Living security health remote monitoring system based on data integration
A data fusion, healthy remote technology, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve problems such as easy aging of lines, deviation in judgment of fire attributes, poor expansion performance, etc., to increase flexibility and The effect of scalability
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Embodiment 1
[0044] The home safety and health monitoring system based on data fusion mainly includes the functions of monitoring various environmental factors in the family, remote alarming, and monitoring the user's physiological indicators (pulse, body temperature, blood pressure, etc.). The purpose of the system design is to provide a safer, more comfortable and convenient lifestyle for the elderly or the disabled. The system mainly includes three aspects: environmental monitoring, physiological index detection and security alarm.
[0045] figure 1 It is a structural schematic diagram of a remote monitoring method for home safety and health based on data fusion, as shown in the figure: The remote monitoring system for home safety and health based on data fusion provided by the present invention includes a wheelchair, and the wheelchair is provided with a sensor device, a coordinator, Information data processor and communication module
[0046]The sensor device is used to obtain enviro...
Embodiment 2
[0065] Embodiment 2 of the present invention is a specific implementation of the neural network training module and the data fusion processing module in the information data processor provided on the basis of Embodiment 1, and is described in detail as follows.
[0066] According to the theory of data fusion, taking the fire alarm signal as an example to illustrate the data fusion structure of the system, the data fusion structure has three layers: information layer, feature layer and decision layer. The collection and preprocessing of raw data are in the information layer; the feature layer completes the data fusion of the output signal of the information layer, and performs feature extraction; the decision-making layer makes full use of the information from the feature layer to make decisions, and finally realizes the decision.
[0067] In the system design, temperature, smoke, and CO concentration are selected as fire information, and network training samples are selected ac...
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