CN113433419B - Intelligent alarm method and system based on polymorphic data cooperative processing - Google Patents
Intelligent alarm method and system based on polymorphic data cooperative processing Download PDFInfo
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- G01R31/08—Locating faults in cables, transmission lines, or networks
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Abstract
The invention provides an intelligent alarm method and system based on polymorphic data collaborative processing, which are characterized in that polymorphic data of secondary equipment at a station end are collected in real time in a direct-picking and direct-transmitting mode, an intelligent logic collaborative reasoning diagnosis module based on steady-state data and dynamic data is established according to respective electrical characteristics of different data sources, and the result can be provided for operation and maintenance personnel as a basis for next operation and maintenance. The method provided by the invention can perfect the operation monitoring method of the secondary equipment of the power grid, does not depend on the original alarm information of the secondary equipment, and provides auxiliary monitoring measures. The method can quickly find out abnormal operation of the power grid, remind operation and maintenance personnel to solve problems in time, prevent further expansion of accidents and improve real-time performance and reliability of online fault diagnosis of the power grid.
Description
Technical Field
The invention belongs to the technical field of intelligent analysis and communication of power systems, and particularly relates to an intelligent alarm method and system based on polymorphic data cooperative processing.
Background
With the large-scale construction of new energy power stations and intelligent power grids, the power grid structure and operation characteristics become more complex, super-fortification faults caused by disaster weather such as strong wind, thunder and sand storm and the like are frequent in impact on the safety line of the power grid, the traditional intelligent warning system at the station end can not meet the requirements of safe and stable operation of the large power grid, and the current intelligent warning level at the station end is improved, so that the on-site rapid warning of the power grid faults is realized.
The research of the intelligent alarm system at the station end is limited by the level of relay protection equipment, computers and communication technology in the past, and the data source mainly is remote signaling deflection and protection action signals of the RTU (real time unit), so that the reliability of the alarm system is low, the information is rough, and the operation and maintenance requirements are difficult to adapt; and when communication between the station end and the dispatching end is abnormal or interrupted, data cannot be timely sent up or even lost, and timely analysis, investigation and quick repair of power grid faults are affected. In order to enable power grid operation and maintenance personnel to timely and comprehensively acquire fault alarm information and analysis results from a station end, and rapidly take fault maintenance is particularly important. Meanwhile, with the rapid development of relay protection equipment, computers and communication technology level and the wide application in an electric power system, a synchronous phasor measurement device and a fault recorder device are also widely popularized, and the data source of the station-side intelligent alarm system is continuously rich and perfect, and is not limited to the use of remote signaling and protection action signals. By utilizing the characteristics of diversity of substation devices and high information redundancy, the data of different types and rich are cooperatively processed, so that the intelligent alarm system at the station end can be helped to improve accuracy, reliability and instantaneity, and the requirements of operation and maintenance of a power grid are met to the greatest extent.
Disclosure of Invention
The invention aims to provide an intelligent alarm method and system based on polymorphic data cooperative processing, which improves the accuracy and reliability of a station-side intelligent alarm system.
The invention provides an intelligent alarm method and system based on polymorphic data cooperative processing, comprising the following steps:
collecting power grid steady-state data, determining the fault phase according to the power grid steady-state data, extracting action elements, action events and whole set of report information according to protection starting signals in the power grid steady-state data, and generating a fault brief report according to logic intelligent reasoning; collecting power grid dynamic data, and determining fault phases according to the power grid dynamic data;
if the fault phase determined according to the power grid steady state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, prompting that the alarm is abnormal;
the specific method for generating the fault briefing according to the logic intelligent reasoning is as follows:
s1, when a power grid fails, acquiring a protection action signal, and if the protection action signal is of a protection starting type and the protection action signal is in a state of occurring, caching a failure serial number of the protection starting signal;
s2: if the protection action signal is an action element, and the fault sequence number of the action element is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action element queue;
s3, if the protection action signal is an action event and the fault sequence number of the protection action signal is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action event queue;
s4, if the report is a whole group report, and the fault sequence number of the report is consistent with the fault sequence number of the protection starting signal, the report is stored in a whole group report queue;
s5, if the type of the protection action signal is 'protection start', and the state value is 'reset', judging to be over, and generating a fault brief report according to the fault serial number of the protection start signal, the action element queue, the action event queue and the whole group of report queues;
the method further comprises the steps of collecting transient data, extracting fault waveform information comprising maximum short-circuit current, voltage and fault ranging according to the collected transient data, performing power grid fault diagnosis, comparing power grid fault diagnosis results determined by the transient data with diagnosis results obtained based on steady-state data and dynamic data respectively, storing analysis results if the diagnosis results are consistent, and otherwise prompting alarm abnormality.
