CN112414457A - Automatic intelligent inspection method based on work of transformer substation - Google Patents

Automatic intelligent inspection method based on work of transformer substation Download PDF

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Publication number
CN112414457A
CN112414457A CN202011248854.3A CN202011248854A CN112414457A CN 112414457 A CN112414457 A CN 112414457A CN 202011248854 A CN202011248854 A CN 202011248854A CN 112414457 A CN112414457 A CN 112414457A
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obstacle
inspection robot
climbing
inspection
robot
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CN112414457B (en
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陈如申
黎勇跃
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Hangzhou Shenhao Technology Co Ltd
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Hangzhou Shenhao Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0242Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using non-visible light signals, e.g. IR or UV signals
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0257Control of position or course in two dimensions specially adapted to land vehicles using a radar
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0259Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means
    • G05D1/0263Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means using magnetic strips
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/0278Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/028Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using a RF signal
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses an automatic intelligent inspection method based on substation work, which comprises a monitoring background terminal, wireless communication equipment and an inspection robot, wherein the inspection robot is divided into an obstacle-crossing intelligent inspection robot, a climbing intelligent inspection robot, a pole-climbing intelligent inspection robot and a magnetic track trace navigation intelligent inspection robot, and the method is applied to different substation environments to finish walking, obstacle-crossing, obstacle-avoiding, slope-climbing, ladder climbing, pole-climbing and wire climbing work and ensure that the inspection robot finishes the inspection work of a substation. This system of patrolling and examining handles data reception, processing, demonstration and the storage of whole system of patrolling and examining through setting up control backstage terminal, accomplishes specifically to patrol and examine work by patrolling and examining the robot to through the robot that patrols and examines with the different difference respectively, improve and patrol and examine efficiency, optimize the mode of patrolling and examining, make it can accomplish the work of patrolling and examining in different transformer substation areas.

Description

Automatic intelligent inspection method based on work of transformer substation
The application is as follows: 12.12.2018, with the application numbers: CN201811520938.0, invention name: an intelligent inspection system for a transformer substation and divisional application of an inspection method thereof.
Technical Field
The invention relates to the field of automatic inspection of transformer substations, in particular to an automatic intelligent inspection method based on transformer substation work.
Background
With the development of the world power grid, especially after the concept of the smart power grid is proposed, the worldwide research on how to improve the safety, efficiency and stability of the power grid becomes a hot spot. The transformer substation is used as a centralized point and a key point of power grid equipment, so that the intelligent and safe operation of the transformer substation is ensured to be related to the production of enterprises and the normal life of people. At present, a manual inspection mode is mostly adopted for daily inspection and maintenance of a transformer substation, however, the mode needs to inspect corresponding equipment and record data regularly and regularly, and then judgment processing is carried out according to experience. The method needs the staff to carry out repetitive work, is easy to make the staff generate boring emotion, is not beneficial to the expansion of work, mostly depends on simple analysis and qualification on sense organs for checking the equipment, senses the temperature rise and vibration conditions of the equipment by touch sense, detects whether noise exists by using hearing sense, checks whether peculiar smell exists by using smell sense, probably records and observes data more accurately in normal weather, but has the problems of high risk degree, high difficulty degree, false detection, missed detection and the like under the weather conditions of rain, wind, snowstorm and the like in extreme weather.
According to the clear indication in the survey and operation report about the power grid in 2011 of the power department in China, the direct economic loss caused by the working errors of people and the influence of various unexpected conditions of equipment in a transformer substation can reach 26 billion yuan each year. Therefore, the method for detecting the substation equipment is difficult to meet the requirements of the masses of people and enterprises on the power supply quality. In order to reduce the loss of equipment and ensure the normal operation of the substation, the idea of performing substation inspection using a robot instead of a human is proposed. The intelligent inspection robot is divided into an autonomous mode and a remote control mode according to an inspection mode, carries a high-definition CCD camera, an infrared imager, a sound pick-up and other devices, moves and detects in an interval according to arrangement points of devices and lines in a transformer substation, can judge whether the lines have an over-power or short-circuit condition according to temperature in advance, and can judge whether the devices have the conditions of insufficient pressure or overlarge pressure, oil leakage and the like according to readings of instruments and meters. And data of potential hidden dangers of the equipment are provided in time, problems are found in advance through analysis, and automatic alarming or some simple maintenance processing is carried out.
The detection work of transformer substation roughly generally divide into the detection of equipment in the factory building and the detection of equipment outside the factory building, and no matter be the detection of equipment and the detection of equipment outside the factory building all will relate to ground detection and high altitude detection, and to the ground detection of equipment in the factory building and the ground detection of equipment outside the factory building, often need patrol and examine the robot through the intelligence of surmounting the obstacle and detect, help patrol and examine the robot and cross the obstacle or keep away the obstacle, guarantee going on of its work. And to the high altitude detection of equipment in the factory building and the high altitude detection of equipment outside the factory building, to patrolling and examining the requirement of robot higher, often need to have multiple functions such as climbing, cat ladder, climbing pole, climbing arm, climbing wire, just can accomplish the detection achievement of corresponding substation equipment.
In view of the above, the invention provides an automatic intelligent inspection method based on substation work for ground detection and high-altitude detection, so as to ensure that detection work in a substation is completed.
Disclosure of Invention
The invention aims to provide an automatic intelligent inspection method based on substation work aiming at the defects of the prior art.
In order to solve the technical problems, the following technical scheme is adopted:
an automatic intelligent inspection method based on substation work specifically comprises the following steps:
(a) firstly, the geographical map information of the transformer substation is called through a database of a monitoring background terminal; then dividing a detection area according to the substation equipment to be detected, wherein the detection area comprises a ground detection area and a high-altitude detection area; finally, matching corresponding inspection robots according to the required detection areas, matching obstacle-crossing intelligent inspection robots and magnetic trace navigation intelligent inspection robots in the ground detection areas, and matching climbing intelligent inspection robots and pole-climbing intelligent inspection robots in the high-altitude detection areas;
(b) the inspection robot needing to participate in inspection is subjected to deep learning, the contents of the deep learning comprise the area needing to be detected by the inspection robot, the planned lines and the walking lengths of the walking linear magnetic track traces and the arc linear magnetic track traces and the detection contents of the transformer substation equipment needing to be detected, and the inspection robot needing to participate in inspection is put into the daily inspection of the transformer substation after the deep learning is finished;
(c) according to the landform and landform of a ground detection area, a plurality of linear track traces and arc-shaped track traces are arranged on the ground detection area, the arranged linear track traces are marked as A1 linear track trace, A2 linear track trace and A3 linear track trace … …, and the arranged arc-shaped track traces are marked as B1 arc-shaped track trace, B2 arc-shaped track trace and B3 arc-shaped track trace … …; setting diversion RFID labels at intersections of the ground detection area, and marking the diversion RFID labels as C1 diversion RFID labels, C2 diversion RFID labels and C3 diversion RFID labels … …;
(d) setting a detection RFID tag on substation equipment needing to be inspected, and marking the detection RFID tag as a D1 detection RFID tag, a D2 detection RFID tag and a D3 detection RFID tag … …;
(e) the inspection robot inspects the ground detection area: the worker starts the obstacle crossing intelligent inspection robot and the magnetic track navigation intelligent inspection robot to the starting position of the linear magnetic track trace to work;
(f) the inspection robot inspects the high-altitude detection area: the working personnel place the climbing intelligent inspection robot and the pole-climbing intelligent inspection robot to the starting position of the linear magnetic track trace to start working;
in the step (f), the intelligent climbing inspection robot works as follows:
the intelligent climbing inspection robot firstly travels along a linear magnetic track trace, when encountering a slope-shaped obstacle, the intelligent climbing inspection robot processes information transmitted by the sensor acquisition module according to the deep learning in the step (b), judges whether the inspection robot with the climbing mechanism can cross the slope-shaped obstacle in a climbing or crawling manner, if so, firstly travels right ahead the slope-shaped obstacle through the crawler mechanism, then acquires the integral gradient of the slope-shaped obstacle according to the trinocular vision sensor, adjusts the extension length of a front climbing arm, and simultaneously adjusts a sucker device matched with the front climbing arm to ensure that an electric sucker is adsorbed on the slope surface of the obstacle; then, according to the same mode, the extension length of the rear side climbing arm is adjusted, and meanwhile, a sucker device matched with the rear side climbing arm is adjusted to ensure that the electric sucker is adsorbed on the slope surface of the slope-shaped barrier; when the gradient of the slope-shaped barrier changes, the length and the direction of the climbing arm matched with the gradient of the slope-shaped barrier are found by adjusting the extension length and the direction of the climbing arm, and the climbing work of the section of the barrier is completed through the sucker device;
if the robot cannot cross the slope-shaped obstacle, judging whether the robot can bypass the slope-shaped obstacle or not through the radar obstacle avoidance sensor, if the robot can bypass the slope-shaped obstacle, judging the size, the volume and the width of the obstacle through the radar obstacle avoidance sensor and the trinocular vision sensor, enabling the inspection robot to smoothly bypass the slope-shaped obstacle, and ensuring that the inspection robot bypasses the obstacle to perform subsequent inspection work;
if the vehicle can not bypass the front obstacle, an alarm system gives an alarm to prompt the staff to come for treatment;
after the robot passes through the slope-shaped barrier, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped magnetic track trace.
In the step (f), the pole-climbing intelligent inspection robot works as follows:
the intelligent pole climbing inspection robot firstly walks along a linear magnetic track trace, when a pole needs to be climbed, the relative distance between the inspection robot and the pole needing to be climbed is firstly measured through an infrared distance measuring sensor, then an image of the pole is acquired through a trinocular vision sensor, the diameter of the pole, the vertical height of the pole and the included angle between the pole and the horizontal plane are acquired, and the acquired information is transmitted to a master control system through a sensor acquisition module;
the main control system processes information transmitted by the sensor acquisition module, judges whether the inspection robot can climb through the rod, if the inspection robot can climb through the rod, the inspection robot firstly walks to the bottom of the rod through a crawler mechanism, acquires the diameter of the rod, the vertical height of the rod and the included angle between the rod and a horizontal plane according to a trinocular vision sensor, adjusts the extending lengths of the climbing arms on the front side and the rear side, adjusts the posture of the inspection robot to be in a state matched with the rod, then clamps the rod by three chucks by controlling the climbing device of the climbing arm on the front side, enables the climbing arm on the front side to climb the rod, controls the climbing device of the climbing arm on the rear side in the same mode, clamps the rod by three chucks, enables the climbing arm on the rear side to climb the rod, and finally repeats the climbing operation to complete the whole climbing process;
if the climbing rod cannot climb through the rod, an alarm system gives an alarm to prompt a worker to come for treatment;
after passing through the rod, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped magnetic track trace.
