CN114781476A - Fault analysis system and method for measuring equipment - Google Patents
Fault analysis system and method for measuring equipment Download PDFInfo
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- CN114781476A CN114781476A CN202210227867.5A CN202210227867A CN114781476A CN 114781476 A CN114781476 A CN 114781476A CN 202210227867 A CN202210227867 A CN 202210227867A CN 114781476 A CN114781476 A CN 114781476A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention relates to a system and a method for analyzing faults of measuring equipment, which comprises the following steps: the system comprises a wave recording module, a fault analysis module, an event tree analysis module, a fault tree analysis module, an interference data module and a control module; the wave recording module is used for recording waves; the fault analysis module is used for determining a fault, recording the fault, sending the fault record to the event tree analysis module, and sending a starting signal to the interference data module; the event tree analysis module analyzes the fault event and outputs the event tree to the fault tree analysis module; the fault tree analysis module determines the fault type of the measuring equipment.
Description
Technical Field
The invention belongs to the technical field of power system fault detection, and particularly relates to a system and a method for analyzing faults of a measuring device.
Background
The network interconnection scale and the operation structure of a modern power system are continuously enlarged, the loss caused by faults is usually huge, along with the continuous upgrade of a power grid, the application of the power grid is controlled by a computer to be more and more extensive, the accurate application of measuring equipment in the power grid is relied on, the accurate measurement of the measuring equipment is performed, the monitoring of the power grid is more and more precise, the occurrence of the faults is inevitable due to the influence of multiple factors such as weather, people and devices, the power system has many power failure accidents once, the great loss is caused to the human economy, and the human life and social progress is influenced to a great extent. Then, in the automatic control of the power grid, accurate data of the measuring equipment is needed, if the measuring equipment breaks down, the measured data is inaccurate, a background controller or a server can be controlled by mistake to a certain extent, how to distinguish the fault of the power grid or the fault of the measuring equipment is carried out, and the position or the reason of the fault of the measuring equipment is accurately found out, which is of great significance for the intelligent control of the power grid.
Disclosure of Invention
The invention discloses a fault analysis system for measuring equipment, which comprises: the system comprises a wave recording module, a fault analysis module, an event tree analysis module, a fault tree analysis module, an interference data module and a control module; the wave recording module is used for monitoring multiple types of monitoring data of the power grid system through the panoramic wave recording platform and sending the monitoring data to the fault analysis module; the fault analysis module is used for receiving the monitoring data, performing load flow calculation and threshold judgment, performing threshold judgment on various types of data according to load flow calculation results, searching the monitoring data exceeding a set value if the threshold judgment exceeds the set value, determining the corresponding position of the monitoring data in a power grid system, starting fault acquisition equipment at the corresponding position and fault acquisition equipment at other positions adjacent to the corresponding position according to fault record configuration conditions, recording faults, sending the fault records to the event tree analysis module, and then sending a starting signal to the interference data module;
after the event tree analysis module receives the fault records, forming the fault records into an event tree; after receiving the starting signal, the interference data module sends a typical fault type to the event tree analysis module, the event tree analysis module compares the received typical fault type with the event tree and analyzes the comparison result to judge whether the fault in the current fault tree belongs to the typical fault type, if so, the current fault is judged to belong to the power grid fault, the power grid fault type is sent to the control module, and after receiving the power grid fault, the control module performs safety check to remove the power grid fault; if not, judging that the current fault belongs to a non-grid typical fault or a measuring equipment fault, and outputting an event tree to the fault tree analysis module; and after receiving the event tree, the fault tree analysis module receives a control signal of the interference data module, controls the tidal current data of the position corresponding to the fault to change, judges whether the measurement data of the position corresponding to the fault tree is subjected to expected measurement change according to the change, judges that the current time is a non-power grid typical fault if the expected measurement change is carried out, judges that the current time is a measurement equipment fault if the expected measurement change is not carried out, and analyzes the measurement action information of the measurement equipment through the panoramic wave recording platform to determine the fault type of the measurement equipment.
The system for analyzing the faults of the measuring equipment further comprises a human-computer interaction module, and the human-computer interaction module is used for carrying out power grid fault or measuring equipment fault alarm prompt.
