Introduction to the functions of the central control equipment for intelligent regulation and control of greenhouse environment

The intelligent central control equipment for greenhouse environment is primarily applied in crop production scenarios such as greenhouses and plant factories. All data collected by intelligent modules is transmitted to the backend software platform, enabling automatic monitoring and control of environmental parameters in the greenhouse to meet the varying environmental requirements of different crops.

The main functions of this equipment include:

1. Temperature and humidity monitoring: The equipment can monitor the temperature and humidity in the greenhouse in real-time through temperature and humidity sensors, and upload the data to the backend software platform for analysis and processing.
2. Automatic equipment control: The central control equipment can control devices such as external shading, internal shading, circulating fans, wet curtain cooling, and intelligent heating in multi-span greenhouses. It achieves automatic control of equipment through the backend software platform to meet the environmental needs of different crops.
3. Remote monitoring: The equipment supports remote monitoring, allowing users to monitor greenhouse environmental parameters and equipment operating status anytime, anywhere, through mobile apps, web pages, and other methods, and perform remote control.
4. Embedded intelligent environmental control system: The equipment comes with an embedded intelligent environmental control system that supports multiple working modes, including automatic mode, manual mode, timing mode, etc., allowing users to choose according to their actual needs.
5. Data statistics and analysis: The equipment can perform data statistics and analysis on parameters such as temperature, humidity, and CO2 concentration in the greenhouse, helping users better understand the crop growth environment and optimize and adjust the environment.

The application scenarios of this equipment include crop production scenarios such as greenhouses and plant factories, enabling automatic monitoring and control of environmental parameters in the greenhouse, helping users improve crop yield and quality, and reduce energy consumption and maintenance costs.