Design and Realization of Intelligent Public-Transport Flow Monitoring System Based on Big Data

2017 ◽  
Author(s):  
Mingxiang Shi
Keyword(s):  
Big Data ◽  
Monitoring System ◽  
Public Transport ◽  
Flow Monitoring ◽  
Transport Flow

Design of an IoT-based water flow monitoring system

2020 ◽  
Author(s):  
Zill Ullah Khan ◽  
M Umair Anwar ◽  
Sabah Pirani ◽  
Faisal Lalani ◽  
Babatunde Adegoke ◽  
...  
Keyword(s):  
Monitoring System ◽  
Water Flow ◽  
Flow Monitoring

scholarly journals A study on the development of a light scattering particulate matter sensor and monitoring system

2020 ◽  
Vol 17 (3) ◽  
pp. 867-890
Author(s):  
Jun-Hee Choi ◽  
Hyun-Sug Cho
Keyword(s):  
Big Data ◽  
Particulate Matter ◽  
Light Scattering ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Gravimetric Method ◽  
Correction Method ◽  
Measurement Methods ◽  
Linear Correction

The gravimetric method, which is mainly used among particulate matter (PM) measurement methods, includes the disadvantages that it cannot measure PM in real time and it requires expensive equipment. To overcome these disadvantages, we have developed a light scattering type PM sensor that can be manufactured at low cost and can measure PM in real time. We have built a big data system that can systematically store and analyze the data collected through the developed sensor, as well as an environment where PM states can be monitored mobile in real time using such data. In addition, additional studies were conducted to analyze and correct the collected big data to overcome the problem of low accuracy, which is a disadvantage of the light scattering type PM sensor. We used a linear correction method and proceeded to adopt the most suitable value based on error and accuracy.

scholarly journals Computer Big Data Technology in Internet Network Communication Video Monitoring of Coal Preparation Plant

2021 ◽  
Vol 2083 (4) ◽  
pp. 042067
Author(s):  
Hao Chen ◽  
XinLi Zi ◽  
Qing Zhang ◽  
YuGe Zhu ◽  
JiaYin Wang
Keyword(s):  
Big Data ◽  
Monitoring System ◽  
Video Monitoring ◽  
Coal Preparation ◽  
Centralized Control ◽  
Safety Hazards ◽  
Fully Integrated ◽  
Potential Safety ◽  
Preparation Plant ◽  
Big Data Technology

Abstract The paper uses the control technology of computer big data and PLC, fieldbus communication technology and video monitoring technology to research, design and develop the monitoring system of the coal preparation plant’s production process. In this plan, the coal preparation plant’s video monitoring system, production centralized control system and other production support systems are fully integrated through network technology, to achieve the purpose of improving its safety guarantee function. The system improves the level of visual management, realizes unattended operation, and reduces potential safety hazards.

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