In the measurement device fault analysis system, after the event tree analysis module receives the fault records, forming an event tree from the fault records specifically includes: after receiving a fault record acquired by fault acquisition equipment, integrating fault data according to a time synchronization unit and a fault record position, then performing fault digital twinning, and forming a fault time-space tracing digital twinning model according to a fault digital twinning result, wherein the fault time-space tracing digital twinning model comprises a fault time digital twinning model and a fault space digital twinning model, and the fault time digital twinning model and the fault space digital twinning model form a time and space superposition correlation event tree according to a time sequence and a space position.
According to the fault time digital twin model of the measuring equipment, fault data are collected and classified into analog quantity data and digital quantity data, the digital quantity data are switch position information and action information, the analog quantity data are voltage, current, active power and reactive power data, the digital quantity data are displayed as a state change sequence according to a time sequence, the analog quantity data synchronize different time points and different fault collecting equipment according to time identification to form an analog quantity change trend, and digital twin is performed according to the time sequence;
the fault space digital twin model is that according to the space distribution of the fault acquisition equipment, analog quantity data and digital quantity data are screened according to places, the state change sequence and the analog quantity change trend display at any acquisition point are realized, and digital twin is performed according to the space distribution.
In the system for analyzing a fault of a metrology device, the determining a fault type of the metrology device specifically includes: according to the measuring error of the measuring equipment, based on the measuring data in the fault time-space tracing digital twin model, tracing back a fault time point in the fault time-space tracing digital twin model, replacing the measuring equipment at the fault position, carrying out load flow calculation, deducing an actual normal measuring value of the measuring equipment at the fault position, comparing the actual normal measuring value with the fault measuring equipment, calculating the measuring error of the measuring equipment, and determining the evolution rule of the measuring error of the measuring equipment by carrying out multiple deductions in the fault time-space tracing digital twin model for multiple times;
according to the evolution rule of the metering error of the metering equipment, identifying all components causing the equipment fault according to the typical faults of the metering equipment in the fault library, and estimating the fault and the reliability of the metering equipment by utilizing the reliability information of the components;
and integrating historical information of the components with field dynamic data and metering errors in a fault space-time tracing digital twin model, researching the service life and reliability evolution rule of the measuring equipment based on an information fusion technology and a Bayes theory, and determining the fault type of the measuring equipment.
A method for analyzing faults of measuring equipment comprises the following steps:
step S1), monitoring multiple types of monitoring data of the power grid system through the panoramic wave recording platform, and sending the monitoring data to a fault analysis module;
step S2), receiving the monitoring data, carrying out load flow calculation and threshold judgment, and carrying out threshold judgment on each type of data according to the load flow calculation result; if the threshold value is judged to exceed the set value, executing step S3); if not, ending the fault analysis;
step S3), if the threshold value exceeds the set value, searching the monitoring data exceeding the set value, determining the corresponding position of the monitoring data in the power grid system, starting the fault acquisition equipment at the corresponding position and the fault acquisition equipment at other positions adjacent to the corresponding position according to the fault record configuration condition to perform fault record, and sending the fault record to the event tree analysis module and then sending a starting signal to the interference data module;
step S4), after receiving the fault records, forming the fault records into an event tree; after receiving the starting signal, the interference data module sends a typical fault type to an event tree analysis module, and the event tree analysis module receives the typical fault type and then compares the typical fault type with the event tree for analysis;
step S5), judging whether the fault in the current fault tree belongs to a typical fault type; if yes, perform step S6), if no, perform step S7);
step S6), judging that the current fault belongs to the power grid fault, sending the type of the power grid fault to a control module, and after receiving the power grid fault, the control module carries out safety check and removes the power grid fault;
step S7), if the current fault is judged to belong to a non-grid typical fault or a measuring equipment fault, outputting an event tree to the fault tree analysis module; after the fault tree analysis module receives the event tree, the fault tree analysis module receives a control signal of the interference data module and controls the tide data of the position corresponding to the fault to be changed;
step S8), determining whether the metrology data at the corresponding position of the fault tree is changed according to the change, if the expected metrology change occurs, performing step S9), and if the expected metrology change does not occur, performing step S10);
step S9), judging that the fault is a non-grid typical fault at the moment;
step S10), if the fault of the measuring equipment is judged at the moment, the measuring action information of the measuring equipment is analyzed through the panoramic wave recording platform, and the fault type of the measuring equipment is determined.
