How is the IoT smart greenhouse control system designed?

The key to designing an IoT smart greenhouse control system is to combine the characteristics of greenhouse crops and the growth environment, and use a variety of sensors and controller devices to achieve automatic monitoring and control.

The specific design process is as follows:

1.Greenhouse characteristics analysis

Analyze the size, structure, orientation, external environment, crop types and other characteristics of the greenhouse to determine the control system requirements and technical solutions.

2.Sensor selection

According to the needs of crop growth, select sensors such as temperature, humidity, light, CO2 concentration, soil moisture, nutrient solution pH value, etc. to achieve real-time monitoring.

3.Controller selection

Select suitable controllers, such as irrigation systems, ventilation systems, light controllers, heating controllers, etc., to achieve real-time control.

4.External devices

According to needs, select external devices such as computers, mobile phones, tablets, etc. to remotely monitor and control the greenhouse environment.

5.Device connection

Connect sensors, controllers and external devices to the IoT gateway, and realize data interaction and control command transmission between devices through signal transmission methods such as BLE, Wifi, ZigBee, etc.

6.Data processing

Use cloud computing technology to design a reasonable data processing solution, analyze and process the greenhouse environment data collected by sensors, and automatically generate data reports such as growth curves, growth status, and timely warnings.

7.Control and decision-making

According to the preset control and decision-making strategies, on the basis of data processing, the greenhouse growth environment is automatically supervised, controlled and adjusted, such as automatic drug dispensing management, on-demand irrigation, ventilation and heating.

In short, the IoT smart greenhouse control system uses advanced sensors, controllers and cloud computing technology to build the greenhouse growth environment information into a visual platform, realize remote monitoring, automatic control and data analysis of the greenhouse, and provide strong support for the growth and development of crops in the greenhouse.