CN113671954A - Inspection method of intelligent robot of transformer substation - Google Patents
Inspection method of intelligent robot of transformer substation Download PDFInfo
- Publication number
- CN113671954A CN113671954A CN202110886603.6A CN202110886603A CN113671954A CN 113671954 A CN113671954 A CN 113671954A CN 202110886603 A CN202110886603 A CN 202110886603A CN 113671954 A CN113671954 A CN 113671954A
- Authority
- CN
- China
- Prior art keywords
- intelligent robot
- equipment
- detected
- transformer substation
- inspection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000001514 detection method Methods 0.000 claims description 11
- 238000013461 design Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 abstract 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0217—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with energy consumption, time reduction or distance reduction criteria
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
The invention provides a routing inspection method of an intelligent robot of a transformer substation, which comprises the following steps: the method comprises the steps of identifying position information of equipment to be inspected by using an active radio frequency chip, establishing a two-dimensional plane diagram of the transformer substation, obtaining a routing inspection time sequence, calculating to obtain a shortest path, performing routing inspection by using the shortest path according to the routing inspection time sequence by using an intelligent robot, and updating the latest routing inspection time of the equipment to be inspected to be the current routing inspection time. The invention realizes the planning of the routing inspection path of the routing inspection robot, so as to reduce the routing inspection time of the robot, save the power consumption of the robot and increase the routing inspection efficiency of the robot.
Description
Technical Field
The invention relates to the technical field of inspection robots, in particular to an inspection method of an intelligent robot of a transformer substation.
Background
With the development of artificial intelligence and the investment and support of the state on the intelligent inspection robot of the transformer substation, the intelligent inspection robot of the transformer substation is rapidly developing. Referring to a Chinese patent publication No. CN112904866A, a method and a system for controlling warehousing and charging of an inspection robot and an outdoor inspection robot comprise the steps of automatically acquiring attitude information of the inspection robot when the inspection robot runs to a charging pile area of the robot, and acquiring the attitude information which is closest to the charging pile of the inspection robot; constructing expected warehousing constraints of the inspection robot according to the attitude information of the inspection robot and the attitude information closest to the charging pile; calculating the motion control quantity required by the inspection robot for warehousing charging by adopting a discretization variable structure algorithm containing expected warehousing constraints of the inspection robot; controlling the inspection robot to enter the warehouse for charging according to the motion control quantity required by the inspection robot to enter the warehouse; according to the invention, by adding the expected warehousing constraint, the rapid and accurate control of the posture of the inspection robot is realized, the shaking of the discretization variable structure is effectively reduced, the stability of the system is ensured, and the robustness of the system is good; the control does not need personnel to intervene, and the automatic warehousing charging task can be independently, efficiently and quickly completed. How to plan the routing inspection path of the routing inspection robot so as to reduce the routing inspection time of the robot, save the power consumption of the robot and increase the routing inspection efficiency of the robot is a problem to be solved urgently.
Disclosure of Invention
The invention solves the problem of power consumption caused by the lack of path planning of the conventional inspection robot, and provides an inspection method of a transformer substation intelligent robot, which is used for planning the inspection path of the inspection robot so as to reduce the inspection time of the robot, save the power consumption of the robot and increase the inspection efficiency of the robot.
