Intelligent stereo library In many industries, especially in medicine, food, electronics and other fields with strict requirements for the environment, the temperature and humidity in the warehouse are controlled. The control of temperature and humidity is very important to ensure the quality and safety of stored items Stereoscopic library Through a series of high-tech means to achieve automated and intelligent management of the environment.
First, the intelligent stereo library uses advanced sensor networks to monitor the environmental parameters in the warehouse in real time. Temperature and humidity sensors are widely used in various key points of the reservoir area to ensure that the change data of ambient temperature and humidity can be collected in real time. The data of these sensors is transmitted to the central control system through wireless network or wired network, so that the system can monitor the environment in the library in real time, and ensure that the temperature and humidity of all storage areas meet the requirements. Through rapid response to temperature and humidity changes, the system can avoid damage or quality degradation of stored items caused by sudden changes in the environment.
Secondly, the intelligent stereoscopic warehouse is equipped with advanced air conditioning system, humidifier and dehumidification equipment to achieve environmental control. These devices are linked with the central control system to intelligently adjust the temperature and humidity in the warehouse according to the environmental data provided by the sensors. For example, when the sensor detects that the humidity exceeds the standard, the dehumidification equipment will automatically start to reduce the humidity in the warehouse and prevent the items from deteriorating due to moisture intrusion; On the contrary, when the environment is too dry, the humidifier will work timely to maintain the appropriate humidity level. This automatic and dynamic adjustment ensures the stability of the storage environment.
In addition to temperature and humidity control, the intelligent stereoscopic library also considers air circulation and gas pollutant control. In order to prevent uneven temperature and humidity in local areas or "dead corners", ventilation systems and circulating fans are usually designed to ensure uniform distribution of air in the warehouse. In places requiring high cleanliness, such as the storage environment of medicine or electronic products, air filters or purification systems may also be equipped to remove small particles and harmful gases in the air and maintain the air quality in the warehouse.
Intelligent control system is the core of environmental regulation. Through the integrated automatic control platform, operators can set different environmental parameter requirements, and the system automatically adjusts according to the set values. In addition, the environment control system in the intelligent stereo library usually has an abnormal alarm function. If the temperature, humidity or other environmental indicators exceed the preset safety range, the system will send an alarm to notify relevant personnel to intervene to avoid losses caused by equipment failure or environmental mutation. For the required environment, the system can also be equipped with standby power supply and equipment to ensure that the environmental control system of the warehouse can continue to operate stably in case of emergencies.
The intelligent stereo library also uses big data and artificial intelligence technology to optimize environmental control. Through the analysis of historical data, the system can predict the trend of environmental changes in different seasons or production loads, and adjust the equipment in advance. For example, when the temperature is high in summer, the system may increase the power of refrigeration equipment to cope with the coming temperature rise. In addition, the AI system can optimize the operating frequency of equipment, reduce energy consumption and further improve the efficiency of the system according to long-term data.