Further, in the step (e), the intelligent inspection robot with magnetic track navigation specifically works as follows: the main control system controls the motion control system to enable the inspection robot to walk along the linear magnetic track trace and the arc-shaped magnetic track trace, the real-time position and road condition of the current inspection robot are known according to a digital PID position type control algorithm, and the deviation amount of the inspection robot at the moment is confirmed and specifically expressed as
Figure BDA0002770937060000051
In the formula, c (j) is the difference between the target value and the position and the posture of the inspection robot at the current moment, and c (j-1) is the value at the previous moment; when meeting the intersection, the three-eye vision sensor acquires the road condition information of the current intersection, sends the road condition information to the main control system, performs directional navigation identification through the magnetic track line, performs corresponding judgment through the main control system after the vision acquisition is combined with the magnetic track line, selects a proper route, and passes through the RFID identifier on the inspection robotAfter the RFID tags are matched with the corresponding turning RFID tags, the master control system controls the motion control system to enable the inspection robot to pass through the intersection for the next inspection work; after the trinocular vision sensor collects the transformer substation equipment needing to be inspected in front, the RFID identifier on the inspection robot identifies the corresponding detection RFID tag, the inspection robot finishes the inspection work of the transformer substation equipment and judges whether the transformer substation equipment is normal or not, and if the transformer substation equipment is normal, the inspection robot carries out the next inspection work; and if the power station equipment is abnormal, the inspection robot inspects the power station equipment, and then the inspection work is carried out after the inspection is finished.
Further, in the step (e), the obstacle crossing intelligent inspection robot specifically works as follows:
when a front obstacle is encountered, judging whether the inspection robot can cross the obstacle according to the deep learning in the step (b), if so, walking to the position right in front of the obstacle through a crawler mechanism, then acquiring the size, the volume and the height of the obstacle according to a trinocular vision sensor, and when the height of the obstacle is smaller than the height set by a control system, driving an obstacle crossing outer arm and a telescopic arm on the front side of the inspection robot to work through two obstacle crossing arms on the front side of the inspection robot by the control system, and crossing the obstacle through matching with the crawler mechanism to finish obstacle crossing work; when the height of the obstacle is larger than the height set by the control system, the control system simultaneously works through two obstacle crossing arms on the front side of the inspection robot and two obstacle crossing arms on the rear side of the inspection robot, and the obstacle crossing work is finished by crossing the obstacle through matching with a crawler mechanism;
if the robot can not cross the obstacle, judging whether the robot can pass the obstacle or not through the radar obstacle avoidance sensor, if so, judging the size, the volume and the width of the obstacle through the radar obstacle avoidance sensor and the trinocular vision sensor, so that the inspection robot can avoid the obstacle, and ensuring that the inspection robot can pass the obstacle to perform subsequent inspection work;
if the vehicle can not bypass the front obstacle, an alarm system gives an alarm to prompt the staff to come for treatment;
after passing through the barrier, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped line magnetic track trace.
Due to the adoption of the technical scheme, the method has the following beneficial effects:
the invention relates to an automatic intelligent inspection method based on substation work, which is characterized in that a monitoring background terminal is arranged to process data receiving, processing, displaying and storing of the whole inspection system, inspection robots finish specific inspection work, different types of inspection robots are respectively matched with different inspection areas, inspection efficiency is improved, and inspection modes are optimized, so that inspection work of different substation areas can be finished.
Drawings
The invention will be further described with reference to the accompanying drawings in which:
fig. 1 is a schematic structural diagram of a substation intelligent inspection system in embodiment 1 of the present invention;
fig. 2 is a schematic control structure diagram of the inspection robot in embodiment 1 of the present invention;
fig. 3 is a schematic structural diagram of an information acquisition system in embodiment 1 of the present invention;
fig. 4 is a schematic structural diagram of a track trace navigation intelligent inspection robot in embodiment 2 of the present invention;
fig. 5 is a schematic structural diagram of a traveling line of the inspection robot formed by the mutual connection between the linear track trace and the arc-shaped track trace in embodiment 2 of the present invention;
fig. 6 is a schematic diagram of a track trace layout structure of a t-junction in embodiment 2 of the present invention;
fig. 7 is a schematic diagram of a track trace layout structure of a cross intersection in embodiment 2 of the present invention;
fig. 8 is a schematic diagram of a track trace layout structure of an arc intersection in embodiment 2 of the present invention;
fig. 9 is a schematic structural diagram of the obstacle-crossing intelligent inspection robot in embodiment 3 of the present invention;
fig. 10 is a schematic structural view of an obstacle crossing arm rotation adjusting device and a center of gravity adjusting mechanism arranged in a base of an obstacle crossing intelligent inspection robot in embodiment 3 of the present invention;
fig. 11 is a schematic view of an internal structure of an obstacle detouring arm according to embodiment 3 of the present invention;
fig. 12 is a schematic structural view of the climbing intelligent inspection robot in embodiment 4 of the present invention;
fig. 13 is a schematic structural view of a climbing arm rotation adjusting device and a gravity center adjusting mechanism arranged in a base of a climbing intelligent inspection robot in embodiment 4 of the present invention;
fig. 14 is a schematic view of the internal structure of a climbing arm according to embodiment 4 of the present invention;
fig. 15 is a schematic structural view of the pole-climbing intelligent inspection robot in embodiment 5 of the present invention;
fig. 16 is a schematic structural view of a pole-climbing arm rotation adjustment device disposed in a base of a pole-climbing intelligent inspection robot in embodiment 4 of the present invention;
fig. 17 is a schematic view of the internal structure of a lever arm according to embodiment 4 of the present invention;
FIG. 18 is a schematic structural view of a driving assembly of a climbing arm clamp according to embodiment 4 of the present invention
Fig. 19 is a schematic side view of a driving assembly of a climbing arm clamp according to embodiment 4 of the present invention.
In the figure: 1-a robot body; 2-straight track trace; 3-an arcuate line track trace; 4-an RFID identifier; 5-turning the RFID tag; 6-detecting the RFID tag; 7-a master control system; 8-a front magnetic sensing device; 9-rear magnetic sensing device; 10-trinocular vision sensor; 11-radar obstacle avoidance sensors; 12-attitude sensors; 13-an infrared ranging sensor; 14-a temperature and humidity sensor; 15-alarm lamp; 16-an alarm horn; 17-a crawler mechanism; 18-a stand; 19-obstacle detouring arm; 20-obstacle crossing outer arm; 21-a telescopic arm; 22-a guide rail; 23-a guide slide block; 24-a drive screw; 25-a drive nut; 26-a screw motor; 27-adjusting the motor; 28-adjusting the output shaft; 29-regulating the driving wheel; 30-adjusting the driven wheel; 31-adjusting the driven shaft; 32-a rotary adjusting seat; 33-a speed reducer; 34-a counterweight block; 35-adjusting the slide block; 36-adjusting the slide rail; 37-center of gravity adjusting screw rod module; 38-climbing arm; 39-climbing outer arm; 41-a sucker rotating motor; 42-a suction cup rotating arm; 43-a suction cup driving motor; 44-an electric suction cup; 45-nut seats; 46-a climbing boom arm; 47-climbing pole outer arm; 48-a pole climbing device; 49-climbing pole connecting base; 50-a first climbing bar clamping arm; 51-a second climbing bar clamping arm; 52-an arc-shaped guide rail; 53-left clamp; 54-right chuck; 55-upper clamping head; 56-climbing rod clamping arm motor; 57-climbing rod clamping arm driving rotating shaft; 58-driven rotating shaft of the climbing clamping arm; 59-driving gear of climbing arm lock; 60-climbing arm clamp driven gear; 61-upper rack; 62-lower rack; 63-rod.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood, however, that the description herein of specific embodiments is only intended to illustrate the invention and not to limit the scope of the invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Example 1
Referring to fig. 1-3, an intelligent inspection system for a transformer substation comprises a monitoring background terminal, a wireless communication device and an inspection robot,
the monitoring background terminal is a data receiving, processing, displaying and storing center of the whole inspection system, remote control and data transmission are realized through the wireless communication equipment and the inspection robot, and automatic identification, inspection and alarm of the substation equipment are realized.
The monitoring background terminal mainly comprises an application unit, a function service unit, an interface communication unit and a database. ,
the application unit provides various application operations according to the requirement of the transformer substation inspection service, the specific functions of the application unit can be configured by self according to the requirement, and the main application contents comprise: the method comprises the steps of routing inspection video display, substation electronic map display, remote control operation of a routing inspection robot, routing inspection task viewing, routing inspection log viewing, routing inspection data analysis, monitoring data trend graph, user report forms and the like.
The function service unit mainly provides some basic function services around the transformer substation inspection business, provides support for the application unit, mainly includes: the method comprises the steps of inspection mode configuration selection, inspection task setting and scheduling, inspection data processing, inspection data retrieval, alarm item setting, log service and transformer substation map management.
An interface communication unit: mainly refer to through wireless network equipment, realize patrolling and examining robot and control center's interaction, mainly include: the inspection robot detects images, data, the self state of the robot and a remote control instruction of the control center to the robot.
The database mainly comprises a model database, a historical database and a real-time database, and the information contained in the database can assist the inspection robot in completing deep learning, is used for storing data of the whole system and is convenient for the monitoring background terminal to call at any time.
The wireless communication equipment is used for monitoring the background terminal and wirelessly transmitting the information of the inspection robot.
The wireless communication equipment comprises a plurality of network switches and a wireless network base station, and the network switches are arranged on the monitoring background terminal and the inspection robot.
The inspection robot is in real-time communication with the monitoring background terminal through the wireless communication equipment, so that remote transmission of inspection data and remote control of commands of the monitoring background terminal are realized.
The inspection robot comprises a master control system, a motion control system, an information acquisition system and a power supply system, wherein the motion control system, the information acquisition system, the power supply system and the wireless communication system are all connected with the master control system.
