检索结果-南通市图书馆

Investigation on environment Monitoring system for a combination of hydroponics and aquaculture in greenhouse

Information Processing in Agriculture 2022年第1期9卷 123-134页

作者： Shanhong Zhang Yu Guo Shuai Li Zhixin Ke Huajian Zhao Jinqi Yang Yang Wang Daoliang Li Liang Wang Wenhua Yang Zhili Zhang National Innovation Center for Digital Fishery China Agricultural UniversityBeijing 100083China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Beijing Zhong Nong Tianlu Micro-nano Bubble Water Science and Technology Co. LtdChina

This work develops a distributed environmental Monitoring system for the combination of hydroponics and aquaculture based on the internet of things technology,which mainly includes the information perception layer,the information transmission layer and the sys-tem architecture.The system has employed multiple sensors terminal to real-time acqui-sition,including air and water temperatures,dissolved oxygen etc.LoRa protocol is suitable for sending small data and the 4G was employed to collect data and send to the cloud plat-form.Java is used to develop background applications,to access cloud platforms and local data processing.Based on the collection and processing of environmental data and cloud service platform,the mobile application program client and remote login desktop have been developed.It has been implemented and tested in Tongzhou,Beijing for 3 months in 2020.The results showed the proposed Monitoring system stability for overall operation and accuracy data transmission,which can support the actual hydroponics and aquacul-ture production management.After analysis of monitoring data collected from the devel-oped Monitoring system,indoor air and water temperature have the obvious correlation with atmospheric pressure(0.7 and 0.9)and outdoor temperature(1.0 and 0.9),respectively.

关键词： Monitoring system Hydroponics Aquaculture Greenhouse Internet of things Greenhouse environment

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A distributed pavement Monitoring system based on Internet of Things

引用

Journal of Traffic and Transportation Engineering(English Edition) 2022年第2期9卷 305-317页

作者： Zhoujing Ye Ya Wei Jianfeng Li Guannan Yan Linbing Wang National Center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China Department of Civil Engineering Tsinghua UniversityBeijing 100084China Center for Smart and Green Civil systems Virginia TechBlacksburgVA 24061USA Joint USTB-Virginia Tech Lab on Multifunctional Materials University of Science and Technology BeijingBeijing 100083China Virginia Tech BlacksburgVA 24061USA

Pavement is an important part of transportation infrastructure.In order to maintain pavement before the damage and improve the service quality,it is necessary to develop an intelligent and durable pavement information Monitoring system.However,the pavement dynamic response monitoring is highly costly,easily obsolete and statistically redundant.The emergence of the Internet of Things(IoT)technology promises to change that.In this paper,an architecture of a distributed road IoT Monitoring system is proposed,which has an acquisition layer,a preprocessing layer,a processing layer,an interaction layer,an energy layer and a network layer.Then,a prototype wireless pavement vibration Monitoring system based on the IoT is developed,which consists of a number of wireless sensing nodes,a gateway,a remote server and a browser.Finally,data preprocessing,wireless communication,time synchronization,data processing and visualization,which represent the key to an effective system,are tested and discussed.The prototype wireless pavement vibration Monitoring system provides a viable scheme for upgrading the IoT system and its application in the road infrastructures.In the future,any smart road will have an IoT wireless Monitoring system to monitor the traffic,environment,and pavement information,which help enable traffic guidance,signal control,danger warning,scientific maintenance decision-making.

关键词： Monitoring system Internet of things Pavement vibration Wireless communication Traffic information

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Non-intrusive flowrate measurement and Monitoring system of plant-protection unmanned aircraft systems based on pump voice analysis

引用

International Journal of Agricultural and Biological Engineering 2021年第3期14卷 58-65页

作者： Yang Xu Xinyu Xue Zhu Sun Wei Gu Nanjing Institute for AgriculturalMechanization Ministry of Agriculture and Rural AffairsNanjing 210014China Sino-USA Pesticide Application Technology Cooperative Laboratory Nanjing 210014China