Further, determining the fault phase from the grid steady state data comprises the steps of:
when the power grid fails, a switch split-phase action signal is obtained according to a remote signaling displacement signal in power grid steady-state data, and a switch action sequence is obtained according to the switch split-phase action signal; if the switching action sequence is 'first split and then close' and no 'sub-split' action, the phase-to-phase fault is generated, otherwise, the single-phase fault is generated;
if the fault is a single-phase fault and the switch contains split-phase action information, the switch action phase is the corresponding fault phase.
Further, determining the fault phase from the grid dynamics data comprises the steps of: and extracting power grid short-circuit fault information in the voltage and the current, and determining fault phases by utilizing the three-phase amplitude values and the three-phase directions of the fault voltage and the fault current, wherein specific logic reasoning is as follows:
s1, if the single-phase short-circuit current is zero, the non-fault phase voltage rises to be the line voltage, and then the single-phase short-circuit is formed;
s2 if two phases are shortThe current being of positive sequence
The voltage of the non-fault phase of the short-circuit point is twice the positive sequence voltage, the voltage of the fault phase is half of the voltage of the non-fault phase and the directions are opposite, and the voltage of the fault phase is two-phase short circuit; otherwise, the circuit is in three-phase short circuit.
In a second aspect, the present invention provides an intelligent warning system based on collaborative processing of polymorphic data, comprising: the system comprises a data acquisition module, a steady-state data diagnosis module, a dynamic data diagnosis module and a collaborative reasoning diagnosis module; the data acquisition module is used for acquiring power grid steady state data and power grid dynamic data, the steady state data diagnosis module is used for determining fault phases according to the power grid steady state data, extracting action elements, action events and whole set of report information according to protection starting signals in the power grid steady state data, generating fault briefs according to logic intelligent reasoning, and uploading diagnosis results and the generated fault briefs to the collaborative reasoning diagnosis module; the dynamic data diagnosis module is used for generating a fault brief report according to logic intelligent reasoning; collecting power grid dynamic data, and determining fault phases according to the power grid dynamic data;
the collaborative reasoning diagnosis module is used for judging that if the fault phase determined according to the power grid steady state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, prompting that the alarm is abnormal;
the specific method for generating the fault briefing according to the logic intelligent reasoning is as follows:
s1, when a power grid fails, acquiring a protection action signal, and if the protection action signal is of a protection starting type and the protection action signal is in a state of occurring, caching a failure serial number of the protection starting signal;
s2: if the protection action signal is an action element, and the fault sequence number of the action element is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action element queue;
s3, if the protection action signal is an action event and the fault sequence number of the protection action signal is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action event queue;
s4, if the report is a whole group report, and the fault sequence number of the report is consistent with the fault sequence number of the protection starting signal, the report is stored in a whole group report queue;
s5, if the type of the protection action signal is 'protection start', and the state value is 'reset', judging to be over, and generating a fault brief report according to the fault serial number of the protection start signal, the action element queue, the action event queue and the whole group of report queues;
the system also comprises a transient data diagnosis module, wherein the transient data diagnosis module extracts fault waveform information comprising maximum short-circuit current, voltage and fault ranging according to the acquired transient data and performs power grid fault diagnosis;
the collaborative reasoning diagnosis module is also used for comparing the power grid fault diagnosis result determined by using the transient data with the diagnosis result obtained based on the steady state data and the dynamic data respectively, storing the analysis result if the diagnosis result is consistent, otherwise prompting the abnormal alarming.
