Intelligent Human–Machine Interface: An Agile Operation and Decision Support for an ANAMMOX SBR System at a Pilot-Scale Wastewater Treatment Plant

Nawaz, Alam; Arora, Amarpreet Singh; Ali, Wahid; Nikita, Saxena; Yun, Chao Mun; Khan, Mohd Shariq; Lee, Moonyong

doi:10.1109/tii.2022.3153468

Cited by 19 publications

(7 citation statements)

References 25 publications

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“…Additionally, a human-machine interface (HMI) is being created for the system to aid engineers at the facility in prioritizing and monitoring the process. [19].…”

Section: Methodsmentioning

confidence: 99%

Energy optimization mechanism using metastable-smart grid (MSSG)

Kannan¹,

Pugazhendiran²,

Keshav³

et al. 2023

J. Phys.: Conf. Ser.

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The Smart Grid model uses energy from renewable sources and utilities to manage energy in a way that ensures uninterrupted power supply for users. In order to operate independently from the main power grid, a DC micro grid is a small power system that generates and uses its own DC electricity. Solar panels, fuel cells, and wind turbines are the most typical power sources for DC micro grids, with batteries used to store any extra energy. The independence of the power grid is one feature of a DC micro grid that promotes increased lifetime. Building owners have more latitude to pursue their sustainability goals since they have control over the production, delivery, and consumption of power. Super-twisting provides a dependable method and an effective instrument for the control of uncertain nonlinear systems by addressing the basic flaws of conventional sliding mode control, notably large control effort and chattering. Fractional order controllers provide greater design freedom than conventional integer order controllers. The purpose of this work was to create a metastable-smart grid(MSSG) user end model that could dynamically manage and optimize energy produced by renewable energy sources and the utility to ensure that customers always have access to electricity. Controlling these many power sources using MSSG and delivering energy in accordance with each user’s unique power plan is the responsibility of the central control unit of the distribution grid. The supply is only switched to solar by the central control unit if a user’s power consumption falls below a predetermined threshold. Giving consumers with less purchasing power more clout as a result.

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“…Additionally, a human-machine interface (HMI) is being created for the system to aid engineers at the facility in prioritizing and monitoring the process. [19].…”

Section: Methodsmentioning

confidence: 99%

Energy optimization mechanism using metastable-smart grid (MSSG)

Kannan¹,

Pugazhendiran²,

Keshav³

et al. 2023

J. Phys.: Conf. Ser.

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“…As in Figure 1, after collecting water quality, the UV appearance was standardised using water quality data from the spectra to understand the water quality collection, thus enabling the transfer of early warning models, reducing the resources required to calibrate equipment and improving the use of models, resulting in a standardised UV-Vis spectral water quality database for spectral standard instruments [15]. Due to the standardised UV levels of different rivers, various indicators and algorithmic models were selected during data collection, so that a DT algorithm can be used to extract UV-Vis spectral water quality data features, in order to learn and model the spectral information used to extract spectral water quality data features, apply the classification of spectral information to study the quality of water spectral information, and analyse water quality through a decision algorithm classification [16]; using the water quality analysis model, based on the advantages of electronic information technology, and take full advantage of its efficient computing power and its portability, to achieve the processing of water quality data, and by setting up a water pollution early warning system environment, can real-time display of water quality, so as to achieve water pollution early warning [17][18].…”

Section: Figure 1 Wp Early Warning Methods System Structure Diagrammentioning

confidence: 99%

Water Pollution Early Warning Model Based on Decision Tree Algorithm and Electronic Information Technology

2022

WPPCP

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After the water pollution (WP) incident, it has caused a serious impact on the natural environment, people's health, residents' daily life, and social economy. It is more urgent to promote the economy and environment with high level and quality, which puts forward new requirements for environmental managers. In recent years, the prediction and early warning of water bodies using decision tree (DT) algorithm has received extensive attention. Therefore, this paper adopts the DT algorithm and establishes a WP early warning model (EWM) with the support of electronic information technology (EIT). This model is used to monitor a river reach and water quality indicators, analyze the changes of water quality parameters, and analyze the water quality status. This efficient and accurate prediction and early warning technology is conducive to timely response to WP events, which is of great significance for ecological protection and environmental decision-making.

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“…An ideal and efficient early warning system for the water environment in a watershed [8][9] should meet the following needs; Providing a rapid response to police situations; A sufficiently broad range of pollutant types for early warning; Both sampling and preservation of samples, with the greatest possible automation [10][11]; Moderate cost to purchase, maintain and upgrade the system; Simplicity of operation, avoiding extensive training and excessive skill requirements; Sources of contamination can be identified and basic information on the spread of contaminants downstream can be predicted; Adequate sensitivity for monitoring of contaminants; Minimization of errors; demonstrate sufficient stability and strength for frequent operations [12][13]; Can be operated and adjusted remotely; Capable of continuous operation; Ability to allow third parties to test, evaluate and validate.…”

Section: Basin Water Environment Early Warning System Needsmentioning

confidence: 99%

Early Warning System for Urban Industrial Wastewater based on Remote Sensing Technology and Image Analysis

2023

WPPCP

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With the rapid development of economy, the scale of China's cities is expanding, and the discharge of urban industrial wastewater is also increasing, which has caused some pressure on urban wastewater treatment plants. In this paper, a method of early warning analysis of urban industrial wastewater based on remote sensing technology and image analysis technology is proposed based on the analysis of the current situation of industrial wastewater discharge. The method is used in the sewage early warning system can effectively improve the operational efficiency of sewage treatment plants and water quality monitoring capabilities. It provides a reference basis for enterprises to provide real-time monitoring data and formulate corresponding pollution treatment plans. In view of the industrial sewage pollution, this paper proposes a scheme to build an early warning system for urban industrial sewage based on remote sensing technology and image analysis technology. The system combines remote sensing images and field data to identify industrial wastewater pollution characteristics as the core objective, classify and identify pollutant molecules in images through multi-scale identification and classification algorithms, and use discriminative methods to make a comprehensive evaluation of this water quality model. The results show that the early warning system can accurately identify industrial wastewater pollutants.

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Intelligent Human–Machine Interface: An Agile Operation and Decision Support for an ANAMMOX SBR System at a Pilot-Scale Wastewater Treatment Plant

Cited by 19 publications

References 25 publications

Energy optimization mechanism using metastable-smart grid (MSSG)

Energy optimization mechanism using metastable-smart grid (MSSG)

Water Pollution Early Warning Model Based on Decision Tree Algorithm and Electronic Information Technology

Early Warning System for Urban Industrial Wastewater based on Remote Sensing Technology and Image Analysis

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