Cable fault alarm system

Abstract

The embodiment of the application discloses a cable fault alarm system, which comprises an information acquisition module configured to acquire historical fault information of a cable, wherein the historical fault information comprises geographic position data, time series data and corresponding sensor data; acquire sensor monitoring data, determine a monitoring reporting node corresponding to the sensor monitoring data, wherein the sensor monitoring data comprises sensor monitoring values at different time points; match the monitoring reporting node with the geographic position data in the historical fault information to obtain time series data and sensor data corresponding to the geographic position data; analyze the sensor monitoring data based on the time series data and the sensor data, and generate fault alarm data based on the analysis result. According to the scheme, the cable fault can be predicted more accurately, the fault can be avoided, and the cable can be maintained in advance.

Description

Technical Field

[0001] This application relates to the field of cable monitoring technology, and in particular to a cable fault alarm system. Background Technology

[0002] With the widespread application of cables, their importance has become increasingly prominent. In order to ensure the stable operation of cables and to confirm faults as soon as they occur, monitoring systems are usually used to monitor the operation of cables.

[0003] In related technologies, for example, sensors are implanted inside the cable to collect the data reported by the sensors, and corresponding monitoring and alarms are triggered based on the specific data values ​​reported by the sensors. For instance, the cable temperature is monitored, and an alarm is triggered when the temperature exceeds a set threshold. However, most existing methods of cable monitoring and fault alarm notification are based on reporting after a fault is detected, lacking reasonable predictive capabilities. Summary of the Invention

[0004] This invention provides a cable fault alarm system that solves the problem of delayed reporting of cable operation faults in the prior art. It can more accurately predict cable faults, avoid faults, and perform cable maintenance in advance.

[0005] In a first aspect, embodiments of the present invention provide a cable fault alarm system, comprising:

[0006] The information acquisition module is configured to acquire historical fault information of the cable, including geographical location data, time series data and corresponding sensor data, as well as acquire sensor monitoring data.

[0007] The node determination module is configured to determine the monitoring and reporting node corresponding to the sensor monitoring data, wherein the sensor monitoring data includes sensor monitoring values ​​at different time points;

[0008] The matching module is configured to match the monitoring and reporting node with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data;

[0009] The analysis module is configured to analyze the sensor monitoring data based on the time series data and the sensor data, and generate fault alarm data based on the analysis results.

[0010] Optionally, the matching module is used for:

[0011] Based on the geographical location of the monitoring and reporting node, geographical location data with the same location or that meet the preset similarity are determined from the historical fault information.

[0012] Optionally, the analysis module is used for:

[0013] The time series data is divided into multiple sub-time series groups based on a preset time period length;

[0014] In each sub-time series group, the peak value and mean value of the corresponding sensor data are determined, and the sensor monitoring data are analyzed based on the peak value and the mean value.

[0015] Optionally, the analysis module is used for:

[0016] In the sensor monitoring data, if in the same sub-time series group, the mean value to be monitored and the mean value of the corresponding sensor monitoring data meet the set mean difference, and multiple values ​​to be detected continuously meet the preset peak value difference with the peak value, then a fault alarm is triggered.

[0017] Secondly, embodiments of the present invention also provide a cable fault alarm method, including:

[0018] Acquire historical fault information of the cable, including geographical location data, time series data, and corresponding sensor data;

[0019] Acquire sensor monitoring data, determine the monitoring and reporting node corresponding to the sensor monitoring data, and the sensor monitoring data includes sensor monitoring values ​​at different time points;

[0020] The geographical location data of the monitoring and reporting node is matched with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data;

[0021] The sensor monitoring data is analyzed based on the time series data and the sensor data, and fault alarm data is generated based on the analysis results.

[0022] Optionally, matching the monitoring and reporting node with the geographical location data in the historical fault information includes:

[0023] Based on the geographical location of the monitoring and reporting node, geographical location data with the same location or that meet the preset similarity are determined from the historical fault information.

