Wireless Condition Monitoring and Control of Air Compressor Fleet System Based on the Internet of Things

2014 ◽  
Vol 1027 ◽  
pp. 294-297
Author(s):  
Ye Ming Zhang ◽  
Zhi Guo Li ◽  
Mao Li Cai
Keyword(s):  
Energy Efficiency ◽  
Condition Monitoring ◽  
Test System ◽  
Monitoring And Control ◽  
Health Maintenance ◽  
Air Compressor ◽  
Energy Saving Potential ◽  
Optimization Control ◽  
And Control ◽  
The Internet Of Things

The whole optimization control and health maintenance of air compressor fleet system in coal mine is the current key problems urgently to be solved in pneumatic system application. The test system of wireless condition monitoring and control for air Compressor fleet is setup and the hardware structure of test system is put forward. Overall energy efficiency and piecewise energy efficiency concept of air compressor fleet system is proposed in this paper. The overall efficiency and the energy-saving potential of compressed gas supplying system are quantified by the method of Capacity on Demand. Network optimization control algorithm for the air compressor fleet system is proposed for the better management of the compressed air system.

Система дистанційного моніторингу та керування кліматичними параметрами приміщень в процесі промислового виробництва

2020 ◽  
pp. 19-23
Author(s):  
Ігор Бережний ◽  
◽  
Адріан Наконечний ◽  
Keyword(s):  
Energy Efficiency ◽  
Comparative Analysis ◽  
Technological Process ◽  
Remote Monitoring ◽  
High Speed ◽  
Monitoring And Control ◽  
Remote Monitoring And Control ◽  
The Cost ◽  
And Control ◽  
Communication Lines

Based on the research and comparative analysis of existing systems, an algorithm for remote monitoring and control of the technological process using IoT technologies is proposed and developed. We consider a system with flexible algorithms, which combines different data protocols using Wi-Fi technology, which allows you to use this type of system in any industry safely with high speed, energy efficiency and without the cost of communication lines.

scholarly journals False Alarms Analysis of Wind Turbine Bearing System

2020 ◽  
Vol 12 (19) ◽  
pp. 7867 ◽  
Author(s):  
Ana María Peco Chacón ◽  
Isaac Segovia Ramírez ◽  
Fausto Pedro García Márquez
Keyword(s):  
Wind Speed ◽  
Condition Monitoring ◽  
Wind Farms ◽  
Data Partitioning ◽  
False Alarms ◽  
Monitoring And Control ◽  
Condition Monitoring Systems ◽  
Mining Centers ◽  
Critical Components ◽  
And Control

Wind turbines are complex systems that use advanced condition monitoring systems for analyzing their health status. The gearbox is one of the most critical components due to its elevated downtime and failure rate. Supervisory Control and Data Acquisition systems are employed in wind farms for condition monitoring and control in real time. The volume and variety of the data require novel and robust techniques for data analysis. The main novelty of this work is the development of a new modelling of the temperature curve of the gearbox bearing versus wind speed to detect false alarms. An approach based on data partitioning and data mining centers is employed. The wind speed range is divided into intervals to increase the accuracy of the model, where the centers are considered representative samples in the modelling. A method based on the alarm detection is developed and studied together with the alarms report provided by a real case study. The results obtained allow the identification of critical alarm periods outside the confidence interval. It is validated that the study of alarm identification, pre-filtered data, state variable, and output power contribute to the detection of the false alarms.

scholarly journals Monitoring and Analysis of the Performance Data of a RO-PAX Ship in the Perspective of Energy Efficiency

2015 ◽  
Vol 21 (4) ◽  
pp. 18-26 ◽  
Author(s):  
Anna Maria Galli ◽  
Paola Gualeni ◽  
Giuseppe Stranieri ◽  
Stefano Qualich ◽  
Giovanni Cusano
Keyword(s):  
Energy Efficiency ◽  
Control Strategies ◽  
Large Data ◽  
International Standards ◽  
Pollutant Emissions ◽  
Data Sets ◽  
Monitoring And Control ◽  
Board Monitoring ◽  
Energy Processes ◽  
And Control

Abstract The rising cost of fuel, the more and more severe international standards and a growing awareness of the environmental impact of pollutant emissions have led energy efficiency to become a theme of great interest in the marine sector. The strategy for increasing energy efficiency may refer both to the consumption reduction and to the increase of energy recovery systems. This need turns out in monitoring and control strategies for energy processes on board. Monitoring information is recorded and stocked in a database, that needs to be analyzed to find out patterns in large data sets. A huge amount of data, from a RO-PAX ship, has been analyzed in order to gain a further insight into ship performances. Improvements in ship energy performances could be reached with an intense study of the historical data of the vessel attitude.

scholarly journals Smart Monitoring and Control in the Future Internet of Things

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 27
Author(s):  
Franco Cicirelli ◽  
Antonio Guerrieri ◽  
Andrea Vinci
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Future Internet ◽  
The Internet ◽  
Monitoring And Control ◽  
The Future ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (IoT) and related technologies are promising in terms of realizing pervasive and smart applications, which, in turn, have the potential to improve the quality of life of people living in a connected world [...]

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