This paper constructs an intelligent home monitoring system based on NI wireless sensor network. The system consists of multiple sensors to collect temperature and humidity, smoke, theft and other environmental data. ...
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A multiple UAVs gas pollution source localization method based on improved RRT algorithm is proposed to address the problem of gas pollution source localization in flood control protection areas, which is randomly dis...
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In order to solve problems of computer delay and low information batch storage load of the intelligent distribution network system, a machine learning-based distribution network monitoring information batch processing...
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Black and malodorous water bodies represent a severe water pollution phenomenon that urgently needs addressing due to the discomfort and health risks they pose. Since the release of the"Action Plan for Prevention...
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With the vigorous development of the construction industry, the market demand for automatic control systems is increasing, and it has attracted domestic and foreign automation system manufacturers to continuously impr...
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In order to improve the environmentalmonitoring and operation management level of the power distribution room, this paper launches the construction of an integrated sensing and control system for intelligent power di...
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The communication information acquisition system has the problem of high packet loss rate. This paper designs an intelligent communication big data information monitoring system based on genetic algorithm. Through the...
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Smart production scheduling has gained significant attention due to advancements in industrial informatics and technologies that enable the monitoring, control, and adaptation of task scheduling in response to disrupt...
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Smart production scheduling has gained significant attention due to advancements in industrial informatics and technologies that enable the monitoring, control, and adaptation of task scheduling in response to disruptive events. These events can include machine breakdowns, variations in task processing times, and the arrival of new or unexpected tasks. Concurrently, sustainable production scheduling aims to optimize task scheduling by considering economic, environmental, and social factors. This paper introduces a novel optimization model for the development of smart and sustainable production scheduling in a distributed permutation flow shop. The proposed model aims to minimize the makespan while simultaneously limiting the number of lost working days and energy consumption. It also strives to increase job opportunities within acceptable limits. To evaluate the proposed model, we conduct numerical simulations using various examples and a real-case study focusing on auto workpiece production. The results demonstrate the superior performance of the proposed model. Sensitivity analyses are performed to assess the model's ability to deal with disruptions and uncertainties while satisfying economic, environmental, and social considerations. (C) 2024 The Authors. Published by Elsevier B.V.
This research work explores the possibility of simultaneous use of Industry 4.0 technologies, namely the Internet of Things (IoT) and distributed systems (Blockchain) for collecting, processing, storing and confirming...
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The Internet of Things (IoT) has improved our lives through various applications such as home automation, smart city monitoring, environmentalmonitoring, intelligent farming, and a host of others. IoT is increasingly...
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