CN118038353A - Cable monitoring abnormality identification system and method based on image - Google Patents
Cable monitoring abnormality identification system and method based on image Download PDFInfo
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Abstract
The embodiment of the invention discloses a cable monitoring abnormality identification system and method based on images, wherein the method comprises the following steps: periodically acquiring and storing cable images to be identified, which are shot by a camera, acquiring sensing parameters which are acquired by a sensor and correspond to the period, determining fluctuation information based on the sensing parameters under the condition that the fluctuation exists in the sensing parameters, determining preset corresponding multiple groups of fault images according to the fluctuation information, respectively comparing the cable images to be identified with the multiple groups of fault images to obtain comparison results, and generating and displaying fault information based on the comparison results. According to the scheme, the plurality of groups of fault images are determined according to the fluctuation condition of the sensing parameters acquired by the sensor, the fault information is generated according to the comparison result of the acquired cable images to be identified and the plurality of groups of fault images, automatic fault alarm is realized, the abnormal condition identification accuracy is high, and the working efficiency is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of cable monitoring, in particular to an image-based cable monitoring abnormality identification system and method.
Background
With the high-speed development of urban infrastructure construction and national overall economy, the electric wire and cable industry is gradually rising, a large number of cables are popularized, the cable faults can affect the safe and stable operation of a power grid, and cause fatal influence on a power system and even accidents, so that real-time monitoring of the operation condition of the cable is necessary, so that the cable faults can be found in time for overhauling, and the safety of the power system is maintained. In the cable monitoring process, various parameter conditions of the cable are monitored by adopting a mode of implanting sensors.
In the existing cable monitoring technology, besides the conventional implanted sensor, the cable monitoring technology further comprises a cable image monitoring mode through a detection camera for monitoring the cable in more dimensions, however, the system in the mode is weak in automatic identification capability, manual verification is needed mostly, manpower resources are wasted, the consumed time is long, and the working efficiency is low.
Disclosure of Invention
The embodiment of the invention provides an image-based cable monitoring abnormality recognition system and method, which solve the problems that the monitoring mode of cable images acquired by a detection camera is weak in automatic recognition capability, manual verification is needed mostly, manpower resources are wasted, time consumption is long, and working efficiency is low, realize automatic fault alarm, have high abnormal condition recognition accuracy and improve working efficiency.
In a first aspect, an embodiment of the present invention provides an image-based cable monitoring anomaly identification method, including:
Periodically acquiring and storing cable images to be identified, which are shot by a camera, acquiring sensing parameters which are acquired by a sensor and correspond to the period, determining fluctuation information based on the sensing parameters under the condition that the fluctuation exists in the sensing parameters, determining preset corresponding multiple groups of fault images according to the fluctuation information, respectively comparing the cable images to be identified with the multiple groups of fault images to obtain comparison results, and generating and displaying fault information based on the comparison results.
Optionally, the sensing parameter fluctuates, including:
a sensing parameter value larger than a preset standard value exists in the sensing parameter of one period;
Accordingly, the determining fluctuation information based on the sensing parameters includes:
And calculating a sensor parameter change rate according to the sensor parameter value of the period, and determining the sensor parameter change rate as fluctuation information.
Optionally, before the determining, according to the fluctuation information, a plurality of sets of preset corresponding fault images, the method further includes:
acquiring recorded historical fault information, wherein the historical fault information comprises historical sensor parameters and a plurality of groups of fault images under different fault time;
And storing historical fluctuation information obtained based on the historical sensor parameters in a correlated manner with the plurality of groups of fault images.
Optionally, the comparing the cable image to be identified with the plurality of groups of fault images to obtain a comparison result includes:
Comparing the cable image to be identified with each image in a plurality of groups of fault images to obtain a plurality of similarity values;
and taking the image with the highest similarity value as a comparison result.
Optionally, before generating the fault information based on the comparison result and displaying the fault information, the method includes:
Fault information corresponding to each fault image is recorded respectively;
correspondingly, the generating and displaying the fault information based on the comparison result comprises the following steps:
and acquiring fault information of a fault image corresponding to the recorded comparison result, and displaying the fault information.
