Node data intelligent reporting system and method in cable monitoring
By classifying and analyzing the parameters received from the cable monitoring system and generating reference results, the problems of excessive useless data and high power consumption are solved, and efficient data reporting and background monitoring are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU PANYU CABLE WORKS
- Filing Date
- 2023-06-28
- Publication Date
- 2026-05-22
AI Technical Summary
Existing cable monitoring systems upload a lot of useless data and consume a lot of power, which is not conducive to efficient monitoring and analysis in the background.
After receiving the reported parameters from multiple child nodes, the system classifies them to obtain multiple parameter sets, records reported parameters of the same type, analyzes the data information in each parameter set, generates reference results, and associates the reported data and reference results to report to the system backend.
The data reporting mechanism has been optimized, reducing the generation of redundant data, facilitating rapid backend analysis, and reducing power consumption.
Smart Images
Figure CN116684311B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of computer technology, and in particular to a system and method for intelligent reporting of node data in cable monitoring. Background Technology
[0002] With the increasing prevalence of smart cables, the real-time monitoring capabilities for cables are also gradually improving. Most smart cable monitoring systems monitor cable operation by acquiring data reported from various monitoring nodes in real time.
[0003] In existing cable monitoring systems, most systems use separate data reporting for each monitoring node, or a simple regional relay node reporting mechanism. This results in a lot of useless data being uploaded, high power consumption, and is not conducive to efficient monitoring and analysis in the background. Summary of the Invention
[0004] This invention provides an intelligent reporting system and method for node data in cable monitoring, which solves the problems of excessive uploading of useless data and high power consumption in the prior art, which are not conducive to efficient monitoring and analysis in the background. The optimized data reporting mechanism reduces the generation of a large amount of redundant data and facilitates rapid analysis by the background monitoring.
[0005] In a first aspect, embodiments of the present invention provide a method for intelligent reporting of node data in cable monitoring, including:
[0006] After receiving reported parameters from multiple child nodes, the reported parameters are classified to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type; the data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data; the reported data and the reference result are associated and reported to the system backend.
[0007] Optionally, before classifying and obtaining multiple parameter sets based on the reported parameters, the method further includes:
[0008] Determine whether any of the reported parameters meet the early warning conditions for reporting;
[0009] The reporting parameters that meet the aforementioned warning conditions will be reported to the system backend.
[0010] Optionally, the classification based on the reported parameters to obtain multiple parameter sets includes:
[0011] Determine the parameter type based on the type of the child node;
[0012] Reported parameters of the same type are assigned to a group to obtain multiple parameter sets.
[0013] Optionally, the step of analyzing the data information in each parameter set to obtain the reported data includes:
[0014] The difference information in each parameter set is compared to obtain the difference data;
[0015] The discrepancy data is determined as the reported data.
[0016] Optionally, the step of comparing the differences in the data information in each parameter set includes:
[0017] Calculate the mean of the data information values in the parameter set;
[0018] The difference is determined by comparing each data value in the parameter set with the mean.
[0019] Optionally, generating reference results based on the reported data includes:
[0020] Reference results are generated based on the proportion of the reported data in the corresponding parameter set and the correlation between them.
[0021] Optionally, generating reference results based on the proportion of the reported data in the corresponding parameter set and the correlation between them includes:
[0022] Calculate the proportion of the reported data in the corresponding parameter set, and determine the geographical location relationship between the child nodes corresponding to each reported data.
[0023] The first result is obtained by querying the proportion analysis result set based on the stated proportion ratio, and the second result is obtained by querying the location analysis result set based on the stated geographical location relationship.
[0024] The first result and the second result are combined to generate a reference result.
[0025] Secondly, embodiments of the present invention also provide an intelligent reporting system for node data in cable monitoring, comprising:
[0026] The reporting parameter classification module is used to receive the reporting parameters from multiple child nodes, classify the reported parameters to obtain multiple parameter sets, wherein each parameter set records the reporting parameters of the same type;
[0027] The data acquisition module is used to analyze the data information in each parameter set to obtain the data to be reported.
[0028] The reference result generation module is used to generate reference results based on the reported data;
[0029] The data result reporting module is used to associate the reported data and the reference results and report them to the system backend.
[0030] Thirdly, embodiments of the present invention also provide an intelligent reporting device for node data in cable monitoring, the device comprising:
[0031] One or more processors;
[0032] Storage device for storing one or more programs.
