Intelligent Technology in Logistics and Transportation – Airlines and Railways

Keeping aircraft and rail transport systems up and running requires a vast organization of equipment maintenance, safety regulations, schedule optimization, and management of staff and passengers. To be successful, a variety of information must be collected on many levels. The emergence of the IoT and telematics (discussed in our last blog) has recently enabled development of real-time monitoring and analyzation of integrated information in almost every faction of logistics and transportation. This technology allows consolidation of Big Data and is currently growing in use. The initial investment of system overhaul may be a hurdle, but the long-term benefits will ultimately outweigh the costs.

Airlines
Airplanes have long utilized sensor packages that monitor and analyze usage data such as performance, fuel consumption, and vibration to create optimized maintenance schedules. The integration of telematics and the IoT with these systems can send data in real-time to a center where it can be filtered, stored, and analyzed. Relevant data can then be sent to the appropriate organizations for follow-up response. For example, if a part indicates imminent failure, the system would relay a signal to notify the equipment manufacturer, and the manufacturer would ship a new part from the factory before actual failure. In this way, maintenance can switch from a reactive to a proactive model, saving downtime and costs, and increasing safety.

For examples of real life applications in airlines, see the blog supplement.

Railways
Similar upgrades are occurring in railway management. Older infrastructure is being replaced with systems that interconnect trains with each other and with central communication hubs and data control centers. These systems improve track utilization and safety, and allow optimization of scheduling and maintenance. Examples of smart-connected rail include:

• Status of mechanical or electrical faults across numerous assets and operators, which not only can prevent failures, but can determine trends for preventative measures.
• Monitoring speed and speed control. Speed data can include metadata such as track configuration, weather, passenger loading, and operator history.
• Intelligent closed-circuit TV cameras that provide a record of events in case of an incident, and provide real-time alarms for potential problems, allowing for more timely intervention responses and potentially reducing service outages.

Generating Actions from Big Data
Data collection, storage, and analysis can provide information that can be used to diagnose and fix, as well as to predict, prevent, and strategize. Real-time, descriptive data from monitoring can be incoporated with AI to automate analysis and provide a highly efficient delivery of prescriptive information. Combined with machine learning, systems can perform appropriate actions in the absence of a person. Data can be quickly analyzed and employed to correct a problem, or prevent one from occurring.

Trending Analysis
Utilizing Big Data for aircraft and railways can be taken further to examine long-term trends in how to route traffic, best practices in maintenance, serving passengers, scheduling, etc. This requires storage of event data and its metadata. Trends over weeks, months, and years can be evaluated, and intelligent strategic policies can be implemented. Such storage and analysis requires the right software to create logical and relevant data storage, retrieval, and analysis based on chosen parameters.

 

About the Author - Tom Goodwin is the Vice President of Marketing at HigherGround. His background in telecommunications and data networking has been augmented with work in data analytics and automated reporting prior to joining HigherGround. Click here for more information on Tom and the rest of the HigherGround team!

HigherGround, Inc. provides best-in-class, reliable data capture and interaction storage solutions that enable clients to easily retrieve critical information. Our interaction recording and incident reconstruction solutions transform data into actionable intelligence, allowing optimization of operations, enhanced performance, and cost reduction.

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