and acceptance is improved, and the debugging period is shortened.

[0088] In an alternative embodiment, the step of analyzing all information points for the error signal in the signal monitoring process, and simulating the signals triggering the all information points by simulation, and correcting the error signal according to the corresponding relationship obtained by testing, to realize the signal circuit fault diagnosis of the smart substation, comprises steps B1 to B3:

[0089] Step B1: Analyzing the SV signals and GOOSE signals of the process layer, the MMS signals of the station control layer, and the 104 signals of the remote machine in the remote configuration file.

[0090] In this step, for the error signal, the corresponding signals of the error signal at each level are analyzed, that is, the SV signals and GOOSE signals of the process layer, the MMS signals of the station control layer, and the 104 signals of the remote machine in the remote configuration file are analyzed, so as to simulate based on the signals at each level in the subsequent steps.

[0091] Step B2: Simulate triggering the SV signals and GOOSE signals of the process layer, the MMS signals of the station control layer, or the 104 signals of the remote machine by simulation.

[0092] In this step, according to the signals needed to be sent in each layer obtained in step B1, the corresponding signals are simulated and sent by simulation. Specifically, for the SV signals and GOOSE signals of the process layer, the process layer devices (i.e. intelligent terminals and merging units) simulate sending GOOSE signals and SV signals to the station control layer devices (i.e. measurement and control devices and protection devices); for the MMS signals of the station control layer, the station control layer devices simulate sending MMS signals to the monitoring background or the remote machine; for the 104 signals of the remote machine, the remote machine forwards the 104 signals.

[0093] Step B3: Reclaiming the 104 signals of the remote machine to obtain the correct correspondence, and correcting the circuit configuration according to the correct correspondence.

[0094] In this step, the 104 signals of the remote machine are reclaimed to obtain the correct correspondence of the 104 signals of the remote machine, which specifically includes matching the reclaimed 104 signals with the SV signals of the process layer, the GOOSE signals of the process layer, and the MMS signals of the station control layer to obtain the correct correspondence. Since the signals between each level are correct simulation signals triggered by simulation, the correct correspondence can be obtained by matching the reclaimed 104 signals of the remote machine with the correct simulation signals.

[0095] In this embodiment, the SV and GOOSE signals are triggered by simulating the process layer devices, the MMS signals are triggered by simulating the station control layer devices, or the 104 signals are triggered by simulating the remote machine, and the 104 signals of the remote machine are reclaimed in real time to form a closed-loop test system. The telesignaling signals are automatically associated through the event sequence record SOE time stamp correspondence in the message, the telemetering signals are automatically associated through the sending message value correspondence, and the correctness of the monitoring information points is automatically judged. After modifying the problematic signal circuit, the verification test is performed again to realize the signal circuit fault diagnosis.

[0096] In an alternative embodiment, in order to check all signals in the full information link of the intelligent substation, the corresponding signals can be simulated and checked by simulation. Specifically, for each signal in turn, the SV and GOOSE signals of the process layer, the MMS signals of the station control layer, and the 104 signals of the remote machine are simulated and triggered, and the 104 signals of the remote machine are collected, and then the signals in the monitoring information table are checked, and the incorrect signal circuit is corrected. For each test signal, the unconfirmed, confirmed correct, and confirmed incorrect conclusions of the tested signal circuit can be given.

[0097] It should be noted that in the embodiment, the GOOSE signal, the SV signal, the MMS signal and the 104 signal are all transmitted in the form of a message, that is, the GOOSE signal corresponds to a GOOSE message, the SV signal corresponds to an SV message, the MMS signal corresponds to an MMS message, and the 104 signal corresponds to a 104 message.

[0098] In the embodiment, in order to improve the information checking efficiency and the fault diagnosis and troubleshooting efficiency of the smart substation, a signal monitoring and fault diagnosis method based on a full information link is provided. Since the signal monitoring is performed through the full information link of the smart substation, and the complete uploading process of the signal from the actual secondary circuit hard point to the dispatching end can be monitored in real time, the signal monitoring process is more intuitive. Moreover, for the error signal in the signal monitoring process, on the basis of the full information link, the corresponding signal points are simulated and triggered in a simulation mode, the error signal is corrected according to the corresponding relationship obtained by testing, the signal circuit fault diagnosis of the smart substation is realized, and the intelligent operation of the high-intelligent substation is realized.

[0099] The embodiment of the application further provides a signal monitoring and fault diagnosis device based on a full information link, as shown in Figure 3 , and Figure 3 The embodiment of the application provides a signal monitoring and fault diagnosis device structure schematic diagram based on a full information link display, the device comprises:

[0100] The analysis module 31 is used for analyzing and integrating the secondary circuit model file, the substation configuration description file, the remote configuration description file and the monitoring information point table of the smart substation, and obtaining the full information link of the smart substation.

