Abstract:This paper mainly introduces the exploration and practice of intelligent management of cold storage for deep processing of strains, aiming to improve the management efficiency of cold storage and ensure the quality and safety of strains through advanced information technology and management methods.
I. Introduction. The cold storage for deep processing of strains is an important infrastructure for the biomedical industry, which is of great significance for ensuring the quality and safety of strains. With the development of information technology, intelligent management has become an important trend in cold storage management. Through intelligent management, the management efficiency of cold storage can be improved, the management cost can be reduced, and the quality and safety of strains can be guaranteed.
Second, the design of intelligent management system.
1.Hardware equipment: The intelligent management system needs to be equipped with advanced sensors such as temperature, humidity, and pressure, as well as intelligent control equipment, such as intelligent incubators, intelligent ventilation systems, etc. These devices are able to monitor the environmental parameters of the cold store in real time and transmit the data to the management system.
2.Software platform: The intelligent management system needs to adopt an advanced software platform, which can realize real-time data collection, analysis, early warning and other functions. At the same time, the system needs to have an open data interface that can exchange and share data with other systems.
3. Application and practice of intelligent management system.
1.Automatic monitoring: The intelligent management system can monitor the environmental parameters of the cold storage in real time, such as temperature, humidity, pressure, etc., and once there is an abnormal situation, the system will automatically alarm and take corresponding measures.
2.Automatic control: The intelligent management system can automatically adjust the temperature and humidity of the incubator according to the environmental parameters and storage requirements of the cold storage to ensure the quality and safety of the strains. At the same time, the system can also automatically allocate storage space according to storage requirements to improve storage efficiency.
3.Automatic reports: The intelligent management system can automatically generate various reports, such as inventory reports, storage reports, etc., which is convenient for managers to grasp the management of cold storage in real time.
Fourth, the practical effect and summary.
Through the application and practice of the intelligent management system, the management efficiency of the cold storage for deep processing of strains has been significantly improved, and the management cost has also been reduced. Practice has proved that the intelligent management system is an effective means to achieve efficient and safe management of cold storage. In the future, we also need to further improve the intelligent management system, improve the stability and reliability of the system, and strengthen the training and management of personnel to ensure that the intelligent management system is effectively applied and practiced.
In short, the exploration and practice of intelligent management of cold storage for deep processing of strains is one of the important trends in the development of the biomedical industry. Through continuous exploration and practice, we can better realize the efficiency, safety and management of cold storage, and provide a strong guarantee for the sustainable development of the biomedical industry. Cold storage construction
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