Accelerating the Industrial Internet of Things
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Number of Case Studies16
IIC - Smart Factory Web Testbed
IIC - Smart Factory Web Testbed
The Smart Factory Web aims to form a network of smart factories with flexible adaptation of production capabilities and sharing of resources and assets to improve order fulfillment. Key questions are: How can we connect factories to the Smart Factory Web and exchange data reliably? How can we provide the information securely at the right granularity to authorized partners? How can production capabilities be adapted quickly and efficiently in response to orders?
Smart Manufacturing for Better Competitiveness
Smart Manufacturing for Better Competitiveness
AIWA was having challenges in monitoring and optimizing energy efficiency of an entire set of different machines managed by Smart Factory Advisor, balancing of machine work loads of the productive capacity of each processing machine in the production, and collecting data to optimize electricity purchases polices for the forthcoming energy liberalization.
A Reliable Power Control Automation System for a Steel Factory
A Reliable Power Control Automation System for a Steel Factory
One of the largest steel factories in China needed proper communication control units for data processing and protocol conversion with the devices at remote field sites. These computers would replace the IPCs and can easily create a distributed system at the front-end site with a centralized management platform at the back-end control center. This stainless steel factory has deployed a power substation system that contains several subsystems. Each subsystem uses smart meters, and needs to optimize resources, centralize management, and enhance efficiency. In addition, all distributed smart meters at the field site need to be centrally monitored and managed by a system called the “CCMS3000 central management system”, located at the control center. Each 35KV/10KV substation communicates with the back-end server via Intranet, and manages the centralized management and monitoring of the 35KV/10KV. The entire system aims to optimize the power network management and maintenance cost, enhance power distribution quality and management, and deliver real-time discovery, analysis, recording, and handling of problems. The CCMS300 central management system is expected to bring reliability to real-time monitoring of the operation status of all devices at the substations. It needs to perform several tasks, such as analyzing historical workload, power consumption, and system balance, as well as enhance system or device operation efficiency. This system includes four subsystems: Factory 1: Main Station: A communication cabinet includes a telecommunication control unit (DA-662), a switch, 2 optical transceivers, and communication units. Station C: A communication cabinet includes a serial device server (NPort 5430), an optical transceiver, and communication units. Station D: A communication cabinet includes a serial device server (NPort 5430), an optical transceiver, and communication units. The telecommunication control unit (DA-662) is responsible for collecting and controlling all data from stations A, B, C, D, E, and the water station from Factory 1. Factory 2: Main Station: A communication cabinet includes a telecommunication control unit (DA-662), and various communication units. This DA-662 is responsible for collecting and controlling all data from stations G, K, and the water station from Factory 1. Hot-rolled Factory: Main Station: A communication cabinet includes a telecommunication control unit (DA-662), a switch, an optical transceiver, and communication units. Substation: A communication cabinet includes a serial device server (NPort 5430), an optical transceiver, and communication units. The DA-662 is responsible for collecting and controlling all data from the hot-rolled factory and the hot-rolled water station. Cold-rolled Factory: Main Station: A communication cabinet includes a telecommunication control unit (DA-662), a switch, an optical transceiver, and communication units. Substation: A communication cabinet includes a serial device server (NPort 5430), an optical transceiver, and communication units. The DA-662 is responsible for collecting and controlling all data from the cold-rolled factory and the cold-rolled water station. The communication between the DA-662 and the back-end server is based on the TCP/IP IEC 106 protocol. System Requirements • Centralized and stable management platform for the distributed system • Front-end data processing for the field site devices • Protocol conversion among Modbus, DLT645, and TCP/IP IEC 104 • Redundant network architecture for continuous system operation • Easy integration with other communication system • Long MTBF to enhance system reliability
Number of Suppliers48
TEAM
TEAM
We provide:• Solution Ready Industry 4.0 Smart Factory Complete System• Manufacturing Intelligence to enhance productivity• Integration of Machine Controls (PLC/DCS), Corporate Data (ERP/CRM) and Energy • Management System (EnMS)• Supply Chain Monitoring And Analysis System for real-time decisions and flexibility• Trace & Track System with Machine Vision
Corlina
Corlina
Corlina has developed the Smart Factory System of Trust to fill a gap in the IIoT ecosystem, delivering a simple yet powerful way for smart manufacturers to profile, manage, and monitor the performance of connected devices, ensuring data integrity and operational system security. Unlike complex solutions that require new or specialized hardware and costly services to install, Corlina offers an easy to use, self-service SaaS solution that can be installed, monitored, and managed remotely from any location, anywhere in the world.Located in the heart of Silicon Valley, Corlina is led by a founding team with deep expertise building successful scalable networking, SaaS, security and industrial businesses, and teammembers who have executed from the ground floor to multiple exits.
Shenzhen Aerospace Innotech Corporation
Shenzhen Aerospace Innotech Corporation
Haibaosoft is a specialized manufacturer of "cloud + client + application" ,"smart factory" products based on integration of Industry 4.0 hardware and software development and information system integration of high-tech companies, helping manufacturing companies achieve digital product life cycle, transparent, visual, real-time, network-based, collaborative and intelligence.
Number of Use Cases4
Factory Operations Visibility & Intelligence
Factory Operations Visibility & Intelligence
Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.  
Manufacturing System Automation
Manufacturing System Automation
An automated manufacturing system is the total integration of software and machinery used to create a system that performs manufacturing processes autonomously through computer programming.Without automated manufacturing systems, factory output would be vastly reduced, production would be very time consuming, working conditions would be less safe and quality control would be extremely difficult. Employees would need to work twice as hard to achieve in a day what they can now achieve in an hour with automated industrial systems. 
Track and Trace for Industrial Tools & Assets
Track and Trace for Industrial Tools & Assets
Track and trace for industrial tools refer to systems capable of recognizing and reporting the location and status of tools in a facility. Today's production of industrial and consumer goods requires exacting work. Precise application of pressure or torque is required in many industries and operator errors can cause costly defects. Track and trace technology can improve production safety, quality, and productivity.The goal of ‘Track and Trace’ is to manage handheld power tools in manufacturing and maintenance environments more efficiently.Asset tracking is currently done via barcode and a variety of manual steps in most cases. However, new solutions leveraging smart tags, near-field communication (NFC), and RFID are coming to market to globally track all varieties of objects in real time. 
Number of Terms5
Smart Factory
Smart Factory
A smart factory is a learning factory, where people leverage data and technology constantly. Essentially, it’s implementation of Industry 4.0 technology.
Industrial Internet of Things (IIoT)
Industrial Internet of Things (IIoT)
Internet of things technologies, processes, and business models applied to industry (B2B).
Industrie 4.0
Industrie 4.0
Industry 4.0, Industrie 4.0 or the fourth industrial revolution, is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing. The term "Industrie 4.0" originates from a project in the high-tech strategy of the German government, which promotes the computerization of manufacturing.Invoking a fourth Industrial Revolution, Industrie 4.0 creates intelligent manufacturing networks where decentralized smart factories can communicate and react to each other autonomously.Industry 4.0 creates what has been called a "smart factory". Within the modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and with humans in real time, and via the Internet of Services, both internal and cross-organizational services are offered and used by participants of the value chain.
16 Case Studies
48 Suppliers
7 Events
4 Use Cases
5 Terms
3 Guides
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