Optionally, before the periodically acquiring and storing the cable image to be identified that is captured by the camera, and acquiring the sensing parameter that is acquired by the sensor and corresponds to the period, the method further includes:
Determining corresponding information acquisition periods based on different sensing parameters;
correspondingly, the periodic acquisition of the cable image to be identified, which is shot by the camera, and the storage of the cable image to be identified, and the acquisition of the sensing parameters, which are acquired by the sensor and correspond to the period, comprise the following steps:
And periodically acquiring and storing the cable image to be identified, which is shot by the camera, according to the information acquisition period, and acquiring the sensing parameters acquired by the sensor according to the corresponding period.
Optionally, the determining the corresponding information acquisition period based on different sensing parameters includes:
and determining a corresponding information acquisition period according to the obtained change rate of the sensing parameters of the historical faults.
In a second aspect, an embodiment of the present invention further provides an image-based cable monitoring anomaly identification system, including:
The acquisition and storage module is used for periodically acquiring and storing the cable images to be identified, which are shot by the camera, and acquiring sensing parameters acquired by the sensor in a corresponding period;
The determining module is used for determining fluctuation information based on the sensing parameters under the condition that the sensing parameters have fluctuation, and determining a plurality of groups of preset corresponding fault images according to the fluctuation information;
the comparison module is used for respectively comparing the cable image to be identified with the multiple groups of fault images to obtain comparison results;
and the generation display module is used for generating fault information based on the comparison result and displaying the fault information.
In a third aspect, an embodiment of the present invention further provides an apparatus for identifying a cable monitoring abnormality based on an image, the apparatus including:
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 method for identifying cable monitoring anomalies based on images according to the embodiment of the invention.
In a fourth aspect, embodiments of the present invention also provide a storage medium storing computer-executable instructions that, when executed by a computer processor, are configured to perform the method for identifying an anomaly in cable monitoring based on an image according to the embodiments of the present invention.
In the embodiment of the invention, cable images to be identified, which are shot by a camera, are periodically acquired and stored, sensing parameters, which are acquired by a sensor, of corresponding periods are acquired, fluctuation information is determined based on the acquired sensing parameters under the condition that fluctuation exists in the acquired sensing parameters, corresponding multiple groups of preset fault images are determined according to the determined fluctuation information, the shot cable images to be identified and the determined multiple groups of fault images are respectively compared to obtain comparison results, and fault information is generated and displayed based on the comparison results. According to the scheme, the plurality of groups of fault images are determined according to fluctuation conditions of sensing parameters acquired by the sensors, fault information is generated according to comparison results of the acquired cable images to be identified and the plurality of groups of fault images, the problem that monitoring modes of the cable images acquired by the detection cameras are weak in automatic identification capability of the system, manual verification is needed mostly, manpower resources are wasted, time is long, working efficiency is low, automatic fault alarm is achieved, abnormal condition identification accuracy is high, and working efficiency is improved.
Drawings
Fig. 1 is a flowchart of a cable monitoring anomaly identification method based on an image according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for acquiring an image of a cable to be identified and sensing parameters according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining fluctuation information according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for comparing a cable image to be identified with multiple groups of fault images according to an embodiment of the present invention;
FIG. 5 is a block diagram of a module structure of an image-based system for identifying cable monitoring anomalies according to an embodiment of the present invention;
Fig. 6 is a schematic structural diagram of an image-based cable monitoring anomaly identification device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention 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 invention. 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 invention are shown in the drawings.
Fig. 1 is a flowchart of a cable monitoring anomaly identification method based on an image according to an embodiment of the present invention, as shown in fig. 1, specifically including:
Step S101, periodically acquiring and storing cable images to be identified, which are shot by a camera, and acquiring sensing parameters acquired by a sensor in a corresponding period.
The cable image to be identified is used for representing the cable image which is shot by the camera and is waiting for image identification. The period of acquiring the cable image to be identified and the sensing parameter acquired by the sensor, which are shot by the camera, is not a fixed value, and can be preset, and optionally, the corresponding period is determined according to different sensing parameters. Under the condition that one period of time is elapsed from the last time of acquiring information, acquiring a cable image shot by a camera at the current time as a cable image to be identified, storing the cable image, and acquiring sensing parameters acquired by a sensor in a corresponding period. In one embodiment, the acquisition period is determined to be 2 hours, the time for acquiring the cable image to be identified and the sensing parameter last time is 8 am, the current time is ten am, the information acquisition instruction is triggered, the cable image shot by the ten am camera is acquired and determined to be the cable image to be identified, the cable image is stored in the storage module, and the sensing parameter acquired by the sensor from 8 am to ten am is acquired. The cable image to be identified and shot by the camera and the sensing parameters acquired by the sensor in the corresponding period are periodically acquired, so that redundant energy consumption caused by continuously acquiring data can be avoided, and the working efficiency is improved.