The method for analyzing the faults of the measuring equipment further comprises a human-computer interaction module, and the human-computer interaction module is used for carrying out power grid fault or measuring equipment fault alarm prompt.
In the method for analyzing faults of measurement equipment, after the event tree analysis module receives the fault records in step S4), forming the fault records into an event tree specifically includes: after receiving a fault record acquired by the fault acquisition equipment, integrating fault data according to a time synchronization unit and a fault record position, then performing fault digital twinning, forming a fault time-space tracing digital twinning model according to a fault digital twinning result, wherein the fault time-space tracing digital twinning model comprises a fault time digital twinning model and a fault space digital twinning model, and forming a time and space superposition association event tree by the fault time digital twinning model and the fault space digital twinning model according to a time sequence and a space position.
According to the fault analysis method of the measuring equipment, the fault time digital twinning model is used for collecting and classifying fault data into analog quantity data and digital quantity data, the digital quantity data are switch position information and action information, the analog quantity data are voltage, current, active power and reactive power data, the digital quantity data are displayed as a state change sequence according to a time sequence, the analog quantity data synchronize different time points and different fault collecting equipment according to time marks to form an analog quantity change trend, and digital twinning is performed according to the time sequence;
the failure space digital twin model is that according to the spatial distribution of failure collection equipment, analog quantity data and digital quantity data are screened according to places, the state change sequence and the analog quantity change trend display at any collection point are realized, and digital twin is performed according to the spatial distribution.
In the method for analyzing faults of the metrology equipment, the determining the fault type of the metrology equipment in the step S10) specifically includes: step S101), aiming at the metering error of the measuring equipment, tracing back the failure time point in the failure time-space tracing back digital twin model based on the metering data in the failure time-space tracing back digital twin model, replacing the measuring equipment at the failure position, and carrying out load flow calculation;
step S102), deducing an actual normal measurement value of the measurement equipment at the fault position, comparing the actual normal measurement value with the measurement equipment at the fault position, calculating the measurement error of the measurement equipment, and determining the evolution rule of the measurement error of the measurement equipment by carrying out multiple deductions in a fault time-space tracing digital twin model for multiple times;
step S103), identifying all components causing the equipment fault according to the evolution rule of the metering error of the metering equipment and the typical fault of the metering equipment in the fault library, and estimating the fault and the reliability of the metering equipment by utilizing the reliability information of the components;
step S104), fusing historical information of the components with field dynamic data and metering errors in the fault time-space tracing digital twin model, researching the service life and reliability evolution rule of the measuring equipment based on an information fusion technology and a Bayes theory, and determining the fault type of the measuring equipment.
The invention provides a system and a method for analyzing faults of measuring equipment, which can better analyze the faults of the measuring equipment through a fault analysis module, an event tree analysis module, a fault tree analysis module and an interference data module, determine the fault type of the measuring equipment, better distinguish the faults of a power grid and the faults of the measuring equipment, and provide more humanized and faster analysis for automatic control of the power grid. One of the main improvement points of the invention is that hierarchical fault differentiation is performed through the event tree analysis module and the fault tree analysis module, interference simulation can be performed through the interference data module, typical power grid faults, atypical power grid faults or measuring equipment faults can be better differentiated, and then the type of the measuring equipment faults is differentiated in the digital twin model, the evolution process of measuring equipment components is identified, and the measuring equipment faults are partitioned. The invention has another improvement that how to identify faults of the measuring equipment is specifically carried out, aiming at the measuring errors of the measuring equipment, based on the measuring data in the fault space-time tracing digital twin model, tracing back the fault time point in the fault space-time tracing digital twin model, replacing the measuring equipment at the fault position, carrying out load flow calculation, deducing the actual normal measuring value of the measuring equipment at the fault position, comparing the actual normal measuring value with the faulty measuring equipment, calculating the measuring errors of the measuring equipment, and determining the evolution rule of the measuring errors of the measuring equipment by carrying out multiple deductions in the fault space-time tracing digital twin model.
