CIIP Industrial Data Center
Core engine for industrial data value creation
One-stop industrial data storage · governance · analytics · application solutions—empowering digital transformation and intelligent upgrades.
End-to-end lifecycle management for massive industrial data—storage, governance, analytics, application, and monetization—with "Data-Driven Smart Manufacturing, Computing Power Empowering Industrial Upgrade" as our core value proposition, building an industrial data super hub.
Module Positioning — Industrial Data Super Hub
Full lifecycle coverage—acquisition, storage, governance, analytics, application, monetization.
Core Positioning
CIIP Industrial Data Center is positioned asIndustrial Data Super Hub, focused on full lifecycle management of massive industrial data—storage, governance, analytics, application, and monetization.
With "Data-Driven Smart Manufacturing, Computing Power Empowering Industrial Upgrade"as the core value proposition—one-stop solutions for manufacturers from data acquisition to value extraction.
Empower EnterprisesBreaking Data Silos, boosting production efficiency, reducing operating costs, optimizing product quality, and achieving digital transformation and intelligent upgrades.
Breaking Data Silos
Unified industrial data management—multi-protocol device access, unified data standards, eliminating information silos.
Unlocking Data Value
AI-driven intelligent analytics—boosting production efficiency and product quality, unlocking deep industrial data value.
Full-stack Services
From infrastructure to application services, technical support to operations training—reducing digital transformation costs.
Core Business Model
Four business models covering the full chain from infrastructure to value sharing.
Rack / server colocation
Tier-III+ IDC colocation with dual power feeds, precision cooling, and 7×24 security—ensuring reliable equipment operation.
Billed by Rack Unit / MonthElastic Compute Leasing
Elastic CPU/GPU compute scaling with pay-as-you-go pricing—supporting industrial LLM training and inference.
Billed by Compute HourEdge compute node leasing
Factory-side edge computing nodes for low-latency real-time data processing—70% bandwidth reduction.
Billed by Node / MonthBasic data service subscription
Foundational services—data acquisition, cleansing, governance, storage—supporting 500+ industrial device protocols.
Billing by device count/data volume/API callsAdvanced analytics service subscription
Industrial AI models, analytics tools, visualization platforms—50+ pre-trained models ready to deploy.
Subscription by feature module / user countIndustry solution subscription
Industry-specific solutions for automotive, electronics, chemicals, and more—ready to deploy.
Subscription based on enterprise scale / production line countData center construction consulting
Full-process data center planning, design, and construction consulting for enterprises.
Fee based on percentage of project valuePrivate data center deployment
Enterprise custom private data centers—turnkey services ensuring data sovereignty.
Project-Based Total PriceData security and compliance services
Security solutions tailored for industrial data—full Classified Protection assessment and compliance auditing.
Pricing by service tier / data volumeProduct Portfolio (System Entry Points)
Three product systems, 9 sub-products—covering the full data lifecycle.
Data infrastructure products
- Lakehouse Unified Storage: Integrates data lake and data warehouse for unified structured and unstructured storage at PB scale.
- Tiered Storage Architecture: Hot data (Ceph RBD, IOPS≥100K, latency <5ms), warm data (Ceph FS/HDFS), cold data (object storage archive)
- Edge Storage Nodes: Local data caching and preprocessing—70% bandwidth reduction, 90% faster response times.
- General Computing Pool: Virtualized CPU compute resources for routine data processing needs.
- AI Computing Pool: GPU/TPU clusters for industrial LLM training and inference—fault prediction, quality inspection, and more.
- Edge-cloud collaborative compute architecture: Edge handles real-time control tasks, center handles complex modeling—efficient compute collaboration.
- Industrial data encryption gateway: Supports data transmission encryption and access control—Classified Protection Level 3 compliant.
- Data masking and anonymization tools: Protect sensitive data—compliant with GDPR, Data Security Law, and more.
- Industrial firewall and intrusion detection system: Security protection for Modbus, OPC UA, and other industrial protocols.
Data governance and analytics products
- Data Collection Tools: Supports OPC UA, MQTT, Modbus, and other multi-protocol device access with acquisition latency <200ms
- Data Governance Platform: Data cleansing, transformation, standardization, lineage analysis—unified data standards.
