高云, 陈震撼, 王瑜, 李小平, 郭继亮. 多环境参数控制的猪养殖箱设计及箱内气流场分析[J]. 农业工程学报, 2019, 35(2): 203-212. DOI: 10.11975/j.issn.1002-6819.2019.02.026
    引用本文: 高云, 陈震撼, 王瑜, 李小平, 郭继亮. 多环境参数控制的猪养殖箱设计及箱内气流场分析[J]. 农业工程学报, 2019, 35(2): 203-212. DOI: 10.11975/j.issn.1002-6819.2019.02.026
    Gao Yun, Chen Zhenhan, Wang Yu, Li Xiaoping, Guo Jiliang. Design for pig breeding chamber under multiple environment variable control and analysis of internal flow field[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(2): 203-212. DOI: 10.11975/j.issn.1002-6819.2019.02.026
    Citation: Gao Yun, Chen Zhenhan, Wang Yu, Li Xiaoping, Guo Jiliang. Design for pig breeding chamber under multiple environment variable control and analysis of internal flow field[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2019, 35(2): 203-212. DOI: 10.11975/j.issn.1002-6819.2019.02.026

    多环境参数控制的猪养殖箱设计及箱内气流场分析

    Design for pig breeding chamber under multiple environment variable control and analysis of internal flow field

    • 摘要: 在规模化养殖中猪舍环境日益重要的背景下,为了便于研究猪舍内不同环境对猪健康的影响,该文设计了基于多环境参数控制的猪养殖箱。养殖箱采用气流自循环的通风模式,通过ANSYS对该养殖试验箱的气流场走向、模式以及风速适宜性进行模拟仿真。该养殖箱利用环境因子检测模块中的传感器集成节点和激光NH3传感器实时获取养殖箱内的温度、相对湿度、NH3浓度、CO2浓度、风速等环境数据,并通过通信中转节点STM32发送至主控制器可编程逻辑控制器(programmable logical controller,PLC),PLC对环境数据进行处理,并根据已处理的环境数据进行环境调控,实现箱内环境的自动控制。与此同时,PLC将环境数据上发至上位机PC,通过WinCC监控软件实现了环境数据动态显示,通过VB脚本实现了历史数据自动定时导出至Excel文件功能。养殖箱气流烟雾试验、空箱试验以及保育猪养殖试验结果表明:养殖箱内气流走向形成大循环,且通风无死角,养殖箱环境控制系统的温度控制精度为±1℃,相对湿度可以控制在50%~80%的适宜范围内,NH3浓度控制精度小于±3(10-6,CO2浓度可以控制在1540(10-6以下,养殖箱能够在较长时间稳定运行的同时,实现了箱内温度、相对湿度、NH3浓度、CO2浓度等环境因子精确控制,为不同环境的养殖试验提供试验平台。

       

      Abstract: In the context of the increasing importance on environmental control in large-scale pig farming operations, more attention is being given to the research on different environmental impacts on pig health. In order to conduct variable environments for pig health experiments, a pig breeding chamber under multiple environment variable control was designed in this paper for more precise environmental control experiments. The pig breeding chamber was composed of 4 parts, the main chamber, the air mixing box, the environmental regulation executing devices, and the environmental control system. The main chamber was the living space for experimental animals. The air mixing box was used to regulate the air variables, such as temperature, relative humidity, NH3 and CO2 concentration, before the air entering the main chamber. The environmental regulation executing devices involved the fans, the air valves, the air conditioning compressor, the air heating pipe, the electromagnetic valve for NH3. Then the environmental control system read environment variables through sensors and controlled the working of all the environmental regulation executing devices to limit the environment variables in the main chamber in a setting range. Main ventilation mode of the pig breeding chamber was self-circulated. A fan working at the outlet built a negative pressure to exhaust the airflow entering the main chamber through the air mixing box and the ventilation pipe. The air flow entered the main chamber through three air inlets, dissipated in the chamber and then was exhausted from the outlet, thereby forming the air circulation. The air conditioning compressor and air heating pipe in the air mixing box could cool down or heat up the airflow respectively, and the electromagnetic valve for NH3 gas could increase NH3 concentration of the airflow. The exhaust air valve was working with the fresh air valve to reduce NH3 concentration or CO2 concentration in the chamber. The airflow in the main chamber was optimized previously by ANSYS flow field simulation. The environmental control system of the chamber was composed of environmental variable detection module, S7-200 PLC (Programmable Logical Controller), and host computer. The environment variable detection module sampled all the environmental data, such as temperature, relative humidity, air velocity, NH3 concentration, and CO2 concentration, and sent to a STM32 microcontroller every 2 seconds. The program embedded in STM32 integrated these data into one data packet and sent them to the S7-200 PLC through a serial port. The S7-200 PLC transferred the data to the host computer and simultaneously calculated out control instructions to control environmental regulation executing devices, limited the chamber’s internal environments to a setting range. Besides, the manure pump and LED lights were also controlled by the PLC to realize automatic manure cleaning and lighting timing. The host computer realized dynamic and real-time display and storage of environmental data. The running states of the executing devices were showed on the screen through WinCC monitoring software. Three tests for the pig breeding chamber were conducted, including the smoke test for air flow field, an empty chamber test and a full-loaded chamber test. The smoke test of air flow field verified the airflow pattern, which was simulated by ANSYS previously. Result showed the smoke formed a circle in the main chamber and dissipated all through the chamber without leaving any dead space. The test in the empty chamber verified the function and performance of the control system. The results of the environmental test with animals loaded showed that the control precision of temperature was limited within ±1℃, the relative humidity could be controlled within the pig comfortable range of 50%-80%, the oscillations of NH3 concentration were limited less than ±3×10-6 when the setting value of NH3 concentration was 10×10-6, and the concentration of CO2 could be controlled below 1 540×10-6 basically, which was a standard for animal health. During the full-loaded experiment, which lasted for almost 3 weeks, temperature, relative humidity, NH3 and CO2 concentrations variables inside the chamber were accurately controlled. This shows the pig breeding chamber can provide an effective platform for more precise pig, especially nurseries, breeding experiments under variable environments and potentially helps improve the research method to reveal the relationship between pigs and their environments.

       

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