SOTHIS STS-E7 Redundant Main Station Edge Computing Module
An Intelligent Computing and Application Hub for Industrial Sites
1. Product Overview
The STS-E7 Redundant Main Station Edge Computing Module is a high-performance industrial intelligence platform developed by SOTHIS for Industry 4.0 and IT/OT integration scenarios.
It integrates high-performance computing, large-capacity storage, cluster management, edge node management, and an industrial low-code application platform. Based on a containerized distributed edge-cloud architecture, it connects upward to enterprise information systems or cloud platforms and downward to PLCs, sensors, and other field devices. It also works seamlessly with the STS-S20 Industrial Node Edge Computing Module.
With STS-E7, enterprises can centrally run applications for intelligent production, AI modeling, predictive equipment maintenance, big data analytics, vision analytics, energy management, and the Industrial Internet of Things, creating a coordinated cloud-edge-device architecture covering field data acquisition, edge computing, and enterprise decision-making.
2. Core Highlights
✅ Redundant Main Station for Reliable Core Operations
The platform uses 2U rack-mounted servers with redundant power supplies. Equipped with dual 8-core Xeon processors, 64 GB of memory, and 128 TB of storage, it provides a stable operating foundation for production management, data analytics, and industrial applications.
✅ Cluster-Based Computing Power for Industrial AI
It supports heterogeneous computing resources, including CPUs, GPUs, and FPGAs. Computing capacity can be expanded through cluster deployment to support complex tasks such as AI modeling, machine learning, big data analytics, vision recognition, and equipment health management.
✅ Containerized Microservices for Flexible Application Configuration
Based on a containerized microservices architecture, the platform separates industrial software into independent functional modules. It supports application publishing, deployment, version control, repository management, service governance, and circuit breaking.
Enterprises can select and combine functions according to their actual business requirements, quickly building customized industrial applications while reducing duplicate software procurement and development costs.
✅ Low-Code Development for Faster Application Deployment
Through low-code configuration and algorithm tool scheduling, enterprises can quickly build applications for production management, equipment management, quality management, energy management, and AI analytics, reducing industrial software development complexity and deployment time.
✅ Cloud-Edge-Device Coordination and Centralized Field Node Management
STS-E7 works together with STS-S20 and other edge devices. It supports centralized management of up to 1,024 edge devices, including device status, data transmission, application operation, and exception alerts, enabling distributed production lines and equipment to form a complete edge computing network.
✅ Multiple Deployment Options for Flexibility and Data Security
The platform supports public cloud, private cloud, and hybrid cloud deployment. It can be configured according to an enterprise’s existing IT architecture, data security requirements, and business scale, and can be integrated with existing ERP and MES systems.
3. Main Functions
STS-E7 provides the following core functions for industrial application operation and edge infrastructure management:
Workload management and computing resource scheduling
Microservice governance, monitoring, and circuit breaking
Application publishing, deployment, upgrading, and version management
Multi-dimensional operation monitoring and exception alerts
Integration with open-source and commercial storage and network services
Centralized management of STS-S20 and other edge nodes
Device location management and rapid fault location
Redundant large-scale PLC main station applications
Industrial data integration, analytics, and visualization
AI model development, training, validation, and continuous updating
The platform covers nine major application modules: basic functions, production planning, production processes, warehouse management, quality management, production management, reports and dashboards, equipment management, and document printing. These modules can be flexibly combined according to enterprise requirements.
4. Detailed Specifications
4.1 Single-Server Configuration
CPU: Two 8-core Xeon processors
Memory: 64 GB
Storage capacity: 128 TB
Device type: Rack-mounted server
Chassis specification: 2U rack-mounted
Power supply: Redundant power supply
Operating system: Linux
Network interfaces: Expandable Gigabit and 10-Gigabit network interfaces
4.2 Cluster and Node Management
Cluster scale: Supports 32 servers
Edge nodes: Supports centralized management of 1,024 edge devices
Cloud deployment types: Public cloud, private cloud, and hybrid cloud
Architecture: Containerized, microservices-based, distributed edge-cloud architecture
4.3 Supported Applications
Artificial intelligence and AI modeling
PHM predictive equipment maintenance
Big data analytics
Cloud-based vision and intelligent video analytics
Energy management systems
Industrial Internet of Things applications
Distributed industrial applications
Centralized edge device management
5. Application Areas
STS-E7 is suitable for automotive manufacturing, component manufacturing, semiconductor manufacturing, and process manufacturing. It can be used for:
Collaborative management of production orders, processes, and capacity
Equipment operation monitoring and fault prediction
Production cycle analysis and exception alerts
Product quality traceability and process control
Warehouse logistics and material distribution management
Energy data monitoring, analysis, and optimization
Industrial vision recognition and safety monitoring
Centralized edge node management across multiple factories and production lines
From field device connectivity to data aggregation, intelligent analytics, and production decision-making, STS-E7 helps enterprises connect industrial sites with enterprise management systems, enabling computing power, data, and applications to work together and creating a scalable, configurable, and continuously optimizable industrial intelligence platform.
For more product information, please contact SOTHIS representatives.
