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Intelligent order grabbing method and device, and computer-readable storage medium
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A single-device, intelligent technology, applied in the direction of computing, measuring devices, instruments, etc., can solve the problem of high server performance requirements, and achieve the effect of improving order receiving efficiency
Inactive Publication Date: 2020-02-28
SHENZHEN SKYWORTH DIGITAL TECH CO LTD
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[0005] The main purpose of the present invention is to provide an intelligent order grabbing method, device and computer-readable storage medium, aiming to solve the technical problem of high server performance requirements in the scheduling of multiple AGV terminals
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no. 1 example
[0102] Based on the first embodiment, the second embodiment of the intelligent order grabbing method of the present invention is proposed, referring to Figure 5 , in this embodiment, step S100 includes:
[0103] Step S110, when the first vehicle body is currently in the state of not receiving an order and order information is received, obtain the current first location information of the first vehicle body, and obtain destination location information based on the order information;
[0104] Step S120, acquiring current second position information of a third vehicle body, wherein the third vehicle body is a vehicle body other than the first vehicle body in the driving environment where the first vehicle body is located;
[0105] Step S130: Determine a first navigation route based on the first location information, the second location information, and the destination location information, and determine a first navigation duration based on the first navigation route.
[0106] W...
no. 2 example
[0135] Based on the second embodiment, the sixth embodiment of the intelligent order grabbing method of the present invention is proposed. In this embodiment, step S100 includes:
[0136] Step S140, acquiring route planning point information corresponding to the first navigation route, and determining the driving time corresponding to the first navigation route based on the route planning point information;
[0137] Step S150, based on the pose information of the first vehicle body and the initial planning point corresponding to the path planning point information, determine the pose adjustment duration corresponding to the first navigation route;
[0138] Step S160: Determine the first navigation duration based on the pose adjustment duration and the driving duration.
[0139] In this embodiment, the path planning point information corresponding to the first navigation route is obtained, and the path planning point information includes the coordinates (x N ,y N ) and the ve...
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Abstract
The invention discloses an intelligent order grabbing method, comprising the following steps: determining, when a first vehicle is currently in an unordered state and receives order information, a first navigation duration corresponding to the first vehicle based on the order information; acquiring a second navigation duration corresponding to a second vehicle, wherein the second vehicle is othervehicle in an unordered state except the first vehicle in the traveling environment of the first vehicle; and sending, when the first navigation duration is shorter than the second navigation duration, order receiving information to a terminal corresponding to the order information. The invention also discloses an intelligent order grabbing device and a computer-readable storage medium. Distributed scheduling of the vehicles is realized by separately calculating the navigation duration of each vehicle, and the autonomous calculation of the navigation duration of the vehicle does not need a server with high performance requirement for to perform scheduling, thereby improving the order receiving efficiency of the vehicles.
Description
technical field [0001] The present invention relates to the technical field of intelligent driving, in particular to an intelligent order grabbing method, device and computer-readable storage medium. Background technique [0002] SLAM (simultaneous localization and mapping, real-time positioning and map construction) based on the natural environment includes two major functions: positioning and mapping. Among them, the main function of map building is to understand the surrounding environment and establish the corresponding relationship between the surrounding environment and space; the main function of positioning is to judge the position of the car body in the map according to the built map, so as to obtain information in the environment. Secondly, lidar is an active detection sensor that does not depend on external lighting conditions and has high-precision ranging information. Therefore, the SLAM method based on lidar is still the most widely used method in the robot SL...
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