CN112757305A - Intelligent inspection robot and inspection method - Google Patents
Intelligent inspection robot and inspection method Download PDFInfo
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- CN112757305A CN112757305A CN202110073100.7A CN202110073100A CN112757305A CN 112757305 A CN112757305 A CN 112757305A CN 202110073100 A CN202110073100 A CN 202110073100A CN 112757305 A CN112757305 A CN 112757305A
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- 238000007689 inspection Methods 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims description 19
- 238000004891 communication Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000013480 data collection Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
- B25J9/1661—Programme controls characterised by programming, planning systems for manipulators characterised by task planning, object-oriented languages
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
- B25J9/161—Hardware, e.g. neural networks, fuzzy logic, interfaces, processor
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Abstract
The invention relates to the technical field of automatic inspection, and particularly provides an intelligent inspection robot which comprises a power supply module, a 5G communication module, a FLASH chip, a driving module, a front-end data acquisition module, a control module and a cloud server, wherein the control module is connected with the power supply module, the 5G communication module, the FLASH chip, the driving module, the front-end data acquisition module and the cloud server. Compared with the prior art, the intelligent patrol system can intelligently patrol all day long, releases people from repeated and inefficient labor, saves labor cost and has good popularization value.
Description
Technical Field
The invention relates to the technical field of automatic inspection, and particularly provides an intelligent inspection robot and an inspection method.
Background
In the prior art, manual inspection has the defects of high labor intensity, low efficiency, poor inspection effect and the like, a 4G network is used for communication, an inspection robot adopting the 4G network has the disadvantages of image lag and low definition when high-definition video signals are transmitted to an upper computer, and the requirement of mass data transmission cannot be met. And the delay causes that the remote control cannot realize real-time operation and cannot provide powerful support for mass data transmission.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the intelligent inspection robot which is reasonable in design, safe and applicable.
The invention further aims to provide an intelligent inspection method with strong practicability.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an intelligent inspection robot comprises a power supply module, a 5G communication module, a FLASH chip, a driving module, a front-end data acquisition module, a control module and a cloud server, wherein the control module is connected with the power supply module, the 5G communication module, the FLASH chip, the driving module, the front-end data acquisition module and the cloud server;
the power supply module is used for supplying electric quantity;
the 5G communication module is used for receiving the inspection task and communicating with the control module;
the FLASH chip is used for storing the information of the inspection task and the inspection equipment;
the driving module is used for driving the inspection robot to a specified position;
the front-end data acquisition module is used for carrying out real-time video transmission on the field condition;
the control module is used for judging and analyzing according to the field collected data and uploading the data to the cloud server;
and the cloud server is used for comparing, analyzing and processing the database file.
Furthermore, the front-end data acquisition module comprises a sensor module and a camera group, the sensor module is used for monitoring the field environment in real time, and the camera group is used for shooting the field environment.
Further, the cloud server is used for comparing, analyzing and processing the data base files, determining a target position according to the inspection task, setting an inspection route to control the position of the inspection robot, determining the target position according to the inspection task, and generating the inspection route.
An intelligent inspection method comprises the following steps:
s1, receiving the inspection task;
s2, determining the target position according to the inspection task and generating an optimal moving route;
s3, driving the inspection robot to reach the designated position;
s4, acquiring data of the field condition;
and S5, transmitting the data information to a cloud server, and analyzing and processing the data.
Further, in step S1, the control module receives the inspection task, performs judgment analysis on the inspection task, and uploads the inspection task to the cloud server.
Further, in step S2, the cloud server performs comparison analysis with the database file, determines a target position according to the inspection task, sets the position of the inspection route control inspection robot, determines the target position according to the inspection task, and generates the inspection route.
Further, in step S3, the control module transmits the driving information to the driving module, and the driving module drives the inspection robot to the designated position.
Further, in step S4, the front end data collection module collects data of the field situation, the front end data collection module includes a sensor module and a camera group, the sensor module detects the field environment in real time, and the camera group takes a picture of the field environment.