Step S102, under the condition that the sensing parameters fluctuate, fluctuation information is determined based on the sensing parameters, and corresponding multiple groups of preset fault images are determined according to the fluctuation information.
The fluctuation condition of the sensing parameters is determined according to preset judging conditions, and the fluctuation information is used for representing data capable of representing the fluctuation condition of the sensing parameters without fixed limitation; the plurality of groups of fault images are used for representing pre-stored historical fault images corresponding to different fluctuation information. Acquiring preset judging conditions for judging whether the sensing parameters have fluctuation or not, acquiring a method for determining fluctuation information based on the sensing parameters and determining corresponding fluctuation information according to the acquired method under the condition that the sensing parameters are determined to have fluctuation according to the judging conditions, and determining a plurality of groups of preset corresponding fault images according to the determined fluctuation information. Optionally, before determining the corresponding multiple sets of preset fault images according to the determined fluctuation information, acquiring recorded historical fault information, wherein the historical fault information comprises historical sensor parameters and multiple sets of fault images under different fault times, storing the historical fluctuation information obtained based on the historical sensor parameters in association with the multiple sets of fault images, determining the fluctuation information based on the sensing parameters, inquiring multiple sets of fault images associated with the same historical fluctuation information as the determined fluctuation information in the storage module, and determining the multiple sets of fault images as the determined fluctuation information. In one embodiment, historical sensor parameters and corresponding fault images under different recorded historical fault times are acquired, the change rate of the sensor parameters is determined to be fluctuation information, 30% of historical fluctuation information corresponding to the historical fault time 1, 40% of historical fluctuation information corresponding to the historical fault time 2, 30% of historical fluctuation information corresponding to the historical fault time 3, 30% of historical fluctuation information corresponding to the historical fault time 4, 40% of historical fluctuation information corresponding to the historical fault time 5, the fault images corresponding to the same historical fault time as the historical fluctuation information are stored in association with the historical fluctuation information, namely 30% of fault images corresponding to the historical fault times 1,3 and 4 respectively are stored in association with the historical fluctuation information, and 40% of fault images corresponding to the historical fault times 2 and 5 respectively are stored in association with the historical fluctuation information. The association relation between the historical fluctuation information and a plurality of groups of fault images is preset according to the historical fault information, so that the rationality of determining the fault images is enhanced, and the efficiency of determining the fault images is improved.
And step S103, respectively comparing the cable image to be identified with the plurality of groups of fault images to obtain comparison results, generating fault information based on the comparison results and displaying the fault information.
After a plurality of groups of preset fault images are determined according to fluctuation information of sensor parameters, the acquired cable images to be identified and the determined groups of fault images are respectively compared through image recognition to obtain comparison results, fault images successfully matched with the cable images to be identified are determined in the plurality of groups of fault images according to the comparison results, and fault information is generated and displayed based on the determined fault images successfully matched with the cable images to be identified. Optionally, before generating fault information based on the comparison result and displaying the fault information, respectively recording the fault information corresponding to each fault image, obtaining the comparison result, then obtaining the fault information of the recorded fault image corresponding to the comparison result, and displaying the obtained fault information. In one embodiment, the plurality of groups of fault images include a fault image 1, a fault image 2 and a fault image 3, the acquired cable images to be identified are respectively compared with the fault image 1, the fault image 2 and the fault image 3, the fault image 3 is determined to be successfully matched with the cable images to be identified according to the comparison result, the fault information of the recorded fault image 3 is obtained to be that the aging degree of the cable is too high, and the aging degree of the cable is determined to be the fault information of the cable images to be identified and is displayed on the electronic screen. Based on the comparison result of the cable image to be identified and the corresponding multiple groups of fault images of the history record, fault information is generated and displayed, the problem that the system is weak in automatic identification capability and needs to be checked manually mostly due to the monitoring mode of the cable image acquired by the detection camera is solved, the automatic detection of the shot images is realized, the waste of human resources is reduced, and the working efficiency is improved.