- Data asset management system: Data catalog, quality monitoring, security auditing—for data asset management.
- Low-Code Analytics Tools: Drag-and-drop interface for non-technical users to rapidly build analytics models.
- Industrial AI Model Library: Built-in 50+ pre-trained models for equipment fault prediction, production optimization, quality inspection, and more.
- Digital Twin Engine: Real-time rendering and physics simulation—virtual production line commissioning, remote equipment O&M.
Industry Application Products
- Predict equipment faults based on vibration, temperature, and other data
- Real-time equipment status monitoring with intelligent alerts
- Analyze production data and optimize process parameters
- Real-time production cycle adjustment to boost line efficiency
- Real-time energy consumption monitoring with efficiency model building
- Intelligently optimize energy strategies to reduce consumption
- Connect upstream and downstream data to optimize inventory and logistics
- Intelligent supply-demand matching to reduce end-to-end costs
Full-Lifecycle Service System
Five stages fully covered—from data access to value monetization
📡 Data Ingestion Services
Device networking, protocol conversion, and data acquisition supporting 500+ industrial devices with full OPC UA/MQTT/Modbus protocol coverage.
Contact Us Now →🧹 Data Governance Services
Data cleansing, standardization, anonymization, quality monitoring—unified data standards and asset catalog.
Contact Us Now →💾 Data Storage Services
Tiered storage, backup recovery, disaster recovery deployment—data availability ≥99.999% with PB-scale elastic expansion.
Contact Us Now →🔍 Data Analytics Services
Model development, algorithm optimization, data visualization—50+ industrial AI models ready out of the box with low-code self-service analytics.
Contact Us Now →🚀 Data Application Services
Application development, system integration, operations & maintenance—7×24 support with MTTR <30 minutes.
Contact Us Now →Data Security & Compliance
Classified protection assessment, security consulting, and compliance auditing
Industrial AI Capability Training
Data analytics, model development, platform usage training
Data Asset Operations
Data value assessment, data product development, data transaction matching.
Industry Solution Consulting
Digital transformation planning, data center construction solution design
Key Differentiators & Implementation Path
Five key differentiators and a four-step implementation roadmap
Differentiated Advantages
Deep Adaptation for Industrial Scenarios
Storage architecture, protocol support, and security designed for industrial data—adapted to complex industrial environments.
Edge-cloud collaborative compute architecture
Edge + center hybrid deployment—low-latency control and complex analytics.
Industry Customization Capabilities
50+ industry model library—rapid customization cutting deployment time by 50%.
Value-Sharing Business Model
Lower initial customer investment—shared data value creation for win-win outcomes.
Full-Stack Service Capabilities
From infrastructure to applications, technical support to operations training—one-stop solutions.
Implementation Roadmap
Infrastructure Layer Building
Deploy industrial storage and compute resources, build data security systems—ensuring data is "stored reliably and stored securely."
Platform Layer Development
Build data middle platform and analytics—foundational data services for data that is "well-governed and easy to use."
Application Layer Expansion
Develop industry applications and customized solutions—delivering data that is "high in value and monetizable."
Ecosystem Layer Building
Partnering with industrial software vendors, equipment manufacturers, and research institutions to build an industrial data ecosystem for "shared ecosystem success."
Quick Access — One-Click Entry to Core Systems
9 core system entry points covering the full data operation chain
Industrial Storage System
Lakehouse storage, tiered architecture management, edge node configuration.
Enter SystemCompute Platform Management
General compute pool, AI intelligent compute pool, edge-cloud collaborative scheduling
Enter SystemSecurity Management System
Encryption gateway, anonymization tools, industrial firewall configuration
Enter SystemIndustrial Data Middle Platform
Data acquisition, governance platform, asset management system
Enter SystemIntelligent Analytics Platform
Low-code analytics, AI model library, digital twin engine
Enter SystemProduction Management System
Process parameter optimization, production cycle adjustment, efficiency analysis
Enter SystemEnergy Consumption Monitoring System
Real-time energy monitoring, efficiency model building, intelligent control
Enter SystemSupply Chain Management System
Upstream/downstream data integration, inventory optimization, logistics coordination
Enter System