Primary and secondary fusion complete ring main unit fault diagnosis method and system

Abstract

The invention discloses a primary and secondary fusion complete ring main unit fault diagnosis method and system, and particularly relates to the technical field of power equipment state monitoring. By constructing an electric early-warning packet, a temperature early-warning packet and an insulation early-warning packet, physical state quantity change rules, including a current change trend, a temperature trend of each component and an insulation resistance change trend, before different alarms occur are recorded, and when real-time monitoring data is matched with the early-warning packets, early warning can be triggered before parameters do not reach an alarm threshold value, so that intervention time is bought for operation and maintenance personnel, and the operation and maintenance efficiency is improved. Fault expansion is avoided, and the problem of lagging of traditional afterward alarm is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment status monitoring, and more particularly to a method and system for diagnosing faults of a primary-secondary integrated ring network box. Background Art

[0002] The primary and secondary integrated ring network box is a key equipment in the distribution network. Its operating status directly affects the power supply reliability. With the development of smart grids, primary and secondary integrated technology has been widely used in ring network boxes.

[0003] However, the existing method for diagnosing faults in primary and secondary integrated ring network boxes still has the following deficiencies in practical applications: The alarm is mostly triggered by the absolute value threshold of the physical state quantity of the primary equipment. It is a post-alarm and cannot analyze and store the data change trend of each ring network box when it alarms. It is also unable to combine the real-time data with the stored data during the real-time monitoring process and issue an alarm in advance through the secondary system, resulting in a lack of intervention time for operation and maintenance personnel, which can easily lead to the expansion of faults.

[0004] Therefore, a method and system for diagnosing faults of a ring main box with integrated primary and secondary functions is introduced. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method and system for diagnosing faults of a primary-secondary integrated ring network box.

[0006] To achieve the above object, the present invention provides the following technical solutions: A method for diagnosing faults of a primary and secondary integrated ring network box, comprising: Identification and retrospective organization: For each triggered alarm signal, after identifying the specific alarm signal, the physical state of the equipment within the set time window before the corresponding alarm signal occurs is retrospectively extracted and analyzed, and then an early warning data packet corresponding to the alarm signal is constructed. The early warning data packet includes an electrical warning package, a temperature warning package, and an insulation warning package. Early warning condition determination: Real-time monitoring of changes in the physical state of primary equipment, and real-time matching with the early warning data packets stored in the database. Based on the results of real-time matching, an alarm signal is issued in advance through the secondary system, and the alarm signal, fault type, location and cause are integrated to output a fault report.

[0007] Specifically, the alarm signal and physical status of the primary equipment include: The alarm signals include electrical alarm, overheating alarm and insulation alarm; the physical state quantity of the primary equipment corresponding to the electrical alarm includes current; the physical state quantity of the primary equipment corresponding to the overheating alarm includes the temperature of each component in the ring network box; the physical state quantity of the primary equipment corresponding to the insulation alarm includes insulation resistance.

[0008] Specifically, the specific process of constructing the electric early warning package is: If the alarm signal is an electrical alarm, the current data within the set time window before the electrical alarm occurs is extracted as the time series data set of the electrical alarm; For the current data at each time point in the time series data set, the average value is calculated to obtain the current performance value before the electrical alarm occurs. At the same time, the highest and lowest values ​​of the current data at each time point are extracted as the current peak value and current valley value before the electrical alarm occurs. Calculate the ratios of the current performance value, current peak value, and current valley value to the preset current rated value, thereby obtaining the performance ratio, peak ratio, and valley ratio corresponding to the electrical alarm; Construct a plane rectangular coordinate system, plot the numerical points corresponding to the current data at each time point in the time series data set in the plane rectangular coordinate system, connect adjacent numerical points, and obtain the current change line before the electrical alarm occurs; Integrate the performance ratio, peak ratio, valley ratio and current change curve to build an electrical warning package corresponding to the electrical alarm.

[0009] Specifically, the specific process of building the temperature warning package is as follows: If the alarm signal is an overheat alarm, the temperature of each component of the ring network box within the set time window before the overheat alarm occurs is extracted as the temperature data set for the overheat alarm; For the temperature values ​​of different components at each time point in the temperature data set, the average value of the temperature of different components is calculated; The temperature performance values ​​of different components are obtained by calculating the ratio of the average temperature of different components to the corresponding set temperature thresholds; The number of components is recorded as X. With the origin of the polar coordinate plane as the center, X rays of set lengths are extended from the origin at equal angles according to the number of components X. Each of the X rays is given a unique identifier, and corresponds one-to-one with each component in the ring network box. Scale marks are marked on each extension line from the origin outward. For each component, the matching scale position is found on the corresponding ray based on the calculated temperature performance value and marked as a data point. After the data points of different components are marked, the data points on adjacent rays are connected in sequence with line segments to form a closed polygon as the temperature status graph. The temperature performance values ​​and temperature status graphs of different components are integrated to construct a temperature warning package corresponding to the overheating alarm.

