CN117274177A - Power transmission line external damage prevention method and device based on image recognition - Google Patents

Power transmission line external damage prevention method and device based on image recognition Download PDF

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CN117274177A
CN117274177A CN202311164174.7A CN202311164174A CN117274177A CN 117274177 A CN117274177 A CN 117274177A CN 202311164174 A CN202311164174 A CN 202311164174A CN 117274177 A CN117274177 A CN 117274177A
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risk
external damage
target
target risk
image
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陈文涛
丁杨
林孟豪
杨书文
刘姜
宋辉
刘卫新
董文娟
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Xinjiang Nor West Star Information Technology Co ltd
Xinjiang Power Transmission And Distribution Co ltd
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
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Xinjiang Nor West Star Information Technology Co ltd
Xinjiang Power Transmission And Distribution Co ltd
Electric Power Research Institute of State Grid Xinjiang Electric Power Co Ltd
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Priority to CN202311164174.7A priority Critical patent/CN117274177A/en
Publication of CN117274177A publication Critical patent/CN117274177A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/254Analysis of motion involving subtraction of images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning

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Abstract

The invention discloses an external damage prevention method and device for a power transmission line based on image recognition, wherein the method comprises the following steps: image preprocessing is carried out on the acquired plurality of external damage risk images to obtain a first target risk image sequence; detecting the first target risk image sequence based on a preset risk detection model to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence; if so, updating the first target risk image sequence to obtain a second target risk image sequence; judging whether the position variation of the external damage risk sources of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not; if the preset threshold value is reached, an external damage prevention early warning signal is sent. Because the risk source of the external damage of the power transmission line is not required to be identified in a manual inspection mode, the labor and time cost can be saved.

