CN114697234B - Intelligent data reporting cable - Google Patents
Intelligent data reporting cable Download PDFInfo
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- CN114697234B CN114697234B CN202210431152.1A CN202210431152A CN114697234B CN 114697234 B CN114697234 B CN 114697234B CN 202210431152 A CN202210431152 A CN 202210431152A CN 114697234 B CN114697234 B CN 114697234B
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 120
- 238000007619 statistical method Methods 0.000 claims abstract description 50
- 230000005856 abnormality Effects 0.000 claims abstract description 8
- 238000007405 data analysis Methods 0.000 claims abstract description 8
- 230000008859 change Effects 0.000 claims description 61
- 238000000034 method Methods 0.000 claims description 24
- 238000004458 analytical method Methods 0.000 claims description 22
- 238000012544 monitoring process Methods 0.000 claims description 17
- 230000004044 response Effects 0.000 claims description 11
- 230000007246 mechanism Effects 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 3
- 239000000779 smoke Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 230000008707 rearrangement Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01B—CABLES; CONDUCTORS; INSULATORS; SELECTION OF MATERIALS FOR THEIR CONDUCTIVE, INSULATING OR DIELECTRIC PROPERTIES
- H01B7/00—Insulated conductors or cables characterised by their form
- H01B7/32—Insulated conductors or cables characterised by their form with arrangements for indicating defects, e.g. breaks or leaks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/06—Generation of reports
- H04L43/062—Generation of reports related to network traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
Abstract
The embodiment of the application discloses a cable for intelligently reporting data, which comprises the following components: the data receiving module is configured to receive node reporting data sent by each sub-processing node, wherein the node reporting data comprises node sensor data of different types; the data analysis module is configured to classify the node report data according to the node sensor data in the node report data, and performs statistical analysis on the node sensor data under each classification based on classification results; the abnormality judging module is configured to determine whether a plurality of abnormal child nodes exist according to the statistical analysis result; the data reporting module is configured to respond to the judging result of the plurality of abnormal child nodes, and generate abnormal reporting data, wherein the abnormal reporting data comprises the plurality of abnormal child nodes and the abnormal grade of each abnormal child node. According to the scheme, the problems of low efficiency and high cost when the cable reports the data in the prior art are solved, and a reporting mechanism of the cable data is optimized.
Description
Technical Field
The embodiment of the application relates to the technical field of cables, in particular to a cable capable of intelligently reporting data.
Background
Along with the development of the Internet of things and the intelligent equipment, the intelligent cable has higher and higher popularity, and replaces the original traditional cable in many scenes. The intelligent cable can collect corresponding data information through various sensors integrated or installed for analysis by the platform.
In the prior art, the existing monitoring mode relies on information data acquisition of a main control platform, and is a distributed equipment node mode, but each node does not have high-efficiency data processing capability, and for the node with high-efficiency processing function, the hardware cost is high, and the deployment complexity is high. How to reasonably and efficiently report the diversified collected data is a problem which needs to be solved currently.
Disclosure of Invention
The embodiment of the application provides a cable for intelligently reporting data, which solves the problems of low efficiency and high cost when the cable reports the data in the prior art and optimizes a reporting mechanism of the cable data.
In a first aspect, an embodiment of the present application provides a cable for intelligently reporting data, including:
the data receiving module is configured to receive node reporting data sent by each sub-processing node, wherein the node reporting data comprises node sensor data of different types;
the data analysis module is configured to classify the node report data according to the node sensor data in the node report data, and performs statistical analysis on the node sensor data under each classification based on classification results;
the abnormality judging module is configured to determine whether a plurality of abnormal child nodes exist according to the statistical analysis result;
the data reporting module is configured to respond to the judging result of the plurality of abnormal child nodes, and generate abnormal reporting data, wherein the abnormal reporting data comprises the plurality of abnormal child nodes and the abnormal grade of each abnormal child node.