[0010] Specifically, the specific process of building the insulation warning package is as follows: If the alarm signal is an insulation alarm, the insulation resistance within the set time window before the insulation alarm occurs is extracted as the insulation resistance data set; Calculate the average value of the insulation resistance at each time point in the insulation resistance data set to obtain a mean resistance value, and calculate the ratio of the mean resistance value to a preset insulation resistance threshold value to obtain a resistance ratio; Obtain the total value of the insulation resistance drop within the set time window and divide it by the set time window to obtain the average drop rate. Ratio the average drop rate to the preset safety drop rate threshold to obtain the rate ratio. Integrate the resistance ratio and rate ratio to construct an insulation warning package corresponding to the insulation alarm.

[0011] Specifically, the process of issuing an electrical alarm signal in advance through the secondary system based on the real-time matching result is as follows: Extract each set of electric warning packets from the warning data packets stored in the database, monitor the real-time current changes of the ring network box, and analyze the corresponding performance ratio, peak ratio, valley ratio and current change curve of the real-time current data; Extract the performance ratio, peak ratio, and valley ratio from each set of electrical warning packages, and calculate the difference between them and the performance ratio, peak ratio, and valley ratio corresponding to the real-time current data. Take the absolute values ​​and add them together to obtain the data evaluation value of each set of electrical warning packages. The pass value corresponding to the preset data evaluation value is set. If the data evaluation values ​​of each group of electrical warning packages are greater than the pass value, no electrical alarm signal will be issued through the secondary system; If the data evaluation value of a certain group of electric warning packages is less than the passing value, the electric warning packages with a value less than the passing value are extracted as hidden danger warning packages; Extract the current change line from the hidden danger warning package as the warning line, use the current change line corresponding to the real-time current data as the real-time line, and perform slope analysis between the warning line and the real-time line; For each segment of the real-time broken line and the warning broken line, extract two sets of current values ​​for each segment, compare the two sets of current values, and subtract the current value on the right side of the segment from the current value on the left side of the segment. If the calculated result is a negative value, mark the segment as an ascending segment; if the calculated result is a positive value, mark it as a descending segment. Match the marking results of each component line segment of the real-time polyline with the marking results of each component line segment of the warning polyline. Count the number of successful matches as the number of markings. Calculate the proportion of the number of markings in the total number of component line segments to obtain the trend similarity value between the real-time polyline and the warning polyline. For the successfully matched line segments, obtain the line segment slope and take the absolute value to perform difference calculation, calculate the absolute value again to get the line segment similarity value, sum up the similarity values ​​of each group of line segments and divide it by the number of markers to get the slope similarity value; The calculated trend similarity values ​​and slope similarity values ​​are marked as , according to the formula Calculate the electrical similarity evaluation index G of the hidden danger warning package and the current real-time current data; is the preset weight coefficient; A threshold index of the electrical similarity evaluation index G is set. If the electrical similarity evaluation index G of a certain group of hidden danger warning packages in the extracted hidden danger warning packages and the current real-time current data is higher than the threshold index, an electrical alarm signal is issued through the secondary system; At the same time, the historical fault type, location and cause are extracted from the hidden danger warning package as the fault type, location and cause of the current electrical alarm signal, and are input into a pre-built report template to output a fault report.

[0012] Specifically, the process of issuing an overheating alarm signal in advance through the secondary system based on the real-time matching result is as follows: Extract each group temperature warning package from the warning data package stored in the database, monitor the real-time temperature changes of each component of the ring network box, and analyze the temperature performance value and temperature status graph corresponding to the real-time temperature data of each component; Extract the temperature performance values ​​of different components in each group of temperature warning packages, and calculate the difference between them and the temperature performance values ​​corresponding to different components in the real-time temperature data. Take the absolute value and add them together to obtain the temperature evaluation similarity value of each group of temperature warning packages; The similar passing value corresponding to the preset temperature evaluation similarity value is set. If the temperature evaluation similarity values ​​of each group of temperature warning packages are all greater than the similar passing value, no overheating alarm signal will be issued through the secondary system; If the data evaluation value of a certain group of temperature warning packages is less than the similar passing value, the temperature warning package with the value less than the evaluation passing value is extracted as the heat warning package; Extract the temperature status graph from the thermal warning package as a comparison graph, and use the temperature status graph corresponding to the real-time temperature data as a real-time graph; After aligning the origins of the comparison graph and the real-time graph, the overlapping area of ​​the two groups of graphs is identified as the area similarity value; the distance between the scale data points of the two groups of graphs on the same ray is calculated, and the distances of the scale data points of each group are accumulated after the calculation is completed to obtain the point similarity value between the two groups of graphs; The calculated area similarity values ​​and point similarity values ​​are marked as , according to the formula Calculate the temperature similarity evaluation index P of the thermal similarity warning package and the current real-time temperature data; is the preset weight coefficient; A threshold index of the temperature similarity evaluation index P is set. If the temperature similarity evaluation index P of a certain set of thermal similarity warning packages in the extracted thermal similarity warning packages and the current real-time temperature data is higher than the threshold index, an overheating alarm signal is issued through the secondary system; At the same time, the historical fault type, location and cause are extracted from the thermal warning package as the fault type, location and cause of the current overheating alarm signal, and are input into a pre-built report template to output a fault report.

