CN114440915A - Optimization method for inspection operation path of unmanned vehicle - Google Patents
Optimization method for inspection operation path of unmanned vehicle Download PDFInfo
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- CN114440915A CN114440915A CN202210148932.5A CN202210148932A CN114440915A CN 114440915 A CN114440915 A CN 114440915A CN 202210148932 A CN202210148932 A CN 202210148932A CN 114440915 A CN114440915 A CN 114440915A
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- 238000007689 inspection Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 10
- 238000005457 optimization Methods 0.000 title claims abstract description 5
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims 1
- 238000004806 packaging method and process Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
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- Radar, Positioning & Navigation (AREA)
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- Automation & Control Theory (AREA)
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- Traffic Control Systems (AREA)
Abstract
The embodiment of the invention provides an optimization method for an operation path of an unmanned inspection vehicle, and provides a technical scheme for optimizing and calculating a route of an edge end, monitoring the running state of the vehicle in real time and feeding back the operation path in real time based on the parking position of the unmanned inspection vehicle; according to the invention, through the optimal calculation of the operation path of the unmanned inspection vehicle, the operation track of the unmanned inspection vehicle can be adjusted in real time, the problems of vehicle jamming, incapability of moving and operation deviation are avoided, and the operation efficiency of the unmanned inspection vehicle can be greatly improved.
Description
Technical Field
The application relates to the technical field of information data processing and transmission, and mainly relates to an unmanned vehicle inspection operation path optimization method.
Background
Along with the popularization of the unmanned technology, products based on the L4 unmanned technology are continuously updated, and especially in the fields of logistics, food delivery, park inspection and the like, application of a certain scale has been formed, aiming at the inspection operation requirements of a closed park, the L4 unmanned inspection vehicle has the characteristics of high positioning precision, strong arm obstacle capability and large load space, is greatly practical by users, along with continuous deepening of application, the defects of the unmanned vehicle are gradually shown, if the obstacles are frequently stuck by the unmanned vehicle, cannot bypass the obstacles, cannot move for a long time and other patterns, and the problems are obstructing the application of the unmanned vehicle.
Disclosure of Invention
According to the invention, through the optimal calculation of the operation path of the unmanned inspection vehicle, the operation track of the unmanned inspection vehicle can be adjusted in real time, the problems of vehicle jamming, incapability of moving and operation deviation are avoided, and the operation efficiency of the unmanned inspection vehicle can be greatly improved.
In order to achieve the above object, the present application provides the following technical solutions:
firstly, an unmanned vehicle inspection operation path is obtained through a TCP/IP protocol, and data can be obtained through the Internet and a local area network.
And acquiring the state data of the unmanned vehicle in real time through WEBSOCKET, MQ and other protocols, wherein the state data comprises real-time data of radar and visual recognition equipment and vehicle early warning data.
When the unmanned vehicle is in the state that the unmanned vehicle reaches the inspection target, the system automatically calculates the optimal path of the unmanned inspection vehicle and generates new path data of the inspection vehicle.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts. The foregoing and other objects, features and advantages of the application will be apparent from the accompanying drawings. Like reference numerals refer to like parts throughout the drawings. The drawings are not intended to be to scale as practical, emphasis instead being placed upon illustrating the subject matter of the present application.
FIG. 1 is a schematic flow diagram of the method of the present application;
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application are within the scope of protection of the present application. Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application are within the scope of protection of the present application.
Examples
1. The unmanned vehicle inspection operation path is obtained through a TCP/IP protocol, and data can be obtained through the Internet and a local area network.
2. And acquiring the state data of the unmanned vehicle in real time through WEBSOCKET, MQ and other protocols, wherein the state data comprises real-time data of radar and visual recognition equipment and vehicle early warning data.
3. When the unmanned vehicle is in the state that the unmanned vehicle reaches the inspection target, the system automatically calculates the optimal path of the unmanned inspection vehicle and generates new path data of the inspection vehicle.
Claims (4)
1. An unmanned vehicle inspection operation path optimization method is characterized by comprising the following steps:
the unmanned vehicle inspection operation path is obtained through a TCP/IP protocol, and data can be obtained through the Internet and a local area network.