Further, the system also comprises a man-machine interface, wherein the man-machine interface is connected with the collaborative reasoning diagnosis module through a message bus and is used for displaying the fault briefing.
The beneficial technical effects obtained by the invention are as follows: by cooperative processing of the power grid polymorphic data, the real-time performance and reliability of the station-side intelligent alarm system are improved.
Drawings
FIG. 1 is a flow chart of alarm processing in accordance with an embodiment of the present invention;
FIG. 2 is a logic diagram of intelligent reasoning of the switch remote signaling displacement and protection action logic in an embodiment of the invention;
fig. 3 is a logic diagram of fault presentation in an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. Fig. 1 is a flowchart of an intelligent alarm method alarm processing based on polymorphic data cooperative processing according to an embodiment of the present invention.
Polymorphic data collected by the station-side intelligent alarm system have different data characteristics (table 1): the real-time performance of the steady-state data and the dynamic data is good, the real-time performance of the fault diagnosis can be improved by utilizing the steady-state data and the dynamic data to carry out the fault diagnosis, and the warning information is sent to operation and maintenance personnel at the first time of the power grid fault; according to the space distribution condition of the secondary equipment, steady state data and dynamic data can be completely monitored, but transient state data is distributed according to voltage levels and only has partial monitoring. If the transient data is at a non-monitoring point during the fault, the steady-state data and the dynamic data can be independently utilized for fault diagnosis; if the fault recorder exists, the short-circuit current and the fault ranging information are obtained through the transient data fault waveform, the fault type is judged, and the fault analysis and the positioning can be further assisted by operation and maintenance personnel.
Table 1: grid tri-state data characterization
The protection device RTU and the synchronous phasor measurement device PMU are distributed at each interval at the station end, and the data are all sent up. The fault recorder is distributed at the station end according to the voltage level and the data are all sent up. Therefore, from the spatial distribution point, the steady-state data and the dynamic data have complete monitoring, the transient data only have partial monitoring, and under the condition that the transient data do not have monitoring, the fault diagnosis can be carried out by independently utilizing the steady-state data and the dynamic data.
Example 1: an intelligent alarm method based on polymorphic data cooperative processing comprises the following steps: collecting power grid steady-state data, determining the fault phase according to the power grid steady-state data, extracting action elements, action events and whole set of report information according to protection starting signals in the power grid steady-state data, and generating a fault brief report according to logic intelligent reasoning; collecting power grid dynamic data, and determining fault phases according to the power grid dynamic data; if the fault phase determined according to the power grid steady state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, warning abnormality is prompted.
In this embodiment, the switch remote signaling of the station-side protection device RTU shifts and protects the action signal. By using the intelligent reasoning method of the switch remote signaling deflection and protection action logic, the power grid faults are rapidly judged, independent fault briefs are generated, and fault analysis results (such as fault time, fault equipment, fault phase and reclosure) are stored in a database.
By adopting an electrical quantity diagnosis method based on dynamic data, the dynamic data of a PMU (synchronous phasor measurement unit) at a station end is received in real time, information representing a short-circuit fault of a power grid is extracted from three-phase amplitude values and phase angles of voltage and current, faults occurring in the power grid are rapidly diagnosed, a fault analysis result is compared with a steady-state data analysis result, if the fault analysis result is consistent with the steady-state data analysis result, the fault analysis result is stored in a database, and otherwise, warning abnormality is prompted.