[0013] Specifically, the process of issuing an insulation alarm signal in advance through the secondary system based on the real-time matching result is as follows: Extract each group of insulation warning packages from the warning data package stored in the database, monitor the real-time insulation resistance change data of the ring network box, and analyze the resistance ratio and rate ratio, which are recorded as ; Extract the resistance ratio and rate ratio from each group of insulation warning packages, and record them as According to the formula Calculate the resistance similarity index H between the current real-time insulation resistance change data and each group of insulation warning packages; is the preset weight coefficient; Set the reference index of the resistance similarity index H. If the resistance similarity index H of each group of insulation warning packages is higher than the reference index, no insulation alarm signal will be issued through the secondary system. If the resistance similarity index H of a certain group of insulation warning packages is smaller than the reference index, an insulation alarm signal is issued through the secondary system; At the same time, the insulation warning package with the smallest resistance similarity index H is extracted from the insulation warning packages with a resistance similarity index smaller than the reference index as the matching warning package. The historical fault type, location and cause are extracted from the matching warning package as the fault type, location and cause of the current insulation alarm signal, and are input into a pre-built report template to output a fault report.

[0014] A complete set of primary and secondary integrated ring network box fault diagnosis system, including: Data collection module: For each triggered alarm signal, after identifying the specific alarm signal, it retroactively extracts the physical state quantity of the primary equipment within the set time window before the corresponding alarm signal occurs; after analysis and processing, it constructs the warning data packet corresponding to the alarm signal; the warning data packet includes the electrical warning package, the temperature warning package, and the insulation warning package; the alarm signals include the electrical alarm, the overheating alarm, and the insulation alarm; the physical state quantity of the primary equipment corresponding to the electrical alarm includes the current; the physical state quantity of the primary equipment corresponding to the overheating alarm includes the temperature of each component in the ring network box; the physical state quantity of the primary equipment corresponding to the insulation alarm includes the insulation resistance; Early warning analysis module: monitors the changes in the physical state of primary equipment in real time, matches them with the early warning data packets stored in the database, and issues an alarm signal in advance through the secondary system based on the real-time matching results; Report compilation module: Based on the emitted signals, it integrates the alarm signals, fault types, locations and causes, and outputs fault reports.

[0015] Technical effects and advantages of the present invention: (1) By constructing electrical warning packages, temperature warning packages, and insulation warning packages, the changing patterns of physical state quantities before different alarms occur are recorded, including current change trends, component temperature trends, and insulation resistance change trends. When the real-time monitoring data matches the warning package, an early warning can be triggered before the parameter reaches the alarm threshold, buying time for operation and maintenance personnel to intervene and avoiding the expansion of the fault, thus solving the lag problem of traditional post-alarms. (2) Electrical fault diagnosis combines the performance ratio, peak ratio, valley ratio and the trend and slope similarity of the current change line, and makes judgments from the dual dimensions of numerical level and dynamic change. Overheating fault diagnosis uses temperature performance value and polar coordinate temperature state graph to take into account the temperature of single component and the coordinated change characteristics of multiple components. Insulation fault diagnosis integrates resistance ratio and rate ratio to capture the slow deterioration trend of insulation performance. Multi-dimensional analysis avoids the limitations of traditional single parameter judgment and greatly reduces the false alarm and missed alarm rates. (3) The warning data packet is associated with the type, location and cause of historical faults. After real-time matching, a report containing fault information can be directly output without manually tracing historical data. This helps operation and maintenance personnel quickly locate the fault point and predict the cause, solving the inefficiency problem of disconnection between alarms and causes in traditional diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a fault diagnosis method for a primary and secondary fusion ring network box of the present invention; Figure 2 This is a schematic diagram of a fault diagnosis system for a primary and secondary integrated ring network box according to the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] Example 1

