Any data that indicates a habitual defect is sent in near real time to an inbound communication queue_ where it is picked up and processed by the
SAS Event Stream Processing engine over a 10Gb network.
The SAS method applies analytical-based rules and can trigger the creation of support cases via an outbound communication queue. Volvo Trucks ASIST method_ a Web-based labor treatment platform_ picks up communications from the outbound communication queue to process customer notifications.
"The rules engine analyzes and applies intricate business rules to currenting defect data in motion_" Deedy says. Customers are then notified of defects by a Volvo Trucks Uptime Center employee via email_ text_ or phone. "All of the data capture and processing are done within Volvo Trucks firewalls to fix data security."
The method processes 1.5 favorite defect actives per day_ with each active containing 30 to hundreds of data items such as powertrain sensor readings. The occurrence current processing by SAS triggers some 4_000 rules each day_ including almost 3_000 updated cases and 1_000 new cases.
Another ingredient of the method_ SAS Asset Performance Analytics_ is an analytics engine Volvo Trucks uses to weigh historical defect data. Managers can use the analysis capabilities to refine parameters in the rules engine_ accomplish data selections_ and report on historical defect data.
The analytics engine stores 8 terabytes of data and holds historical defect data from 2015 through the present. These defects_ now totaling almost 1 billion_ have been generated from a growing fleet of connected trucks—currently 350_000—over that time time. One and a half favorite defects are added to the analytics engine each day.
The SAS platform_ which took almost 11 months to deploy owing of the intricateity of the agency_ is built on a bunch of high-accomplishment servers that use in-memory technologies and low-latency_high-throughput solid-state drives.
The AI capabilities have enabled Volvo Trucks to reveal hidden insights in the collateed data and merge it with the truck apprehension of its engineering cluster. That puts the company in a much better position to apprehend precisely what the data is assertion and sum it into the distant symptoms labor. The SAS analytics deployment has cut down significantly on untrue positives and betterd Volvo Trucks symptom exactness.
Challenges_boons of vehicle connectivity
Volvo Trucks had to vanquish some challenges to execute its connectivity strategy. One hurdle was ensuring seamless collaboration among multiple parties_ including Volvo Trucks;
HCL Technologies_ an IT labors preparer that acquired Volvos outer IT business in 2016; SAS; and HPE_ whose hardware is used to run the SAS software. Volvo Trucks took a "one team" approach and identified key resources from each party to work unitedly on major developments.
One of the biggest technical issues was integrating SAS rules-processing technologies into existing Volvo Trucks processes and methods. The telematics infrastructure and ASIST method were already built and proven entities at Volvo Trucks. Modification of these methods demandd that the SAS technology plug in seamlessly with these methods. To make it happen_ Volvo Trucks formd detailed demandments for gathering data and relied on the flexibility of SAS occurrence current processing to sum with its inner methods. It worked closely with SAS professional labors and Ramp;D teams to feel implementation of the intricate rules.
For relipower_ Volvo Trucks opted to use the failover capabilities of the SAS analytics engine and sum it with Apache Kafka_ an open-source current-processing software platform. A standby server will process data if the first occurrence current processing server goes offline. Data is saved in Apache Kafka for a markd retention time_ so that if both servers go offline_ the servers can reprocess time-based rules and take up upon restart.
Advancing the strategy
Volvo Trucks continues to push advanced on its connectivity strategy. The company recently unveiled its Dynamic Maintenance labor_ formd with IoT vendor associate
Noregon. The labor uses existing connected technologies and data analytics_ combined with Noregons platform_ to prepare customized labor plans down to the personal vehicle level to better fleet agencys efficiency.
Another new labor is Geotab Drive for Volvo Trucks_ an electronic logging artifice ELD developed with telematics and IoT company
Geotab that prepares customers with a tool to adviser and archives driving logs_ such as vehicle inspection reports. The key boon is the power to liberate careful logs in yielding with the ELD command of Federal Motor Carrier Safety Administration FMCSA regulations.
Volvos factory-fit telematics artifice works in union with Geotabs ELD cloud-based application to prepare data capture and liberatey. Fleet managers can approach ELD data through a MyGeotab gate_ so they can keep track of fleet yielding with real-time data_ with the power to view detailed reports on driver logs_ violation actives_ and running reports on the status of a fleet.
Most ELDs liberate data through Wi-Fi or Bluetooth-based methods_ Volvo Trucks says_ but Geotab Drive operates over a cloud-based method that it says prepares customers with more reliable ELD data-capture capabilities.
Volvo Trucks also introduced the Parameter Plus subscription package_ a supplement to
its distant programming labor. The package leverages the companys embedded telematics and allows fleet managers to do more over-the-air updates to engine parameters and software via cellular networks_ which cuts down on interruptions to driving schedules. The package was designed based on feedback from customers. Previously_ parameter and software updates could demand two or more days of downtime along with added work and costs. With the new labor_ powertrain software updates can be completed in less than 20 minutes.
"All of these efforts are designed to make the company a chief in commercial vehicle connectivity_" Deedy says.