The Study of IOT Architecture for Steel Strip Production Process

2012 ◽  
Vol 572 ◽  
pp. 364-370 ◽  
Author(s):  
Zhi Guo Liang ◽  
Quan Yang ◽  
Ya Dong Wan ◽  
Fei He ◽  
Xiao Chen Wang ◽  
...  
Keyword(s):  
Production Process ◽  
Network Architecture ◽  
Steel Strip ◽  
Steel Production ◽  
Intelligent Manufacturing ◽  
Wireless Sensor ◽  
Initial Stage ◽  
Internet Of Things Technology ◽  
Industrial Wireless Sensor Network ◽  
Strip Production

Nowadays, IOT (Internet of Things) technology for the future intelligent manufacturing is still in its initial stage. In steel production, especially in steel strip production process, the research on how to construct IOT architecture is lack of research. This paper focused on the construction of IOT in steel Strip production process and analyzed the development of the industrial wireless sensor network standards. Based on the requirements of industrial networking monitoring in steel strip production process, this study proposed a feasible IOT network architecture for steel strip production process, which provided the basis for promoting further application of IOT technology in steel flat production process.

Factors Affecting the Decision to Apply Material Flows Cost Accounting MFCA in Thai Nguyen Steel Production Enterprises

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Nguyen Thi Kim Huyen
Keyword(s):  
Production Process ◽  
Environmental Performance ◽  
Steel Production ◽  
Cost Accounting ◽  
Environmental Accounting ◽  
Production Costs ◽  
Accounting System ◽  
Material Flows ◽  
Factors Affecting ◽  
Legal Documents

Applying the Material Flows Cost Accounting method in Thai Nguyen steel enterprises is one of the solutions to improve the efficiency in the production process, using input materials, and environmental performance, as well as to measure more correctly the production costs based on the change of the price calculation basic. Identifying the factors which affect the decision on applying MFCA to the accounting process of Thai Nguyen steel production enterprises by a direct survey is carried out with 119 accountants and managers working at 13 steel enterprises. The results show that applying MFCA to the accounting process in these enterprises depends on the strategies, capacities, the accounting system of those enterprises, and the system of legal documents related to environmental accounting.

THEORY ANALYSIS ON THE NEW GENERATION OF CLEAN STEEL PRODUCTION PROCESS

2012 ◽  
Vol 48 (1) ◽  
pp. 1 ◽  
Author(s):  
Kuangdi XU ◽  
Lijun XIAO ◽  
yong GAN ◽  
Liu LIU ◽  
Xinhua WANG
Keyword(s):  
Production Process ◽  
Steel Production ◽  
Theory Analysis ◽  
Clean Steel ◽  
New Generation

A Wireless Sensor Network Innovative Architecture for Ambient Vibrations Structural Monitoring

2014 ◽  
Vol 628 ◽  
pp. 218-224 ◽  
Author(s):  
Konstantinos Oikonomou ◽  
George Koufoudakis ◽  
Eleni Kavvadia ◽  
Vassilios Chrissikopoulos
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Architecture ◽  
Wireless Systems ◽  
Wireless Sensor ◽  
Structural Monitoring ◽  
Ambient Vibrations ◽  
Historical Buildings ◽  
Wireless System ◽  
Monitoring Technologies

Wireless sensor networks can be beneficial for monitoring ambient vibrations in historical buildings where the installation of traditionally wired system may be either difficult due to wiring difficulties or forbidden due to prohibitive legislation. In this paper, a novel wireless sensor network architecture is presented that is focusing on efficiently monitoring ambient vibrations in historical buildings. Traditional wired monitoring technologies are often difficult to be installed in historical buildings either to high costs for installing the wires or to prohibitive legislations. Employing a wireless system could be beneficial. However, as there is no wireless system of high resolution available in the market, an innovative network architecture is proposed that efficiently combines the benefits of both the wired and wireless systems. The problem of synchronization that this novel architecture introduces, is also discussed in this paper along with a possible solution.

scholarly journals An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection

2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Forest Fire ◽  
Forest Fires ◽  
Network Architecture ◽  
Resource Constraints ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Fire Monitoring

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.

scholarly journals Research on 5G-Oriented Wireless Sensor Array of Millimeter Hybrid Beam Sensing Terminal

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shengli Yan
Keyword(s):  
Channel Estimation ◽  
Millimeter Wave ◽  
Rapid Development ◽  
Mobile Internet ◽  
Projection Algorithm ◽  
Wireless Sensor ◽  
Digital Beamforming ◽  
Hybrid Beam ◽  
Hybrid Beamforming ◽  
Internet Of Things Technology

With the rapid development of information technology, facing the problems and new challenges brought by mobile Internet and Internet of things technology, as one of the key technologies of 5G, millimeter-wave mobile communication (28/38/60/70 GHz) which can realize gigabit (GB/s, or even higher) data transmission rate has also attracted extensive attention of wireless researchers all over the world, it has quickly become a research hotspot in the field of wireless communication. In the millimeter-wave massive MIMO downlink wireless sensor system, a block diagonal beamforming algorithm based on the approximate inverse of Neumann series is improved to obtain complete digital beamforming. Then, when designing hybrid beamforming, channel estimation and high-dimensional singular value decomposition are required for traditional analog and digital hybrid beamforming. A low complexity hybrid beamforming scheme is designed. An improved gradient projection algorithm is proposed in the design of analog beamforming, which can solve the problem of high computational complexity and less damage to guarantee and rate. Simulation results show that the hybrid beam terminal of the sensor reduces the number of RF links required for full digital beamforming and is as close to the spectral efficiency performance of full digital beamforming as possible. The results show that the performance of the designed hybrid beamforming scheme can still be close to that of the pure digital beamforming scheme without involving channel estimation and SVD decomposition.

scholarly journals Model for Predicting the Machinability of Continuously Cast and Subsequently Rolled Steel Using the Artificial Neural Network

2021 ◽  
Vol 15 (3) ◽  
pp. 381-386
Author(s):  
Miha Kovačič ◽  
Shpetim Salihu ◽  
Uroš Župerl
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Production Process ◽  
Chemical Elements ◽  
Cast Steel ◽  
Model Development ◽  
Cutting Speed ◽  
Steel Production ◽  
Continuously Cast ◽  
Artificial Neural

The paper presents a model for predicting the machinability of steels using the method of artificial neural networks. The model includes all indicators from the entire steel production process that best predict the machinability of continuously cast steel. Data for model development were obtained from two years of serial production of 26 steel grades from 255 batches and include seven parameters from secondary metallurgy, four parameters from the casting process, and the content of ten chemical elements. The machinability was determined based on ISO 3685, which defines the machinability of a batch as the cutting speed with a cutting tool life of 15 minutes. An artificial neural network is used to predict this cutting speed. Based on the modelling results, the steel production process was optimised. Over a 5-month period, an additional 39 batches of 20MnV6 steel were produced to verify the developed model.

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