[0019] like Figure 1 As shown, a method for diagnosing faults of a primary and secondary integrated ring network box includes: Unified identification: When the secondary system issues an alarm signal, the physical state of the primary equipment corresponding to the alarm signal under the unified timestamp is matched. Based on the alarm signal, the corresponding physical state of the primary equipment and the timestamp, a three-dimensional identification is constructed. The alarm signals include electrical alarms, overheating alarms and insulation alarms. The physical state of the primary equipment corresponding to the electrical alarm includes current; the physical state of the primary equipment corresponding to the overheating alarm includes the temperature of each component in the ring network box; the physical state of the primary equipment corresponding to the insulation alarm includes insulation resistance. The components of the ring main box, including but not limited to the circuit breaker contacts and busbar joints, are specifically set up by the technicians; Pre-installed sensors collect physical state measurements of primary equipment, and data is cleansed by default. This includes removing sensor false alarms and abnormal jump values ​​caused by communication interference (such as a sudden increase in instantaneous current that far exceeds the physical limit). Missing data is supplemented (through interpolation of adjacent time values ​​or reference to data from similar equipment) to ensure data continuity and accuracy. Identification and retrospective organization: For each triggered alarm signal, after identifying the specific alarm signal, the physical state of the equipment within a set time window before the corresponding alarm signal occurred is retrospectively extracted. The time window is set, such as 10 minutes or 1 hour, according to the characteristics of the equipment and the nature of the data. After analysis and processing, an early warning data package corresponding to the alarm signal is constructed. The early warning data package includes an electrical warning package, a temperature warning package, and an insulation warning package. Specifically: S1: If the alarm signal is an electrical alarm, the current data within the set time window before the electrical alarm occurs is extracted as the time series data set of the electrical alarm; For the current data at each time point in the time series data set, the average value is calculated to obtain the current performance value before the electrical alarm occurs. At the same time, the highest and lowest values ​​of the current data at each time point are extracted as the current peak value and current valley value before the electrical alarm occurs. Calculate the ratios of the current performance value, current peak value, and current valley value to the preset current rated value, thereby obtaining the performance ratio, peak ratio, and valley ratio corresponding to the electrical alarm; Construct a rectangular coordinate system with the horizontal axis representing the set time window and the vertical axis representing the current magnitude. Plot the current data at each time point in the time series data set in the rectangular coordinate system. Connect adjacent points to obtain the current change line before the electrical alarm occurs. Integrate the performance ratio, peak ratio, valley ratio and current change curve to build an electrical warning package corresponding to the electrical alarm; As a supplementary note, the electrical warning package records the current variation patterns before an electrical alarm occurs, providing data support for subsequent warnings during equipment operation. When the real-time monitored current data matches the characteristics in the warning package, the secondary system can trigger a warning in advance before the parameter reaches the alarm threshold, giving operation and maintenance personnel ample time to intervene and investigate, preventing the fault from further expanding. S2: If the alarm signal is an overheat alarm, extract the temperature of each component of the ring network box within the set time window before the overheat alarm occurs as the temperature data set for the overheat alarm; For the temperature values ​​of different components at each time point in the temperature data set, the average value of the temperature of different components is calculated; The temperature performance values ​​of different components are obtained by calculating the ratio of the average temperature of different components to the corresponding set temperature thresholds; The number of components is recorded as X. With the origin of the polar coordinate plane as the center, extend X rays of a set length from the origin at equal angles based on the number of components X. For example, if there are five components (X=5), the angle between two adjacent rays is 360° / 5=72°. If there are six components (X=6), the angle is 60°, and so on. This ensures that the rays are evenly distributed around the circumference. Each of the X rays is assigned a unique identifier, corresponding one-to-one to each component in the ring main box. Each extension line is marked outward from the origin. For each component, a matching scale position is found on the corresponding ray based on the calculated temperature performance value and marked as a data point. For example, if the temperature performance value of the circuit breaker phase contact is 0.8, find the corresponding scale point on ray 1; if the temperature performance value of the busbar joint is 0.6, find the corresponding scale point on ray 2. After all the data points of different components are marked, the data points on adjacent rays are connected in sequence with line segments to form a closed polygon as the temperature status graph; Integrate the temperature performance values ​​and temperature status graphics of different components to build a temperature warning package corresponding to overheating alarms; In addition, the temperature warning package records the temperature changes of each component before the overheating alarm occurs, providing data support for subsequent warnings during equipment operation. When the real-time monitored temperature data matches the characteristics in the warning package, the secondary system can trigger an early warning before the parameter reaches the alarm threshold, giving operation and maintenance personnel ample time to intervene and prevent the fault from further escalating. S3: If the alarm signal is an insulation alarm, the insulation resistance within the set time window before the insulation alarm occurs is extracted as the insulation resistance data set; Calculate the average value of the insulation resistance at each time point in the insulation resistance data set to obtain a mean resistance value, and calculate the ratio of the mean resistance value to a preset insulation resistance threshold value to obtain a resistance ratio; Obtain the total insulation resistance drop value within the set time window and divide it by the set time window to obtain the average drop rate. Ratio the average drop rate to the preset safety drop rate threshold to obtain the rate ratio. Integrate resistance ratio and rate ratio to build an insulation warning package corresponding to insulation alarm; As a supplementary note, the insulation warning package records the insulation resistance variation pattern before the insulation alarm occurs, providing data support for subsequent warnings during equipment operation. When the real-time monitored insulation resistance data matches the characteristics in the warning package, the secondary system can trigger a warning in advance before the parameter reaches the alarm threshold, giving operation and maintenance personnel ample time to intervene and investigate, preventing the fault from further expanding. Database update: Collect the three-dimensional warning signs corresponding to different alarm signals, store them in a pre-built database according to timestamps and device associations, and then update them; Early warning condition determination: Real-time monitoring of changes in the physical state of primary equipment and matching with the early warning data packets stored in the database. Based on the real-time matching results, an alarm signal is issued in advance through the secondary system, and the alarm signal, fault type, location and cause are integrated to output a fault report. Specifically: M1: Extract each set of electric warning packets from the warning data packets stored in the database, monitor the real-time current changes of the ring network box, and analyze the corresponding performance ratio, peak ratio, valley ratio and current change curve of the real-time current data; Extract the performance ratio, peak ratio, and valley ratio from each set of electrical warning packages, and calculate the difference between them and the performance