Remote monitoring method used for unmanned agricultural vehicle

Abstract

The invention provides a remote monitoring method used for an unmanned agricultural vehicle. The completion state of a working area and the situation of an area to be worked ahead are monitored through a video monitoring module and the abnormal obstacle is also detected and monitored, the obstacle is fed back to a remote control module if the obstacle appears ahead of the unmanned agricultural vehicle, and the remote control module replans the obstacle avoidance route; after the unmanned agricultural vehicle enters the working area, the remote control module switches the map to the current working area through a map monitoring module and locates the current position of the unmanned agricultural vehicle in real time according to data information transmitted back by a data acquisition device; and the operator inputs the working area, GPS information of the working start position and the working speed on the remote controller, the remote control module plans the working route, and the unmanned agricultural vehicle autonomously works within the working range and enters the next round of working after completing all the work of the area so that the monitoring efficiency of the unmanned agricultural vehicle can be effectively enhanced, and the use safety of the unmanned agricultural vehicle can also be greatly enhanced.

Description

technical field [0001] The invention relates to the technical field of remote monitoring, in particular to a remote monitoring method for unmanned agricultural vehicles. Background technique [0002] With the rapid development of science and technology, agricultural machinery also tends to be intelligent. With the steady improvement of artificial intelligence and the strengthening of software and hardware capabilities, it is possible to realize unmanned agricultural machinery, and agricultural unmanned vehicles are also far away from our agricultural production. It is getting closer and closer, and is widely used in various agricultural productions. [0003] At present, most agricultural vehicles are operated by manual driving, which not only increases labor costs, but is also prone to fatigue. In addition, there are also some unmanned agricultural vehicles on the market, equipped with controllers, data transmission, GPS modules, electronic maps, navigation software, etc., ...

AI Technical Summary

Problems solved by technology

[0003] At present, most agricultural vehicles are operated by manual driving, which not only increases labor costs, but is also prone to fatigue

In addition, there are also some unmanned agricultural vehicles on the market, which are equipped with controllers, data transmission, GPS modules, electronic maps, navigation software, etc., which can monitor parameters such as driving routes, speeds, and mileage, but the functions are not comprehensive enough. Cannot specify work mode

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