CRITICAL REVIEW OF AN AI-BASED SCREENING TOOL TO EVALUATE IAQ

摘要

Building owners and facilities managers who recognize the importance of maintaining good Indoor Air Quality (IAQ) have identified the need for a screening tool to facilitate early detection of IAQ problems. Building investigation experts concur that a technology combining the elements of a professional inspection with monitoring data would be beneficial, especially with limited access to on-site industrial hygiene (IH). This paper describes a new approach to routine IAQ screening that integrates the technical experience of IH and engineering professionals with environmental data. It consists of a web-accessible expert system (with experiential knowledge of thousands of building IAQ investigations), linked to an eight-parameter monitor, that transmits building data for automatic analysis. The expert system provides a probabilistic diagnosis and recommends follow-up action. IAQ experts and building managers are reviewing this approach for its screening effectiveness. This paper provides a critical review using three building examples.