And acquiring the state data of the unmanned vehicle in real time through WEBSOCKET, MQ and other protocols, wherein the state data comprises real-time data of radar and visual recognition equipment and vehicle early warning data.
When the unmanned vehicle is in the state that the unmanned vehicle reaches the inspection target, the system automatically calculates the optimal path of the unmanned inspection vehicle and generates new path data of the inspection vehicle.
2. The method of claim 1, wherein the locked unmanned vehicle inspection work path comprises all stations where the unmanned vehicle will park and longitude and latitude information corresponding to each station.
3. The method of claim 1, wherein the status data of the unmanned vehicle at least comprises current electric quantity information, real-time longitude and latitude information and vehicle abnormality warning information.
4. The method according to claim 1, wherein the specific method for automatically calculating the optimal path of the unmanned inspection vehicle is as follows:
and determining longitude and latitude information of the current vehicle, initial stop point information of the vehicle and information of each stop point of the remaining inspection lines.
And calculating the deviation of the longitude and latitude coordinates of all the stop points except the initial stop point of the vehicle and the current longitude and latitude coordinates of the vehicle by taking the current longitude and latitude coordinates of the vehicle as a reference, and listing the stop points with the latest stop point information travel and the deviation of more than 5 m.
And packaging the stop point list into a new routing inspection path according to the format requirement of the vehicle routing inspection operation path.
Priority Applications (1)
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CN202210148932.5A CN114440915A (en) | 2022-02-18 | 2022-02-18 | Optimization method for inspection operation path of unmanned vehicle |
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CN202210148932.5A CN114440915A (en) | 2022-02-18 | 2022-02-18 | Optimization method for inspection operation path of unmanned vehicle |
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Citations (7)
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CN104508507A (en) * | 2012-06-25 | 2015-04-08 | 谷歌公司 | Adaptive clustering of locations |
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CN109737979A (en) * | 2018-12-29 | 2019-05-10 | 同济大学 | A kind of storage method and system for automatic driving car course line |
EP3623759A1 (en) * | 2018-09-14 | 2020-03-18 | The Boeing Company | A computer-implemented method and a system for defining a path for a vehicle within an environment with obstacles |
CN113011815A (en) * | 2021-03-11 | 2021-06-22 | 深圳市城市交通规划设计研究中心股份有限公司 | Truck stop point extraction method and travel characteristic determination method and device |
CN113687653A (en) * | 2021-08-05 | 2021-11-23 | 中国船舶重工集团公司第七一六研究所 | Logistics unmanned vehicle remote control system and method based on 5G |
CN113703444A (en) * | 2021-08-13 | 2021-11-26 | 南京付联微网络科技有限公司 | Intelligent robot inspection obstacle avoidance method and system |
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2022
- 2022-02-18 CN CN202210148932.5A patent/CN114440915A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104508507A (en) * | 2012-06-25 | 2015-04-08 | 谷歌公司 | Adaptive clustering of locations |
EP3623759A1 (en) * | 2018-09-14 | 2020-03-18 | The Boeing Company | A computer-implemented method and a system for defining a path for a vehicle within an environment with obstacles |
CN109670649A (en) * | 2018-12-27 | 2019-04-23 | 连尚(新昌)网络科技有限公司 | It is a kind of for providing user's method and apparatus of bus trip prompting message |
CN109737979A (en) * | 2018-12-29 | 2019-05-10 | 同济大学 | A kind of storage method and system for automatic driving car course line |
CN113011815A (en) * | 2021-03-11 | 2021-06-22 | 深圳市城市交通规划设计研究中心股份有限公司 | Truck stop point extraction method and travel characteristic determination method and device |
CN113687653A (en) * | 2021-08-05 | 2021-11-23 | 中国船舶重工集团公司第七一六研究所 | Logistics unmanned vehicle remote control system and method based on 5G |
CN113703444A (en) * | 2021-08-13 | 2021-11-26 | 南京付联微网络科技有限公司 | Intelligent robot inspection obstacle avoidance method and system |
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