CN117630912A - Power transmission line channel hidden danger target discovery and identification system and method - Google Patents
Power transmission line channel hidden danger target discovery and identification system and method Download PDFInfo
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Abstract
The invention provides a system and a method for discovering and identifying hidden danger targets of a transmission line channel, wherein the system comprises the following steps: the millimeter wave radar is used for monitoring hidden danger points around the transmission line channel in real time, sending hidden danger point coordinates to the monitoring device after the hidden danger points are monitored, and continuously tracking the hidden danger points; the monitoring device is used for photographing the hidden danger points according to hidden danger point coordinates, marking hidden danger areas of hidden danger point images, and judging whether the hidden danger points are hidden danger targets according to the hidden danger point coordinates uploaded by the millimeter wave radar in real time; if the potential hazard target is the potential hazard target, sending an alarm signal, acquiring the information of the potential hazard target, carrying out local storage, and uploading the information of the potential hazard target to a platform server; and the platform server is used for displaying hidden danger target information in real time. According to the invention, the monitoring device is fused with the millimeter wave radar to monitor and identify the hidden danger target, so that the accuracy and response speed of hidden danger target monitoring are improved.
Description
Technical Field
The invention relates to the technical field of power transmission line image recognition, in particular to a power transmission line channel hidden danger target discovery recognition system and method.
Background
The transmission line is an important component of the power grid and plays an important role in delivering and distributing electric energy and connecting the power grid. The hidden trouble problem of the transmission line channel is also various under the influence of human and natural conditions. The external damage is a main factor of various defects and hidden dangers of the transmission line channel, so that the hidden dangers of the transmission line channel are monitored, and the key is to monitor equipment, people and other hidden dangers around the transmission line channel in real time.
At present, aiming at the monitoring and identification of hidden danger targets, a front-end equipment high-resolution camera is generally used for researching and developing a designed power transmission line monitoring device based on a deep learning image identification algorithm, so that the problems of high manual inspection operation intensity, low operation and maintenance efficiency and the like can be solved, hidden danger alarm accuracy and processing efficiency are improved, hidden danger targets in a power transmission line channel can be identified in time, and the reliability and stability of the power transmission line are ensured.
However, with the wide-range application of the visualization device, the defects that devices such as a camera are easily affected by light, hidden danger misjudgment is caused by lack of distance information, and the situation of misinformation exists in the demarcation of an image such as near-large-far-small, the accuracy of intelligent identification of the visualization device is reduced, meanwhile, the device is constrained in the aspects of standby time and power consumption, the photographing interval is set longer, hidden danger identification response is slow, and the like are gradually displayed.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a system and a method for discovering and identifying hidden danger targets of a transmission line channel, which are used for monitoring and identifying hidden danger targets by fusing a monitoring device with a millimeter wave radar, so that the accuracy and response speed of hidden danger target monitoring are improved.
The invention aims to achieve the aim, and the aim is achieved by the following technical scheme: a hidden danger target discovery and identification system for a transmission line channel comprises: the system comprises a monitoring device, a millimeter wave radar and a platform server; the monitoring device and the millimeter wave radar are fixedly arranged on a transmission line channel, the monitoring device is connected with the millimeter wave radar, and the monitoring device is connected with the platform server through a wireless network; the millimeter wave radar is used for monitoring hidden danger points around the transmission line channel in real time, sending hidden danger point coordinates to the monitoring device after the hidden danger points are monitored, and continuously tracking the hidden danger points; the monitoring device is used for photographing the hidden danger points according to hidden danger point coordinates, marking hidden danger areas of hidden danger point images, and judging whether the hidden danger points are hidden danger targets according to the hidden danger point coordinates uploaded by the millimeter wave radar in real time; if the potential hazard target is the potential hazard target, sending an alarm signal, acquiring the information of the potential hazard target, carrying out local storage, and uploading the information of the potential hazard target to a platform server; and the platform server is used for displaying hidden danger target information in real time.
Further, the monitoring device includes: the device comprises a power supply module, a core processor module, a camera module, a wireless communication module, an alarm module and a hidden danger target library; the core processor module is respectively connected with the camera module, the wireless communication module, the alarm module and the hidden danger target library, the power supply module is electrically connected with the core processor module, the wireless communication module is connected with the platform server through a wireless network, the core processor module is connected with the millimeter wave radar data, and the power supply module is electrically connected with the millimeter wave radar.
