Farming control system and method for automatic driving of agricultural machinery based on Beidou navigation

Abstract

The invention provides an agricultural machinery automatic driving farming control system and method based on Beidou navigation in the field of agricultural machinery control technology, including a differential reference station, an autopilot and a visual sensor. The differential reference station includes a measurement antenna 1, which is connected to There is a measuring receiver, and the measuring receiver is connected to a transmitting station through the RS232 interface. The autopilot includes a vehicle navigator, a vehicle display controller, an electric steering wheel controller and a steering wheel angle sensor, and the vehicle navigation system is connected to the vehicle display controller. , the output ports of the electric steering wheel controller and the steering wheel angle sensor are respectively connected with the vehicle-mounted display controller, the vehicle-mounted display controller includes a graphics processing module, and the visual sensor is connected with the graphics processing module; While avoiding obstacles, it can reduce the missed tillage of agricultural machinery, improve the quality of agricultural machinery cultivation, and can be used in the control work of agricultural machinery automatic driving farming.

Description

Technical field [0001] The invention relates to an automatic driving farming control system and method, in particular to an agricultural machinery automatic driving farming control system and method. Background technique [0002] Agriculture is the foundation of the country and is related to the stability of the country's politics and economy. With the development of my country's agriculturalization, it will gradually change from a decentralized agricultural production method to a centralized agriculture. Agricultural mechanization is an important indicator for measuring a country's agricultural development. With the continuous advancement of the three rural policies, urgent requirements are put forward for agricultural mechanization. [0003] Agricultural machinery has labor efficiency that cannot be matched by labor. It not only reduces labor intensity, but also liberates a large part of the labor force to engage in other industries. Therefore, the development of agricultural mac...

AI Technical Summary

Problems solved by technology

Agricultural machinery is mainly used to complete land cultivation, sowing, harvesting and other operations. Most of the existing agricultural machinery is driven manually. For large-scale fields, the driver needs to drive for a long time and is very prone to fatigue

Moreover, the most important thing is that the use of agricultural machinery is staged, and it is only needed during the time period of plowing, sowing, and harvesting. In this way, drivers who work outside or engage in other industries have to return home during the busy farming season, or It is a large-scale land contractor who does not wait to hire a large number of drivers to carry out farm work during the busy farming season, which will undoubtedly increase the cost of personnel use

[0004] With the maturity of satellite positioning technology (such as my country's Beidou satellite system), communication technology, computer technology and automatic control technology, the location information of the vehicle can be accurately determined according to the received satellite signal, and through the detection and analysis of the current state of the vehicle, Work out a reasonable automatic driving scheme; this navigation technology can also be applied to agricultural machinery. In the existing technology, the agricultural machinery walks according to the set path. For the same field with multiple crops, the agricultural machinery will not automatically identify the crops Whether they are of the same species or not, the farmer will end all the crops in the field according to the set path, resulting in the cultivation of crops that should not be cultivated, resulting in unnecessary economic losses, the quality of cultivation cannot be guaranteed, and the existing technology cannot meet the needs of agriculture. Conditions for mechanical self-driving

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