In order to realize the purpose, the following technical scheme is provided:
a routing inspection method of a transformer substation intelligent robot comprises the following steps:
s1, identifying the position information of all equipment to be detected in the transformer substation by using the active radio frequency chip;
the method comprises the following steps that 2 chip receivers which are arranged at a certain distance are arranged in a transformer substation, an active radio frequency chip corresponding to equipment to be detected is arranged on a detection surface of each equipment to be detected, the active radio frequency chip is provided with a polling period and the latest polling time of the equipment to be detected, and the relative position of the equipment to be detected is obtained through the 2 chip receivers; a starting radio frequency chip is arranged at the starting point of the intelligent robot, the position of the starting radio frequency chip is obtained through 2 chip receivers, then a transformer substation two-dimensional plane graph is established by taking the starting point of the intelligent robot as the origin of coordinates, and the positions of all equipment to be detected and the inlets and outlets of all transformer substations are marked by coordinates;
s2, the intelligent robot obtains the polling periods and the latest polling time of all the equipment to be detected to obtain a polling time sequence;
s3, screening the coordinates of the equipment to be inspected with the future inspection time of the same day as a first-class target point, and acquiring the shortest path by using an exhaustion method;
s4, the intelligent robot patrols according to the patrol time sequence by the shortest path, and updates the latest patrol time of the patrolled equipment to be the current patrol time after the patrol;
and S5, when all the equipment to be detected is inspected, the intelligent robot returns to the starting point for charging.
The method comprises the steps of firstly positioning all equipment to be detected in the transformer substation, then classifying according to the detection periods of all the equipment to be detected, and finally obtaining the shortest path by using an exhaustion method, so that the routing of the intelligent robot is planned, the routing time of the intelligent robot is reduced, the power consumption of the intelligent robot is saved, and the routing efficiency of the intelligent robot is increased.
Preferably, the S2 specifically includes the following steps: the method comprises the steps of obtaining the polling periods and the latest polling time of all equipment to be inspected, calculating the future polling time according to the polling periods and the latest polling time, and sequencing the future polling time of all the equipment to be inspected from near to far to obtain a polling time sequence.
Preferably, the S1 further includes the steps of:
s101, acquiring a plane design drawing of a transformer substation, and extracting the distribution position of a house wall and the positions of an inlet and an outlet from the plane design drawing;
s102, establishing a two-dimensional plane graph of the transformer substation by taking the starting point of the intelligent robot as the origin of coordinates;
s103, obtaining position information of all equipment to be detected of the transformer substation, marking the positions of all the equipment to be detected and the positions of the inlets and the outlets of all the transformer substations by using coordinates, and marking the house wall by using lines.
The invention also considers the distribution condition of multiple rooms of the transformer substation during implementation, and considers the entrance and exit of the house wall and the house in path planning, so that the application range of the invention is wider.
Preferably, the S3 specifically includes the following steps:
s301, judging whether all the first type target points are located in the same house, if so, selecting the position away from the entrance and exit of the starting point of the intelligent robot as a first point, and carrying out S302, otherwise, carrying out S303;
s302, taking the first point as a path starting point and a path end point, making tracks for traversing all the first type target points, calculating the distances of all the tracks, and selecting the track with the shortest distance as the shortest path;
and S303, taking the starting point of the intelligent robot as the starting point and the ending point of the path, making tracks for traversing all the first-class target points, screening tracks which span the wall of the house and are provided with inlets and outlets on the spanned wall of the house as alternative tracks, calculating the distances of all the alternative tracks, and selecting the alternative track with the shortest distance as the shortest path.
Preferably, the S3 further includes the steps of:
and judging whether the first-class target point has equipment to be inspected with future inspection time within a plurality of radius ranges and current time within set days, classifying the equipment to be inspected to be the second-class target point if the equipment to be inspected exists within the radius ranges, merging the second-class target point to the first-class target point after the second-class target point is classified, and acquiring the shortest path by using an exhaustion method.
The second type of target points are set for normalizing the equipment with the similar detection time, so that the inspection frequency of the intelligent robot is reduced, and the power consumption of the intelligent robot is saved.
Preferably, the intelligent robot is provided with an obstacle avoidance algorithm, and automatic obstacle avoidance is performed when inspection operation is performed according to the shortest path.
Preferably, the present invention further comprises a charge control step:
the intelligent robot is charged in a non-inspection time period until the intelligent robot enters a standby state after being fully charged, the power detection is started 24 hours before the intelligent robot enters an inspection date, whether the current electric quantity exceeds a set value or not is judged, if yes, the intelligent robot enters the standby state again, if not, the intelligent robot starts charging, and the intelligent robot enters the standby state again after being fully charged.