The core processor module is used for acquiring hidden danger point coordinates uploaded by the millimeter wave radar, controlling the camera module to acquire hidden danger point images according to the hidden danger point coordinates, marking hidden danger areas of the hidden danger point images, and judging whether the hidden danger points are hidden danger targets or not through comparison with the hidden danger point coordinates; if the potential hazard target is the potential hazard target, the control alarm module sends an alarm signal, potential hazard target information is stored in a potential hazard target library, and the potential hazard target information is uploaded to the platform server through the wireless communication module.
Further, the hidden trouble target information includes: line information, predicted external broken point positions of a power transmission line, the number of hidden danger points, the distance between the hidden danger points and the power transmission line, the moving speed of the hidden danger points, hidden danger point position information and alarm area information.
Correspondingly, the invention discloses a method for discovering and identifying hidden danger targets of a transmission line channel, which comprises the following steps:
acquiring millimeter wave radar installation information, monitoring device installation information and internal parameters of a camera module arranged in the monitoring device;
unifying measured value coordinates of the millimeter wave radar and the monitoring device according to the acquired information;
actively monitoring hidden danger points through a millimeter wave radar, and uploading hidden danger point coordinates to a monitoring device after the hidden danger points are monitored;
controlling a camera module to collect hidden danger point images according to hidden danger point coordinates, and generating hidden danger point images;
the hidden danger area marking is carried out on the hidden danger point image through an intelligent recognition function;
comparing the hidden danger area with hidden danger point coordinates to judge whether the hidden danger point is a hidden danger target or not;
when the hidden danger point is judged to be a hidden danger target, performing on-site early warning, sorting and storing hidden danger target information, and uploading the hidden danger target information to a platform server;
and displaying hidden danger target information in real time by using a platform server.
Further, the millimeter wave radar installation information includes: radar attitude angle, horizontal deviation of the power tower insulator and the millimeter wave radar, and height deviation of the power tower insulator and the millimeter wave radar.
Further, monitor device installation information, including: and the attitude angle of the monitoring device and the offset of the monitoring device relative to the three-dimensional coordinate of the radar.
Further, internal parameters of the camera module include: the X-axis and Y-axis focal lengths, the X-axis and Y-axis image centers, the radial distortion coefficients and the tangential distortion coefficients.
Further, the unifying the measured value coordinates of the millimeter wave radar and the monitoring device according to the acquired information includes:
converting coordinates in a millimeter wave radar coordinate system into a geodetic coordinate system taking a monitoring device as a center;
converting the coordinates of the geodetic coordinate system into a coordinate system of the monitoring device;
and converting the coordinates of the coordinate system of the monitoring device into the image coordinate system of the camera module.
Further, the comparing the hidden danger area with hidden danger point coordinates to determine whether the hidden danger point is a hidden danger target, includes:
comparing the coordinates of the central point of the hidden danger area with the coordinates of hidden danger points returned by the millimeter wave radar;
determining whether the difference between the two coordinates is smaller than a set threshold;
if yes, the hidden danger point in the hidden danger area is the hidden danger target; if not, restarting the millimeter wave radar monitoring hidden trouble point.
Further, the performing the on-site early warning, sorting and storing the hidden danger target information, and uploading the hidden danger target information to the platform server comprises the following steps:
an audible and visual alarm message is sent out through an alarm module so as to drive away hidden danger targets;
acquiring the distance, the moving speed and the angle of a hidden danger point measured by the millimeter wave radar, and generating hidden danger target information;
and storing the hidden danger target information into a hidden danger target library, and uploading the hidden danger target information to a platform server through a wireless communication module.
Compared with the prior art, the invention has the beneficial effects that: the invention discloses a system and a method for discovering and identifying hidden danger targets of a transmission line channel.
It can be seen that the present invention has outstanding substantial features and significant advances over the prior art, as well as the benefits of its implementation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system configuration diagram of an embodiment of the present invention.
Fig. 2 is a flow chart of a method of an embodiment of the present invention.
In the figure, 1, a monitoring device; 2. millimeter wave radar; 3. a platform server; 4. a power supply module; 5. a core processor module; 6. a camera module; 7. a wireless communication module; 8. an alarm module; 9. hidden danger target library.
Detailed Description
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, embodiments of the 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.
As shown in fig. 1, the present invention provides a system for identifying hidden danger targets of a transmission line channel, comprising: a monitoring device 1, a millimeter wave radar 2 and a platform server 3.