Drawings
FIG. 1 is a schematic diagram of a fault analysis system of a metrology device of the present invention.
FIG. 2 is a schematic diagram of a method for analyzing faults of a metrology device according to the present invention.
FIG. 3 is a schematic diagram illustrating a specific process for determining the fault type of the metrology device according to the present invention.
Detailed Description
The present application will now be described in further detail with reference to the drawings, it should be noted that the following detailed description is given for illustrative purposes only and is not to be construed as limiting the scope of the present application, as those skilled in the art will be able to make numerous insubstantial modifications and adaptations to the present application based on the above disclosure.
Fig. 1 is a schematic diagram of a fault analysis system of a metrology device according to the present invention. The invention discloses a fault analysis system for measuring equipment, which comprises: the system comprises a wave recording module, a fault analysis module, an event tree analysis module, a fault tree analysis module, an interference data module and a control module; the wave recording module is used for monitoring multiple types of monitoring data of the power grid system through the panoramic wave recording platform and sending the monitoring data to the fault analysis module; the fault analysis module is used for receiving the monitoring data, performing load flow calculation and threshold judgment, performing threshold judgment on various types of data according to the load flow calculation result, searching the monitoring data exceeding a set value if the threshold judgment exceeds the set value, determining the corresponding position of the monitoring data in a power grid system, starting fault acquisition equipment at the corresponding position and fault acquisition equipment at other positions adjacent to the corresponding position according to the fault record configuration condition to perform fault record, and sending a starting signal to the interference data module after sending the fault record to the event tree analysis module;
after the event tree analysis module receives the fault records, forming the fault records into an event tree; after receiving the starting signal, the interference data module sends a typical fault type to the event tree analysis module, the event tree analysis module compares the received typical fault type with the event tree and analyzes the comparison result to judge whether the fault in the current fault tree belongs to the typical fault type, if so, the current fault is judged to belong to the power grid fault, the power grid fault type is sent to the control module, and after receiving the power grid fault, the control module performs safety check to remove the power grid fault; if not, judging that the current fault belongs to a non-grid typical fault or a measuring equipment fault, and outputting the event tree to the fault tree analysis module; and after receiving the event tree, the fault tree analysis module receives a control signal of the interference data module, controls the change of the tidal current data at the position corresponding to the fault, judges whether the measurement data at the position corresponding to the fault tree is subjected to expected measurement change according to the change, judges that the fault is a non-power grid typical fault at the moment if the expected measurement change is carried out, judges that the fault is a measurement equipment at the moment if the expected measurement change is not carried out, and analyzes the measurement action information of the measurement equipment through the panoramic wave recording platform to determine the fault type of the measurement equipment.
The system for analyzing the faults of the measuring equipment further comprises a human-computer interaction module, and the human-computer interaction module is used for carrying out power grid fault or measuring equipment fault alarm prompt.
In the measurement device fault analysis system, after the event tree analysis module receives the fault records, forming an event tree from the fault records specifically includes: after receiving a fault record acquired by fault acquisition equipment, integrating fault data according to a time synchronization unit and a fault record position, then performing fault digital twinning, and forming a fault time-space tracing digital twinning model according to a fault digital twinning result, wherein the fault time-space tracing digital twinning model comprises a fault time digital twinning model and a fault space digital twinning model, and the fault time digital twinning model and the fault space digital twinning model form a time and space superposition correlation event tree according to a time sequence and a space position.
According to the system for analyzing the faults of the measuring equipment, the fault time digital twinning model is used for collecting and classifying fault data into analog quantity data and digital quantity data, the digital quantity data are switch position information and action information, the analog quantity data are voltage, current, active power and reactive power data, the digital quantity data are displayed as a state change sequence according to a time sequence, the analog quantity data synchronize different time points and different fault collecting equipment according to time marks to form an analog quantity change trend, and digital twinning is performed according to the time sequence;
the fault space digital twin model is that according to the space distribution of the fault acquisition equipment, analog quantity data and digital quantity data are screened according to places, the state change sequence and the analog quantity change trend display at any acquisition point are realized, and digital twin is performed according to the space distribution.
