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Research And Implementation Of The Key Technology In The Intelligent Integrated Feeding System Of Organic Pigs

Posted on:2017-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:H ZhangFull Text:PDF
GTID:2283330485463996Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In recent years, with the rapid development of global pork supply chain, the requirements on the quality of pork become increasing higher other than the growing demand for the quantity of pork. There are many kinds of pig-feeding methods in our country, however, some problems still exist, such as, low-rise degree of scale, incomplete technology of integration, and unscientific feeding management, which leads to the quality and yield of pork is not up to standard. Besides, the benefit of the farms generally is not high, and the enthusiasm of feeding pig continues to decrease and so on.In order to solve some problems in the domestic pig industry, in this paper, the key technologies of the intelligent integrated feeding system for organic pig were studied and realized. The key technologies used in the system are summarized as follows:based on ant colony algorithm for dynamic feed combination selection method, wireless communication technology, radio frequency identification technology (RFID),global positioning technology (GPS) and so on.Organic diet is an important part of organic pig farming, organic pigs need to eat organic corn, organic soybeans, organic wheat bran and other natural organic crops during the feeding period, and according to different growth stages of live pigs to choose different types of feed, in order to meet the nutritional needs of the various stages of the growth of pigs. In order to meet the demand of organic feed for organic pig, this paper designs a dynamic feed providers combination selection method which is based on ant colony algorithm, this method can be used to select the organic feed combination according to the different growth stages of the organic pig, so that the selection of organic feed more in line with the nutritional needs of organic pigs.Through the comprehensive application of ant colony algorithm, this design can help us to select different feed combinations provided by multiple service providers, and form a multi-objective decision problem which satisfying the constraint conditions. In addition, the optimal solution combination with a higher absorption rate and lower cost is obtained so that finally the service provider combination of this optimal solution combination is about to be selected. The experimental results show that, this method not only reduces the cost, but also makes the content of nutrient elements be closer to the pig-breeding standard requirements.In addition, the key technologies of this system also include many others. For instance, through radio frequency identification technology (RFID) to identify the individual pigs, and automatically collect the respective data of feed intake, daily gain, body temperature, etc. Through analysis of software, the curve of the birth length and the feed intake can be drawn, and the basic data of the formula can be obtained, so that the feeding data can be calculated automatically according to the simulation model of the growth of pigs to transmit information to control the automatic feeding equipment through the wireless communication technology. What’s more, through the sensors to collect temperature, humidity and ammonia concentration of environmental data, the suitable environment for the growth of the pig can be realized after analysis. And through network automatic control piggery environmental equipment, pigs can be always kept in the best growth environment in order to improve the growth rate of pigs; Obtaining real-time position information of live pigs by global positioning technology (GPS), facilitate feeding personnel to monitor the pig, to prevent the loss of pigs.In short, the whole system is the integration and optimization of computer technology, wireless communication technology, radio frequency identification (RFID) technology and so on, it has completed the interdisciplinary research and the fusion well, and has brought a new perspective for the domestic breeding industry.
Keywords/Search Tags:pig industry, ant colony algorithm, RFID, wireless communication, sensor
PDF Full Text Request
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