射频识别技术在畜禽养殖中的应用与展望

随着畜禽规模养殖的发展,高度集约化养殖模式将影响畜禽的健康状况、疫病防控和福利水平。一种无接触、无应激的射频识别（Radio Frequency Identifi cation,RFID）技术应运而生,该技术可以在无损状态下采集畜禽的行为、生理生化和养殖环境指标,从而为评估集约化养殖的效果和影响提供基础数据。文章讨论了三种常见类型的RFID系统在畜禽养殖中的应用,系统地比较了各类系统的优缺点及适宜应用场景,进一步提出RFID在畜禽养殖中的未来应用方向,以期为深化畜禽信息采集的研究提供参考。     

灰铸铁生产技术的一些新进展

对灰铸铁的研究现状和生产中的一些新技术做了评述。重点介绍了高强度薄壁灰铸铁的生产现状以及先进的制造工艺和先进的制造手段在灰铸铁生产中应用所取得的技术成果。     

Effects of a Dual‐Frequency Frequency‐Sweeping Ultrasound Treatment on the Properties and Structure of the Zein Protein

We investigated the effects of a dual‐frequency frequency‐sweeping ultrasound (DFFSU) treatment on the functional properties and structure of zein. The solubility of ultrasound‐treated zein proteins increased slightly but significantly as the treatment time increased. The results showed that the DFFSU treatment had an obvious influence on the mean particle size and the size distribution. A significant (P < 0.05) increase in the size of the particles with respect to time was observed after a sonication time of more than 20 min in zein solutions. Differential scanning calorimetry results showed that sonication alters the thermal behavior of zein. Circular dichroism spectra showed a small increase in the percentage of ordered structure elements within the protein molecule. After 60 min of ultrasonication, the percentage of α‐helix structures increased by 0.9%, whereas the percentage of β‐sheets and β‐turns decreased by 0.5%. Microstructural analyses by scanning electron microscopy showed that several microholes appeared in the zein following ultrasonic pretreatment. Under the conditions investigated in this study, DFFSU treatment was found to affect the studied functional properties of the zein protein. This technology could be used to obtain improved functional properties in some protein samples.     

Effects of Vacuum Mixing,Water Addition,and Mixing Time on the Quality of Fresh Chinese White Noodles and the Optimization of the Mixing Process

In this study, the effects of mixing process parameters (degree of vacuum, water addition, and mixing time under vacuum) on the cooking and sensory quality properties of Chinese white noodles were investigated by using one commercial‐scale noodle production line and one typical commercial wheat flour. Noodle appearance, firmness, elasticity, smoothness, and total quality scores were significantly improved as the degree of vacuum increased from 0 to 0.06 MPa, although lower sensory scores and larger cooking losses occurred when noodles were mixed at 0.08 MPa. Noodles with a water addition of 35% had the highest total score and the highest scores for each sensory factor. As mixing time increased, the sensory score of cooked noodles increased initially and then decreased. With a mixing time of 7 min, the sensory score was the highest and cooking loss was the lowest. The results of response surface methodology indicated that fresh noodle quality was most affected by the water addition, followed by vacuum degree. Added water was a more important source of variation for appearance, firmness, stickiness, smoothness, total score, and cooking loss than degree of vacuum and mixing time, whereas degree of vacuum was the predominant source of variation for color and elasticity. The interactions between the factors had little effect on sensory and cooking properties. The optimal mixing conditions were determined to be as follows: degree of vacuum, 0.06 MPa; added water, 35.6%; and mixing time, 7.25 min. Furthermore, vacuum mixing produced a more even, coherent, and closed microstructure for the sheeted dough than nonvacuum mixing.     

基于高斯自适应拟合的苹果目标分割方法研究

苹果目标的准确识别是苹果机械化采摘需要解决的关键问题之一。为此,基于YUV颜色空间模型,提出了一种结合色差分量与高斯自适应拟合算法的苹果目标分割方法。该方法采用首先将苹果目标由RGB颜色空间转换至YUV颜色空间,并利用色差分量V建立果实与背景分割的高斯分布拟合模型,根据拟合结果自动获取分割阈值,以实现自然场景下苹果目标的准确分割。为了验证文中算法的有效性,利用多幅图像进行了试验并与Otsu自适应阈值分割算法进行了比较。试验结果表明,采用文中算法得到的苹果果实的平均检出率达87.08%,识别率领先Otsu算法9.91%。因此,对于着色度较为均匀的苹果目标,采用高斯自适应拟合方法可以有效提高其识别率。     

供油提前角对甲醇发动机性能及排放的影响

利用在缸内加装电热塞的ZS1115单缸柴油,实现纯甲醇(M100)燃料的扩散燃烧,利用柴油机热效率高的优点,提高甲醇燃料的能量转换效率。通过改变供油提前角,研究不同供油提前角对甲醇发动机性能及排放的影响,并与原单缸柴油机燃用0#柴油进行对比。试验结果表明:供油提前角对甲醇发动机动力性、经济性及排放均有影响。与原机燃用0#柴油相比,燃油消耗率上升,使用成本降低;HC排放量升高,CO和NOX排放量降低。供油提前角提前4°CA时CO排放最少,最低平均减少23.89%;供油提前角退后2°CA时NOX排放最少,最低平均减少94.74%。     

黄淮海地区大豆生产机械化现状与发展趋势

机械化在大豆全程生产中发挥着重要作用。为此,针对黄淮海地区大豆机械化生产现状,分析了目前大豆机械化生产中存在的问题,对大豆产业发展,从"种子处理技术""机械化精密平播免中耕技术""科学施肥,合理使用杀虫剂和除草剂""大力推广大豆机械化收获技术"等方面简要阐述黄淮海地区大豆生产全程机械化的发展趋势。     

宽幅高效离心式双圆盘撒肥机设计与试验

为解决现有水旱田撒肥机械作业效率低、撒肥量调节技术落后、施肥均匀性稳定性差等实际问题,设计了一种同轴驱动的离心式双圆盘撒肥机。介绍了整机结构与工作参数,研究设计了撒肥传动系统、撒肥盘结构、排肥量液压调节装置等,并确定了关键结构和参数,同时进行了试验研究。试验结果显示,推肥板推肥角度-20°~30°可调,撒肥幅宽达到50m,总排肥量稳定性变异系数低于6%,施肥均匀性变异系数低于16%。研究结果表明,撒肥机工作性能稳定、撒肥量可控、抛撒均匀,整机设计满足水旱田宽幅高效撒肥作业要求。     

拖拉机自动转向系统设计及仿真

以TN654拖拉机为平台,基于原车液压转向系统,设计一套比例方向电磁阀组和电控单元(ECU),构建了能响应程序控制的自动转向系统。通过建立阀控缸动力系统数学模型,利用Mat Lab对该系统PD控制性能进行仿真分析。仿真结果显示:系统最大迟滞0.24、1.8s内均能达到平衡点,表明系统具有良好的控制精度和响应性,符合拖拉机自动驾驶作业需求。     

玉米播种机排种监测的试验研究与设计

在对目前玉米播种机排种监测方法的研究基础上,设计了一套新的玉米播种机排种监测的试验方法:将4对光电传感器并排安装在导种管内壁以监测空或堵的情况并进行报警;同时,利用安装在排种盘的中心轴上的空心转速编码器,测出排种盘转速连同试验所得的空穴率,从而得出玉米排种量。试验结果表明:该方案模拟实际空或堵的报警率达100%,排种量检测平均精度98.37%,各项性能指标均达到了实际要求。