Monitoring system for irrigation

Abstract

The invention discloses a monitoring system for irrigation, which includes a plurality of terminal nodes, routing nodes, coordinator nodes, irrigation equipment and a monitoring center. The terminal nodes include a processor module, a data acquisition module, a wireless transceiver module and Power supply 1 module, routing node includes processor 2 module, data acquisition 2 module, wireless transceiver 2 module and power supply 2 module, coordinator node includes processor 3 module, wireless transceiver 3 module, serial communication module and power supply 3 module, power supply The 1 module, the power supply 2 module and the power supply 3 module are all equipped with a solar panel, a storage battery and a charging chip for connecting the solar panel and the storage battery 2. The invention can accurately grasp the natural environment parameters such as soil temperature and humidity, light intensity and rainfall, so that it is convenient to carry out remote monitoring on the growth state of crops.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a monitoring system for watering. Background technique [0002] In transmission agriculture, laborers work by perceiving natural factors such as light intensity, air humidity, and rainfall through experience. In this way, they cannot accurately grasp the specific values ​​of each parameter, and thus cannot guarantee good crop production. In order to change this situation, at present, there are intelligent control systems for agricultural planting in China, but they have the shortcomings of sensor network data redundancy, low data monitoring accuracy, and high network energy consumption. Contents of the invention [0003] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a monitoring system for watering, which can accurately grasp the natural environment parameters such as soil temperature and humidity, li...

AI Technical Summary

Problems solved by technology

[0002] In transmission agriculture, laborers work by perceiving natural factors such as light intensity, air humidity, and rainfall through experience. In this way, they cannot accurately grasp the specific values ​​of each parameter, and thus cannot guarantee good crop production.

In order to change this situation, at present, there are intelligent control systems for agricultural planting in China, but they have the shortcomings of sensor network data redundancy, low data monitoring accuracy, and high network energy consumption.

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