Remote Monitoring and Energy Grade Evaluation for Water-Based Centrifugal Pumps Based on Browser/Server Architecture

This study presents an online evaluation system for the energy efficiency grade of centrifugal pump units using a Browser/Server architecture. The system employs direct calculation and characteristic curve fitting methods to evaluate efficiency, with corrections for viscous fluids. It utilizes Java20, SpringBoot2.7x, HTML5, CSS3, Ajax, and RESTful API technologies for real-time monitoring and evaluation. The system has undergone rigorous testing and full-scale deployment within a petrochemical facility. As demonstrated herein, it delivers exceptional stability and precision, cutting evaluation time substantially while markedly enhancing energy-conservation performance.

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Publication Details

Journal
Processes
Published
2025-08-21
DOI
https://doi.org/10.3390/pr13082650
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.73
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Remote Monitoring and Energy Grade Evaluation for Water-Based Centrifugal Pumps Based on Browser/Server Architecture

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Remote Monitoring and Energy Grade Evaluation for Water-Based Centrifugal Pumps Based on Browser/Server Architecture

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article en
1 citations

Abstract

This study presents an online evaluation system for the energy efficiency grade of centrifugal pump units using a Browser/Server architecture. The system employs direct calculation and characteristic curve fitting methods to evaluate efficiency, with corrections for viscous fluids. It utilizes Java20, SpringBoot2.7x, HTML5, CSS3, Ajax, and RESTful API technologies for real-time monitoring and evaluation. The system has undergone rigorous testing and full-scale deployment within a petrochemical facility. As demonstrated herein, it delivers exceptional stability and precision, cutting evaluation time substantially while markedly enhancing energy-conservation performance.

ProcessesVol. 13(8)
Sinopec (China) (CN), Liaoning Shihua University (CN)
Openalex Percentile: Top 24%
IoT-based Smart Home Systems
0.73
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