ratio, peak ratio, and valley ratio corresponding to the real-time current data. Take the absolute values ​​and add them together to obtain the data evaluation value of each set of electrical warning packages. The pass value corresponding to the preset data evaluation value is set. If the data evaluation values ​​of each group of electrical warning packages are greater than the pass value, no electrical alarm signal will be issued through the secondary system; If the data evaluation value of a certain group of electric warning packages is less than the passing value, the electric warning packages with a value less than the passing value are extracted as hidden danger warning packages; Extract the current change line from the hidden danger warning package as the warning line, use the current change line corresponding to the real-time current data as the real-time line, and perform slope analysis between the warning line and the real-time line; For each segment of the real-time broken line and the warning broken line, extract two sets of current values ​​for each segment, compare the two sets of current values, and subtract the current value on the right side of the segment from the current value on the left side of the segment. If the calculated result is a negative value, mark the segment as an ascending segment; if the calculated result is a positive value, mark it as a descending segment. Match the marking results of each component line segment of the real-time polyline with the marking results of each component line segment of the warning polyline. Count the number of successful matches as the number of markings. Calculate the proportion of the number of markings in the total number of component line segments to obtain the trend similarity value between the real-time polyline and the warning polyline. For the successfully matched line segments, obtain the line segment slope and take the absolute value to perform difference calculation, calculate the absolute value again to get the line segment similarity value, sum up the similarity values ​​of each group of line segments and divide it by the number of markers to get the slope similarity value; The calculated trend similarity values ​​and slope similarity values ​​are marked as , according to the formula Calculate the electrical similarity evaluation index G of the hidden danger warning package and the current real-time current data; is the preset weight coefficient; A threshold index of the electrical similarity evaluation index G is set. If the electrical similarity evaluation index G of a certain group of hidden danger warning packages in the extracted hidden danger warning packages and the current real-time current data is higher than the threshold index, an electrical alarm signal is issued through the secondary system; At the same time, the historical fault type, location and cause are extracted from the hidden danger warning package as the fault type, location and cause of the current electrical alarm signal, and input into the pre-built report template to output the fault report; To supplement, traditional fault diagnosis relies heavily on direct comparisons of real-time data with thresholds (e.g., an alarm is triggered when current exceeds a limit), which is considered a "post-facto alarm." However, by analyzing historical warning data packets (including current performance ratios, peak ratios, valley ratios, and changing trends) and combining them with similarity matching of real-time data, potential hazards can be identified before a fault actually occurs (before an electrical alarm is triggered), achieving "proactive warning." M2: Extract each group temperature warning package from the warning data package stored in the database, monitor the real-time temperature changes of each component of the ring network box, and analyze the temperature performance value and temperature status graph corresponding to the real-time temperature data of each component; Extract the temperature performance values ​​of different components in each group of temperature warning packages, and calculate the difference between them and the temperature performance values ​​corresponding to different components in the real-time temperature data. Take the absolute value and add them together to obtain the temperature evaluation similarity value of each group of temperature warning packages; The similar passing value corresponding to the preset temperature evaluation similarity value is set. If the temperature evaluation similarity values ​​of each group of temperature warning packages are all greater than the similar passing value, no overheating alarm signal will be issued through the secondary system; If the data evaluation value of a certain group of temperature warning packages is less than the similar passing value, the temperature warning package with the value less than the evaluation passing value is extracted as the heat warning package; Extract the temperature status graph from the thermal warning package as a comparison graph, and use the temperature status graph corresponding to the real-time temperature data as a real-time graph; After aligning the origins of the comparison graph and the real-time graph, the overlapping area of ​​the two groups of graphs is identified as the area similarity value; the distance between the scale data points of the two groups of graphs on the same ray is calculated, and the distances of the scale data points of each group are accumulated after the calculation is completed to obtain the point similarity value between the two groups of graphs; The calculated area similarity values ​​and point similarity values ​​are marked as , according to the formula Calculate the temperature similarity evaluation index P of the thermal similarity warning package and the current real-time temperature data; is the preset weight coefficient; A threshold index of the temperature similarity evaluation index P is set. If the temperature similarity evaluation index P of a certain set of thermal similarity warning packages in the extracted thermal similarity warning packages and the current real-time temperature data is higher than the threshold index, an overheating alarm signal is issued through the secondary system; At the same time, the historical fault type, location and cause are extracted from the thermal warning package as the fault type, location and cause of the current overheating alarm signal, and input into the pre-built report template to output the fault report; Supplementary explanation: Through the dual evaluation of "temperature performance value (numerical dimension) + temperature status graph (spatial distribution dimension)", the deviation degree of each component temperature from the rated value is quantified, and the relative distribution relationship of each component temperature is intuitively reflected through polar coordinate polygon graphs. This realizes the multi-dimensional analysis from "single numerical value" to "numerical value + spatial distribution", which better fits the temperature status characteristics of multiple components working together in the ring network box and realizes "advanced warning"; M3: Extract each group of insulation warning packets from the warning data packets stored in the database, monitor the real-time insulation resistance change data of the ring network box, and analyze the resistance ratio and rate ratio, which are recorded as ; Extract the resistance ratio and rate ratio from each group of insulation warning packages, and record them as According to the formula Calculate the resistance similarity index H between the current real-time insulation resistance change data and each group of insulation warning packages; is the preset weight coefficient; Set the reference index of the resistance similarity index H. If the resistance similarity index H of each group of insulation warning packages is higher than the reference index, no insulation alarm signal will be issued through the secondary system. If the resistance similarity index H of a certain group of insulation warning packages is smaller than the reference index, an insulation alarm signal is issued through the secondary system; At the same time, the insulation warning package with the smallest resistance similarity index H is extracted from the insulation warning packages with a resistance similarity index smaller than the reference index as the matching warning package. The historical fault type, location and cause are extracted from the matching warning package as the fault type, location and cause of the current insulation alarm signal, and are input into a pre-built report template to output a fault report. As a supplement, by combining the data from each historical insulation alarm and conducting a comprehensive analysis with the real-time data, the resistance similarity index can accurately identify the high similarity between the two, and predict faults before the insulation resistance reaches the threshold.