[0101] The monitoring module 32 is used for monitoring the complete uploading process of the signal from the actual secondary circuit hard point to the dispatching end based on the full information link, and recording the test result.

[0102] The diagnosis module 33 is used for analyzing all information points for the error signal in the signal monitoring process, simulating and triggering the signals of all information points in a simulation mode, correcting the error signal according to the corresponding relationship obtained by testing, and realizing the signal circuit fault diagnosis of the smart substation.

[0103] In an optional embodiment, the analysis module comprises:

[0104] The circuit analysis module is used for analyzing the secondary circuit model file to obtain secondary circuit information.

[0105] The process layer analysis module is used for analyzing the virtual circuit connection relationship between the process layer devices and the IED data set information in the substation configuration description file to obtain process layer association information.

[0106] a station control layer parsing module, configured to parse station control layer device data and internal signals in a substation configuration description file to obtain station control layer association information, wherein the internal signals comprise MMS signals, GOOSE signals and SV signals;

[0107] a remote parsing module, configured to parse a remote configuration description file and a monitoring information point table file to obtain a correspondence between MMS signals of the station control layer and the monitoring information point table;

[0108] a message integration module, configured to integrate information of the secondary circuit information, the process layer association information, the station control layer association information and the correspondence between the MMS signals of the station control layer and the monitoring information point table to obtain a full information link of the smart substation.

[0109] In an optional embodiment, the circuit parsing module comprises:

[0110] a first circuit parsing submodule, configured to parse measurement, protection, control and signal circuit functions and signal descriptions of a secondary circuit model file;

[0111] a second circuit parsing submodule, configured to parse element information of various types in the secondary circuit model file and secondary cable connection relationships between the elements;

[0112] a third circuit parsing submodule, configured to classify, associate and match voltage or current telemetry, remote control, remote signaling and remote adjustment information for each interval in the secondary circuit model file.

[0113] In an optional embodiment, the process layer parsing module comprises:

[0114] a first process layer parsing submodule, configured to parse GOOSE signals and SV signals of process layer devices in a substation configuration description file and GOOSE signals and SV signals of station control layer devices;

[0115] a second process layer parsing submodule, configured to obtain virtual circuit connection relationships between the process layer devices and the station control layer devices and generate a virtual circuit mapping table;

[0116] a third process layer parsing submodule, configured to obtain GOOSE signal and SV signal description mapping relationships between the station control layer devices and the process layer devices and correspond the signals of the process layer devices to the process layer data set.

[0117] In an optional embodiment, the station control layer parsing module comprises:

[0118] The station control layer analysis submodule is configured to analyze a station control layer device model in a substation configuration description file, generate a correspondence relationship between MMS signals of each station control layer device and GOOSE signals and SV signals of a process layer, and map process layer signals of the station control layer device to MMS data sets.

[0119] In an optional embodiment, the telecontrol analysis module comprises:

[0120] The telecontrol analysis submodule is configured to analyze a telecontrol configuration description file and a monitoring information point table file, obtain a conversion relationship between 104 signals forwarded by a telecontrol machine and MMS signals of a station control layer device, and map the MMS signals of the station control layer device to a monitoring information telecontrol point table.

[0121] In an optional embodiment, the monitoring module comprises:

[0122] The first monitoring submodule is configured to trigger a switching value or an analog value signal change at a secondary circuit hard point;

[0123] The second monitoring submodule is configured to acquire and analyze GOOSE signals and SV signals sent by a process layer device, MMS signals sent by a station control layer, and 104 signals sent by a telecontrol machine, monitor a complete uploading process of the signals from an actual secondary circuit hard point to a dispatching end, record a test result, and generate a test report.

[0124] In an optional embodiment, the diagnosis module comprises:

[0125] The first diagnosis submodule is configured to analyze SV signals and GOOSE signals of a process layer, MMS signals of a station control layer, and 104 signals of a telecontrol machine in a telecontrol configuration file in a substation configuration description file;

[0126] The second diagnosis submodule is configured to simulate triggering of the SV signals and the GOOSE signals of the process layer, the MMS signals of the station control layer, or the 104 signals of the telecontrol machine in a simulation mode;

[0127] The third diagnosis submodule is configured to back up the 104 signals of the telecontrol machine, acquire a correct correspondence relationship, and correct a circuit configuration according to the correct correspondence relationship.

[0128] In an optional embodiment, the third diagnosis submodule comprises:

[0129] The diagnosis subunit is configured to match the back-up 104 signals with SV signals of the process layer, GOOSE signals of the process layer, and MMS signals of the station control layer, and obtain a correct correspondence relationship.

