Integrated distribution box operation state remote monitoring system
By setting up data acquisition, processing and analysis modules in the integrated distribution box, the operating status of each integrated module is monitored in real time, the problem of monitoring abnormal status of the integrated module is solved, and the comprehensive monitoring of the integrated distribution box and the rapid detection of potential faults is achieved, which improves the safety and reliability of the power system.
Patent Information
- Application Number
- CN202510610644.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-13
- Publication Date
- 2025-08-26
AI Technical Summary
It is difficult for the prior art to effectively monitor the abnormal state of the integrated module in the integrated distribution box and its possible chain reactions and safety hazards.
By setting up data acquisition, processing and analysis modules in the integrated distribution box, the operating data of each integrated module is monitored in real time, the operation status diagram is built, abnormalities are judged and transmitted to the remote monitoring center, and all-round monitoring and potential troubleshooting are achieved.
It realizes all-round monitoring of integrated modules, avoids monitoring blind spots, quickly identify the scope of abnormal impact, and improves the safety and reliability of the power system.
Smart Images
Figure CN120546263A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of distribution box monitoring, and in particular to an integrated distribution box operating status remote monitoring system. Background Art
[0002] Integrated distribution boxes are widely used in industrial, commercial, and residential applications. They are core equipment for power distribution and control, and their operating status is directly related to the safety and stability of the power system. The advancement of industrial automation and intelligentization has placed higher demands on the reliability and stability of power supply. Simultaneously, advances in sensor technology have enabled high-precision, high-reliability sensors to accurately collect distribution box operating parameters in real time. The development of communication technologies such as Ethernet, 4G, and 5G has ensured the remote transmission of data. Cloud computing and big data technologies enable the storage, analysis, and processing of large amounts of operational data, enabling real-time monitoring of distribution box operating status, prompt detection and resolution of faults, and improved power system safety and reliability. To this end, a remote monitoring system for the operating status of integrated distribution boxes is now available. Summary of the Invention
[0003] The purpose of the present invention is to provide an integrated remote monitoring system for the operating status of a distribution box.
[0004] The object of the present invention can be achieved by the following technical solution: an integrated distribution box operating status remote monitoring system, including a remote monitoring center, and further comprising: Data acquisition module, used to obtain the operating data of each integrated module in real time; A data processing module is used to summarize the obtained operating data of each integrated module and obtain an operating status diagram of the integrated module; The data analysis module is used to analyze the operating status of the integrated distribution box based on the obtained operating status diagrams of each integrated module, and determine whether there is any abnormality in the operating status of the integrated distribution box; The communication module is used to transmit the operating status analysis results and periodic summary data of the integrated distribution box to the remote monitoring center.
[0005] Furthermore, the integrated distribution box contains several integrated modules with different functions, and each integrated module is provided with a corresponding module code. A corresponding data acquisition module is provided for each integrated module, and the operating data of each integrated module is collected in real time through the data acquisition module. The operating data of each integrated module includes several data items, and each data item corresponds to a set of real-time operating parameters.
[0006] Furthermore, the data processing module aggregates the obtained operation data of each integrated module and obtains the operation status diagram of the integrated module in the following process: Traversing each data item in the operation data of each integrated module, and summarizing the real-time operation parameters of the same data item to obtain an operation parameter set associated with the corresponding data item; Construct a two-dimensional coordinate system of the data item in time, generate corresponding data change curves for the operation data of each integrated module, and map the data change curves into the two-dimensional coordinate system; The position corresponding to the initial moment of the data change curve is recorded as the initial node, and the parameter value of the initial node is obtained; Traverse the data change curve based on whether there is any change at the initial moment. If there is any change, record the corresponding position of the data change curve as a change node, and obtain the parameter value and time corresponding to the change node; Obtain the parameter difference between each changed node and the initial node; Then, the parameter change rate of the changed node based on the initial node is obtained; Select any data change curve as the baseline change curve, and then select any other data change curve as the reference change curve. Perform node alignment between the baseline change curve and the change nodes in the reference change curve. Based on the alignment results, determine whether the baseline change curve and the reference change curve are completely aligned. And obtain the correlation coefficient between the fully aligned reference change curve and the benchmark change curve, and then complete the construction of the corresponding data item operation status diagram, fit the operation status diagram corresponding to each data item of the integrated module, and obtain the operation status diagram of the integrated module.
[0007] Furthermore, the parameter change rate is the ratio of the parameter difference to the parameter value of the initial node.
