Baidu AI Cloud Public Sector China Translated from Chinese

Guiyang Economic Development Zone

Predictive Maintenance · Real-time Analytics

Guiyang Economic Development Zone needed a regional platform that could move hundreds of factories onto AI-assisted, cloud-connected operations so it could improve safety, maintenance, and energy efficiency while building a larger digital-manufacturing cluster.

One maintenance provider added 8 new cooperative customers after joining the platform.
One participating company saved nearly CNY 100,000 in electricity costs since May.
The platform has already provided device-cloud, data-processing, and enterprise-application services to 100+ enterprises.
The program targeted 400+ industrial enterprises for industrial-internet transformation.

Reported impact

Business outcome

The zone gained a shared industrial-internet foundation that improves safety supervision, enables more precise maintenance, reduces energy costs for participating firms, and helps grow the broader regional manufacturing ecosystem.

  • Cost Reduction
  • Productivity Improvement
  • Scalability

Solution

Guiyang Economic Development Zone used Baidu AI Cloud's Kaiwu Industrial Internet Platform to create a zone-level operating layer for industrial digital transformation. The program targeted more than four hundred industrial enterprises and has already delivered device-cloud, data-processing, and enterprise-application services to over one hundred companies. On the shop floor, AI safety-inspection capabilities watch key areas and flag clothing or electrostatic-protection violations with instant red-light warnings, while temperature-and-humidity monitoring and cloud energy-control analysis track operating conditions and energy consumption. The same platform also supports maintenance workflows: when a connected enterprise sees an equipment alarm, it can upload fault photos so service partners can diagnose the issue and perform more precise repair. Together, these services make Kaiwu a shared industrial backbone for safety, efficiency, and ecosystem growth across the zone.

Data flow

Equipment, camera, and environmental data from connected factories flows into the Kaiwu platform, where safety models detect violations and energy analytics evaluate temperature, humidity, and power use. Alarm photos and warnings are then routed to enterprise operators and maintenance providers so they can intervene, repair equipment, and optimize operating costs.

Solution architecture

4 components · 3 layers
  1. Compute
    • AI Safety Inspection Uses AI monitoring to identify unsafe workshop behavior and trigger immediate warnings.
  2. Serving
    • Industrial Internet + Safe Production Packages the zone's safety-production services on top of the platform for participating manufacturers.
    • Cloud Energy Management Analytics Analyzes environmental conditions and energy consumption to support savings and more stable equipment operation.
  3. Orchestration
    • Kaiwu Industrial Internet Platform Provides the shared industrial backbone that connects enterprises, data services, and operational applications across the zone.

Architecture clues

  • AI safety inspection watches key workshop areas and issues immediate red-light warnings for violations.
  • Maintenance workflows use uploaded equipment alarm photos to support more precise diagnosis and repair.
  • The platform combines environmental monitoring with cloud-based energy-control analysis.

Evidence from the source

Baidu AI Cloud deployed industrial internet capabilities in Guiyang Economic Development Zone and has already provided device-cloud, data-processing, and enterprise-application services to more than 100 enterprises (original: 百度智能云在贵州省贵阳市经济技术开发区部署工业互联网,已经为100多家企业提供设备上云,数据处理和企业应用服务).
Baidu won the zone's industrial-internet project in 2020 and planned to transform more than 400 industrial enterprises (original: 2020年9月,百度中标贵阳经开区工业互联网项目,将对贵阳经开区400多家工业企业实施工业互联网的改造).
Cloud-based temperature, humidity, and energy-control analysis helps reduce energy use and prevent transformer overload or other abnormalities (original: 工业互联网平台上的温湿度监控分析…云端的能源管控分析着能源消耗,为节能降耗提供依据,预防变压器超载等异常情况保护设备安全运转).
One company reported nearly CNY 100,000 in electricity savings, and another added 8 cooperative customers through precise maintenance enabled by uploaded alarm photos (original: 自5月以来,通过平台分析提供的解决方案,我们节约了近10余万元的电费 / 同时通过平台上传设备报警照片,我们根据预警情况,进行精准维修…新增了8家合作客户).
The AI safety-inspection system can repeatedly warn at second-level speed when workers enter without proper clothing or procedures (original: 随处可见的“眼睛”能实时捕捉工人行为…可实现秒级速度反复提醒,为安全生产保驾护航).
Transparency Evidence & methodology 85/100 reference value · 89% 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 value85/100
  • 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 specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • 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
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    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. Baidu AI Cloud

    Guiyang Economic Development Zone customer story

    First-party
    https://cloud.baidu.com/customer/case/guiyangjingji.html
    Source type
    Vendor-published customer story
    Published
    May 14, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page May 14, 2025 · Baidu AI Cloud · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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