Application of ZigBee-Based Internet of Things Technology to Demand Response in Smart Grids

Deese, Anthony S.; Daum, Julian

doi:10.1016/j.ifacol.2018.11.675

Cited by 16 publications

(3 citation statements)

References 9 publications

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“…Information aggregation technology will use multiple sensors to detect targets at the same time, obtain multiangle information, and then fuse them to improve the accuracy of data. erefore, it embodies the integration of data collection, storage, transmission, and extraction functions [9,10].…”

Section: Internet Of Things Technology and Lrpmentioning

confidence: 99%

LRP Model and Algorithm of Expressway Logistics Network Planning Based on Internet of Things

Kou

Zhang²

2021

Mobile Information Systems

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With the continuous improvement of the expressway logistics network, the location-routing problems (LRP) have become the obstacle to be overcome in the development of related industries. Based on the needs of modernization, in the era of the Internet of Things, classic traffic path planning algorithms can no longer meet the increasingly diverse needs, and related research results are not ideal. To reduce logistics costs and meet customer needs, this paper studies transportation route planning models and algorithms based on Internet of Things technology and particle swarm optimization. Firstly, the LRP model of expressway logistics network planning analyzes the achievement of goals, lists the assumptions, and builds the LRP model of expressway logistics network planning based on the mathematical model of path planning. Then the model is optimized and solved based on the particle swarm optimization algorithm. In order to verify the effectiveness and feasibility of the algorithm, MATLAB is used to simulate the algorithm. Finally, the LRP particle swarm optimization model of highway logistics network planning is put into the actual distribution work of a logistics company to analyze the change of distribution cost and investigate the related satisfaction. Experimental data show that the improved particle swarm optimization algorithm in this paper begins to converge in the 100th generation, the shortest running time is 57s, and the value of the objective function fluctuates slightly around 880. This shows that the model algorithm in this paper has strong search ability and stability. In the simulation experiment, the optimal objective function value of the model is 1001 yuan, which can be used to formulate the optimal distribution scheme. In the actual distribution work, the total cost of distribution before and after the application of the model was 12176.99 yuan and 9978.4 yuan, the fuel consumption cost decreased by 2097.23 yuan, and the penalty cost decreased by 85%. In the satisfaction survey, the satisfaction of all people was 9 points or above, with an average score of 9.42 points. This shows that the LRP particle swarm optimization model of expressway logistics network planning based on the Internet of Things technology can effectively save distribution costs and improve satisfaction.

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Section: Internet Of Things Technology and Lrpmentioning

confidence: 99%

LRP Model and Algorithm of Expressway Logistics Network Planning Based on Internet of Things

Kou

Zhang²

2021

Mobile Information Systems

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“…This is achieved by integrating equipment data collection nodes with the central control node in the control room, thereby constructing an engine room equipment detection platform. The proposed system aims to advance the development and application of wireless communication technology in ship equipment monitoring [2]. An engine room fire safety monitoring system was designed using ZigBee communication technology by An et al [3].…”

Section: Introductionmentioning

confidence: 99%

“…The rapid development of wireless communication technology has led to its application in an increasing number of fields. Literature [2]- [6] has conducted a series of relevant experiments on ship wireless communication systems based on ZigBee technology. By analyzing and studying the results, the feasibility of using a ZigBee-based communication system in the engine room of a real ship was found.…”

Section: Introductionmentioning

confidence: 99%

IoT-based cabin inspection technology for ships

Wang,

Chen

2023

Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023)

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In ship transportation systems, various equipment requires periodic inspection to ensure the safe operation of the ship's engine room. Presently, professionals perform these inspections by checking off items on an inspection checklist and recording the status of each equipment item. However, this approach faces issues such as difficulty in the long-term preservation of paper records and an inability to effectively use them for fault data analysis, along with a lack of supervision, leading to missed inspections. To address these challenges, this paper presents a ZigBee technology-based data monitoring approach and fault intelligent diagnosis system that leverages the Internet of Things. This solution aims to enhance the efficiency and reliability of periodic inspections of ship engine rooms.

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