The main control system is used for receiving the remote control instruction, controlling the motion control system, completing walking, obstacle crossing, obstacle avoidance, climbing, ladder climbing, pole climbing and wire climbing work, and sending the position, pose and sensor information of the inspection robot back to the monitoring background terminal in real time so as to obtain the surrounding environment information of the inspection robot and ensure that the inspection robot completes inspection work of a transformer substation.
The motion control system is used for controlling the normal work of the driving equipment and ensuring the normal operation of the routing inspection work.
The information acquisition system acquires the current environmental information of the inspection robot through the sensor and transmits the current environmental information to the master control system, so that the information acquisition work of the transformer substation equipment needing to be inspected is completed.
A power supply system: the power supply device is used for supplying power to the power utilization equipment of the inspection robot, and the sustainable cruising operation of the inspection robot is guaranteed.
The inspection robots are divided into obstacle-crossing intelligent inspection robots, climbing intelligent inspection robots, pole-climbing intelligent inspection robots and magnetic track trace navigation intelligent inspection robots.
The obstacle-crossing intelligent inspection robot helps the inspection robot to complete obstacle-crossing and obstacle-avoiding work through an obstacle-crossing mechanism arranged on the body, and is convenient for daily inspection of an area of a transformer substation, which needs to cross the obstacle.
The climbing intelligent inspection robot has the advantages that the climbing mechanism arranged on the body helps the inspection robot to complete climbing and ladder climbing work, and daily inspection is performed on the region where the transformer substation needs to climb and climb the ladder conveniently.
The pole climbing intelligent inspection robot finishes pole climbing and climbing work through the pole climbing mechanism help arranged on the body, and is convenient for daily inspection of the region where the transformer substation needs to climb and climb the ladder.
The intelligent inspection robot for the magnetic track trace navigation completes the planar walking inspection work of the inspection robot by matching the magnetic track trace and the RFID label laid on the transformer substation level ground to be inspected through the RFID identifier arranged on the body.
Specifically, the information acquisition system comprises a trinocular vision sensor, a radar obstacle avoidance sensor, an attitude sensor, an infrared distance measurement sensor, a temperature and humidity sensor and a sensor acquisition module, wherein the trinocular vision sensor, the radar obstacle avoidance sensor, the attitude sensor, the infrared distance measurement sensor and the temperature and humidity sensor are all connected with the sensor acquisition module, and the sensor acquisition module is connected with the master control system.
The trinocular vision sensor is arranged on the upper portion of the master control system, the radar obstacle avoidance sensor is arranged on the side face of the base, and the attitude sensor, the infrared distance measurement sensor and the temperature and humidity sensor are arranged on the base.
And a holder is arranged below the trinocular vision sensor and used for controlling the posture of the trinocular vision sensor. The binocular vision sensor is characterized in that a high-definition camera is added on the basis of an original binocular vision sensor, pictures in front of the inspection robot are taken, three-dimensional information is obtained through image processing, and then a CAD model is constructed through surface fitting to obtain information in front of the inspection robot. Because the camera is added, the measuring blind area is reduced, and the phenomenon of mismatching caused by fuzzy characteristic points in binocular vision is avoided as much as possible.
Specifically, after the trinocular vision sensor identifies a front target object, the infrared distance measuring sensor measures the relative position of the inspection robot and the inspection robot, the size and the size of the target object are calculated, information of the target object is sent to the main control system, the main control system transmits data of the target object to the motion control system, and the motion control system controls the inspection robot to move to the front of the target object for related inspection operation.
The radar obstacle avoidance sensor is used for helping to avoid the obstacle when the obstacle in front is detected to be unable to pass by, and the radar obstacle avoidance sensor is used for helping to avoid the obstacle.
The attitude sensor is used for measuring the three-dimensional attitude of the current inspection robot.
The infrared distance measuring sensor determines the position of the inspection robot by acquiring the concrete of the objects around the transformer substation.
The temperature and humidity sensor is used for measuring temperature and humidity information of the surrounding environment of the transformer substation.
The sensor acquisition module is used for acquiring information of the trinocular vision sensor, the radar obstacle avoidance sensor, the attitude sensor, the infrared distance measurement sensor and the temperature and humidity sensor.
Specifically, still be equipped with alarm system on patrolling and examining the robot, alarm system includes alarm lamp and warning loudspeaker. The alarm lamp and the alarm horn are arranged on the front side of the master control system.
An alarm lamp: the flashing alarm lamp plays a role in warning when the inspection robot meets special conditions.
Alarm horn: the alarming robot is used for whistling when the inspection robot meets special conditions, and plays a role in alarming.
The invention also provides a transformer substation intelligent inspection method matched with the system, which comprises the following steps:
(a) firstly, the geographical map information of the transformer substation is called through a database of a monitoring background terminal; then dividing a detection area according to the substation equipment to be detected, wherein the detection area comprises a ground detection area and a high-altitude detection area; and finally, matching the detection areas with corresponding inspection robots as required, matching the obstacle crossing intelligent inspection robot and the magnetic trace navigation intelligent inspection robot in the ground detection area, and matching the climbing intelligent inspection robot and the pole climbing intelligent inspection robot in the high-altitude detection area.
The ground detection area generally refers to the first floor ground area in the transformer substation factory building and the ground area outside the transformer substation factory building, and the area scope is generally mainly flat ground, conveniently lays straight line magnetic track trace and arc line magnetic track trace to the planning route is patrolled and examined in convenient design, patrols and examines robot and patrol and examine work comparison convenient and fast through magnetic track navigation intelligence. In addition, the ground detection area is also provided with a part of uneven areas, and on one hand, the magnetic track traces are inconvenient to lay, so that the obstacle-crossing intelligent inspection robot is required to carry out independent detection, the transformer substation inspection is refined, and the labor is divided, so that the detection efficiency is improved.
The high-altitude detection area generally refers to a floor area above a second floor in the plant, a wall and a roof area in the plant, high-altitude power transmission line detection outside the plant and some special positions of the high-altitude power transmission line detection, for example, the special positions are higher relative to the inspection robot, and for example, the transformer substation equipment can be detected only after the special positions need to go up a slope, climb a line, climb a pole and the like. The detection of these positions needs to be accomplished through climbing intelligent inspection robot and pole-climbing intelligent inspection robot.
(b) The inspection robot needing to participate in inspection is subjected to deep learning, the contents of the deep learning comprise the area needing to be detected by the inspection robot, the planned lines and the walking lengths of the walking linear magnetic track traces and the walking arc linear magnetic track traces, and the detection contents of the transformer substation equipment needing to be detected, and the inspection robot needing to participate in inspection is put into the routine inspection of the transformer substation after the deep learning is finished.
(c) According to the terrain and features of the ground detection area, referring to fig. 5, a plurality of linear track traces and arc-shaped line track traces are arranged on the ground detection area and are connected end to form a patrol line, and the plurality of linear track traces are marked as a1 linear track trace, a2 linear track trace and A3 linear track trace … …, and the plurality of arc-shaped line track traces are marked as B1 arc-shaped line track trace, B2 arc-shaped line track trace and B3 arc-shaped line track trace … …; and (4) setting diversion RFID tags at intersections of the ground detection area, marking the diversion RFID tags as C1 diversion RFID tags, C2 diversion RFID tags and C3 diversion RFID tags … …, and making corresponding early-stage preparation for the inspection work of the transformer substation.
(d) The substation equipment needing to be patrolled is provided with the detection RFID tag, the detection RFID tag is marked as D1 detection RFID tag, D2 detection RFID tag and D3 detection RFID tag … …, and the intelligent identification substation patrol equipment of the patrol robot is convenient to patrol.
(e) The inspection robot inspects the ground detection area: according to the division of the ground detection area in the step (a), the worker carries out corresponding position layout on the obstacle crossing intelligent inspection robot and the magnetic track navigation intelligent inspection robot, and places the obstacle crossing intelligent inspection robot and the magnetic track navigation intelligent inspection robot at the starting position of the corresponding linear magnetic track line to start working. For example, for the obstacle crossing intelligent inspection robot, the main ground area for detection is the detection area with uneven ground and needing obstacle crossing and obstacle avoidance, and the obstacle crossing intelligent inspection robot is relied on to carry out detection work and is suitable. For example, aiming at a ground flat area, the magnetic track traces are convenient to arrange, a routing inspection planning route is convenient to design, and the intelligent inspection robot navigates through the magnetic track traces to perform inspection work conveniently and quickly.
(f) The inspection robot inspects the high-altitude detection area: according to the division of the high-altitude detection area in the step (a), the worker lays the climbing intelligent inspection robot and the climbing intelligent inspection robot at corresponding positions, places the climbing intelligent inspection robot and the climbing intelligent inspection robot at the starting positions of the corresponding linear magnetic track traces and starts working. For example, for the areas needing climbing and climbing stairs, the intelligent climbing inspection robot is suitable for detection. To needs pole-climbing and climbing line, for example when detecting the power transmission line outside the factory building, often need carry out detection work through pole-climbing robot.
Specifically, in the step (e), the intelligent inspection robot with magnetic track navigation specifically works as follows: the main control system controls the motion control system to enable the inspection robot to walk along the linear magnetic track trace and the arc-shaped magnetic track trace, the real-time position and road condition of the current inspection robot are known according to a digital PID position type control algorithm, and the deviation amount of the inspection robot at the moment is confirmed and specifically expressed as
Figure BDA0002770937060000121
In the formula, c (j) is the difference between the target value and the position and the posture of the inspection robot at the current moment, and c (j-1) is the value at the previous moment; when meeting an intersection, acquiring road condition information of the current intersection through a trinocular vision sensor, sending the road condition information to a main control system, carrying out directional navigation identification through a magnetic track line, combining the vision acquisition with the magnetic track line, making corresponding judgment by the main control system, selecting a proper route, matching and passing through an RFID (radio frequency identification) identifier on an inspection robot and a corresponding turning RFID (radio frequency identification) tag, and controlling a motion control system by the main control system to enable the inspection robot to pass through the intersection to carry out the next inspection work; after the trinocular vision sensor collects the transformer substation equipment needing to be inspected in front, the RFID identifier on the inspection robot identifies the corresponding detection RFID tag, the inspection robot finishes the inspection work of the transformer substation equipment and judges whether the transformer substation equipment is normal or not, and if the transformer substation equipment is normal, the inspection robot carries out the next inspection work; and if the power station equipment is abnormal, the inspection robot inspects the power station equipment, and then the inspection work is carried out after the inspection is finished.