Application of Unmanned Aircraft systems(UAS)for plant protection is becoming a common tool in agricultural field management.To avoid shortcomings of intrusive flowrate sensors including poor measurement accuracy and poor anti-vibration ability,a non-intrusive flowrate measurement and Monitoring system of plant-protection UAS was developed based on pump voice signal analysis.It is mainly composed of STM32 processor,microphone and signal-conditioning circuit.By collecting and analyzing the voice signal of the pump in the UAS,the Monitoring system will output the real-time values of spraying flowrate and amount.An extraction model was developed to determine operation status and primary frequency of the pump based on voice signal analysis.Real-time spray flowrate can be determined from the real-time extracted primary frequency and the fitted correlation formulas of spraying flowrate under outlet area and pump primary frequency.The flowrate correlation equation of one certain pump from 4-rotor UAS 3WQFTX-1011S was obtained,the max deviation rate of fitted spray flowrate was only 2.8%.In primary frequency extraction test,the error rate of primary frequency extraction was less than 1%.In the 4-rotor UAS flight tests:the max deviation of operating starting/end point was only 0.7 s and the max deviation of extracted total operating time was only 0.8 s;the deviation of extracted spray flowrate was less than 2%,and the max deviation rate of total spray amount was 3.2%.This research could be used as a guidance for plant-protection UAS non-intrusive flowrate measurement and monitoring.

关键词： plant protection UAS voice signal analysis non-intrusive flowrate measurement Monitoring system

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Design and experiment of seeding performance Monitoring system for suction corn planter

引用

International Journal of Agricultural and Biological Engineering 2019年第4期12卷 97-103页

作者： Kun Liu Shujuan Yi College of Electrical and Information Heilongjiang Bayi Agriculture UniversityDaqing163319China College of Engineering Heilongjiang Bayi Agriculture UniversityDaqing163319China

To realize the highly precise and real-time monitoring of seeding performance in suction-type corn planter,and intelligent detection technology was presented.In this Monitoring system,firstly,the sensor was designed based on the photoelectric technology.Meanwhile,in order to reduce the influence of dust in the field on the photoelectric sensor,the installation position of the sensor was changed to the space under the seed plate instead of the traditional position,that is,the middle of the seed tube.Secondly,the scattering angle of the highlighting light-emitting diodes was considered to calculate the spacing of transmitters to realize non-blind area detection.Last but not least,the peak-detection algorithm was utilized to increase the detection accuracy.Therefore,after a lot of the indoor and field experiments,the analysis shows that the detection accuracy of seeding quantity can reach 98.45%,alarm delay time under abnormal circumstances is not more than 2 s.Obviously,this system can meet the requirements of seeding completely and improve its reliability greatly.

关键词： seeding performance Monitoring system peak-detection algorithm photoelectric detection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Development of a Monitoring system for grain loss of paddy rice based on a decision tree algorithm

引用

International Journal of Agricultural and Biological Engineering 2021年第1期14卷 224-229页

作者： Yi Lian Jin Chen Zhuohuai Guan Jie Song College of Mechanical Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina Synergistic Innovation Center of Jiangsu Modern Agricultural Equipment and Technology Zhenjiang 212013JiangsuChina

China has the world’s largest planting area of paddy rice,but large quantities of paddy rice fall to the ground and are lost during harvesting with a combine harvester.Reducing grain loss is an effective way to increase production and revenue.In this study,a Monitoring system was developed to monitor the grain loss of the paddy rice and this approach was tested on the test bench for verifying the precision.The development of the Monitoring system for grain loss included two stages:the first stage was to collect impact signals using a piezoelectric film,extract the four features of Root Mean Square,Peak number,Frequency and Amplitude(fundamental component),and identify the kernel impact signals using the J48(C4.5)Decision Tree algorithm.In the second stage,the precision of the Monitoring system was tested for the paddy rice at three different moisture contents(10.4%,19.6%,and 30.4%)and five different grain/impurity ratios(1/0.5,1/1,1/1.5,1/2,and 1/2.5).According to the results,the highest monitoring accuracy was 99.3%(moisture content 30.8%and grain/impurity ratio 1/2.5),the average accuracy of the monitoring tests was 92.6%,and monitoring of grain/impurity ratios between 1/1 and 1/1.5(>95.4%)had higher accuracy than monitoring the other grain/impurity ratios.monitoring accuracy decreased as impurities increased.The lowest accuracy for grain loss monitoring was obtained when the grain/impurity ratio was 1/2.5,with monitoring accuracies of 88.2%,75.7%and 78.8%at moisture contents of 10.4%,19.6%and 30.4%.