[0020] Example 2

[0021] See also Figure 2 As shown, based on the fault diagnosis method for a primary and secondary integrated ring network box provided in Example 1 of this application, Example 2 of this application proposes a fault diagnosis system for a primary and secondary integrated ring network box. Example 2 is merely a preferred embodiment of Example 1, and the implementation of Example 2 will not affect the independent implementation of Example 1.

[0022] Specifically, the difference of the primary and secondary integrated ring network box fault diagnosis system provided in Example 2 of the present application is that it includes: Data collection module: For each triggered alarm signal, after identifying the specific alarm signal, it retroactively extracts the physical state quantity of the primary equipment within the set time window before the corresponding alarm signal occurs; after analysis and processing, it constructs the warning data packet corresponding to the alarm signal; the warning data packet includes the electrical warning package, the temperature warning package, and the insulation warning package; the alarm signals include the electrical alarm, the overheating alarm, and the insulation alarm; the physical state quantity of the primary equipment corresponding to the electrical alarm includes the current; the physical state quantity of the primary equipment corresponding to the overheating alarm includes the temperature of each component in the ring network box; the physical state quantity of the primary equipment corresponding to the insulation alarm includes the insulation resistance; Early warning analysis module: monitors the changes in the physical state of primary equipment in real time, matches them with the early warning data packets stored in the database, and issues an alarm signal in advance through the secondary system based on the real-time matching results; Reporting module: Based on the signals sent, it integrates the alarm signal, fault type, location and cause, and outputs the fault report; The above formulas are all dimensionless and calculated numerically. Specific dimension removal can be achieved by various means such as standardization, which will not be elaborated here. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0023] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in the embodiments of this application are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, ATA hard drives, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state ATA hard drive.

[0024] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0025] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0026] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0027] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0028] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0029] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile ATA hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program code.

[0030] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for diagnosing faults of a primary and secondary fusion ring network box, characterized in that: include: Identification and retrospective organization: For each triggered alarm signal, after identifying the specific alarm signal, retrospectively extract the physical state quantity of the equipment within the set time window before the corresponding alarm signal occurs, analyze and process it, and construct the early warning data packet corresponding to the alarm signal; The early warning data package includes electrical early warning package, temperature early warning package and insulation early warning package; Early warning condition determination: Real-time monitoring of changes in the physical state of primary equipment, and real-time matching with the early warning data packets stored in the database. Based on the results of real-time matching, an alarm signal is issued in advance through the secondary system, and the alarm signal, fault type, location and cause are integrated to output a fault report.

2. A method for diagnosing faults of a primary and secondary fusion ring network box according to claim 1, characterized in that: The alarm signal and physical state quantity of the primary equipment include: The alarm signals include electrical alarm, overheating alarm and insulation alarm; the physical state quantity of the primary equipment corresponding to the electrical alarm includes current; the physical state quantity of the primary equipment corresponding to the overheating alarm includes the temperature of each component in the ring network box; the physical state quantity of the primary equipment corresponding to the insulation alarm includes insulation resistance.