[0024] Optionally, the analysis of the sensor monitoring data based on the time series data and the sensor data includes:

[0025] The time series data is divided into multiple sub-time series groups based on a preset time period length;

[0026] In each sub-time series group, the peak value and mean value of the corresponding sensor data are determined, and the sensor monitoring data are analyzed based on the peak value and the mean value.

[0027] Optionally, the analysis of the sensor monitoring data based on the peak value and the mean value includes:

[0028] In the sensor monitoring data, if, within the same sub-time series group, the mean value to be monitored and the mean value satisfy a set mean difference, and multiple consecutive values ​​to be detected satisfy a preset peak value difference with the peak value, then a fault alarm is triggered.

[0029] Thirdly, embodiments of the present invention also provide a cable fault alarm device, the device comprising:

[0030] One or more processors;

[0031] Storage device for storing one or more programs.

[0032] When the one or more programs are executed by the one or more processors, the one or more processors implement the cable fault alarm method described in the embodiments of the present invention.

[0033] Fourthly, embodiments of the present invention also provide a storage medium for storing computer-executable instructions, which, when executed by a computer processor, are used to execute the cable fault alarm method described in the embodiments of the present invention.

[0034] In this embodiment of the invention, an information acquisition module is configured to acquire historical fault information of the cable, including geographical location data, time series data, and corresponding sensor data; acquire sensor monitoring data, determine the monitoring and reporting nodes corresponding to the sensor monitoring data, and the sensor monitoring data includes sensor monitoring values ​​at different time points; match the monitoring and reporting nodes with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data; analyze the sensor monitoring data based on the time series data and the sensor data, and generate fault alarm data based on the analysis results. This solution can more accurately predict cable faults, avoid faults, and enable early cable maintenance. Attached Figure Description

[0035] Figure 1 A flowchart of a cable fault alarm method provided in an embodiment of the present invention;

[0036] Figure 2 A flowchart of another cable fault alarm method provided in an embodiment of the present invention;

[0037] Figure 3 A module structure block diagram of a cable fault alarm system provided in an embodiment of the present invention;

[0038] Figure 4 This is a structural schematic diagram of a cable fault alarm device provided in an embodiment of the present invention. Detailed Implementation

[0039] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and not intended to limit the scope of the invention. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the embodiments of the present invention, and not all structures.

[0040] Figure 1 A flowchart of a cable fault alarm method provided in an embodiment of the present invention is shown below. Figure 1 As shown, it specifically includes:

[0041] Step S101: Obtain historical fault information of the cable, including geographical location data, time series data and corresponding sensor data.

[0042] In one embodiment, when triggering a cable fault alarm, historical fault information of the cable is first acquired. This historical fault information includes geographic location data, time series data, and corresponding sensor data. The geographic location data can be the implanted location of the sensor used for data detection, such as virtual coordinates or GPS latitude and longitude. The time series data can be a time interval or a point in time. The sensor data is data collected by the sensor, such as temperature data, pressure data, tensile data, smoke data, etc., which corresponds to the time series data, i.e., the sensor data collected during the time interval or at the point in time corresponding to the time series data.

[0043] Step S102: Obtain sensor monitoring data and determine the monitoring and reporting node corresponding to the sensor monitoring data. The sensor monitoring data includes sensor monitoring values ​​at different time points.

[0044] In one embodiment, when triggering a cable fault alarm, corresponding sensor monitoring data is acquired. This sensor monitoring data consists of data collected and reported by the sensors for monitoring and alarm triggering. Each sensor monitoring data corresponds to a specific monitoring and reporting node, thus identifying which particular monitoring and reporting node reported the data. Optionally, the corresponding monitoring and reporting node can be uniquely identified using a reporting node identifier within the sensor monitoring data.

[0045] In one embodiment, the sensor monitoring data includes not only specific monitoring values, but also time-related information. That is, the sensor monitoring data includes sensor monitoring values ​​at different time points, and a time point field can be set in the data to identify the time point when the sensor monitoring value was collected.

[0046] Step S103: Match the geographical location data of the monitoring and reporting node with the historical fault information to obtain time series data and sensor data corresponding to the geographical location data.