Optionally, the data analysis module is configured to:
classifying the node report data according to the types of the node sensors in the node report data, and dividing the node sensor data with the same type into a group;
and aiming at the node sensor data of each group, carrying out statistical analysis according to the reporting positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relations of the sensor values corresponding to different reporting positions.
Optionally, the abnormality determination module is configured to:
the determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitude of the sensor values in the statistical analysis comprises the following steps:
when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist;
and when the change relation of the sensor values does not meet the preset change relation or the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist.
Optionally, the data reporting module is configured to:
when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area. .
In a second aspect, an embodiment of the present application further provides a cable monitoring method for intelligently reporting data, including:
receiving node report data sent by each sub-processing node, wherein the node report data comprises node sensor data of different types;
classifying the node report data according to the node sensor data in the node report data, and carrying out statistical analysis on the node sensor data under each classification based on a classification result;
determining whether a plurality of abnormal child nodes exist according to the result of the statistical analysis;
and generating exception report data in response to the judging result of the plurality of exception sub-nodes, wherein the exception report data comprises the plurality of exception sub-nodes and the exception grade of each exception sub-node.
Optionally, the classifying the node report data according to the node sensor data in the node report data, and performing statistical analysis on the node sensor data under each classification based on the classification result, including:
classifying the node report data according to the types of the node sensors in the node report data, and dividing the node sensor data with the same type into a group;
and aiming at the node sensor data of each group, carrying out statistical analysis according to the reporting positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relations of the sensor values corresponding to different reporting positions.
Optionally, the determining whether a plurality of abnormal child nodes exist according to the result of the statistical analysis includes:
the determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitude of the sensor values in the statistical analysis comprises the following steps:
when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist;
and when the change relation of the sensor values does not meet the preset change relation or the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist.
Optionally, the generating the exception report data in response to the judging result that the plurality of exception child nodes exist includes:
when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area.
In a third aspect, an embodiment of the present application further provides a cable device for intelligently reporting data, where the device includes:
one or more processors;
storage means for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the cable monitoring method for intelligently reporting data according to the embodiment of the application.
In a fourth aspect, the embodiment of the present application further provides a storage medium storing computer executable instructions, where the computer executable instructions when executed by a computer processor are used to perform the cable monitoring method for intelligently reporting data according to the embodiment of the present application.
In the embodiment of the application, a data receiving module is configured to receive node reporting data sent by each sub-processing node, wherein the node reporting data comprises node sensor data of different types; the data analysis module is configured to classify the node report data according to the node sensor data in the node report data, and performs statistical analysis on the node sensor data under each classification based on classification results; the abnormality judging module is configured to determine whether a plurality of abnormal child nodes exist according to the statistical analysis result; the data reporting module is configured to respond to the judging result of the plurality of abnormal child nodes, and generate abnormal reporting data, wherein the abnormal reporting data comprises the plurality of abnormal child nodes and the abnormal grade of each abnormal child node. According to the scheme, the problems of low efficiency and high cost when the cable reports the data in the prior art are solved, and a reporting mechanism of the cable data is optimized.
Drawings
Fig. 1 is a flowchart of a cable monitoring method for intelligently reporting data according to an embodiment of the present application;
FIG. 1a is a schematic diagram of an analysis result obtained by performing statistical analysis according to an embodiment of the present application;
FIG. 2 is a flowchart of another cable monitoring method for intelligently reporting data according to an embodiment of the present application;
fig. 3 is a block diagram of a module structure of a cable for intelligently reporting data according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a cable device for intelligently reporting data according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in further detail below with reference to the drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not limiting of embodiments of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the embodiments of the present application are shown in the drawings.
Fig. 1 is a flowchart of a cable monitoring method for intelligently reporting data, which is provided in an embodiment of the present application, and may be executed by a main processing node, and specifically includes the following steps:
step S101, receiving node report data sent by each sub-processing node, wherein the node report data comprises different types of node sensor data.
