In order to improve level of edible mushroom room environment monitoring

reduce edible fungus production loss caused by mushroom house abnormal circumstances

abandon commonly used threshold method to judge mushroom house abnormal environment

put forward a kind of mushroom room abnormal environmental reasoning method based on forward fuzzy reasoning

through the Internet of things（Io T） technology

mushroom house environment real-time data acquisition is carried out

and through data preprocessing method

remove the outliers in original sensing data

data fusion technology of weighted average method is used to fuse multisensor data inside the same mushroom room

through forward fuzzy reasoning method

reasoning of mushroom abnormal environment is carried out.Design and implement mushroom house abnormal environmental early warning system

the system adopts B / S system architecture

which is convenient for users to view mushroom room environment anywhere

receive abnormal environment early warning information.After test operation for a period of time

it is proved that the system uses forward fuzzy reasoning method can accurately infer occurrence of abnormal environment of mushroom house

at the same time effectively reduce false alert information.