Accelerating the Industrial Internet of Things
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Number of Case Studies14
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.
Automatic Vision Inspection Solution for Product Traceability
Automatic Vision Inspection Solution for Product Traceability
With greater market demand for food safety, traceability is receiving increasingly more attention in the food and beverage industry as well as the packaging industry. One of the world's leading providers of beverage containers required a system to identify bar codes and alphanumeric characters on ink-jet-printed labels at a run rate of 7 units and minimum 99.9% accuracy. Since there were few engineers in the factory, the customer sought to implement a reliable system with an easy-to-use GUI for workers with a less technical background.
Number of Suppliers47
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 Cases5
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.
Machine Condition Monitoring
Machine Condition Monitoring
Early predictions on equipment malfunctions and service maintenance can be automatically scheduled ahead of an actual part failure by installing sensors inside equipment to monitor and send reports.Machine condition monitoring is used to determine the condition of a machine with the intent to forecast mechanical wear and failure. The predicted data provides health information of the machine and helps to predict machinery failure. The monitoring equipment tracks changes in temperature, vibration, and output of machines in order to detect imbalance, corrosion, wear, misalignment, sediment build-up, or poorly lubricated parts. Condition monitoring has gained importance in line with increased company focus on productivity and asset utilization. The need for eliminating unnecessary maintenance costs and catastrophic breakdowns in production processes is expected to continue to drive the adoption of condition monitoring solutions. The global machine condition monitoring market can be divided on the basis of products, applications, and components. On the basis of products, the global machine conditioning monitoring market can be segmented, into thermography equipment, vibration monitoring equipment, corrosion monitoring equipment, ultrasound emission equipment, lubricating oil analysis equipment, and motor current signature analysis equipment.The vibration-based condition monitoring equipment holds the leading place amongst all condition-based maintenance technologies. On and off-line vibration monitoring is extensively used by industries to perform continuous production processes. In addition to vibration monitoring, other techniques used for machine condition monitoring are wear analysis, thermography, performance monitoring, degradation by products, and physical testing.Types of Machine Condition MonitoringEach of the five main varieties of machine condition monitoring serves a different role.Route-Based Monitoring - Route-based monitoring involves a technician recording data intermittently with a handheld instrument. This data is then used for trending to determine if more advanced analysis is needed.Portable Machine Diagnostics - Portable machine diagnostics is the process of using portable equipment to monitor the health of machinery. Sensors are typically permanently attached to a machine and portable data acquisition equipment is used to read the data.Factory Assurance Test - Factory assurance test is used to verify that a finished product meets its design specifications and to determine possible failure modes of the device.Online Machine Monitoring - Online machine monitoring is the process of monitoring equipment as it runs. Data is acquired by an embedded device and transmitted to a main server for data analysis and maintenance scheduling.Online Machine Protection - Online machine protection is the process of actively monitoring equipment as it runs. Data is acquired and analyzed by an embedded device. Limit settings can then be used to control turning on and off machinery.Key vendors: Emerson, GE, Honeywell, Rockwell Automation
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.
14 Case Studies
47 Suppliers
7 Events
5 Use Cases
5 Terms
3 Guides
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