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.

scholarly journals Network Public Opinion Monitoring System for Agriculture Products Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
He Liu ◽  
Zekun Yu ◽  
Xiangzhi Zhong ◽  
Helong Yu
Keyword(s):  
Big Data ◽  
Public Opinion ◽  
Monitoring System ◽  
Agricultural Sector ◽  
Negative Impact ◽  
Agricultural Products ◽  
Agricultural Product ◽  
Agriculture Products ◽  
Big Data Technology ◽  
Network Public Opinion

The influence of online public opinion on agricultural product safety on the society is increasing. In order to correctly guide the direction of online public opinion on agricultural products, help the agricultural sector turn from passive to active public opinion, timely prevent the spread of negative public opinion, and reduce the negative impact on public opinion hot events, it is especially important to improve the ability of monitoring agricultural products’ network public opinion. This research is based on big data technology to develop an agricultural products’ network public opinion monitoring system that can collect, process, and analyze data in real time, discover and track hot topics, and calculate and visualize the polarity of public sentiment. The use of big data technology to increase the processing speed aims to strengthen the public’s supervision of the public opinion on the network security of agricultural products and provide an effective basis of the decision-making of relevant departments.

scholarly journals Distributed communication power monitoring system based on big data technology

2021 ◽  
Vol 2087 (1) ◽  
pp. 012080
Author(s):  
Weiwei Liang ◽  
Wanli Ma ◽  
Lixia Zhang ◽  
Lei Fan ◽  
Meiru Huo
Keyword(s):  
Big Data ◽  
Monitoring System ◽  
Power Supply ◽  
Design Method ◽  
Response Speed ◽  
Application Process ◽  
Operation Performance ◽  
Power Monitoring ◽  
Distributed Communication ◽  
Big Data Technology

Abstract Communication system has high quality requirements for power supply. Realizing the effective monitoring of power supply system is an important measure to improve power quality. In order to better and effectively manage massive power information in complex environment and avoid communication power failure, a design method of distributed communication power monitoring system based on big data technology is proposed. The system operation performance is proposed, and the software function and operation process of the communication power monitoring system are simplified by using big data technology to improve the system monitoring accuracy. Finally, the experiment shows that the distributed communication power monitoring system based on big data technology has significantly higher response speed and relatively lower monitoring error in the actual application process.

scholarly journals Computer Intelligent Cloud Server Platform of Coal Preparation Plant Based on Big Data Cloud Technology

2021 ◽  
Vol 2083 (4) ◽  
pp. 042066
Author(s):  
Qing Zhang ◽  
Hao Chen ◽  
JiaYin Wang ◽  
YuGe Zhu ◽  
ChangZhong Zhou
Keyword(s):  
Big Data ◽  
Production Efficiency ◽  
Operating Cost ◽  
Cloud Service ◽  
Coal Preparation ◽  
Cloud Technology ◽  
Cloud Server ◽  
Electromechanical Equipment ◽  
Coal Preparation Plant ◽  
Preparation Plant

Abstract This article combines the actual situation of the coal preparation plant and uses big data cloud technology to carry out detailed system requirements analysis and monitoring platform design. The entire design includes server framework design, database design, cloud service deployment and mobile client prototype design. According to the on-site working conditions of electromechanical equipment, the article uses ER model and 3NF method to abstract it and establishes a MySQL real-time database of equipment operating status. Finally, the ECS cloud server is used to complete the deployment, and the JSP technology is used to realize the display of the system’s man-machine interface, as well as remote monitoring services for equipment monitoring, information management, and user management. Practical application shows that the system can improve the comprehensive automation and information level of the enterprise, reduce the operating cost of the enterprise, and improve the production efficiency of the enterprise.

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