In one embodiment, the cabling integrates a plurality of sub-processing nodes, each sub-processing node being comprised of a plurality of sensors, which can collect different parameter data of the cabling, such as temperature, tension, humidity, smoke, etc. Each sub-processing node periodically reports data to the main processing node, wherein the main processing node may be an area including a plurality of sub-processing nodes in a certain area, and the set main processing node corresponds to 20 sub-processing nodes, for example, 1 main processing node. The node reporting data includes different types of node sensor data, such as temperature sensors, tension sensors, smoke sensors, and the like.
And step S102, classifying the node report data according to the node sensor data in the node report data, and carrying out statistical analysis on the node sensor data under each classification based on the classification result.
In one embodiment, after receiving the data reported by the node, the node performs corresponding data classification. Illustratively, if node 1 contains data a1, b1, and c1, node 2 contains data a2, b2, and c2, and node 3 contains data a3, b3, and c3, where a1, a2, and a3 are the same type of sensor data, e.g., temperature data, a1, a2, and a3 are grouped together, b1, b2, and b3 are grouped together, and c1, c2, and c3 are grouped together. I.e. the sensor data under each packet is of the same type.
In one embodiment, the classifying the node report data according to the node sensor data in the node report data, and performing statistical analysis on the node sensor data under each classification based on the classification result includes: classifying the node report data according to the types of the node sensors in the node report data, and dividing the node sensor data with the same type into a group; and aiming at the node sensor data of each group, carrying out statistical analysis according to the reporting positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relations of the sensor values corresponding to different reporting positions. Optionally, the process of performing statistical analysis is to perform statistical analysis on node sensor data of each group according to reported positions and sensor values in the node sensor data, taking data included in the group as a1, a2 and a3 as examples, and performing statistical analysis on positions of reported nodes corresponding to a1, a2 and a3 and specific values of a1, a2 and a3 respectively to obtain a change relationship of the sensor values corresponding to different reported positions. For example, as shown in fig. 1a, fig. 1a is a schematic diagram of an analysis result obtained by performing statistical analysis, where a distribution diagram of a change relationship is obtained by taking data of the same type of sensor including 20 nodes as an example.
And step S103, determining whether a plurality of abnormal child nodes exist according to the result of the statistical analysis.
After the result of the statistical analysis is obtained, whether a plurality of abnormal child nodes exist is determined based on the result of the statistical analysis. The abnormal child node represents an abnormal node, namely an abnormal cable line at a corresponding position.
Optionally, the determining whether a plurality of abnormal child nodes exist according to the result of the statistical analysis includes: the determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitude of the sensor values in the statistical analysis comprises the following steps: when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist; and when the change relation of the sensor values does not meet the preset change relation or the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist. In one embodiment, the preset change relation includes an incremental change relation of n consecutive data of adjacent position nodes, where n may be 3, 5 or 8, and is not limited in particular. When the preset change relation is met, the value of the existence sensor meets the preset reporting condition, and the preset reporting condition can be a set reporting threshold, namely, the reporting condition is met when the preset reporting threshold is met or exceeded. Taking data comprising a group of 20 nodes as an example, respectively denoted as data 1, data 2, data 3, data 20, assuming that data 5 to data 11 are sequentially adjacent nodes and the value of the corresponding sensor data is incremental, if the data 11 is greater than a set reporting threshold, then determining that a plurality of abnormal child nodes exist. In one embodiment, the specific value set by the reporting threshold in the preset reporting condition is smaller than the value of the corresponding sensor data when the actual fault occurs.
Step S104, generating exception report data in response to the judging result of the plurality of exception sub-nodes, wherein the exception report data comprises the plurality of exception sub-nodes and exception grades of each exception sub-node.
In one embodiment, after determining that a plurality of abnormal child nodes exist, abnormal report data is generated and reported. The exception reporting data includes a plurality of exception child nodes and an exception level for each exception child node. Wherein, according to the different abnormal sub-nodes of the specific sensor data value, each abnormal sub-node corresponds to different abnormal grades, and the higher the numerical value, the higher the abnormal grade corresponding to the node.