FIG. 2 is a logic diagram of intelligent reasoning of switch remote signaling displacement and protection action logic based on the intelligent warning system and method of the polymorphic data cooperative processing. The reasoning flow is as follows:
firstly, collecting steady-state data, judging whether the steady-state data is a switching signal, and then carrying out reasoning judgment on the time sequence of a switching tripping action signal corresponding to fault equipment: if the switching action sequence is 'first split and then close' and no 'sub-split' action, the phase-to-phase fault exists; otherwise, single-phase faults are generated; if the single-phase fault exists, whether the switching operation signal is a split-phase signal is further analyzed, if the single-phase fault exists, the specific phase of the split-phase signal is judged, if the single-phase signal is an A-phase switching operation signal, the fault exists as an A-phase operation, if the single-phase signal is a B-phase switching operation signal, the fault exists as a B-phase operation, and if the single-phase signal exists as a C-phase operation signal, the fault exists as a C-phase operation.
Fig. 3 is a logic diagram of fault presentation. The processing flow is as follows:
firstly, when a power grid fails, an intelligent reasoning diagnosis module based on steady-state data judges whether a protection action signal meets the protection action signal type of 'protection start', namely BH_ACT, and if the protection action signal type is 'occurring', the intelligent reasoning diagnosis module determines that the power grid fails to start, and caches the current fault sequence number FN=0x02H;
further, the protection action signal is continuously acquired, the type of the protection action signal is judged to be an action element, the fault serial number FA of the action element is consistent with the fault serial number FN of the protection starting signal, and the action element is stored;
further, the protection action signal is continuously acquired, the type of the protection action signal is judged to be an action event, the fault sequence number FB of the action event is consistent with the fault sequence number FN of the protection starting signal, and the action event is saved;
further, continuously acquiring a protection action signal, judging that the type of the protection action signal is a whole group report, and keeping the whole group report, wherein the fault sequence number FC of the whole group report is consistent with the fault sequence number FN of the protection starting signal;
finally, continuously acquiring a protection action signal, and if the protection action signal type is 'protection start', namely BH_ACT, and the state value is 'reset', ending the fault, and generating a fault bulletin.
The embodiment provides an intelligent alarm method based on polymorphic data collaborative processing, which collects polymorphic data of secondary equipment at a station end in real time in a direct-picking and direct-transmitting mode, establishes an intelligent logic collaborative reasoning diagnosis module based on steady-state data and dynamic data according to respective electrical characteristics of different data sources, and the result can be provided for operation and maintenance personnel as a basis for next operation and maintenance. The method provided by the invention can perfect the operation monitoring method of the secondary equipment of the power grid, does not depend on the original alarm information of the secondary equipment, and provides auxiliary monitoring measures. The method can quickly find out abnormal operation of the power grid, remind operation and maintenance personnel to solve problems in time, prevent further expansion of accidents and improve real-time performance and reliability of online fault diagnosis of the power grid.
Example 2: on the basis of embodiment 1, the intelligent alarm method based on polymorphic data cooperative processing provided in this embodiment further includes: and acquiring transient data, namely receiving the transient data sent by the recorder, extracting fault waveform information, wherein the extracted fault waveform information comprises maximum short-circuit current, voltage and fault ranging, performing power grid fault diagnosis, comparing a power grid fault diagnosis result determined by utilizing the transient data with a diagnosis result obtained based on steady-state data and dynamic data respectively, if the power grid fault diagnosis result is consistent with the diagnosis result obtained based on the steady-state data and the dynamic data, storing the analysis result, and otherwise prompting alarm abnormality. Because transient data (fault wave recording) is low in real time, the transient data is actively sent after a power grid fails for a period of time. After receiving the transient data, the intelligent alarm system at the station end further analyzes the fault type by using a voltage-current mode matching method similar to the dynamic data.