Specifically, in the step (e), the obstacle crossing intelligent inspection robot works as follows:
when a front obstacle is encountered, judging whether the inspection robot can cross the obstacle according to the deep learning in the step (b), if so, walking to the position right in front of the obstacle through a crawler mechanism, then acquiring the size, the volume and the height of the obstacle according to a trinocular vision sensor, and when the height of the obstacle is smaller than the height set by a control system, driving an obstacle crossing outer arm and a telescopic arm on the front side of the inspection robot to work through two obstacle crossing arms on the front side of the inspection robot by the control system, and crossing the obstacle through matching with the crawler mechanism to finish obstacle crossing work; when the height of the obstacle is larger than the height set by the control system, the control system simultaneously works through two obstacle crossing arms on the front side of the inspection robot and two obstacle crossing arms on the rear side of the inspection robot, and the obstacle crossing work is finished by crossing the obstacle through matching with a crawler mechanism;
if the robot can not cross the obstacle, judging whether the robot can pass the obstacle or not through the radar obstacle avoidance sensor, if so, judging the size, the volume and the width of the obstacle through the radar obstacle avoidance sensor and the trinocular vision sensor, so that the inspection robot can avoid the obstacle, and ensuring that the inspection robot can pass the obstacle to perform subsequent inspection work;
if the vehicle can not bypass the front obstacle, an alarm system gives an alarm to prompt the staff to come for treatment;
after passing through the barrier, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped line magnetic track trace.
Specifically, in step (f), the climbing intelligent inspection robot works as follows:
the intelligent climbing inspection robot firstly travels along a linear magnetic track trace, when encountering a slope-shaped obstacle, the intelligent climbing inspection robot processes information transmitted by the sensor acquisition module according to the deep learning in the step (b), judges whether the inspection robot with the climbing mechanism can cross the slope-shaped obstacle in a climbing or crawling manner, if so, firstly travels right ahead the slope-shaped obstacle through the crawler mechanism, then acquires the integral gradient of the slope-shaped obstacle according to the trinocular vision sensor, adjusts the extension length of a front climbing arm, and simultaneously adjusts a sucker device matched with the front climbing arm to ensure that an electric sucker is adsorbed on the slope surface of the obstacle; then, according to the same mode, the extension length of the rear side climbing arm is adjusted, and meanwhile, a sucker device matched with the rear side climbing arm is adjusted to ensure that the electric sucker is adsorbed on the slope surface of the slope-shaped barrier; when the gradient of the slope-shaped barrier changes, the length and the direction of the climbing arm matched with the gradient of the slope-shaped barrier are found by adjusting the extension length and the direction of the climbing arm, and the climbing work of the section of the barrier is completed through the sucker device;
if the robot cannot cross the slope-shaped obstacle, judging whether the robot can bypass the slope-shaped obstacle or not through the radar obstacle avoidance sensor, if the robot can bypass the slope-shaped obstacle, judging the size, the volume and the width of the obstacle through the radar obstacle avoidance sensor and the trinocular vision sensor, enabling the inspection robot to smoothly bypass the slope-shaped obstacle, and ensuring that the inspection robot bypasses the obstacle to perform subsequent inspection work;
if the vehicle can not bypass the front obstacle, an alarm system gives an alarm to prompt the staff to come for treatment;
after the robot passes through the slope-shaped barrier, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped magnetic track trace.
Specifically, in step (f), the pole-climbing intelligent inspection robot works as follows:
the intelligent pole climbing inspection robot firstly walks along a linear magnetic track trace, when a pole needs to be climbed, the relative distance between the inspection robot and the pole needing to be climbed is firstly measured through an infrared distance measuring sensor, then an image of the pole is acquired through a trinocular vision sensor, the diameter of the pole, the vertical height of the pole and the included angle between the pole and the horizontal plane are acquired, and the acquired information is transmitted to a master control system through a sensor acquisition module;
the main control system processes information transmitted by the sensor acquisition module, judges whether the inspection robot can climb through the rod, if the inspection robot can climb through the rod, the inspection robot firstly walks to the bottom of the rod through a crawler mechanism, acquires the diameter of the rod, the vertical height of the rod and the included angle between the rod and a horizontal plane according to a trinocular vision sensor, adjusts the extending lengths of climbing arms on the front side and the rear side, adjusts the posture of the inspection robot to be in a state matched with the rod, then clamps the rod by three chucks by controlling a climbing device of the climbing arm on the front side, enables the climbing arm on the front side to climb the rod, then controls a climbing device of the climbing arm on the rear side in the same mode, clamps the rod by the three chucks, enables the climbing arm on the rear side to climb the rod, and finally repeats the climbing operation to complete the whole climbing process;
if the climbing rod cannot climb through the rod, an alarm system gives an alarm to prompt a worker to come for treatment;
after passing through the rod, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped magnetic track trace.
Example 2
For the specific ground plane work, the embodiment provides the corresponding track trace navigation intelligent inspection robot and the navigation method thereof.
Referring to fig. 4 to 8, the magnetic track navigation intelligent inspection robot comprises a robot body 1, a plurality of linear magnetic track traces 2, a plurality of arc-shaped magnetic track traces 3, an RFID tag and an RFID identifier 4, wherein the linear magnetic track traces 2 are connected with the arc-shaped magnetic track traces 3, and the linear magnetic track traces 2 and the arc-shaped magnetic track traces 3 are connected with each other to form a walking line of the inspection robot. A routing inspection route is laid by arranging a plurality of linear magnetic track traces 2 and a plurality of arc-shaped magnetic track traces 3, and preparation is made for the routing inspection work of a ground flat land area.
The robot body 1 is provided with an RFID recognizer 4, the side surfaces of the linear magnetic track line 2 and the arc-shaped magnetic track line 3 are provided with RFID labels, and the RFID labels are matched with the RFID recognizer 4. Through setting up RFID label and RFID recognizer 4, the RFID label divide into diversion RFID label 5 and detection RFID label 6, and diversion RFID label 5 sets up on arc line magnetic track line 3, conveniently patrols and examines the robot diversion discernment. The detection RFID tag 6 is arranged on the detection equipment, the information of the detected substation equipment is marked on the detection RFID tag 6, the RFID identifier 4 can conveniently read the information of the substation equipment, and the intelligent level of the inspection robot is improved.
The robot body 1 further comprises a master control system 7, a motion control system, an information acquisition system and a power supply system which are arranged on the base, and the motion control system, the information acquisition system and the power supply system are all connected with the master control system 7.
The master control system 7: the remote control system is used for receiving remote control instructions, controlling the motion control system, enabling the inspection robot to walk along the linear magnetic track trace 2 and the arc-shaped magnetic track trace 3, and sending back the position, the pose and the sensor information of the inspection robot to the monitoring background terminal in real time so as to obtain the surrounding environment information of the transformer substation and ensure that the inspection robot finishes the inspection work of the transformer substation.
A motion control system: the device is used for controlling the normal work of the driving equipment and ensuring the normal operation of the inspection work.
The information acquisition system comprises: and acquiring related information around the inspection point of the transformer substation through the sensor, and transmitting the related information to the master control system 7 to finish information acquisition work around the transformer substation.
A power supply system: the power supply device is used for supplying power to the power utilization equipment of the inspection robot, and the sustainable cruising operation of the inspection robot is guaranteed.
Specifically, referring to fig. 4, the lower portion of the robot body 1 is provided with a magnetic sensing device including a front magnetic sensing device 8 and a rear magnetic sensing device 9, the front magnetic sensing device 8 being used for front navigation of the inspection robot, and the rear magnetic sensing device 9 being used for rear positioning of the inspection robot. This magnetic sensing equipment is magnetic sensor, through two sets of magnetic sensors around setting up, cooperation straight line magnetic track trace 2 and arc line magnetic track trace 3, fixes a position the navigation to patrolling and examining the robot, makes it can not deviate the preset route in the motion process, reduces and patrols and examines the trouble, improves and patrols and examines the quality.
Specifically, the information acquisition system includes that trinocular vision sensor 10, radar keep away barrier sensor 11, attitude sensor 12, infrared distance measuring sensor 13, temperature and humidity sensor 14 and sensor acquisition module, and trinocular vision sensor 10, radar keep away barrier sensor 11, attitude sensor 12, infrared distance measuring sensor 13, temperature and humidity sensor 14 all are connected with sensor acquisition module, and sensor acquisition module connects major control system 7.
The robot body 1 further comprises an alarm system, and the alarm system comprises an alarm lamp 15 and an alarm horn 16;
the alarm lamp 15: the alarming lamp 15 is used for flashing when the inspection robot meets special conditions, so that the function of alarming is achieved;
the alarm horn 16: the alarming robot is used for whistling when the inspection robot meets special conditions, and plays a role in alarming.
Crawler mechanisms 17 are provided on both sides of the robot body 1. The crawler 17 is a crawler 17 of the prior art, and the specific structure thereof will not be described herein.
The embodiment provides a magnetic trace navigation intelligent inspection robot navigation method matched with a trace navigation intelligent inspection robot, which comprises the following steps:
(a) the geographical map information of the transformer substation is called through a database of a monitoring background terminal, according to the terrain and the landform of a ground detection area, referring to fig. 5, a plurality of linear magnetic track traces 2 and arc-shaped magnetic track traces 3 are arranged on the ground detection area, wherein the ground detection area mainly aims at the area with flat ground and small gradient fluctuation. The plurality of linear track traces 2 provided are labeled a1 linear track trace, a2 linear track trace, A3 linear track trace … …, and the plurality of arcuate line track traces 3 provided are labeled B1 arcuate line track trace, B2 arcuate line track trace, B3 arcuate line track trace … …; the diversion RFID tags 5 are arranged at intersections in the ground detection area, and the diversion RFID tags 5 are marked as C1 diversion RFID tags, C2 diversion RFID tags and C3 diversion RFID tags … …, wherein the intersections are generally divided into T-shaped intersections, cross intersections and arc intersections, and specific reference can be made to FIG. 6, FIG. 7 and FIG. 8.