Further, in step S5, the data information in the control module is transmitted to the cloud server, and the control module and the cloud server analyze and process the data.
Compared with the prior art, the intelligent inspection robot and the inspection method have the following outstanding beneficial effects:
the invention can intelligently inspect all day long, releases people from repeated and low-efficiency labor and saves labor cost. By adopting 5G communication, the on-site video information can be seen more quickly and clearly, the identification and analysis results of on-site people and things and the like can be displayed in real time, the computing time of the cloud server is reduced, the time delay and the network load are reduced, the real-time transmission and the real-time control are realized, and the data safety and the privacy are also improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a block diagram of an intelligent inspection robot;
fig. 2 is a schematic diagram of an intelligent inspection method input flow.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments in order to better understand the technical solutions of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A preferred embodiment is given below:
as shown in fig. 1, the intelligent inspection robot in this embodiment includes a power supply module, a 5G communication module, a FLASH chip, a driving module, a front-end data acquisition module, a control module, and a cloud server, where the control module is connected to the power supply module, the 5G communication module, the FLASH chip, the driving module, the front-end data acquisition module, and the cloud server.
The power supply module is used for supplying electric quantity.
The 5G communication module is used for receiving the polling task and communicating with the control module.
The FLASH chip is used for storing the information of the inspection task and the inspection equipment.
The driving module is used for driving the inspection robot to a specified position.
The front-end data acquisition module is used for transmitting the real-time video of the field situation.
The control module is used for judging and analyzing according to the field acquisition data and uploading the data to the cloud server.
The cloud server is used for comparing, analyzing and processing the data base files, monitoring the field environment in real time, realizing real-time control, determining the target position according to the inspection task, setting the inspection route for controlling the position of the inspection robot, determining the target position according to the inspection task, and generating the inspection route.
As shown in fig. 2, the intelligent inspection method in this embodiment includes the following steps:
s1, receiving the polling task:
and the control module receives the polling task, judges and analyzes the polling task, and uploads the polling task to the cloud server.
S2, determining the target position according to the inspection task, and generating an optimal moving route:
the cloud server is compared with the database file for analysis, the target position is determined according to the polling task, the position of the polling robot is controlled by setting the polling route, the field environment can be monitored in real time, real-time control is achieved, the target position is determined according to the polling task, and the polling route is generated.
S3, driving the inspection robot to reach the designated position:
the control module transmits the driving information to the driving module, and the driving module drives the inspection robot to reach the designated position.
S4, acquiring data of the field condition:
the front-end data acquisition module is used for acquiring data of field conditions and comprises a sensor module and a camera group, the sensor module is used for detecting the field environment in real time, and the camera group is used for shooting the field environment.
And S5, transmitting the data information to a cloud server, and analyzing and processing the data:
and data information in the control module is transmitted to the cloud server, and the control module and the cloud server analyze and process the data.
The above embodiments are only specific ones of the present invention, and the scope of the present invention includes but is not limited to the above embodiments, and any suitable changes or substitutions that are consistent with the claims of the intelligent inspection robot and the inspection method of the present invention and are made by those skilled in the art should fall within the scope of the present invention.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. An intelligent inspection robot is characterized by comprising a power supply module, a 5G communication module, a FLASH chip, a driving module, a front-end data acquisition module, a control module and a cloud server, wherein the control module is connected with the power supply module, the 5G communication module, the FLASH chip, the driving module, the front-end data acquisition module and the cloud server;
the power supply module is used for supplying electric quantity;
the 5G communication module is used for receiving the inspection task and communicating with the control module;
the FLASH chip is used for storing the information of the inspection task and the inspection equipment;
the driving module is used for driving the inspection robot to a specified position;
the front-end data acquisition module is used for carrying out real-time video transmission on the field condition;
the control module is used for judging and analyzing according to the field collected data and uploading the data to the cloud server;
and the cloud server is used for comparing, analyzing and processing the database file.