关键词： Monitoring system combine harvester paddy rice grain loss sensor data mining decision tree development

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Design and evaluation of a maize Monitoring system for precision planting

引用

International Journal of Agricultural and Biological Engineering 2018年第4期11卷 186-192页

作者： Yanxin Yin Liping Chen Zhijun Meng Bin Li Changhai Luo Weiqiang Fu Hebo Mei Wuchang Qin Beijing Research Center of Intelligent Equipment for Agriculture Beijing Academy of Agriculture and Forestry SciencesBeijing 100089China National Research Center of Intelligent Equipment for Agriculture Beijing 100089China Beijing Key Laboratory of Intelligent Equipment Technology for Agriculture Beijing 10089China

To increase the accuracy and real-time performance of on-line assessment of maize planting,a CAN bus based maize Monitoring system for precision planting was designed and tested both in laboratory and field.The system was mainly comprised of:(a)seeding rate sensors based on opposite-type infrared photoelectric cell for counting the dropping seeds;(b)a decimeter GPS receiver for acquiring planter position and operation speed;(c)a vehicle monitoring terminal based on ARM Cotex-m4 core chip to acquire and process the whole-system data;(d)a touchscreen monitor to display the planter performance for the operator;and(e)a buzzer alarm to sound a warning when skip and double seeding happened.Taking the applicability,dependability and feasibility of the Monitoring system into consideration,the opposite-type infrared photoelectric sensors were selected and their deployment strategies in the 6-port seed tube were analyzed.To decrease the average response time,a distributed information communication structure was adopted.In this information communication mode,collectors were designed for each individual sensor and communicated with sensors through two-wire CAN bus.A sensor together with the designed collector is called a sensor node,and each of them worked individually and took the responsibility for acquiring,processing,and transiting the on-going information.Laboratory test results showed that the random error distribution was approximately normal,and by liner analysis,the system observed value and the true value had as a liner relationship with coefficient of determination R^(2)=0.9991.Series of field tests showed that the seeding rate maximum relative error of the 6-port seed tube was 2.92%,and the maximum root mean square error(RMSE)was about 1.64%.The Monitoring system,including sensor nodes,vehicle monitoring terminal and a touch-screen monitor,was proved to be dependable and stable with more than 14 d of continuous experiments in field.

关键词： maize precision planting Monitoring system seeding rate on-line assessment CAN bus

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Design and experiment on intelligent fuzzy Monitoring system for corn planters

引用

International Journal of Agricultural and Biological Engineering 2013年第3期6卷 11-18页

作者： Du Ruicheng Gong Bingcai Liu Ningning Wang Chenchen Yang Zidong Ma Mingjian School of Agriculture and Food Engineering Shandong University of TechnologyZibo 255049ShandongChina

When sowing summer corn without tillage,it is necessary to ensure that the furrow opener is free from straw congestion and that the spacing of the sowing can be adjusted according to the breeds of corn and the preset seeding rate per acre.On the basis of the structural features of newly developed no-tillage corn fertilizers,an intelligent fuzzy Monitoring system for corn planters was developed in this study.The system facilitates automatic control of the spacing adjustment and the status monitor for the fertilizer tank,seed tank,and seeding orifice.According to the preset number of rows,line spacing,number of plants per acre,and seed germination rate,the control rate can be calculated through designing in surveillance software.The control rate is output to the fuzzy controller through the digital output module of the CAN bus.Fuzzy control is applied to the DC motor for stepless adjustment of the spacing.A system for video surveillance of the working status of a planter is developed for displaying a real-time video image of the planter operation and achieving an anti-congestion status monitoring of a no-tillage planting operation in a dusty environment.Through field trials,the detection accuracy was 91.4%.The seed-clogging fault-alarm accuracy was 96.0%.The entire system remained stable and reliable.