Optionally, the generating the exception report data in response to the judging result that the plurality of exception child nodes exist includes: when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area. In other words, when one or more nodes with sensor data values larger than the reporting threshold among a plurality of adjacent nodes meeting the preset relationship are determined to be abnormal child nodes, other adjacent nodes meeting the preset change relationship are determined to be abnormal child nodes at the same time for reporting.
According to the method, node report data sent by each sub-processing node is received, the node report data comprise node sensor data of different types, classification of the node report data is carried out according to the node sensor data in the node report data, statistical analysis is carried out on the node sensor data under each classification based on a classification result, whether a plurality of abnormal sub-nodes exist or not is determined according to a result of the statistical analysis, and abnormal report data are generated in response to a judgment result of the existence of the plurality of abnormal sub-nodes, wherein the abnormal report data comprise the plurality of abnormal sub-nodes and abnormal grades of each abnormal sub-node. The problem of among the prior art, the cable carries out the low efficiency of data reporting time, with high costs is solved, has optimized the reporting mechanism of cable data. Specifically, by classifying the node sensor data, fault prediction and discovery can be performed in a targeted manner. Meanwhile, the reporting mechanism adopts the condition which accords with the preset change relation and the preset reporting condition as the limit, so that the fault can be predicted more accurately in advance, and the reporting is performed after the sensors reach the alarm value.
Fig. 2 is a flowchart of another cable monitoring method for intelligently reporting data, which is provided in an embodiment of the present application, and as shown in fig. 2, a specific and complete example is given. The method specifically comprises the following steps:
step S201, receiving node report data sent by each sub-processing node, wherein the node report data comprises different types of node sensor data.
Step S202, classifying the node report data according to the types of the node sensors in the node report data, and dividing the node sensor data with the same type into a group.
Step 203, performing statistical analysis on the node sensor data of each group according to the reporting positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relations of the sensor values corresponding to different reporting positions.
Step S204, when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal sub-nodes exist, and when the change relation of the sensor values does not meet the preset change relation or the sensor values meet the preset reporting condition, determining that a plurality of abnormal sub-nodes do not exist.
Step S205, generating exception report data in response to the judging result of the plurality of exception sub-nodes, wherein the exception report data comprises the plurality of exception sub-nodes and exception grades of each exception sub-node.
According to the scheme, the node report data sent by each sub-processing node is received, the node report data comprise node sensor data of different types, the node report data are classified according to the node sensor data in the node report data, statistical analysis is carried out on the node sensor data under each classification based on a classification result, whether a plurality of abnormal sub-nodes exist or not is determined according to the result of the statistical analysis, the judgment result of the abnormal sub-nodes is responded, and the abnormal report data are generated, wherein the abnormal report data comprise the abnormal sub-nodes and the abnormal grade of each abnormal sub-node. The problem of among the prior art, the cable carries out the low efficiency of data reporting time, with high costs is solved, has optimized the reporting mechanism of cable data.
Fig. 3 is a block diagram of a module structure of a cable for intelligently reporting data, which is provided by the embodiment of the application, and is used for executing the cable monitoring method for intelligently reporting data, which is provided by the embodiment, and has the corresponding functional modules and beneficial effects of the execution method. As shown in fig. 3, the apparatus specifically includes: a data receiving module 101, a data analyzing module 102, an abnormality judging module 103 and a data reporting module 104, wherein,
the data receiving module 101 is configured to receive node report data sent by each sub-processing node, where the node report data includes node sensor data of different types;
the data analysis module 102 is configured to classify the node report data according to the node sensor data in the node report data, and perform statistical analysis on the node sensor data under each classification based on the classification result;
an anomaly determination module 103 configured to determine whether a plurality of anomaly child nodes exist according to a result of the statistical analysis;
the data reporting module 104 is configured to generate, in response to a determination result that a plurality of abnormal child nodes exist, abnormal report data, where the abnormal report data includes a plurality of abnormal child nodes and an abnormal level of each abnormal child node.
