Application Scenarios

IoV big data

IoV big data

  • 50% higher compression rate: One copy of data is processed by multiple computing engines (Spark, Hive, Flink, Presto) for CDR query, interactive analysis, ETL, and AI.
  • Elastic computing and high cost-effectiveness: Unified metadata supports multiple computing engines (Spark, Hive, Flink, Trino). One copy of data can be used for CDR query, interactive analysis, and ETL.
  • Faster query: PB-level retrieval within seconds. 1 PB of CDR data can be queried within 30 seconds using the index and cache.
  • Real-time update: Build a real-time data lake to synchronize incremental data to the production database 10 times faster for T+0. Unified transactions and permissions.
Massive Vehicle Connections

Massive vehicle connections

  • Supports concurrent connections of tens of millions of vehicles, nearby vehicle access, 10 ms-level latency access, and vehicle access point switching.
  • Elasticity and all-domain traffic shaping: Caches massive messages, provides peak and off-peak load balancing capabilities, and balances northbound output links to avoid data skew.
  • Nearby matching between mobile apps and vehicles: The app remotely controls vehicles to perform operations through the edge cloud, reducing link latency by 90%.
Data Applications

Data applications

  • Aggregates data from multiple dimensions based on service requirements, including vehicle data, new energy vehicle data, and head unit data.
  • Build AI data applications and enable services based on valuable data and HUAWEI CLOUD ModelArts platform capabilities.

Architecture

Distributed IoV

Vehicle-edge-cloud synergy builds a next-generation IoV service platform to support massive vehicle access, massive data storage and analysis, and IoV data applications.

  • Intelligent edge with low-latency services

    Through in-depth collaboration with carriers, HUAWEI CLOUD Intelligent EdgeFabric (IEF) is provided at the nearest access point of vehicles, making IoV services closer to vehicles and facilitating vehicle OTA upgrade.

  • Decoupled storage and compute, data-AI convergence, and fast evolution

    The big data storage and compute separation architecture is more flexible and can be expanded on demand based on service characteristics, improving the cost-effectiveness by 30%. The data intelligence convergence platform supports converged analysis of one copy of data, improving the efficiency by 50%.

  • Faster application innovation with experience and services

    HUAWEI CLOUD opens its experience in the automobile industry to customers, partners, and developers, making IoV application development more efficient. Device-cloud synergy makes application development, deployment, and management more convenient.

Highlights

Low-Latency Nearby Access

Vehicles in China are connected to the nearest platform by region. On the one hand, the high concurrency problem of a single point of the platform can be solved. On the other hand, the proximity principle can reduce the latency and quickly respond to data and services.

One-Stop IoV Data Management

Efficient and powerful processing efficiency, quick and sensitive construction and deployment, and second-level data analysis and processing speed meet the data processing requirements of IoV service scenarios.

One-Stop IoV AI Data Application Development

Provides massive data preprocessing, interactive intelligent labeling, large-scale distributed training, automatic model generation, and on-demand model deployment on the device, edge, and cloud, and manages the lifecycle of AI workflows.

Success Stories

BYD Automobile

Reach 2.5 million cars in an instant. HUAWEI CLOUD IoV solution enables BYD to easily cope with massive connections. Containers are highly elastic to cope with peak and off-peak travel services. Big data and wide tables enable cross-source query of massive data in seconds, providing stable and high-quality intelligent IoV services for vehicle owners.

Foton Motor

Futian Automobile worked with Huawei CloudWalk to make an overall plan in terms of resources, services, and management. More than 800,000 offline vehicles were switched to the cloud for access. In addition, data was integrated and analysis models were established to guide services to accurately predict the market in terms of network layout and hot-selling vehicle models, promote continuous improvement of customer experience.

Great Wall Motor

Great Wall Motor works with HUAWEI CLOUD to quickly implement services outside China and expand the global market space. Relying on HUAWEI CLOUD to build a global distributed IoV platform, HUAWEI CLOUD works with partners to provide Great Wall Motor with global SIM services, maps, and CPSP services. In addition, Huawei's dedicated legal and regulatory team helps the Great Wall grow its capabilities outside China and meet business requirements of each country.