Internet of things-based intelligent agricultural machinery control method

Abstract

The invention relates to an Internet of things-based intelligent agricultural machinery control method. The method includes the following steps that: an agricultural machinery control system is powered on, the agricultural machinery control system starts a fault self-detection program; the fault self-detection program detects whether the engine of agricultural machinery and related sensors of the operation components of the agricultural machinery work normally; the agricultural machinery control system begins operating, a main control chip packages the parameter acquisition information of the engine, acquisition information of the related sensors of the operation components, and acquisition information of an environmental parameter acquisition sensor into data packets in a unified manner and sends the data packets to an upper computer, wherein the main control chip sends the data packets to the upper computer every 1 to 10 minutes; and after receiving the data uploaded by the agricultural machinery control system, the upper computer sends the data to a remote server. According to the method of the invention, operating parameters of the agricultural machinery, such as sowing, harvesting, pesticide and fertilizer, and environmental parameters are tracked in real time, and the operating trajectories of the agricultural machinery are tracked, flow consumption is decreased, monitoring is accurate, and human-computer interaction is strong.

Description

technical field [0001] The invention relates to the technical field of agricultural machinery, in particular to an intelligent agricultural machinery control method based on the Internet of Things. Background technique [0002] my country is a large agricultural country, but most agricultural production is basically completed by human labor. For example, in most rural areas, operations such as sowing, fertilization, irrigation and harvesting mainly rely on pure human labor, which is not only inefficient, but also affects the growth and harvest of crops. Even if mechanized sowing and harvesting are realized in some places, human cooperation is usually required, and mechanized operations such as sowing and harvesting are independent of each other and are not reasonably connected, which also affects the efficiency and production cycle of agricultural machinery operations. In addition, the timing and amount of agricultural irrigation are basically judged by human experience, and...

AI Technical Summary

Problems solved by technology

However, my country's agricultural production environment is changeable, the agricultural production process is scattered, the main body of production is complex, and the demand is ever-changing.

[0004] The existing technology mainly monitors a certain aspect of a single agricultural machinery operation through the Internet of Things (such as engine parameters, environmental parameters, operation information parameters, auger parameters, etc.) to provide mechanized intelligent services, while multiple sets of sensor information are transmitted separately. This makes it more difficult for the Internet of Things to integrate cloud computing for all agricultural machinery data in a unified area

Images