CN113099242B - Power transmission line video monitoring data processing method and system - Google Patents
Power transmission line video monitoring data processing method and system Download PDFInfo
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Abstract
The invention relates to the technical field of new energy transmission line maintenance, and discloses a method and a system for processing video monitoring data of a transmission line, wherein the method comprises the following steps: recording the running image of the target equipment on the power transmission line in real time by using a video monitoring unit, and analyzing and obtaining a running abnormal data link representing the abnormal running condition of the target equipment on the power transmission line according to the running image; calibrating and analyzing the running state of the target equipment based on the running abnormal data chain, and acquiring and summarizing abnormal equipment data chains of all target equipment in abnormal running; and performing directional maintenance on the target equipment on the power transmission line based on the abnormal equipment data chain. According to the method, the redundancy removing operation is performed on the running image of the power transmission line by sequentially utilizing the histogram analysis and the adjacent static degree analysis, and only the static image frame containing the abnormal running condition of the equipment is reserved, so that the compression of real-time running image data is realized, and the data transmission pressure of the system is reduced.
Description
Technical Field
The invention relates to the technical field of new energy transmission line maintenance, in particular to a method and a system for processing video monitoring data of a transmission line.
Background
Under the background of rapid development of world economy and continuous increase of renewable energy grid-connected proportion, uncertainties of a power supply side and a load side of a power system are increasingly strengthened. The new energy power generation has the characteristics of uncertainty, uneven time-space distribution and the like, and the high-proportion connection of the new energy power generation into a power grid can make the operating characteristics of a power system more complex and make the operating environment more difficult to predict; the practical operation environments such as line maintenance and unit operation states have important influence on the planning of the power system, and the practical significance is achieved by taking the actual operation environments into consideration in power grid planning. In the new environment of the power system development, the power transmission network planning has higher requirements in the aspects of flexibility, reliability and the like.
The power transmission line equipment state monitoring system is an important technical means for realizing state operation maintenance management of power transmission and transformation equipment, and improving the power transmission and transformation major and production operation management lean level. The system realizes real-time perception, monitoring and early warning, analysis and diagnosis, evaluation and prediction of the running state of various power transmission and transformation equipment through various sensor technologies, wide area communication technologies and information processing technologies. With the rapid advance of the modern company of 'one-strong three-excellent' and the strong smart grid strategy established by the national grid company, the increase of the safe operation level of the grid by adopting scientific and technological means becomes the inevitable trend of the development of the modern grid. The online monitoring of the power transmission line is an extremely important component in the national smart grid project, is a main means for realizing the reliable, safe, economic, efficient and environment-friendly targets of the national power grid, and has a very positive significance for further improving the safe operation level of the electric power.
The prior art CN201610061402.1 discloses a communication method and system for on-line monitoring data of a power transmission line, wherein terminal monitoring nodes and sink nodes are arranged on the power transmission line; acquiring current monitoring data of the power transmission line; converging the monitoring data into convergent node data, and transmitting the convergent node data to a monitoring master station; and the monitoring master station receives the sink node data and carries out real-time monitoring. The system comprises terminal monitoring nodes, sink nodes, remote substation nodes and a monitoring master station which are communicated with each other in a 5.8G wireless private network, and illegal access of nodes in a non-network is effectively prevented; the problem of poor network transmission reliability is solved while the requirement of high bandwidth of image video monitoring is met.
Although the prior art can improve the problem of poor network transmission reliability in the monitoring process of the power transmission line to a certain extent, certain defects still exist, for example, the monitoring data is transmitted fully between all layers, so that the whole processing system needs to bear the operating pressure of a large amount of video data transmission and has higher requirements on transmission bandwidth, and a large amount of data processing pressure needs to be borne by subsequently marking an abnormal operation time point of abnormal equipment in the huge video data, so that the overall efficiency is low, the data redundancy is high, and the timeliness is poor.
Disclosure of Invention
The invention aims to provide a method and a system for processing video monitoring data of a power transmission line, which aim to solve the technical problems of low monitoring efficiency, high data redundancy and poor timeliness caused by the fact that the whole processing system needs to bear the operating pressure and the data processing pressure of a large amount of video data transmission when the monitoring data is transmitted completely between all levels in the prior art.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
a method for processing video monitoring data of a power transmission line comprises the following steps:
step S1, recording the running image of the target equipment on the power transmission line in real time by using a video monitoring unit, and analyzing and obtaining a running abnormal data link representing the abnormal running condition of the target equipment on the power transmission line according to the running image;
step S2, performing calibration analysis on the operation state of the target equipment based on the abnormal operation data chain, and acquiring an abnormal equipment data chain for summarizing all the target equipment in abnormal operation;
and step S3, performing directional maintenance on the target equipment on the power transmission line based on the abnormal equipment data chain.