According to the scheme, the data receiving module is configured to receive node reporting data sent by each sub-processing node, wherein the node reporting data comprises node sensor data of different types; the data analysis module is configured to classify the node report data according to the node sensor data in the node report data, and performs statistical analysis on the node sensor data under each classification based on classification results; the abnormality judging module is configured to determine whether a plurality of abnormal child nodes exist according to the statistical analysis result; the data reporting module is configured to respond to the judging result of the plurality of abnormal child nodes, and generate abnormal reporting data, wherein the abnormal reporting data comprises the plurality of abnormal child nodes and the abnormal grade of each abnormal child node. According to the scheme, the problems of low efficiency and high cost when the cable reports the data in the prior art are solved, and a reporting mechanism of the cable data is optimized.
In one possible embodiment, the data analysis module is configured to:
classifying the node report data according to the types of the node sensors in the node report data, and dividing the node sensor data with the same type into a group;
and aiming at the node sensor data of each group, carrying out statistical analysis according to the reporting positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relations of the sensor values corresponding to different reporting positions.
In one possible embodiment, the abnormality determination module is configured to:
the determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitude of the sensor values in the statistical analysis comprises the following steps:
when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist;
and when the change relation of the sensor values does not meet the preset change relation or the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist.
In one possible embodiment, the data reporting module is configured to:
when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area.
Fig. 4 is a schematic structural diagram of a cable device for intelligently reporting data, which is provided in an embodiment of the present application, as shown in fig. 4, where 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 may be one or more, one processor 201 being taken as an example in fig. 4; the processor 201, memory 202, input devices 203, and output devices 204 in the apparatus may be connected by a bus or other means, for example in fig. 4. The memory 202 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to the cable monitoring method for intelligently reporting data in the embodiment of the present application. The processor 201 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 202, that is, implements the cable monitoring method for intelligently reporting data as described above. The input means 203 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.
The embodiment of the application also provides a storage medium containing computer executable instructions, which when executed by a computer processor, are used for executing a cable monitoring method for intelligently reporting data, and the method comprises the following steps:
receiving node report data sent by each sub-processing node, wherein the node report data comprises node sensor data of different types;
classifying the node report data according to the node sensor data in the node report data, and carrying out statistical analysis on the node sensor data under each classification based on a classification result;
determining whether a plurality of abnormal child nodes exist according to the result of the statistical analysis;
and generating exception report data in response to the judging result of the plurality of exception sub-nodes, wherein the exception report data comprises the plurality of exception sub-nodes and the exception grade of each exception sub-node.
Optionally, the classifying the node report data according to the node sensor data in the node report data, and performing statistical analysis on the node sensor data under each classification based on the classification result, including:
classifying the node report data according to the types of the node sensors in the node report data, and dividing the node sensor data with the same type into a group;
and aiming at the node sensor data of each group, carrying out statistical analysis according to the reporting positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relations of the sensor values corresponding to different reporting positions.
Optionally, the determining whether a plurality of abnormal child nodes exist according to the result of the statistical analysis includes:
the determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitude of the sensor values in the statistical analysis comprises the following steps:
when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist;
and when the change relation of the sensor values does not meet the preset change relation or the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist.
Optionally, the generating the exception report data in response to the judging result that the plurality of exception child nodes exist includes:
when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area.
It should be noted that, in the embodiment of the cable device for intelligently reporting data, each unit and module included are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present application.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present application are not limited to the particular embodiments described herein, but are capable of numerous obvious changes, rearrangements and substitutions without departing from the scope of the embodiments of the present application. Therefore, while the embodiments of the present application have been described in connection with the above embodiments, the embodiments of the present application are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the embodiments of the present application, and the scope of the embodiments of the present application is determined by the scope of the appended claims.
