Monitoring System for Temperature and Humidity Sensors in the Production Room Using Node-Red as the Backend and Grafana as the Frontend

Khoirul Anam, Difa Nur Rofi, Ruci Meiyanti
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Abstract

The client from the TRIAS project is facing issues with a decrease in production quality or defective products. They require a monitoring system for temperature and humidity in the production area, providing real-time notifications in case of any anomalies in temperature and humidity. However, the project has a limited budget, which poses a challenge for the contractor in developing a monitoring system that tracks temperature and humidity changes using temperature and humidity sensors as the data source. It should also provide alarms if the temperature and humidity values exceed the standard values for the room. Additionally, the pricing offer should be adjusted using information technology. The research methodology used in this study includes qualitative methods such as observation, literature review, and interviews to gather data on the mentioned issues. The SWOT method is used to analyze business process problems, while the Waterfall method is employed for system development. Based on the research findings, the researcher concludes that this project requires cost reduction in material usage and also needs a data visualization application for the mentioned sensors. The visualization application system utilizes Grafana as the frontend, chosen for its high flexibility in processing. The temperature and humidity data obtained from the sensors will be recorded by Node-Red as the backend and synchronized on the server. The data stored on the server will be saved in a MySQL database. The data from the database will be synchronized with Grafana for processing and visualization, presenting the data in easily understandable graphical forms.
以Node-Red为后端,Grafana为前端的生产机房温湿度传感器监控系统
TRIAS项目的客户正面临生产质量下降或产品缺陷的问题。他们需要生产区域的温度和湿度监测系统,在温度和湿度出现异常时提供实时通知。然而,该项目预算有限,这给承包商开发监测系统带来了挑战,该系统使用温湿度传感器作为数据源来跟踪温度和湿度的变化。当温度和湿度超过标准值时,还应提供报警功能。此外,定价报价应使用信息技术进行调整。本研究采用的研究方法包括观察、文献回顾和访谈等定性方法来收集有关上述问题的数据。SWOT方法用于分析业务流程问题,而瀑布方法用于系统开发。根据研究结果,研究人员得出结论,该项目需要降低材料使用成本,还需要上述传感器的数据可视化应用程序。该可视化应用系统采用Grafana作为前端,选择其处理灵活性高。从传感器获得的温度和湿度数据将由Node-Red作为后端记录,并在服务器上同步。存储在服务器上的数据将保存在MySQL数据库中。数据库中的数据将与Grafana同步进行处理和可视化,以易于理解的图形形式呈现数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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