eDatX
A flexible, intelligent and scalable solution
for edge-to-cloud vehicle data aggregation
tQCS is a sole solution and service partner for Excelfore eDatX in Asia-pacific region
including China, Korea, Japan and Vietnam.
Data Aggregation Features
The Platform
controls data flow by managing large-scale data transmission
streams data processing
uses multiple data storage formats for data retention in the cloud
Hadoop Distributed File System: to Store Raw and Staging Data
Mongo DB: to Store Diagnostics Data
Elasticsearch: to Store Structured Data Processed by Aggregation and Learning Services
Relational Database: to Store User, Role and Configuration Data
In the device, The eDatX Service exchanges data with the eSync Client within the vehicle.
The Service
receives raw data from the eSync Client and return back granular raw data after data ingestion process.
ingests data with rules-based configuration and data trimming, streams data pre-processing and transformation data published to Topics queue.
stores local data in Topics for a configurable retention period.
manages rolling buffers (15-60 sec) by sizing updatable buffers based on rules/policies.
reduces data for granularity by subsampling and logical/statistical reduction
sets OTA updatable rules/policies, allowing for dynamic adjustments in response to changing conditions
The eSync Agent is the primary starting point for data gathering, exchanging data with the eSync Client.
The Agent travels with device for quick integration in any eSync compatible system.
The Agent manages
Rolling Buffers
Data Encryption/Decryption
Data Policy
Device Data Interface
Remote Vehicle Support/Maintenance Services
Initiate remedial actions before error based real-time monitoring, improve remote repair services. Make synergy with OTA update for distributed fleets that can be implemented Over-The-Air in minutes.
Monitoring Vehicle Health
Predict remaining useful life of automotive components, and Monitor failures of ECU, HPC when operating outside of normal bounds, based on the data from Dashboard Warning Lights, Diagnostic Trouble Codes, Tire Pressures, EV Battery, and Accident Events. Access sensor and telematics data to reveal use patterns and behavioral correlations.
Data-Driven Transformation by eDatX for Connected and Autonomous Vehicles
The eDatX from Excelfore ingests and aggregates vehicle data from target ECU’s through eSync Agent to provide a managed and accessible body of data to the eSync Server through in-vehicle processing (eDatX Service). eDatX allows OTA-updatable rules/policy-based data retention and granularity adjustments to provide a comprehensive toolset to gather the right data, in the right amounts, from any number of vehicles, enabling the follows:
Security Reinforcement
Massive amounts of data can play a crucial role in enhancing cyber security in the recent surge of threats to Connected Car security.
Essential Basis for Autonomous Driving Technology Development and SDV transformation
Utilize large-scale data aggregated from existing vehicles enables you to save time and costs in future development. Draw real-time data from devices in diverse geographies. Access and investigate from remote engineering facilities.
Efficiency in Time and Cost for Development
In the recent competition in the development of autonomous driving technology, driving data from various environments, including the driving patterns of existing customers and unexpected scenario data, is being crucially utilized.
New Services Utilizing Aggregated Data
Develop additional mobility services for drivers and passengers, for example, Parking recommendations, In-Vehicle Media or add-on SW subscription, etc. Furthermore, you can pioneer new mobility business models, personalizing vehicle/driving condition, developing MaaS(Mobility-as-a-Service) model, Fleet/logistics business, and GIS or Smart City solution.
Edge AI Anomaly Detection
Extend eDatX with intelligent edge processing to detect anomalies, filter irrelevant data, and transmit only the data that matters.