CN114120103A - Intelligent cable monitoring method and device based on image data - Google Patents
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Abstract
The embodiment of the invention discloses an intelligent cable monitoring method based on image data, which comprises the following steps: acquiring image data acquired by each monitoring acquisition node every fixed preset period, and respectively identifying the image data to obtain cable data information of the corresponding monitoring acquisition node; determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate; and acquiring image data for each monitoring acquisition node in the adjusted period, and generating alarm information when the acquired image data meets the fault alarm condition. According to the scheme, the problems of single cable monitoring mode and low efficiency in the prior art are solved, and low-power-consumption operation of monitoring equipment is guaranteed.
Description
Technical Field
The embodiment of the application relates to the field of cables, in particular to an intelligent cable monitoring method and device based on image data.
Background
In order to ensure the normal operation of the cable, various sensors are usually arranged to realize the real-time monitoring of the cable parameters, and the cable parameters are displayed through a big data platform, so that the fault point and the fault reason can be determined at the first time when the cable has a fault.
Most of the existing intelligent cables are provided with temperature sensors and the like to monitor the temperature of the cables, the obtained temperature is compared with a preset threshold value to monitor whether the cables are safe, monitoring parameters of the monitoring mode are relatively single, and hidden dangers of other modes cannot be monitored.
Disclosure of Invention
The embodiment of the invention provides an intelligent cable monitoring method and device based on image data, solves the problems of single cable monitoring mode and low efficiency in the prior art, and simultaneously ensures low-power-consumption operation of monitoring equipment.
In a first aspect, an embodiment of the present invention provides an intelligent cable monitoring method based on image data, where the method includes:
acquiring pre-recorded cable areas of different areas, and determining cable parameter monitoring nodes contained in the cable areas;
determining a wake-up period, a data acquisition parameter and a data reporting period of the cable parameter monitoring node according to the type of the cable parameter monitoring node, the fault information of the cable segment area and the environmental parameter of the external environment of the cable segment area;
and controlling the cable parameter monitoring node to acquire the determined data acquisition parameters after the cable parameter monitoring node is awakened in the awakening period, and controlling the cable parameter monitoring node to report the data in the determined data reporting period.
Optionally, the identifying the image data respectively to obtain cable data information of corresponding monitoring and collecting nodes includes:
identifying a cable image contained in the image data;
and generating corresponding cable data information according to the image identification result, wherein the cable data information comprises deformation data, obstacle data and relative position relation data of the cable line.
Optionally, the determining, according to the cable data information, a cable fault rate of a cable area monitored in the corresponding monitoring acquisition node includes:
determining the line type of the cable line, and determining the cable fault rate of a monitoring cable area in a corresponding monitoring acquisition node according to the deformation data of the cable line when the line type is a first type;
and when the line type is a second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line.
Optionally, determining a cable fault rate of a monitoring cable area in a corresponding monitoring acquisition node according to the deformation data of the cable line includes:
and determining the cable fault rate of the cable line according to the deformation data of the cable line, a preset deformation threshold interval and the cable fault rate corresponding to each interval.
Optionally, the determining, according to the obstacle data and the relative position relationship data of the cable line, the cable fault rate of the monitored cable area in the corresponding monitoring acquisition node includes:
determining an obstacle type of the cable line, and determining a first fault rate based on the obstacle type;
determining a second fault rate of the cable line according to the relative position relation data of the cable line;
and superposing the first fault rate and the second fault rate to obtain the cable fault rate of the cable line.
Optionally, the adjusting the fixed preset period corresponding to each monitoring and collecting node according to the cable fault rate includes:
when the cable fault rate is larger than a first threshold value, shortening the fixed preset period according to a first preset proportion; and when the cable fault rate is smaller than a second threshold value, prolonging the fixed preset period according to a second preset proportion, wherein the second threshold value is smaller than the first threshold value.
Optionally, when it is determined that the acquired image data meets the fault alarm condition, generating alarm information includes:
determining a fault type and a fault grade according to the image data;
and generating alarm information according to the fault type and the fault grade.
In a second aspect, an embodiment of the present invention further provides an intelligent cable monitoring device based on image data, where the intelligent cable monitoring device includes:
the data information generation module is used for acquiring image data acquired by each monitoring acquisition node every fixed preset period and respectively identifying the image data to acquire cable data information of the corresponding monitoring acquisition node;
the period adjusting module is used for determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate;
and the alarm information generation module is used for acquiring the image data of each monitoring acquisition node in the adjusted period respectively and generating alarm information when the acquired image data meet the fault alarm condition.