In the system for analyzing a fault of a metrology device, the determining a fault type of the metrology device specifically includes: according to the measuring error of the measuring equipment, based on the measuring data in the fault time-space tracing digital twin model, tracing back a fault time point in the fault time-space tracing digital twin model, replacing the measuring equipment at the fault position, carrying out load flow calculation, deducing an actual normal measuring value of the measuring equipment at the fault position, comparing the actual normal measuring value with the fault measuring equipment, calculating the measuring error of the measuring equipment, and determining the evolution rule of the measuring error of the measuring equipment by carrying out multiple deductions in the fault time-space tracing digital twin model for multiple times;
according to the evolution rule of the metering error of the metering equipment, identifying all components causing the equipment fault according to the typical faults of the metering equipment in the fault library, and estimating the fault and the reliability of the metering equipment by utilizing the reliability information of the components;
and (3) integrating historical information of components with field dynamic data and metering errors in a failure time-space tracing digital twin model, researching the service life and reliability evolution rule of the measuring equipment based on an information fusion technology and a Bayes theory, and determining the failure type of the measuring equipment.
Fig. 2 is a schematic diagram of a method for analyzing a fault of a measurement device according to the present invention. The method comprises the following steps:
step S1), monitoring multiple types of monitoring data of the power grid system through the panoramic wave recording platform, and sending the monitoring data to a fault analysis module;
step S2), receiving the monitoring data, performing load flow calculation and threshold judgment, and performing threshold judgment on various types of data according to load flow calculation results; if the threshold value is judged to exceed the set value, executing step S3); if not, ending the fault analysis;
step S3), if the threshold value exceeds the set value, searching the monitoring data exceeding the set value, determining the corresponding position of the monitoring data in the power grid system, starting the fault acquisition equipment at the corresponding position and the fault acquisition equipment at other positions adjacent to the corresponding position according to the fault record configuration condition to perform fault record, and sending the fault record to the event tree analysis module and then sending a starting signal to the interference data module;
step S4), after receiving the fault record, forming the fault record into an event tree; after receiving the starting signal, the interference data module sends a typical fault type to an event tree analysis module, and the event tree analysis module receives the typical fault type and then compares the typical fault type with the event tree for analysis;
step S5), judging whether the fault in the current fault tree belongs to a typical fault type; if yes, perform step S6), if no, perform step S7);
step S6), judging that the current fault belongs to a power grid fault, sending the type of the power grid fault to a control module, and after receiving the power grid fault, the control module performs safety check and removes the power grid fault;
step S7), if the current fault is judged to belong to a non-grid typical fault or a measuring equipment fault, outputting an event tree to the fault tree analysis module; after the fault tree analysis module receives the event tree, the fault tree analysis module receives a control signal of the interference data module and controls the tide data of the position corresponding to the fault to be changed;
step S8), judging whether the measurement data of the corresponding position of the fault tree is expected to change according to the change, if so, executing the step S9), and if not, executing the step S10);
step S9), judging that the fault is a non-grid typical fault at the moment;
step S10), if the fault of the measuring equipment is judged at the moment, the measuring action information of the measuring equipment is analyzed through the panoramic wave recording platform, and the fault type of the measuring equipment is determined.
The method for analyzing the faults of the measuring equipment further comprises a human-computer interaction module, and the human-computer interaction module is used for carrying out power grid fault or measuring equipment fault alarm prompting.
In the method for analyzing faults of measurement equipment, after the event tree analysis module receives the fault records in step S4), forming the fault records into an event tree specifically includes: after receiving a fault record acquired by the fault acquisition equipment, integrating fault data according to a time synchronization unit and a fault record position, then performing fault digital twinning, forming a fault time-space tracing digital twinning model according to a fault digital twinning result, wherein the fault time-space tracing digital twinning model comprises a fault time digital twinning model and a fault space digital twinning model, and forming a time and space superposition association event tree by the fault time digital twinning model and the fault space digital twinning model according to a time sequence and a space position.