[0033] When the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent reporting method for node data in cable monitoring as described in the embodiments of the present invention.
[0034] 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 intelligent node data reporting method in cable monitoring described in embodiments of the present invention.
[0035] In this embodiment of the invention, after receiving reported parameters from multiple child nodes, the reported parameters are classified to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type; the data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data; the reported data and the reference result are associated and reported to the system backend. This solution classifies the received reported parameters from multiple child nodes to obtain multiple parameter sets, analyzes the data information in the parameter sets to obtain reported data, generates a reference result based on the reported data, and associates the reported data and the reference result with the system backend. This solves the problem in the prior art of uploading a large amount of useless data, resulting in high power consumption and hindering efficient monitoring and analysis in the backend. The optimized data reporting mechanism reduces the generation of a large amount of redundant data and facilitates rapid analysis by the backend monitoring. Attached Figure Description
[0036] Figure 1 A flowchart of a method for intelligent reporting of node data in cable monitoring provided in an embodiment of the present invention;
[0037] Figure 2 A flowchart of a method for obtaining a set of parameters of multiple types provided in an embodiment of the present invention;
[0038] Figure 3 A flowchart illustrating the method for determining and reporting data provided in this embodiment of the invention;
[0039] Figure 4 A flowchart of a method for generating reference results based on reported data provided in an embodiment of the present invention;
[0040] Figure 5A schematic diagram illustrating the recorded geographic location relationship of clustered distribution, provided as an example of the present invention;
[0041] Figure 6 A schematic diagram illustrating the relationship between recorded, dispersed geographical locations, as provided in this invention example;
[0042] Figure 7 A block diagram of the module structure of the intelligent reporting method for node data in cable monitoring provided in this embodiment of the invention;
[0043] Figure 8 This is a schematic diagram of the intelligent node data reporting device in cable monitoring provided in an embodiment of the present invention. Detailed Implementation
[0044] 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.
[0045] Figure 1 A flowchart of the intelligent node data reporting method in cable monitoring provided in this embodiment of the invention is shown below. Figure 1 As shown, it specifically includes:
[0046] Step S101: After receiving the reported parameters from multiple child nodes, classify the reported parameters to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type.
[0047] The reported parameters can be parameter data of corresponding types uploaded by different types of child nodes, including reported parameters such as temperature, humidity, and smoke. The parameter set can be a collection that records reported parameters of the same type. After collecting parameters, each child node reports the parameters to the system. After receiving reported parameters from multiple child nodes, the system classifies the received reported parameters by parameter type to obtain multiple parameter sets of different types. Each parameter set records reported parameters of the same type. In one instance, before classifying reported parameters into multiple sets of different types, the system also checks whether any of the received reported parameters meet the warning conditions. Reported parameters that meet the warning conditions are excluded from subsequent data analysis and are directly reported to the system backend. Before categorizing and reporting, faulty parameters are reported directly to avoid conflicts during subsequent reclassification and analysis, which could delay information reporting of faulty parameters. The system's preset warning condition is a reported parameter value greater than or equal to 90. If multiple child nodes report parameter values of 40, 30, 70, 25, 110, 10, 100, 60, 90, 60, 30, 10, and 70, and three of these (values 110, 100, and 90) meet the warning conditions, these three parameters are separated from the others and are directly reported to the system backend without participating in subsequent data analysis.
[0048] Step S102: Analyze the data information in each parameter set to obtain the reported data, and generate reference results based on the reported data.
