Overview:
The smart greenhouse solution is based on accurate agricultural sensors to monitor the fields in real-time, and uses cloud computing, data mining, and other technologies to conduct multi-level analysis, which improves the ability of agricultural production to respond to natural environment risks, and makes the disadvantaged traditional agriculture a modern industry with high efficiency. . Agricultural environmental monitoring mainly monitors and captures air temperature, air humidity, ultraviolet intensity, total solar radiation, PH value, wind speed, wind direction, wind power, rainfall, and insect conditions. Agricultural fields can be monitored in real-time through meteorological equipment. Smart Greenhouse Solutions
System composition:
The smart greenhouse system mainly includes four layers: the perception layer, the transmission layer, the application layer, and the control layer. The main function of the perception layer is to obtain the front-end perception information in real-time and monitor the environmental information in the greenhouse in real-time; the transmission layer mainly transmits the monitoring data to the data The processing center; the application layer processes and stores the received information generates various reports, and raises alarms according to the set threshold; the control layer controls the greenhouse according to various environmental data monitored by the sensor equipment. of commonly used equipment for automatic operation.
Smart Greenhouse Solutions
System functions:
real-time monitoring
Remotely view the real-time environmental data of the greenhouse through the computer and mobile terminal, including air humidity, air temperature, soil temperature, soil humidity, illuminance, carbon dioxide concentration, oxygen concentration, and other environmental information closely related to crop growth.
Remotely view the real-time video of the greenhouse through the computer and mobile phone.Check the access control records of the greenhouse, and view the video. Know the status of the greenhouse anytime and anywhere. And prevent theft.
The greenhouse environment alarm record can be viewed at any time, the user can directly handle the alarm, the system automatically records the information, and remotely controls the greenhouse equipment.
Remotely control temperature, humidity and improve work efficiency.
Visually view the real-time graph of greenhouse environmental data.Grasp the crop growth environment in time, and increase production experience.
Smart greenhouse real-time monitoring
Smart alarm
The upper and lower thresholds of different environmental parameters of each greenhouse can be flexibly set. The system can remind managers through mobile phone text messages, system messages, etc. According to the configuration to ensure the normal environment for crop growth.
The alarm content is flexibly set, and different reminder content can be set for different users to meet the individual needs of customers to the greatest extent.
View the associated greenhouse equipment according to the alarm record, control the greenhouse equipment more timely, quickly, remotely, and efficiently, and efficiently deal with environmental problems.
Remote automatic control
Through advanced Internet of Things and automation technology. As well as professional operation and maintenance. But the system allows users to control greenhouse equipment anytime. And anywhere without leaving home, improving work efficiency and reducing labor costs.
With custom rules, the equipment of the entire greenhouse is automatically controlled with the change of the environment.
Smart greenhouse automation control
Historical data analysis
Through different conditions, the historical data that the user wants to know can be queried. And can be viewed intuitively through the curve. Which plays a positive role in the accumulation of agricultural knowledge for the user.
The system relies on a powerful cloud operation and maintenance platform in the background. Through the analysis of big data, it can help users analyze environmental parameters that are more suitable for crop growth. And provide a certain references for users’ future production behavior.
