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The Design And Implementation Of The Cow Individual Physiological Parametermulti-source Sensing Equipment

Posted on:2016-10-13Degree:MasterType:Thesis
Country:ChinaCandidate:S ZhengFull Text:PDF
GTID:2283330461498548Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In recent years, with the rapid growth of milk demand and the continuous improvement of living standards of our people, so that Chinese dairy industry has been developing rapidly, but it’s still very backward. The quality of raw milk is not high. Being compared with the developed countries, there is still a large gap in per capita consumption of milk and annual milk production. The reason is because of our cow breeding architecture is not perfect, and the technological level is low, and the technology of cow breeding is backward, and the method of cow breeding is extensive, and modern management means is lack. In this case, facing with the scale, automation, technology and information of the cow’s breeding in our country, the paper developed a stable performance and low-cost multi-source sensing equipment of the cow individual physiological parameter. In order to provide data basis for determining the health status and estrus of cows, we use the device to detect three key physiological parameters: body temperature, pulse and activity.Firstly, we give an overall design to multi-source sensing equipment of the cow individual physiological parameter. It requires some features, such as small size, light weight, low power consumption, anti-collision, waterproof, durable and so on. The device is designed to be worn on the neck of the cow. It applies a variety of sensors to detect the cow body temperature, pulse and activity. And it sends these datas to the center node via the Zig Bee wireless network. Then transmit the datas to the information center through RS485. In order to improve the measurement accuracy, we take measures to enhance the anti-interference of the equipment. It is suggested on bases of careful feasibility study in both technologically and economically.Secondly, we give the detailed design and implementation of the device from three aspects: the main processor module, the sensor module and data transmission module. MSP430F149 microcontroller is chosen as the main processor of the device to complete the functions of the data processing and controlling. We collect the datas of cow body temperature, pulse and triaxial accelerometer by MLX90614, Pulse Sensor and ADXL345. And introduce the design of their hardware and software. Zig Bee, which has the features of ad-hoc network and low power, is used for wireless communications. CC2530 is applied to finish transmitting the datas.Finally, introduce the detailed description of the two key technologies in this paper: the classification of cow’s behavioral characteristics and the design of low power. The SVM classification algorithm based on binary tree is applied to classify cow’s behavioral characteristics to represent their activity. It is divided into standing, lying down, walking, brisk walking, creeping, jogging and running. We establish six SVM classification model and assess that the model is feasible. To extend the operating time of the device, we design it from four aspects: the component selection, the external circuit design, power supply design and software programs controlling.In summary, the multi-source sensing equipment of the cow individual physiological parameter implements the data collecting and transmitting of the cow body temperature, pulse and activity. The device, which is worth extending with the advantages of high accuracy, low cost and good practicability, contributes to fine and healthy breeding of the Chinese cows. It has a very important significance for promoting the healthy and sustainable development of Chinese dairy industry and the transformation of the cows breeding.
Keywords/Search Tags:Cow, Signs detection, Body temperature, Pulse, Activity
PDF Full Text Request
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