Industry Trends

IoT Development Trends

IoT Development Trends

IoT has become a key enabler of digital transformation across industry verticals. Given the increased investment in and maturity of the technology, applications of IoT in connected vehicles, public utilities, and industrial manufacturing are expected to enter a new realm of integration and promotion.

  • · Connected vehicle
  • The connected vehicle field is gradually evolving, from initial use only in high-end vehicles, to inclusion as a standard service in most modern vehicle models. Leading automobile manufacturers are engaged in exploring greater involvement in mobility services, while governments step into connected vehicle supervision. A notable example of this is China's regulations on new energy vehicles.

  • · Public utilities
  • The continued application of IoT will greatly improve public utility operations, with smart metering and environmental monitoring seeing rapid maturation.

  • · Industrial manufacturing
  • IoT has become a necessity for industrial manufacturing enterprises transforming from producers to service providers. As a result, IoT is the focus of many pilot projects, many of which target remote O&M, as well as improved O&M efficiency and onsite labor costs.

Typical Scenarios

Introduction

Two options are available to help customers support up to hundreds of millions of IoT connections.

Benifits

  • Option 1: Creating a Connection Processing Module on the IoT Platform

    Applies to one-stop pre-integration service scenarios. The customer can create a connection processing module to quickly integrate multiple devices, support the smooth expansion of hundreds of millions of connections, and implement an O&M-free platform.

  • Option 2: Deploying and Migrating an Existing IoT Connection Processing Module on Basic Cloud Services

    Applies to scenarios in which a customer has already developed an IoT connection processing module. The customer can use a series of basic cloud services provided by HUAWEI CLOUD, such as ECS, CCE, ELB, DMS, and DDS, to deploy the existing module on the cloud.

Introduction

The reference architecture of IoT big data can be unified to help customers quickly gain insights into IoT data.

Benifits

  • E2E Process

    E2E IoT data processing capabilities include data injection, real-time processing, storage, analysis and calculation, and mining and presentation.

  • Scenario-based Design

    Cloud services required for different IoT scenarios are provided, including CS for SQL queries, MLS for preventive maintenance modeling, and CloudTable for time series data.

  • Cost-effectiveness

    The most suitable data storage, query, and analysis architectures and solutions are matched according to specific customer requirements. For example, decoupling of computing and storage for non-real-time services can be provided to reduce big data analysis costs.

Introduction

Rich infrastructure as a service (IaaS) and platform as a service (PaaS) layer services facilitate quick creation of IoT applications.

Benifits

  • Basic Scenarios

    ECS and CCE are used to implement bearer and horizontal expansion of application clusters.

  • Intermediate Scenarios

    Highly scalable and reliable middleware services are used to reduce the burden on O&M. Middleware services commonly used in IoT scenarios include RDS, DDS, DCS, and DMS.

  • Advanced Scenarios

    Services such as FunctionStage, ServiceStage, and DevCloud are used, allowing customers to focus on business innovation.

Introduction

Secure cloud management services support efficient IoT application O&M.

Benifits

  • Management and Deployment Services

    Services include core O&M services such as Cloud Eye, LTS, and CTS.

  • Security Services

    DEW encrypts data in block storage and object storage, ensuring the security of IoT data on the cloud. Anti-DDoS and WAF ensure the security of IoT access networks and hosts.

  • Compatible with Leading Automation Platforms

    OpenStack architecture enables compatibility with leading automation platforms (such as Cloud Foundry and Terraform) for easy deployment of applications on HUAWEI CLOUD.

Solution Architectures

Description

Huawei offers a wide range of cloud services, including an IoT platform and big data, security, management, and application services.

Highlights

  • One-stop cloud service combinations

  • IoT scenario–oriented optimization

  • Flexible architecture options

  • Well-developed IoT ecosystem

  • Pre-integrated scenario-specific solutions

  • Cloud-pipe-device synergy

Solution Advantages

  • Scenario-based Solutions

    Pre-integrated and highly adaptable solutions for connected car, public utilities, and predictive maintenance applications

    Pre-integrated and highly adaptable solutions for connected car, public utilities, and predictive maintenance applications

  • Easy Device Access

    Smooth device-platform communication via IoT Agents and OSGi-based cloud inter-networking gateways (CIGs)

    Smooth device-platform communication via IoT Agents and OSGi-based cloud inter-networking gateways (CIGs)

  • Easily Obtained Data Insights

    Value-enhancing E2E data processing capabilities, such as data injection, real-time processing, analysis, and mining

    Value-enhancing E2E data processing capabilities, such as data injection, real-time processing, analysis, and mining

  • Extended Ecosystem

    Extensive IoT application ecosystem with pre-integrated modules and devices from leading IoT vendors

    Extensive IoT application ecosystem with pre-integrated modules and devices from leading IoT vendors