Abstract: Object interaction in Internet of Things (IoT) should be dependent on intelligent information processing. Since, the information in IoT is heterogeneous, dynamic and somewhat unpredictable, straightening out the evolution process of information status is necessary for information management and processing. Firstly, the lifecycle of IoT information was analyzed by referencing and imitating the information processing system of human brain and the evolutionary mechanism of information status based on cognitive theory was expounded. Secondly, the information characteristics of each evolutionary stage were analyzed and some typical technologies of information management and intelligent processing were introduced. Finally, the comparative experiments to evaluate the effectiveness of the proposed method were given. The experimental results show that the algorithm is able to get the better solution by less target evaluation times and it can improve the optimization efficiency and realize intelligent processing of the information in IoT.