Preferably, whether the current electric quantity exceeds a set value is judged, if not, a fault judgment step is further included, whether the current electric quantity is lower than a fault value is judged, if yes, the standby intelligent robot is started to charge the standby intelligent robot, and if not, the standby intelligent robot is started to enter a standby state until the standby intelligent robot is fully charged.
The invention has the beneficial effects that: according to the method, all the equipment to be detected in the transformer substation are positioned, then the equipment to be detected is classified according to the detection periods of all the equipment to be detected, and finally the shortest path is obtained by using an exhaustion method, so that the routing inspection path of the intelligent robot is planned, the routing inspection time of the intelligent robot is reduced, the power consumption of the intelligent robot is saved, and the routing inspection efficiency of the intelligent robot is improved.
Drawings
FIG. 1 is a flow chart of a method of an embodiment;
fig. 2 is the shortest path specifically selected by the embodiment.
Detailed Description
Example (b):
the embodiment provides a routing inspection method for a transformer substation intelligent robot, which includes the following steps with reference to fig. 1:
s1, identifying the position information of all equipment to be detected in the transformer substation by using the active radio frequency chip;
the method comprises the following steps that 2 chip receivers which are arranged at a certain distance are arranged in a transformer substation, an active radio frequency chip corresponding to equipment to be detected is arranged on a detection surface of each equipment to be detected, the active radio frequency chip is provided with a polling period and the latest polling time of the equipment to be detected, and the relative position of the equipment to be detected is obtained through the 2 chip receivers; a starting radio frequency chip is arranged at the starting point of the intelligent robot, the position of the starting radio frequency chip is obtained through 2 chip receivers, then a transformer substation two-dimensional plane graph is established by taking the starting point of the intelligent robot as the origin of coordinates, and the positions of all equipment to be detected and the inlets and outlets of all transformer substations are marked by coordinates; further comprising the steps of:
s101, acquiring a plane design drawing of a transformer substation, and extracting the distribution position of a house wall and the positions of an inlet and an outlet from the plane design drawing;
s102, establishing a two-dimensional plane graph of the transformer substation by taking the starting point of the intelligent robot as the origin of coordinates;
s103, obtaining position information of all equipment to be detected of the transformer substation, marking the positions of all the equipment to be detected and the positions of the inlets and the outlets of all the transformer substations by using coordinates, and marking the house wall by using lines.
The invention also considers the distribution condition of multiple rooms of the transformer substation during implementation, and considers the entrance and exit of the house wall and the house in path planning, so that the application range of the invention is wider.
S2, acquiring the polling periods and the latest polling time of all the equipment to be inspected, calculating the future polling time according to the polling periods and the latest polling time, and sequencing the future polling time of all the equipment to be inspected from near to far to obtain a polling time sequence;
s3, the coordinates of the equipment to be inspected with the future inspection time being the same day are screened as a first-class target point, whether the equipment to be inspected with the future inspection time within 3 days to 7 days from the current time exists in the first-class target point within the radius of 2 meters to 4 meters is judged, if yes, the first-class target point is classified as a second-class target point, the second-class target point is merged to the first-class target point after the second-class target point is classified, and then the shortest path is obtained by utilizing an exhaustion method.
The second type of target points are set for normalizing the equipment with the similar detection time, so that the inspection frequency of the intelligent robot is reduced, and the power consumption of the intelligent robot is saved.
