SOTHIS-E7: Edge Computing Breakthrough: How the E7 Platform Drives End-to-End Intelligence in Industrial Manufacturing

SOTHIS E7 Edge Computing Platform · FKW Style
SOTHIS E7 Redundant Master-Station Edge Computing Platform
From Edge Computing to a Low-Code Smart Manufacturing PlatformBuilding the Industrial Intelligence Foundation for OT/IT Convergence
Foreword
As Industry 4.0 moves into a more advanced phase, field control, data acquisition, AI analytics, manufacturing execution, and energy management can no longer operate as isolated systems. Centered on a redundant master-station edge computing platform, E7 integrates edge computing, AI gateways, high-capacity storage, and a low-code manufacturing execution platform to help factories build a more flexible and scalable foundation for intelligent operations.
01Product Positioning: An Edge-Cloud Smart Manufacturing Platform for Industry 4.0

E7 is a redundant master-station edge computing platform designed for Industrial Internet scenarios. In the context of deeper OT/IT convergence, it not only performs field data aggregation and edge computing, but can also host a low-code manufacturing execution platform, providing a unified foundation for smart production operations, BT management, AI modeling, PHM, cloud-based visual analytics, energy management, and IoT applications.

Platform PositioningCore Architecture
Redundant master-station edge computing platform for Industrial Internet and smart manufacturing.Distributed edge-cloud architecture supporting hybrid cloud deployment and edge-node collaboration.
Key CapabilitiesCollaboration Target
AI modeling, PHM, big-data analytics, cloud-based visual analytics, EMS, and IoT.Connects with S20 node-type edge computing modules to ingest field-side data.
  • Architecture: Uses a distributed edge-cloud architecture; seamlessly connects with the S20 industrial node-type edge computing module and can also form a standalone hybrid cloud.
  • Capabilities: Integrates field control units, large-scale AI gateways, high-capacity storage, and an intelligent manufacturing execution platform.
  • Applications: Covers industrial scenarios including production, equipment, quality, warehousing, energy, vision, dashboards/reporting, and edge device management.
02Core Features: One Platform Supporting Multi-Scenario Intelligent Applications
Heterogeneous Computing SupportSupports heterogeneous computing resources including CPU, GPU, and FPGA to meet different industrial computing requirements.
Low-Code DevelopmentRapidly builds Industrial Internet applications through configuration-based development, lowering development and deployment barriers.
Microservices ArchitectureSplits industrial software into independently runnable service modules to improve scalability, maintainability, and composability.
Device Connectivity and Remote MonitoringSupports multi-type device connectivity, data acquisition, and remote monitoring to improve equipment utilization and O&M efficiency.
03Applications and Microservices: Turning Industrial Software into Modular Capabilities

The E7 platform decomposes applications into multiple microservices. Enterprises can select, combine, and extend functional modules according to their own business processes, avoiding repetitive procurement, redundant functions, and difficult customization common in traditional industrial software.

Platform Application Coverage
EMSPredictive MaintenanceProduction SchedulingLogisticsQMSSCADAERPCRMSMSEquipment Remote MonitoringSCMEnvironmental MonitoringPCSMESPLMMachine Scheduling
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Basic ModulesProduction PlanningProduction Process
Master data, permission management, AI modeling.Order sync, BOM sync, scheduling, dispatching, capacity balancing, order tracking.Inspection tasks, abnormality alerts, forward/reverse traceability, process control, rework handling.
Warehouse ManagementQuality ManagementProduction Management
Inbound, outbound, location transfer, stocktaking, material return, kitting, inventory discrepancy handling.Incoming inspection, in-process inspection, root cause analysis, customer feedback, rework and scrap.Production reporting, working hours, process parameters, equipment status, packaging error-proofing, ERP/OA sync.
Reports & DashboardsEquipment ManagementDocument/Form Printing
Statistical analysis, project dashboards, standard dashboards, custom dashboards, digital twin.Equipment master records, maintenance support, spare parts management, inspection and maintenance, status alerts.Put-away slips, handover slips, work orders, serial numbers, picking lists, packing lists, feeding sheets.
04Equipment Predictive Maintenance: A Closed Loop from Data Acquisition to Maintenance Recommendations

Across the full equipment lifecycle from commissioning to retirement, asset health inevitably degrades. E7 can work with S20 edge computing modules and field sensors, PLCs, or equipment interfaces to collect field-side data such as temperature, pressure, and operating status, and build a predictive-maintenance closed loop through AI modeling.

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① Data Acquisition② Data Cleansing
Collects field-side data via OPC UA, MQTT, Modbus TCP, Modbus RTU, TCP, HTTP, and other protocols.Handles duplicates, missing values, errors, and outliers; performs data transformation, standardization, and feature selection.
③ Data Analysis④ Model Building
Uses descriptive analysis, exploratory analysis, data visualization, and machine learning to identify operating patterns.Builds maintenance models using regression, decision trees, random forests, K-nearest neighbors, or deep learning algorithms.
⑤ Training and Validation⑥ Fault Prediction
Trains models on historical data and validates prediction accuracy with real-time data.Monitors equipment in real time to predict potential fault types, occurrence time, and impact range.
⑦ Maintenance Recommendations⑧ Continuous Updates
Outputs condition assessments, maintenance plans, preventive measures, cost estimates, and effectiveness evaluations.Periodically updates models as new data is generated and continuously monitors model performance.
05Key Applications: Smart Manufacturing, Visual Analytics, Energy Management, and Equipment Location
Smart Manufacturing

Uses intelligent equipment, process visualization, data analytics and mining, intelligent scheduling, and quality control to improve efficiency, reduce costs, and ensure product quality.

Energy Management System

Covers energy monitoring, optimization, management, report analytics, energy forecasting, and energy-consumption diagnostics to improve energy efficiency.

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06Ecosystem Compatibility: Covering Discrete and Process Manufacturing
Automotive Manufacturing

Collects real-time production-line and equipment data; supports historical data queries, fault data queries, process data queries, and fault alerts.

Semiconductor Manufacturing

Uses energy data analytics, intelligent control, and load management to reduce energy costs and improve energy-use safety and environmental quality.

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07Hardware Specifications Reference
ItemSpecification / Configuration
CPU2 x Intel Xeon 8-core CPUs
RAM64 GB memory
TypeRack server
Chassis Specification2U rackmount chassis
Storage Capacity128 TB
Power Supply TypeRedundant
Operating SystemLinux
Network ControllerExpandable Gigabit / 10-Gigabit Ethernet interfaces
Application ScopeAI, AI modeling, equipment predictive maintenance, big-data analytics, cloud-based visual analytics, video intelligence, IoT, distributed applications, edge device management
Edge NodesSupports management of up to 1,024 edge devices
Server Quantity32-node cluster
Cloud TypePublic cloud / private cloud / hybrid cloud
Conclusion
The value of E7 lies not merely in edge computing hardware. Built on an edge-cloud architecture, it connects data acquisition, AI models, industrial microservices, manufacturing execution, energy management, and edge device management into a composable, scalable, and continuously evolving industrial intelligence platform. For the factory of the future, E7 helps enterprises move from single-point digitalization to full-chain intelligence.
ADD:Building 15, Lane 258, Yinlong Road, Jiading District, Shanghai
TEL:021-59583885
Building the Autonomous Industrial Brain for Every Factory