[0047] In one embodiment, for each monitoring and reporting node, corresponding location data is recorded. This data is then matched with geographical location data in historical fault information. Since the historical fault information includes geographical location data, time series data, and sensor data, when a matching geographical location is found, the corresponding time series data and sensor data from the historical fault information for that geographical location can be obtained. Optionally, this matching process can be precise matching or regional matching. Precise matching involves matching points with the same latitude and longitude, while regional matching involves matching the current monitoring and reporting node's location with a fault area pre-divided based on historical fault information.

[0048] Step S104: Analyze the sensor monitoring data based on the time series data and the sensor data, and generate fault alarm data based on the analysis results.

[0049] In one embodiment, when a fault alarm is triggered, for a specific monitoring and reporting node, the time-series data and sensor data in the aforementioned matching historical fault information are compared and analyzed to determine whether alarm data should be generated.

[0050] Optionally, taking a time series as an example, the analysis includes: dividing the time series data into multiple sub-time series groups based on a preset time period length; determining the peak and mean values ​​of the corresponding sensor data in each sub-time series group; and analyzing the sensor monitoring data based on the peak and mean values. Optionally, the preset time period length can be 30 minutes, and the time series can be 3 hours or 1 day, etc. When performing comparative analysis of fault alarms, the peak and mean values ​​of the corresponding sensor data collected in each of the multiple sub-time series groups are determined. For example, the sensor acquisition period can be 0.5 seconds or 1 second, or other settable values; the average value and peak value of the acquired values ​​in the corresponding group are calculated.

[0051] Optionally, the analysis of the sensor monitoring data based on the peak value and the mean value includes: in the sensor monitoring data, if in the same sub-time series group, the monitored mean value and the mean value of the corresponding sensor monitoring data meet a set mean difference, and multiple monitored values ​​continuously meet a preset peak value difference with the peak value, then a fault alarm is triggered. The same sub-time series group can be a grouping based on the same time of day. For example, assuming the time series from 6 PM to 9 PM is grouped into sub-time series groups every 30 minutes, the total span of 3 hours is divided into 6 sub-time series groups. Assuming the recorded date of the historical fault in the historical fault data is year a, month b, day c, and the monitored sensor data is year m, month n, day q, then during the analysis and comparison, assuming the current time is 8 PM on year m, month n, day q, the sensor monitoring data from 6 PM to 6:30 PM in the collected monitoring data is compared with the peak value and mean value of the sensor data determined from the same time period (6 PM to 6 PM) on year a, month b, day c. During the comparison process, if the average value of the data calculated between 6:00 PM and 6:30 PM meets the set average value difference with the previously calculated average value of the historical fault data, and similarly, the peak value meets the peak value difference, then a fault alarm will be triggered. Optionally, this average value difference and peak value difference can be 20% of the average value and peak value calculated from the historical fault data.

[0052] As described above, by acquiring historical fault information of the cable, including geographical location data, time series data, and corresponding sensor data; acquiring sensor monitoring data and determining the monitoring and reporting nodes corresponding to the sensor monitoring data, the sensor monitoring data including sensor monitoring values ​​at different time points; matching the monitoring and reporting nodes with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data; analyzing the sensor monitoring data based on the time series data and the sensor data, and generating fault alarm data based on the analysis results, this solution solves the problem of delayed reporting of cable operation faults in the prior art, enabling more accurate prediction of cable faults, avoiding faults, and allowing for early cable maintenance.

[0053] Figure 2 A flowchart of another cable fault alarm method provided in an embodiment of the present invention is shown below. Figure 2 As shown, it specifically includes:

[0054] Step S201: Obtain historical fault information of the cable, including geographical location data, time series data and corresponding sensor data.

[0055] Step S202: Obtain sensor monitoring data and determine the monitoring and reporting node corresponding to the sensor monitoring data. The sensor monitoring data includes sensor monitoring values ​​at different time points.

[0056] Step S203: Based on the geographical location of the monitoring and reporting node, determine the geographical location data of the same location or the location that meets the preset similarity in the historical fault information, and obtain the time series data and sensor data corresponding to the geographical location data.

