The Sensor Network for Multi-agent System Approach in Smart Factory of Industry 4.0 (original) (raw)
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International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019
The development of Business 4.0 and the growth of the informed generation point thought, the traditional thinking of building frameworks can change. Internet of Points (IoT) is easily increasing innovation. IoT is the device of bodily posts or points put with tools, coding, devices, and program system, which empowers these materials to get and industry information. As maybe it's managed from wherever of the entire world with internet accessibility applying a lightweight software, it'd decline the individual money needed to perform an industry. It'd assistance with the managing of the building types, finding of the error in the platform and managing of the era charge depending on the buyer intrigue. Furthermore the usage of current tests for government organized contemporary communication platform by OPC-UA and for semantic data industry via AutomationML allows current plans to knowledge the necessary accessibility and interoperability for astute co-task that may admit self-X volumes of shrewd running plants.
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Journal of Interdisciplinary Cycle Research, 2020
Industry 4.0 is all about digitization. Digitization is radically changing the face of manufacturing in the world. Basically Industry 4.0 is amalgamation of various emerging technologies in making factories smarter and custom centric. It is necessary to build the smart factories to upgrade the entire manufacturing process with digitalization of factory. This revolution will have similar effect on our entire society as the steam, electricity and the computerization. In view of above background, the system design and architecture of demo unit for remote product monitoring system on conventional lathe machine is implemented. In addition to that, the key technologies are discussed and analyzed such as industrial internet of things, data analytics and smart sensors. Finally, the machine utilization is mainly monitored as overall equipment efficiency that is the measure of productivity, availability and quality. Whereas productivity is the total number of jobs produced, availability which is the uptime and the quality which can be counting rejections. This is a demo kit which can be used to demonstrate industry 4.0 concepts for sensitization of students.
Internet of Things in Automated Production
European Journal of Engineering Research and Science, 2017
Industry 4.0 is being presented as the fourth industrial revolution in which intelligent machines, advanced sensors, and smart logistic networks and suppliers will be connected to the internet of things. Such an intelligent network would create a cyber-physical system that scan store all of the supply chain data in the cloud and allow access to these data through different devices connected to the internet. Thus, the factory of the future could be established. This project proposes the creation of a manufacturing cell at the shop floor level based on the concepts of Industry 4.0. The effects on production of industry 4.0 emerging with this mind is very important. Therefore, the impacts in production of industry 4.0 are examined in this paper.
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The Internet of Things (IoT) is playing a significant role in the transformation of traditional factories into smart factories in Industry 4.0 by using network of interconnected devices, sensors, and software to monitor and optimize the production process. Predictive maintenance using the IoT in smart factories can also be used to prevent machine failures, reduce downtime, and extend the lifespan of equipment. To monitor and optimize energy usage during part manufacturing, manufacturers can obtain real-time insights into energy consumption patterns by deploying IoT sensors in smart factories. Also, IoT can provide a more comprehensive view of the factory environment to enhance workplace safety by identifying potential hazards and alerting workers to potential dangers. Suppliers can use IoT-enabled tracking devices to monitor shipments and provide real-time updates on delivery times and locations in order to analyze and optimize the supply chain in smart factories. Moreover, IoT is a powerful technology which can optimize inventory management in smart factories to reduce costs, improve efficiency, and provide real-time visibility into inventory levels and movements. To analyze and enhance the impact of internet of thing in smart factories of industry 4.0, a review is presented. Applications of internet of things in smart factories such as predictive maintenance, asset tracking, inventory management, quality control, production process monitoring, energy efficiency and supply chain optimization are reviewed. Thus, by analyzing the application of IoT in smart factories of Industry 4.0, new ideas and advanced methodologies can be provided to improve quality control and optimize part production processes.
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The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and represents the digital transformation of manufacturing, has a significant impact on society, industry, and other production sectors. The industrial scene is witnessing ever-increasing pressure to improve its agility and versatility to accommodate the highly modularized, customized, and dynamic demands of production. One of the key concepts within Industry 4.0 is the smart factory, which represents a manufacturing/production system with interconnected processes and operations via cyber-physical systems, the Internet of Things, and state-of-the-art digital technologies. This paper outlines the design of a smart cyber-physical system that complies with the innovative smart factory framework for Industry 4.0 and implements the core industrial, computing, information, and communication technologies of the smart factory. It discusses how to combine the key components (pillars) of a smart factory to ...
Designing Intelligent Factory: Conceptual Framework and Empirical Validation
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This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time visualization of key performance indicators (KPI's) and supports M2M communications over novel protocols like OPC-UA. Our model covers the industrial manufacturing cycle right from capturing raw data at machine level, converting it into useful information, doing semantics analysis and performs real time KPI visualization.
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Journal of emerging technologies and innovative research, 2021
The industrial internet of things (IIoT) describes a network of things or objects for connectivity used mainly for industrial purposes. IIoT refers to the extended branch of IoT that is specifically engaged with the industry [1]. The IIot refers to industrial applications. The principle of IoT and IIoT they both work in the same way. They both connect the devices to the internet and make them smarter. All the technology companies have developed new innovative technologies which are extended. From this process, the basic idea can be given by the name of our project. In this project, we are also handling the same aspects which are related to control panels, developing modules and monitoring on web portal with the help of the industrial internet of things.
Smart factory for future industry development
IAES International Journal of Robotics and Automation (IJRA), 2023
The paradigm of the smart factory is thought of as an innovative outline for the fourth industrial revolt. The GLOVA G7-DR20U is set as a programmable logic controller (PLC) for monitoring the performance of the smart factory while using the NodeMCU-V3 esp8266 as the internet of things (IoT) board for interaction between managers and the factory using the personal digital assistant (PDA) programming that has been written in the RabitMQ platform. The program logged inner PLC by applying ladder language for monitoring the performance of PLC. With the completion of intelligent PLC, it is likely to extend the existing making capability in the factory with simplicity. This work joins a PLC used as a parent control unit, apps, user programs, and human-machine interface, with the Internet. The proposed model of the smart factory holds two motors one for the parallel drive and the other for the upright drive. While running the system, we observe that the proposal is working correctly, and the reply to the interaction method via IoT is excellent.