3. The method for diagnosing faults of a primary and secondary fusion ring network box according to claim 1 is characterized in that: The specific process of constructing the electric early warning package is as follows: If the alarm signal is an electrical alarm, the current data within the set time window before the electrical alarm occurs is extracted as the time series data set of the electrical alarm; For the current data at each time point in the time series data set, the average value is calculated to obtain the current performance value before the electrical alarm occurs. At the same time, the highest and lowest values ​​of the current data at each time point are extracted as the current peak value and current valley value before the electrical alarm occurs. Calculate the ratios of the current performance value, current peak value, and current valley value to the preset current rated value, thereby obtaining the performance ratio, peak ratio, and valley ratio corresponding to the electrical alarm; Construct a plane rectangular coordinate system, plot the numerical points corresponding to the current data at each time point in the time series data set in the plane rectangular coordinate system, connect adjacent numerical points, and obtain the current change line before the electrical alarm occurs; Integrate the performance ratio, peak ratio, valley ratio and current change curve to build an electrical warning package corresponding to the electrical alarm.

4. The method for diagnosing faults of a primary and secondary fusion ring network box according to claim 1 is characterized in that: The specific process of building the temperature warning package is as follows: If the alarm signal is an overheat alarm, the temperature of each component of the ring network box within the set time window before the overheat alarm occurs is extracted as the temperature data set for the overheat alarm; For the temperature values ​​of different components at each time point in the temperature data set, the average value of the temperature of different components is calculated; The temperature performance values ​​of different components are obtained by calculating the ratio of the average temperature of different components to the corresponding set temperature thresholds; The number of components is recorded as X. With the origin of the polar coordinate plane as the center, X rays of set lengths are extended from the origin at equal angles according to the number of components X. Each of the X rays is given a unique identifier, and corresponds one-to-one with each component in the ring network box. Scale marks are marked on each extension line from the origin outward. For each component, the matching scale position is found on the corresponding ray based on the calculated temperature performance value and marked as a data point. After the data points of different components are marked, the data points on adjacent rays are connected in sequence with line segments to form a closed polygon as the temperature status graph. The temperature performance values ​​and temperature status graphs of different components are integrated to construct a temperature warning package corresponding to the overheating alarm.

5. The method for diagnosing faults of a primary and secondary fusion ring network box according to claim 1 is characterized in that: The specific process of constructing the insulation early warning package is as follows: If the alarm signal is an insulation alarm, the insulation resistance within the set time window before the insulation alarm occurs is extracted as the insulation resistance data set; Calculate the average value of the insulation resistance at each time point in the insulation resistance data set to obtain a mean resistance value, and calculate the ratio of the mean resistance value to a preset insulation resistance threshold value to obtain a resistance ratio; Obtain the total value of the insulation resistance drop within the set time window and divide it by the set time window to obtain the average drop rate. Ratio the average drop rate to the preset safety drop rate threshold to obtain the rate ratio. Integrate the resistance ratio and rate ratio to construct an insulation warning package corresponding to the insulation alarm.

6. The method for diagnosing faults of a primary and secondary fusion ring network box according to claim 1 is characterized in that: The process of issuing an electrical alarm signal in advance through the secondary system based on the real-time matching result is as follows: Extract each set of electric warning packets from the warning data packets stored in the database, monitor the real-time current changes of the ring network box, and analyze the corresponding performance ratio, peak ratio, valley ratio and current change curve of the real-time current data; Extract the performance ratio, peak ratio, and valley ratio from each set of electrical warning packages, and calculate the difference between them and the performance ratio, peak ratio, and valley ratio corresponding to the real-time current data. Take the absolute values ​​and add them together to obtain the data evaluation value of each set of electrical warning packages. The pass value corresponding to the preset data evaluation value is set. If the data evaluation values ​​of each group of electrical warning packages are greater than the pass value, no electrical alarm signal will be issued through the secondary system; If the data evaluation value of a certain group of electric warning packages is less than the passing value, the electric warning packages with a value less than the passing value are extracted as hidden danger warning packages; Extract the current change line from the hidden danger warning package as the warning line, use the current change line corresponding to the real-time current data as the real-time line, and perform slope analysis between the warning line and the real-time line; For each segment of the real-time broken line and the warning broken line, extract two sets of current values ​​for each segment, compare the two sets of current values, and subtract the current value on the right side of the segment from the current value on the left side of the segment. If the calculated result is a negative value, mark the segment as an ascending segment; if the calculated result is a positive value, mark it as a descending segment. Match the marking results of each component line segment of the real-time polyline with the marking results of each component line segment of the warning polyline. Count the number of successful matches as the number of markings. Calculate the proportion of the number of markings in the total number of component line segments to obtain the trend similarity value between the real-time polyline and the warning polyline. For the successfully matched line segments, obtain the line segment slope and take the absolute value to perform difference calculation, calculate the absolute value again to get the line segment similarity value, sum up the similarity values ​​of each group of line segments and divide it by the number of markers to get the slope similarity value; The calculated trend similarity values ​​and slope similarity values ​​are marked as , according to the formula Calculate the electrical similarity evaluation index G of the hidden danger warning package and the current real-time current data; is the preset weight coefficient; A threshold index of the electrical similarity evaluation index G is set. If the electrical similarity evaluation index G of a certain group of hidden danger warning packages in the extracted hidden danger warning packages and the current real-time current data is higher than the threshold index, an electrical alarm signal is issued through the secondary system; At the same time, the historical fault type, location and cause are extracted from the hidden danger warning package as the fault type, location and cause of the current electrical alarm signal, and are input into a pre-built report template to output a fault report.