[0057] In one embodiment, location matching further includes matching similar locations, that is, determining geographical location data that meets a preset similarity score as matching data. Optionally, similarity indicators may include regional attributes, such as city center, urban periphery, rural areas; type attributes, such as overhead cables, underground cables; and location attributes, such as residential area location, shopping mall location, office building location, etc. When determining similarity, assuming there are a total of 10 indicators, and 6 of them are similar, the similarity score is determined to be 60%. An exemplary preset similarity score could be 50%.

[0058] Step S204: Divide the time series data into multiple sub-time series groups based on a preset time period length. Determine the peak value and mean value of the corresponding sensor data in each sub-time series group. If the mean value to be monitored and the mean value of the corresponding sensor monitoring data in the same sub-time series group meet the set mean difference, and multiple values ​​to be detected continuously meet the preset peak value difference with the peak value, then a fault alarm is triggered.

[0059] As described above, by acquiring historical fault information of the cable, including geographical location data, time series data, and corresponding sensor data; acquiring sensor monitoring data and determining the monitoring and reporting nodes corresponding to the sensor monitoring data, the sensor monitoring data including sensor monitoring values ​​at different time points; matching the monitoring and reporting nodes with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data; analyzing the sensor monitoring data based on the time series data and the sensor data, and generating fault alarm data based on the analysis results, this solution solves the problem of delayed reporting of cable operation faults in the prior art, enabling more accurate prediction of cable faults, avoiding faults, and allowing for early cable maintenance.

[0060] Figure 3 This is a block diagram of a module structure for a cable fault alarm system provided in an embodiment of the present invention. The intelligent cable is used to execute the cable fault alarm method provided in the above embodiment, and possesses the corresponding functional modules and beneficial effects for executing the method. For example... Figure 3As shown, the device specifically includes: an information acquisition module 101, configured to acquire historical fault information of the cable, the historical fault information including geographical location data, time series data and corresponding sensor data, and to acquire sensor monitoring data;

[0061] The node determination module 102 is configured to determine the monitoring and reporting node corresponding to the sensor monitoring data, wherein the sensor monitoring data includes sensor monitoring values ​​at different time points.

[0062] Matching module 103 is configured to match the monitoring and reporting node with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data;

[0063] The analysis module 104 is configured to analyze the sensor monitoring data based on the time series data and the sensor data, and generate fault alarm data based on the analysis results.

[0064] As described above, the information acquisition module is configured to acquire historical cable fault information, including geographical location data, time-series data, and corresponding sensor data; acquire sensor monitoring data, determine the monitoring and reporting nodes corresponding to the sensor monitoring data, and the sensor monitoring data includes sensor monitoring values ​​at different time points; match the monitoring and reporting nodes with the geographical location data in the historical fault information to obtain time-series data and sensor data corresponding to the geographical location data; analyze the sensor monitoring data based on the time-series data and the sensor data, and generate fault alarm data based on the analysis results. This solution can more accurately predict cable faults, avoid faults, and allow for early cable maintenance.

[0065] In one possible embodiment, the matching module is configured to:

[0066] Based on the geographical location of the monitoring and reporting node, geographical location data with the same location or that meet the preset similarity are determined from the historical fault information.

[0067] In one possible embodiment, the analysis module is configured to:

[0068] The time series data is divided into multiple sub-time series groups based on a preset time period length;

[0069] In each sub-time series group, the peak value and mean value of the corresponding sensor data are determined, and the sensor monitoring data are analyzed based on the peak value and the mean value.

[0070] In one possible embodiment, the analysis module is configured to:

[0071] In the sensor monitoring data, if in the same sub-time series group, the mean value to be monitored and the mean value of the corresponding sensor monitoring data meet the set mean difference, and multiple values ​​to be detected continuously meet the preset peak value difference with the peak value, then a fault alarm is triggered.

