scholarly journals The Development of an Intelligent Monitoring System for Agricultural Inputs Basing on DBN-SOFTMAX

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ling Yang ◽  
V. Sarath Babu ◽  
Juan Zou ◽  
Xu Can Cai ◽  
Ting Wu ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Physicochemical Parameters ◽  
Classification Model ◽  
Long Distance ◽  
Intelligent Monitoring ◽  
Softmax Classifier ◽  
Traceability System ◽  
Communication Problems ◽  
Time Acquisition

To solve the problem of unreliability of traceability information in the traceability system, we developed an intelligent monitoring system to realize the real-time online acquisition of physicochemical parameters of the agricultural inputs and to predict the varieties of input products accurately. Firstly, self-developed monitoring equipment was used to realize real-time acquisition, format conversion and pretreatment of the physicochemical parameters of inputs, and real-time communication with the cloud platform server. In this process, LoRa technology was adopted to solve the wireless communication problems between long-distance, low-power, and multinode environments. Secondly, a deep belief network (DBN) model was used to learn unsupervised physicochemical parameters of input products and extract the input features. Finally, these input features were utilized on the softmax classifier to establish the classification model, which could accurately predict the varieties of agricultural inputs. The results showed that when six kinds of pesticides, chemical fertilizers, and other agricultural inputs were predicted through the system, the prediction accuracy could reach 98.5%. Therefore, the system can be used to monitor the varieties of agrarian inputs effectively and use in real-time to ensure the authenticity and accuracy of the traceability information.

scholarly journals Development of Optic-Electric Hybrid Sensors for the Real-Time Intelligent Monitoring of Subway Tunnels

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fu-guang Zhu ◽  
Dong-sheng Xu ◽  
Rui-shan Tan ◽  
Bin Peng ◽  
He Huang ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Deformation Monitoring ◽  
Long Distance ◽  
Intelligent Monitoring ◽  
The Real ◽  
Laboratory Calibration ◽  
Hybrid Sensors ◽  
Subway Tunnels

The settlement and deformation monitoring of subway tunnels had difficult in long-distance and real time measurement. This study proposed an optic-electric hybrid sensor based on infrared laser ranging technology and cable-sensing technology. The working principle, hardware layer, design details, laboratory calibration and field validation were presented and discussed. The optic-electric hybrid sensor implemented the real-time intelligent analysis modulus for the whole system which could analysis the measurement errors and improve the accuracy. The laboratory calibration tests were carried out and the results shown that the hybrid sensors had measurement resolution of 1 mm with the maximum measurement range of 100 m. A remote real-time intelligent monitoring system is established based on the hybrid sensors. The system contains an edge computing module, real-time communication module and warning light signal with three colors. The stability of data acquisition and transmission of the intelligent control monitoring system under long-term conditions was examined. Test results shown that the system was quite stable for the long-term measurement. The whole system was verified in a constructing subway tunnel of Wuhan Metro Line 8, China. According to the field monitoring results, the deformations and the state of health safety of the tunnel was evaluated. The results of this study could provide useful guidance for tunnel deformation monitoring and has great practical value in civil engineering.

scholarly journals Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Wei Chen ◽  
Xiao Hao ◽  
JianRong Lu ◽  
Kui Yan ◽  
Jin Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Real Time ◽  
Monitoring System ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Environment Monitoring ◽  
Long Distance ◽  
Internet Of Things Technology

In order to solve the problems of high labor cost, long detection period, and low degree of information in current water environment monitoring, this paper proposes a lake water environment monitoring system based on LoRa and Internet of Things technology. The system realizes remote collection, data storage, dynamic monitoring, and pollution alarm for the distributed deployment of multisensor node information (water temperature, pH, turbidity, conductivity, and other water quality parameters). Moreover, the system uses STM32L151C8T6 microprocessor and multiple types of water quality sensors to collect water quality parameters in real time, and the data is packaged and sent to the LoRa gateway remotely by LoRa technology. Then, the gateway completes the bridging of LoRa link to IP link and forwards the water quality information to the Alibaba Cloud server. Finally, end users can realize the water quality control of monitored water area by monitoring management platform. The experimental results show that the system has a good performance in terms of real-time data acquisition accuracy, data transmission reliability, and pollution alarm success rate. The average relative errors of water temperature, pH, turbidity, and conductivity are 0.31%, 0.28%, 3.96%, and 0.71%, respectively. In addition, the signal reception strength of the system within 2 km is better than -81 dBm, and the average packet loss rate is only 94%. In short, the system’s high accuracy, high reliability, and long distance characteristics meet the needs of large area water quality monitoring.

