Tencent Cloud Public Sector China Translated from Chinese

Ningxia Hui Autonomous Region Integrated Media Platform (宁夏回族自治区融媒体平台)

Real-time Analytics

Ningxia needed a province-level media platform that could secure the entire content lifecycle, raise production efficiency with AI, and use big data to coordinate news, government, and public-service content across multiple regional media organizations.

It connected central, regional, city, and county media across four administrative levels.
It serves 16 prefecture-level cities and 129 districts and counties.
The platform completed construction and entered trial operation in October 2020.

Reported impact

Business outcome

The platform gave Ningxia a unified media-production and publishing foundation with stronger safety controls, higher production efficiency, province-wide resource sharing, and data-driven recommendation and public-opinion insight for public communication services.

  • Compliance
  • Productivity Improvement
  • Scalability

Solution

Tencent Cloud built the Ningxia Hui Autonomous Region Integrated Media Platform as a province-wide 'news + government + service' stack. Cloud computing, big data, 4K workflows, and AI are combined so content can be collected, produced, reviewed, distributed, and monitored on one platform instead of across siloed local systems. Media AI performs intelligent recognition, smart editing, automated review, and video quality inspection to raise production efficiency while keeping content-safety controls in place. A microservice-based data middle platform aggregates public-opinion signals and user-profile data for recommendation and decision support. Underneath, Cloud Server, Object Storage, File Storage, and Load Balancer provide elastic compute, shared storage, and traffic distribution for county and provincial media workloads. The platform therefore supports multi-channel aggregation, intelligent audio/video processing, multi-platform publishing, and province-wide collaboration.

Data flow

Content from regional media organizations is aggregated into the integrated platform, where Media AI handles recognition, editing, review, and video quality inspection before publication. The microservice-based data middle platform combines content, public-opinion, and user-profile data to power recommendation and analysis, while Cloud Server, storage services, and Load Balancer support multi-platform delivery across the province.

Solution architecture

6 components · 4 layers
  1. Compute
    • Media AI Runs intelligent recognition, editing, review, and video quality inspection for media-production workflows.
    • Cloud Server Provides elastic compute for the integrated media platform and its publishing services.
  2. Storage
    • Object Storage Stores large media assets and cloud content safely at scale.
    • File Storage Supplies shared file services for collaborative media workflows.
  3. Serving
    • Load Balancer Distributes traffic across media services and publishing endpoints.
  4. Orchestration
    • microservice-based data middle platform Aggregates data and user profiles to support public-opinion analysis and accurate content recommendation.

Architecture clues

  • County media centers can use multi-channel aggregation, intelligent audio and video processing, and multi-platform publishing from the shared platform.
  • Security controls cover the full path from content aggregation to content publication.
  • The platform was described as a benchmark case for provincial media infrastructure in China.
  • The platform was positioned as a 'news + government + service' integrated media stack.

Evidence from the source

In October 2020 the platform completed construction and entered trial operation, realizing connectivity across central, regional, city, and county media and full sharing of media resources and user data (original: 宁夏自治区融媒体平台于2020年10月建设完成投入试运行,实现了中央、区、市、县四级媒体贯通、打通、融通、联通,全区媒体资源和用户数据共享的全新格局).
Media AI uses intelligent recognition, intelligent editing, intelligent review, and video quality inspection, while the microservice-based data middle platform supports public-opinion aggregation and user-profile-based recommendation (original: 媒体 AI 方面采用基于腾讯先进 AI 算法模型的智能识别、智能编辑、智能审核和视频质检…大数据方面以基于微服务的数据中台为基础,实现了基于海量数据的舆情汇聚、基于用户画像的精准内容推荐).
The platform needed a complete security system covering unified end-to-end monitoring from aggregation security to publication security (original: 在安全方面需要在满足全链路统一监控的基础上,流程上建立从汇聚安全到发布安全,架构上从基础架构安全到内容安全的完善的安全体系).
The project uses cloud computing, big data, 4K, and AI to build a leading new integrated media platform for 'news + government + service' (original: 该项目运用云计算、大数据、4K、AI 等创新技术,打造了领先的“新闻+政务+服务”的新型融合媒体平台).
Transparency Evidence & methodology 71/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value71/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Tencent Cloud

    Ningxia Hui Autonomous Region Integrated Media Platform (宁夏回族自治区融媒体平台) customer story

    First-party
    https://cloud.tencent.com/customer/nxhz
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.