As a preferable scheme of the present invention, in step S1, the video monitoring unit includes a panoramic line patrol camera device disposed on a tower of the power transmission line, and the specific method for acquiring the abnormal operation data chain includes:
performing frame grid division on the operation image based on time sequence to generate a group of equipment operation static image frames containing target equipment operation information, and performing histogram analysis on all the equipment operation static image frames;
performing adjacent static degree analysis on a group of equipment running static image frames according to the result of the histogram analysis to obtain a group of equipment running abnormal static image frames containing target equipment abnormal running information;
and linking all the abnormal operation static image frames of the equipment one by one according to a time sequence to generate an abnormal operation data chain.
As a preferred embodiment of the present invention, the specific method for analyzing the neighboring static attitude includes:
sequentially calculating the similarity of running static image frames of adjacent equipment in the running abnormal data chain to form a static data chain, wherein the calculation formula of the similarity is as follows:
wherein I is the similarity value, X is a group of equipment operation static image frames,
，
is as followsi，jEach device runs a still image frame,
is that
And
is combined with the probability distribution function of
And
are respectively
And
the edge probability distribution function of (1);
calibrating all jumping nodes on the static data link, and selecting equipment running static image frames at two ends of all jumping nodes as abnormal running static image frames of the equipment;
the jumping node refers to a data node with the numerical value difference of adjacent nodes on the static data chain exceeding the similarity threshold.
As a preferable aspect of the present invention, in step S2, the method for performing calibration analysis on the operation state of the target device to obtain the abnormal device data chain includes:
performing target extraction on all the abnormal operation static image frames of the equipment on the abnormal operation data chain and calibrating all target equipment;
and studying and judging the operation data of all the calibrated target equipment and obtaining an abnormal equipment data chain representing the abnormal operation state of the target equipment.
As a preferred embodiment of the present invention, the specific method for extracting the target includes:
sequentially extracting all independent pixel blocks in the abnormal operation static image frame of the equipment based on pixel analysis, and synchronously extracting longitude and latitude data of the independent pixel blocks;
and marking all target equipment in the abnormal operation static image frame of the equipment according to the longitude and latitude data of the independent pixel block.
As a preferred scheme of the present invention, the specific method for generating the abnormal device data chain includes:
sequentially extracting continuous operation data of the target equipment based on the operation log, and drawing a continuous operation characteristic curve representing continuous operation characteristics of the target equipment according to a time sequence;
sequentially extracting abnormal operation data of the target equipment based on the operation log and according to the time sequence of the abnormal operation static image frame of the equipment, and drawing an abnormal operation characteristic curve representing the abnormal operation characteristic of the target equipment according to the time sequence;
and fitting the continuous operation characteristic curve and the abnormal operation characteristic curve with a coordinate system to obtain a total operation characteristic curve which can represent the continuous operation characteristic of the target equipment and can highlight the abnormal operation characteristic.
As a preferred scheme of the present invention, the specific method for generating the abnormal device data chain further includes:
and summarizing the total operating characteristic curves of all the target devices, and screening out all the total operating characteristic curves in a fluctuation form to serve as an abnormal device data chain.
As a preferable aspect of the present invention, a specific method for drawing the continuous operation characteristic curve and the abnormal operation characteristic curve includes:
fitting the continuous operation data point by point in a two-dimensional coordinate system to form a continuous operation characteristic curve, wherein the operation data of the target equipment is a vertical coordinate, and the time sequence is a horizontal coordinate;
and fitting the abnormal operation data point by point in a two-dimensional coordinate system to form an abnormal operation characteristic curve, wherein the operation data of the target equipment is a vertical coordinate, and the time sequence is a horizontal coordinate.
As a preferred aspect of the present invention, in step S3, the specific method for directionally maintaining the target device on the power transmission line includes:
sequentially carrying out electrical fault analysis on all total operation characteristic curves in the abnormal equipment data chain to obtain the reason of abnormal operation of the target equipment, and formulating a maintenance scheme according to the reason of the abnormal operation;
and performing directional maintenance on the target equipment according to the maintenance scheme.