According to the fault time digital twin model, fault data are collected and classified into analog quantity data and digital quantity data, the digital quantity data are switch position information and action information, the analog quantity data are voltage, current, active power and reactive power data, the digital quantity data are displayed as a state change sequence according to a time sequence, the analog quantity data synchronize different time points and different fault collection devices according to time identification to form an analog quantity change trend, and digital twin is performed according to the time sequence;
the failure space digital twin model is that according to the spatial distribution of failure collection equipment, analog quantity data and digital quantity data are screened according to places, the state change sequence and the analog quantity change trend display at any collection point are realized, and digital twin is performed according to the spatial distribution.
Fig. 3 is a schematic diagram illustrating a specific process for determining the fault type of the metrology device in step S10) according to the present invention; the method specifically comprises the following steps:
step S101), aiming at the metering error of the measuring equipment, tracing back a fault time point in the fault time-space tracing digital twin model based on the metering data in the fault time-space tracing digital twin model, replacing the measuring equipment at the fault position, and carrying out load flow calculation;
step S102), deducing an actual normal measurement value of the measurement equipment at the fault position, comparing the actual normal measurement value with the measurement equipment at the fault position, calculating the measurement error of the measurement equipment, and determining the evolution rule of the measurement error of the measurement equipment by carrying out multiple deductions in a fault time-space tracing digital twin model for multiple times;
step S103), identifying all components causing equipment faults according to the evolution rule of the metering errors of the metering equipment and the typical faults of the metering equipment in the fault library, and estimating the faults and the reliability of the metering equipment by utilizing the reliability information of the components;
step S104), fusing historical information of the components with field dynamic data and metering errors in the failure time-space tracing digital twin model, researching the service life and reliability evolution rule of the measuring equipment based on an information fusion technology and a Bayes theory, and determining the failure type of the measuring equipment.
The invention provides a system and a method for analyzing faults of measuring equipment, which can better analyze the faults of the measuring equipment through a fault analysis module, an event tree analysis module, a fault tree analysis module and an interference data module, determine the fault type of the measuring equipment, better distinguish the faults of a power grid and the faults of the measuring equipment, and provide more humanized and faster analysis for automatic control of the power grid. One of the main improvement points of the invention is that the event tree analysis module and the fault tree analysis module are used for grading fault differentiation, the interference data module is used for interference simulation, typical power grid faults, atypical power grid faults or measuring equipment faults can be better differentiated, and then the type of the measuring equipment faults is differentiated in the digital twin model, the evolution process of the measuring equipment components is identified, and the measuring equipment faults are partitioned. The invention has the other improvement that the fault identification of the measuring equipment is carried out, aiming at the measuring error of the measuring equipment, based on the metering data in the fault space-time tracing digital twin model, the fault time point is traced back in the fault space-time tracing digital twin model, the measuring equipment at the fault position is replaced, the load flow calculation is carried out, the actually normal measuring value of the measuring equipment at the fault position is deduced, the actually normal measuring value is compared with the faulty measuring equipment, the metering error of the measuring equipment is calculated, and the evolution rule of the metering error of the measuring equipment is determined by carrying out multiple deductions in the fault space-time tracing digital twin model.
Claims (10)
1. A kind of measuring equipment fault analysis system, characterized by comprising: the system comprises a wave recording module, a fault analysis module, an event tree analysis module, a fault tree analysis module, an interference data module and a control module; the wave recording module is used for monitoring multiple types of monitoring data of the power grid system through the panoramic wave recording platform and sending the monitoring data to the fault analysis module; the fault analysis module is used for receiving the monitoring data, performing load flow calculation and threshold judgment, performing threshold judgment on various types of data according to the load flow calculation result, searching the monitoring data exceeding a set value if the threshold judgment exceeds the set value, determining the corresponding position of the monitoring data in a power grid system, starting fault acquisition equipment at the corresponding position and fault acquisition equipment at other positions adjacent to the corresponding position according to the fault record configuration condition to perform fault record, and sending a starting signal to the interference data module after sending the fault record to the event tree analysis module;
after the event tree analysis module receives the fault records, forming the fault records into an event tree; after receiving the starting signal, the interference data module sends a typical fault type to the event tree analysis module, the event tree analysis module compares the received typical fault type with the event tree and analyzes the received typical fault type, judges whether the fault in the current fault tree belongs to the typical fault type, if so, judges that the current fault belongs to the power grid fault and sends the power grid fault type to the control module, and after receiving the power grid fault, the control module performs safety check and power grid fault removal; if not, judging that the current fault belongs to a non-grid typical fault or a measuring equipment fault, and outputting an event tree to the fault tree analysis module; and after receiving the event tree, the fault tree analysis module receives a control signal of the interference data module, controls the change of the tidal current data at the position corresponding to the fault, judges whether the measurement data at the position corresponding to the fault tree is subjected to expected measurement change according to the change, judges that the fault is a non-power grid typical fault at the moment if the expected measurement change is carried out, judges that the fault is a measurement equipment at the moment if the expected measurement change is not carried out, and analyzes the measurement action information of the measurement equipment through the panoramic wave recording platform to determine the fault type of the measurement equipment.
