有色设备

At present, the main treatment method of urban domestic waste in China is incineration. Domestic waste in China has high moisture content and low calorific value. During the incineration process, operators need to observe the combustion state of the incinerator at all times and then constantly adjust the operating parameters of the incinerator to ensure normal and stable incineration. Manual judgment is highly subjective and requires a lot of manpower. This paper introduces a diagnosis method of combustion state in waste incinerator based on image recognition. Through image processing and artificial intelligence technology, we can quickly judge the waste combustion state in the incinerator, and connect the recognized flame combustion state to the automatic control system, which can improve the intelligent control level of the waste incinerator. The engineering practice shows that through this method of combustion state diagnosis, the accuracy can reach over 95%.