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This paper presents the development and implementation of a centralized industrial network for an automatic purified water production system used in the pharmaceutical industry. This implementation is part of a project to adapt an industrial plant to cope with advances in industrial technology to achieve the level of Industry 4.0. The adequacy of t...
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... action releases the flow of water to the deionized water tank, which will serve as a buffer tank to supply the next stage of the process, reverse osmosis. The storage tank has a capacity of 2000 L and is made of 316 L stainless steel ( Figure 2). A Delta PLC (model DVP-PS02) controls, through dedicated software, the deionization process by detecting the conductivity and opening/closing valves. ...
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The primary objective of the water purification process is to remove harmful chemical compounds and microorganisms from water sources in order to produce water suitable for human consumption. Water purification satisfies the demand for drinkable water, which is a requirement for many industries, including the medical, pharmaceutical, and chemical i...
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... The control software of the node will require the addition of alternative workflows for the command interpreter ( Figure 6). By doing so, the developed network could be turned into a SCADA system [29]. In addition, the network also allows alternative or sequential communication options (e.g., MQTT) due to the available resources and libraries in Python. ...
The control of water quality is crucial to ensure the survival of fish in aquaculture production facilities. Today, the combination of sensors with communication technologies permits to monitor these crucial parameters in real-time, allowing to take fast management decisions. However, out-of-the-box solutions are expensive, due to the small market and the industrial nature of sensors, besides being little customizable. To solve this, the present work describes a low-cost hardware and software architecture developed to achieve the autonomous water quality assessment and management on a remote facility for fish conservation aquaculture within the framework of the Smart Comunidad Rural Digital (smartCRD) project. The developed sensor network has been working uninterruptedly since its installation (20 April 2021). It is based on open source technology and includes a central gateway for on-site data monitoring of water quality nodes as well as an online management platform for data visualization and sensor network configuration. Likewise, the system can detect autonomously water quality parameters outside configurable thresholds and deliver management alarms. The described architecture, besides low-cost, is highly customizable, compatible with other sensor network projects, machine-learning applications, and is capable of edge computing. Thus, it contributes to making open sensorization more accessible to real-world applications.
The pharmaceutical industry is a highly water-reliant sector that consumes a high amount of raw water and energy in its production processes to meet rising healthcare demands and achieve environmental standards. This paper presents an empirical investigation through a linear process analysis of a pilot water treatment plant employed in the manufacturing of medicines. In the paper, key ICTs involving sensor applications at subsequent treatment stages have been discussed. In particular, volumetric flowrate across successive filtration methods, and a semipermeable RO membrane operation have been mathematically modeled for process analysis and optimization. The results of the study reveal that the performance and durability of the RO treatment section are chiefly determined by the robust pretreatment organic filtration methods, where the main operational parameters such as volumetric flow rate, solute concentrations, and change in pressures across RO unit have been instrumental in the optimization of plant performance and act as a driving force in enhancing system efficiency.KeywordsPilot studyWater treatment plantProcess analysisSensor applicationsControlled operationMathematical modeling
