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This paper proposes single source segmented coding model (SSSCM) in view of the data collection problem in sub areas of a large-scale wireless peer-to-peer sensing network in a triggered data scenario. The data encoded between multiple segments of a single source node is used to record the source data, which improves the reliability of the data and makes it suitable for partial data collection under large-scale networks. We use random walk coding packets to perform encoding operations to avoid excessive energy consumption of the source node. At the same time, dynamic segmentation of coding units (DSCU) is proposed, using the information exchange to dynamically adjust the size of the coding unit to achieve a dynamic balance between node storage space and collection efficiency. In addition, for data collection in disaster scenarios, dynamic adjustment of disaster sensing coding redundancy (DADSCR) is proposed, which dynamically adjusts the number of random walk packets sent through the perception of neighbor status, adaptively increases redundancy, and further improve the data recovery rate.