Design and development of an IoT-based web application for an intelligent remote SCADA system

This paper presents a design of an intelligent remote electrical power supervisory control and data acquisition (SCADA) system based on the Internet of Things (IoT), with Internet Information Services (IIS) for setting up web servers, an ASP.NET model-view- controller (MVC) for establishing a remote...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-03, Vol.323 (1), p.12025
Main Authors: Kao, Kuang-Chi, Chieng, Wei-Hua, Jeng, Shyr-Long
Format: Article
Language:English
Subjects:
Applications programs
Control systems
Electronic devices
Information services
Internet of Things
Power management
Query languages
Remote control
Remote monitoring
Remote sensors
Supervisory control and data acquisition
TCP/IP (protocol)
Wireless sensor networks
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Summary:This paper presents a design of an intelligent remote electrical power supervisory control and data acquisition (SCADA) system based on the Internet of Things (IoT), with Internet Information Services (IIS) for setting up web servers, an ASP.NET model-view- controller (MVC) for establishing a remote electrical power monitoring and control system by using responsive web design (RWD), and a Microsoft SQL Server as the database. With the web browser connected to the Internet, the sensing data is sent to the client by using the TCP/IP protocol, which supports mobile devices with different screen sizes. The users can provide instructions immediately without being present to check the conditions, which considerably reduces labor and time costs. The developed system incorporates a remote measuring function by using a wireless sensor network and utilizes a visual interface to make the human-machine interface (HMI) more instinctive. Moreover, it contains an analog input/output and a basic digital input/output that can be applied to a motor driver and an inverter for integration with a remote SCADA system based on IoT, and thus achieve efficient power management.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/323/1/012025