Abstract
Reform of the multi-mixed data model of college physical training monitoring system under the background of information sciences is studied in this paper. We use a basic combination of event triggering and fixed step size to run large samples of the established experimental scenario and collect the comprehensive event and detection event data of the scenario run. For the integration of the information sciences, the fuzzy data flow optimization and abnormal information finding are both integrated. For the application scenarios, the physical training real-time tracking is studied. The platform implementation work is don based on the study of the overall performance.
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