2. The system of claim 1, further comprising a human-computer interaction module, wherein the human-computer interaction module is configured to perform a power grid fault or metrology equipment fault alarm prompt.
3. The system of claim 1, wherein the event tree analysis module, after receiving the fault records, forms the fault records into an event tree specifically comprising: after receiving a fault record acquired by fault acquisition equipment, integrating fault data according to a time synchronization unit and a fault record position, then performing fault digital twinning, and forming a fault time-space tracing digital twinning model according to a fault digital twinning result, wherein the fault time-space tracing digital twinning model comprises a fault time digital twinning model and a fault space digital twinning model, and the fault time digital twinning model and the fault space digital twinning model form a time and space superposition correlation event tree according to a time sequence and a space position.
4. The system for analyzing faults of measuring equipment as claimed in claim 3, wherein the fault time digital twin model is to classify the collection of fault data into analog quantity data and digital quantity data, the digital quantity data are switch position information and action information, the analog quantity data are voltage, current, active power and reactive power data, the digital quantity data are displayed as a state change sequence according to time sequence, the analog quantity data synchronize different fault collection equipment at different time points according to time identification to form an analog quantity change trend, and digital twin is performed according to the time sequence;
the failure space digital twin model is that according to the spatial distribution of failure collection equipment, analog quantity data and digital quantity data are screened according to places, the state change sequence and the analog quantity change trend display at any collection point are realized, and digital twin is performed according to the spatial distribution.
5. The system of claim 4, wherein the determining the type of the fault of the metrology device specifically comprises: aiming at the metering error of the measuring equipment, based on the metering data in the fault time-space tracing digital twin model, tracing a fault time point in the fault time-space tracing digital twin model, replacing the measuring equipment at the fault position, carrying out load flow calculation, deducing the actual normal measuring value of the measuring equipment at the fault position, comparing the actual normal measuring value with the faulty measuring equipment, calculating the metering error of the measuring equipment, and determining the evolution rule of the metering error of the measuring equipment by carrying out multiple deductions in the fault time-space tracing digital twin model for multiple times;
identifying all components causing the equipment fault according to the evolution rule of the metering error of the metering equipment and the typical fault of the metering equipment in the fault library, and estimating the fault and the reliability of the metering equipment by utilizing the reliability information of the components;
and integrating historical information of the components with field dynamic data and metering errors in a fault space-time tracing digital twin model, researching the service life and reliability evolution rule of the measuring equipment based on an information fusion technology and a Bayes theory, and determining the fault type of the measuring equipment.