2. The intelligent inspection robot according to claim 1, wherein the front data collection module includes a sensor module for real-time monitoring of the site environment and a camera set for taking a picture of the site environment.
3. The intelligent inspection robot according to claim 1, wherein the cloud server is configured to compare, analyze and process the database files, determine a target location according to the inspection task, set an inspection route to control the location of the inspection robot, determine the target location according to the inspection task, and generate the inspection route.
4. An intelligent inspection method is characterized by comprising the following steps:
s1, receiving the inspection task;
s2, determining the target position according to the inspection task and generating an optimal moving route;
s3, driving the inspection robot to reach the designated position;
s4, acquiring data of the field condition;
and S5, transmitting the data information to a cloud server, and analyzing and processing the data.
5. The intelligent inspection method according to claim 4, wherein in step S1, the control module receives the inspection task, performs judgment analysis on the inspection task, and uploads the inspection task to the cloud server.
6. The intelligent inspection method according to claim 5, wherein in step S2, the cloud server performs comparison analysis with the database file, determines a target position according to the inspection task, sets an inspection route to control the position of the inspection robot, determines the target position according to the inspection task, and generates the inspection route.
7. The intelligent inspection method according to claim 4, wherein in step S3, the control module transmits the driving information to the driving module, and the driving module drives the inspection robot to the designated position.
8. The intelligent inspection method according to claim 4, wherein in step S4, the front data collection module collects data of the site conditions, the front data collection module includes a sensor module and a camera group, the sensor module detects the site environment in real time, and the camera group takes a picture of the site environment.
9. The intelligent inspection method according to claim 4, wherein in the step S5, the data information in the control module is transmitted to the cloud server, and the control module and the cloud server analyze and process the data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110073100.7A CN112757305A (en) | 2021-01-20 | 2021-01-20 | Intelligent inspection robot and inspection method |
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| CN202110073100.7A CN112757305A (en) | 2021-01-20 | 2021-01-20 | Intelligent inspection robot and inspection method |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110046838A1 (en) * | 2009-08-20 | 2011-02-24 | Hung-Yin Tsai | Automatic search system and method |
| CN111080775A (en) * | 2019-12-19 | 2020-04-28 | 深圳市原创科技有限公司 | Server routing inspection method and system based on artificial intelligence |
| WO2020113660A1 (en) * | 2018-12-05 | 2020-06-11 | 博众精工科技股份有限公司 | Patrol robot and patrol robot management system |
| CN111830987A (en) * | 2020-07-27 | 2020-10-27 | 济南浪潮高新科技投资发展有限公司 | Control method and device of inspection robot and inspection system of robot |
| CN112213979A (en) * | 2020-10-14 | 2021-01-12 | 西南石油大学 | Intelligent robot inspection system and method for station |
| CN112207846A (en) * | 2020-12-08 | 2021-01-12 | 北京蒙帕信创科技有限公司 | Liftable intelligent inspection robot system for machine room and inspection method |
-
2021
- 2021-01-20 CN CN202110073100.7A patent/CN112757305A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110046838A1 (en) * | 2009-08-20 | 2011-02-24 | Hung-Yin Tsai | Automatic search system and method |
| WO2020113660A1 (en) * | 2018-12-05 | 2020-06-11 | 博众精工科技股份有限公司 | Patrol robot and patrol robot management system |
| CN111080775A (en) * | 2019-12-19 | 2020-04-28 | 深圳市原创科技有限公司 | Server routing inspection method and system based on artificial intelligence |
| CN111830987A (en) * | 2020-07-27 | 2020-10-27 | 济南浪潮高新科技投资发展有限公司 | Control method and device of inspection robot and inspection system of robot |
| CN112213979A (en) * | 2020-10-14 | 2021-01-12 | 西南石油大学 | Intelligent robot inspection system and method for station |
| CN112207846A (en) * | 2020-12-08 | 2021-01-12 | 北京蒙帕信创科技有限公司 | Liftable intelligent inspection robot system for machine room and inspection method |
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Application publication date: 20210507 |