As a preferred aspect of the present invention, the present invention provides a processing system according to the method for processing video monitoring data of a power transmission line, including:
the video monitoring unit is used for recording the running image of the target equipment on the power transmission line in real time;
the data processing unit is used for carrying out image and data processing on the running image to generate the abnormal equipment data chain;
and the equipment maintenance unit is used for directionally maintaining the target equipment on the power transmission line based on the abnormal equipment data chain.
Compared with the prior art, the invention has the following beneficial effects:
according to the method, the running image of the power transmission line is subjected to redundancy removal operation by sequentially utilizing histogram analysis and adjacent static degree analysis, only the static image frame containing the abnormal running condition of the equipment is reserved, compression of real-time running image data is realized, the data transmission pressure of the system is reduced, meanwhile, the target equipment in abnormal running can be obtained only by analyzing the running characteristics of all target equipment in the static image frame containing the abnormal running condition of the equipment, directional maintenance is realized by utilizing the running characteristics to make a maintenance scheme, the data operation pressure of the system is reduced, and finally the timeliness of monitoring the power transmission line is integrally improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flowchart of a method for processing video monitoring data of a power transmission line according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a static data chain according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a total operating characteristic provided by an embodiment of the present invention;
fig. 4 is a block diagram of a processing system according to an embodiment of the present invention.
The reference numerals in the drawings denote the following, respectively:
1-a video monitoring unit; 2-a data processing unit; 3-a device maintenance unit; 4, the equipment operates the static image frame; 5-a static data chain; 6, abnormal operation of the equipment for static image frames; 7-continuous operating characteristic curve; 8-abnormal operating characteristic curve; 9-Total operating characteristics.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-3, in the power transmission line monitoring process, a real-time shooting is generally adopted to record the running live-action video of the power transmission line, the running live-action video is subjected to real-time image scene analysis, and a large amount of data processing is adopted to capture the target equipment in an abnormal running state, so that the key of power transmission line monitoring is to obtain a static image containing abnormal running of the target equipment from real-time continuous live-action video images, the stable running of the target equipment of the power transmission line is a normal phenomenon in practice, and the abnormal running is an abnormal phenomenon and belongs to a small probability event, so that the running image of the target equipment of the power transmission line usually has a large amount of repeated contents and occupies a large amount of data transmission and processing resources, the invention provides a power transmission line video monitoring data processing method, which can realize redundancy removal of the repeated contents of the running image, meanwhile, images containing key monitoring contents such as target equipment which abnormally operates and the like are left, and the operation and transmission pressure is reduced.
A method for processing video monitoring data of a power transmission line comprises the following steps:
as shown in fig. 1 and 2, step S1, recording an operation image of the target device on the power line in real time by using the video monitoring unit, and analyzing the operation image to obtain an operation abnormal data link representing an abnormal operation condition of the target device on the power line;
in step S1, the video monitoring unit includes a panoramic line patrol camera device disposed on a power transmission line tower, and the specific method for acquiring the abnormal operation data chain includes:
wherein, panorama patrols line camera device includes but not limited to unmanned aerial vehicle patrols line camera device or other parts that have the same function.
Performing frame grid division on the running image based on time sequence to generate a group of equipment running static image frames containing running information of target equipment, and performing histogram analysis on all the equipment running static image frames;
the frame grid division divides the continuous video into a set of still videos in units of one frame, which is the smallest visual unit visible to the human eye and can be used as a histogram analysis.
Performing adjacent static degree analysis on a group of equipment running static image frames according to the result of the histogram analysis to obtain a group of equipment running abnormal static image frames containing abnormal running information of the target equipment;
when the image similarity is compared, a histogram analysis method is adopted, the image similarity is high when the pixel consistency is high, complex operations such as image identification are not involved, the image comparison speed is high, the image comparison precision is high, and the effect is better under the condition that the static image frame data amount of equipment in operation is large.
And linking all the abnormal running static image frames of the equipment one by one according to a time sequence to generate a running abnormal data chain.
The specific method for analyzing the adjacent static attitude comprises the following steps:
sequentially calculating the similarity of running static image frames of adjacent equipment in the running abnormal data chain to form a static data chain, wherein the calculation formula of the similarity is as follows:
wherein I is the similarity value, X is a group of equipment operation static image frames,
，
is as followsi，jEach device runs a still image frame,
is that
And
is combined with the probability distribution function of
And
are respectively
And
the edge probability distribution function of (1);
calibrating all jumping nodes on the static data link, and selecting equipment running static image frames at two ends of all jumping nodes as abnormal running static image frames of the equipment;
the jumping node refers to a data node with the numerical value difference of adjacent nodes on the static data chain exceeding the similarity threshold.