[0008] Furthermore, after the operation status diagram of the integrated module is constructed, the operation status of the integrated distribution box is analyzed using the constructed operation status diagram. The process of determining whether the operation status of the integrated distribution box is abnormal includes: Set corresponding safe operation data range intervals based on each integrated module in the integrated distribution box; Generate a corresponding safe operation area in the corresponding operation state diagram according to the safe operation data range interval; Obtaining whether each data change curve in the operation status diagram is within the safe operation area. If it is within the safe operation area, it means that the data item corresponding to the data change curve of the integrated module is normal; If all data items are normal, it means that the operation status of the integrated module is normal; If any data item is abnormal, the time point when the abnormality occurs is marked and recorded as the monitoring start point; Set the monitoring time period based on the monitoring starting point, and the data change curve of the data item in the following monitoring time period; According to the data change curve within the monitoring period, the operation evaluation coefficient Yp corresponding to the data item is obtained; Set the evaluation threshold Y0; When Yp ≥ Y0, it means that the running status of the data item is abnormal; When Yp<Y0, it means that the running status of the data item is normal, and the marked monitoring start point is cancelled. If the running status of all data items is normal, the periodic summary data of the integrated module is generated; When any data item in the integrated module has an abnormal operating status, the integrated module operates abnormally. When any integrated module operates abnormally, it means that the operating status of the integrated distribution box is abnormal, and the time corresponding to the monitoring start point is recorded as the abnormal start time.
[0009] Furthermore, when it is determined that an integrated module is operating abnormally, all other integrated modules associated with the abnormal integrated module will be marked, and the marked integrated modules will be traversed to see if there are any abnormalities. If there are abnormalities, the other integrated modules associated with the abnormal integrated module will continue to be marked, and so on, until there is no abnormal integrated module among the other associated integrated modules. The integrated modules with abnormalities will be summarized to obtain a set of abnormal impact ranges; The integrated modules within the impact range set are sorted according to the corresponding abnormality start time to obtain the corresponding abnormality determination priority sequence list, and the abnormality determination priority sequence list is used as the operating status analysis result of the integrated distribution box.
[0010] Furthermore, the process of the communication module transmitting the operating status analysis results and periodic summary data of the integrated distribution box to the remote monitoring center includes: Based on the obtained operating status analysis results of the integrated distribution box, the operating data within the monitoring period corresponding to each integrated module within the abnormal impact range set is aggregated to obtain a data packet to be transmitted; Generate a transmission sequence code corresponding to the data packet to be transmitted based on the module code of each integrated module in the abnormality determination priority sequence table; Perform cyclic redundancy encryption on the obtained transmission sequence code to obtain the corresponding CRC check code; Inserting the obtained CRC check code into the data packet to be transmitted, and sending the obtained data packet to be transmitted and the operation status analysis result to the remote monitoring center; After receiving the data packet to be transmitted, the remote monitoring center verifies the operation status analysis result through the CRC check code. After the verification is passed, the operation data in the data packet to be transmitted is extracted according to the operation status analysis result, and the extracted operation data is matched with each integrated module in the operation status analysis result.
[0011] Compared with the prior art, the present invention has the following beneficial effects: By collecting the operating data of each integrated module in the integrated distribution box in real time, and determining whether changes in the collected operating data of each integrated module will affect the operating data of other integrated modules, the correlation between each integrated module is established. At the same time, each data item in each integrated module is analyzed separately to determine whether there is any abnormality in the operating status of the integrated module. When an abnormality occurs, the correlation between the integrated modules is used to quickly obtain the possible impact range of the abnormality, and the abnormal results are sent to the remote monitoring center, thereby achieving all-round monitoring of the integrated modules and avoiding monitoring blind spots of some integrated modules or data items. It can also conduct early inspections based on the possible impact range of the integrated modules to avoid potential fault hazards and safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.
[0013] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION
[0014] The solution described in the embodiments of the present invention is to solve the technical problem existing in the prior art of how to monitor the chain reaction that may be caused when an abnormality occurs in the integrated module in the integrated distribution box, thereby affecting the operation of other integrated modules and posing potential fault and safety hazards. The overall concept adopted is as follows: like Figure 1 As shown, an integrated distribution box operating status remote monitoring system includes a remote monitoring center and also includes: The data acquisition module provided in each integrated module in the integrated distribution box is used to obtain the operating data of each integrated module in real time; The data processing module connected to each data acquisition module is used to summarize the operation data of each integrated module and obtain the operation status diagram of the integrated module; The data analysis module connected to the data processing module is used to analyze the operating status of the integrated distribution box based on the obtained operating status diagrams of each integrated module, and determine whether there is any abnormality in the operating status of the integrated distribution box; The communication module connected to the remote monitoring center is used to transmit the operating status analysis results and periodic summary data of the integrated distribution box to the remote monitoring center.
