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海水淡化过程的数据监测解决方案:冷却塔与机械蒸汽压缩混合系统

Data-Monitoring Solution for Desalination Processes: Cooling Tower and Mechanical Vapor Compression Hybrid System.

作者信息

Hernández-Baño Paula, Molina-García Angel, Vera-García Francisco

机构信息

Department of Automatics, Electrical Engineering and Electronic Technology, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.

Department of Thermal Engineering and Fluids, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.

出版信息

Sensors (Basel). 2024 May 2;24(9):2909. doi: 10.3390/s24092909.

DOI:10.3390/s24092909
PMID:38733014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11086185/
Abstract

The advancement of novel water treatment technologies requires the implementation of both accurate data measurement and recording processes. These procedures are essential for acquiring results and conducting thorough analyses to enhance operational efficiency. In addition, accurate sensor data facilitate precise control over chemical treatment dosages, ensuring optimal water quality and corrosion inhibition while minimizing chemical usage and associated costs. Under this framework, this paper describes the sensoring and monitoring solution for a hybrid system based on a cooling tower (CT) connected to mechanical vapor compression (MVC) equipment for desalination and brine concentration purposes. Sensors connected to the data commercial logger solution, Almemo 2890-9, are also discussed in detail such as temperature, relative humidity, pressure, flow rate, etc. The monitoring system allows remote control of the MVC based on a server, GateManager, and TightVNC. In this way, the proposed solution provides remote access to the hybrid system, being able to visualize gathered data in real time. A case study located in Cartagena (Spain) is used to assess the proposed solution. Collected data from temperature transmitters, pneumatic valves, level sensors, and power demand are included and discussed in the paper. These variables allow a subsequent forecasting process to estimate brine concentration values. Different sample times are included in this paper to minimize the collected data from the hybrid system within suitable operation conditions. This solution is suitable to be applied to other desalination processes and locations.

摘要

新型水处理技术的进步需要实施精确的数据测量和记录过程。这些程序对于获得结果和进行全面分析以提高运营效率至关重要。此外,准确的传感器数据有助于精确控制化学处理剂量,确保最佳水质和抑制腐蚀,同时最大限度地减少化学药剂的使用和相关成本。在此框架下,本文描述了一种基于冷却塔(CT)与机械蒸汽压缩(MVC)设备相连的混合系统的传感和监测解决方案,该混合系统用于海水淡化和盐水浓缩。还详细讨论了连接到数据商用记录器解决方案Almemo 2890 - 9的传感器,如温度、相对湿度、压力、流速等。该监测系统允许基于服务器GateManager和TightVNC对MVC进行远程控制。通过这种方式,所提出的解决方案提供了对混合系统的远程访问,能够实时可视化收集到的数据。本文使用位于西班牙卡塔赫纳的一个案例研究来评估所提出的解决方案。文中包含并讨论了从温度变送器、气动阀、液位传感器和电力需求收集的数据。这些变量允许后续的预测过程来估计盐水浓度值。本文包含了不同的采样时间,以便在合适的运行条件下最小化从混合系统收集的数据。该解决方案适用于其他海水淡化工艺和地点。

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