Intelligent pig raising growth health dynamic monitoring management system based on big data

Abstract

The invention discloses an intelligent pig raising growth health dynamic monitoring management system based on big data. The system comprises a pig house division module, a weight detection module, abody condition analysis module, a feeding amount adjustment module, a backfat detection module, a fat condition analysis module, a fat condition adjustment module, an early warning display module, ananalysis server and a storage database. According to the system, pig houses are divided according to pregnancy stages of pregnant sows, the weight of each pregnant sow in each pig house is detected, the average difference value of the weight of the pregnant sows in each pig house is calculated, the body condition of the pregnant sows in each pig house is analyzed, the feeding amount is adjusted, the backfat of each pregnant sow in each pig house is detected, the fat condition of each pregnant sow is analyzed and adjusted, the embryo life health safety coefficient of each pregnant sow in each pig house is comprehensively calculated, the pregnant sows with the embryo life in danger are treated, the health of the pregnant sows is guaranteed, and the growth and development of embryos are promoted.

Description

technical field [0001] The invention relates to the field of pig growth and health monitoring, and relates to an intelligent dynamic monitoring and management system for pig growth and health based on big data. Background technique [0002] In recent years, pig raising has changed from free-range to intensive, from outsourcing to self-breeding and self-raising. It has become an effective way to get rid of poverty and become rich in rural areas. As a result, some farmers have embarked on the road to prosperity, but most farmers have worked hard for several years , the economic benefits of pig farming are poor or even loss-making, and the breeding management of pregnant sows is an important factor affecting the development and economic benefits of most pig farms. [0003] At present, the traditional breeding management mode of pregnant sows adopts the method of group breeding in large circles for management, which cannot guarantee the uniformity of feed intake. The amount of ...

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Problems solved by technology

[0003] At present, the traditional breeding management mode of pregnant sows adopts the method of group breeding in large circles for management, which cannot guarantee the uniformity of feed intake. The amount of feeding causes some pregnant sows to be too fat or too thin, which is not conducive to the mammary gland development and embryo growth and development of pregnant sows, and the traditional detection method can not be based on the body condition of pregnant sows by visual inspection of pregnant sows. Nutritional regulation of body condition endangers the health of pregnant sows and increases embryo mortality in the abdomen of pregnant sows. At the same time, the life and health of embryos can be judged through the feeding experience of breeders, which reduces the litter size of pregnant sows and causes pig farms In order to solve the above problems, an intelligent pig growth and health dynamic monitoring management system based on big data is now designed

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