Study on knowledge discovery algorithm of automatic control system combined with optical sensor

Based on the user's interest in acquiring information on the status data of household appliances, a knowledge discovery algorithm combined with optical sensors for automatic control is proposed. Collecting data through optical sensors, it is analysed on the relationship between functions, status data, and family events, using fuzzy theory to convert household appliances’ status values into linguistic variables. Through the knowledge expression method of the script, the family events that the user is interested in are related to the language variables, and on this basis, the reasoning of family events is realized. Simulation experiments show that the algorithm can obtain relevant information through the optical sensor and sample to the state value of the household appliances, and realize the reprocessing of the acquired information according to the user's interest, which can solve the problems from the state of the household appliance to the family event and its inference.