scholarly journals Power Equipment Fault Information Acquisition System Based on Internet of Things

2020 ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Low Voltage ◽  
Collection Efficiency ◽  
Acquisition System ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Fault Information ◽  
The Internet Of Things

Abstract With the advent of the Internet of things era, many of the original power equipment and its fault information acquisition system have the problems of low efficiency, slow and inaccurate fault information collection speed, so the design of intelligent system is very important. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things, and analyze the collection speed and accuracy of the system. In this study, a power company in our city was taken as the experimental object to collect the fault information reported by the company, and put the new IOT fault information acquisition system into use in another company. After using for one month, the data collected by the power equipment fault information acquisition system of the Internet of things are compared with the original system, and the information collection amount, accuracy and acquisition speed are calculated. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%, and the F1 value of the power equipment information acquisition system of the Internet of things is 96.4%, which is much higher than 86.3% and 75.7% of other systems. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the power equipment information acquisition system of the Internet of things has higher accuracy and speed of information acquisition than the traditional system and other systems, and greatly improves the working efficiency of the system. The conclusion is that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized. It makes contribution to the optimization and intelligent development of power equipment fault information acquisition system.

scholarly journals Power equipment fault information acquisition system based on Internet of things

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Acquisition System ◽  
Series Data ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Before And After ◽  
Fault Information ◽  
The Internet Of Things

AbstractWith the advent of the Internet of things era, power equipment is gradually connected to the network, and its intelligent fault detection function provides greater help for the power industry. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things. This research is based on the equipment fault information collection system of the Internet of things and mainly studies the fault information collection method based on the Internet of things technology. Equipment fault data are generally time series data. In the analysis of equipment failure, the data before and after fault and before and after fault are analyzed. The abnormal state of equipment is associated with the data before and after the fault. Therefore, by analyzing the characteristics of the fault data and the equipment before and after the fault, a bidirectional recurrent neural network model based on LSTM is constructed. The method designed in this paper can not only improve the efficiency and speed of collection, but also can compare and collect fault information. The overall operation state of the power unit is improved accurately. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized.

scholarly journals Power Condition Maintenance Based on Internet of Things Technology

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
XU Shi-jun
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Power Equipment ◽  
Intelligent Maintenance ◽  
Internet Of Things Technology ◽  
Maintenance Plan ◽  
The Internet Of Things ◽  
Infor Mation

Compared with the gen-eral condition of power equipment, the advan-tages of state maintenance based on Internetof Things are obvious. Methods: First, the in-formation collected by the Internet of Things isused to determine the maintenance plan, andthen the application of the Internet of Thingstechnology in the whole cycle management ofthe power equipment is introduced. Finally, thestate maintenance and general maintenancebased on the Internet of things are analyzed.Results: In addition to the maintenance ofmore efficient intelligent maintenance, infor-mation and data more secure and reliable, butalso improve the efficiency of maintenancework, reducing the waste of human resourcesand so on. Conclusion: Because of the obvi-ous advantages of power equipment conditionmaintenance based on Internet of Things tech-nology, it has important practical significanceand application value to carry on the thoroughresearch.

Research of the Elevator Monitoring System Based on the Internet of Things

2013 ◽  
Vol 423-426 ◽  
pp. 2380-2385 ◽  
Author(s):  
Shui Lin Tu ◽  
Zheng Yang Wu ◽  
Bin Qian
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Monitoring System ◽  
Information Acquisition ◽  
Supply Voltage ◽  
The Internet ◽  
Power Supply Voltage ◽  
Control Center ◽  
The Internet Of Things ◽  
Master Control

This paper discusses an elevator monitoring system based on embedded system and the internet of things. Through multi-sensor information acquisition, much information can be accessed to such as vibration, acceleration, speed, running noise,direction,floor station,door switch of the elevator car and power supply voltage,current, temperature of the traction machine,at the same time the noise and the temperature of the computer room with the information if there is anyone in the elevator, etc.. WinCE operating system is ported to the master control chip S3C2410 of ARM9 architecture,and a WAN connection between the elevator parameter monitoring terminals and the remote control center is established to realize the centralized monitoring and automatic remote failure alarm for the elevator operation. This system provides technical support for elevator safety regulation and the practical running results is satisfactory.

scholarly journals IoT Monitory System Based Smart Trash Management

2019 ◽  
Vol 8 (6S2) ◽  
pp. 195-197
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Smart City ◽  
Cost Effective ◽  
Information Collection ◽  
The Internet ◽  
City Management ◽  
Waste Collection ◽  
Logistics Process ◽  
The Internet Of Things

The Internet of Things (IoT), as the anticipated infrastructure for the planned Smart City idea, offers fresh opportunities for city management. IoT vision presents promising and cost-effective alternatives for huge information collection and analysis that can be implemented in many areas, making them more efficient to operate. In this paper, we discuss one of Smart City's most difficult problems-municipal waste collections. We use our own genetic algorithm application to optimize the waste collection logistics process. The solution submitted offers calculation of more effective paths for garbage trucks. As an output, we provide a set of specified area-focused simulations.

scholarly journals A New Approach to the Application of Condition-based Maintenance Technology of Power Equipment in Smart Grid

2020 ◽  
Vol 204 ◽  
pp. 02013
Author(s):  
Shiyu Chen ◽  
Yuenan Guo ◽  
Wei Sun ◽  
Kexin Zhang ◽  
Lin Li ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Internet Of Things ◽  
The Internet ◽  
Power Equipment ◽  
New Approach ◽  
Maintenance System ◽  
The Status ◽  
Internet Of Things Technology ◽  
Maintenance Plan ◽  
The Internet Of Things

With the deepening of the reform of power enterprises, it is imperative for the maintenance of power equipment to be replaced by conditional maintenance. Therefore, combining the advantages of the expert system and the comprehensive analysis technology of multiple fault diagnosis algorithms, an intelligent power equipment condition maintenance system is designed. The system is mainly composed of modules such as data management, status evaluation, risk assessment, fault diagnosis, monitoring and early warning, and decision-making suggestions. Each module is independent and interconnected. Secondly, combined with the information collected by the Internet of Things to determine the maintenance plan, and then introduced the application of the Internet of Things technology in the full cycle management of power equipment, and finally compared and analysed the status maintenance and general maintenance based on the Internet of Things technology.

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