[0015] In another embodiment of the present invention, the integrated distribution box contains a plurality of integrated modules with different functions, and each integrated module is provided with a corresponding module code. A fixed electrical connection relationship exists between the integrated modules. A corresponding data acquisition module is provided for each integrated module, and the operating data of each integrated module is collected in real time through the data acquisition module. The operating data of each integrated module includes a plurality of data items, each data item corresponding to a set of real-time operating parameters. It should be noted that the content of the data items included in the operating data collected by different integrated modules may be different, and the number may also be different. Example: Set up integrated module A and integrated module B; The collected operation data of the integrated module A includes data items a1, a2, and a3, and the real-time operation parameters corresponding to each data item are x1, x2, and x3; The collected operation data of the integrated module B includes data items b1, b2, b3, and b4, and the real-time operation parameters corresponding to each data item are y1, y2, y3, and y4.
[0016] In another embodiment of the present invention, the data processing module aggregates the obtained operation data of each integrated module and obtains the operation status diagram of the integrated module in the following specific process: Traversing each data item in the operation data of each integrated module, and summarizing the real-time operation parameters of the same data item to obtain an operation parameter set associated with the corresponding data item; Construct a two-dimensional coordinate system of the data item in time, generate corresponding data change curves for the operation data of each integrated module, and map the data change curves into the two-dimensional coordinate system; Each data change curve is labeled as i, where i=1, 2, ..., n; The position corresponding to the initial moment of the data change curve marked as i is marked as the initial node, and the parameter value of the initial node is recorded as Cs i ; The data change curve is traversed based on whether there is any change at the initial moment. If there is any change, the corresponding position of the data change curve will be marked as a change node. Label the change nodes on the data change curve with label i, and record them as j=1, 2, ..., m; Get the parameter value and time corresponding to the change node labeled j; Obtain the parameter difference between each changed node and the initial node; Then, the parameter change rate of the changed node based on the initial node is obtained, wherein the parameter change rate is the ratio of the parameter difference to the parameter value of the initial node; Select any data change curve as the baseline change curve, and then select any other data change curve as the reference change curve. Perform node alignment between the baseline change curve and the change nodes in the reference change curve. Based on the alignment results, determine whether the baseline change curve and the reference change curve are completely aligned. And obtain the correlation coefficient between the fully aligned reference change curve and the benchmark change curve, and then complete the construction of the corresponding data item operation status diagram, fit the operation status diagram corresponding to each data item of the integrated module, and obtain the operation status diagram of the integrated module; It should be noted that node alignment means that the change node with label j=1 in the benchmark change curve corresponds to the change node with label j=1 in the reference change curve, the change node with label j=2 in the benchmark change curve corresponds to the change node with label j=2 in the reference change curve, and so on; If the number of change nodes in the baseline change curve is the same as that in the reference change curve, it means that the baseline change curve and the reference change curve are completely aligned. If the number of change nodes is inconsistent, it means that they are not completely aligned. Example: Mark the fully aligned benchmark change curve and reference change curve; The parameter change rate of the change node of the benchmark change curve marked as j is recorded as Jz j ; The parameter change rate of the change node marked with j on the reference change curve is recorded as Cz j ; The time difference between the reference change curve and the change node marked with j is recorded as St j ; The correlation coefficient between the benchmark change curve and the reference change curve is denoted as Gx, where:
[0017] Among them, e is a natural constant; Set coefficient threshold range (g0, g1); If the obtained correlation coefficient Gx∈(g0, g1), it means that there is a correlation between the baseline change curve and the reference change curve, otherwise there is no correlation; Other data change curves that are associated with each data change curve in the two-dimensional coordinate system are bound to complete the operation status diagram of each integrated module.