Description

Power transmission line external damage prevention method and device based on image recognition
Technical Field
The invention belongs to the technical field of power transmission line identification, and particularly relates to a power transmission line external damage prevention method and device based on image identification.
Background
The overhead transmission line is the most main and most extensive power transmission mode adopted at present, and the stable operation of the transmission line plays a decisive role in the power supply state of users. The invasion damage of foreign matters is the most main cause of the damage of the transmission line, so that the research on the method for preventing the damage of the transmission line has very important significance.
At present, the method for coping with the external damage of the overhead transmission line mainly comprises manual regular inspection, monitoring and alarming by using sensors such as infrared and the like. The manual inspection mode needs to consume a great deal of manpower and time, and various sensors are easily interfered by various external factors, so that the accuracy is low. In addition to the above method, video and image monitoring is gradually used for monitoring hidden danger of external damage of the transmission line, but the problems of poor performance when facing complex scenes still exist due to manual identification.
Disclosure of Invention
The invention provides an external damage prevention method and device for a power transmission line based on image recognition, which are used for solving the technical problem that the risk of external damage of the power transmission line is difficult to accurately and rapidly recognize in the prior art.
In a first aspect, the present invention provides an external damage prevention method for a power transmission line based on image recognition, including:
acquiring a plurality of external damage risk images in a preset time period, and performing image preprocessing on the acquired external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence;
detecting the first target risk image sequence based on a preset risk detection model to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
if at least one target risk image containing an external damage risk source exists in the first target risk image sequence, updating the first target risk image sequence to obtain a second target risk image sequence, wherein the second target risk image sequence only contains a plurality of target risk images containing the external damage risk source which are arranged based on time sequence;
judging whether the position variation of the external damage risk source of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not, wherein the position variation is the distance variation of the external damage risk source and a power transmission line;
and if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, sending an external damage prevention early warning signal.
In a second aspect, the present invention provides an apparatus for preventing an external damage to a power transmission line based on image recognition, including:
the preprocessing module is configured to acquire a plurality of external damage risk images in a preset time period, and perform image preprocessing on the acquired external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence;
the detection module is configured to detect the first target risk image sequence based on a preset risk detection model so as to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
the updating module is configured to update the first target risk image sequence to obtain a second target risk image sequence if at least one target risk image containing an external damage risk source exists in the first target risk image sequence, wherein the second target risk image sequence only contains a plurality of target risk images containing the external damage risk source arranged based on time sequence;
the judging module is configured to judge whether the position variation of the external damage risk source of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not, wherein the position variation is the distance variation of the external damage risk source and the power transmission line;
the sending module is configured to send an external damage prevention early warning signal if the position variation of the external damage risk sources of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value.
In a third aspect, there is provided an electronic device, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the transmission line anti-external damage method based on image recognition according to any of the embodiments of the invention.
In a fourth aspect, the present invention also provides a computer readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to execute the steps of the method for preventing an external damage of a power transmission line based on image recognition according to any embodiment of the present invention.
According to the method and device for preventing the external damage of the power transmission line based on image recognition, the external damage risk data set is firstly adopted to train the preset risk detection model so as to obtain the target risk detection model, and then the risk detection model obtained through training is adopted to detect whether the external damage risk source exists in the real-time risk image, namely the external damage risk source of the power transmission line is automatically recognized. The risk source of the external damage of the power transmission line is identified in a manual inspection-free mode, so that labor and time cost can be saved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for preventing an external damage of a power transmission line based on image recognition according to an embodiment of the present invention;
fig. 2 is a block diagram of a transmission line external damage prevention device based on image recognition according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of an external damage prevention method for a power transmission line based on image recognition is shown.
As shown in fig. 1, the method for preventing the external damage of the power transmission line based on image recognition specifically comprises the following steps:
step S101, a plurality of external damage risk images are obtained in a preset time period, and image preprocessing is carried out on the plurality of collected external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence.
In the step, after a plurality of external damage risk images are acquired within a preset time period, filtering processing is carried out on each external damage risk image by adopting a Gaussian filtering method, so as to obtain a plurality of filtering risk images; performing contrast processing on each filtering risk image by adopting a histogram equalization method to obtain a plurality of preset risk images; and performing image enhancement processing on each preset risk image to obtain a target risk image sequence.
Step S102, detecting the first target risk image sequence based on a preset risk detection model, so as to determine whether at least one target risk image including an external damage risk source exists in the first target risk image sequence.
In the step, firstly, image preprocessing is carried out on a plurality of collected external damage risk images to obtain a plurality of target risk images, and a plurality of target risk images and label information corresponding to the target risk images form an external damage risk data set; then, training a preset risk detection model by adopting an external risk data set until a preset condition is met to obtain a target risk detection model; and finally, inputting the real-time risk images into the risk detection model, and detecting whether external damage risk sources exist in each target risk image in the first target risk image sequence. In the scheme, an external damage risk data set is adopted firstly, a preset risk detection model is trained to obtain a target risk detection model, and then the risk detection model obtained through training is adopted to detect whether an external damage risk source exists in a real-time risk image, namely the external damage risk source of the power transmission line is automatically identified. The risk source of the external damage of the power transmission line is identified in a manual inspection-free mode, so that labor and time cost can be saved.
