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Analysis of Electric Current by Using MySQL Database on Web Server for Machine Performance Evaluation: A Case Study of Air Conditioning System

机译:使用MySQL数据库对机器性能评估的MySQL数据库进行电流分析 - 以空调系统为例

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This study developed a performance analyzing system for industrial machines by using an air conditioning system as a case study. Electricity consumption of the air conditioner compressor operating normally under controlled temperature in the room was gathered by applying the principle of quantitative data collection. Work efficiency of the system was analyzed by using the big data pattern. Due to sufficient information, it can further contribute to the application of AI (Artificial Intelligence) in analysis of the failures or causes of machine malfunctions. Data collecting system in this study was designed to analyze electric current and various parameters including power voltage, temperature and humidity, real power and power factor in order to recheck as well as increase the reliability of the system. All collected data were stored in the MySQL database on a web server and managed by phpMyAdmin that could allow users to access the information chronologically on daily, monthly, or yearly basis via a computer screen. The test results showed that the designed system was accurate with a small variation about 0.07 A or 1.78% compared to the standard digital ammeter. For power voltage, an average difference compared to the standard digital voltmeter was approximately 0.4 V or about 0.17%.
机译:本研究通过使用空调系统为案例研究开发了工业机器的性能分析系统。通过应用定量数据收集原理,收集了通常在房间受控温度下运行的空调压缩机的电力消耗。通过使用大数据模式分析系统的工作效率。由于足够的信息,它可以进一步有助于AI(人工智能)在机器故障的故障或原因的分析中应用AI(人工智能)。本研究中的数据收集系统旨在分析电流和各种参数,包括电源电压,温度和湿度,实际功率和功率因数,以便重新检查并提高系统的可靠性。所有收集的数据都存储在Web服务器上的MySQL数据库中,并由PHPMyAdmin管理,可以允许用户按照计算机屏幕按日常,每月或年度按顺序访问信息。测试结果表明,与标准数字电流表相比,设计的系统的精确变化约为0.07A或1.78%。对于电源电压,与标准数字电压表相比的平均差约为0.4V或约0.17%。

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