Abstract: The internet now connects a network of interconnected objects to create a smart environment characterized by the term Internet of Things. To modernize the traditional manufacturing system as digitalized through loT adoption in . manufacturing and generate significant economic opportunities by industrial re¬shaping, the new data-driven strategy empowers the industries to be more . advanced in all possible productive^ aspects. The future advanced 5G wireless ; transmission technology has significant potential to promote II6T and. cyber-physical manufacturing systems (CPMS). Here, we proposes the architecture of 5G-based Hot and the implementation methods of different advanced manufacturing scenarios and application modes of 5G, I.e., enhance mobile broadband (eMBB), massive machine type communication (mMTC), ultra-reliable and low latency communication. Fig. 1 The architecture of 5G-based IIoT for smart manufacturing.
SMART MANUFACTURING USING INDUSTRIAL IOT IN 5G
ENVIRONMENT
FIELD AND BACKGROUND OF THE INVENTION
The modern age of technology is researching beyond the universe and identifies new galaxy, the human live getting easier in all possible aspects. The automation of machines and wheels has lead the human life to hew world. The automation also automated the giant manufacturing industries which are now looking into Interriet^of-Things driven industrial unit for easy access of information and decide smart on any aspect without halting the manufacturing process. The manufacture industry now peering the 5G technology to assist the manufacturing process right from the invention till the.product deliverance. The need for 5G is to track and automate every detail of the unit and transmit the detail when any mishap occurs. The data tracked for long time enabjes the management to decide smart on the issue identified without affecting the process and production which
. impacts the industrial image. The loT driven network supported data transmission is getting much, progress under research and development of the industrial activities. The 5Gwireless technology provides seamless data transmission on a large scale with low latency. The important challenge of data transmission and huge.connectivity for the entire unit is addressed through various small antennas.
. The data transmission also demands secure reliable network to ensure the lot driven manufacturing task succeed which is.done through 5G in every state of action. The real-time decision making and implementing can be organized through 5G network that is dedicated for this purpose.
SUMMARY OF THE INVENTION
The modern manufacturing industry demands the smart manufacturing opportunities to enable the technological advancement, application. The application of previous technologies has few drawback hindering the aim. of smart manufacturing. The unit runs 24*7 and produces the most valuable goods and products that has to be monitored every minute and recorded for future decision making. Any bit of data stored can be used effectively, to decide smart on the production process. The defect noted from the machines also provokes the defect correcting mechanism to be followed without, any adherence to human intervention which creates space for immediate action without awaiting human approval. This saves the. machine time and energy. It has to be implemented by 5G wireless technology that is more compatible with hybrid network devices/ secure, reliable, larger connectivity and low latent network to be implied upon The 5G provides enhanced Mobile Broadband service to give best communication and performance than the existing broadband service providers. The data here . saved as streaming data video with high definition leading to augmented and. virtual reality, The AVR is implemented in many discrete industrial needs. The massive machine communication is to interconnect every devices and machines of the unit and collect data and to transmit through the 5G network. The highly reliable low latent communication needed here to ensure communication quality. The data transmitted needs to be accurate and reliable as requested in other communication technologies.
BRIEF DESCRIPTION OF THE SYSTEM
With the advanced technologies in manufacturing like big data, Internet-of-Things (loT), cloud computing,: edge computing, . digital twin, advanced sensing technology, service-oriented technology, the current, manufacturing industry promotes itself in leaps andbounds to reach the smart manufacturing techniques. Every manufacturing unit requires huge physical space, production plan, optimised shop-floor layout, scheduled production and inventory management. To realize smart management in such a huge manufacturing industry CPMS is designed. CPMS relies on data.modeling, integration, fusion, simulation, analysis and decision in manufacturing cyber space to realize high-fidelity synchronization of manufacturing process between manufacturing physical and cyber space based on the advanced data sensing and transmission technologies achieved through Industrial loT.. HoT architecture can sense all heterogeneous factors in shop-floor like machines, material, workers and environment and manufacturing data which can be transmitted in real time. Thus smart interconnection of all heterogeneous shopfloor production factors is achievable. The manufacturing data thus collected in shop-floor used to make smart analysis ranging from production equipment wear and tear assessment and forecasting, product quality and reliability analysis, production task scheduling and forecasting, and production process optimization. With the development of CPMS, the key issue, can be described as of implementing HoT in order to realize the convergence of manufacturing physical space and cyber space with automation, smart interconnection, real-time monitoring, and collaborative control. Here, we find an urgent need for an advanced mobile communication technology with high transmission rate, low latency, high coverage, large node capacity and high security, to meet the communication demands in Transmission layer and application layer of smart workshop, arid promote the application of advanced manufacturing technologies; This would results in machine vision, virtual reality, augmented reality, digital twin shop-floor, human-machine . collaboration, arid machine-machine . collaboration.The loT driven manufacturing industry necessitates the real-time uninterrupted monitoring, collecting data of equipments, operation, process, production and quality checking report recorded through cloud computing and service-oriented.technologies to achieve augmented and virtual reality. The 56
technology uses 60 GHz millimeter carrier wave to attain high transmission and bandwidth consumption.