scholarly journals Design of Intelligent Monitoring System of Chicken House Environment Based on Single-chip Microcomputer

2018 ◽  
Vol 227 ◽  
pp. 02008
Author(s):  
Qing Du ◽  
Yanhua Miao ◽  
Yunhui Zhang
Keyword(s):  
Carbon Dioxide ◽  
Light Intensity ◽  
Real Time ◽  
Monitoring System ◽  
Carbon Dioxide Concentration ◽  
Environmental Parameters ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Intelligent Monitoring ◽  
Chicken House

In view of the problem that some chicken farms are susceptible to various bacteria and viruses due to poor breeding environment, this paper designs a chicken house environmental intelligent monitoring system based on single-chip microcomputer application to improve the chicken house environment. The system adopts STC89C52 single-chip microcomputer as the main control chip. The sensor collects information on the light intensity, temperature and humidity, and carbon dioxide concentration, and controls the exhaust fan and the illumination lamp, and the environmental parameters can be displayed on the display in real time.

A Design of the Environment Monitoring System

2015 ◽  
Vol 730 ◽  
pp. 195-198
Author(s):  
Chun Yan Xie
Keyword(s):  
Data Collection ◽  
Environmental Monitoring ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Environment Monitoring ◽  
Long Distance ◽  
Distance Control ◽  
Environmental Monitoring System ◽  
Gsm Network

In order to improve the deficiency of environmental monitoring system in real-time, remote monitoring and other aspects, this paper designs an environmental monitoring system based on MCU and GSM network. It designs the struture diagram of the system and analyzes the procedure of data collection and transmission. This system achieves net control and long-distance control of the environmental monitoring.

Highway Toll Free Release Queue Length Quantitative Algorithm Based on 3G/4G Intelligent Monitoring System

2014 ◽  
Vol 513-517 ◽  
pp. 3699-3702
Author(s):  
Hui Min Guo ◽  
Hui Lin Su
Keyword(s):  
Computer Simulation ◽  
Real Time ◽  
Monitoring System ◽  
Queue Length ◽  
Queuing Theory ◽  
Intelligent Monitoring ◽  
Congestion Problems

In this paper, on the basis of queuing theory, a quantitative algorithm of highway toll free release length using 3G/4G intelligent monitoring system is proposed in view of congestion problems of the domestic highway toll. In the algorithm, the severity of real-time congestion is divided into three levels, each level corresponds to different queue length thresholds; The central server of monitoring system can determine the congestion level at present and give the dynamic free release queue length instructions using the algorithm; Computer simulation shows that the algorithm has certain practical guiding significance.

scholarly journals Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Wu ◽  
Liang-Yun Zhao ◽  
Ye-Xiang Jiang ◽  
Wei Li ◽  
Ye-Sheng Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Dual Control ◽  
Intelligent Monitoring ◽  
Safety Risk ◽  
Engineering Construction ◽  
The Real ◽  
Urban Rail

In recent years, the construction scale of urban rail transit project is still in a high growth stage. In addition, the geology and surrounding environment of crossing lines are complex, and all kinds of safety accidents are still in a high incidence stage. Based on the investigation and summary of safety risk events and their causes in urban rail transit engineering construction at home and abroad, this paper fully combines the current national security management policies, introduces the “dual control” concept of safety risk classification and hidden danger investigation, and develops the intelligent monitoring system platform for urban rail transit engineering construction based on advanced technologies such as intelligent Internet of Things, 3D visualization, and artificial intelligence. It realizes the intelligent collection and analysis of engineering field monitoring data, the dynamic early warning management of engineering risk sources, the process embedding “dual control” mechanism of safety risk and hidden danger investigation, the real-time supervision of large equipment operations such as shield and hoisting, and the real-time control of high-risk operation sections such as contact channels. At the same time, the traceability and assessment management of the safety supervision process are strengthened. The parties involved in the project can realize the synchronous sharing of information through the platform and improve the efficiency of on-site safety and quality control.