According to the method, the cable images to be identified, which are shot by the camera, are periodically acquired and stored, the sensing parameters, which are acquired by the sensor, of the corresponding period are acquired, under the condition that the acquired sensing parameters fluctuate, fluctuation information is determined based on the acquired sensing parameters, corresponding multiple groups of preset fault images are determined according to the determined fluctuation information, the shot cable images to be identified and the determined multiple groups of fault images are respectively compared to obtain comparison results, and fault information is generated and displayed based on the comparison results. According to the scheme, the plurality of groups of fault images are determined according to fluctuation conditions of sensing parameters acquired by the sensors, fault information is generated according to comparison results of the acquired cable images to be identified and the plurality of groups of fault images, the problem that monitoring modes of the cable images acquired by the detection cameras are weak in automatic identification capability of the system, manual verification is needed mostly, manpower resources are wasted, time is long, working efficiency is low, automatic fault alarm is achieved, abnormal condition identification accuracy is high, and working efficiency is improved.
Fig. 2 is a flowchart of a method for acquiring an image of a cable to be identified and sensing parameters according to an embodiment of the present invention, as shown in fig. 2, specifically including:
Step 201, determining a corresponding information acquisition period based on different sensing parameters, periodically acquiring and storing cable images to be identified, which are shot by a camera, according to the information acquisition period, and acquiring sensing parameters acquired by a sensor according to the corresponding period.
The method comprises the steps of acquiring different sensing parameters acquired by a sensor associated with a camera, and determining a corresponding information acquisition period based on the acquired different sensing parameters, wherein the corresponding information acquisition period is optionally determined according to the acquired change rate of the sensing parameters of the historical faults, and the higher the change rate of the sensor of the historical faults is, the shorter the corresponding information acquisition period is. And periodically acquiring and storing the cable image to be identified, which is shot by the camera, according to the determined information acquisition period, and acquiring the sensing parameters acquired by the sensor in the corresponding information acquisition period while periodically acquiring and storing the cable image to be identified. In one embodiment, the change rate of the sensing parameter of the historical fault is 40%, the change rate of the sensing parameter is 40% and is input into an information acquisition period generating system, and the output information acquisition period is 3 hours; the change rate of the sensing parameters of the historical faults is 50%, the change rate of the sensing parameters is 50% and is input into the information acquisition cycle generation system, and the output information acquisition cycle is 2 hours. In another embodiment, a comparison table of a sensing parameter change rate and an information acquisition period is preset, after the sensing parameter change rate of the historical fault is obtained, the preset comparison table is queried according to the obtained sensing parameter change rate of the historical fault, and the cable image to be identified and the sensing parameter are obtained according to the information acquisition period corresponding to the obtained sensing parameter change rate in the comparison table.
Step S202, under the condition that the sensing parameters fluctuate, fluctuation information is determined based on the sensing parameters, and corresponding multiple groups of preset fault images are determined according to the fluctuation information.
And step 203, comparing the cable image to be identified with the plurality of groups of fault images respectively to obtain comparison results, generating fault information based on the comparison results and displaying the fault information.
According to the above, the corresponding information acquisition period is determined according to the obtained change rate of the sensing parameters of the historical faults, the cable image to be identified, which is shot by the camera, is periodically obtained and stored according to the determined information acquisition period, and the sensing parameters, which are acquired by the sensor, of the corresponding period are obtained. The corresponding information acquisition period is determined according to the change rate of the sensing parameters of the historical faults, so that the rationality of determining the information acquisition period is enhanced, and the efficiency of determining the information acquisition period is improved.
Fig. 3 is a flowchart of a method for determining fluctuation information according to an embodiment of the present invention, where, as shown in fig. 3, the method specifically includes:
step S301, periodically acquiring and storing cable images to be identified, which are shot by a camera, and acquiring sensing parameters acquired by a sensor in a corresponding period.
Step S302, under the condition that a sensing parameter value larger than a preset standard value exists in a sensing parameter of one period, calculating a sensor parameter change rate according to the sensing parameter value of the period, determining the sensor parameter change rate as fluctuation information, and determining a plurality of groups of preset corresponding fault images according to the fluctuation information.