In a third aspect, an embodiment of the present invention further provides an intelligent cable monitoring device based on image data, where the intelligent cable monitoring device includes:
one or more processors;
a storage device 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 method for intelligent cable monitoring based on image data according to the embodiment of the present invention.
In a fourth aspect, the present invention further provides a storage medium storing computer-executable instructions, which when executed by a computer processor, are used to perform the intelligent cable monitoring method based on image data according to the present invention.
In the embodiment of the invention, the image data acquired by each monitoring acquisition node is acquired at fixed preset intervals, and the image data is respectively identified to obtain the cable data information of the corresponding monitoring acquisition node; determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate; and acquiring image data for each monitoring acquisition node in the adjusted period, and generating alarm information when the acquired image data meets the fault alarm condition. According to the scheme, the problems of single cable monitoring mode and low efficiency in the prior art are solved, and low-power-consumption operation of monitoring equipment is guaranteed.
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Fig. 1 is a flowchart of an intelligent cable monitoring method based on image data according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an intelligent cable monitoring method based on image data according to an embodiment of the present invention;
fig. 3 is a block diagram of an intelligent cable monitoring device based on image data according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent cable monitoring device based on image data according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad invention. It should be further noted that, for convenience of description, only some structures, not all structures, relating to the embodiments of the present invention are shown in the drawings.
Fig. 1 is a flowchart of an intelligent cable monitoring method based on image data according to an embodiment of the present invention, which can be executed by a cable system master control platform integrated by a server, and specifically includes the following steps:
s101, acquiring image data acquired by each monitoring acquisition node every other fixed preset period, and identifying the image data respectively to obtain cable data information of the corresponding monitoring acquisition node.
The fixed preset period is preset and can be a default time period after initialization. A plurality of monitoring acquisition nodes are arranged in the cable line to shoot image data corresponding to the cable line. Wherein, this monitoring acquisition node can be the low-power consumption device of shooing of setting on cable joint or cable run, like common low-power consumption natural light camera or infrared camera. The cable line comprises various forms of cable lines such as a tunnel, a ground, an overhead cable and the like. And identifying the acquired image data to obtain cable data information corresponding to the monitoring acquisition node. The cable data information may be used to determine a failure rate of the cable.
Specifically, the cable image included in the image data may be identified; and generating corresponding cable data information according to the image identification result, wherein the cable data information comprises deformation data, obstacle data and relative position relation data of the cable line.
And S102, determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the monitoring acquisition node.
And after the cable data information is obtained, determining the cable fault rate of the monitoring cable area in the monitoring acquisition node based on the cable data information. Specifically, the method comprises the following steps:
and S1021, determining the line type of the cable line, and determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the deformation data of the cable line when the line type is the first type.
And step S1022, when the line type is the second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line.
Wherein the line type of the cable line can be determined by type field data recorded in the cable data information. The line type of the cable line may be recognized when the image data is recognized. In one embodiment, the first type may be an underground cable and the second type may be an overhead cable.
And when the line type is the first type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the deformation data of the cable line. Specifically, the cable fault rate of the cable line may be determined according to the deformation data of the cable line, a preset deformation threshold interval and a cable fault rate corresponding to each interval. Wherein, deformation data includes specific deformation proportion, if by the 4/5 of extrusion for original size, then the deformation proportion is 20%, corresponding can fall into the deformation threshold interval of presetting that corresponds the setting to every deformation proportion, every deformation threshold interval of presetting is to a respective cable fault rate. Illustratively, the preset deformation threshold interval [0, 20% ] corresponds to a cable failure rate of 10%, and the preset deformation threshold interval [ 50%, 70% ] corresponds to a cable failure rate of 80%.
And when the line type is a second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line. Specifically, it may be: determining an obstacle type of the cable line, and determining a first fault rate based on the obstacle type; determining a second fault rate of the cable line according to the relative position relation data of the cable line; and superposing the first fault rate and the second fault rate to obtain the cable fault rate of the cable line. The fault objects comprise fallen leaves, snow cover and the like, and different types of fault objects correspond to different first fault rates. The relative positions of the cable lines comprise the distances between two or more cable lines, different distances correspond to different second fault rates, and the second fault rate is higher when the distances between the two cable lines are closer. For example, if the first failure rate is determined to be 35% and the second failure rate is 50%, the failure rate of the cable line determined by the superposition of the two is 85%.
In an embodiment, after the cable fault rate is determined, the fixed preset period corresponding to each monitoring and collecting node is further adjusted according to the cable fault rate. Specifically, when the cable fault rate is greater than a first threshold, the fixed preset period is shortened according to a first preset proportion; and when the cable fault rate is smaller than a second threshold value, prolonging the fixed preset period according to a second preset proportion, wherein the second threshold value is smaller than the first threshold value. For example, the fixed preset period may be 1 day, the first preset ratio may be 1/2, and the second preset ratio may be 2 times. The first threshold may be 50% for example, and the second threshold may be 20% for example.