S3 specifically includes the following steps:
s301, judging whether all the first type target points are located in the same house, if so, selecting the position away from the entrance and exit of the starting point of the intelligent robot as a first point, and carrying out S302, otherwise, carrying out S303;
s302, taking the first point as a path starting point and a path end point, making tracks for traversing all the first type target points, calculating the distances of all the tracks, and selecting the track with the shortest distance as the shortest path;
and S303, referring to FIG. 2, the intelligent robot takes the starting point of the path as the starting point and the end point of the path, makes tracks for traversing all the first-class target points, screens out tracks with inlets and outlets on the crossed house wall body and crossing the house wall body as alternative tracks, calculates the distances of all the alternative tracks, and selects the alternative track with the shortest distance as the shortest path. The intelligent robot is provided with an obstacle avoidance algorithm, automatic obstacle avoidance is carried out when routing inspection operation is carried out according to the shortest path, and the path after the automatic obstacle avoidance is an actual path displayed by a dotted line.
S4, the intelligent robot patrols according to the patrol time sequence by the shortest path, and updates the latest patrol time of the patrolled equipment to be the current patrol time after the patrol;
and S5, when all the equipment to be detected is inspected, the intelligent robot returns to the starting point for charging.
The invention also comprises a charging control step:
the intelligent robot is charged in a non-polling time period until the intelligent robot enters a standby state after being fully charged, the electric energy detection is started until the first 24 hours of the polling date is about to enter, whether the current electric quantity exceeds 90% of the total electric quantity or not is judged, if yes, the intelligent robot enters the standby state again, if not, whether the current electric quantity is lower than 20% of the total electric quantity or not is judged, if yes, the standby intelligent robot is started, the standby intelligent robot is charged, and if not, the standby intelligent robot is started to be charged until the standby state is fully charged. The intelligent robot is provided with the standby intelligent robot, so that the problem that the intelligent robot cannot complete the routing inspection task when the intelligent robot fails is avoided, and the routing inspection result is fed back to the monitoring center after the intelligent robot completes routing inspection.
The method comprises the steps of firstly positioning all equipment to be detected in the transformer substation, then classifying according to the detection periods of all the equipment to be detected, and finally obtaining the shortest path by using an exhaustion method, so that the routing of the intelligent robot is planned, the routing time of the intelligent robot is reduced, the power consumption of the intelligent robot is saved, and the routing efficiency of the intelligent robot is increased.
Claims (8)
1. A routing inspection method of an intelligent robot of a transformer substation is characterized by comprising the following steps:
s1, identifying the position information of all equipment to be detected in the transformer substation by using the active radio frequency chip;
the method comprises the following steps that 2 chip receivers which are arranged at a certain distance are arranged in a transformer substation, an active radio frequency chip corresponding to equipment to be detected is arranged on a detection surface of each equipment to be detected, the active radio frequency chip is provided with a polling period and the latest polling time of the equipment to be detected, and the relative position of the equipment to be detected is obtained through the 2 chip receivers; a starting radio frequency chip is arranged at the starting point of the intelligent robot, the position of the starting radio frequency chip is obtained through 2 chip receivers, then a transformer substation two-dimensional plane graph is established by taking the starting point of the intelligent robot as the origin of coordinates, and the positions of all equipment to be detected and the inlets and outlets of all transformer substations are marked by coordinates;
s2, the intelligent robot obtains the polling periods and the latest polling time of all the equipment to be detected to obtain a polling time sequence;
s3, screening the coordinates of the equipment to be inspected with the future inspection time of the same day as a first-class target point, and acquiring the shortest path by using an exhaustion method;
s4, the intelligent robot patrols according to the patrol time sequence by the shortest path, and updates the latest patrol time of the patrolled equipment to be the current patrol time after the patrol;
and S5, when all the equipment to be detected is inspected, the intelligent robot returns to the starting point for charging.
2. The inspection method for the intelligent robot of the substation according to claim 1, wherein the S2 specifically comprises the following steps: the method comprises the steps of obtaining the polling periods and the latest polling time of all equipment to be inspected, calculating the future polling time according to the polling periods and the latest polling time, and sequencing the future polling time of all the equipment to be inspected from near to far to obtain a polling time sequence.
