Intel Case Studies Connected Transportation: A Smarter Brain for Your Train with Intel

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	Connected Transportation: A Smarter Brain for Your Train with Intel Intel

Connected Transportation: A Smarter Brain for Your Train with Intel

Intel

Technology Category	Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - Data Exchange & Integration Application Infrastructure & Middleware - Database Management & Storage Functional Applications - Remote Monitoring & Control Systems Networks & Connectivity - Cellular Sensors - Camera / Video Systems Sensors - Temperature Sensors Sensors - Vibration Sensors
Applicable Industries	Railway & Metro
Applicable Functions	Business Operation
Use Cases	Asset Health Management (AHM)
Challenge	A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second. Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more. Most of today’s locomotives lack sufficient on-board processing power to make full use of all this data. To make matters worse, the data from different subsystems, such as the brakes, fuel system, and engine, remain separate, stored in isolated “boxes” that prevent unified analysis. The data is available, but the technology needed to process it in the most effective manner is not. As new sensors are added to the machine, the problem escalates. Read More
About Customer	- Read More
Customer Name	GE Transportation Read More
Solution	GE and Intel have come together to solve this challenge, and to lay the foundation for faster innovation across the full spectrum of industrial applications. GE GoLINC is a mobile data center that puts powerful data processing and flexible communications close to the data. GoLINC is purpose-built for rugged and remote industrial environments. It has proven its value on thousands of GE and non-GE locomotives run by nearly all of the tier one railroad operators in the United States. GoLINC is a flexible system that holds multiple modules supporting a wide range of functions, such as wireless communications, networking, and the translation, processing, and storage of all sensor data. Individual sensor subnetworks no longer have to support all of these functions separately. For example, the proliferation of cellular antennas on a modern locomotive can be replaced by a single antenna—and a single module—that handles all communications. In addition, each high-performance GoLINC compute module can host multiple applications, including GE GoLINC Data Optimizer, third-party vendor applications, and home-grown customer applications. With this approach, hardware is consolidated, data is unified, and customers have full control over the applications that monitor and control their machines. Unlike other on-board processing solutions, GoLINC is an open platform that can be integrated easily with diverse sensor networks, hardware modules, and software applications. Users can configure GoLINC to meet current needs, and then grow and adapt it as those needs change. Both hardware and software are built to support simple, non-disruptive upgrades. Read More Log in to view content
Data Collected	Fuel Consumption, Power Consumption, Temperature, RPM Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Application Infrastructure & Middleware - Database Management & Storage

Functional Applications - Remote Monitoring & Control Systems

Networks & Connectivity - Cellular

Sensors - Camera / Video Systems

Sensors - Temperature Sensors

Sensors - Vibration Sensors

Applicable Industries

Railway & Metro

Applicable Functions

Business Operation

Use Cases

Asset Health Management (AHM)

Challenge

A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second. Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more.

Most of today’s locomotives lack sufficient on-board processing power to make full use of all this data. To make matters worse, the data from different subsystems, such as the brakes, fuel system, and engine, remain separate, stored in isolated “boxes” that prevent unified analysis. The data is available, but the technology needed to process it in the most effective manner is not. As new sensors are added to the machine, the problem escalates.

About Customer

Customer Name

GE Transportation

Solution

GE and Intel have come together to solve this challenge, and to lay the foundation for faster innovation across the full spectrum of industrial applications. GE GoLINC is a mobile data center that puts powerful data processing and flexible communications close to the data. GoLINC is purpose-built for rugged and remote industrial environments. It has proven its value on thousands of GE and non-GE locomotives run by nearly all of the tier one railroad operators in the United States.

GoLINC is a flexible system that holds multiple modules supporting a wide range of functions, such as wireless communications, networking, and the translation, processing, and storage of all sensor data. Individual sensor subnetworks no longer have to support all of these functions separately. For example, the proliferation of cellular antennas on a modern locomotive can be replaced by a single antenna—and a single module—that handles all communications. In addition, each high-performance GoLINC compute module can host multiple applications, including GE GoLINC Data Optimizer, third-party vendor applications, and home-grown customer applications. With this approach, hardware is consolidated, data is unified, and customers have full control over the applications that monitor and control their machines.

Unlike other on-board processing solutions, GoLINC is an open platform that can be integrated easily with diverse sensor networks, hardware modules, and software applications. Users can configure GoLINC to meet current needs, and then grow and adapt it as those needs change. Both hardware and software are built to support simple, non-disruptive upgrades.

Data Collected

Fuel Consumption, Power Consumption, Temperature, RPM

Impact #1	[Data Management - Real Time Data Analysis] Smarter, faster decision making.Sensor data is analyzed immediately, so time-sensitive decisions can be made without the delays associated with transferring high-volume data to a centralized data center (an inherently slow process that can be further disrupted in remote locations where cellular service is unavailable). Operators can detect and respond to issues instantly, before they escalate into more serious problems.
Impact #2	[Cost Reduction - Data Management] Efficient, low-cost data transmission.Since sensor data is filtered and analyzed on-board, only critical alerts and other small messages need to be sent over costly cellular connections. High-volume data transfers are performed at stations to take advantage of fast, low-cost Wi-Fi connections. Given the size of the data sets, the savings can be substantial.
Impact #3	[Efficiency Improvement - Management] Simpler and more efficient management.Intel processors are designed to enable efficient remote management of the computing platform using proven tools and methods. GoLINC extends these advantages. As one example, hot-swap modules allow for simple, non-disruptive replacements and upgrades, so even a hardware failure can typically be resolved in seconds.

Impact #1

[Data Management - Real Time Data Analysis]
Smarter, faster decision making.Sensor data is analyzed immediately, so time-sensitive decisions can be made without the delays associated with transferring high-volume data to a centralized data center (an inherently slow process that can be further disrupted in remote locations where cellular service is unavailable). Operators can detect and respond to issues instantly, before they escalate into more serious problems.

Impact #2

[Cost Reduction - Data Management]
Efficient, low-cost data transmission.Since sensor data is filtered and analyzed on-board, only critical alerts and other small messages need to be sent over costly cellular connections. High-volume data transfers are performed at stations to take advantage of fast, low-cost Wi-Fi connections. Given the size of the data sets, the savings can be substantial.

Impact #3

[Efficiency Improvement - Management]
Simpler and more efficient management.Intel processors are designed to enable efficient remote management of
the computing platform using proven tools and methods. GoLINC extends these advantages. As one example, hot-swap modules allow for simple, non-disruptive replacements and upgrades, so even a hardware failure can typically be resolved in seconds.

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Overview

Connected Transportation: A Smarter Brain for Your Train with Intel

Operational Impact