Step S103, collecting image data for each monitoring and collecting node in the respective adjusted period, and generating alarm information when the collected image data are determined to meet the fault alarm condition.
After the adjusted period is determined for each acquisition point, image data is acquired for each monitoring acquisition node in the adjusted period, so that high-efficiency operation is guaranteed. Meanwhile, when the acquired image data are determined to meet the fault alarm condition, alarm information is generated. Specifically, the method comprises the following steps: determining a fault type and a fault grade according to the image data; and generating alarm information according to the fault type and the fault grade. Illustratively, if a deformation fault is identified from the image data, it corresponds to a type of fault of type centennial, and if it is an obstacle fault, it corresponds to a type of fault of obstacle. And corresponding fault grades are given according to different deformation rates, types and numbers of the obstacles and the like. Illustratively, the deformation rate of 20% corresponds to a low fault level, the deformation rate of 50% corresponds to a medium fault level, and the deformation rate of 70% or more corresponds to a high fault level. The obstacle is snow cover, and the obstacle is low in fault grade corresponding to fallen leaves, medium in fault grade corresponding to the higher thickness.
According to the method, the image data acquired by each monitoring acquisition node is acquired at fixed preset intervals, and the image data is respectively identified to obtain the cable data information of the corresponding monitoring acquisition node; determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate; and acquiring image data for each monitoring acquisition node in the adjusted period, and generating alarm information when the acquired image data meets the fault alarm condition. According to the scheme, the problems of single cable monitoring mode and low efficiency in the prior art are solved, and low-power-consumption operation of monitoring equipment is guaranteed.
Fig. 2 is a flowchart of another intelligent cable monitoring method based on image data according to an embodiment of the present invention, and a specific complete example is shown in fig. 2. The method specifically comprises the following steps:
step S201, acquiring image data acquired by each monitoring acquisition node every fixed preset period, and identifying cable images contained in the image data.
Step S202, generating corresponding cable data information according to the image recognition result, wherein the cable data information comprises deformation data of a cable line, obstacle data and relative position relation data.
And S203, when the line type is the first type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the deformation data of the cable line.
And S204, determining the cable fault rate of the cable line according to the deformation data of the cable line, a preset deformation threshold interval and the cable fault rate corresponding to each interval.
And S205, when the line type is the second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line.
Step S206, determining the type of the obstacle of the cable line, determining a first fault rate based on the type of the obstacle, and determining a second fault rate of the cable line according to the relative position relation data of the cable line.
And step S207, superposing the first fault rate and the second fault rate to obtain the cable fault rate of the cable line.
Step S208, when the cable fault rate is larger than a first threshold value, shortening the fixed preset period according to a first preset proportion; and when the cable fault rate is smaller than a second threshold value, prolonging the fixed preset period according to a second preset proportion, wherein the second threshold value is smaller than the first threshold value.
And step S209, acquiring image data for each monitoring acquisition node in the respectively adjusted period.
Step S210, determining a fault type and a fault grade according to the image data, and generating alarm information according to the fault type and the fault grade.
According to the scheme, the cable monitoring under high-efficiency and reasonable power consumption is realized, the problems of single cable monitoring mode and low efficiency in the prior art are solved, and the low-power consumption operation of the monitoring equipment is ensured.
Fig. 3 is a block diagram of an intelligent cable monitoring device based on image data according to an embodiment of the present invention, where the device is used to execute the intelligent cable monitoring method based on image data according to the embodiment, and has corresponding functional modules and beneficial effects of the execution method. As shown in fig. 3, the apparatus specifically includes: a section data information generating module 101, a period adjusting module 102 and an alarm information generating module 103, wherein,
the data information generating module 101 is configured to acquire image data acquired by each monitoring acquisition node every fixed preset period, and identify the image data respectively to obtain cable data information of the corresponding monitoring acquisition node;
the period adjusting module 102 is configured to determine a cable fault rate of a monitored cable region in corresponding monitoring acquisition nodes according to the cable data information, and adjust a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate;
an alarm information generation module 103, configured to collect image data for each monitoring collection node in each adjusted period, and generate alarm information when it is determined that the collected image data meets a fault alarm condition
According to the scheme, the image data acquired by each monitoring acquisition node is acquired at fixed preset intervals, and the image data is respectively identified to obtain the cable data information of the corresponding monitoring acquisition node; determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate; and acquiring image data for each monitoring acquisition node in the adjusted period, and generating alarm information when the acquired image data meets the fault alarm condition. According to the scheme, the problems of single cable monitoring mode and low efficiency in the prior art are solved, and low-power-consumption operation of monitoring equipment is guaranteed. The specific functions executed by each module are as follows:
in a possible embodiment, the respectively identifying the image data to obtain cable data information of the corresponding monitoring acquisition node includes:
identifying a cable image contained in the image data;
and generating corresponding cable data information according to the image identification result, wherein the cable data information comprises deformation data, obstacle data and relative position relation data of the cable line.
