Establishment of an air quality monitoring model for dust-free rooms using neural network and control chart techniques

Accuracy ventilation in dust-free room is related to the experimental results, proper ventilation can help reduce levels of pollution particles inside the laboratory. In addition to particle pollution exclusion, the pollution particles into the switch through the door, whether we can be inhibited by different ventilation position pollution particles into the lab, then laboratory ventilation should be a priority. Laboratory common sources of pollution, tiny particles such as micro-electromechanical laboratory processes generated by the air conditioning ventilation equipment into dust, biological experiments may leak off bacteria, these contaminated dust particles and bacteria accumulate even off the air in the operating environment, some will direct the human body after inhalation injury, and can cause damage and affect the accuracy of the experimental laboratory equipment.

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