[0018] In another embodiment of the present invention, after the operation status diagram of the integrated module is constructed, the operation status of the integrated distribution box is analyzed using the constructed operation status diagram to determine whether the operation status of the integrated distribution box is abnormal. The specific process includes: Set corresponding safe operation data range intervals based on each integrated module in the integrated distribution box; Generate a corresponding safe operation area in the corresponding operation state diagram according to the safe operation data range interval; Obtaining whether each data change curve in the operation status diagram is within the safe operation area. If it is within the safe operation area, it means that the data item corresponding to the data change curve of the integrated module is normal; If all data items are normal, it means that the operation status of the integrated module is normal; If any data item is abnormal, the time point when the abnormality occurs is marked and recorded as the monitoring start point; The monitoring time period is set based on the monitoring starting point. In the following monitoring time period, the data change curve of the data item is marked and recorded as ; According to the data change curve within the monitoring period, the operation evaluation coefficient corresponding to the data item is obtained, which is recorded as Yp, where:
[0019] Among them, t0 is the starting time of the monitoring period, and t1 is the ending time of the monitoring period. The part of the data change curve within the monitoring period that is not in the safe operation area; Set the evaluation threshold Y0; When Yp ≥ Y0, it means that the running status of the data item is abnormal; When Yp<Y0, it means that the running status of the data item is normal, and the marked monitoring start point is cancelled. If the running status of all data items is normal, the periodic summary data of the integrated module is generated; When any data item in the integrated module has an abnormal operating status, the integrated module operates abnormally. When any integrated module operates abnormally, it means that the operating status of the integrated distribution box is abnormal, and the time corresponding to the monitoring start point is recorded as the abnormal start time.
[0020] In another embodiment of the present invention, when it is determined that an integrated module is operating abnormally, all other integrated modules associated with the abnormal integrated module are marked, and the marked integrated modules are traversed to see if there are any abnormalities. If there are any abnormalities, the other integrated modules associated with the abnormal integrated module are marked, and so on, until no abnormal integrated module exists among the other associated integrated modules. The abnormal integrated modules are then summarized to obtain a set of abnormal impact ranges. The integrated modules within the impact range set are sorted according to the corresponding abnormality start time to obtain the corresponding abnormality determination priority sequence list, and the abnormality determination priority sequence list is used as the operating status analysis result of the integrated distribution box.
[0021] In another embodiment of the present invention, the process of the communication module transmitting the operating status analysis results and periodic summary data of the integrated distribution box to the remote monitoring center includes: Based on the obtained operating status analysis results of the integrated distribution box, the operating data within the monitoring period corresponding to each integrated module within the abnormal impact range set is aggregated to obtain a data packet to be transmitted; Generate a transmission sequence code corresponding to the data packet to be transmitted based on the module code of each integrated module in the abnormality determination priority sequence table; Perform cyclic redundancy encryption on the obtained transmission sequence code to obtain the corresponding CRC check code; Inserting the obtained CRC check code into the data packet to be transmitted, and sending the obtained data packet to be transmitted and the operation status analysis result to the remote monitoring center; After receiving the data packet to be transmitted, the remote monitoring center verifies the operation status analysis result through the CRC check code. After the verification passes, the remote monitoring center extracts the operation data in the data packet to be transmitted according to the operation status analysis result, and matches the extracted operation data with each integrated module in the operation status analysis result. It should be noted that, in the specific implementation process, if there is no abnormal integration module, the periodic summary data will be directly transmitted to the remote monitoring center.
[0022] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any modification or equivalent replacement of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.
Claims
1. An integrated distribution box operating status remote monitoring system, including a remote monitoring center, characterized in that: Also includes: Data acquisition module, used to obtain the operating data of each integrated module in real time; A data processing module is used to summarize the obtained operating data of each integrated module and obtain an operating status diagram of the integrated module; The data analysis module is used to analyze the operating status of the integrated distribution box based on the obtained operating status diagrams of each integrated module, and determine whether there is any abnormality in the operating status of the integrated distribution box; The communication module is used to transmit the operating status analysis results and periodic summary data of the integrated distribution box to the remote monitoring center.
2. The integrated distribution box operating status remote monitoring system according to claim 1 is characterized in that: The integrated distribution box contains several integrated modules with different functions, and each integrated module is provided with a corresponding module code. A corresponding data acquisition module is provided for each integrated module, and the operating data of each integrated module is collected in real time through the data acquisition module. The operating data of each integrated module includes several data items, and each data item corresponds to a set of real-time operating parameters.