In a specific embodiment, if at least one target risk image including an external damage risk source does not exist in the first target risk image sequence, a plurality of external damage risk images are acquired in a next preset time period, and image preprocessing is performed on the acquired plurality of external damage risk images.
Step S103, if at least one target risk image including an external damage risk source exists in the first target risk image sequence, updating the first target risk image sequence to obtain a second target risk image sequence, where the second target risk image sequence includes only a plurality of target risk images including external damage risk sources arranged based on a time sequence.
Step S104, judging whether the position variation of the external damage risk source of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, wherein the position variation is the distance variation of the external damage risk source and the power transmission line.
In the step, after judging whether the position variation of the external damage risk sources of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold, if the position variation of the external damage risk sources of two adjacent target risk images in the second target risk image sequence is not larger than the preset threshold, acquiring a plurality of external damage risk images in the next preset time period, and performing image preprocessing on the acquired plurality of external damage risk images.
Step S105, if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is greater than a preset threshold, sending an external damage prevention early warning signal.
If the position variation of the external damage risk source of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, calculating the target distance between the external damage risk source in a certain target risk image and the power transmission line, and judging whether the target distance is larger than a distance threshold value, wherein the certain target risk image is a target risk image corresponding to the nearest moment in the two adjacent target risk images; if the target distance is greater than the distance threshold, taking the target distance corresponding to one target risk image as a standard distance, and sending an external damage prevention early warning signal under the condition that the target distance in the other target risk image is smaller than the standard distance.
Specifically, if the target distance is not greater than the distance threshold, directly sending an external damage prevention early warning signal.
In summary, according to the method, the external risk data set is adopted first, the preset risk detection model is trained to obtain the target risk detection model, and then the risk detection model obtained through training is adopted to detect whether the external risk source exists in the real-time risk image, namely, the external risk source of the power transmission line is automatically identified. The risk source of the external damage of the power transmission line is identified in a manual inspection-free mode, so that labor and time cost can be saved.
Referring to fig. 2, a block diagram of an apparatus for preventing an external damage of a power transmission line based on image recognition is shown.
As shown in fig. 2, the transmission line anti-external damage device 200 includes a preprocessing module 210, a detection module 220, an updating module 230, a judging module 240, and a transmitting module 250.
The preprocessing module 210 is configured to acquire a plurality of external damage risk images within a preset time period, and perform image preprocessing on the acquired plurality of external damage risk images to obtain a first target risk image sequence, where the first target risk image sequence includes a plurality of target risk images arranged based on a time sequence; the detection module 220 is configured to detect the first target risk image sequence based on a preset risk detection model, so as to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
the updating module 230 is configured to update the first target risk image sequence to obtain a second target risk image sequence, where the second target risk image sequence only includes a plurality of target risk images including external damage risk sources arranged based on a time sequence, if at least one target risk image including external damage risk sources exists in the first target risk image sequence; the judging module 240 is configured to judge whether the position variation of the external broken risk source of the two adjacent target risk images in the second target risk image sequence is greater than a preset threshold, where the position variation is the distance variation between the external broken risk source and the power transmission line; the sending module 250 is configured to send an external damage prevention early warning signal if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is greater than a preset threshold.
It should be understood that the modules depicted in fig. 2 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are equally applicable to the modules in fig. 2, and are not described here again.
In other embodiments, the present invention further provides a computer readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to perform the method for preventing external damage of a power transmission line based on image recognition in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
acquiring a plurality of external damage risk images in a preset time period, and performing image preprocessing on the acquired external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence;
detecting the first target risk image sequence based on a preset risk detection model to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
if at least one target risk image containing an external damage risk source exists in the first target risk image sequence, updating the first target risk image sequence to obtain a second target risk image sequence, wherein the second target risk image sequence only contains a plurality of target risk images containing the external damage risk source which are arranged based on time sequence;
judging whether the position variation of the external damage risk source of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not, wherein the position variation is the distance variation of the external damage risk source and a power transmission line;
and if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, sending an external damage prevention early warning signal.
The computer readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the transmission line anti-external damage device based on image recognition, or the like. In addition, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer readable storage medium optionally includes a memory remotely located with respect to the processor, the remote memory being connectable to the image recognition based transmission line anti-vandalism device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 3, where the device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 may be connected by a bus or other means, for example in fig. 3. Memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory 320, that is, implements the method for preventing external damage of the power transmission line based on image recognition in the above method embodiment. The input device 330 may receive input numerical or character information and generate key signal inputs related to user settings and function controls of the transmission line anti-vandalism device based on image recognition. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
As an implementation manner, the electronic device is applied to an external damage prevention device for a power transmission line based on image recognition, and is used for a client, and includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
acquiring a plurality of external damage risk images in a preset time period, and performing image preprocessing on the acquired external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence;
