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基于分布式對象的蛋雞舍設(shè)施養(yǎng)殖數(shù)字化智能監(jiān)測系統(tǒng)
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國家重點研發(fā)計劃項目(2016YFD0700204)


Intelligent Monitoring System Based on Distributed Object for Layer House
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    摘要:

    為了在非人為干擾條件下,可實時監(jiān)測預(yù)警蛋雞生產(chǎn)環(huán)境和生產(chǎn)過程,保障動物福利,本文基于可被遠(yuǎn)程調(diào)用的分布式對象的3Tiers物聯(lián)網(wǎng)軟件體系結(jié)構(gòu),將傳感器技術(shù)和云技術(shù)結(jié)合在一起,設(shè)計了蛋雞舍設(shè)施養(yǎng)殖數(shù)字化智能監(jiān)測系統(tǒng)。3Tiers物聯(lián)網(wǎng)軟件架構(gòu)考慮了大量的異構(gòu)數(shù)據(jù)集成和對傳感器設(shè)備的監(jiān)測、遠(yuǎn)程交互性能的需求,滿足了本研究中對規(guī)模化蛋雞生產(chǎn)過程的研究要求。系統(tǒng)實現(xiàn)了規(guī)模化蛋雞舍的實時生產(chǎn)環(huán)境參數(shù)采集和視頻監(jiān)控、生產(chǎn)資料管理、生產(chǎn)過程管理、基礎(chǔ)信息管理、統(tǒng)計管理、預(yù)警設(shè)置管理、系統(tǒng)管理和推送管理功能??紤]到溫?zé)岘h(huán)境對蛋雞健康福利和生產(chǎn)性能有著重要的影響,利用系統(tǒng)中的大量環(huán)境數(shù)據(jù),對中國農(nóng)業(yè)大學(xué)上莊實驗站大雞舍內(nèi)的小氣候環(huán)境舒適度進(jìn)行評價,并結(jié)合產(chǎn)蛋率、死淘率和耗料,在黃山養(yǎng)殖場對環(huán)境舒適度評價進(jìn)行了驗證。通過對上莊雞舍24h周期內(nèi)和2016年11月—2017年4月的環(huán)境情況進(jìn)行分析,結(jié)果表明實驗蛋雞舍內(nèi)的小氣候環(huán)境溫濕指數(shù)始終小于70,蛋雞群始終處于舒適區(qū);而通過對養(yǎng)殖場雞舍2016年7—10月份的環(huán)境數(shù)據(jù)和生產(chǎn)數(shù)據(jù)進(jìn)行分析,驗證了當(dāng)?shù)半u處于舒適區(qū)時,產(chǎn)蛋率提升,死淘率下降,耗料更接近標(biāo)準(zhǔn)。

    Abstract:

    In view of the present situation that the development of the layer breeding industry from scattered to intensive and large-scale, the traditional breeding methods cannot meet the requirements of the development. In order to real-time monitor and early warn the egg production environment and the production process of laying hens under the conditions of non-human interference, as well as the protection of animal welfare, 3Tiers, the networking software architecture based on distributed objects that can be called remotely, combining the sensor technology and cloud technology, was used to develop layer house real-time monitoring system. 3Tiers networking software architecture took integration of large amounts of heterogeneous data, the demand of monitoring sensors and remote interactive performance with sensors into consideration, which totally met the requirements of scaling farming. The system realized scaling layer house real-time production environment parameters acquisition and real-time video monitoring, production management, production process management, basic information management, statistical management, early warning management, system management and push management functions. Considering the thermal environment had an important impact on the health and welfare of laying hens and production performance. A large number of environmental data in the system was used to evaluate the microclimate environmental comfort in China Agricultural University Shangzhuang Station. Then egg production rate, death rate and feed consumption of a henhouse in Huangshan were used to verify the evaluation of the environmental comfort. The results showed that during the 24h cycle and the whole period from November 2016 to April 2017, the value of the microclimate environment in the layer house of Shangzhuang Station was less than 70, which meant that the group of laying hens was always in the comfort zone. With the environmental data and production data analysis of a henhouse from July to October of 2016, it verified that when laying hens were in comfort zone, laying rate was increased, the death rate was decreased, and the feed consumption was more close to the standard.

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孟超英,王佳,陳紅茜,李輝,張雪彬.基于分布式對象的蛋雞舍設(shè)施養(yǎng)殖數(shù)字化智能監(jiān)測系統(tǒng)[J].農(nóng)業(yè)機(jī)械學(xué)報,2017,48(10):292-299. MENG Chaoying, WANG Jia, CHEN Hongqian, LI Hui, ZHANG Xuebin. Intelligent Monitoring System Based on Distributed Object for Layer House[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(10):292-299.

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  • 收稿日期:2017-01-25
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  • 在線發(fā)布日期: 2017-10-10
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