Internet of things-based intelligent agricultural machinery control method

Abstract

The invention relates to an intelligent agricultural machinery control method based on the Internet of Things, comprising the following steps: the agricultural machinery control system is powered on, and the agricultural machinery control system starts a fault self-inspection program; the fault self-inspection program detects whether the relevant sensors of the engine of the agricultural machine and the operation parts Normal work; the agricultural machinery control system starts to run, and the main control chip uniformly makes data packets into data packets from the engine parameter collection information, the collection information of the relevant sensors of the working parts, and the collection information of the environmental parameter collection sensors and sends them to the host computer. Send a data packet to the host computer every 1 to 10 minutes; after the host computer receives the data uploaded by the agricultural machinery control system, send it to the remote server. The invention tracks the operating parameters of the agricultural machinery such as sowing, harvesting, pesticides, and fertilization in real time, as well as the environmental parameters, and tracks the running track of the agricultural machinery, so that the consumption flow is small, the monitoring is accurate, and the human-machine 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

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