detecting the first target risk image sequence based on a preset risk detection model to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
if at least one target risk image containing an external damage risk source exists in the first target risk image sequence, updating the first target risk image sequence to obtain a second target risk image sequence, wherein the second target risk image sequence only contains a plurality of target risk images containing the external damage risk source which are arranged based on time sequence;
judging whether the position variation of the external damage risk source of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not, wherein the position variation is the distance variation of the external damage risk source and a power transmission line;
and if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, sending an external damage prevention early warning signal.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the various embodiments or methods of some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. An external damage prevention method for a power transmission line based on image recognition is characterized by comprising the following steps:
acquiring a plurality of external damage risk images in a preset time period, and performing image preprocessing on the acquired external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence;
detecting the first target risk image sequence based on a preset risk detection model to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
if at least one target risk image containing an external damage risk source exists in the first target risk image sequence, updating the first target risk image sequence to obtain a second target risk image sequence, wherein the second target risk image sequence only contains a plurality of target risk images containing the external damage risk source which are arranged based on time sequence;
judging whether the position variation of the external damage risk source of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not, wherein the position variation is the distance variation of the external damage risk source and a power transmission line;
and if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, sending an external damage prevention early warning signal.
2. The method for preventing external damage to a power transmission line based on image recognition according to claim 1, wherein the performing image preprocessing on the acquired plurality of external damage risk images to obtain a plurality of target risk images comprises:
filtering each of the outer broken risk images by adopting a Gaussian filtering method to obtain a plurality of filtered risk images;
performing contrast processing on each filtering risk image by adopting a histogram equalization method to obtain a plurality of preset risk images;
and performing image enhancement processing on each preset risk image to obtain the target risk image sequence.
3. The method for preventing an external damage to a power transmission line based on image recognition according to claim 1, wherein after detecting the first target risk image sequence based on a preset risk detection model to determine whether at least one target risk image including an external damage risk source exists in the first target risk image sequence, the method further comprises:
if at least one target risk image containing an external damage risk source does not exist in the first target risk image sequence, a plurality of external damage risk images are acquired in the next preset time period, and image preprocessing is carried out on the acquired plurality of external damage risk images.
4. The method for preventing an external damage to a power transmission line based on image recognition according to claim 1, wherein after determining whether the position variation of the external damage risk source of two adjacent target risk images in the second target risk image sequence is greater than a preset threshold, the method further comprises:
if the position variation of the external damage risk sources of the two adjacent target risk images in the second target risk image sequence is not greater than a preset threshold, acquiring a plurality of external damage risk images in the next preset time period, and performing image preprocessing on the acquired plurality of external damage risk images.
5. The method for preventing external damage to a power transmission line based on image recognition according to claim 1, wherein if the position variation of the external damage risk sources of two adjacent target risk images in the second target risk image sequence is greater than a preset threshold, sending an external damage prevention early warning signal comprises:
if the position variation of the external damage risk source of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value, calculating the target distance between the external damage risk source in a certain target risk image and the power transmission line, and judging whether the target distance is larger than a distance threshold value, wherein the certain target risk image is a target risk image corresponding to the moment closest to the current moment in the two adjacent target risk images;
and if the target distance is greater than the distance threshold, taking the target distance corresponding to one target risk image as a standard distance, and sending an external damage prevention early warning signal under the condition that the target distance in the other target risk image is smaller than the standard distance.
6. The method for preventing external damage to the power transmission line based on image recognition according to claim 1, wherein the risk detection model is constructed based on YOLOv 5.
7. The method for preventing external damage to a power transmission line based on image recognition according to claim 1, wherein the external damage risk source comprises heavy mechanical damage, foreign matter short circuit damage and/or artificial activity damage.
8. An external damage prevention device for a power transmission line based on image recognition, which is characterized by comprising:
the preprocessing module is configured to acquire a plurality of external damage risk images in a preset time period, and perform image preprocessing on the acquired external damage risk images to obtain a first target risk image sequence, wherein the first target risk image sequence comprises a plurality of target risk images arranged based on time sequence;
the detection module is configured to detect the first target risk image sequence based on a preset risk detection model so as to determine whether at least one target risk image containing an external damage risk source exists in the first target risk image sequence;
the updating module is configured to update the first target risk image sequence to obtain a second target risk image sequence if at least one target risk image containing an external damage risk source exists in the first target risk image sequence, wherein the second target risk image sequence only contains a plurality of target risk images containing the external damage risk source arranged based on time sequence;
the judging module is configured to judge whether the position variation of the external damage risk source of the two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value or not, wherein the position variation is the distance variation of the external damage risk source and the power transmission line;
the sending module is configured to send an external damage prevention early warning signal if the position variation of the external damage risk sources of two adjacent target risk images in the second target risk image sequence is larger than a preset threshold value.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any of claims 1 to 7.
CN202311164174.7A 2023-09-11 2023-09-11 Power transmission line external damage prevention method and device based on image recognition Pending CN117274177A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117789131A (en) * 2024-02-18 2024-03-29 广东电网有限责任公司广州供电局 Risk monitoring method, risk monitoring device, risk monitoring equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117789131A (en) * 2024-02-18 2024-03-29 广东电网有限责任公司广州供电局 Risk monitoring method, risk monitoring device, risk monitoring equipment and storage medium

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