Intelligent remote monitoring system

Abstract

The invention discloses an intelligent remote monitoring system, which includes a plurality of terminal nodes, routing nodes, coordinator nodes, irrigation nodes and a monitoring center. The terminal nodes include a processor 1 module and a data acquisition 1 module connected to the processor 1 module. , Irrigation node includes processor 4 module, data acquisition 3 module, FLASH module, LED module, serial communication 2 module, storage module and power supply 4 module, data acquisition 1 module and data acquisition 2 module connected with processor 4 module All are equipped with temperature and humidity sensors, light intensity sensors and rainfall sensors, data acquisition 3 modules are equipped with image sensors, wireless transceiver 1 module, wireless transceiver 2 module and wireless transceiver 3 modules are all equipped with CC2520 and CC2591. 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 an intelligent remote monitoring system. Background technique [0002] In transmission agriculture, workers use experience to perceive natural factors such as light intensity, air humidity, and rainfall to perform their work. In this way, the specific values ​​of each parameter cannot be accurately grasped, and therefore, good crop yields cannot be guaranteed. In order to change this situation, at present, there are intelligent control systems for agricultural planting in China, but they have the disadvantages of sensor network data redundancy, low data monitoring accuracy, and high network energy consumption. Summary of the invention [0003] The purpose of the present invention is to overcome the above-mentioned shortcomings of the prior art and provide an intelligent remote monitoring system that can accurately grasp the natural environmental parameters such as soil t...

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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