3. The inspection method for the intelligent robot of the substation according to claim 1, wherein the S1 further comprises the following steps:
s101, acquiring a plane design drawing of a transformer substation, and extracting the distribution position of a house wall and the positions of an inlet and an outlet from the plane design drawing;
s102, establishing a two-dimensional plane graph of the transformer substation by taking the starting point of the intelligent robot as the origin of coordinates;
s103, obtaining position information of all equipment to be detected of the transformer substation, marking the positions of all the equipment to be detected and the positions of the inlets and the outlets of all the transformer substations by using coordinates, and marking the house wall by using lines.
4. The inspection method for the intelligent robot of the substation according to claim 3, wherein the S3 specifically comprises the following steps:
s301, judging whether all the first type target points are located in the same house, if so, selecting the position away from the entrance and exit of the starting point of the intelligent robot as a first point, and carrying out S302, otherwise, carrying out S303;
s302, taking the first point as a path starting point and a path end point, making tracks for traversing all the first type target points, calculating the distances of all the tracks, and selecting the track with the shortest distance as the shortest path;
and S303, taking the starting point of the intelligent robot as the starting point and the ending point of the path, making tracks for traversing all the first-class target points, screening tracks which span the wall of the house and are provided with inlets and outlets on the spanned wall of the house as alternative tracks, calculating the distances of all the alternative tracks, and selecting the alternative track with the shortest distance as the shortest path.
5. The substation intelligent robot inspection method according to claim 2, 3 or 4, wherein the S3 further comprises the following steps:
and judging whether the first-class target point has equipment to be inspected with future inspection time within a plurality of radius ranges and current time within set days, classifying the equipment to be inspected to be the second-class target point if the equipment to be inspected exists within the radius ranges, merging the second-class target point to the first-class target point after the second-class target point is classified, and acquiring the shortest path by using an exhaustion method.
6. The inspection method of the intelligent robot of the transformer substation according to claim 1, wherein the intelligent robot is provided with an obstacle avoidance algorithm, and automatic obstacle avoidance is performed when inspection operation is performed according to the shortest path.
7. The inspection method of the intelligent robot of the transformer substation according to claim 1, further comprising the charging control step of:
the intelligent robot is charged in a non-inspection time period until the intelligent robot enters a standby state after being fully charged, the power detection is started 24 hours before the intelligent robot enters an inspection date, whether the current electric quantity exceeds a set value or not is judged, if yes, the intelligent robot enters the standby state again, if not, the intelligent robot starts charging, and the intelligent robot enters the standby state again after being fully charged.
8. The inspection method according to claim 7, wherein the method comprises the steps of judging whether the current electric quantity exceeds a set value, if not, further comprising a fault judging step of judging whether the current electric quantity is lower than a fault value, if so, starting the standby intelligent robot to charge the standby intelligent robot, and if not, starting the charging until the standby intelligent robot enters a standby state after being fully charged.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110886603.6A CN113671954B (en) | 2021-08-03 | 2021-08-03 | Inspection method of intelligent robot of transformer substation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110886603.6A CN113671954B (en) | 2021-08-03 | 2021-08-03 | Inspection method of intelligent robot of transformer substation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113671954A true CN113671954A (en) | 2021-11-19 |
| CN113671954B CN113671954B (en) | 2022-06-17 |
Family
ID=78541206