[0130] The embodiment of the present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the signal monitoring and fault diagnosis method based on a full-information link according to the embodiment of the present application when executed.

[0131] Each of the embodiments in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.

[0132] The embodiments of the present application are described with reference to flowcharts and / or block diagrams of the method and device according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal equipment to produce a machine, so that the instructions executed by the computer or other programmable data processing terminal equipment produce a device for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The device for implementing the functions specified in one flow or multiple flows and / or blocks. Figure 1 The device for implementing the functions specified in one block or multiple blocks.

[0133] These computer program instructions can also be stored in a computer readable memory capable of guiding the computer or other programmable data processing terminal equipment to work in a specific manner, so that the instructions stored in the computer readable memory produce a product comprising instruction devices, which implement the functions specified in the flowcharts and / or block diagrams. Figure 1 The device for implementing the functions specified in one flow or multiple flows and / or blocks. Figure 1 The device for implementing the functions specified in one block or multiple blocks.

[0134] These computer program instructions can also be loaded into the computer or other programmable data processing terminal equipment, so that a series of operation steps are performed on the computer or other programmable terminal equipment to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal equipment provide a process for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The device for implementing the functions specified in one flow or multiple flows and / or blocks. Figure 1 The device for implementing the functions specified in one block or multiple blocks.

[0135] Although the preferred embodiments of the embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to the embodiments once they know the basic inventive 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 embodiments of the present application.

[0136] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal apparatus that comprises a list of elements includes not only those elements, but also...

[0137] This also includes other elements not explicitly listed, or elements inherent to such a process, method, article, or terminal device. Unless otherwise specified, the phrase "including a..."

[0138] The definition of a specific element does not preclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.

[0139] The above describes a signal monitoring and fault diagnosis method based on a full information link provided by this invention.

[0140] The methods, apparatus, and equipment of this invention have been described in detail. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for signal monitoring and fault diagnosis based on a full information link, characterized in that, The method includes: By parsing and integrating the secondary circuit model file, substation configuration description file, remote control configuration description file, and monitoring information point table file of the intelligent substation, the full information link of the intelligent substation is obtained; the full information link covers the secondary circuit signals, process layer signals, station control layer signals, and remote control signals of the intelligent substation. Based on the aforementioned full information link, the complete transmission process of the signal from the actual secondary circuit hard contact to the scheduling end is monitored, and the test results are recorded. For erroneous signals during signal monitoring, all information points are analyzed, and signals triggering all information points are simulated through simulation. The erroneous signals are corrected based on the correspondence obtained from the test, so as to realize the fault diagnosis of signal circuits in intelligent substations. Specifically, the process of parsing and integrating the secondary circuit model file, substation configuration description file, remote control configuration description file, and monitoring information point table file of the intelligent substation to obtain the full information link of the intelligent substation includes: The secondary circuit model file is parsed to obtain secondary circuit information, including: parsing the measurement, protection, control, and signal circuit functions and signal descriptions in the secondary circuit model file; parsing the information of various components in the secondary circuit model file, as well as the secondary cable connection relationships between each element. The parsing of various component information in the secondary circuit model file refers to parsing the information of elements such as cabinets, secondary devices, pressure plates, terminal blocks, cables, and cable cores in the secondary circuit; and classifying, associating, and matching voltage or current telemetry, remote control, remote signaling, and remote adjustment information for each interval in the secondary circuit model file. Parse the virtual loop connection relationships between process layer devices and IED dataset information in the substation configuration description file to obtain process layer association information; The station control layer equipment data and internal signals in the substation configuration description file are parsed to obtain the station control layer association information. The internal signals include: MMS signal, GOOSE signal and SV signal. Parse the remote control configuration description file and the monitoring information point table file to obtain the correspondence between the MMS signals of the station control layer and the monitoring information point table; The information is integrated by combining the secondary circuit information, the process layer association information, the station control layer association information, and the correspondence between the station control layer MMS signal and the monitoring information point table to obtain the full information link of the smart substation.

2. The method according to claim 1, characterized in that, The process layer association information is obtained by parsing the virtual loop connection relationships between devices and the IED dataset information in the substation configuration description file, including: Parse the GOOSE and SV signals of process layer devices and station control layer devices in the substation configuration description file; Obtain the virtual loop connection relationships between each process layer device and station control layer device, and generate a virtual loop mapping table; Obtain the GOOSE and SV signal description mapping relationship between the station control layer equipment and the process layer equipment, and map the signals of the process layer equipment to the process layer dataset.

