健康生活视角下南京科巷片区街巷空间微更新探索

南京科巷片区曾经是一种合理、宜居的城市公共空间形态,然而随着外部社会环境条件的变化尤其是2020年新型冠状病毒肺炎疫情的冲击,使得科巷产生许多问题与矛盾,并在特殊时期产生了健康管理风险.选取南京科巷片区6条街巷空间为研究对象,从街巷空间体系、文化体系以及使用人群3个角度进行调研分析,梳理现状存在的问题,从健康生活的视角...     

智慧养猪中猪只个体识别技术的选择

智慧养猪已成为生猪产业发展的新趋势,其核心主要聚焦于智能环控、智能饲喂和对猪群的视频监控等技术的应用.大数据采集是实现智能化的前提,因此,通过射频识别(RFID)技术建立猪只大数据是实现智慧养猪的基础.通过正确的猪只个体识别技术的选型,在不同生命周期给猪只选配合适的电子耳标,给猪只建立精准的身份证明.在不同阶段的数据采...     

长春市精明增长测评研究

“精明增长”是由西方国家针对城市蔓延提出的一种全新的城市发展理念,它倡导高效、集约、紧凑的城市发展模式,对于解决我国城市化进程中面临的诸多问题具有现实意义.该研究从城市增长的数量、强度、效益、循环和建设水平5个方面选取了8个指标建立城市精明增长现状测评体系,对长春市的精明增长现状进行测评.结果表明,长春市城市扩展速度较快,土地利用的集约度与强度均有待提高,但就城市经济发展、道路和公共交通现状来说,符合精明增长的发展方向.     

智能喷水灭火装置不同布置方式技术分析

在考虑喷水强度和喷水均匀性的基础上,文章针对智能喷水灭火装置的特性并综合国内一些工程实践经验,对智能喷水灭火装置的主要几种布置形式做出了技术分析比较,指出对于狭长型建筑物应采取单排布置形式,在多行列布置时宜被首选应用.     

朱砂根穴盆苗育苗及移植技术研究

朱砂根苗木生产是朱砂根产业化的基础,通过选择不同类型的穴盆进行育苗试验,比较不同类型穴盆育苗对朱砂根出苗率、存活率、苗木叶片的影响;通过对穴盆苗不同时期的移植试验,选择穴盆苗最佳移植时间。     

Landscape irrigation scheduling efficiency and adequacy by various control technologies

Automated residential irrigation systems tend to result in higher water use than non-automated systems. Increasing the scheduling efficiency of an automated irrigation system provides the opportunity to conserve water resources while maintaining good landscape quality. Control technologies available for reducing over-irrigation include evapotranspiration (ET) based controllers, soil moisture sensor (SMS) controllers, and rain sensors (RS). The purpose of this research was to evaluate the capability of these control technologies to schedule irrigation compared to a soil water balance model based on the Irrigation Association (IA) Smart Water Application Technologies (SWAT) testing protocol. Irrigation adequacy and scheduling efficiency were calculated in 30-day running totals to determine the amount of over- or under-irrigation for each control technology based on the IA SWAT testing protocol. A time-based treatment with irrigation 2 days/week and no rain sensor (NRS) was established as a comparison. In general, the irrigation adequacy ratings (measure of under-irrigation) for the treatments were higher during the fall months of testing than the spring months due to lower ET resulting in lower irrigation demand. Scheduling efficiency values (measure of over-irrigation) decreased for all treatments when rainfall increased. During the rainy period of this testing, total rainfall was almost double reference evapotranspiration (ET_o) while in the remaining three testing periods the opposite was true. The 30-day irrigation adequacy values, considering all treatments, varied during the testing periods by 0-68 percentile points. Looking at only one 30-day testing period, as is done in the IA SWAT testing protocol, will not fully capture the performance of an irrigation controller. Scheduling efficiency alone was not a good indicator of controller performance. The amount of water applied and the timing of application were both important to maintaining acceptable turfgrass quality and receiving good irrigation adequacy and scheduling efficiency scores.     

智慧养殖管理模式在养猪生产中的应用

随着现代科技的发展,物联网、区块链、人工智能、云计算、5G通信技术已经融入到人们的生活中,智能化设备将逐步解放劳动力资源,代替人类开展各项智慧化的复杂工作.在社会经济大发展和国家乡村振兴战略大背景下,为了更好地适应智慧畜牧业的发展趋势,文章以养猪生产为例,主要从现代化技术应用方面综述了国内外智慧畜牧的发展过程,描述了智...     

基于 Web 的智能客厅菜园管理系统设计与实现

综合运用传感器技术、网络通信技术和构件开发技术,研制开发集数据采集、远程控制、数据挖掘应用等多种功能于一体的基于Web的智能客厅菜园管理系统,建立客厅菜园的数据采集体系与远程控制体系,研究提出了基于数据应用的客厅菜园种植策略。对于提高客厅菜园的智能化控制水平具有重要意义。     

田间作物信息监测技术的研究现状与展望

利用田间监测技术采集作物信息,可以实时获取田间作物的生长情况,并做出相应决策,对提高作物的产量和品质有重要作用。针对依赖于人工采样测量的传统作物田间监测方法存在效率低下、主观性强、特征单一等缺点,田间作物的快速监测、信息获取及分析技术成为了当下的研究热点。本文从采集目标、监测平台以及不同数据(信息)分析方法 3个方面分析了国内外田间作物监测技术的研究现状,总结了目前我国田间作物监测中存在的问题,并对今后在监测技术创新、信息解析技术、数据(信息)标准化与共享化,以及基础设施及推广方面的发展提出了建议,以期为我国田间作物监测技术的创新和产业发展提供参考。     

Real-time spectral classification of compression wood inPicea abies

Compression wood is formed by the living tree to compensate for external loads. It creates wood fibers with properties undesirable in sawn products. Automatic detection of compression wood can lead to production advantages. A wood surface was scanned with a spectrometer, and compression wood was detected by analyzing the spectral composition of light reflected from the wood surface within the visible spectrum. Linear prediction models for compression wood in Norway spruce (Picea abies) were produced using multivariate analysis and regression methods. The resulting prediction coefficients were implemented in a scanning system using the MAPP2200 smart image sensor combined with an imaging spectrograph. This scanning system is capable of making a pixelwise classification of a wood surface in real time. Classification of one spruce plank was compared with analysis by scanning electron microscopy, showing that the automatic classification was correct in 11 of 14 cases.