After periodically acquiring a cable image to be identified and sensing parameters acquired by a sensor in a corresponding period, comparing the acquired sensing parameters in each period with a preset standard value, calculating the change rate of the sensing parameters in the period according to the sensing parameter values in the period when sensing parameter values larger than the preset standard value exist in the sensing parameters in the period, determining the calculated change rate of the sensing parameters as fluctuation information in the period, and inquiring and determining a plurality of groups of preset corresponding fault images according to the determined fluctuation information. In one embodiment, the preset standard value is 40, the sensing parameter values acquired through the sensor in the first period are 20, 25, 26, 28 and 30, the sensing parameter values acquired through the sensor in the second period are 28, 35, 40, 45 and 52, the sensing parameter values acquired through the sensor in the third period are 30, 28, 23, 22 and 20, the sensing parameter values larger than the preset standard value exist in the sensing parameter in the second period, the sensor parameter change rate in the second period is 86%, and a plurality of groups of fault images corresponding to the fluctuation information of 86% are searched out. In another embodiment, when a sensing parameter value greater than a preset standard value exists in a sensing parameter of a period, a sensor parameter change curve of the period is generated according to the sensing parameter data of the period, the generated sensor parameter change curve is determined as fluctuation information of the period, and a plurality of groups of preset fault images corresponding to the generated sensor parameter change curve are queried.
And step S303, respectively comparing the cable image to be identified with the plurality of groups of fault images to obtain comparison results, generating fault information based on the comparison results and displaying the fault information.
From the above, after the cable image to be identified captured by the camera is periodically acquired and stored, and the sensing parameter acquired by the sensor in a corresponding period is acquired, if there is a sensing parameter value greater than a preset standard value in the sensing parameter in one period, calculating the sensor parameter change rate according to the sensing parameter value in the period, determining the calculated sensor parameter change rate as fluctuation information, and determining a plurality of sets of preset corresponding fault images according to the determined fluctuation information. According to the scheme, multiple groups of fault images are obtained through determining the fluctuation information of the sensing parameters, so that the fault information is determined by comparing the fluctuation information with the cable images to be identified, the abnormal condition identification accuracy is high, and the working efficiency is improved.
Fig. 4 is a flowchart of a method for comparing a cable image to be identified with multiple groups of fault images according to an embodiment of the present invention, as shown in fig. 4, specifically including:
Step S401, periodically acquiring and storing cable images to be identified, which are shot by a camera, and acquiring sensing parameters acquired by a sensor in a corresponding period.
Step S402, under the condition that the sensing parameters have fluctuation, fluctuation information is determined based on the sensing parameters, and corresponding multiple groups of preset fault images are determined according to the fluctuation information.
And S403, comparing the cable image to be identified with each image in the plurality of groups of fault images to obtain a plurality of similarity values, taking the image with the highest similarity value as a comparison result, generating fault information based on the comparison result, and displaying the fault information.
After a plurality of groups of preset fault images are determined according to fluctuation information of the sensing parameters, respectively comparing the cable images to be identified corresponding to the sensing parameters with each of the plurality of groups of fault images to obtain corresponding similarity values, taking the image with the highest similarity value with the cable images to be identified in the plurality of groups of fault images as a comparison result, acquiring fault information of the fault images corresponding to the recorded comparison result, and sending the acquired fault information to a system platform and displaying the fault information on an electronic screen. In one embodiment, the determined multiple groups of fault images comprise a fault image 1, a fault image 2 and a fault image 3, cable images to be identified corresponding to sensing parameters with fluctuation conditions are respectively compared with the fault image 1, the fault image 2 and the fault image 3, obtained similarity values are 40%, 95% and 50% respectively, the similarity value of the fault image 2 and the cable images to be identified is the highest, the fault image 2 is used as a comparison result, recorded fault information of the fault image 2 is obtained, and the obtained fault information is sent to a system platform and displayed on an electronic screen. In another embodiment, features of each of the cable image to be identified and the plurality of fault images are extracted and compared respectively, and the fault images with the matched features are determined as comparison results.
After the corresponding multiple groups of fault images are determined according to the fluctuation information of the sensing parameters, the acquired cable images to be identified are respectively compared with each of the multiple groups of fault images to obtain multiple similarity values, and the image with the highest similarity value is used as a comparison result, and fault information is generated and displayed based on the comparison result. According to the scheme, the cable images to be identified are compared with each image in the plurality of groups of fault images, so that the fault images which are most matched with the cable images to be identified are obtained, the photographed images are automatically detected, the rationality and the working efficiency are improved, and the accuracy is correspondingly improved.