3. The method according to claim 1, characterized in that, The substation configuration description file is analyzed to extract station control layer equipment data and internal signals, including MMS, GOOSE, and SV signals, to obtain station control layer related information, including: The station control layer equipment model in the substation configuration description file is parsed to generate the correspondence between the station control layer MMS signal and the process layer GOOSE and SV signals of each station control layer equipment, and the process layer signals of the station control layer equipment are mapped to the MMS dataset.

4. The method according to claim 1, characterized in that, Parse the telecontrol configuration description file and the monitoring information point table file to obtain the correspondence between the MMS signals of the station control layer and the monitoring information telecontrol point table, including: The remote control configuration description file and the monitoring information point table file are parsed to obtain the conversion relationship between the 104 signal forwarded by the remote control and the MMS signal of the station control layer equipment. The MMS signal of the station control layer equipment is then mapped to the monitoring information remote control point table.

5. The method according to claim 1, characterized in that, Based on the full information link, the complete transmission process of the monitored signal from the actual secondary circuit hard contact to the scheduling end is recorded, including: Trigger a change in a digital or analog signal at the hard contact of the secondary circuit; Acquire and parse the GOOSE and SV signals sent by the process layer devices, the MMS signal sent by the station control layer, and the 104 signal sent by the remote motor, in order to monitor the complete transmission process of the signals from the actual secondary circuit hard contact to the dispatching end, record the test results and generate a test report.

6. The method according to claim 1, characterized in that, The process involves analyzing all information points of erroneous signals during signal monitoring, simulating the triggering of these information points, and correcting the erroneous signals based on the correspondence obtained from testing. This aims to achieve signal circuit fault diagnosis in intelligent substations, including: Analyze the SV and GOOSE signals in the process layer of the substation configuration description file, the MMS signal in the station control layer, and the 104 signal of the remote control unit in the remote control configuration file; The SV and GOOSE signals of the process layer, the MMS signal of the station control layer, or the 104 signal of the remote motor are triggered by simulation. The 104 signal from the remote sensing engine is retrieved to obtain the correct correspondence, and the loop configuration is corrected according to the correct correspondence.

7. The method according to claim 6, characterized in that, The recovery of the remote sensing signal 104 to obtain the correct correspondence includes: The 104 signal collected during the recovery process is matched with the SV signal of the process layer, the GOOSE signal of the process layer, and the MMS signal of the station control layer to obtain the correct correspondence.

8. A signal monitoring and fault diagnosis device based on a full information link, characterized in that, The device includes: The parsing module is used to parse and integrate the secondary circuit model file, substation configuration description file, remote control configuration description file, and monitoring information point table of the smart substation to obtain the full information link of the smart substation; the full information link covers the secondary circuit signals, process layer signals, station control layer signals, and remote control signals of the smart substation; The monitoring module is used to monitor the complete transmission process of the signal from the actual secondary circuit hard contact to the scheduling end based on the full information link, and record the test results. The diagnostic module is used to analyze all information points for erroneous signals during signal monitoring, simulate the signals that trigger all information points through simulation, and correct the erroneous signals according to the corresponding relationship obtained from the test, so as to realize the fault diagnosis of signal circuit in intelligent substation. Specifically, the process of parsing and integrating the secondary circuit model file, substation configuration description file, remote control configuration description file, and monitoring information point table file of the intelligent substation to obtain the full information link of the intelligent substation includes: The secondary circuit model file is parsed to obtain secondary circuit information, including: parsing the measurement, protection, control, and signal circuit functions and signal descriptions in the secondary circuit model file; parsing the information of various components in the secondary circuit model file, as well as the secondary cable connection relationships between each element. The parsing of various component information in the secondary circuit model file refers to parsing the information of elements such as cabinets, secondary devices, pressure plates, terminal blocks, cables, and cable cores in the secondary circuit; and classifying, associating, and matching voltage or current telemetry, remote control, remote signaling, and remote adjustment information for each interval in the secondary circuit model file. Parse the virtual loop connection relationships between process layer devices and IED dataset information in the substation configuration description file to obtain process layer association information; The station control layer equipment data and internal signals in the substation configuration description file are parsed to obtain the station control layer association information. The internal signals include: MMS signal, GOOSE signal and SV signal. Parse the remote control configuration description file and the monitoring information point table file to obtain the correspondence between the MMS signals of the station control layer and the monitoring information point table; The information is integrated by combining the secondary circuit information, the process layer association information, the station control layer association information, and the correspondence between the station control layer MMS signal and the monitoring information point table to obtain the full information link of the smart substation.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executed, implements the signal monitoring and fault diagnosis method based on the full information link as described in any one of claims 1-7.

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