In a possible embodiment, the determining, according to the cable data information, a cable fault rate of a monitored cable area in a corresponding monitoring acquisition node includes:
determining the line type of the cable line, and determining the cable fault rate of a monitoring cable area in a corresponding monitoring acquisition node according to the deformation data of the cable line when the line type is a first type;
and when the line type is a second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line.
In a possible embodiment, the determining, according to the deformation data of the cable line, a cable fault rate of a monitored cable area in a corresponding monitoring acquisition node includes:
and determining the cable fault rate of the cable line according to the deformation data of the cable line, a preset deformation threshold interval and the cable fault rate corresponding to each interval.
In a possible embodiment, the determining, according to the obstacle data and the relative position relationship data of the cable line, a cable fault rate of a monitored cable area in a corresponding monitoring acquisition node includes:
determining an obstacle type of the cable line, and determining a first fault rate based on the obstacle type;
determining a second fault rate of the cable line according to the relative position relation data of the cable line;
and superposing the first fault rate and the second fault rate to obtain the cable fault rate of the cable line.
In a possible embodiment, the adjusting the fixed preset period corresponding to each monitoring and collecting node according to the cable fault rate includes:
when the cable fault rate is larger than a first threshold value, shortening the fixed preset period according to a first preset proportion; and when the cable fault rate is smaller than a second threshold value, prolonging the fixed preset period according to a second preset proportion, wherein the second threshold value is smaller than the first threshold value.
In a possible embodiment, the generating the alarm information when it is determined that the acquired image data satisfies the failure alarm condition includes:
determining a fault type and a fault grade according to the image data;
and generating alarm information according to the fault type and the fault grade.
Fig. 4 is a schematic structural diagram of an intelligent cable monitoring apparatus based on image data according to an embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of the processors 201 in the device may be one or more, and one processor 201 is taken as an example in fig. 4; the processor 201, the memory 202, the input device 203 and the output device 204 in the apparatus may be connected by a bus or other means, for example in fig. 4. The memory 202, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the intelligent cable monitoring method based on image data in the embodiment of the present invention. 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 above-described intelligent cable monitoring method based on image data. The input device 203 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the apparatus. The output device 204 may include a display device such as a display screen.
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for intelligent cable monitoring based on image data, the method comprising:
acquiring image data acquired by each monitoring acquisition node every fixed preset period, and respectively identifying the image data to obtain cable data information of the corresponding monitoring acquisition node;
determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate;
and acquiring image data for each monitoring acquisition node in the adjusted period, and generating alarm information when the acquired image data meets the fault alarm condition.
Optionally, the identifying the image data respectively to obtain cable data information of corresponding monitoring and collecting nodes includes:
identifying a cable image contained in the image data;
and generating corresponding cable data information according to the image identification result, wherein the cable data information comprises deformation data, obstacle data and relative position relation data of the cable line.
Optionally, the determining, according to the cable data information, a cable fault rate of a cable area monitored in the corresponding monitoring acquisition node includes:
determining the line type of the cable line, and determining the cable fault rate of a monitoring cable area in a corresponding monitoring acquisition node according to the deformation data of the cable line when the line type is a first type;
and when the line type is a second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line.
Optionally, determining a cable fault rate of a monitoring cable area in a corresponding monitoring acquisition node according to the deformation data of the cable line includes:
and determining the cable fault rate of the cable line according to the deformation data of the cable line, a preset deformation threshold interval and the cable fault rate corresponding to each interval.
Optionally, the determining, according to the obstacle data and the relative position relationship data of the cable line, the cable fault rate of the monitored cable area in the corresponding monitoring acquisition node includes:
determining an obstacle type of the cable line, and determining a first fault rate based on the obstacle type;
determining a second fault rate of the cable line according to the relative position relation data of the cable line;
and superposing the first fault rate and the second fault rate to obtain the cable fault rate of the cable line.
