Research and Implementation of Muck Truck Regulatory System

2013 ◽  
Vol 475-476 ◽  
pp. 719-722
Author(s):  
Li Zhou
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Regulatory System ◽  
The Internet ◽  
Construction Site ◽  
3G Networks ◽  
The Internet Of Things ◽  
Embedded Intelligence

To solve site muck truck regulation difficulty, a muck truck monitoring system is designed and implemented based on 3G networks and the Internet of Things. The system consisted of Hi3515 processors embedded intelligence analyzer, RFID, grating and camera. With the data send from the construction site, a B/S remote regulatory website is built to provide real-time monitoring, evidence preservation, data analysis and data summary.

scholarly journals Implementation of The Internet of Things for Monitoring The Company's Electrical Power Consumption

2021 ◽  
Vol 2 (1) ◽  
pp. 16-22
Author(s):  
Riklan Kango ◽  
Suhaedi Suhaedi ◽  
Fadli Awal Hasanuddin
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Real Time ◽  
Monitoring System ◽  
Electricity Consumption ◽  
The Internet ◽  
Voltage Measurement ◽  
Monitoring Method ◽  
Internet Of Things Technology ◽  
The Internet Of Things

This research aims to design an electric panel monitoring system using the Internet of Things technology in company buildings so that consumers can monitor real-time electricity consumption. The energy consumption monitoring method that we propose uses PM2100 by implementing a real-time monitoring function of the power consumption of a 3-phase electric panel. The monitoring system implementation results show that the value is very close to measuring the digital multimeter measuring instrument. The monitoring system produces a current measurement accuracy of 97.38% with an error of 2.62%, while the 3-phase voltage measurement error is 0.616%. This system design helps companies obtain information faster to be considered data to improve efficiency in the Company.

Design of Compaction Operation Monitoring System for Intelligent Vibratory Roller Based on Internet of Things

2021 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Tao Li ◽  
Gangfeng Wang ◽  
Yunxi Zhang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Prototype System ◽  
Hardware System ◽  
Sensor Module ◽  
Working Parameters ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In recent years, an intelligent vibratory roller with adjustable mode has become the leading direction for the development of compaction equipment that can obtain the state of the pressed material during the compaction operation and then control the working parameters and the excitation mode of the whole machine according to the condition of the pressed material. The intelligent vibratory roller can better meet today’s requirements for compaction. This paper proposes a compaction operation monitoring system for an intelligent vibratory roller based on the Internet of Things. Firstly, a hardware system for real-time compaction operation monitoring was established, including the selection of a sensor module and signal conditioning module. Secondly, a method for real-time compaction monitoring data evaluation and analysis of compaction was proposed and a detailed analysis process of the compaction data was designed. Finally, the compaction operation monitoring prototype system based on the Internet of Things technology was designed and constructed.

The Internet of Things: Real-Time Monitoring System for Production Machine

2021 ◽  
Author(s):  
Masmur Tarigan ◽  
Yaya Heryadi ◽  
Lukas ◽  
Antoni Wibowo ◽  
Wayan Suparta
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Real Time Monitoring ◽  
The Internet Of Things

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.

scholarly journals Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jie Chang ◽  
Xiaojun Zuo ◽  
Botao Hou ◽  
Lipeng Shi ◽  
Guanghua Zhang
Keyword(s):  
Internet Of Things ◽  
Correlation Analysis ◽  
Real Time ◽  
Monitoring System ◽  
The Internet ◽  
Iot Security ◽  
Security Monitoring ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
The Internet Of Things

This paper analyzes the current real-time monitoring system based on grey-related IoT security sensors for the detection of risk factors in the production environment of the Internet of Things and proposes a design plan for the Internet of Things environment monitoring based on the grey-related Internet of Things security sensor network, and according to the reliability guarantee mechanism of the system, a three-dimensional uniform IoT node deployment method suitable for IoT security monitoring is proposed. Based on the grey correlation analysis, it can provide a quantitative measurement analysis for the development and change state of a system, which is very suitable for the analysis of dynamic operating systems. As a real-time dynamic system of the Internet of Things, the use of grey correlation method to analyze its network security status has good operability and practical value. According to the multisource information processing technology, the monitoring data are preprocessed by dynamic limiting filtering, and then the data are fused at the data level with the optimal weighting algorithm. Through the use of grey correlation analysis to quantify the relative impact of cyberattacks on the network within a certain period of time, the quantitative assessment of the security environment and status of the entire network is realized. Finally, the characteristics of grey relational analysis and rough set theory attribute reduction are used to form the basis of grey correlation decision-level fusion algorithm, to achieve effective processing of the data of the Internet of Things security monitoring system.

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