Abstract: A new data filtering and fusion algorithm are proposed for the problems of ineffective energy consumption and short network lifetime in oil and gas IoT( Internet of Things). This algorithm can adaptively judge the degree of data abnormality, filter and fusion data, avoiding redundant network information and excessive energy consumption. The algorithm adaptively determines the abnormality of the data by judging the deviation degree between the monitoring data and the normal data, performs intra-cluster filtering and inter-cluster fusion on the data. Compared with the traditional scheme, the proposed scheme can effectively improve the communication quality and energy consumption efficiency of oil and gas IoT.

Key words: oil and gas internet of things ( IoT ),  , adaptive algorithm,  , energy consumption algorithm,  , efficiency optimization