(b) The inspection robot needing to participate in inspection is subjected to deep learning, the contents of the deep learning comprise the area needing to be detected by the inspection robot, the planned lines and the walking lengths of the walking linear magnetic track traces and the walking arc linear magnetic track traces, and the detection contents of the transformer substation equipment needing to be detected, and the inspection robot needing to participate in inspection is put into the routine inspection of the transformer substation after the deep learning is finished.
(c) The method comprises the steps of setting a detection RFID tag 6 on substation equipment needing to be inspected, marking the detection RFID tag 6 as a D1 detection RFID tag, a D2 detection RFID tag and a D3 detection RFID tag … ….
(d) The inspection robot inspects the ground detection area: the staff starts working from the intelligent inspection robot for magnetic track navigation to the starting position of the linear magnetic track trace; the specific process is as follows: the main control system 7 controls the motion control system to enable the inspection robot to walk along the linear magnetic track trace and the arc-shaped magnetic track trace, the real-time position and road condition of the current inspection robot are known according to a digital PID position type control algorithm, and the deviation amount of the inspection robot at the moment is confirmed and specifically expressed as
Figure BDA0002770937060000171
In the formula, c (j) is the difference between the target value and the position and the posture of the inspection robot at the current moment, and c (j-1) is the value at the previous moment; when meeting an intersection, acquiring road condition information of the current intersection through the trinocular vision sensor 10, sending the road condition information to the main control system 7, performing directional navigation identification through the magnetic track line, combining the vision acquisition with the magnetic track line, making corresponding judgment by the main control system 7, selecting a proper route, matching the proper route with a corresponding turning RFID label through the RFID identifier 4 on the inspection robot, and controlling the motion control system by the main control system 7 to enable the inspection robot to pass through the intersection for next inspection work; after the trinocular vision sensor 10 collects the transformer substation equipment needing to be inspected in front, the RFID identifier 4 on the inspection robot identifies the corresponding detection RFID tag, the inspection robot finishes the inspection work of the transformer substation equipment and judges whether the transformer substation equipment is normal or not, and if the transformer substation equipment is normal, the inspection robot carries out the next inspection work; and if the power station equipment is abnormal, the inspection robot inspects the power station equipment, and then the inspection work is carried out after the inspection is finished.
Example 3
For the ground obstacle crossing work, the corresponding obstacle crossing mechanism, the obstacle crossing intelligent inspection robot and the transformer substation obstacle crossing method are arranged in the embodiment.
Referring to fig. 9, 10 and 11, the obstacle crossing mechanism comprises a base 18 and obstacle crossing arms 19, wherein the number of the obstacle crossing arms 19 is four, the obstacle crossing arms 19 are arranged on four corners of the base 18, the obstacle crossing arms 19 comprise obstacle crossing outer arms 20 and telescopic arms 21, guide sliding rails 22 are arranged on the inner walls of the obstacle crossing outer arms 20, the guide sliding rails 22 are connected with guide sliding blocks 23, the guide sliding blocks 23 are connected with lead screw modules, the lead screw modules are connected with the telescopic arms 21, and the lead screw modules can drive the telescopic arms 21 to perform telescopic motion.
Specifically, the lead screw module comprises a transmission lead screw 24, a transmission nut 25, a nut seat 45 and a lead screw motor 26, wherein the lead screw motor 26 is arranged at the end part of the obstacle crossing outer arm 20, the lead screw motor 26 is connected with the transmission lead screw 24, the transmission nut 25 is arranged on the transmission lead screw 24, the transmission nut 25 is connected with the nut seat 45, and the nut seat 45 is connected with the telescopic arm 21. Through setting up the lead screw module, drive lead screw 24 by lead screw motor 26 and move, drive lead screw 24 drives the motion of transmission nut 25 to drive telescopic boom 21 motion, thereby realize the flexible function of obstacle crossing arm 19, conveniently adjust the whole length of obstacle crossing arm 19, make it adapt to the barrier of equidimension not.
Specifically, the obstacle crossing outer arm 20 is connected with an obstacle crossing arm rotation adjusting device, the obstacle crossing arm rotation adjusting device comprises an adjusting motor 27, an adjusting output shaft 28, an adjusting driving wheel 29, an adjusting driven wheel 30, an adjusting driven shaft 31 and a rotation adjusting seat 32, the adjusting motor 27 is arranged in the base 18, the output end of the adjusting motor 27 is provided with a speed reducer 33, the speed reducer 33 is connected with the adjusting output shaft 28, the adjusting driving wheel 29 is arranged on the adjusting output shaft 28, the adjusting driving wheel 29 is connected with the adjusting driven wheel 30, the adjusting driven wheel 30 is connected with the adjusting driven shaft 31, the adjusting driven shaft 31 is connected with the rotation adjusting seat 32 at two ends, and the rotation adjusting seat 32 is. The obstacle crossing arm rotation adjusting device is arranged, the adjusting motor 27 drives the adjusting output shaft 28 to rotate, so that the adjusting driving wheel 29 is driven to move, the rotation adjusting seat 32 is driven to rotate under the meshing action of the adjusting driving wheel 29 and the adjusting driven wheel 30, the whole obstacle crossing arm 19 is driven to rotate, the rotating function of the obstacle crossing arm 19 is realized, the angle of the obstacle crossing arm 19 is conveniently adjusted, and the obstacle crossing arm is suitable for obstacles with different sizes.
Still another aspect provides an obstacle crossing intelligence inspection robot, and it includes the body, its characterized in that, the obstacle crossing mechanism that the body includes.
In particular, the body also comprises crawler tracks 17 arranged on either side of the frame 18. The track mechanism 17 is a prior art track mechanism 17 and will not be described further herein.
Specifically, the body still includes focus adjustment mechanism, and focus adjustment mechanism includes balancing weight 34, adjusting slide 35, adjusts slide rail 36 and focus accommodate the lead screw module 37, and focus accommodate the lead screw module 37 sets up in frame 18, and balancing weight 34 is connected to focus accommodate the lead screw module 37, and the lower part of balancing weight 34 is equipped with adjusting slide 35, and adjusting slide 36 is connected to adjusting slide 35.
Specifically, the body further comprises a main control system 7, a motion control system, an information acquisition system and a power supply system which are arranged on the base 18, wherein the motion control system, the information acquisition system and the power supply system are all connected with the main control system 7;
the master control system 7: the remote control system is used for receiving remote control instructions, controlling the driving of related motors, completing the functions of walking, obstacle crossing and obstacle avoidance, and sending back the position, pose and sensor information of the inspection robot to the remote control end in real time so as to acquire the surrounding environment information of the transformer substation and ensure that the inspection robot completes the inspection work of the transformer substation.
The motion control system is used for controlling the driving of the screw motor 26, the adjusting motor 27 and the track motor, and ensuring the normal work of the obstacle crossing mechanism and the obstacle crossing mechanism;
the information acquisition system acquires relevant information around the inspection point of the transformer substation through the sensor and transmits the relevant information to the main control system 7 to complete information acquisition work around the transformer substation;
the power supply system is used for supplying power to the power utilization equipment of the inspection robot, and the sustainable cruising operation of the inspection robot is guaranteed.
Specifically, the information acquisition system includes that trinocular vision sensor 10, radar keep away barrier sensor 11, attitude sensor 12, infrared distance measuring sensor 13, temperature and humidity sensor 14 and sensor acquisition module, and trinocular vision sensor 10, radar keep away barrier sensor 11, attitude sensor 12, infrared distance measuring sensor 13, temperature and humidity sensor 14 all are connected with sensor acquisition module, and sensor acquisition module connects major control system 7.
Specifically, the body further comprises an alarm system, and the alarm system comprises an alarm lamp 15 and an alarm horn 16;
the alarm lamp 15: the alarming lamp 15 is used for flashing when the inspection robot meets special conditions, so that the function of alarming is achieved;
the alarm horn 16: the alarming robot is used for whistling when the inspection robot meets special conditions, and plays a role in alarming. .
In another aspect, a transformer substation obstacle crossing method of the intelligent inspection robot is provided, which is characterized by comprising the following steps:
(a) the inspection robot is placed in a transformer substation for inspection work, an information acquisition system is used for detecting the surrounding environment, and the position of the inspection robot is determined by detecting the distance information between the inspection robot and the surrounding objects and a GPS (global positioning system) positioning module of a main control system 7;
(b) firstly, measuring the relative distance between the inspection robot and an obstacle by an infrared distance measuring sensor 13, then acquiring the image of the obstacle by a trinocular vision sensor 10, acquiring the size, the volume and the height of the obstacle, and transmitting the acquired information to a main control system 7 by a sensor acquisition module;
(c) the main control system 7 processes information transmitted by the sensor acquisition module, judges whether the inspection robot can cross an obstacle or not, if the inspection robot can cross the obstacle, the step (d) is carried out, if the inspection robot cannot cross the obstacle, the radar obstacle avoidance sensor 11 judges whether the inspection robot can bypass the obstacle or not, if the inspection robot can bypass the obstacle, the step (e) is carried out, and if the inspection robot cannot bypass the obstacle in front, the alarm system gives an alarm to prompt a worker to carry out treatment;
(d) firstly, the robot walks to the position right in front of an obstacle through a crawler mechanism 17, then the size, the volume and the height of the obstacle are acquired according to a trinocular vision sensor 10, when the height of the obstacle is smaller than the height set by a control system, the control system drives an obstacle crossing outer arm 20 and a telescopic arm 21 on the front side of the inspection robot to work through two obstacle crossing arms 19 on the front side of the inspection robot, and the obstacle crossing work is finished by matching with the crawler mechanism 17 to cross the obstacle; when the height of the obstacle is larger than the height set by the control system, the control system simultaneously works through the two obstacle crossing arms 19 on the front side of the inspection robot and the two obstacle crossing arms 19 on the rear side of the inspection robot, and passes over the obstacle through matching with the crawler belt mechanism 17 to finish obstacle crossing work;
(e) the size, the volume and the width of the obstacle are judged through the radar obstacle avoidance sensor 11 and the trinocular vision sensor 10, so that the inspection robot avoids the obstacle, and the inspection robot is guaranteed to bypass the obstacle to perform subsequent inspection work.
