Intelligent Monitoring Network Construction based on the utilization of the Internet of things (IoT) in the Metallurgical Coking Process

Gan, Jianhou; Wang, Xingchao; Zhou, Juxiang; Tang, Lin; Yuan, Liang

doi:10.1515/phys-2018-0083

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…e main focus is on the improvement of the quality of life, the optimization of living environment, and the vigorous construction of infrastructure. It is not only a population gathering, but also an industrial gathering and adequate supply of urban facilities [19]. In the process of urbanization, urbanization is the key initial stage.…”

Section: Optimizing Economic Development Pathmentioning

confidence: 99%

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Jiao

2022

Security and Communication Networks

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The Internet of things is a network that can realize the information interaction between all independent inanimate objects. It is a network that allows people to experience how to talk with objects. Its emergence is a milestone of world information technology. With the development of the Internet of things, more and more research is carried out on the basis of the Internet of things, and the economic development of the western region should seize the opportunity of the Internet of things and find a suitable development path. This paper mainly studies the optimization of the economic development path of the western region under the background of the “the Belt and Road” to help the western region develop rapidly. This paper puts forward the interactive development path of industrial clusters and new urbanization. Through the simulation data, the total GDP and per capita GDP of the western region in the next few years are analyzed and summarized. The data show that under this method, the total GDP and per capita GDP of the western region will increase by more than 30% every year in the next five years, and will continue to rise.

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Section: Optimizing Economic Development Pathmentioning

confidence: 99%

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Jiao

2022

Security and Communication Networks

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“…The broadband wireless network system uses a 4G wireless base station network [48]. The narrowband wireless network system includes two kinds of field devices: sensors and a ZigBee base station [49]. The sensors are responsible for monitoring the motion and location signals from the field equipment.…”

Section: Proposed Methods a Construction Of Digital Model Of Shementioning

confidence: 99%

A Predictive Maintenance Method for Shearer Key Parts Based on Qualitative and Quantitative Analysis of Monitoring Data

2019

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Appropriate predictive maintenance is critical to shearers under poor working conditions to prevent major safety accidents and casualties. A predictive maintenance method for shearer key parts based on qualitative and quantitative analysis of monitoring data is proposed. Firstly, a high-fidelity model and hyper-realistic behavior simulations of the shearer key parts are implemented based on offline monitored data and online monitoring data, the obtained position, posture, trajectory and other information can be used for qualitative analysis. Subsequently, an autoencoder (AE) combined with a deep bidirectional gated recurrent unit (bi-GRU) prediction model is constructed to predict the RUL based on online monitoring data for quantitative analysis. The adjusted_R 2 value obtained for the deep bi-GRU model was 0.9916, determined in a model-accuracy verification test. Finally, taking the rocker arm of shearer as an example, its working status is visualized using digital mirror from physical space to virtual space, and then its RUL is predicted based on the AE bi-GRU prediction model. The decision-making that guides predictive maintenance can be obtained based on the synthesis of qualitative and quantitative analysis. The application test results demonstrate that the proposed method can be effective for improving the intelligence of predictive process and the accuracy of predictive results. INDEX TERMS Predictive maintenance, shearer key parts, qualitative and quantitative analysis, monitoring data, digital model, AE bi-GRU.

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“…These limitations primarily include insufficient assessment indicators, oversimplified method designs, and relatively subjective assessment results. For instance, the research conducted by Jianhou Gan et al [1] introduced an intelligent monitoring network for coking processes based on Internet of Things (IoT) technology in Zigbee mesh cluster networks, which focused mainly on forming a perception layer network. Although this study provided a new perspective for monitoring the coking process, it was mainly limited to the construction of the perception layer and failed to consider a multidimensional set of safety assessment indicators comprehensively, resulting in a less comprehensive assessment system.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks

Bai,

Chen

2024

Sustainability

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Security assessment of ironmaking plants is one of the crucial means to promote their sustainable development. However, the disparate nature of subsystems within these plants, along with network inconsistencies and isolated data, obstruct a thorough and timely security assessment. At the same time, it is impossible to achieve the sustainable development goals of reducing the adverse impact of safety on the environment, ensuring economic benefits and the health of employees. This study addresses the complexities of heterogeneous networks, disparate systems, and segregated data that are prevalent in traditional ironmaking plants; and a method to reconstruct the plant’s network and execute security assessments is proposed. This method involves coupling existing systems with new ones to create comprehensive data and resource pools by aggregating information from diverse sources. Subsequently, employing multiple regression models and optimized neural network models at the edge and central cloud facilitates dynamic assessment of security concerns. This method enables concurrent consideration of both regional and overall security analysis and decision-making within the plant. Through simulation testing of 27 functionalized module indicator datasets over the preceding 12 months at a specific ironmaking plant, the efficacy of the proposed theoretical methods and technological approaches in constructing security systems for ironmaking plants is substantiated.

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Intelligent Monitoring Network Construction based on the utilization of the Internet of things (IoT) in the Metallurgical Coking Process

Cited by 7 publications

References 5 publications

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things

A Predictive Maintenance Method for Shearer Key Parts Based on Qualitative and Quantitative Analysis of Monitoring Data

A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks

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