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Residue soil truck intelligent positioning method and system based on unmanned aerial vehicle

A technology of intelligent positioning and unmanned aerial vehicles, which is applied in the traffic control system of road vehicles, motor vehicles, traffic control systems, etc., can solve the problems of major safety accidents, poor early warning effect, complex and changeable working environment, etc., and achieve improvement Reliability, the effect of improving the timeliness and accuracy of early warning

Active Publication Date: 2022-08-05
深圳联和智慧科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] For the on-site construction site, its working environment is complex and changeable, and safety accidents are often prone to occur. How to implement real-time comprehensive management of the construction site is a very difficult problem for the relevant units
For example, for violations of entering and exiting muck trucks, if the relevant violations are not discovered in time and an early warning is given, it may lead to a major safety accident
However, in the current monitoring scheme, only a single UAV is used to collect the driving path information and then conduct a simple area comparison early warning method, and the early warning effect is not good.

Method used

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  • Residue soil truck intelligent positioning method and system based on unmanned aerial vehicle
  • Residue soil truck intelligent positioning method and system based on unmanned aerial vehicle
  • Residue soil truck intelligent positioning method and system based on unmanned aerial vehicle

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Embodiment approach 1

[0040] In the first embodiment, among the plurality of previous fusion path feature information, the fused path feature information before the part whose evaluation metric value corresponding to the screening evaluation information is higher than the preset evaluation metric value is used as a sample fusion path feature cluster.

Embodiment approach 2

[0041] Embodiment 2: According to the evaluation metric values ​​corresponding to the evaluation information of the plurality of previous fusion path feature information, the plurality of previous fusion path feature information are sorted in descending order, and the first and the number is set to sieve. The path feature information before a certain number of parts is fused as a sample fusion path feature cluster.

[0042] Step S102: Perform path mutation node analysis on the path feature description set corresponding to the driving path track information to obtain different path feature descriptions, and train driving through the input data sequence formed by the different path feature descriptions and the sample driving positioning prediction information Location prediction network. For example, different path feature descriptions may include expressive path feature descriptions, non-expressive path feature descriptions, and / or reference path feature descriptions, and the e...

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Abstract

The invention provides a muck truck intelligent positioning method and system based on an unmanned aerial vehicle, and the method comprises the steps: obtaining a monitoring data flow for monitoring a muck truck in a target management and control region through a monitoring unmanned aerial vehicle, and carrying out the monitoring of the muck truck when the monitoring data flow is detected to indicate that the target muck truck has a violation behavior; the multiple unmanned aerial vehicles are controlled in a linkage mode to collect the driving path information, the reliability of driving path information collection can be improved, driving positioning prediction is carried out according to the driving path information collected by the multiple unmanned aerial vehicles, driving positioning prediction information of the target slag car in the later preset time period can be accurately analyzed, and the accuracy of driving positioning prediction is improved. And the driving positioning prediction information is sent to the patrol on-duty service terminal corresponding to the target management and control area for early warning information prompt, so that the early warning timeliness and accuracy of the construction site are improved.

Description

technical field [0001] The present invention relates to the technical field of unmanned aerial vehicle monitoring, and exemplarily relates to a method and system for intelligent positioning of muck trucks based on unmanned aerial vehicles. Background technique [0002] For on-site construction sites, the working environment is complex and changeable, and safety accidents are often prone to occur. How to implement real-time comprehensive management of construction sites is a very difficult problem for relevant units. For example, for the illegal behavior of entering and leaving the muck truck, if the relevant illegal behavior is not detected in time and a warning is given, it may lead to major safety accidents. However, in the current monitoring scheme, the early warning method of simple regional comparison after only collecting the driving path information by a single drone, the early warning effect is not good. SUMMARY OF THE INVENTION [0003] In order to at least overc...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/123G08B25/08G08B31/00G01C21/20B64C39/02G06K9/62G06N3/04
CPCG08G1/01G08G1/123G08B25/08G08B31/00G01C21/20B64C39/024G06N3/045B64U2201/20B64U2101/00G06F18/2113G06F18/23G06F18/253Y02P90/02
Inventor 杨翰翔肜卿
Owner 深圳联和智慧科技有限公司