The obstacle crossing intelligent inspection robot is matched with four obstacle crossing arms 19, the front two obstacle crossing arms 19 are matched with the rear two obstacle crossing arms 19, the front two obstacle crossing arms 19 work in a coordinated mode, and the rear two obstacle crossing arms 19 work in a coordinated mode, namely the front two obstacle crossing arms 19 work independently of the rear two obstacle crossing arms 19. The normal subaerial inspection is under the condition of not meetting the barrier, and the plane walking is accomplished by crawler 17, satisfies the general walking needs of patrolling and examining the robot. When the robot encounters an obstacle, the size, the volume and the height of the obstacle are generally acquired after the image of the obstacle is acquired through trinocular vision, the acquired information is transmitted to the main control system 7 through the sensor acquisition module, and the main control system 7 judges which posture of the intelligent inspection robot crosses the obstacle. The obstacle crossing method specifically comprises three modes of crossing an obstacle and one mode of avoiding the obstacle, wherein the three modes of crossing the obstacle are as follows: the height of the obstacle is less than that of the wheels of the crawler belt mechanism 17, and the obstacle can be crossed by directly relying on the crawler belt mechanism 17 and the gravity center adjusting mechanism without relying on four obstacle crossing arms 19. Secondly, the method comprises the following steps: when the height of the obstacle is less than the maximum extension of the obstacle crossing arm 19, the obstacle can be crossed by the action of the front two obstacle crossing arms 19 and the gravity center adjusting mechanism without depending on the crawler belt mechanism 17. When the height of the obstacle is less than 1.5 times of the maximum extension of the obstacle crossing arm 19, the obstacle can be crossed by the action of the front obstacle crossing arm 19, the rear obstacle crossing arm 19 and the gravity center adjusting mechanism instead of the crawler belt mechanism 17. When the height of the obstacle is larger than 1.5 times of the maximum extension amount of the obstacle crossing arm 19, if the master control system 7 judges that the obstacle can pass through the obstacle in an obstacle avoiding mode, the inspection robot avoids the obstacle, and the inspection robot is guaranteed to bypass the obstacle to perform subsequent inspection work. If the front obstacle can not be bypassed, an alarm system gives an alarm to prompt staff to treat the front obstacle. Therefore, the obstacle-crossing intelligent inspection robot can complete autonomous obstacle crossing according to different obstacle conditions, and the robot can realize complete autonomy completely, reliably, quickly and efficiently under the condition of no human intervention.
Example 4
To high altitude climbing, cat ladder work specifically, this embodiment has set up corresponding climbing mechanism, climbing intelligence inspection robot and the climbing method of transformer substation.
The utility model provides a climbing mechanism, including frame 18 and climbing arm 38, climbing arm 38 is provided with four, climbing arm 38 sets up on four corners of frame 18, climbing arm 38 includes climbing outer arm 39 and flexible arm 21, be equipped with direction slide rail 22 on the inner wall of climbing outer arm 39, direction slide rail 22 is connected with direction slider 23, direction slider 23 is connected with the lead screw module, the lead screw module is connected with flexible arm 21, the lead screw module can drive flexible arm 21 and carry out concertina movement, the tip of climbing arm 38 is equipped with the sucking disc device, the sucking disc device includes sucking disc rotating electrical machines 41, sucking disc swinging boom 42, sucking disc driving motor 43 and electric suction cup 44, sucking disc rotating electrical machines 41 sets up in the tip of flexible arm 21, sucking disc rotating electrical machines 41 connects sucking disc swinging boom 42, sucking disc driving motor 43 is connected to sucking disc swinging boom 42, sucking disc driving motor 43 connects electric suction cup 44. Through setting up the sucking disc device, it is rotatory to suitable angle to drive sucking disc swinging boom 42 by sucking disc rotating electrical machines 41, then sucking disc driving motor 43 drives electric chuck 44, makes electric chuck 44 adsorb on hillside form thing or ladder form thing to make climbing arm 38 adsorb on hillside form thing or ladder form thing, realize its climbing work.
Specifically, the lead screw module comprises a transmission lead screw 24, a transmission nut 25, a nut seat 45 and a lead screw motor 26, wherein the lead screw motor 26 is arranged at the end part of the climbing outer arm 39, the lead screw motor 26 is connected with the transmission lead screw 24, the transmission nut 25 is arranged on the transmission lead screw 24, the transmission nut 25 is connected with the nut seat 45, and the nut seat 45 is connected with the telescopic arm 21. Through setting up the lead screw module, drive the motion of transmission lead screw 24 by lead screw motor 26, transmission lead screw 24 drives the motion of transmission nut 25 to drive the motion of climbing arm 38, thereby realize the flexible function of climbing arm 38, conveniently adjust the whole length of climbing arm 38, make its adaptation not climbing work of equidimension.
Specifically, the climbing outer arm 39 is connected with climbing arm rotation adjusting device, climbing arm rotation adjusting device includes adjusting motor 27, adjust output shaft 28, adjust the action wheel 29, adjust from driving wheel 30, adjust driven shaft 31 and rotation regulation seat 32, adjusting motor 27 sets up in frame 18, adjusting motor 27's output is equipped with speed reducer 33, speed reducer 33 is connected with and adjusts output shaft 28, be equipped with on the regulation output shaft 28 and adjust the action wheel 29, it is connected with and adjusts from driving wheel 30 to adjust the action wheel 29, it is connected with and adjusts driven shaft 31 from driving wheel 30 to adjust, adjust the both ends rotation regulation seat 32 of driven shaft 31, rotation regulation seat 32 connects climbing outer arm 39. Through setting up climbing arm rotation regulation device and being rotary motion by adjusting motor 27 drive regulation output shaft 28 to drive and adjust action wheel 29 motion, under the meshing effect of adjusting action wheel 29 and regulation follow driving wheel 30, drive rotation regulation seat 32 and rotate, thereby drive whole climbing arm 38 and rotate, thereby realize climbing arm 38's rotation function, conveniently adjust climbing arm 38's angle, make its slope work that adapts to equidimension not.
On the other hand, the invention also provides an intelligent climbing inspection robot which comprises a body, wherein the body comprises the climbing mechanism.
In particular, the body also comprises crawler tracks 17 arranged on either side of the frame 18. The crawler 17 is a crawler 17 of the prior art, and the specific structure of the crawler 17 will not be described herein.
Specifically, the body still includes focus adjustment mechanism, and focus adjustment mechanism includes balancing weight 34, adjusting slide 35, adjusts slide rail 36 and focus accommodate the lead screw module 37, and focus accommodate the lead screw module 37 sets up in frame 18, and balancing weight 34 is connected to focus accommodate the lead screw module 37, and the lower part of balancing weight 34 is equipped with adjusting slide 35, and adjusting slide 36 is connected to adjusting slide 35. Through setting up focus adjustment mechanism and conveniently adjusting the whole focus position of patrolling and examining the robot, the climbing work is accomplished better to the robot of conveniently patrolling and examining.
Specifically, the body further comprises a main control system 7, a motion control system, an information acquisition system and a power supply system which are arranged on the base 18, and the motion control system, the information acquisition system and the power supply system are all connected with the main control system 7.
The master control system 7: the remote control system is used for receiving remote control instructions, controlling the driving of related motors, completing the functions of walking, climbing and obstacle avoidance, and sending back the position, pose and sensor information of the inspection robot to the remote control end in real time so as to acquire the surrounding environment information of the transformer substation and ensure that the inspection robot completes the inspection work of the transformer substation.
A motion control system: the driving device is used for controlling the driving of the screw motor 26, the adjusting motor 27 and the track motor, and ensuring the normal work of the climbing mechanism and the climbing mechanism.
The information acquisition system comprises: and relevant information around the inspection point of the transformer substation is collected through the sensor and transmitted to the master control system 7, so that relevant inspection work is completed.
A power supply system: the power supply device is used for supplying power to the power utilization equipment on the inspection robot, and the sustainable cruising operation of the inspection robot is guaranteed.
Specifically, the information acquisition system comprises a trinocular vision sensor 10, a radar obstacle avoidance sensor 11, an attitude sensor 12, an infrared distance measurement sensor 13, a temperature and humidity sensor 14, a control quality sensor and a sensor acquisition module, wherein the trinocular vision sensor 10, the radar obstacle avoidance sensor 11, the attitude sensor 12, the infrared distance measurement sensor 13, the temperature and humidity sensor 14 and the control quality sensor are all connected with the sensor acquisition module, and the sensor acquisition module is connected with the master control system 7.
Specifically, the body further comprises an alarm system, and the alarm system comprises an alarm lamp 15 and an alarm horn 16;
the alarm lamp 15: the alarming lamp 15 is used for flashing when the inspection robot meets special conditions, so that the function of alarming is achieved;
the alarm horn 16: the alarming robot is used for whistling when the inspection robot meets special conditions, and plays a role in alarming.
The invention also provides a transformer substation climbing method of the intelligent inspection robot, which is matched with the climbing intelligent inspection robot, and comprises the following steps:
(a) the inspection robot is placed in a transformer substation for inspection work, the information acquisition system is used for detecting the surrounding environment, and the position of the inspection robot is determined by detecting the distance information between the inspection robot and the surrounding objects and the GPS positioning module of the main control system 7.
(b) The relative distance between the inspection robot and the obstacle is measured through the infrared distance measuring sensor 13, then the image of the obstacle is collected through the trinocular vision sensor 10, the size, the volume and the height of the obstacle are obtained, the overall gradient size of the obstacle and the local gradient size of the obstacle are obtained, and the collected information is transmitted to the master control system 7 through the sensor collecting module.
(c) The main control system 7 processes information transmitted by the sensor acquisition module, judges whether the inspection robot can cross the barrier in a climbing mode, performs step (d) if the inspection robot can cross the barrier, judges whether the barrier can be bypassed or not through the radar obstacle avoidance sensor 11 if the inspection robot cannot cross the barrier, performs step (e) if the barrier can be bypassed, and gives an alarm by the alarm system if the front barrier cannot be bypassed to prompt a worker to process the inspection robot in the future.
(d) Firstly, walking to the right front of the barrier through the crawler mechanism 17, then acquiring the integral gradient of the barrier according to the trinocular vision sensor 10, adjusting the extension length of the front side climbing arm 38, and simultaneously adjusting a sucker device matched with the front side climbing arm 38 to ensure that the electric sucker 44 is adsorbed on the slope surface of the barrier; then, in the same manner, the extension length of the rear climbing arm 38 is adjusted, and meanwhile, the suction cup device matched with the rear climbing arm 38 is adjusted to ensure that the electric suction cup 44 is adsorbed on the slope surface of the obstacle; when the slope of the barrier changes, the length and the direction of the climbing arm 38 matched with the slope of the barrier are found by adjusting the extending length and the direction of the climbing arm 38, and the climbing work of the barrier is completed through the sucker device.