[0049] The reported data can be data that has encountered an anomaly and needs to be reported; the reference result can be a judgment result reported to the system backend for reference. After classifying the reported parameters into multiple parameter sets, the system analyzes the data in each parameter set to obtain the reported data, and then generates the reference result based on the generated reported data. Optionally, the system compares the differences in the data information in each parameter set obtained from the classification, and identifies data information with a difference greater than or equal to a preset difference as the difference data. This difference data is then determined as the reported data, and the reference result is generated based on the reported data. In one example, two parameter sets were obtained after classification: a temperature parameter set and a humidity parameter set. The data information values in the temperature parameter set are 30, 50, 40, 60, 25, and 35, while the data information values in the humidity parameter set are 15, 20, 45, 40, 60, 10, and 20. The average value of the data information values in each parameter set was calculated. The average value of the data information values in the temperature parameter set was found to be 40, and the average value of the data information values in the humidity parameter set was found to be 30. The difference between the data information value and the corresponding average value was used as the variance index. The variance indices calculated for the temperature parameter set were 10, 10, 0, 20, 15, and 5, respectively, and the variance indices calculated for the humidity parameter set were 15. The temperature parameter set has a preset difference degree of 15, so the two reported parameters with data information values of 60 and 25 are determined as reported data. The humidity parameter set has a preset difference degree of 20, so the two reported parameters with data information values of 60 and 10 are determined as reported data. The difference between each data information value in the two parameter sets and the corresponding calculated mean is determined as the difference degree. Data information with a difference degree greater than or equal to the preset difference degree is used as difference data, and the resulting difference data is determined as reported data. Reference results are generated based on the proportion of reported data in the corresponding parameter sets and the correlation between them. This can reduce the uploading of useless data and speed up data analysis.
[0050] Step S103: Associate the reported data and the reference result and report them to the system backend.
[0051] The system analyzes data to obtain reported data and generates reference results based on this data. It then associates different types of reported data with their corresponding reference results, packages them, and submits them to the system's backend. In one example, the system analyzes temperature and humidity reported data, generates reference results for each, associates the temperature reported data with its corresponding reference result, packages them, and submits them to the system's backend. Similarly, it associates the humidity reported data with its corresponding reference result and packages them together before submitting them to the system's backend. This allows staff to more intuitively review the uploaded data.
[0052] As described above, after receiving reported parameters from multiple child nodes, the reported parameters are categorized to obtain multiple parameter sets, each containing reported parameters of the same type. The data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data. The reported data and the reference result are then associated and reported to the system backend. This solution categorizes the received reported parameters from multiple child nodes to obtain multiple parameter sets, analyzes the data information in the parameter sets to obtain reported data, generates reference results based on the reported data, and associates the reported data and reference results with the system backend. This solves the problems of excessive uploaded useless data, high power consumption, and hindering efficient backend monitoring and analysis in existing technologies. The optimized data reporting mechanism reduces the generation of a large amount of redundant data, facilitating rapid analysis by backend monitoring.
[0053] Figure 2 A flowchart of a method for obtaining parameter sets of multiple types provided in an embodiment of the present invention, such as... Figure 2 As shown, it specifically includes:
[0054] Step S201: After receiving the reported parameters from multiple child nodes, determine the parameter type according to the type of the child node, and assign the reported parameters of the same parameter type to a group to obtain multiple parameter sets, wherein each parameter set records the reported parameters of the same type.
[0055] Each monitoring sub-node reports the collected parameters to the system. After receiving the reported parameters from multiple sub-nodes, the system classifies the reported parameters according to the type of the sub-node corresponding to the reported parameters. Reported parameters of the same type are assigned to a group to obtain multiple parameter sets, that is, each parameter set records reported parameters of the same type. In one example, after receiving reported parameters from multiple child nodes, the system determines the parameter type based on the child node type. Parameters of the same type are grouped together to obtain multiple parameter sets, making subsequent data analysis more organized and efficient. The system received 100 reported parameters from temperature, humidity, and tension child nodes. The parameter types of these parameters were temperature, humidity, and tension. Parameter type analysis revealed 30 temperature parameters, 45 humidity parameters, and 25 tension parameters. The 30 temperature parameters were grouped into one set (temperature parameter set), the 45 humidity parameters into another set (humidity parameter set), and the 25 tension parameters into yet another set (tension parameter set).
[0056] Step S202: Compare the differences in the data information in each parameter set to obtain the difference data, determine the difference data as the reported data, and generate reference results based on the reported data.
[0057] Step S203: Associate the reported data and the reference result and report them to the system backend.
[0058] As described above, after receiving reported parameters from multiple child nodes, the reported parameters are categorized to obtain multiple parameter sets, each containing reported parameters of the same type. The data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data. The reported data and the reference result are then associated and reported to the system backend. This solution categorizes the received reported parameters from multiple child nodes to obtain multiple parameter sets, analyzes the data information in the parameter sets to obtain reported data, generates reference results based on the reported data, and associates the reported data and reference results with the system backend. This solves the problems of excessive uploaded useless data, high power consumption, and hindering efficient backend monitoring and analysis in existing technologies. The optimized data reporting mechanism reduces the generation of a large amount of redundant data, facilitating rapid analysis by backend monitoring.
