Intel Case Studies Predictive Maintenance Drives Smarter Fleet Management

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	Predictive Maintenance Drives Smarter Fleet Management Intel

Predictive Maintenance Drives Smarter Fleet Management

Intel

Technology Category	Functional Applications - Fleet Management Systems (FMS) Functional Applications - Remote Monitoring & Control Systems Networks & Connectivity - Gateways Sensors - Pressure Sensors
Applicable Industries	Specialty Vehicles
Applicable Functions	Logistics & Transportation
Use Cases	Fleet Management
Challenge	Fleet managers are turning to predictive analytics to stay on top of maintenance and mitigate part failures before they happen. However, managing the large amount of new data generated by vehicle sensors is challenging. Read More
About Customer	Any organization that relies on vehicles in its daily operations understands how critical it is to keep them up and running. Whether it’s a delivery company, a school district, a telecommunications provider, or a municipality, productivity can come Read More
Customer Name	Undisclosed Read More
Solution	Predixion Insight* can analyze data either in the cloud or edge devices, reducing the volume of information that needs to be transmitted. Sensors on fleet vehicles collect data about tire pressure, hydraulics, and other parts. The data is sent to Intel®-based IoT gateways on the vehicle, which then process data at the edge for immediate alerts, or send it to the cloud for longer-term analysis. The integrated Wind River Helix* Device Cloud delivers centralized remote management with a cloud-based platform. Read More Log in to view content
Data Collected	Inventory Levels, Mileage, Parts Quality, Tire Pressure, Hydraulics Read More Log in to view content
Contents

Technology Category

Functional Applications - Fleet Management Systems (FMS)

Functional Applications - Remote Monitoring & Control Systems

Networks & Connectivity - Gateways

Sensors - Pressure Sensors

Applicable Industries

Specialty Vehicles

Applicable Functions

Logistics & Transportation

Use Cases

Fleet Management

Challenge

Fleet managers are turning to predictive analytics to stay on top of maintenance and mitigate part failures before they happen. However, managing the large amount of new data generated by vehicle sensors is challenging.

About Customer

Any organization that relies on vehicles in its daily operations understands how critical it is to keep them up and running. Whether it’s a delivery company, a school district, a telecommunications provider, or a municipality, productivity can come

Customer Name

Undisclosed

Solution

Predixion Insight* can analyze data either in the cloud or edge devices, reducing the volume of information that needs to be transmitted. Sensors on fleet vehicles collect data about tire pressure, hydraulics, and other parts. The data is sent to Intel®-based IoT gateways on the vehicle, which then process data at the edge for immediate alerts, or send it to the cloud for longer-term analysis. The integrated Wind River Helix* Device Cloud delivers centralized remote management with a cloud-based platform.

Data Collected

Inventory Levels, Mileage, Parts Quality, Tire Pressure, Hydraulics

Impact #1	[Cost Reduction - Maintenance] Fleet managers can reduce the costs associated with maintenance, while gaining control of scheduling and inventory.
Impact #2	[Cost Reduction - Energy] There are also smaller, but important, losses that can result from deferred maintenance—for example, reduced gas mileage due to low tire pressure.
Impact #3	[Data Management - Data Analysis] Data from these sources can be analyzed in real time on the industrial gateway in the truck to alert drivers of imminent failures, or pushed via the gateway to the cloud, for analysis by corporate headquarters and operations.

Impact #1

[Cost Reduction - Maintenance]
Fleet managers can reduce the costs associated with maintenance, while gaining control of scheduling and inventory.

Impact #2

[Cost Reduction - Energy]
There are also smaller, but important, losses that can result from deferred maintenance—for example, reduced gas mileage
due to low tire pressure.

Impact #3

[Data Management - Data Analysis]
Data from these sources can be analyzed in real time on the
industrial gateway in the truck to alert drivers of imminent
failures, or pushed via the gateway to the cloud, for analysis
by corporate headquarters and operations.

Benefit #1	Reducing data transmission costs
Benefit #2	It processes and analyzes data in real time to provide immediate predictions as to pending failures.
Benefit #3	Reduce downtime and slash maintenance costs

Benefit #1

Reducing data transmission costs

Benefit #2

It processes and analyzes data in real time to provide immediate predictions as to pending failures.

Benefit #3

Reduce downtime and slash maintenance costs

Partners	Wind River

Partners

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Overview

Predictive Maintenance Drives Smarter Fleet Management

Operational Impact

Quantitative Benefit

Technology