; Description of the proposed system
The manufacturing industry has evolved from hand-driven wheels to robotic arms. The modern manufacturing industry drives towards cyber-physical based manufacturing system to achieve production factor configuration, inventory management and production scheduling. This would impact the real-time and hjgh fidelity synchronization of manufacturing process and provide highly secure, reliable, large network with high transmission rate and low latency these are the most challenging.demands of this proposed system.
The application of such features would enable machine vision, virtual and Augmented reality, digital twin shop floor with human-machine and machiner machine interaction. The modern wireless technology 5G is much.advantageous than 4G through user defined network infrastructure, C-RAN(Cloud Radio Access Network Architecture), user plane and control plane splitting providing better communication competency, data transmission rate, less delay in end-to end transmission.The specific advantageous, features of 5G include the enhanced mobile broadband service1 which provides real-time monitoring of manufacturing equipment and find any defects with higher accuracy, this would help the quick response or emergency, handling process to serve the defective equipment and keep the manufacturing task run. The basic blueprint.of manufacturing industry is designing; assembling, processing, maintenance can be highly effective through 5G's virtual and augmented reality technique:
The Industrial loT driven manufacturing industry is bound to handle huge amount of equipment and process oriented data which are sensed through various . antenna in SG network. The.challenge of this task is handling the heterogeneous network with multiple.unique devices and network. The Neighbor:Aware Multiple Access protocol designed to be compatible with different load and connectivity . size. From the available and identified techniques harrow-band loT supports large-scale connections, highly stable, secure, reliable, low cost scenario for handling multiple unique devices in heterogeneous network of any manufacturing unit. The spatial division multiple access technique improves the antenna efficiency through frequency transmitter and receiver reuse. The use of C-RAN with other heterogeneous network improves the loT efficiency to remote ce-ll
areas of manufacturing unit. Thus the 5G wireless communication technology results in bandwidth and. energy .'saving-to meet the massive machine node communication requirement of intelligent manufacturing process.
The smart manufacturing demands highly smart production line and shop-floor with better transmission rate, less latency and higher reliability. The implementation necessitates heterogeneous data collection, production factor . . identification, man-machine interaction, automated vehicle interaction, digital twin shop-floor communication, product manufacturing, maintenance through augmented and virtual reality. This data transmission would demand seamless connection with manufacturing process and develop streaming media data of huge volume imposing higher transmission rate and low latency on the network quality. The 5G technology based on C-RAN and SDN architectureprbvides loose couple between control plane and data.plane thus achieving data transmission efficiency in bidirectional communication scenario.
The automated manufacturing unit requires the highly accurate ordered instruction" in case of assembling and production. The latest development of smart machine includes motion control which stops when human safety is threatened in case of manual handling of machine parts and start production when machine and its part appropriate to perform. The automated guided vehicles used in every manufacturing is designed to identify other vehicles and battery level to operate and find the charger if necessary. This is done through SDMA providing large number of small antennas arid use multi-beamforming technique to reduce interference of co-channel and enhance link quality to . transmit reliably.
the big data technology implied here to analyse the machine health i.e wear and
tear, equipment status checking, material tracking, smart scheduling through
optimized planning; product quality analysis and. defect correction results in huge
records of data collection arid processing for unlimited time to identify and
analyse any mishap.at the earliest: with the root, cause. The 5G technology .
dedicated for high reliable, secure data transmission thus implemented in such
. industry. .
The cloud computing technology applied in smart manufacturing provides anywhere anytime access of data collected through its abundant resource deployed in the cloud network. This helps the management to decide smart on the manufacturing process without any lag in production or any prolonged defect in machines. ,
We claim:
1. The proposed 5G technology in manufacturing unit enable the highly, reliable and secure data transmission covering the entire unit with better . connectivity over the heterogeneous network devices and equipment.
2. The 5G technology application in real-time monitoring of manufacturing unit provides better transmission rate and bandwidth with low latency,
3. The edge computing technique achieved through 5G take control oyer the data flow between terminals and servers.
4. Muiti-beamforming technique of 5G supports less energy consumption among the devices in the network.
| # | Name | Date |
|---|---|---|
| 1 | Form9_Earlier Publication_21-11-2019.pdf | 2019-11-21 |
| 2 | Form2 Title Page_Complete_21-11-2019.pdf | 2019-11-21 |
| 3 | Form1_As Filed_21-11-2019.pdf | 2019-11-21 |
| 4 | Form18_Normal Request_21-11-2019.pdf | 2019-11-21 |
| 5 | Drawing_As Filed_21-11-2019.pdf | 2019-11-21 |
| 6 | Description Complete_As Filed_21-11-2019.pdf | 2019-11-21 |
| 7 | Claims_As Filed_21-11-2019.pdf | 2019-11-21 |
| 8 | Abstract_As Filed_21-11-2019.pdf | 2019-11-21 |
| 9 | abstract201941047518.jpg | 2019-11-26 |
| 10 | 201941047518-FER.pdf | 2021-10-17 |
| 1 | 2021-03-2815-30-25E_28-03-2021.pdf |