In this paper, an intelligent remote monitoring system based on Internet of Things (IoT) technology is proposed for real-time monitoring of the operating status of PVT and heat pump combined system. Through the integr...
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The control of PH and EC in the nutrient solution of hydroponic plant factories is a key factor affecting the yield and quality of plants. In this paper, a cloud-based system for environmental factors in plant factori...
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Aiming at the environmentalcontrol of cable accessories during the installation process and the overall portable processing equipment for the working environment of high-voltage cable accessories, this paper develope...
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The escalating rate of energy consumption and its adverse environmental effects, coupled with the reliance on non-renewable sources like fossil fuels, has heightened the importance of energy management. The framework ...
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As Multi-Robot Systems (MRS) become more affordable and computing capabilities grow, they provide significant advantages for complex applications such as environmentalmonitoring, underwater inspections, or space expl...
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ISBN:
(纸本)9798350377712;9798350377705
As Multi-Robot Systems (MRS) become more affordable and computing capabilities grow, they provide significant advantages for complex applications such as environmentalmonitoring, underwater inspections, or space exploration. However, accounting for potential communication loss or the unavailability of communication infrastructures in these application domains remains an open problem. Much of the applicable MRS research assumes that the system can sustain communication through proximity regulations and formation control or by devising a framework for separating and adhering to a predetermined plan for extended periods of disconnection. The latter technique enables an MRS to be more efficient, but breakdowns and environmental uncertainties can have a domino effect throughout the system, particularly when the mission goal is intricate or time-sensitive. To deal with this problem, our proposed framework has two main phases: i) a centralized planner to allocate mission tasks by rewarding intermittent rendezvous between robots to mitigate the effects of the unforeseen events during mission execution, and ii) a decentralized replanning scheme leveraging epistemic planning to formalize belief propagation and a Monte Carlo tree search for policy optimization given distributed rational belief updates. The proposed framework outperforms a baseline heuristic and is validated using simulations and experiments with aerial vehicles. Note-Videos are provided in the supplementary material and also at https://***/lb-iros24.
Wireless Sensor Systems (WSN) is a broad, exciting area with new perspectives and growing growth over the past decades, where more research is being done. WSNs contain many (hundreds of thousands) of micro-sized, chea...
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A system for smart vehicle emissions monitoring and analysis using cloud computing and neural networks is presented in this paper. As global environmental concerns develop, monitoring and reducing vehicle emissions is...
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The video surveillance system is a key component of the technologies deployed in smart cities. It serves a variety of applications, including public safety, crime prevention, traffic management, and environmental moni...
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This article mainly studied the use of distributed photovoltaic power generation technology to achieve intelligentcontrol of low-voltage distribution networks. With the rapid development of new energy, distributed ph...
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Inefficient garbage collection not only leads to overflowing bins and unpleasant but also poses significant environmental and health risks. This paper proposes an effective garbage monitoring system utilizing a GSM mo...
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