关键词： corn planters stepless adjustment plant spacing fuzzy control Monitoring system fault alarm

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A low power cyclic ADC design for a wireless Monitoring system for orthopedic implants

引用

Journal of Semiconductors 2009年第8期30卷 147-152页

作者：陈怡李福乐陈虹张春王志华 Tsinghua National Laboratory for Information Science and Technology Institute of MicroelectronicsTsinghua University

This paper presents a low power cyclic analog-to-digital convertor （ADC） design for a wireless Monitoring system for orthopedic implants. A two-stage cyclic structure including a single to differential converter, two multiplying DAC functional blocks （MDACs） and some comparators is adopted, which brings moderate speed and moderate resolution with low power consumption. The MDAC is implemented with the common switched capacitor method. The 1.5-bit stage greatly simplifies the design of the comparator. The operational amplifier is carefully op- timized both in schematic and layout for low power and offset. The prototype chip has been fabricated in a United Microelectronics Corporation （UMC） 0.18-μm 1P6M CMOS process. The core of the ADC occupies only 0.12 mm2. With a 304.7-Hz input and 4-kHz sampling rate, the measured peak SNDR and SFDR are 47.1 dB and 57.8 dBc respectively and its DNL and INL are 0.27 LSB and 0.3 LSB, respectively. The power consumption of the ADC is only 12.5 μW in normal working mode and less than 150 nW in sleep mode.

关键词： Monitoring system low power consumption small size analog to digital convertor single to differential convertor

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Real-time Monitoring system for quality monitoring of jujube slice during drying process

引用

International Journal of Agricultural and Biological Engineering 2022年第3期15卷 234-241页

作者： Yuxue Cao Xuedong Yao Yongzhen Zang Yubao Niu Hongwei Xiao Huan Liu Rongguang Zhu Xia Zheng Qiang Wang Xiangnan Zhang Shiyu Wei College of Mechanical and Electrical Engineering Shihezi UniversityShihezi 832000XinjiangChina Key Laboratory of Northwest Agricultural Equipment Ministry of Agriculture and Rural AffairsShihezi 832000XinjiangChina Key Laboratory of Modern Agricultural Machinery Corps Shihezi 832000XinjiangChina College of Engineering China Agricultural UniversityBeijing 100083China College of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China

The real-time monitoring and prediction system for quality attributes of jujube slices during the drying process was designed to solve the problem of destructive and inconvenient of the traditional quality detection method and realize quality online monitoring.Firstly,machine vision and automatic weighing were employed to monitor the color and moisture content changes of jujube slices in real-time.Secondly,correlation models between color parameter(a^(*)value)and nutritional quality attributes(vitamin C,reducing sugar)were established to predict vitamin C and reducing sugar content of jujube slices during the drying process.Finally,the upper computer monitoring software was integrated and designed based on LABVIEW virtual instrument,and the real-time Monitoring system was tested and validated.Results showed that:the changing trends of color(L^(*),a^(*),and b^(*)values)monitored by the system were basically the same as the results detected by color difference meter,and the average errors of L^(*),a^(*),and b^(*)values were 0.93,0.52,and 0.73,respectively.The average relative error of moisture content between the system monitoring and manual static detection was 0.18%.The average error of vitamin C and reducing sugar content between the system prediction and manual detection were 50 mg/100 g in dry basis and 0.71g/100 g in dry basis,respectively.The current work can provide a useful reference for real-time monitoring of quality attributes of fruits and vegetables during the drying process.

关键词： jujube slice quality attributes real-time Monitoring system drying process

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Application of the thermoelectric MEMS microwave power sensor in a power radiation Monitoring system

引用

Journal of Semiconductors 2016年第8期37卷 60-62页

作者：高波杨晶蒋思王德波 Nanjing University of Posts and Telecommunications Nanjing 210003 China

A power radiation Monitoring system based on thermoelectric MEMS microwave power sensors is studied. This Monitoring system consists of three modules： a data acquisition module, a data processing and display module, and a data sharing module. It can detect the power radiation in the environment and the date information can be processed and shared. The measured results show that the thermoelectric MEMS microwave power sensor and the power radiation Monitoring system both have a relatively good linearity. The sensitivity of the thermoelectric MEMS microwave power sensor is about 0.101 mV/mW, and the sensitivity of the Monitoring system is about 0.038 V/mW. The voltage gain of the Monitoring system is about 380 times, which is relatively consistent with the theoretical value. In addition, the low-frequency and low-power module in the Monitoring system is adopted in order to reduce the electromagnetic pollution and the power consumption, and this work will extend the application of the thermoelectric MEMS microwave power sensor in more areas.

关键词： thermoelectric MEMS power sensor power radiation Monitoring system

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：