Accelerating the Industrial Internet of Things
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PTC Case Studies Transformation for IoT Business Model in Connected Industrial Vehicles

Transformation for IoT Business Model in Connected Industrial Vehicles

Transformation for IoT Business Model in Connected Industrial Vehicles
Transformation for IoT Business Model in Connected Industrial Vehicles
Transformation for IoT Business Model in Connected Industrial Vehicles
Heavy Vehicle
Field Services
CNH Industrial wanted to put IoT-enabled viechles onto the market. Whether monitoring a single machine or integrating an entire fleet, operators are able to track the status, speed, and movement of machines and their performance and also receive alerts on issues that may require service by a qualified technician to improve uptime and overall effectiveness of the vehicle.
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CNH Industrial is one of the world's largest capital goods companies registered in the Netherlands with corporate offices in London, with more than 70,000 employees.
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CNH Industrial created the Precision Solutions & Telematics business unit to provide performance-enhancing technologies for the company's product segments, which include agriculture, construction and commercial vehicles. The CNH Industrial system includes other components such as correction signals that provide sub-inch accuracy for drivers during crop seeding and harvesting.

Software Components
- Precision Solutions & Telematics business unit
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Data for field attributes, in-field variability
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Cutting Edge (technology has been on the market for < 2 years)
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Total Cost of Ownership - Total cost of ownership is lowered due to GPS controlled seed and fertilizer application which results in lower input costs and less waste.
Remote Device Diagnostics - Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
Predictive Maintenance - The solution allows CNH Industrial to enable predictive maintenance which helps reduce maintenance costs.
The average time that combines, tractors, and harvesting machines are out of commission for maintenance has been reduced by approximately 50% due to the proactive service approach.
The engineering data could reveal that when the water temperature on a particular model rose to certain level, 80% of the time the vehicle was experiencing a faulty radiator.
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
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.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
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.
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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