According to the intelligent warning method based on the multi-state data collaborative processing, when a power grid fails, intelligent reasoning diagnosis and electrical quantity diagnosis are performed on steady-state data and dynamic data, and fault time, fault equipment, fault phase and reclosing are analyzed and judged, and independent fault briefs are generated. If the space distribution point comprises a fault recorder, electrical quantity diagnosis is carried out on the transient data, and short-circuit current, voltage and fault distance measurement are further analyzed. And finally, comprehensively comparing the analysis results of the three-state fault data, and providing timely and reliable fault diagnosis information for operation and maintenance personnel. And through intelligent reasoning and electrical quantity feature diagnosis of steady-state data, dynamic data and transient data, the power grid fault is judged and inferred in a cooperative mode.
Example 3: corresponding to the embodiment provided by the intelligent warning method based on polymorphic data cooperative processing provided in embodiment 1, this embodiment provides an intelligent warning system based on polymorphic data cooperative processing, including: the system comprises a data acquisition module, a steady-state data diagnosis module, a dynamic data diagnosis module and a collaborative reasoning diagnosis module; the data acquisition module is used for acquiring power grid steady state data and power grid dynamic data, the steady state data diagnosis module is used for determining fault phases according to the power grid steady state data, extracting action elements, action events and whole set of report information according to protection starting signals in the power grid steady state data, generating fault briefs according to logic intelligent reasoning, and uploading diagnosis results and the generated fault briefs to the collaborative reasoning diagnosis module; the dynamic data diagnosis module is used for generating a fault brief report according to logic intelligent reasoning; collecting power grid dynamic data, and determining fault phases according to the power grid dynamic data;
the collaborative reasoning diagnosis module is used for judging that if the fault phase determined according to the power grid steady state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, warning abnormality is prompted.
Example 4: on the basis of embodiment 3, the intelligent warning system based on polymorphic data cooperative processing further comprises a transient data diagnosis module, wherein the transient extracts fault waveform information including maximum short-circuit current, voltage and fault ranging according to the acquired transient data, and performs power grid fault diagnosis;
the collaborative reasoning diagnosis module is also used for comparing the power grid fault diagnosis result determined by utilizing the transient data with the diagnosis result obtained based on the steady state data and the dynamic data respectively, storing the analysis result if the diagnosis result is consistent, otherwise prompting the alarm abnormality.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus/unit/module may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are all within the protection of the present invention.
Claims (5)
1. The intelligent alarm method based on polymorphic data cooperative processing is characterized by comprising the following steps: collecting power grid steady-state data, determining the fault phase according to the power grid steady-state data, extracting action elements, action events and whole set of report information according to protection starting signals in the power grid steady-state data, and generating a fault brief report according to logic intelligent reasoning; collecting power grid dynamic data, and determining fault phases according to the power grid dynamic data;
if the fault phase determined according to the power grid steady state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, prompting that the alarm is abnormal;
the specific method for generating the fault briefing according to the logic intelligent reasoning is as follows:
s1, when a power grid fails, acquiring a protection action signal, and if the protection action signal is of a protection starting type and the protection action signal is in a state of occurring, caching a failure serial number of the protection starting signal;
s2: if the protection action signal is an action element, and the fault sequence number of the action element is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action element queue;
s3, if the protection action signal is an action event and the fault sequence number of the protection action signal is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action event queue;
s4, if the report is a whole group report, and the fault sequence number of the report is consistent with the fault sequence number of the protection starting signal, the report is stored in a whole group report queue;
s5, if the type of the protection action signal is 'protection start', and the state value is 'reset', judging to be over, and generating a fault brief report according to the fault serial number of the protection start signal, the action element queue, the action event queue and the whole group of report queues;
the method further comprises the steps of collecting transient data, extracting fault waveform information comprising maximum short-circuit current, voltage and fault ranging according to the collected transient data, performing power grid fault diagnosis, comparing power grid fault diagnosis results determined by the transient data with diagnosis results obtained based on steady-state data and dynamic data respectively, storing analysis results if the diagnosis results are consistent, and otherwise prompting alarm abnormality.