7. A method for diagnosing faults of a primary and secondary fused ring network box according to claim 6, characterized in that: The process of issuing an overheating alarm signal in advance through the secondary system based on the real-time matching result is as follows: Extract each group temperature warning package from the warning data package stored in the database, monitor the real-time temperature changes of each component of the ring network box, and analyze the temperature performance value and temperature status graph corresponding to the real-time temperature data of each component; Extract the temperature performance values ​​of different components in each group of temperature warning packages, and calculate the difference between them and the temperature performance values ​​corresponding to different components in the real-time temperature data. Take the absolute value and add them together to obtain the temperature evaluation similarity value of each group of temperature warning packages; The similar passing value corresponding to the preset temperature evaluation similarity value is set. If the temperature evaluation similarity values ​​of each group of temperature warning packages are all greater than the similar passing value, no overheating alarm signal will be issued through the secondary system; If the data evaluation value of a certain group of temperature warning packages is less than the similar passing value, the temperature warning package with the value less than the evaluation passing value is extracted as the heat warning package; Extract the temperature status graph from the thermal warning package as a comparison graph, and use the temperature status graph corresponding to the real-time temperature data as a real-time graph; After aligning the origins of the comparison graph and the real-time graph, the overlapping area of ​​the two groups of graphs is identified as the area similarity value; the distance between the scale data points of the two groups of graphs on the same ray is calculated, and the distances of the scale data points of each group are accumulated after the calculation is completed to obtain the point similarity value between the two groups of graphs; The calculated area similarity values ​​and point similarity values ​​are marked as , according to the formula Calculate the temperature similarity evaluation index P of the thermal similarity warning package and the current real-time temperature data; is the preset weight coefficient; A threshold index of the temperature similarity evaluation index P is set. If the temperature similarity evaluation index P of a certain set of thermal similarity warning packages in the extracted thermal similarity warning packages and the current real-time temperature data is higher than the threshold index, an overheating alarm signal is issued through the secondary system; At the same time, the historical fault type, location and cause are extracted from the thermal warning package as the fault type, location and cause of the current overheating alarm signal, and are input into a pre-built report template to output a fault report.

8. A method for diagnosing faults of a primary and secondary fused ring network box according to claim 7, characterized in that: The process of sending the insulation alarm signal in advance through the secondary system based on the real-time matching result is as follows: Extract each group of insulation warning packages from the warning data package stored in the database, monitor the real-time insulation resistance change data of the ring network box, and analyze the resistance ratio and rate ratio, which are recorded as ; Extract the resistance ratio and rate ratio from each group of insulation warning packages, and record them as ; According to the formula Calculate the resistance similarity index H between the current real-time insulation resistance change data and each group of insulation warning packages; is the preset weight coefficient; Set the reference index of the resistance similarity index H. If the resistance similarity index H of each group of insulation warning packages is higher than the reference index, no insulation alarm signal will be issued through the secondary system. If the resistance similarity index H of a certain group of insulation warning packages is smaller than the reference index, an insulation alarm signal is issued through the secondary system; At the same time, the insulation warning package with the smallest resistance similarity index H is extracted from the insulation warning packages with a resistance similarity index smaller than the reference index as the matching warning package. The historical fault type, location and cause are extracted from the matching warning package as the fault type, location and cause of the current insulation alarm signal, and are input into a pre-built report template to output a fault report.

9. A primary and secondary integrated ring network box fault diagnosis system, characterized in that: include: Data collection module: For each triggered alarm signal, after identifying the specific alarm signal, it retroactively extracts the physical state quantity of the equipment within the set time window before the corresponding alarm signal occurs; after analyzing and processing, it constructs the early warning data packet corresponding to the alarm signal; The warning data package includes an electrical warning package, a temperature warning package, and an insulation warning package; the alarm signals include an electrical alarm, an overheating alarm, and an insulation alarm; the physical state quantity of the primary equipment corresponding to the electrical alarm includes the current; the physical state quantity of the primary equipment corresponding to the overheating alarm includes the temperature of each component in the ring network box; the physical state quantity of the primary equipment corresponding to the insulation alarm includes the insulation resistance; Early warning analysis module: monitors the changes in the physical state of primary equipment in real time, matches them with the early warning data packets stored in the database, and issues an alarm signal in advance through the secondary system based on the real-time matching results; Report compilation module: Based on the emitted signals, it integrates the alarm signals, fault types, locations and causes, and outputs fault reports.

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