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Research and application of self-cleaning time detection technology in clean room
2024/8/30
The application of self-cleaning time detection in performance evaluation and maintenance management of clean room is also described, which provides theoretical support and practical guidance for optimal design and efficient operation of clean room.
Key words: clean room; Self-purification time; Detection technology; Performance evaluation; Optimization measure
Introduction
As a special indoor environment, clean room is widely used in electronics, medicine, biology, food and other high-tech industries. The performance of the clean room directly affects the quality and production efficiency of the product, so the evaluation and monitoring of the clean room performance is particularly important. Self-cleaning time is one of the important indicators of clean room performance evaluation, the research and application of its detection technology is of great significance to ensure the normal operation of clean room and improve product quality.
Clean room self-cleaning time detection method
Clean room self-cleaning time refers to the time required for the concentration of particles in the clean room to decrease from a certain initial value to a certain set value. The self-cleaning time is usually measured using a particle counter to assess the self-cleaning performance by measuring the change in the concentration of particles in the clean room. The specific detection methods include static method and dynamic method.1, static test: static test is carried out in the clean room in a static state, by closing the air supply system and exhaust system in the clean room, so that the indoor environment is stable. Then, the particle counter is used to measure the initial value of the concentration of particles in the clean room and the concentration value after a period of time, and the self-purification time is calculated based on the concentration change. The static method is simple and easy to detect, but the result may not be accurate enough due to the influence of external environment.
2. Dynamic detection: Dynamic detection is carried out in the normal operation of the clean room, and the self-cleaning performance is assessed by real-time monitoring of the change in the concentration of particles in the clean room. The dynamic method can more truly reflect the self-cleaning ability of the clean room in the actual operation process, but the operation is more complicated and requires professional testing equipment and technical personnel.
The factors affecting the clean room self-cleaning time
Clean room self-cleaning time is affected by many factors, including the design of clean room, air supply system, filtration system, indoor layout and personnel activities.1. Clean room design
The design of clean room directly affects its self-cleaning performance. Reasonable air flow organization, suitable air exchange times and layout of return tuyere are the key factors affecting self-cleaning time. Therefore, in the clean room design process, it is necessary to fully consider the characteristics and requirements of the indoor environment to ensure that the air distribution is uniform and avoid dead corners and vortices.
2, air supply system
Air supply system is an important guarantee of clean room self-cleaning ability. Factors such as the performance of the air supply system, wind speed and direction will affect the self-cleaning time. Therefore, it is necessary to choose the appropriate air supply equipment and wind speed to ensure the stability and uniformity of air flow.
3. Filtration system
Filtration system is the main means of removing particulate matter in clean rooms. Factors such as filter performance, type and replacement cycle will affect the self-cleaning time. In order to improve the efficiency of self-cleaning, it is necessary to select high efficiency filters, and regularly check and replace them.
4. Interior layout
The layout of equipment and furniture in the clean room will also have an impact on the self-cleaning time. Reasonable layout can reduce the generation and diffusion of particulate matter and improve the efficiency of self-purification. Therefore, in the process of clean room use, it is necessary to rationally arrange the location of equipment and furniture to avoid excessive particles.
5. Personnel activities
Personnel activity is another important factor affecting the clean room self-cleaning time. The entry and exit, movement and operation of personnel will generate particulate matter and increase the pollution load of the clean room. Therefore, personnel activities need to be strictly controlled in the clean room to reduce the generation of particulate matter.
The application and optimization measures of clean room self-cleaning time detection
Clean room self-cleaning time detection has an important application in clean room performance evaluation and maintenance management. Through regular detection of self-cleaning time, problems existing in clean rooms can be found in time, which provides a basis for optimizing design and improving operation.For the factors that affect the self-cleaning time, the following optimization measures can be taken:
Optimize clean room design, improve air flow organization and return vent layout, and improve self-cleaning efficiency.
The selection of high-performance air supply equipment and filters to ensure the stability of air flow and filtration effect.
Reasonably arrange the layout of equipment and furniture in the clean room to reduce the generation and diffusion of particulate matter.
Strictly control personnel activities, reduce the generation of particulate matter, and reduce the pollution load of clean rooms.
Case analysis
This paper takes the clean room of an electronics factory as an example, through the detection and analysis of its self-cleaning time, puts forward the targeted optimization measures. After optimization, the self-cleaning time of clean room is obviously shortened, and the indoor environmental quality is significantly improved. This case fully demonstrates the importance and effectiveness of self-cleaning time detection in clean room performance evaluation and optimization design.
Conclusion
Clean room self-cleaning time detection is an important guarantee to ensure the stability of clean room performance and product quality. By deeply studying the detection methods and influencing factors of self-cleaning time, and taking effective optimization measures, the self-cleaning efficiency of clean room can be improved, the pollution load can be reduced, and the development of high-tech industry can be strongly supported. In the future, with the continuous progress of technology and the continuous improvement of application needs, clean room self-cleaning time detection technology will be further improved and developed, providing more possibilities for the optimal design and efficient operation of clean rooms.