The monitoring device 1 and the millimeter wave radar 2 are fixedly installed on a transmission line channel, the monitoring device 1 is connected with the millimeter wave radar 2, and the monitoring device 1 is connected with the platform server 3 through a wireless network. In order to ensure higher detection precision, the millimeter wave radar 2 and the monitoring device 1 are fixedly installed on a transmission line channel by using the same bracket, and the radar normal line and the transmission line trend are ensured to be consistent.
The millimeter wave radar 2 is used for monitoring hidden danger points around a transmission line channel in real time, and sending hidden danger point coordinates to the monitoring device after the hidden danger points are monitored, and continuing to track the hidden danger points.
The monitoring device 1 is used for photographing the hidden danger points according to hidden danger point coordinates, marking hidden danger areas of hidden danger point images, and judging whether the hidden danger points are hidden danger targets according to the hidden danger point coordinates uploaded by the millimeter wave radar in real time; if the potential hazard target is the potential hazard target, sending out an alarm signal, acquiring the information of the potential hazard target, carrying out local storage, and uploading the information of the potential hazard target to a platform server.
In the specific embodiment, the monitoring device 1 includes: the device comprises a power supply module 4, a core processor module 5, a camera module 6, a wireless communication module 7, an alarm module 8 and a hidden danger target library 9. The core processor module 5 is respectively connected with the camera module 6, the wireless communication module 7, the alarm module 8 and hidden danger target library data 9, and the data processing and transmission inside the monitoring device 1 are realized through a signal transmission circuit commonly used in the field. The power supply module 4 is respectively connected with the core processor module 5 and the millimeter wave radar 2, and the core processor module is in data connection with the millimeter wave radar, namely the millimeter wave radar 2 is provided with power by the monitoring device 1, and the power supply module is communicated with the monitoring device 1 in a wired mode. In addition, the wireless communication module is in data connection with the platform server 3 through a wireless network, so that remote data interaction with the platform server 3 through the wireless network is realized.
And the platform server 3 is used for displaying hidden danger target information in real time. The platform server 3 is configured with a display module or a liquid crystal display module, and is used for displaying the acquired hidden danger target information in real time.
In the system, the hidden danger target library 9 is designed and used as a database for storing hidden danger target information. Wherein, hidden danger target information includes: line information, predicted external broken point positions of the power transmission line, the number of hidden danger points, the distance between the hidden danger points and the power transmission line, the moving speed of the hidden danger points, hidden danger point position information, alarm area information and the like.
The embodiment provides a hidden danger target discovery and identification system for a transmission line channel, which monitors and identifies hidden danger targets by fusing a monitoring device with a millimeter wave radar, and improves the accuracy and response speed of hidden danger target monitoring.
Based on the above embodiment, as shown in fig. 2, the invention also discloses a method for discovering and identifying hidden danger targets of a transmission line channel, which is applied to the above system for discovering and identifying hidden danger targets of a transmission line channel, and is particularly applied to a monitoring device.
The method specifically comprises the following steps:
s1: acquiring millimeter wave radar installation information, monitoring device installation information and internal parameters of a camera module arranged in the monitoring device.
Specifically, the millimeter wave radar installation information includes radar attitude angle, horizontal deviation of the power tower insulator and the millimeter wave radar, height deviation, and the like. The monitoring device installation information comprises the attitude angle of the monitoring device and the offset of the monitoring device relative to the three-dimensional coordinate of the radar. The internal parameters of the camera module arranged in the monitoring device comprise X-axis and Y-axis focal lengths, X-axis and Y-axis image centers, radial distortion coefficients and tangential distortion coefficients.
S2: and unifying measured value coordinates of the millimeter wave radar and the monitoring device according to the acquired information.
In a specific embodiment, the fusion of the millimeter wave radar and the monitoring device is to convert measured values of different coordinate systems into the same coordinate system, and the calibration between the millimeter wave radar and the monitoring device is carried out in three steps: firstly, converting the coordinates in the millimeter wave radar coordinate system into a geodetic coordinate system taking the monitoring device as the center, then converting the coordinates of the geodetic coordinate system into the monitoring device coordinate system, and finally converting the coordinates of the monitoring device coordinate system into the image coordinate system.
S3: through millimeter wave radar initiative monitoring hidden danger point, after monitoring hidden danger point, upload hidden danger point coordinate to the prison clapping device.
In a specific embodiment, in order to reduce the overall power consumption, the millimeter wave radar is started first, the hidden danger point is actively monitored through the millimeter wave radar, and after the hidden danger point is monitored, the hidden danger point coordinates are actively sent to the monitoring device.
S4: and controlling the camera module to acquire hidden danger point images according to the hidden danger point coordinates, and generating hidden danger point images.
