Data collection Web platform SMore Data

data storagedata managementmonitoring

Product overview
SMore Data, developed by SmartMore, is a big data platform designed for manufacturing and industrial enterprises. It delivers end-to-end data capabilities covering integration, development, governance, assets, visualization and secure operation to support the full data lifecycle and industrial decision-making.

Major advantages

• Breaks industrial data silos by building a unified data asset system to extend digital services and enable cost reduction, quality improvement, efficiency gains and personalized intelligent production.
• One-stop platform deployment with a unified middle-platform design covering data integration, development, assets, governance, services and visualization; high compatibility with mainstream storage and computing platforms.
• Secure, stable and high-performance architecture based on decentralized distributed design supporting dynamic cluster expansion; in-house core modules for storage, computation, transmission and exchange with resource isolation, access control, audit logging, process control, data encryption and multi-replica storage.
• Built-in industrial data intelligence: ready-to-use interfaces and components such as knowledge base management, model and algorithm libraries, model pool and training pool to accelerate industrial big data development.

Core functions

• Data integration: stable, efficient and scalable synchronization and high-speed, reliable transfer across heterogeneous enterprise networks.
• Data development: visual development environment for interactive querying, offline/real-time processing, machine learning and project management.
• Data assets: data cataloging, standardization, discoverability, lineage and accessibility to support assetization and value realization.
• Data governance: unified visual services for service development, subscription, distribution, invocation, operation, quality, security and lifecycle management; supports secure external data consumption.
• Data visualization: configurable visual applications for dashboards, alerts, large-screen displays and analysis.
• Security operation and maintenance: operation dashboards, intelligent diagnostics, resource O&M and multi-dimensional security operation controls.

Technical specifications

• Target: manufacturing and industrial enterprises (industrial big data scenarios).
• Functional scope: data integration, data development, data assets, data governance, data services, data visualization, secure O&M.
• Architecture: decentralized distributed architecture supporting dynamic cluster node expansion; in-house core systems for storage, computation, transmission and exchange.
• Security: resource isolation, access control, audit logging, process control, data encryption and multi-replica storage for reliability and data protection.
• Deployment: one-stop platform with high compatibility for mainstream storage and computing platforms; supports integration of heterogeneous data sources.
• Built-in intelligence: knowledge base management, model and algorithm libraries, model pool and training pool with user-friendly visual interfaces to reduce development overhead.