Detection of Relative Gaseous Indoor Air-pollution by Tin Oxide Gas Sensor using Production System

Abstract

Gaseous indoor air-pollutants are detected by a tin oxide gas-sensor using the OPS5 system. The system is one of several production systems. The grade of pollution can be indicated more correctly by recognizing types of human behaviors, awaking and sleeping etc. The standard level for gaseous indoor air-pollution is computed by sensor outout data in last 3 weeks. The current input data is compared with the level and the grade of pollution displayed. There are 15 rules to help recognizing indooor air-pollution. Rete algorithm is adopted to match working memory elements and condition parts of rules in production memory quickly.