[0059] Figure 3 A flowchart of the method for determining and reporting data provided in the embodiments of the present invention is shown below. Figure 3 As shown, it specifically includes:
[0060] Step S201: After receiving the reported parameters from multiple child nodes, classify the reported parameters to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type.
[0061] Step S202: Compare the differences in the data information in each parameter set to obtain the difference data, determine the difference data as the reported data, and generate reference results based on the reported data.
[0062] The process involves analyzing the data for each type of parameter set to determine the degree of difference for each data point. The difference is then compared across the data points in each parameter set, and data points meeting the difference criteria are identified as differential data. This differential data is used as the reported data, and reference results are generated based on the reported data. In one example, two parameter sets were obtained after classification: a temperature parameter set and a humidity parameter set. The temperature parameter set contains 10 reported temperature parameters, and the humidity parameter set contains 10 reported humidity parameters. The average value of the data points in each parameter set is calculated: the average value for the temperature parameter set is 40, and the average value for the humidity parameter set is 30. Substituting each data point value and its corresponding average value into the system's differential calculation formula yields differential values of 20%, 30%, 20%, 10%, 60%, 40%, 70%, 65%, 15%, and 80% for each data point value in the temperature parameter set, and 10% and 30% for each data point value in the humidity parameter set. The parameters are 70%, 20%, 55%, 20%, 60%, 75%, 25%, and 60%. The temperature data value corresponds to a preset difference threshold of 60%, and the humidity data value corresponds to a preset difference threshold of 50%. Data with a difference greater than or equal to the preset difference threshold is identified as differential data and is used as reported data. After comparison, there are 4 reported temperature data and 5 reported humidity data, and a reference result is generated based on the reported data. In another example, each data value in the parameter set is compared with a preset standard value, and the difference is analyzed and compared with a preset difference threshold. Data with a difference greater than the preset difference threshold is identified as differential data and is used as reported data.
[0063] Step S203: Associate the reported data and the reference result and report them to the system backend.
[0064] As described above, after receiving reported parameters from multiple child nodes, the reported parameters are categorized to obtain multiple parameter sets, each containing reported parameters of the same type. The data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data. The reported data and the reference result are then associated and reported to the system backend. This solution categorizes the received reported parameters from multiple child nodes to obtain multiple parameter sets, analyzes the data information in the parameter sets to obtain reported data, generates reference results based on the reported data, and associates the reported data and reference results with the system backend. This solves the problems of excessive uploaded useless data, high power consumption, and hindering efficient backend monitoring and analysis in existing technologies. The optimized data reporting mechanism reduces the generation of a large amount of redundant data, facilitating rapid analysis by backend monitoring.
[0065] Figure 4 A flowchart of a method for generating reference results based on reported data provided in an embodiment of the present invention is shown below. Figure 4 As shown, it specifically includes:
[0066] Step S301: After receiving the reported parameters from multiple child nodes, classify the reported parameters to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type.
[0067] Step S302: Analyze the data information in each parameter set to obtain the reported data, and generate reference results based on the proportion of the reported data in the corresponding parameter set and the correlation between them.
[0068] like Figure 5 As shown, Figure 5 This is a schematic diagram illustrating the recorded clustered geographical location relationship as an example of the present invention. 401 represents a child node corresponding to each indifferent reported parameter, 402 represents a child node corresponding to each reported data, and 403 represents a cable line; as shown... Figure 6 As shown, Figure 6 This is a schematic diagram of the recorded dispersed geographical location relationship provided as an example of the present invention. 501 is the sub-node corresponding to each undifferentiated reporting parameter, 502 is the sub-node corresponding to each reported data, and 503 is the cable line.