(e) The size, the volume and the width of the obstacle are judged through the radar obstacle avoidance sensor 11 and the trinocular vision sensor 10, so that the inspection robot avoids the obstacle, and the inspection robot is guaranteed to bypass the obstacle to perform subsequent inspection work.
The embodiment is provided with a corresponding pole climbing mechanism, a pole climbing intelligent inspection robot and a pole climbing method of a transformer substation aiming at the pole climbing and line climbing work at high altitude.
A climbing rod mechanism comprises a machine base 18 and climbing rod arms 46, wherein the climbing rod arms 46 are provided with four, the climbing rod arms 46 are arranged on four corners of the machine base 18, each climbing rod arm 46 comprises a climbing rod outer arm 47 and a telescopic arm 21, a guide slide rail 22 is arranged on the inner wall of each climbing rod outer arm 47, each guide slide rail 22 is connected with a guide slider 23, each guide slider 23 is connected with a lead screw module, each lead screw module is connected with the telescopic arm 21 and can drive the telescopic arm 21 to do telescopic motion, each telescopic arm 21 is connected with a climbing rod device 48, each climbing rod device 48 comprises a climbing rod connecting seat 49, climbing rod clamping arms, an arc-shaped guide rail 52 and a climbing rod clamping arm driving assembly, the upper parts of the climbing rod connecting seats 49 are connected with the telescopic arms 21, the middle parts of the climbing rod connecting seats 49 are fixed on the arc-shaped guide rail 52, the lower parts of the climbing rod connecting seats 49 are provided with upper clamping heads 55, each climbing rod clamping arm comprises a first climbing rod clamping arm 50 and a second, the tip of first pole-climbing arm lock 50 is equipped with left chuck 53, and the tip of second pole-climbing arm lock 51 is equipped with right chuck 54, and first pole-climbing arm lock 50 sets up in the left side of arc guide rail 52, and second pole-climbing arm lock 51 sets up in the right side of arc guide rail 52, all is equipped with in first pole-climbing arm lock 50 and the second pole-climbing arm lock 51 and climbs pole arm lock drive assembly. This pole climbing mechanism is earlier through climbing pole outer boom 47 and flexible arm 21, will go up chuck 55 and push up on the pole 63, then through first pole climbing arm lock 50 and second pole climbing arm lock 51, clip the left and right sides two of pole 63 respectively to realize that the bikini presss from both sides tightly, ensure the tight firmness of clamp, make it can accomplish smoothly and climb pole or climb line work.
Specifically, pole-climbing clamp arm driving assembly includes pole-climbing clamp arm motor 56, pole-climbing clamp arm initiative pivot 57, pole-climbing clamp arm driven pivot 58, pole-climbing clamp arm driving gear 59, pole-climbing clamp arm driven gear 60, go up rack 61 and lower rack 62, it sets up in the upper portion of arc guide rail 52 to go up rack 61, lower rack 62 sets up in the lower part of arc guide rail 52, pole-climbing clamp arm motor 56 fixed mounting is on the inner wall of pole-climbing clamp arm, pole-climbing clamp arm motor 56 is connected with pole-climbing clamp arm initiative pivot 57, be equipped with pole-climbing clamp arm driving gear 59 on pole-climbing clamp arm initiative pivot 57, pole-climbing clamp arm driving gear 59 connects upper rack 61, pole-climbing clamp arm driven pivot 58 sets up in the below of arc guide rail 52, pole-climbing clamp arm driven pivot 58 is connected with pole-climbing clamp arm driven gear 60, pole. Climbing pole arm lock drive assembly drives climbing pole arm lock initiative pivot 57 through climbing pole arm lock motor 56 and is rotary motion, thereby it moves to drive climbing pole arm lock driving gear 59, under the meshing effect of climbing pole arm lock driving gear 59 and last rack 61, and through the driven action of climbing pole arm lock driven gear 60 and lower rack 62, make whole climbing pole arm lock move on arc guide rail 52, because it is provided with two to climb the pole arm lock, it divide into first climbing pole arm lock 50 and second climbing pole arm lock 51 promptly to climb the pole arm lock, make left chuck 53 and right chuck 54 clip the both ends of pole 63 respectively, and through the effect of last chuck 55, want to realize the clamp tight to pole 63.
Specifically, the feed screw module comprises a transmission feed screw 24, a transmission nut 25, a nut seat 45 and a feed screw motor 26, wherein the feed screw motor 26 is arranged at the end part of the pole-climbing outer arm 47, the feed screw motor 26 is connected with the transmission feed screw 24, the transmission nut 25 is arranged on the transmission feed screw 24, the transmission nut 25 is connected with the nut seat 45, and the nut seat 45 is connected with the telescopic arm 21. Through setting up the lead screw module, drive the motion of transmission lead screw 24 by lead screw motor 26, transmission lead screw 24 drives the motion of transmission nut 25 to drive flexible arm 21 motion, thereby realize flexible function of flexible arm 21, conveniently adjust the whole length of climbing pole arm 46, make its adaptation pole work of climbing of equidimension not.
Specifically, pole climbing outer arm 47 is connected with pole climbing arm 46 rotation regulation device, pole climbing arm 46 rotation regulation device includes adjustment motor 27, adjust output shaft 28, adjust the action wheel 29, adjust from driving wheel 30, adjust driven shaft 31 and rotation regulation seat 32, adjustment motor 27 sets up in frame 18, two-way adjustment motor 27's output is equipped with speed reducer 33, speed reducer 33 is connected with and adjusts output shaft 28, be equipped with on the regulation output shaft 28 and adjust action wheel 29, it is connected with and adjusts from driving wheel 30 to adjust action wheel 29, it is connected with and adjusts driven shaft 31 to adjust from driving wheel 30, adjust the both ends rotation regulation seat 32 of driven shaft 31, pole climbing outer arm 47 is connected to rotation regulation seat 32. Through setting up climbing pole arm 46 rotation regulation device, it is rotary motion to drive by adjusting motor 27 and adjust output shaft 28 to drive and adjust the motion of action wheel 29, under the meshing effect of adjusting action wheel 29 and regulation driven wheel 30, drive rotation regulation seat 32 and rotate, thereby drive whole climbing pole arm 46 and rotate, thereby realize climbing pole arm 46's rotation function, conveniently adjust climbing pole arm 46's angle, make its not climbing work that adapts to equidimension.
In another aspect, the invention provides a pole-climbing intelligent inspection robot, which comprises a body and a pole-climbing mechanism included in the body.
In particular, the body also comprises crawler tracks 17 arranged on either side of the frame 18. The crawler 17 is a crawler 17 of the prior art, and the specific structure of the crawler 17 will not be described herein.
Specifically, the body further comprises a main control system 7, a motion control system, an information acquisition system and a power supply system which are arranged on the base 18, wherein the motion control system, the information acquisition system and the power supply system are all connected with the main control system 7;
the master control system 7: the remote control system is used for receiving a remote control instruction, controlling the driving of a related motor, completing the functions of walking, pole climbing and obstacle avoidance, and sending back the position, the pose and the sensor information of the inspection robot to a remote control end in real time so as to acquire the surrounding environment information of the transformer substation and ensure that the inspection robot completes the inspection work of the transformer substation;
a motion control system: the device is used for controlling the driving of the screw motor 26, the adjusting motor 27 and the track motor, and ensuring the normal work of the climbing rod mechanism and the climbing rod mechanism;
the information acquisition system comprises: relevant information around a substation inspection point is collected through a sensor and transmitted to a main control system 7 so as to complete relevant inspection work;
a power supply system: the power supply device is used for supplying power to the power utilization equipment on the inspection robot, and the sustainable cruising operation of the inspection robot is guaranteed.
Specifically, the information acquisition system comprises a trinocular vision sensor 10, a radar obstacle avoidance sensor 11, an attitude sensor 12, an infrared distance measurement sensor 13, a temperature and humidity sensor 14, a control quality sensor and a sensor acquisition module, wherein the trinocular vision sensor 10, the radar obstacle avoidance sensor 11, the attitude sensor 12, the infrared distance measurement sensor 13, the temperature and humidity sensor 14 and the control quality sensor are all connected with the sensor acquisition module, and the sensor acquisition module is connected with the master control system 7.
Specifically, the body further comprises an alarm system, and the alarm system comprises an alarm lamp 15 and an alarm horn 16;
the alarm lamp 15: the alarming lamp 15 is used for flashing when the inspection robot meets special conditions, so that the function of alarming is achieved;
the alarm horn 16: the alarming robot is used for whistling when the inspection robot meets special conditions, and plays a role in alarming. .
A transformer substation pole climbing method of an intelligent inspection robot comprises the following steps:
(a) the inspection robot is placed in a transformer substation for inspection work, the information acquisition system is used for detecting the surrounding environment, and the position of the inspection robot is determined by detecting the distance information between the inspection robot and the surrounding objects and the GPS positioning module of the main control system 7.
(b) When the inspection robot needs to climb the pole and inspect the work, the relative distance between the inspection robot and the pole 63 needing to climb is measured through the infrared distance measuring sensor 13, then the image of the pole 63 is acquired through the trinocular vision sensor 10, the diameter of the pole 63, the vertical height of the pole 63 and the included angle between the pole 63 and the horizontal plane are acquired, and the acquired information is transmitted to the master control system 7 through the sensor acquisition module.
(c) The main control system 7 processes the information transmitted by the sensor acquisition module, judges whether the inspection robot can climb through the rod 63, and performs the step (d) if the inspection robot can climb through the rod 63, and sends an alarm by an alarm system if the inspection robot cannot climb through the rod 63, so as to prompt a worker to come and handle.
(d) The inspection robot is firstly driven to the bottom of a rod 63 through a crawler mechanism 17, the diameter of the rod 63, the vertical height of the rod 63 and the included angle between the rod 63 and the horizontal plane are obtained according to a trinocular vision sensor 10, the extending lengths of the climbing arms 38 on the front side and the rear side are adjusted, the state of the inspection robot is adjusted to be matched with the rod 63, then the rod 63 is clamped by three chucks through a climbing device 48 controlling the climbing arm 38 on the front side, the climbing arm 46 on the front side climbs the rod 63, then the climbing device 48 controlling the climbing arm 38 on the rear side in the same mode is used for clamping the rod 63 by the three chucks, the climbing arm 46 on the rear side climbs the rod 63, and finally the climbing operation is repeated, and the whole climbing process is completed.