The similarity represents the similarity between the running static image frames of adjacent equipment, the higher the numerical value, the higher the similarity, namely the dimension reduction of the running static image frames of the adjacent equipment is represented by the running static image frames of any equipment, therefore, the similarity between the running static image frames of the adjacent equipment forms a static data chain, the running static image frames of the adjacent equipment corresponding to all data nodes on a gentle curve in the static data chain have consistent similarity, the running static image frames of one equipment corresponding to all data nodes on the gentle curve can be randomly selected to represent the dimension reduction of the running static image frames of the variable equipment, the running static image frames of the adjacent equipment corresponding to a jump node on the static data chain have inconsistent similarity, namely the running data in the running static image frames of the adjacent equipment changes violently and comprises the real scene of abnormal running of target equipment, therefore, the running static image frames of the adjacent equipment are reserved as the abnormal running static image frames of the equipment, and the running abnormal data chain formed by linking the abnormal running static image frames of all the equipment reflects all the abnormal running node frames of the target equipment and can be used for analyzing the abnormal running characteristics of the target equipment.
As shown in fig. 3, step S2, performing calibration analysis on the operation state of the target device based on the operation abnormal data chain, and obtaining an abnormal device data chain summarizing all the target devices in abnormal operation;
in step S2, the method for performing calibration analysis on the operation state of the target device to obtain the abnormal device data chain includes:
performing target extraction on all the abnormal operation static image frames of the equipment on the abnormal operation data chain and calibrating all target equipment;
and studying and judging the operation data of all the calibrated target equipment and obtaining an abnormal equipment data chain representing the abnormal operation state of the target equipment.
The specific method for extracting the target comprises the following steps:
sequentially extracting all independent pixel blocks in the static image frame of the abnormal operation of the equipment based on pixel analysis, and synchronously extracting longitude and latitude data of the independent pixel blocks;
and marking all target equipment in the abnormal operation static image frame of the equipment according to the longitude and latitude data of the independent pixel blocks.
The target equipment is in the form of independent block pixels in the abnormal running static image frame of the equipment, so that all the independent pixel blocks on the power transmission line can be extracted by using a target extraction and analysis algorithm to obtain the target equipment, then the longitude and latitude data of the independent pixel blocks on the abnormal running static image frame of the equipment is extracted, and the real target equipment is calibrated on the real power transmission line by using the longitude and latitude data.
Before this, at first need gather transmission line shaft tower's longitude and latitude information, utilize transmission line construction rule quick automatic check-up shaft tower longitude and latitude information, specifically be: 1) setting a longitude and latitude coordinate set of a line corridor according to line design planning, and ensuring that the longitude and latitude coordinates of a line tower are in the line corridor; 2) the distance between adjacent towers is not more than 2000 m; 3) the tower rotation angle among three continuous towers does not exceed 90 degrees.
The longitude and latitude information on the real power transmission line is utilized to correspondingly calibrate the power transmission line on the static image frame of the abnormal operation of the equipment according to the reduction ratio between the longitude and latitude information and the latitude information, so that the longitude and latitude information on the static image frame of the abnormal operation of the equipment can be converted into the longitude and latitude information on the real power transmission line to find out the real target equipment.
By acquiring and maintaining the longitude and latitude information of the power transmission line tower and matching the longitude and latitude information with the longitude and latitude information contained in the image data acquired by the online monitoring system of the power transmission line video, the tower and related equipment related to the image data are determined, automatic association of the image data and other monitoring information of the equipment is realized, the timeliness of the utilization of the power transmission line video monitoring data is improved, and the effect of the power transmission line video monitoring data in the equipment state evaluation is improved.
The above steps can acquire all target devices in a static image frame of abnormal operation of the device, and only one part of the target devices is in abnormal operation, and the other part is in normal operation, and the specific method for extracting the target devices in abnormal operation from all the target devices is as follows:
the specific method for generating the abnormal equipment data chain comprises the following steps:
sequentially extracting continuous operation data of the target equipment based on the operation log, and drawing a continuous operation characteristic curve representing continuous operation characteristics of the target equipment according to a time sequence;
sequentially extracting abnormal operation data of the target equipment based on the operation log and according to the time sequence of the abnormal operation static image frame of the equipment, and drawing an abnormal operation characteristic curve representing the abnormal operation characteristic of the target equipment according to the time sequence;
and fitting the continuous operation characteristic curve and the abnormal operation characteristic curve with a coordinate system to obtain a total operation characteristic curve which can represent the continuous operation characteristic of the target equipment and can highlight the abnormal operation characteristic.