Claims (8)
1. The cable for intelligently reporting data is characterized by comprising a main processing node and a sub-processing node, wherein,
the data receiving module is configured to receive node reporting data sent by each sub-processing node, wherein the node reporting data comprises node sensor data of different types;
the data analysis module is configured to classify the node report data according to the node sensor data in the node report data, and performs statistical analysis on the node sensor data under each classification based on classification results; classifying node report data according to the types of the node sensor data in the node report data, dividing the node sensor data of the same type into a group, and carrying out statistical analysis on the node sensor data of each group according to the report positions and the sensor values in the node sensor data to obtain analysis results, wherein the analysis results comprise the change relation of the sensor values corresponding to different report positions;
the abnormality judging module is configured to determine whether a plurality of abnormal child nodes exist according to the analysis result;
the data reporting module is configured to respond to the judging result of the plurality of abnormal child nodes, and generate abnormal reporting data, wherein the abnormal reporting data comprises the plurality of abnormal child nodes and the abnormal grade of each abnormal child node.
2. The intelligent data reporting cable of claim 1 wherein the anomaly determination module is configured to:
determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitudes of the sensor values in the statistical analysis, wherein the method comprises the following steps:
when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist;
and when the change relation of the sensor values does not meet the preset change relation or the sensor values do not meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist.
3. The intelligent data reporting cable of claim 2 wherein the data reporting module is configured to:
when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area.
4. The cable monitoring method for intelligently reporting data is characterized by comprising the following steps:
receiving node report data sent by each sub-processing node, wherein the node report data comprises node sensor data of different types;
classifying the node report data according to the node sensor data in the node report data, and carrying out statistical analysis on the node sensor data under each classification based on a classification result, wherein the method comprises the steps of classifying the node report data according to the type of the node sensor data in the node report data, dividing the node sensor data of the same type into a group, and carrying out statistical analysis on the node sensor data of each group according to the report positions and the sensor values in the node sensor data to obtain an analysis result, wherein the analysis result comprises the change relation of the sensor values corresponding to different report positions;
determining whether a plurality of abnormal child nodes exist according to the analysis result;
and generating exception report data in response to the judging result of the plurality of exception sub-nodes, wherein the exception report data comprises the plurality of exception sub-nodes and the exception grade of each exception sub-node.
5. The method for monitoring the cable for intelligently reporting data according to claim 4, wherein the determining whether a plurality of abnormal child nodes exist according to the analysis result comprises:
determining whether a plurality of abnormal child nodes exist according to the change relation of the sensor values and the magnitudes of the sensor values in the statistical analysis, wherein the method comprises the following steps:
when the change relation of the sensor values meets the preset change relation and the sensor values meet the preset reporting condition, determining that a plurality of abnormal child nodes exist;
and when the change relation of the sensor values does not meet the preset change relation or the sensor values do not meet the preset reporting condition, determining that a plurality of abnormal child nodes do not exist.
6. The cable monitoring method for intelligently reporting data according to claim 5, wherein generating the exception reporting data in response to a determination that a plurality of exception child nodes exist, comprises:
when the existence of a plurality of abnormal child nodes is determined, the plurality of abnormal child nodes meeting the preset change relation are reported as an integral abnormal area.
7. A cable apparatus for intelligently reporting data, the apparatus comprising: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the cable monitoring method for intelligently reporting data as claimed in any one of claims 4 to 6.
8. A storage medium storing computer executable instructions which when executed by a computer processor are for performing the intelligent reporting data cable monitoring method of any one of claims 4-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210431152.1A CN114697234B (en) | 2022-04-22 | 2022-04-22 | Intelligent data reporting cable |
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| CN202210431152.1A CN114697234B (en) | 2022-04-22 | 2022-04-22 | Intelligent data reporting cable |
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| CN114697234B true CN114697234B (en) | 2023-12-08 |
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