In a specific embodiment, after the hidden danger point coordinates are obtained, the monitoring device opens the camera module to take a picture, and starts hidden danger point image acquisition and intelligent identification.
S5: and (5) marking hidden danger areas of the hidden danger point images through an intelligent recognition function.
In a specific embodiment, the hidden danger area is marked in the hidden danger point image by using a built-in image recognition tool.
S6: and comparing the hidden danger area with hidden danger point coordinates to judge whether the hidden danger point is a hidden danger target or not.
In the specific embodiment, first, the coordinates of the central point of the hidden danger area are compared with the coordinates of hidden danger points returned by the millimeter wave radar. At this time, it is determined whether the difference between the two coordinates is smaller than a set threshold; if yes, the hidden danger point in the hidden danger area is the hidden danger target. If not, restarting the millimeter wave radar monitoring hidden trouble point, and repeating the steps until the difference value of the two coordinates is smaller than the set threshold value.
S7: and when the hidden danger point is judged to be a hidden danger target, performing on-site early warning, sorting and storing hidden danger target information, and uploading the hidden danger target information to a platform server.
In a specific embodiment, audible and visual alarm information is sent out through an alarm module to drive away hidden danger targets. Meanwhile, the distance, the moving speed and the angle of hidden danger points continuously measured by the millimeter wave radar are obtained, and hidden danger target information is generated. And then, the hidden danger target information is stored in a hidden danger target library. And finally, uploading the hidden danger target information to a platform server through a wireless communication module.
S8: and displaying hidden danger target information in real time by using a platform server.
In a specific embodiment, the obtained hidden danger target information is displayed in real time by utilizing the liquid crystal display module.
In summary, the millimeter wave radar and the monitoring device are used in a fused mode, and the hidden danger target information is stored by utilizing the hidden danger target, so that the high-precision spatial positioning of the hidden danger target is realized, and meanwhile, the response speed of the hidden danger target identification is improved.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, system or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each module may exist alone physically, or two or more modules may be integrated in one unit.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The system and the method for discovering and identifying the hidden danger targets of the transmission line channel provided by the invention are described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (10)
1. The utility model provides a transmission line passageway hidden danger target discovery identification system which characterized in that includes: the system comprises a monitoring device, a millimeter wave radar and a platform server;
the monitoring device and the millimeter wave radar are fixedly arranged on a transmission line channel, the monitoring device is connected with the millimeter wave radar, and the monitoring device is connected with the platform server through a wireless network;
the millimeter wave radar is used for monitoring hidden danger points around the transmission line channel in real time, sending hidden danger point coordinates to the monitoring device after the hidden danger points are monitored, and continuously tracking the hidden danger points;
the monitoring device is used for photographing the hidden danger points according to hidden danger point coordinates, marking hidden danger areas of hidden danger point images, and judging whether the hidden danger points are hidden danger targets according to the hidden danger point coordinates uploaded by the millimeter wave radar in real time; if the potential hazard target is the potential hazard target, sending an alarm signal, acquiring the information of the potential hazard target, carrying out local storage, and uploading the information of the potential hazard target to a platform server;
and the platform server is used for displaying hidden danger target information in real time.
2. The transmission line channel hidden trouble target discovery and identification system according to claim 1, wherein the monitoring device comprises: the device comprises a power supply module, a core processor module, a camera module, a wireless communication module, an alarm module and a hidden danger target library;
the core processor module is respectively connected with the camera module, the wireless communication module, the alarm module and the hidden danger target library in a data way, the power supply module is electrically connected with the core processor module, the wireless communication module is connected with the platform server in a data way through a wireless network, the core processor module is connected with the millimeter wave radar in a data way, and the power supply module is electrically connected with the millimeter wave radar;
the core processor module is used for acquiring hidden danger point coordinates uploaded by the millimeter wave radar, controlling the camera module to acquire hidden danger point images according to the hidden danger point coordinates, marking hidden danger areas of the hidden danger point images, and judging whether the hidden danger points are hidden danger targets or not through comparison with the hidden danger point coordinates; if the potential hazard target is the potential hazard target, the control alarm module sends an alarm signal, potential hazard target information is stored in a potential hazard target library, and the potential hazard target information is uploaded to the platform server through the wireless communication module.
3. The transmission line channel hidden trouble target discovery and identification system according to claim 2, wherein the hidden trouble target information includes: line information, predicted external broken point positions of a power transmission line, the number of hidden danger points, the distance between the hidden danger points and the power transmission line, the moving speed of the hidden danger points, hidden danger point position information and alarm area information.
