Automotive

Leveraging the advantages of device-pipe-cloud, Huawei Automotive platform provides full-stack cloud services. Automotive manufacturers and associated industry enterprises can diversify their income streams with such services as region/municipality-wide direct rentals and automated driving applications, making vehicles and people's lives smarter.
Business Challenges
  • Heavy Assets, High OPEX, Slow Construction

    Constructing a data center is costly, involving equipment rooms, power supply, cooling, fire fighting, and system management outlays. Centers must be able to handle the highest peaks in traffic, which means a vast majority of the investment underutilized during normal hours. Construction is slow and cannot meet service development requirements.

  • Ineffective Content-Data Integration

    Automobile companies build separate content and management systems, forming data silos. Moreover, data models are not interoperable. Therefore, capturing customer profiles or implementing precision marketing is difficult. Automobile companies also need to purchase vertical medium resources at a huge cost, without any data quality assurance.

  • Challenging Data Assets Management

    Traditional IoV construction emphasizes content accessed over the in-vehicle infotainment system. As more and more vehicles access the network, more data is amassed. The new generation of IoV platforms should focus on extracting IoV data value to provide drivers with a richer and more personalized service experience.

  • Arduous App Development

    To develop and deploy an automated driving system, a company must gather, store, and manage masses of data. Tools integrating AI and using an advanced learning framework with high-performance computing capabilities help minimize costs of transferring data to the cloud, accelerate model training, and streamline development efforts.

Typical Scenarios
  • Simulation Analysis

  • Digital Marketing

  • Connected Car

  • Autonomous Vehicle

Simulation Analysis

Simulation analysis, improving R&D efficiency

In automobile R&D, CAE is used to simulate and analyze rigidity, strength, modes, collision, and NVH.

  1. Evident Finite Element Analysis (EFEA)

    Used in analyzing vehicle collision safety, high-speed impact, and explosion

  2. Invisible Finite Element Analysis (IFEA)

    Used in analyzing vehicle structure strength, vibration mode, fatigue, heat, and NVH

  3. Fluid analysis

    Used in analyzing external airflow, air channels, and airflow resistance

  4. Related Services

    Elastic Cloud Server

    Bare Metal Server

    Object Storage Service

    Direct Connect

Digital Marketing

Digital marketing, driving car sales growth

Streamlines the service process, establishes data specifications, and integrates online and offline marketing, improving customer experience and promoting automobile sales.

  1. Omni-channel Integration & Unified Mgmt

    Connects to omni-channel users and integrates all valuable marketing elements, such as consumers, suppliers, and 4S shops. Uses standard data fields, creating a unified content and user experience management system.

  2. Precision Marketing, Personalized Service

    Leverages HUAWEI CLOUD Enterprise Intelligence to analyze data and refine vehicle owner profiles, providing personalized services. Precision marketing improves the customer retention rate and conversion rate of potential customers.

  3. Smart Marketing Activity Management

    Allocates marketing resources to according activities based on vehicle owner profiles by using Huawei AI algorithm, improving the proportion of self-owned channels and utilization of vertical media resources.

  4. Related Services

    ServiceStage

    Machine Learning Service

    MapReduce Service

Connected Car

Internet of vehicles, mining data value

Provides richer, and personalized services for vehicle owners, improving customer experience and loyalty.

  1. Unified Multi-Service Platform

    Offers customers and partners with a secure, efficient, and smart Connected Car platform that unifies the TSP, new energy vehicle monitoring platform, fleet management platform, and transportation risk monitoring platform.

  2. Intelligent Connected Car Suite

    Supports pre-integration scenarios, such as user profile, route analysis, driving behavior analysis, and predictive maintenance.

  3. Vehicle, Connectivity, and Access Mgmt.

    Supports multiple data transmission protocols, such as GB/T32960, MQTT, HTTP, and JT/T 808. Uses vehicle shadow to store and retrieve current state information about the vehicle, and supports data parsing and OTA management.

  4. Related Services

    Elastic Cloud Server

    MapReduce Service

    Object Storage Service

    Cloud Stream Service

Autonomous Vehicle

Autonomous vehicle development platform, accelerating the driverless car commercialization

Provides highly scalable storage, high-performance computing, and an advanced one-stop AI development platform. Enables users to collect, receive, store, and analyze automated driving vehicle data, supporting the field's comprehensive development.

  1. Data Collection and Logistics

    Uses the data express service to import to the development platform significant volumes of automated driving test data.

  2. Data Storage Platform

    Provides standard archive storage platforms requiring low-frequency access for data collected during countless amount automated driving tests.

  3. Data Lake, Computing Platform, Machine & Deep Learning

    Performs end to end management of the data required for automated driving development. Imports masses of drive test data to the platform offline. Parses, filters, and marks the data, then simulates the realistic scenarios to model driving decision making and route planning, and then trains the model repeatedly.

  4. Related Services

    Data Express Service

    Object Storage Service

    GPU-accelerated Cloud Server

    Machine Learning Service

    Deep Learning Service

    Cloud Container Engine

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