Piglet death event clustering analysis method

The invention provides a piglet death event clustering analysis method, which is characterized by comprising the following steps: S1, monitoring piglets in each pig house to obtain a plurality of real-time data, the real-time data comprising defecation information, behavior information, diet informa...

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Bibliographische Detailangaben
Hauptverfasser: XUE SUJIN, LIU ZONGNING, YANG KUN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a piglet death event clustering analysis method, which is characterized by comprising the following steps: S1, monitoring piglets in each pig house to obtain a plurality of real-time data, the real-time data comprising defecation information, behavior information, diet information and environment information of the piglets in the pig house; s2, when the piglets in the fence die, real-time data information of the piglets in the fence in a preset historical time period is obtained, and the preset historical time period is multiple days before the death event occurs; s3, performing clustering analysis on the real-time data information of the piglets in the field in a preset historical period to generate a plurality of data sets; and S4, obtaining the cause of the death event according to the plurality of data sets. According to the method, the defecation information, the behavior information, the diet information and the environment information of the piglets in each fence are clustered, s