Accelerating the Industrial Internet of Things
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Siemens Case Studies Optima As a Pilot Customer for Innovative Transport System

Optima As a Pilot Customer for Innovative Transport System

Siemens
Optima As a Pilot Customer for Innovative Transport System
Optima As a Pilot Customer for Innovative Transport System
Optima As a Pilot Customer for Innovative Transport System
Optima As a Pilot Customer for Innovative Transport System
Equipment & Machinery
Product Development
Production - Manufacturing
Optima wanted to create a seamless digital process chain, starting with product and machine design and continuing through the engineering right on to production automation and increase the production flexibility.
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OPTIMA consumer GmbH manufactures and supplies dosing, filling, closing, and packaging machines in Germany and internationally.
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The multi-carrier-system developed jointly by Siemens and Festo is presented as the solution.
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IOT
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Cutting Edge (technology has been on the market for < 2 years)
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System Flexibility - Ongoing application development and improvements are relatively quick and inexpensive to implement due to the system's flexibility.
Time-to-Market - Programming time, production time, and installation time are shortened during the introduction of new products.
System Flexibility - Ongoing application development and improvements are relatively quick and inexpensive to implement due to the system's flexibility.
Hardware
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Hardware that enables dual directional communication for data collection and control message delivery. Examples include cellular, Ethernet, and Wi-Fi.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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