Indoor positioning method and device based on low power consumption BLE, and medium
Through the indoor positioning method based on low-power BLE, combined with genetic algorithm and gray wolf algorithm to optimize sensor layout, the problem of local optimal solutions for sensor layout algorithms is solved, and high-precision monitoring of activities for the elderly with fewer sensors is achieved.
CN119922504APending Publication Date: 2025-05-02SHANDONG INSPUR SCI RES INST CO LTD
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Patent Information
- Application Number
- CN202510110626.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-23
- Publication Date
- 2025-05-02
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Figure CN119922504A_ABST
Abstract
The invention discloses an indoor positioning method and device based on low power consumption BLE and a medium, and relates to the technical field of side end artificial intelligence, and the method comprises the steps: carrying out the grid unit vector division of indoor environment data, so as to obtain a monitoring sensor vector of a to-be-analyzed independent space; based on the monitoring sensor vector, through analysis of the influence degree of the senior citizen activities on the sensor, determining the influence weight parameter of the senior citizen activities on the monitoring sensor; determining an average impact value of the activities of the old people on the monitoring sensor through contribution analysis of the monitoring sensor; determining a to-be-optimized layout of the monitoring sensor through sparse matrix weight threshold judgment; performing monitoring sensor layout optimization on the to-be-optimized layout of the monitoring sensor to determine an optimization objective function; and performing weighting coefficient iterative operation on the optimization objective function, and determining the layout of the monitoring sensor. According to the method, the technical problem that the local solution and the measurement precision are insufficient in the optimal arrangement of the sensor in the state monitoring of the elderly living alone is solved.
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