3. The integrated distribution box operating status remote monitoring system according to claim 2 is characterized in that: The data processing module aggregates the obtained operation data of each integrated module and obtains the operation status diagram of the integrated module in the following process: Traversing each data item in the operation data of each integrated module, and summarizing the real-time operation parameters of the same data item to obtain an operation parameter set associated with the corresponding data item; Construct a two-dimensional coordinate system of the data item in time, generate corresponding data change curves for the operation data of each integrated module, and map the data change curves into the two-dimensional coordinate system; The position corresponding to the initial moment of the data change curve is recorded as the initial node, and the parameter value of the initial node is obtained; Traverse the data change curve based on whether there is any change at the initial moment. If there is any change, record the corresponding position of the data change curve as a change node, and obtain the parameter value and time corresponding to the change node; Obtain the parameter difference between each changed node and the initial node; Then, the parameter change rate of the changed node based on the initial node is obtained; Select any data change curve as the baseline change curve, and then select any other data change curve as the reference change curve. Perform node alignment between the baseline change curve and the change nodes in the reference change curve. Based on the alignment results, determine whether the baseline change curve and the reference change curve are completely aligned. And obtain the correlation coefficient between the fully aligned reference change curve and the benchmark change curve, and then complete the construction of the corresponding data item operation status diagram, fit the operation status diagram corresponding to each data item of the integrated module, and obtain the operation status diagram of the integrated module.
4. The integrated distribution box operation status remote monitoring system according to claim 3 is characterized in that: The parameter change rate is the ratio of the parameter difference to the parameter value of the initial node.
5. The integrated distribution box operation status remote monitoring system according to claim 3 is characterized in that: After the operation status diagram of the integrated module is constructed, the operation status of the integrated distribution box is analyzed using the constructed operation status diagram. The process of determining whether the operation status of the integrated distribution box is abnormal includes: Set corresponding safe operation data range intervals based on each integrated module in the integrated distribution box; Generate a corresponding safe operation area in the corresponding operation state diagram according to the safe operation data range interval; Obtaining whether each data change curve in the operation status diagram is within the safe operation area. If it is within the safe operation area, it means that the data item corresponding to the data change curve of the integrated module is normal; If all data items are normal, it means that the operation status of the integrated module is normal; If any data item is abnormal, the time point when the abnormality occurs is marked and recorded as the monitoring start point; Set the monitoring time period based on the monitoring starting point, and the data change curve of the data item in the following monitoring time period; According to the data change curve within the monitoring period, the operation evaluation coefficient Yp corresponding to the data item is obtained; Set the evaluation threshold Y0; When Yp ≥ Y0, it means that the running status of the data item is abnormal; When Yp<Y0, it means that the running status of the data item is normal, and the marked monitoring start point is cancelled. If the running status of all data items is normal, the periodic summary data of the integrated module is generated; When any data item in the integrated module has an abnormal operating status, the integrated module operates abnormally. When any integrated module operates abnormally, it means that the operating status of the integrated distribution box is abnormal, and the time corresponding to the monitoring start point is recorded as the abnormal start time.
6. The integrated distribution box operation status remote monitoring system according to claim 5, characterized in that: When it is determined that an integrated module is operating abnormally, all other integrated modules associated with the abnormal integrated module will be marked, and the marked integrated modules will be traversed to see if there are any abnormalities. If there are abnormalities, the other integrated modules associated with the abnormal integrated module will continue to be marked, and so on, until there are no abnormal integrated modules among the other associated integrated modules. The abnormal integrated modules will be summarized to obtain the abnormal impact range set; The integrated modules within the impact range set are sorted according to the corresponding abnormality start time to obtain the corresponding abnormality determination priority sequence list, and the abnormality determination priority sequence list is used as the operating status analysis result of the integrated distribution box.
7. The integrated distribution box operation status remote monitoring system according to claim 6 is characterized in that: The process of the communication module transmitting the operating status analysis results and periodic summary data of the integrated distribution box to the remote monitoring center includes: Based on the obtained operating status analysis results of the integrated distribution box, the operating data within the monitoring period corresponding to each integrated module within the abnormal impact range set is aggregated to obtain a data packet to be transmitted; Generate a transmission sequence code corresponding to the data packet to be transmitted based on the module code of each integrated module in the abnormality determination priority sequence table; Perform cyclic redundancy encryption on the obtained transmission sequence code to obtain the corresponding CRC check code; Inserting the obtained CRC check code into the data packet to be transmitted, and sending the obtained data packet to be transmitted and the operation status analysis result to the remote monitoring center; After receiving the data packet to be transmitted, the remote monitoring center verifies the operation status analysis result through the CRC check code. After the verification is passed, the operation data in the data packet to be transmitted is extracted according to the operation status analysis result, and the extracted operation data is matched with each integrated module in the operation status analysis result.