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A distributed pavement monitoring system based on Internet of Things

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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 *** order to maintain pavement before the damage and improve the service quality,it is necessary to develop an intelligent and durable pavement information monitoring ***,the pavement dynamic response monitoring is highly costly,easily obsolete and statistically *** emergence of the Internet of Things(IoT)technology promises to change *** 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 ***,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 ***,data preprocessing,wireless communication,time synchronization,data processing and visualization,which represent the key to an effective system,are tested and *** prototype wireless pavement vibration monitoring system provides a viable scheme for upgrading the IoT system and its application in the road *** 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

Design and experiment on intelligent fuzzy monitoring system for corn planters

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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 *** 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 *** system facilitates automatic control of the spacing adjustment and the status monitor for the fertilizer tank,seed tank,and seeding *** 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 *** control rate is output to the fuzzy controller through the digital output module of the CAN *** 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 *** 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

Settlement monitoring system of pile-group foundation

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Journal of Central South University 2011年第6期18卷 2122-2130页

作者：陈志坚张宁宁张雄文 School of Earth Science and Engineering Hohai University Jiangsu Transportation Research Institute Co. Ltd.

In order to realize information construction on settlement of pile-group foundation of Sutong Bridge, the monitoring instruments of high-precision micro-pressure sensor and hydrostatic leveling and settlement profiler were integrated synthetically. A set of practical multi-scale monitoring system on settlement of super-large pile-group foundation in deep water was put forward. The reliable settlement results are obtained by means of multi-sensor data fusion. Finite element model of pile-group foundation is established. By analysis of finite element simulated calculation of pile-group foundation, rules of settlement and uneven settlement obtained by monitoring and calculation results are coincident and the absolute error of settlement between them is 4.7 mm. The research shows that it is reasonable and feasible to monitor settlement of pile-group foundation with the system, and it can provide a method for the same type pile-group foundation in deep water.

关键词： pile-group foundation settlement monitoring system multi-sensor data fusion

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

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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 *** 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 *** is mainly composed of STM32 processor,microphone and signal-conditioning *** 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 *** extraction model was developed to determine operation status and primary frequency of the pump based on voice signal ***-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 *** 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

Design and evaluation of a maize monitoring system for precision planting

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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 *** 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 *** 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 *** decrease the average response time,a distributed information communication structure was *** 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 *** 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)=*** 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

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

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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 *** system has employed multiple sensors terminal to real-time acqui-sition,including air and water temperatures,dissolved oxygen *** protocol is suitable for sending small data and the 4G was employed to collect data and send to the cloud *** is used to develop background applications,to access cloud platforms and local data *** on the collection and processing of environmental data and cloud service platform,the mobile application program client and remote login desktop have been *** has been implemented and tested in Tongzhou,Beijing for 3 months in *** results showed the proposed monitoring system stability for overall operation and accuracy data transmission,which can support the actual hydroponics and aquacul-ture production *** 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

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

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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 ***,machine vision and automatic weighing were employed to monitor the color and moisture content changes of jujube slices in ***,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 ***,the upper computer monitoring software was integrated and designed based on LABVIEW virtual instrument,and the real-time monitoring system was tested and *** 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,*** 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,*** 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

Research on an active and continuous monitoring system for human respiratory system

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High Technology Letters 2006年第1期12卷 68-71页

作者：于莲芝 Yan Guozheng Zhang Wenqiang Wang Xiangrui School of Electronics ＆ Information Shanghai Jiaotong University Shanghai 200030 P.R. China Department of Anesthesiology Renji Hospital Shanghai Second Medical University Shanghai 200001 P.R. China

Continuous and dynamic measurements of human respiratory parameters are very important for vital diseases of respiratory system during mechanical ventilation. This paper analyzed the structure and mechanical properties of the human respiratory system, and designed an active intervening monitoring micro system for it. The mobile mechanism of the micro system is soft and earthworm-like movement actuated by pneumatic rubber actuator, the measurement and therapy unit of the system is an extensible mechanism with sensors in the front. The micro monitoring system can move in respiratory tract and measure the respiratory parameters in bronchium continuously. Experiments had been done in swine＇s respiratory tract, the results proved that the micro robot system could measure the respiratory parameters in real-time successfully and its movement was smith in swine＇s respiratory tract.

关键词： respiratory system monitoring system mechanical ventilation measurement

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

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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 *** this monitoring system,firstly,the sensor was designed based on the photoelectric ***,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 ***,the scattering angle of the highlighting light-emitting diodes was considered to calculate the spacing of transmitters to realize non-blind area *** but not least,the peak-detection algorithm was utilized to increase the detection ***,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 ***,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