Method and device for predicting environment information of Internet of Things

The invention discloses a method and device for predicting environment information of the Internet of Things, and relates to the technical field of environment monitoring of the Internet of Things. The method comprises the following steps: acquiring environment information collected by a sensor, whe...

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Hauptverfasser:	DAI WUJUN, QI GAOHUA, SUN XING, BAO WEINA, LIU JINBO, ZHAO QI, LI WEIXIN, ZHU HE, XU GUANGYU, SONG CHENGKAI, ZHAO YANG, YANG RENSAN, PAN YONG, ZHAO KUANGSHENG, LI LIN, TANG GUANGJUN, LI YAO, ZHANG JUNXIAN, XUE CHANGZHENG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEASURING MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TARIFF METERING APPARATUS TESTING
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Beschreibung
Zusammenfassung:	The invention discloses a method and device for predicting environment information of the Internet of Things, and relates to the technical field of environment monitoring of the Internet of Things. The method comprises the following steps: acquiring environment information collected by a sensor, wherein the environment information at least comprises one of temperature information, humidity information, harmful gas concentration, smoke concentration, illumination intensity and soil PH value; the environment information is preprocessed; establishing a data prediction model according to the environment information obtained after preprocessing; and predicting the environment information according to the data prediction model. Through the established data prediction model, when the communication module is powered down or has a fault, the environment information which is not transmitted completely can be predicted through the data prediction model, so that missing data is supplemented, and the real-time performance