[0072] Figure 4 This is a structural schematic diagram of a cable fault alarm device provided in an embodiment of the present invention, as shown below. Figure 4 As shown, the device includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of processors 201 in the device can be one or more. Figure 4 Taking a processor 201 as an example; the processor 201, memory 202, input device 203, and output device 204 in the device can be connected via a bus or other means. Figure 4 Taking a bus connection as an example, the memory 202, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the cable fault alarm method in this embodiment of the invention. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 202, thereby implementing the aforementioned cable fault alarm method. The input device 203 can be used to receive input digital or character information and generate key signal inputs related to user settings and function control of the device. The output device 204 may include a display screen or other display device.

[0073] This invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to execute a cable fault alarm method. The method includes: an information acquisition module configured to acquire historical fault information of the cable, the historical fault information including geographical location data, time series data, and corresponding sensor data, and to acquire sensor monitoring data;

[0074] The node determination module is configured to determine the monitoring and reporting node corresponding to the sensor monitoring data, wherein the sensor monitoring data includes sensor monitoring values ​​at different time points;

[0075] The matching module is configured to match the monitoring and reporting node with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data;

[0076] The analysis module is configured to analyze the sensor monitoring data based on the time series data and the sensor data, and generate fault alarm data based on the analysis results.

[0077] It is worth noting that in the embodiments of the above-mentioned cable fault alarm system device, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the protection scope of the embodiments of the present invention.

[0078] Note that the above are merely preferred embodiments and the technical principles applied in this invention. Those skilled in the art will understand that the embodiments of this invention are not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the protection scope of this invention. Therefore, although the embodiments of this invention have been described in detail above, the embodiments of this invention are not limited to the above embodiments. More other equivalent embodiments may be included without departing from the concept of the embodiments of this invention, and the scope of the embodiments of this invention is determined by the scope of the appended claims.

Claims

1. A cable fault alarm system, characterized in that, include: The information acquisition module is configured to acquire historical fault information of the cable, including geographical location data, time series data and corresponding sensor data, as well as acquire sensor monitoring data. The node determination module is configured to determine the monitoring and reporting node corresponding to the sensor monitoring data, wherein the sensor monitoring data includes sensor monitoring values ​​at different time points; The matching module is configured to match the monitoring and reporting node with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data; The analysis module is configured to divide the time series data into multiple sub-time series groups based on a preset time period length, determine the peak value and mean value of the corresponding sensor data in each sub-time series group, and generate fault alarm data based on the analysis results if the mean value to be monitored and the mean value of the corresponding sensor monitoring data in the same sub-time series group meet a set mean difference, and multiple values ​​to be monitored continuously meet a preset peak value difference with the peak value.

2. The cable fault alarm system according to claim 1, characterized in that, The matching module is used for: Based on the geographical location of the monitoring and reporting node, geographical location data with the same location or that meet the preset similarity are determined from the historical fault information.

3. A cable fault alarm method, characterized in that, include: Acquire historical fault information of the cable, including geographical location data, time series data, and corresponding sensor data; Acquire sensor monitoring data, determine the monitoring and reporting node corresponding to the sensor monitoring data, and the sensor monitoring data includes sensor monitoring values ​​at different time points; The geographical location data of the monitoring and reporting node is matched with the geographical location data in the historical fault information to obtain time series data and sensor data corresponding to the geographical location data; The time series data is divided into multiple sub-time series groups based on a preset time period length. In each sub-time series group, the peak value and mean value of the corresponding sensor data are determined. In the sensor monitoring data, if the mean value to be monitored and the mean value of the corresponding sensor monitoring data in the same sub-time series group meet the set mean difference, and multiple values ​​to be monitored continuously meet the preset peak value difference with the peak value, then a fault alarm is triggered, and fault alarm data is generated based on the analysis results.

4. The cable fault alarm method according to claim 3, characterized in that, The matching of the monitoring and reporting nodes with the geographical location data in the historical fault information includes: Based on the geographical location of the monitoring and reporting node, geographical location data with the same location or that meet the preset similarity are determined from the historical fault information.

5. A cable fault alarm device, the device comprising: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the cable fault alarm method as described in any one of claims 3-4.

6. A storage medium storing computer-executable instructions, which, when executed by a computer processor, are used to perform the cable fault alarm method as described in any one of claims 3-4.

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