Fig. 5 is a block diagram of a module structure of an image-based cable monitoring anomaly identification system according to an embodiment of the present invention, where the system is configured to execute the image-based cable monitoring anomaly identification method according to the foregoing embodiment, and the system has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 5, the apparatus specifically includes:
The acquisition and storage module 101 is used for periodically acquiring and storing cable images to be identified, which are shot by the camera, and acquiring sensing parameters acquired by the sensor in a corresponding period;
A determining module 102, configured to determine fluctuation information based on the sensing parameter when there is fluctuation in the sensing parameter, and determine a plurality of sets of preset corresponding fault images according to the fluctuation information;
the comparison module 103 is used for respectively comparing the cable image to be identified with the multiple groups of fault images to obtain comparison results;
and the generation display module 104 is used for generating and displaying fault information based on the comparison result.
According to the scheme, the cable images to be identified, which are shot by the camera, are periodically acquired and stored, the sensing parameters, which are acquired by the sensor, of the corresponding period are acquired, under the condition that the acquired sensing parameters fluctuate, fluctuation information is determined based on the acquired sensing parameters, corresponding multiple groups of preset fault images are determined according to the determined fluctuation information, the shot cable images to be identified and the determined multiple groups of fault images are respectively compared to obtain comparison results, and fault information is generated and displayed based on the comparison results. According to the scheme, the plurality of groups of fault images are determined according to fluctuation conditions of sensing parameters acquired by the sensors, fault information is generated according to comparison results of the acquired cable images to be identified and the plurality of groups of fault images, the problem that monitoring modes of the cable images acquired by the detection cameras are weak in automatic identification capability of the system, manual verification is needed mostly, manpower resources are wasted, time is long, working efficiency is low, automatic fault alarm is achieved, abnormal condition identification accuracy is high, and working efficiency is improved.
In a possible embodiment, the acquiring storage module 101 is specifically configured to:
Determining corresponding information acquisition periods based on different sensing parameters;
correspondingly, the periodic acquisition of the cable image to be identified, which is shot by the camera, and the storage of the cable image to be identified, and the acquisition of the sensing parameters, which are acquired by the sensor and correspond to the period, comprise the following steps:
And periodically acquiring and storing the cable image to be identified, which is shot by the camera, according to the information acquisition period, and acquiring the sensing parameters acquired by the sensor according to the corresponding period.
In a possible embodiment, the acquiring storage module 101 is further configured to:
and determining a corresponding information acquisition period according to the obtained change rate of the sensing parameters of the historical faults.
In a possible embodiment, the acquiring storage module 101 is further configured to:
acquiring recorded historical fault information, wherein the historical fault information comprises historical sensor parameters and a plurality of groups of fault images under different fault time;
And storing historical fluctuation information obtained based on the historical sensor parameters in a correlated manner with the plurality of groups of fault images.
In one possible embodiment, the determining module 102 is specifically configured to:
a sensing parameter value larger than a preset standard value exists in the sensing parameter of one period;
Accordingly, the determining fluctuation information based on the sensing parameters includes:
And calculating a sensor parameter change rate according to the sensor parameter value of the period, and determining the sensor parameter change rate as fluctuation information.
In one possible embodiment, the comparison module 103 is specifically configured to:
Comparing the cable image to be identified with each image in a plurality of groups of fault images to obtain a plurality of similarity values;
and taking the image with the highest similarity value as a comparison result.
In one possible embodiment, the generating display module 104 is specifically configured to:
Fault information corresponding to each fault image is recorded respectively;
correspondingly, the generating and displaying the fault information based on the comparison result comprises the following steps:
and acquiring fault information of a fault image corresponding to the recorded comparison result, and displaying the fault information.
Fig. 6 is a schematic structural diagram of an apparatus for identifying cable monitoring abnormality based on an image according to an embodiment of the present invention, as shown in fig. 6, the apparatus 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. 6; 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. 6. 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 image-based cable monitoring anomaly identification method 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, i.e., implements the above-described image-based cable monitoring abnormality recognition method. 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.
Embodiments of the present invention also provide a storage medium containing computer executable instructions, which when executed by a computer processor, are for performing an image-based cable monitoring anomaly identification method, the method comprising:
Periodically acquiring and storing cable images to be identified, which are shot by a camera, acquiring sensing parameters which are acquired by a sensor and correspond to the period, determining fluctuation information based on the sensing parameters under the condition that the fluctuation exists in the sensing parameters, determining preset corresponding multiple groups of fault images according to the fluctuation information, respectively comparing the cable images to be identified with the multiple groups of fault images to obtain comparison results, and generating and displaying fault information based on the comparison results.
