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In order to improve the intelligent decision-making level of participatory sensing system, this paper proposes a new mutual inductance search algorithm. This algorithm uses opportunistic routing principle to select the nodes in the channel, by selecting the closest node as the next hop node, which can greatly improve the decision efficiency. This paper uses opportunistic routing source node to design mutual inductance mathematical model of moral belief culture, and uses PLC to establish the mutual communication of moral belief culture, which realizes the code topology between CPUs of morality and belief user terminal, finally through the path search this paper obtains the basic data of the matching between moral belief culture and the students, which provides a computer method for the study of new participatory mutual inductance system. Introduction Participatory sensing emphasizes the participation of people in the process of perception, so people can perception and record of city and social status. The information perceived by a personal or groups through the fusion can be used by other people or groups. This perception mode starts from the perception of individual or groups, and stops when the individual and groups consume the perceptual information, and so forth, it is always the perception participants, controller and influence [1, 2]. This paper applies the participatory sensing system in the training idea of morality and belief, and uses mutual inductance search algorithm to design the communication system of moral belief, and its basic frame is as shown in Figure 1.

Optimization Algorithm of Organizing Network Opportunity and Node Position in Intelligent Community of Participatory Sensing System