Example 6
Specifically, in the process of polling a transformer substation, in order to meet the requirement of polling work, when the ground area is polled, the magnetic track trace navigation intelligent polling robot and the obstacle crossing intelligent polling robot can be combined, so that the intelligent polling robot not only can adapt to area detection of plane ground, but also can adapt to ground area detection with uneven ground and more obstacles.
Example 7
Specifically, in the process of patrol and examine work of a transformer substation, in order to patrol and examine the work requirement of the work, when the high-altitude area is patrolled and examined, the obstacle-crossing intelligent patrol and examine robot and the climbing intelligent patrol and examine robot can be combined together, so that the robot can adapt to more complex high-altitude area detection.
Example 8
Specifically in the work of patrolling and examining of transformer substation, in order to patrol and examine the needs of work, patrol and examine the during operation to the high altitude region, can patrol and examine robot and climb pole intelligence with obstacle-crossing intelligence and patrol and examine the robot and combine together, make it can adapt to more complicated high altitude region and detect.
Example 9
Specifically in the work of patrolling and examining of transformer substation, in order to patrol and examine the needs of work, patrol and examine the during operation to high altitude area, can patrol and examine robot and pole-climbing intelligence with the climbing intelligence and patrol and examine the robot and combine together, make it can adapt to more complicated high altitude area and detect.
The above is only a specific embodiment of the present invention, but the technical features of the present invention are not limited thereto. Any simple changes, equivalent substitutions or modifications made on the basis of the present invention to solve the same technical problems and achieve the same technical effects are all covered in the protection scope of the present invention.

Claims (3)

1. An automatic intelligent inspection method based on substation work specifically comprises the following steps:
(a) firstly, the geographical map information of the transformer substation is called through a database of a monitoring background terminal; then dividing a detection area according to the substation equipment to be detected, wherein the detection area comprises a ground detection area and a high-altitude detection area; finally, matching corresponding inspection robots according to the required detection areas, matching obstacle-crossing intelligent inspection robots and magnetic trace navigation intelligent inspection robots in the ground detection areas, and matching climbing intelligent inspection robots and pole-climbing intelligent inspection robots in the high-altitude detection areas;
(b) the inspection robot needing to participate in inspection is subjected to deep learning, the contents of the deep learning comprise the area needing to be detected by the inspection robot, the planned lines and the walking lengths of the walking linear magnetic track traces and the arc linear magnetic track traces and the detection contents of the transformer substation equipment needing to be detected, and the inspection robot needing to participate in inspection is put into the daily inspection of the transformer substation after the deep learning is finished;
(c) according to the landform and landform of a ground detection area, a plurality of linear track traces and arc-shaped track traces are arranged on the ground detection area, the arranged linear track traces are marked as A1 linear track trace, A2 linear track trace and A3 linear track trace … …, and the arranged arc-shaped track traces are marked as B1 arc-shaped track trace, B2 arc-shaped track trace and B3 arc-shaped track trace … …; setting diversion RFID labels at intersections of the ground detection area, and marking the diversion RFID labels as C1 diversion RFID labels, C2 diversion RFID labels and C3 diversion RFID labels … …;
(d) setting a detection RFID tag on substation equipment needing to be inspected, and marking the detection RFID tag as a D1 detection RFID tag, a D2 detection RFID tag and a D3 detection RFID tag … …;
(e) the inspection robot inspects the ground detection area: the worker starts the obstacle crossing intelligent inspection robot and the magnetic track navigation intelligent inspection robot to the starting position of the linear magnetic track trace to work;
(f) the inspection robot inspects the high-altitude detection area: the working personnel place the climbing intelligent inspection robot and the pole-climbing intelligent inspection robot to the starting position of the linear magnetic track trace to start working;
in the step (f), the intelligent climbing inspection robot works as follows:
the intelligent climbing inspection robot firstly travels along a linear magnetic track trace, when encountering a slope-shaped obstacle, the intelligent climbing inspection robot processes information transmitted by the sensor acquisition module according to the deep learning in the step (b), judges whether the inspection robot with the climbing mechanism can cross the slope-shaped obstacle in a climbing or crawling manner, if so, firstly travels right ahead the slope-shaped obstacle through the crawler mechanism, then acquires the integral gradient of the slope-shaped obstacle according to the trinocular vision sensor, adjusts the extension length of a front climbing arm, and simultaneously adjusts a sucker device matched with the front climbing arm to ensure that an electric sucker is adsorbed on the slope surface of the obstacle; then, according to the same mode, the extension length of the rear side climbing arm is adjusted, and meanwhile, a sucker device matched with the rear side climbing arm is adjusted to ensure that the electric sucker is adsorbed on the slope surface of the slope-shaped barrier; when the gradient of the slope-shaped barrier changes, the length and the direction of the climbing arm matched with the gradient of the slope-shaped barrier are found by adjusting the extension length and the direction of the climbing arm, and the climbing work of the section of the barrier is completed through the sucker device;
if the robot cannot cross the slope-shaped obstacle, judging whether the robot can bypass the slope-shaped obstacle or not through the radar obstacle avoidance sensor, if the robot can bypass the slope-shaped obstacle, judging the size, the volume and the width of the obstacle through the radar obstacle avoidance sensor and the trinocular vision sensor, enabling the inspection robot to smoothly bypass the slope-shaped obstacle, and ensuring that the inspection robot bypasses the obstacle to perform subsequent inspection work;
if the vehicle can not bypass the front obstacle, an alarm system gives an alarm to prompt the staff to come for treatment;
after passing through the slope-shaped barrier, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped magnetic track trace;
in the step (f), the pole-climbing intelligent inspection robot works as follows:
the intelligent pole climbing inspection robot firstly walks along a linear magnetic track trace, when a pole needs to be climbed, the relative distance between the inspection robot and the pole needing to be climbed is firstly measured through an infrared distance measuring sensor, then an image of the pole is acquired through a trinocular vision sensor, the diameter of the pole, the vertical height of the pole and the included angle between the pole and the horizontal plane are acquired, and the acquired information is transmitted to a master control system through a sensor acquisition module;
the main control system processes information transmitted by the sensor acquisition module, judges whether the inspection robot can climb through the rod, if the inspection robot can climb through the rod, the inspection robot firstly walks to the bottom of the rod through a crawler mechanism, acquires the diameter of the rod, the vertical height of the rod and the included angle between the rod and a horizontal plane according to a trinocular vision sensor, adjusts the extending lengths of the climbing arms on the front side and the rear side, adjusts the posture of the inspection robot to be in a state matched with the rod, then clamps the rod by three chucks by controlling the climbing device of the climbing arm on the front side, enables the climbing arm on the front side to climb the rod, controls the climbing device of the climbing arm on the rear side in the same mode, clamps the rod by three chucks, enables the climbing arm on the rear side to climb the rod, and finally repeats the climbing operation to complete the whole climbing process;
if the climbing rod cannot climb through the rod, an alarm system gives an alarm to prompt a worker to come for treatment;
after passing through the rod, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped magnetic track trace.
2. The intelligent substation inspection method according to claim 1, characterized in that: in the step (e), the intelligent inspection robot with magnetic track navigation specifically works as follows: the main control system controls the motion control system to enable the inspection robot to walk along the linear magnetic track trace and the arc-shaped magnetic track trace, the real-time position and road condition of the current inspection robot are known according to a digital PID position type control algorithm, and the deviation amount of the inspection robot at the moment is confirmed and specifically expressed as
Figure FDA0002770937050000031
In the formula, c (j) is the difference between the target value and the position and the posture of the inspection robot at the current moment, and c (j-1) is the value at the previous moment; when meeting an intersection, acquiring road condition information of the current intersection through a trinocular vision sensor, sending the road condition information to a main control system, carrying out directional navigation identification through a magnetic track line, combining the vision acquisition with the magnetic track line, making corresponding judgment by the main control system, selecting a proper route, matching and passing through an RFID (radio frequency identification) identifier on an inspection robot and a corresponding turning RFID (radio frequency identification) tag, and controlling a motion control system by the main control system to enable the inspection robot to pass through the intersection to carry out the next inspection work; after the trinocular vision sensor collects the transformer substation equipment needing to be inspected in front, the RFID identifier on the inspection robot identifies the corresponding detection RFID tag, the inspection robot finishes the inspection work of the transformer substation equipment and judges whether the transformer substation equipment is normal or not, and if the transformer substation equipment is normal, the inspection robot carries out the next inspection work; and if the power station equipment is abnormal, the inspection robot inspects the power station equipment, and then the inspection work is carried out after the inspection is finished.
3. The intelligent substation inspection method according to claim 1, characterized in that: in the step (e), the obstacle crossing intelligent inspection robot specifically works as follows:
when a front obstacle is encountered, judging whether the inspection robot can cross the obstacle according to the deep learning in the step (b), if so, walking to the position right in front of the obstacle through a crawler mechanism, then acquiring the size, the volume and the height of the obstacle according to a trinocular vision sensor, and when the height of the obstacle is smaller than the height set by a control system, driving an obstacle crossing outer arm and a telescopic arm on the front side of the inspection robot to work through two obstacle crossing arms on the front side of the inspection robot by the control system, and crossing the obstacle through matching with the crawler mechanism to finish obstacle crossing work; when the height of the obstacle is larger than the height set by the control system, the control system simultaneously works through two obstacle crossing arms on the front side of the inspection robot and two obstacle crossing arms on the rear side of the inspection robot, and the obstacle crossing work is finished by crossing the obstacle through matching with a crawler mechanism;
if the robot can not cross the obstacle, judging whether the robot can pass the obstacle or not through the radar obstacle avoidance sensor, if so, judging the size, the volume and the width of the obstacle through the radar obstacle avoidance sensor and the trinocular vision sensor, so that the inspection robot can avoid the obstacle, and ensuring that the inspection robot can pass the obstacle to perform subsequent inspection work;
if the vehicle can not bypass the front obstacle, an alarm system gives an alarm to prompt the staff to come for treatment;
after passing through the barrier, the inspection robot performs the next inspection work according to the original preset magnetic track trace and the arc-shaped line magnetic track trace.
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