6. A fault analysis method for a measuring device is characterized by comprising the following steps:
step S1), monitoring multiple types of monitoring data of the power grid system through the panoramic wave recording platform, and sending the monitoring data to a fault analysis module;
step S2), receiving the monitoring data, performing load flow calculation and threshold judgment, and performing threshold judgment on various types of data according to load flow calculation results; if the threshold value is judged to exceed the set value, executing step S3); if not, ending the fault analysis;
step S3), if the threshold value exceeds the set value, searching the monitoring data exceeding the set value, determining the corresponding position of the monitoring data in the power grid system, starting the fault acquisition equipment at the corresponding position and the fault acquisition equipment at other positions adjacent to the corresponding position according to the fault record configuration condition to perform fault record, and sending the fault record to the event tree analysis module and then sending a starting signal to the interference data module;
step S4), after receiving the fault records, forming the fault records into an event tree; after receiving the starting signal, the interference data module sends a typical fault type to an event tree analysis module, and the event tree analysis module receives the typical fault type and then compares the typical fault type with the event tree for analysis;
step S5), judging whether the fault in the current fault tree belongs to a typical fault type; if yes, perform step S6), if no, perform step S7);
step S6), judging that the current fault belongs to the power grid fault, sending the type of the power grid fault to a control module, and after receiving the power grid fault, the control module carries out safety check and removes the power grid fault;
step S7), if the current fault is judged to belong to a non-grid typical fault or a measuring equipment fault, outputting an event tree to the fault tree analysis module; after receiving the event tree, the fault tree analysis module receives a control signal of the interference data module and controls the change of the tidal current data of the position corresponding to the fault;
step S8), judging whether the measurement data of the corresponding position of the fault tree is expected to change according to the change, if so, executing the step S9), and if not, executing the step S10);
step S9), judging that the fault is a non-grid typical fault at the moment;
step S10), if the fault of the measuring equipment is judged at the moment, the measuring action information of the measuring equipment is analyzed through the panoramic wave recording platform, and the fault type of the measuring equipment is determined.
7. The method for analyzing the faults of the measuring equipment as claimed in claim 6, further comprising a human-computer interaction module, wherein the human-computer interaction module is used for carrying out power grid fault or measuring equipment fault alarm prompting.
8. The method for analyzing a fault in a measuring device according to claim 6, wherein, after the event tree analysis module receives the fault record in step S4), the forming the fault record into an event tree specifically includes: after receiving a fault record acquired by the fault acquisition equipment, integrating fault data according to a time synchronization unit and a fault record position, then performing fault digital twinning, forming a fault time-space tracing digital twinning model according to a fault digital twinning result, wherein the fault time-space tracing digital twinning model comprises a fault time digital twinning model and a fault space digital twinning model, and forming a time and space superposition association event tree by the fault time digital twinning model and the fault space digital twinning model according to a time sequence and a space position.
9. The method for analyzing the faults of the measuring equipment as claimed in claim 8, wherein the fault time digital twin model classifies the fault data acquisition into analog quantity data and digital quantity data, the digital quantity data are switch position information and action information, the analog quantity data are voltage, current, active power and reactive power data, the digital quantity data are displayed as a state change sequence according to the time sequence, the analog quantity data synchronize different fault acquisition equipment at different time points according to time identification to form an analog quantity change trend, and digital twinning is performed according to the time sequence;
the fault space digital twin model is that according to the space distribution of the fault acquisition equipment, analog quantity data and digital quantity data are screened according to places, the state change sequence and the analog quantity change trend display at any acquisition point are realized, and digital twin is performed according to the space distribution.
10. The method for analyzing faults of measuring equipment according to claim 9, wherein the step S10) of determining the fault type of the measuring equipment specifically includes:
step S101), aiming at the metering error of the measuring equipment, tracing back a fault time point in the fault time-space tracing digital twin model based on the metering data in the fault time-space tracing digital twin model, replacing the measuring equipment at the fault position, and carrying out load flow calculation;
step S102), deducing an actual normal measurement value of the measurement equipment at the fault position, comparing the actual normal measurement value with the measurement equipment at the fault position, calculating the measurement error of the measurement equipment, and determining the evolution rule of the measurement error of the measurement equipment by carrying out multiple deductions in a fault time-space tracing digital twin model for multiple times;
step S103), identifying all components causing equipment faults according to the evolution rule of the metering errors of the metering equipment and the typical faults of the metering equipment in the fault library, and estimating the faults and the reliability of the metering equipment by utilizing the reliability information of the components;
step S104), fusing historical information of the components with field dynamic data and metering errors in the failure time-space tracing digital twin model, researching the service life and reliability evolution rule of the measuring equipment based on an information fusion technology and a Bayes theory, and determining the failure type of the measuring equipment.
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