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.

Business Challenges

  • Concurrent Access Support

    Diversified protocols complicate access. For reams of collected data to be reported quickly to the cloud, the platform itself must possess high-concurrency processing capabilities.

  • Data Insight Extraction

    IoT involves reams of diverse data from various systems. This requires efficient data processing and analysis to improve operational efficiency and help create new services and business models.

  • Industry Enablement

    As IoT is being applied to traditional industries with inadequate IT capabilities, customers are forced to invest in infrastructure development, resulting in slow service rollouts and market opportunity losses.

  • Security and O&M Efficiency

    Security threats still exist for more complex IoT networks. Efficient O&M is hard to achieve due to the rudimentary monitoring, logging, and data security measures, as well as limited third-party compatibility.

Typical Scenarios

  • Lots of IoT Connections

  • One-Stop Big Data Analytics

  • Diverse Application Enablement

  • Security and O&M Tools

Lots of IoT Connections

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.



One-Stop Big Data Analytics

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.


Diverse Application Enablement

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.


Security and O&M Tools

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

Recommended Solutions

  • Automotive

    Leveraging the advantages of device-pipe-cloud, Huawei Automotive platform provides full-stack cloud services.
  • Predictive Maintenance

    The Manufacturing Predictive Maintenance solution is used for collecting and parsing device data, pre-processing edge computing resources, and performing data modeling and analysis on the cloud.

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

Success Stories

  • Xin Zailing uses HUAWEI CLOUD to support its elevator service platform, which monitors operation and passenger behavior, detects and rectifies faults, and provides emergency response services.
  • France's PSA Group uses the HUAWEI CLOUD portfolio to support the operation of global Connected Car platforms, helping enterprises innovate in service development and offering high-quality services to enterprises and individuals.
  • East Environment Energy mines and analyzes data of new power plants so that power yields can be predicted and new plant sites selected based on geographical information.