2. The intelligent warning method based on collaborative processing of polymorphic data according to claim 1, wherein determining a fault phase from grid steady state data includes the steps of:
when the power grid fails, a switch split-phase action signal is obtained according to a remote signaling displacement signal in power grid steady-state data, and a switch action sequence is obtained according to the switch split-phase action signal; if the switching action sequence is 'first split and then close' and no 'sub-split' action, the phase-to-phase fault is generated, otherwise, the single-phase fault is generated;
if the fault is a single-phase fault and the switch contains split-phase action information, the switch action phase is the corresponding fault phase.
3. The intelligent warning method based on collaborative processing of polymorphic data according to claim 1, wherein determining a fault phase from grid dynamic data includes the steps of: and extracting power grid short-circuit fault information in the voltage and the current, and determining fault phases by utilizing the three-phase amplitude values and the three-phase directions of the fault voltage and the fault current, wherein specific logic reasoning is as follows:
s1, if the single-phase short-circuit current is zero, the non-fault phase voltage rises to be the line voltage, and then the single-phase short-circuit is formed;
s2, if the two-phase short-circuit current is positive sequence current
The voltage of the non-fault phase of the short-circuit point is twice the positive sequence voltage, the voltage of the fault phase is half of the voltage of the non-fault phase and the directions are opposite, and the voltage of the fault phase is two-phase short circuit; otherwise, the circuit is in three-phase short circuit.
4. The intelligent alarm system based on polymorphic data cooperative processing is characterized by comprising: the system comprises a data acquisition module, a steady-state data diagnosis module, a dynamic data diagnosis module and a collaborative reasoning diagnosis module; the data acquisition module is used for acquiring power grid steady state data and power grid dynamic data, the steady state data diagnosis module is used for determining fault phases according to the power grid steady state data, extracting action elements, action events and whole set of report information according to protection starting signals in the power grid steady state data, generating fault briefs according to logic intelligent reasoning, and uploading diagnosis results and the generated fault briefs to the collaborative reasoning diagnosis module; the dynamic data diagnosis module is used for generating a fault brief report according to logic intelligent reasoning; collecting power grid dynamic data, and determining fault phases according to the power grid dynamic data;
the collaborative reasoning diagnosis module is used for judging that if the fault phase determined according to the power grid steady state data is consistent with the fault phase determined according to the power grid dynamic data, storing and issuing a fault brief report; otherwise, prompting that the alarm is abnormal;
the specific method for generating the fault briefing according to the logic intelligent reasoning is as follows:
s1, when a power grid fails, acquiring a protection action signal, and if the protection action signal is of a protection starting type and the protection action signal is in a state of occurring, caching a failure serial number of the protection starting signal;
s2: if the protection action signal is an action element, and the fault sequence number of the action element is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action element queue;
s3, if the protection action signal is an action event and the fault sequence number of the protection action signal is consistent with the fault sequence number of the protection starting signal, the protection action signal is stored in an action event queue;
s4, if the report is a whole group report, and the fault sequence number of the report is consistent with the fault sequence number of the protection starting signal, the report is stored in a whole group report queue;
s5, if the type of the protection action signal is 'protection start', and the state value is 'reset', judging to be over, and generating a fault brief report according to the fault serial number of the protection start signal, the action element queue, the action event queue and the whole group of report queues;
the system also comprises a transient data diagnosis module, wherein the transient data diagnosis module extracts fault waveform information comprising maximum short-circuit current, voltage and fault ranging according to the acquired transient data and performs power grid fault diagnosis;
the collaborative reasoning diagnosis module is also used for comparing the power grid fault diagnosis result determined by using the transient data with the diagnosis result obtained based on the steady state data and the dynamic data respectively, storing the analysis result if the diagnosis result is consistent, otherwise prompting the abnormal alarming.
5. The intelligent warning system based on collaborative processing of polymorphic data according to claim 4, further comprising a human-machine interface coupled to the collaborative inferential diagnostic module via a message bus for presenting the fault presentation.
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