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110886603.6A Active CN113671954B (en) | 2021-08-03 | 2021-08-03 | Inspection method of intelligent robot of transformer substation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113671954B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106451201A (en) * | 2016-08-31 | 2017-02-22 | 杭州申昊科技股份有限公司 | Inspection system for transformer substation |
| CN110111442A (en) * | 2019-06-03 | 2019-08-09 | 湖北南邦创电科技有限公司 | Equipment routing inspection method and inspection device in a kind of region |
| US20200142052A1 (en) * | 2018-06-04 | 2020-05-07 | Shandong University | Automatic wall climbing type radar photoelectric robot system for non-destructive inspection and diagnosis of damages of bridge and tunnel structure |
| CN111854763A (en) * | 2020-08-06 | 2020-10-30 | 安徽南瑞继远电网技术有限公司 | Transformer substation inspection method and device and terminal equipment |
| CN112350441A (en) * | 2020-11-03 | 2021-02-09 | 国网智能科技股份有限公司 | Online intelligent inspection system and method for transformer substation |
| JP2021047558A (en) * | 2019-09-18 | 2021-03-25 | 株式会社明電舎 | Patrol inspection system |
-
2021
- 2021-08-03 CN CN202110886603.6A patent/CN113671954B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106451201A (en) * | 2016-08-31 | 2017-02-22 | 杭州申昊科技股份有限公司 | Inspection system for transformer substation |
| US20200142052A1 (en) * | 2018-06-04 | 2020-05-07 | Shandong University | Automatic wall climbing type radar photoelectric robot system for non-destructive inspection and diagnosis of damages of bridge and tunnel structure |
| CN110111442A (en) * | 2019-06-03 | 2019-08-09 | 湖北南邦创电科技有限公司 | Equipment routing inspection method and inspection device in a kind of region |
| JP2021047558A (en) * | 2019-09-18 | 2021-03-25 | 株式会社明電舎 | Patrol inspection system |
| CN111854763A (en) * | 2020-08-06 | 2020-10-30 | 安徽南瑞继远电网技术有限公司 | Transformer substation inspection method and device and terminal equipment |
| CN112350441A (en) * | 2020-11-03 | 2021-02-09 | 国网智能科技股份有限公司 | Online intelligent inspection system and method for transformer substation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113671954B (en) | 2022-06-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103688186A (en) | Positioning systems and methods and location based modification of computing device applications | |
| CN106485334A (en) | Automatic vending method, automatic vending machine and automatically vending system | |
| CN110154816A (en) | A kind of charging management system and method for automatically guiding trolley | |
| CN104113912A (en) | Indoor locating method for mobile device | |
| CN114256940B (en) | Multi-robot charging scheduling method, device and system | |
| CN114510077A (en) | Route planning method and device for unmanned aerial vehicle pole routing inspection and computer storage medium | |
| CN117217460A (en) | Inspection scheme generation method and device, electronic equipment and storage medium | |
| CN114895712A (en) | Large-range inspection method and system for photovoltaic power generation equipment | |
| CN114782947A (en) | Point cloud matching method, point cloud matching system and storage medium for power transmission and distribution line | |
| Gao et al. | Joint wireless charging and sensor activity management in wireless rechargeable sensor networks | |
| CN113671954B (en) | Inspection method of intelligent robot of transformer substation | |
| CN107659918B (en) | Intelligent following method and system | |
| CN113671955A (en) | Inspection sequence control method based on intelligent robot of transformer substation | |
| CN109246602B (en) | Charging base station deployment method of wireless chargeable sensor network | |
| CN116594426A (en) | Substation unmanned aerial vehicle routing planning method and system | |
| CN116164730A (en) | Photovoltaic equipment positioning navigation method and related equipment | |
| CN115082396A (en) | Intelligent surveying method, system and medium for photovoltaic power station infrastructure progress | |
| US20240017856A1 (en) | Electricity and data communication access to unmanned aerial vehicles from over-head power lines | |
| Zhu et al. | Maximal weighted coverage deployment of uav-enabled rechargeable visual sensor networks | |
| CN113741425A (en) | Full-coverage path planning method and navigation system | |
| CN113095459B (en) | Information processing method, device, equipment and computer storage medium | |
| KR102377859B1 (en) | Photovoltaic panel management system. | |
| CN117749087B (en) | Autonomous inspection cleaning operation and maintenance system for live-action three-dimensional fishing light complementary photovoltaic power station | |
| So | Migratory Unmanned Aerial Vehicle System (MiUAV) for Automated Infrastructure Inspection | |
| CN117526838A (en) | Clean maintenance system of photovoltaic power plant |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |