2. Data transmission and storage: The collected sensor data is transmitted to a data center or cloud platform using IoT technology. Wireless communication technologies (such as Wi-Fi, Bluetooth, LoRa) or wired networks can be used for data transmission. In the data center or cloud platform, the data is stored and processed.
3. Data analysis and processing: In the data center or cloud platform, the collected data undergoes analysis and processing. This includes data cleaning, aggregation, statistical analysis, and modeling to derive useful information and insights. Data analysis helps understand the trends, anomalies, and potential issues related to environmental parameters.
4. Environmental control and optimization: Based on the results of data analysis, the system can automatically or manually control and optimize the environment. For example, using temperature and humidity data, the system can adjust the settings of air conditioning or humidifiers to maintain suitable environmental conditions. By controlling environmental parameters, the system can improve energy efficiency, reduce resource wastage, and optimize aspects such as plant growth or equipment operation.
5. Data monitoring and alerts: The IoT system can continuously monitor environmental parameters and send alerts when abnormal situations or predefined thresholds are triggered. Relevant personnel can be notified through mobile applications, emails, SMS, etc., to take timely actions.
An IoT system that integrates environmental control, data collection, and data monitoring can be applied in various fields such as agriculture, smart buildings, industrial production, to achieve intelligent and efficient operations.
