| Summary: | 碩士 === 中原大學 === 資訊管理研究所 === 104 === The main thesis of this study is in accordance with SHM (Structural Health Monitoring) feature structural health monitoring applications, sensors to monitor and analyze the captured data, aimed at effective monitoring data anomalies offset value, and set five quadrant control as the basis for subsequent exception handling events, achieve effective information delivery of data, further analysis of the precise events, and smart home system architecture and application as the main analysis.
In the analysis operation can be divided into two blocks SPC(statistical process control) and EPL(Effective Privilege Level) approach, to filter and analyze large data sensor original information, and the use of SHM architecture CM (cluster members) as well as the main core group CH ( cluster heads) as the sensor on the processing and delivery system according to class, thus achieving accurate determination.
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