Intelligent seeding cloud monitoring system based on OneNET platform

Abstract

The invention provides an intelligent seeding cloud monitoring system based on an OneNET platform. The system comprises an STM32 single-chip microcomputer module and the OneNET platform; the STM32 single-chip microcomputer module collects seeding machine operation parameters and outputs a control signal to control related parts to work, and transmits the seeding machine operation parameters to the OneNET platform through a network to form seeding machine operation big data, and the big data is stored in a cloud end. A seeding machine realizes a networking function through the system, and various operation big data of the seeding machine can be uploaded to the cloud. According to the system of the invention, an operation big data wireless transmission function is designed, and a data basis is provided for later operation quality evaluation; a terminal APP is used as a man-machine interaction terminal, an agricultural machinery operator can remotely check the seeding machine operation big data stored in the OneNET Internet of Things platform through the terminal APP, and the agricultural machinery operator can adjust the seeding machine operation parameters such as plant spacing, seeding depth, operation speed and the like through the terminal APP according to the operation big data, so that intelligent and accurate control of the seeding machine is realized.

Description

technical field [0001] The invention belongs to the technical field of planter monitoring systems, in particular to an intelligent sowing cloud monitoring system based on the OneNET platform. Background technique [0002] Sowing is a key link in agricultural production, and the quality of sowing directly affects the emergence, health and strength of crops, which in turn affects crop yield. With the development of smart agriculture and unmanned tractors, the corresponding seeders are facing technological innovation. Existing seeders lack an intelligent monitoring system, and agricultural machinery drivers cannot remotely obtain seeder-related operating parameters in real time through mobile APPs, such as seeding rate, fertilizer output, and operating area. These problems need to be solved urgently. [0003] At present, the domestic seeder operation monitoring system has problems such as single function and low intelligence level, and there are very few related technical rese...

AI Technical Summary

Problems solved by technology

Existing seeders lack an intelligent monitoring system, and agricultural machinery drivers cannot remotely obtain seeder-related operating parameters in real time through mobile APPs, such as seeding rate, fertilizer output, and operating area. These problems need to be solved urgently

[0003] At present, the operation monitoring system of domestic seeders has problems such as single function and low level of intelligence, and there are very few related technical researches on the operation monitoring system of seeders suitable for unmanned tractors.

Chinese patent ZLCN201220551427.7 proposes a radar measurement and control precision seeder, which can adjust the seeding rate according to the operating speed measured by the radar, but it can only realize the measurement and control of the seeding rate, and there is a problem of single function, and the operator Specific operating parameters cannot be obtained; in the master's degree thesis of Shandong University of Technology "Research on Intelligent Monitoring System of Corn Precision Planter", the intelligent monitoring system includes the statistical module of seeding rate and operating area, speed measurement module, seeding rate monitoring module, operating area display module, etc. , although the system has relatively comprehensive functions, it lacks important functions such as tillage depth monitoring and variable fertilization, and this research is not suitable for unmanned tractor systems, and it cannot be realized that agricultural machinery operators can remotely obtain seeder-related operating parameters through mobile APPs in real time. Function

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