[0069] The correlation degree refers to the degree of correlation between reported data. After determining the reported data by comparing the differences in data information within each parameter set, the system calculates the proportion of the reported data in the corresponding parameter set. Based on this proportion and the correlation degree between the reported data, a reference result is generated. Optionally, the system calculates the proportion of the reported data in the corresponding parameter set, determines the geographical location relationship between the child nodes corresponding to each reported data based on the correlation degree between them, and then queries the proportion analysis result set to determine whether it is a single-point anomaly or a multi-point anomaly, using this result as the first result. Finally, it queries the location analysis result set to determine whether the child nodes corresponding to the reported data are clustered, dispersed, or single-point distributed, using this result as the second result. The first and second results are then combined to generate the final reference result. In one instance, the parameter set contains 50 parameters, and 5 data points are reported. The proportion of the reported data in the corresponding parameter set is calculated to be 10%. Based on the proportion analysis, this indicates a multi-point anomaly, which is taken as the first result. The system records the correlation between each child node. The higher the correlation, the closer the geographical location of the child nodes corresponding to the reported data. The distribution of geographical locations between the child nodes corresponding to the reported data is analyzed based on the correlation. The location analysis results are queried, and the distribution recorded in the closest location analysis result is taken as the second result. After querying, the second result is determined to be a clustered distribution. The first and second results are combined to generate a reference result. In another instance, the parameter set contains 20 parameters, and only 1 data point is detected being reported. The first result can be directly determined to be a single-point anomaly, and the second result can be directly determined to be a single-point distribution.
[0070] Step S303: Associate the reported data and the reference result and report them to the system backend.
[0071] As described above, after receiving reported parameters from multiple child nodes, the reported parameters are categorized to obtain multiple parameter sets, each containing reported parameters of the same type. The data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data. The reported data and the reference result are then associated and reported to the system backend. This solution categorizes the received reported parameters from multiple child nodes to obtain multiple parameter sets, analyzes the data information in the parameter sets to obtain reported data, generates reference results based on the reported data, and associates the reported data and reference results with the system backend. This solves the problems of excessive uploaded useless data, high power consumption, and hindering efficient backend monitoring and analysis in existing technologies. The optimized data reporting mechanism reduces the generation of a large amount of redundant data, facilitating rapid analysis by backend monitoring.
[0072] Figure 7 This is a block diagram of the module structure of the intelligent node data reporting method in cable monitoring provided in this embodiment of the invention. The intelligent cable is used to execute the intelligent node data reporting method in cable monitoring provided in the above embodiment, and has the corresponding functional modules and beneficial effects for executing the method. For example... Figure 7 As shown, the device specifically includes:
[0073] The reporting parameter classification module 101 is used to receive the reporting parameters from multiple child nodes, classify the reported parameters to obtain multiple parameter sets, wherein each parameter set records the reporting parameters of the same type.
[0074] The data acquisition module 102 is used to analyze the data information in each parameter set to obtain the data to be reported.
[0075] Reference result generation module 103 is used to generate reference results based on the reported data;
[0076] The data result reporting module 104 is used to associate the reported data and the reference result and report them to the system backend.
[0077] As described above, after receiving reported parameters from multiple child nodes, the reported parameters are categorized to obtain multiple parameter sets, each containing reported parameters of the same type. The data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data. The reported data and the reference result are then associated and reported to the system backend. This solution categorizes the received reported parameters from multiple child nodes to obtain multiple parameter sets, analyzes the data information in the parameter sets to obtain reported data, generates reference results based on the reported data, and associates the reported data and reference results with the system backend. This solves the problems of excessive uploaded useless data, high power consumption, and hindering efficient backend monitoring and analysis in existing technologies. The optimized data reporting mechanism reduces the generation of a large amount of redundant data, facilitating rapid analysis by backend monitoring.
[0078] In one possible embodiment, a warning condition determination module is further included, specifically for:
[0079] Before classifying the reported parameters to obtain multiple parameter sets, it is determined whether there are any reported parameters that meet the early warning conditions among the reported parameters;
[0080] The reporting parameters that meet the aforementioned warning conditions will be reported to the system backend.
[0081] In one possible embodiment, the reported parameter classification module 101 is specifically used for:
[0082] Determine the parameter type based on the type of the child node;
[0083] Reported parameters of the same type are assigned to a group to obtain multiple parameter sets.
[0084] In one possible embodiment, the data acquisition module 102 is specifically used for:
[0085] The difference information in each parameter set is compared to obtain the difference data;
[0086] The discrepancy data is determined as the reported data.
[0087] In one possible embodiment, the data reporting acquisition module 102 is further configured to:
[0088] Calculate the mean of the data information values in the parameter set;
[0089] The difference is determined by comparing each data value in the parameter set with the mean.
[0090] In one possible embodiment, the reference result generation module 103 is specifically used for:
[0091] Reference results are generated based on the proportion of the reported data in the corresponding parameter set and the correlation between them.
