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    Item type:Publication,
    Remote monitoring and alert system of HV transformer based on FMEA
    (2020-12-01)
    Asadi, Farzin
    ;
    Phumpho, Satree
    ;
    Pongswatd, Sawai
    This paper presents a technique to measure and collect maintenance data for remote monitor of high voltage transformer. The technique installs field instruments to measure winding temperature, cooling-oil temperature, inner pressure, electrical power, and so on. IoT2040 is applied for acquisition (DAQ), processing unit and smart gateway. It converts field data into information that enables for real time monitoring and preventive maintenance applications. This technique can transform time-based maintenance to condition-based maintenance. In addition, the proposed script functions are created based on failure modes and effects analysis (FMEA) to identify alarm and alert conditions. Consideration alarm-referenced parameters that are diagnostic, performance/efficiency analysis relate to operation or communication conditions also assign by script functions. The relevant data from IoT2040 can be transmitted to the local computer as well as a remote-mobile devices running the dashboard with Ubidots server. Ubidots server is responsible for HMI and delivering specific alarm and alert services to the user. Users can access for remote monitoring by smart phone, tablet, laptop, and PC. The experiment performs by simulation with 3 phase Oil immersed distribution transformer. Electrical specification is 50 Hz 250 kVA, 22 kV, 400/230 V. The results shown the assigned data, dashboard, and notices message that notices relate the FMEA scripts. The technique provides early warning detection of transformer statuses that make opportunity to take corrective action to prevent failure.
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    Item type:Publication,
    Design and implementation of internet-based remote monitoring for continuous vacuum pans in sugar factory
    (2018-05-01)
    Pongswatd, Sawai
    ;
    Smerpitak, Krit
    ;
    Weerathaweemas, Songchai
    ;
    Chamnanakson, Saithan
    This paper presents a practical technique to design and implement the Inter- net-based system for remotely monitoring key performance indicators (KPIs) in operation of vacuum pans for sugar crystallization by using supervisory control and data acquisi- tion (SCADA) software, which provides web-enabled human machine interface (HMI). The remote monitoring system for the DECHAROEN™ continuous vacuum pans is de- scribed as an illustrative case study to verify the proposed technique performance. At the remote site, the programs (or script functions) based on web services were developed for detecting and collecting the KPIs in the text file format from the operator workstation of the host system in the raw sugar plant. The created text files are transferred to the data center through the Internet. At the data center, the database was created using XAMPP software, and the website and web pages were built using HTML and CSS. The proposed system can be useful in performance analysis for continuous quality improvement. Experimental results demonstrating the proposed monitoring system are also included.