SOTHIS STS-S20 Industrial Node Edge Computing Module
Enabling Industrial Data Collection, Processing, Decision-Making, and Response Directly On Site
1. Product Overview
The STS-S20 Industrial Node Edge Computing Module is a high-performance edge intelligence device developed by SOTHIS for industrial environments.
The product adopts an integrated hardware-software architecture based on a heterogeneous AI computing platform. Through coordinated operation of CPUs, GPUs, NPUs, and other computing units, it enables flexible scheduling and intelligent allocation of hardware resources.
STS-S20 integrates industrial protocol connectivity, data acquisition, edge computing, local storage, data forwarding, PLC control, AI analytics, and cloud connectivity. It can be deployed close to equipment or production lines, allowing data to be collected, processed, evaluated, and acted upon directly on site while reducing reliance on cloud platforms and central servers.
The product supports both x86 and ARM architecture options and can be used in industrial automation, intelligent buildings, intelligent transportation, the Internet of Things, and intelligent equipment upgrade scenarios.
2. Core Highlights
✅ Heterogeneous AI Computing for Enhanced On-Site Processing
The ARM version uses a quad-core Cortex-A53, Cortex-M7, GPU, and NPU heterogeneous computing architecture. With AI computing performance of at least 2.3 TOPS, it supports equipment data analytics, anomaly recognition, vision inspection, and lightweight AI model operation.
✅ Multi-Protocol Connectivity for Unified Industrial Device Access
It supports industrial protocols including OPC UA, MQTT, Modbus TCP, Modbus RTU, CANopen, S7, BACnet, TCP/IP, and HTTP. It can centrally connect PLCs, sensors, instruments, robots, and other field devices.
It supports up to 256 connected devices and 2,048 data points, helping enterprises address fragmented protocols, equipment, and data.
✅ Real-Time Edge Processing for Reduced Transmission Latency
Data aggregation, cleansing, analysis, and response can be completed close to equipment or production lines without uploading all raw data to the cloud, reducing network transmission loads and response latency.
Based on predefined rules or AI models, the system can make local decisions and automatically perform exception alerts, equipment parameter adjustments, and control command execution.
✅ Local Storage and Interrupted-Transfer Resumption for Data Integrity
The device provides 4 GB of memory, 32 GB of eMMC storage, and SD card expansion of up to 256 GB. It supports data buffering, local storage, historical databases, and time-series databases.
When network fluctuations or communication interruptions occur, data can be temporarily stored locally and uploaded after the connection is restored, reducing the risk of industrial data loss.
✅ Integrated PLC and AI Gateway Functions
STS-S20 integrates PLC control capabilities with AI gateway, data buffering, remote management, and edge application functions.
Enterprises can complete equipment control, data acquisition, edge analytics, and cloud connectivity without separately deploying controllers, gateways, and data acquisition devices.
✅ Extensive Industrial Interfaces for Flexible Field Device Connectivity
The product provides three Gigabit Ethernet interfaces, three USB 3.0 interfaces, one RS232 serial interface, and one RS485 serial interface, supporting a wide range of field devices and industrial peripherals.
✅ Industrial-Grade Design for Harsh Environments
The product uses an aluminum alloy enclosure and PCB conformal coating. It operates from -40°C to 85°C and supports non-condensing humidity from 5% to 95%.
It uses a 24 VDC industrial power supply with typical power consumption of approximately 8 W, making it suitable for long-term deployment inside control cabinets, on equipment, and along industrial production lines.
✅ Multi-Layer Security for Data and Equipment Protection
The product supports role-based access control, ACL access control, digital certificates, tokens, and username-and-password authentication. Data encryption, SSL/TLS secure communication, security auditing, and log recording help protect device access, data transmission, and application operation.
3. Main Functions
3.1 PLC Control Unit
The integrated programmable logic control function can be used to control industrial equipment and automation systems. It supports field device connectivity through standard industrial communication protocols for data acquisition, logic processing, and control command execution.
