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Tuesday, September 17, 2024

Remodeling fleet telematics into predictive analytics with Capgemini’s Trusted Car and AWS IoT FleetWise


Introduction

Constructing a resilient path to post-pandemic restoration requires adaptability to dynamic traits. Subsequently, many logistics leaders use predictive analytics to drive provide chain selections, enhance inside operational processes, meet regulatory compliance, and cut back transportation upkeep prices. Use instances for superior predictive analytics in logistics embrace transportation administration, fleet administration, last-mile supply, and visibility into fleet operations. By way of 2024, Gartner predicts 50% of enterprises and provide chain organizations will put money into real-time transportation visibility platforms to measure enterprise efficiency, make knowledgeable selections, and obtain digital maturity.

Whereas automobile knowledge is turning into extra accessible, organizations face challenges managing the continual variability of huge knowledge technology pushed by related autos. Based on McKinsey, 95% of recent autos offered globally will probably be related, producing terabytes of sensor knowledge hourly. Nevertheless, amassing proprietary knowledge codecs throughout automobile fashions results in knowledge fragmentation leading to noisy knowledge and delayed fleet-wide insights. With software-defined autos driving the following evolution of the automotive trade, knowledge turns into a important element enabling new functionalities and digital providers totally by means of software program. Therefore, fleet telematics is essential in driving high quality decision-making and figuring out a sustainable enterprise technique in a risky market.

AWS IoT FleetWise is a completely managed service that simplifies amassing, remodeling, and transferring automobile knowledge to the cloud. Automakers, fleet operators, and automotive suppliers can entry standardized fleet-wide automobile knowledge with out creating customized knowledge assortment methods. With clever knowledge assortment capabilities, AWS IoT FleetWise permits clients to gather and ship solely high-value automobile knowledge to the cloud for proactive fleet well being analytics and have enhancements. Moreover, clients can prepare machine studying (ML) fashions utilizing collected knowledge to enhance autonomous driving and superior driver help methods (ADAS).

With over 40 years of automotive trade expertise and an in depth partnership with Amazon Net Companies (AWS), Capgemini expanded its Trusted Car related mobility answer with AWS IoT FleetWise capabilities. On this submit, we’ll present how Capgemini’s Trusted Car and its integration with AWS IoT FleetWise gives end-to-end transportation visibility into automobile well being and marketing campaign administration.

How AWS IoT FleetWise works

AWS IoT FleetWise allows safe knowledge ingestion from autos to the cloud by means of a automobile modeling framework. The next structure diagram exhibits AWS IoT FleetWise service parts and the way they work together.

AWS IoT FleetWise user flow

Determine 1: AWS IoT FleetWise person movement

Right here is the person movement of AWS IoT FleetWise:

  1. Customers develop and set up their Edge Agent for AWS IoT FleetWise based mostly on a reference implementation. The Edge Agent permits customers to check simulated automobile knowledge earlier than integration or runs as an utility to attach remotely to a fleet of autos.
  2. Subsequent, customers can create a semantic digital twin of the automobile in AWS IoT FleetWise by defining a automobile mannequin consisting of auto attributes resembling mannequin yr and engine sort. Standardizing automobile knowledge format and defining relationships between indicators in AWS IoT FleetWise gives a foundational automobile knowledge construction for creating knowledge assortment campaigns.
  3. Customers can create campaigns with condition-based or time-based assortment schemes. AWS IoT FleetWise deploys lively campaigns to focus on autos to accumulate sensor knowledge from the automobile community based mostly on outlined knowledge assortment schemes.
  4. The Edge Agent applies inspection guidelines to add automobile knowledge again to the AWS IoT FleetWise knowledge aircraft by means of AWS IoT Core, a completely managed service that connects IoT gadgets to the cloud. The information aircraft persists the collected knowledge in Amazon Timestream or Amazon Easy Storage Service (Amazon S3) for additional evaluation.
  5. Customers can analyze traits and patterns to generate actionable insights with AWS analytics providers, together with Amazon QuickSight for enterprise intelligence, Amazon Managed Grafana for knowledge visualization, Amazon Athena for interactive queries, and AWS Glue for knowledge integration. You too can construct ML fashions utilizing Amazon SageMaker.

Improve fleet analytics with Capgemini’s Trusted Car

Constructed on AWS Related Mobility Answer (CMS), Capgemini’s Trusted Car helps clients harness the facility of knowledge by gathering and operationalizing automobile telemetry knowledge within the cloud. Trusted Car gives accelerators resembling reusable templates and marketing campaign administration instruments, enabling clients to develop clever and customized options with related automobile options.

Advantages of Trusted Car and AWS IoT FleetWise

Trusted Car now integrates with AWS IoT FleetWise, offering an aggregated view of auto, driver, and journey knowledge to speed up time-to-value with fleet telematics. Extending the core AWS capabilities and AWS IoT FleetWise, Trusted Car allows automakers and fleet operators to drive mobility and digital transformation.

Now, let’s evaluation how Trusted Car integrates with AWS IoT FleetWise. The next diagram illustrates how clients can use a variety of auto capabilities offered by Trusted Car and combine with AWS IoT FleetWise to speed up automobile knowledge assortment, transformation, and evaluation within the cloud.