It should be noted that, in the embodiment of the system for identifying cable monitoring abnormality based on image, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding functions can be implemented; 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 invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present invention 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 invention. Therefore, while the embodiments of the present invention have been described in connection with the above embodiments, the embodiments of the present invention 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 invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. The cable monitoring abnormality identification method based on the image is characterized by comprising the following steps of:
Periodically acquiring and storing cable images to be identified, which are shot by a camera, and acquiring sensing parameters acquired by a sensor in a corresponding period;
Under the condition that the sensing parameters fluctuate, fluctuation information is determined based on the sensing parameters, and a plurality of groups of preset corresponding fault images are determined according to the fluctuation information;
And respectively comparing the cable image to be identified with the plurality of groups of fault images to obtain comparison results, generating fault information based on the comparison results and displaying the fault information.
2. The method for identifying the image-based cable monitoring anomalies according to claim 1, wherein the sensing parameter fluctuates, comprising:
a sensing parameter value larger than a preset standard value exists in the sensing parameter of one period;
Accordingly, the determining fluctuation information based on the sensing parameters includes:
And calculating a sensor parameter change rate according to the sensor parameter value of the period, and determining the sensor parameter change rate as fluctuation information.
3. The method for identifying an anomaly in cable monitoring based on image according to claim 1, further comprising, before the determining of the corresponding plurality of sets of failure images set in advance according to the fluctuation information:
acquiring recorded historical fault information, wherein the historical fault information comprises historical sensor parameters and a plurality of groups of fault images under different fault time;
And storing historical fluctuation information obtained based on the historical sensor parameters in a correlated manner with the plurality of groups of fault images.
4. The method for identifying abnormal monitoring of an image-based cable according to any one of claims 1 to 3, wherein the comparing the cable image to be identified with the plurality of groups of fault images to obtain a comparison result includes:
Comparing the cable image to be identified with each image in a plurality of groups of fault images to obtain a plurality of similarity values;
and taking the image with the highest similarity value as a comparison result.
5. The method for identifying an abnormality in monitoring a cable based on an image as claimed in claim 4, comprising, before generating and displaying fault information based on the comparison result:
Fault information corresponding to each fault image is recorded respectively;
correspondingly, the generating and displaying the fault information based on the comparison result comprises the following steps:
and acquiring fault information of a fault image corresponding to the recorded comparison result, and displaying the fault information.
6. The method for identifying abnormal monitoring of a cable based on image according to any one of claims 1-3, wherein before periodically acquiring and storing the cable image to be identified captured by the camera, and acquiring the sensing parameters acquired by the sensor in the corresponding period, the method further comprises:
Determining corresponding information acquisition periods based on different sensing parameters;
correspondingly, the periodic acquisition of the cable image to be identified, which is shot by the camera, and the storage of the cable image to be identified, and the acquisition of the sensing parameters, which are acquired by the sensor and correspond to the period, comprise the following steps:
And periodically acquiring and storing the cable image to be identified, which is shot by the camera, according to the information acquisition period, and acquiring the sensing parameters acquired by the sensor according to the corresponding period.
7. The method of claim 6, wherein determining the corresponding information acquisition period based on different sensing parameters comprises:
and determining a corresponding information acquisition period according to the obtained change rate of the sensing parameters of the historical faults.
8. An image-based cable monitoring anomaly identification system, comprising:
The acquisition and storage module is used for periodically acquiring and storing the cable images to be identified, which are shot by the camera, and acquiring sensing parameters acquired by the sensor in a corresponding period;
The determining module is used for determining fluctuation information based on the sensing parameters under the condition that the sensing parameters have fluctuation, and determining a plurality of groups of preset corresponding fault images according to the fluctuation information;
the comparison module is used for respectively comparing the cable image to be identified with the multiple groups of fault images to obtain comparison results;
and the generation display module is used for generating fault information based on the comparison result and displaying the fault information.
9. An image-based cable monitoring anomaly identification device, the device comprising: one or more processors; storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the image-based cable monitoring anomaly identification method of any one of claims 1-7.
10. A storage medium storing computer executable instructions which when executed by a computer processor are for performing the image-based cable monitoring anomaly identification method of any one of claims 1-7.
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