The continuous operation characteristic curve is a quantitative representation of continuous operation characteristics of the target equipment, the abnormal operation characteristic curve is a quantitative representation of abnormal operation characteristics of the target equipment, the abnormal operation characteristic curve only comprises data of a plurality of equipment abnormal operation static image frames, but the abnormal operation characteristic curve is only fit according to the data of the plurality of equipment abnormal operation static image frames, and the fitting accuracy is poor; the continuous operation characteristic curve has enough data for fitting the continuous operation characteristic curve representing the continuous operation characteristic of the target equipment, but the details of the key characteristic are difficult to display, so the continuous operation characteristic curve and the abnormal operation characteristic curve are combined to obtain enough data and obtain abnormal operation characteristic data at the same time, the data are used for fitting a total operation characteristic curve which can represent the continuous operation characteristic of the target equipment and can highlight the abnormal operation characteristic, the abnormal state of the target equipment is analyzed on the basis of the total operation characteristic curve, a maintenance scheme is formulated, and the accuracy is higher.
The specific method for generating the abnormal device data chain further comprises the following steps:
and summarizing the total operating characteristic curves of all the target devices, and screening out all the operating characteristic curves in a fluctuation form to serve as an abnormal device data chain.
The fluctuation form means that the total operation characteristic curve of the target equipment is in irregular fluctuation, and the irregular fluctuation means that abnormal points appear in the operation data of the target equipment, so that the target equipment which is considered to be in abnormal operation can be extracted.
The specific method for drawing the continuous operation characteristic curve and the abnormal operation characteristic curve comprises the following steps:
fitting the continuous operation data point by point in a two-dimensional coordinate system to form a continuous operation characteristic curve, wherein the operation data of the target equipment is a vertical coordinate, and the time sequence is a horizontal coordinate;
and fitting the abnormal operation data point by point in a two-dimensional coordinate system to form an abnormal operation characteristic curve, wherein the operation data of the target equipment is a vertical coordinate, and the time sequence is a horizontal coordinate.
And step S3, performing directional maintenance on the target equipment on the power transmission line based on the abnormal equipment data chain.
In step S3, the specific method for directionally maintaining the target device on the power transmission line includes:
sequentially carrying out electrical fault analysis on all the total operation characteristic curves in the abnormal equipment data chain to obtain the reason of the abnormal operation of the target equipment, and formulating a maintenance scheme according to the reason of the abnormal operation;
and carrying out directional maintenance on the target equipment according to the maintenance scheme.
As shown in fig. 4, based on the above method for processing video monitoring data of a power transmission line, the present invention provides a processing system, including:
the video monitoring unit 1 is used for recording the running image of the target equipment on the power transmission line in real time;
the data processing unit 2 is used for processing images and data of the running images to generate an abnormal equipment data chain;
and the equipment maintenance unit 3 is used for performing directional maintenance on the target equipment on the power transmission line based on the abnormal equipment data chain.