4. A method for identifying potential transmission line channel targets, wherein the method is applied to the system for identifying potential transmission line channel targets according to any one of claims 1 to 3, and the method comprises the following steps: acquiring millimeter wave radar installation information, monitoring device installation information and internal parameters of a camera module arranged in the monitoring device;
unifying measured value coordinates of the millimeter wave radar and the monitoring device according to the acquired information;
actively monitoring hidden danger points through a millimeter wave radar, and uploading hidden danger point coordinates to a monitoring device after the hidden danger points are monitored;
controlling a camera module to collect hidden danger point images according to hidden danger point coordinates, and generating hidden danger point images;
the hidden danger area marking is carried out on the hidden danger point image through an intelligent recognition function;
comparing the hidden danger area with hidden danger point coordinates to judge whether the hidden danger point is a hidden danger target or not;
when the hidden danger point is judged to be a hidden danger target, performing on-site early warning, sorting and storing hidden danger target information, and uploading the hidden danger target information to a platform server;
and displaying hidden danger target information in real time by using a platform server.
5. The transmission line channel hidden trouble target discovery and identification method according to claim 4, wherein the millimeter wave radar installation information includes: radar attitude angle, horizontal deviation of the power tower insulator and the millimeter wave radar, and height deviation of the power tower insulator and the millimeter wave radar.
6. The method for identifying potential transmission line channel targets according to claim 5, wherein the monitoring device installation information comprises: and the attitude angle of the monitoring device and the offset of the monitoring device relative to the three-dimensional coordinate of the radar.
7. The method for identifying potential transmission line channel targets according to claim 6, wherein the internal parameters of the camera module include: the X-axis and Y-axis focal lengths, the X-axis and Y-axis image centers, the radial distortion coefficients and the tangential distortion coefficients.
8. The method for identifying hidden danger targets in a power transmission line according to claim 7, wherein unifying coordinates of measured values of a millimeter wave radar and a monitoring device according to the acquired information comprises:
converting coordinates in a millimeter wave radar coordinate system into a geodetic coordinate system taking a monitoring device as a center;
converting the coordinates of the geodetic coordinate system into a coordinate system of the monitoring device;
and converting the coordinates of the coordinate system of the monitoring device into the image coordinate system of the camera module.
9. The method for identifying a hidden danger target of a power transmission line channel according to claim 8, wherein the comparing the hidden danger area with hidden danger point coordinates to determine whether the hidden danger point is the hidden danger target comprises: comparing the coordinates of the central point of the hidden danger area with the coordinates of hidden danger points returned by the millimeter wave radar;
determining whether the difference between the two coordinates is smaller than a set threshold;
if yes, the hidden danger point in the hidden danger area is the hidden danger target; if not, restarting the millimeter wave radar monitoring hidden trouble point.
10. The method for identifying hidden danger targets in a power transmission line channel according to claim 9, wherein the steps of performing on-site early warning, sorting and storing hidden danger target information, and uploading the hidden danger target information to a platform server include:
an audible and visual alarm message is sent out through an alarm module so as to drive away hidden danger targets;
acquiring the distance, the moving speed and the angle of a hidden danger point measured by the millimeter wave radar, and generating hidden danger target information;
and storing the hidden danger target information into a hidden danger target library, and uploading the hidden danger target information to a platform server through a wireless communication module.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311602156.2A CN117630912A (en) | 2023-11-27 | 2023-11-27 | Power transmission line channel hidden danger target discovery and identification system and method |
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| CN202311602156.2A CN117630912A (en) | 2023-11-27 | 2023-11-27 | Power transmission line channel hidden danger target discovery and identification system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117830032A (en) * | 2024-03-06 | 2024-04-05 | 广州长川科技有限公司 | Method and system for monitoring snapshot and risk assessment of power transmission line network |
| CN117830032B (en) * | 2024-03-06 | 2024-05-31 | 广州长川科技有限公司 | Method and system for monitoring snapshot and risk assessment of power transmission line network |
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2023
- 2023-11-27 CN CN202311602156.2A patent/CN117630912A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117830032A (en) * | 2024-03-06 | 2024-04-05 | 广州长川科技有限公司 | Method and system for monitoring snapshot and risk assessment of power transmission line network |
| CN117830032B (en) * | 2024-03-06 | 2024-05-31 | 广州长川科技有限公司 | Method and system for monitoring snapshot and risk assessment of power transmission line network |
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