Design of a New Flexometer for the Safety Monitoring System of Bridge

2014 ◽  
Vol 624 ◽  
pp. 647-650
Author(s):  
Hong Mei Cao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Safety Monitoring ◽  
Shanxi Province ◽  
Monitoring Systems ◽  
Long Distance ◽  
Large Span ◽  
State Economy ◽  
Safety Monitoring System ◽  
The World

Large span bridges are very important infrastructure of the nations. The enormous investment and significance in state economy make them get more and more recognition. At present, the technology of the safety monitoring of bridges is becoming a hotspot in both academic and engineering field. Now, safety monitoring systems of the structures have been applied to many large bridges in the world. Among all these parameters which can indicate the safety status of bridges, the deflection is indispensable. Although there are lots of sensors now used to measure the degrees of the deflection, it is still very scarce that the sensors can be made for long-distance, real-time and automatic online completely. The photo-electricity and liquid level deflection sensors (PLLD) introduced here are cheaper and of better-automaticity and higher precision and can work online continuously without contact. This paper will show the structure, performance and theory of our new sensor based on ARM7 in detail. In the end, a concrete application instance in XiaoGou bridge of ShanXi province will be given.

scholarly journals Design and Test of Intelligent Inspection and Monitoring System for Cotton Bale Storage based on RFID

2021 ◽  
Author(s):  
Weipeng Zhao ◽  
Bo Zhao ◽  
Qizhi Yang ◽  
Liming Zhou ◽  
Hanlu Jiang ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Relative Error ◽  
Classification Model ◽  
Management Personnel ◽  
Environment Temperature ◽  
Temperature And Humidity ◽  
Time Requirements ◽  
Cotton Bale ◽  
Artificial Neural Network Ann

Abstract In order to solve the patrol inspection problems in cotton storage and the need for environmental monitoring in the modern cotton bale warehousing process, RFID positioning technology, wireless temperature and humidity real-time monitoring technology and handheld terminal intelligent inspection technology are used to design and develop RFID-based cotton bale intelligence Inspection and intelligent temperature and humidity monitoring system. The artificial neural network (ANN) method performs Gaussian filter processing on the system monitoring data to establish an accurate RSSI and label position classification model. The system finally realizes the functions of locating cotton bales in storage, collecting bale information, and real-time measurement and collection of temperature and humidity parameters in the cotton bale warehouse. The test results show that the relative error of RFID cotton bale intelligent inspection and monitoring system positioning and monitoring does not exceed 6.7%, effectively improving the work efficiency of inspectors and the safety of cotton bale storage. The relative error of temperature is less than 8%, and the relative error of humidity is less than 7%. It can display the storage environment temperature in real time and meet the real-time requirements. It improves the effective positioning and inspection of the cotton stack by management personnel, prevents the loss of cotton bale and reduces the probability of cotton stack deterioration.

Study on the Intelligent Monitoring System for the Industrialized Producing Environment of Edible Fungus Based on the Internet of Things

2013 ◽  
Vol 427-429 ◽  
pp. 1028-1031
Author(s):  
Ling Yun Zhang ◽  
Hua Zhang ◽  
Peng Fei Zhang ◽  
Qiu Hong Yuan
Keyword(s):  
Environmental Factors ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Text Messages ◽  
Added Value ◽  
The Internet ◽  
Intelligent Monitoring ◽  
Edible Fungus ◽  
The Internet Of Things

The edible fungus industry has relatively high output rate and high added value. In the production of edible fungus, the environmental factors have great impacts. This paper studies the intelligent monitoring system for producing environment of the factory-farmed edible fungus based on the internet of things and aiming at online real-time management. The monitoring system can realize real-time surveillance and visual operation during production by dynamically regulating the environmental factors needed for growing edible fungus and early warning of the environmental parameters fluctuation with traceable history records at any time. When parameters like temperature and humidity are beyond reasonable range, warning will be sent via text messages and equipments such as air conditioners and warming devices will be automatically adjusted for on and off so as to raise management level, increase the output, improve the quality and lower the risks.

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