Capgemini's Trusted Vehicle integration with AWS IoT FleetWise

Determine 2: Capgemini’s Trusted Car integration with AWS IoT FleetWise

Right here is the person movement of Trusted Car with AWS IoT FleetWise integration:

  1. Choose enterprise course of – Trusted Car gives a library of ordinary automotive enterprise processes permitting automakers to develop automobile capabilities with superior analytics. Customers can choose a automobile enterprise course of from Trusted Car’s library, together with Car Onboarding, Telematics, Worth-Enabled Companies, Car Subscription Companies, Car Safety, Electrical Car (EV) Companies, Fleet Reliability and Monitoring, and Distant Car Administration Programs.
  2. Select enterprise operate – Every enterprise course of incorporates a set of enterprise features for varied automobile capabilities. For instance, the Telematics enterprise course of gives enterprise features for activating or deactivating telematics knowledge ingestion, customized anomaly alerts, software-over-the-air (SOTA), and hassle code analysis by means of varied telematic management unit (TCU) or digital management unit (ECU) of autos.
  3. Configure EV operate – Customers can configure enterprise features by way of Trusted Car’s console or invoke automobile capabilities programmatically by way of APIs. For instance, the EV Companies enterprise operate API permits customers to register and replace EV accounts, authorize EV periods, pay overage charges, and retrieve EV fleet standing. Customers can prolong these customary EV capabilities to create customized buyer experiences.
  4. Choose knowledge assortment marketing campaign template – Trusted Car gives ready-to-use and customizable templates for enterprise features requiring automobile knowledge assortment. These templates comprise customary configurations and greatest practices to diagnose points or enhance the standard of service remotely.
  5. Replace marketing campaign parameters – Creating AWS IoT FleetWise campaigns for knowledge assortment is simple with prebuilt marketing campaign templates offered by Trusted Car. For instance, customers can choose the EV-Battery-Monitoring marketing campaign template to assemble battery monitoring knowledge. You may enter a logical expression to configure what knowledge your Edge Agent collects. For example, $variable.`EVBatterySample.Drivetrain.ActualVehicleSpeed`>50.0 tells the Edge Agent to gather battery metrics when a automobile velocity exceeds 50 kilometers per hour (km/h). Customers can select between At all times or On first set off mode for knowledge assortment guidelines. Default set off mode is At all times the place the Edge Agent collects knowledge based mostly on specified situations, whereas On first set off mode solely collects knowledge upon the primary incidence. Customers may set a set off interval between knowledge assortment occasions.
  6. Deploy knowledge assortment campaigns to autos – Trusted Car deploys the configured marketing campaign to distant autos by means of the client’s Edge Agent. With the end-to-end marketing campaign implementation, Trusted Car simplifies automobile knowledge processing and evaluation with pre-configured analytic capabilities and visible interfaces.
  7. Edge Brokers acquire knowledge from autos – Edge Brokers start amassing automobile indicators upon marketing campaign activation. Customers can remotely monitor and management automobile knowledge processing by way of Trusted Car’s console, together with suspending or resuming a marketing campaign to optimize knowledge amassing prices. Close to real-time visibility permits automakers to diagnose automobile points, implement over-the-air (OTA) updates, and improve distant automobile administration providers by means of Trusted Car.
  8. Visualize and analyze automobile metrics – As soon as automobile knowledge is obtainable within the cloud, customers can construct interactive Grafana dashboards to research and visualize fleet telematics. The next picture exhibits the visualization evaluating an electrical automobile’s velocity and battery temperature metrics from Trusted Car. Automakers could make well timed selections based mostly on close to real-time insights and visibility into automobile well being.
    Capgemini's Trusted Vehicle Fleet Telematics

    Determine 3: Capgemini’s Trusted Car Fleet Telematics

Conclusion

We coated how Capgemini’s Trusted Car integrates with AWS IoT FleetWise to simplify fleet administration implementation and accelerates time to worth. Clients can acquire high-value automobile knowledge with AWS IoT FleetWise and construct related automobile options utilizing varied reusable templates offered by Trusted Car. Consequently, fleet operators can diagnose potential automobile points with well timed insights for impactful fleet selections all through the automobile lifecycle.

Concerning the Authors

Cher Simon

Cher Simon

Cher Simon is a Principal Accomplice Options Architect specializing in machine studying and knowledge analytics at AWS. Cher has 20 years of expertise architecting enterprise-scale, data-driven, and AI-powered trade options. Apart from constructing cloud-native options in her day-to-day function with clients, Cher can be an writer and a frequent speaker at AWS conferences.

Rahul Khandelwal (Capgemini)

Rahul Khandelwal

Rahul Khandelwal is a Chief Architect at Capgemini, specializing in cloud-native enterprise transformation and digital enablement. Rahul has numerous geography expertise in IT consulting, main large-scale digital transformation packages throughout automotive and retail industries. As a trusted trade advisor and speaker with a number of publications, Rahul is captivated with how know-how can rework enterprise.

Daniel Davenport (Capgemini)

Daniel Davenport

Daniel Davenport is a Principal Analyst at Capgemini North America Automotive group. Daniel enjoys constructing modern mobility options in a quickly altering transportation sector. Primarily working with AWS providers, Daniel helps clients to ship enterprise outcomes with cloud-native related mobility trade options.

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