T/CBMMAS 11-2020 Active Group standards

T/CBMMAS 11-2020 The online monitoring technical requirements for marine biological aerosol particles concentration

Publish Date: 2020-12-08 Implement Date: 2020-12-28 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/CBMMAS 11-2020

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: Aviation and aerospace integration

ICS Name: Integrated air quality

Publish Date: 2020-12-08

Implement Date: 2020-12-28

Scope

Main Technical Content: (1) Composition and Requirements of the Monitoring System This section references the specific parameters of online monitors from multiple domestic and foreign manufacturers and selects representative technical indicator limits. a) Detection particle size range: (0.3–10) μm b) Sensitivity: Minimum detection limit not exceeding 50 microorganisms/L c) Particle concentration detection error: ±30% full scale d) Sampling air intake flow rate: not less than 1 L/min e) Detection response time: not exceeding 30 s f) Self-cleaning time: not exceeding 10 min g) Local data storage capacity: more than 100,000 records (with a 1-minute monitoring sampling interval) h) Operating environment: temperature (0–40) °C, relative humidity 5% RH–85% RH (non-condensing) i) Protection rating: IP52 (2) The main editing unit of the monitoring system jointly developed a ship cabin air quality monitoring platform based on online monitoring equipment (Figure 9). A comprehensive online monitoring system was initially established, focusing on airborne biological aerosol monitoring while also considering air quality indicators such as PM2.5 and carbon dioxide, as well as environmental indicators like temperature and humidity and noise. Among these, the Bio-Environmental Health Real-Time Monitoring and Early Warning System is an integrated solution combining biological aerosol monitoring and early warning solutions, disinfection and sterilization solutions, and cloud platform data analysis and visualization. It consists of a real-time monitoring and early warning system, a disinfection and sterilization system, a data analysis module, and a comprehensive cloud platform. This system rapidly and accurately provides risk early warning and processing without manual intervention, maximally ensuring personnel safety. It serves as a powerful safeguard for detecting and addressing biological contamination and enables airborne biological environmental health m