According to the method, the running image of the power transmission line is subjected to redundancy removal operation by sequentially utilizing histogram analysis and adjacent static degree analysis, only the static image frame containing the abnormal running condition of the equipment is reserved, compression of real-time running image data is realized, the data transmission pressure of the system is reduced, meanwhile, the target equipment in abnormal running can be obtained only by analyzing the running characteristics of all target equipment in the static image frame containing the abnormal running condition of the equipment, directional maintenance is realized by utilizing the running characteristics to make a maintenance scheme, the data operation pressure of the system is reduced, and finally the timeliness of monitoring the power transmission line is integrally improved.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (5)
1. A method for processing video monitoring data of a power transmission line is characterized by comprising the following steps:
step S1, recording the running image of the target equipment on the power transmission line in real time by using a video monitoring unit, and analyzing and obtaining a running abnormal data link representing the abnormal running condition of the target equipment on the power transmission line according to the running image;
step S2, performing calibration analysis on the operation state of the target equipment based on the abnormal operation data chain, and acquiring an abnormal equipment data chain for summarizing all the target equipment in abnormal operation;
step S3, performing directional maintenance on the target equipment on the power transmission line based on the abnormal equipment data chain;
in step S1, the video monitoring unit includes a panoramic line patrol camera device disposed on a tower of the power transmission line, and the specific method for acquiring the abnormal operation data chain includes:
performing frame grid division on the operation image based on time sequence to generate a group of equipment operation static image frames containing target equipment operation information, and performing histogram analysis on all the equipment operation static image frames;
performing adjacent static degree analysis on a group of equipment running static image frames according to the result of the histogram analysis to obtain a group of equipment running abnormal static image frames containing target equipment abnormal running information;
linking all the abnormal operation static image frames of the equipment one by one according to a time sequence to generate an abnormal operation data chain;
the specific method for analyzing the adjacent static attitude comprises the following steps:
sequentially calculating the similarity of running static image frames of adjacent equipment in the running abnormal data chain to form a static data chain;
calibrating all jumping nodes on the static data link, and selecting equipment running static image frames at two ends of all jumping nodes as abnormal running static image frames of the equipment;
the jumping node is a data node with the numerical value difference of adjacent nodes on the static attitude data chain exceeding a similarity threshold;
in step S2, the method for performing calibration analysis on the operation state of the target device to obtain the abnormal device data chain includes:
performing target extraction on all the abnormal operation static image frames of the equipment on the abnormal operation data chain and calibrating all target equipment;
studying and judging the operation data of all the calibrated target equipment and obtaining an abnormal equipment data chain representing the abnormal operation state of the target equipment;
the specific method for extracting the target comprises the following steps:
sequentially extracting all independent pixel blocks in the abnormal operation static image frame of the equipment based on pixel analysis, and synchronously extracting longitude and latitude data of the independent pixel blocks;
marking all target devices in the abnormal operation static image frame of the device according to the longitude and latitude data of the independent pixel block;
the specific method for generating the abnormal device data chain comprises the following steps:
sequentially extracting continuous operation data of the target equipment based on the operation log, and drawing a continuous operation characteristic curve representing continuous operation characteristics of the target equipment according to a time sequence;
sequentially extracting abnormal operation data of the target equipment based on the operation log and according to the time sequence of the abnormal operation static image frame of the equipment, and drawing an abnormal operation characteristic curve representing the abnormal operation characteristic of the target equipment according to the time sequence;
and fitting the continuous operation characteristic curve and the abnormal operation characteristic curve with a coordinate system to obtain a total operation characteristic curve which can represent the continuous operation characteristic of the target equipment and can highlight the abnormal operation characteristic.
2. The method for processing the video monitoring data of the power transmission line according to claim 1, wherein the specific method for generating the abnormal device data chain further comprises:
and summarizing the total operating characteristic curves of all the target devices, and screening out all the total operating characteristic curves in a fluctuation form to serve as an abnormal device data chain.
3. The method for processing the video monitoring data of the power transmission line according to claim 2, wherein the specific method for drawing the continuous operation characteristic curve and the abnormal operation characteristic curve comprises the following steps:
fitting the continuous operation data point by point in a two-dimensional coordinate system to form a continuous operation characteristic curve, wherein the operation data of the target equipment is a vertical coordinate, and the time sequence is a horizontal coordinate;
and fitting the abnormal operation data point by point in a two-dimensional coordinate system to form an abnormal operation characteristic curve, wherein the operation data of the target equipment is a vertical coordinate, and the time sequence is a horizontal coordinate.
4. The method for processing video monitoring data of power transmission line according to claim 3, wherein in step S3, the specific method for directionally maintaining the target device on the power transmission line includes:
sequentially carrying out electrical fault analysis on all total operation characteristic curves in the abnormal equipment data chain to obtain the reason of abnormal operation of the target equipment, and formulating a maintenance scheme according to the reason of the abnormal operation;
and performing directional maintenance on the target equipment according to the maintenance scheme.
5. The processing system of the transmission line video monitoring data processing method according to any one of claims 1 to 4, characterized by comprising:
the video monitoring unit (1) is used for recording the running image of the target equipment on the power transmission line in real time;
the data processing unit (2) is used for carrying out image and data processing on the running image to generate the abnormal equipment data chain;
and the equipment maintenance unit (3) is used for carrying out directional maintenance on the target equipment on the power transmission line based on the abnormal equipment data chain.
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| CN113537528B (en) * | 2021-07-28 | 2022-05-03 | 贵州电网有限责任公司 | Preprocessing method and system for state monitoring data of power transmission and transformation equipment |
| CN113554360A (en) * | 2021-09-22 | 2021-10-26 | 广东电网有限责任公司东莞供电局 | Power transmission line running state visual management method and system and storage medium |
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