[0092] In one possible embodiment, the reference result generation module 103 is further configured to:
[0093] Calculate the proportion of the reported data in the corresponding parameter set, and determine the geographical location relationship between the child nodes corresponding to each reported data.
[0094] The first result is obtained by querying the proportion analysis result set based on the stated proportion ratio, and the second result is obtained by querying the location analysis result set based on the stated geographical location relationship.
[0095] The first result and the second result are combined to generate a reference result.
[0096] Figure 8 This is a schematic diagram of the intelligent node data reporting device in cable monitoring provided in an embodiment of the present invention, as shown below. Figure 8 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 8 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 8Taking 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 intelligent node data reporting method in cable monitoring 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 realizing the aforementioned intelligent node data reporting method in cable monitoring. 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.
[0097] This invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform a node data intelligent reporting method in cable monitoring, the method comprising:
[0098] After receiving reported parameters from multiple child nodes, the reported parameters are classified to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type; the data information in each parameter set is analyzed to obtain reported data, and a reference result is generated based on the reported data; the reported data and the reference result are associated and reported to the system backend.
[0099] It is worth noting that in the embodiments of the above-mentioned intelligent reporting method device for node data in cable monitoring, 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.
[0100] 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 method for intelligent reporting of node data in cable monitoring, applied to relay nodes, characterized in that: include: After receiving the reported parameters from multiple child nodes, the reported parameters are classified to obtain multiple parameter sets, wherein each parameter set records reported parameters of the same type. Calculate the mean value of the data information values in the parameter set, compare each data information value in the parameter set with the mean value to determine the degree of difference, obtain the difference data, determine the difference data as the reported data, and generate reference results based on the reported data; The reported data and the reference results are associated and reported to the system backend; The step of generating a reference result based on the reported data includes: calculating the proportion of the reported data in the corresponding parameter set; determining the geographical location relationship between the child nodes corresponding to each reported data according to the correlation between the child nodes corresponding to the reported data; querying the proportion analysis result set to determine whether it is a single-point anomaly or a multi-point anomaly, and taking this result as the first result; and querying the location analysis result set to determine whether the child nodes corresponding to the reported data are clustered, dispersed, or single-point distributed, and taking this result as the second result; and combining the first result and the second result to generate a reference result.
2. The intelligent reporting method for node data in cable monitoring according to claim 1, characterized in that, Before classifying the reported parameters to obtain multiple parameter sets, the method further includes: Determine whether any of the reported parameters meet the early warning conditions for reporting; The reporting parameters that meet the aforementioned warning conditions will be reported to the system backend.
3. The intelligent reporting method for node data in cable monitoring according to claim 1, characterized in that, The classification based on the reported parameters yields multiple parameter sets, including: Determine the parameter type based on the type of the child node; Reported parameters of the same type are assigned to a group to obtain multiple parameter sets.
4. A smart reporting system for node data in cable monitoring, applied to relay nodes, characterized in that: include: The reporting parameter classification module is used to receive the reporting parameters from multiple child nodes, classify the reported parameters to obtain multiple parameter sets, wherein each parameter set records the reporting parameters of the same type; The data acquisition module is used to calculate the mean value of the data information values in the parameter set, compare each data information value in the parameter set with the mean value to determine the degree of difference, obtain the difference data, and determine the difference data as the data to be reported. The reference result generation module is used to generate reference results based on the reported data. Specifically, the reference result generation module is used to: calculate the proportion of the reported data in the corresponding parameter set; determine the geographical location relationship between the child nodes corresponding to each reported data according to the correlation between the child nodes corresponding to the reported data; query the proportion analysis result set to determine whether it is a single-point anomaly or a multi-point anomaly, and take this result as the first result; and query the location analysis result set to determine whether the child nodes corresponding to the reported data are clustered, dispersed, or single-point distributed, and take this result as the second result; and combine the first result and the second result to generate a reference result. The data result reporting module is used to associate the reported data and the reference results and report them to the system backend.
5. A smart reporting device for node data in cable monitoring, 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 intelligent reporting method for node data in cable monitoring as described in any one of claims 1-3.
6. A storage medium storing computer-executable instructions, which, when executed by a computer processor, are used to perform the node data intelligent reporting method in cable monitoring as described in any one of claims 1-3.