3.2 AI Gateway
The gateway can aggregate, process, and forward data from multiple terminal devices. It also supports device status monitoring, remote configuration, remote updates, and control command execution.
The system can make rapid decisions based on local data and predefined rules or upload processed key data to the cloud or STS-E7 platform for further analysis.
3.3 Data Buffering Unit
It supports data buffering, local storage, real-time forwarding, historical databases, and time-series databases. Field data can be classified, indexed, backed up, and restored, providing a reliable data foundation for subsequent queries, analysis, and model training.
3.4 Edge Application Domain
It supports on-site operation of edge applications for equipment monitoring, quality inspection, energy management, and anomaly analysis. It can also run lightweight AI algorithms and tools.
Applications can run independently or work with STS-E7 to transfer key data and analysis results to the enterprise platform.
3.5 Location and Equipment Management
The system records device locations, operating areas, and operating status for asset management, safety zone monitoring, environmental sensing, and fault location.
In logistics and warehousing scenarios, it can also work with AGVs and other mobile equipment to support equipment navigation and transport route planning.
4. Detailed Specifications
4.1 Basic Specifications
Enclosure material: Aluminum alloy
Dimensions: 240 × 137 × 60 mm
Operating temperature: -40°C to 85°C
Operating humidity: 5% to 95%, non-condensing
PCB protection: Conformal coating
External operating voltage: 24 VDC
Internal operating voltage: 5 VDC
Power consumption: Approximately 8 W
Grounding: Fully grounded metal enclosure
4.2 Computing and Storage
ARM computing architecture: Quad-core Cortex-A53 + Cortex-M7 + GPU + NPU
AI computing performance: At least 2.3 TOPS
Memory: 4 GB
eMMC storage: 32 GB
SD card expansion: Up to 256 GB
4.3 Data Acquisition and Forwarding
Acquisition protocols: OPC UA, MQTT, Modbus TCP, Modbus RTU, CANopen, S7, BACnet, TCP/IP, HTTP, and others
Forwarding protocols: OPC UA, MQTT, Modbus TCP, TCP/IP, HTTP, and others
Data points: No more than 2,048
Connected devices: No more than 256
Remote I/O logical points: No more than 2,048
4.4 Interface Configuration
Ethernet interfaces: Three Gigabit Ethernet interfaces
USB interfaces: Three USB HOST interfaces supporting USB 3.0
Serial interfaces: One RS232 interface and one RS485 interface
4.5 Coordination Capabilities
Gateway coordination: Supports coordinated connectivity for different types of terminal devices
Edge-cloud coordination: Supports centralized management through cloud servers and the STS-E7 platform
Application coordination: Supports data and command interaction among on-site applications, edge nodes, and enterprise platforms
5. Application Areas
Equipment Operating Status Monitoring
It collects equipment operating parameters and status data in real time and supports local anomaly analysis, remote monitoring, equipment data analysis, and exception alerts.
Production Quality Monitoring
It connects vision inspection and quality inspection equipment to collect and analyze product appearance, performance parameters, and inspection data, automatically generating inspection results and quality reports.
Energy Monitoring and Analysis
It collects electricity, water, gas, and other energy data from individual equipment or complete production lines, identifies high-energy-consumption equipment and abnormal energy consumption points, and provides data support for energy optimization.
Production Cycle and Scheduling Support
The STS-S20 cluster collects field equipment data and works with STS-E7 to receive production cycle and scheduling tasks, delivering optimized instructions to the relevant production equipment.
Industrial Internet of Things and Intelligent Equipment Management
It is suitable for industrial automation, intelligent buildings, intelligent transportation, warehousing and logistics, AGV management, and IoT device connectivity, supporting equipment connectivity, location management, and edge coordination.
STS-S20 combines the functions of a traditional industrial gateway, PLC, data acquisition device, local storage unit, and AI computing platform within a single industrial node. Industrial data is no longer simply collected and uploaded; it can be analyzed, evaluated, and converted into control actions directly at the production site.
For more product information, please contact SOTHIS representatives.
