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This invention relates to the field of rehabilitation data communication technology, specifically a method for integrated medical and educational multimodal data acquisition and analysis for autism rehabilitation. The method includes: constructing a set of multimodal data acquisition units; performing integrated autism rehabilitation data detection based on these units to obtain multimodal rehabilitation data; if the multimodal rehabilitation data contains anomaly tags, transmitting the data to the original receiving terminal via an emergency transmission channel to obtain the target receiving terminal; if the multimodal rehabilitation data does not contain anomaly tags, recording it as normal polling data; summarizing the normal polling data to obtain a normal polling dataset; and transmitting the normal polling dataset to the original receiving terminal to obtain the target receiving terminal. This invention can improve the accuracy of rehabilitation status monitoring and reduce the risk of missed reports of abnormal conditions.

The invention relates to the technical field of oil exploitation downhole operation, in particular to a downhole operation monitoring method and system, and the method comprises the steps: deploying an integrated monitoring node network in a downhole target area, and enabling the monitoring node network to comprise a plurality of distributed monitoring nodes; through the distributed monitoring nodes, multiple physical parameters in the underground operation process are synchronously collected, and multi-source heterogeneous monitoring data are formed; carrying out edge calculation processing on the multi-source heterogeneous monitoring data in a well to extract feature information representing an underground working condition state; and adaptively selecting a data transmission mode based on a preset data priority rule and the current channel state, and uploading the processed feature information to a monitoring center through a communication network. The method realizes real-time panoramic monitoring of the underground operation state, reduces the communication bandwidth demand through local data processing, and improves the communication efficiency. And transmission of key alarm information can still be guaranteed when channel conditions fluctuate.