Optionally, the adjusting the fixed preset period corresponding to each monitoring and collecting node according to the cable fault rate includes:
when the cable fault rate is larger than a first threshold value, shortening the fixed preset period according to a first preset proportion; and when the cable fault rate is smaller than a second threshold value, prolonging the fixed preset period according to a second preset proportion, wherein the second threshold value is smaller than the first threshold value.
Optionally, when it is determined that the acquired image data meets the fault alarm condition, generating alarm information includes:
determining a fault type and a fault grade according to the image data;
and generating alarm information according to the fault type and the fault grade.
It should be noted that, in the embodiment of the intelligent cable monitoring device based on image data, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
It should be noted that the foregoing is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will appreciate that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. The intelligent cable monitoring method based on image data is characterized by comprising the following steps:
acquiring image data acquired by each monitoring acquisition node every fixed preset period, and respectively identifying the image data to obtain cable data information of the corresponding monitoring acquisition node;
determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information, and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate;
and acquiring image data for each monitoring acquisition node in the adjusted period, and generating alarm information when the acquired image data meets the fault alarm condition.
2. The intelligent cable monitoring method based on image data according to claim 1, wherein the identifying the image data respectively to obtain cable data information of corresponding monitoring acquisition nodes comprises:
identifying a cable image contained in the image data;
and generating corresponding cable data information according to the image identification result, wherein the cable data information comprises deformation data, obstacle data and relative position relation data of the cable line.
3. The intelligent cable monitoring method based on image data according to claim 2, wherein the determining a cable fault rate of a monitored cable region in a corresponding monitoring acquisition node according to the cable data information comprises:
determining the line type of the cable line, and determining the cable fault rate of a monitoring cable area in a corresponding monitoring acquisition node according to the deformation data of the cable line when the line type is a first type;
and when the line type is a second type, determining the cable fault rate of the monitoring cable area in the corresponding monitoring acquisition node according to the obstacle data and the relative position relation data of the cable line.
4. The intelligent cable monitoring method based on image data according to claim 3, wherein the determining of the cable fault rate of the monitored cable region in the corresponding monitoring acquisition node according to the deformation data of the cable line comprises:
and determining the cable fault rate of the cable line according to the deformation data of the cable line, a preset deformation threshold interval and the cable fault rate corresponding to each interval.
5. The intelligent cable monitoring method based on image data as claimed in claim 3, wherein the determining of the cable fault rate of the monitored cable region in the corresponding monitoring acquisition node according to the obstacle data and the relative position relationship data of the cable line comprises:
determining an obstacle type of the cable line, and determining a first fault rate based on the obstacle type;
determining a second fault rate of the cable line according to the relative position relation data of the cable line;
and superposing the first fault rate and the second fault rate to obtain the cable fault rate of the cable line.
6. The intelligent cable monitoring method based on image data according to claim 1, wherein the adjusting of the fixed preset period corresponding to each monitoring acquisition node according to the cable failure rate comprises:
when the cable fault rate is larger than a first threshold value, shortening the fixed preset period according to a first preset proportion; and when the cable fault rate is smaller than a second threshold value, prolonging the fixed preset period according to a second preset proportion, wherein the second threshold value is smaller than the first threshold value.
7. An intelligent cable monitoring method based on image data according to any one of claims 1-6, wherein the generating alarm information upon determining that the acquired image data satisfies a fault alarm condition comprises:
determining a fault type and a fault grade according to the image data;
and generating alarm information according to the fault type and the fault grade.
8. Intelligent cable monitoring devices based on image data, its characterized in that includes:
the data information generation module is used for acquiring image data acquired by each monitoring acquisition node every fixed preset period and respectively identifying the image data to acquire cable data information of the corresponding monitoring acquisition node;
the period adjusting module is used for determining the cable fault rate of a monitoring cable area in the corresponding monitoring acquisition node according to the cable data information and adjusting a fixed preset period corresponding to each monitoring acquisition node according to the cable fault rate to obtain the cable fault rate;
and the alarm information generation module is used for acquiring the image data of each monitoring acquisition node in the adjusted period respectively and generating alarm information when the acquired image data meet the fault alarm condition.
9. An intelligent cable monitoring device based on image data, the device comprising: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the intelligent cable monitoring method based on image data according to any one of claims 1-7.
10. A storage medium storing computer executable instructions for performing the image data based smart cable monitoring method of any one of claims 1-7 when executed by a computer processor.
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| CN114884997A (en) * | 2022-05-26 | 2022-08-09 | 广州番禺电缆集团有限公司 | Intelligent cable monitoring system for sensor data grading transmission |
| CN114884997B (en) * | 2022-05-26 | 2023-10-24 | 广州番禺电缆集团有限公司 | Intelligent cable monitoring system for hierarchical transmission of sensor data |
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