Mitsubishi EDGECROSS Edge Computing Platform — SW1DND-EDGCORE-M

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Mitsubishi EDGECROSS Edge Computing Platform

Model: SW1DND-EDGCORE-M

Host Platform: Windows 10/11 IPC or MELIPC MI3000Data Collection Rate: 1 ms (native PLC scan cycle)Connectivity: SLMP, OPC-UA, MQTT, REST API, TCP/IPAI Inference: ONNX format model execution at edge
Available — Ships within Saudi Arabia
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SW1DND-EDGCORE-M — Mitsubishi EDGECROSS Edge Computing Platform

The Mitsubishi EDGECROSS Basic Software (SW1DND-EDGCORE-M) is an open edge computing platform deployed on Windows-based industrial PCs or Mitsubishi's own MELIPC MI3000 edge computer, designed to collect, pre-process, and redistribute real-time data from Mitsubishi automation equipment — including iQ-R PLCs, MELSEC Q PLCs, GOT2000 HMIs, MELDAS CNC systems, and MELFA robots — and third-party equipment connected via OPC-UA, SLMP (Seamless Message Protocol), or generic TCP/IP interfaces. Unlike traditional SCADA data historians that poll data at 1–5 second intervals, EDGECROSS collects data at the native PLC scan cycle (as fast as 1 ms) and executes pre-processing functions — filtering, aggregation, statistical calculation, and AI inference — at the edge before transmitting distilled results to cloud platforms or on-premises MES systems, reducing cloud data transfer volumes by up to 95% while preserving the high-frequency signal detail required for anomaly detection and predictive maintenance.

EDGECROSS's AI inference engine supports ONNX-format machine learning models trained on historical production data and deployed as real-time quality prediction or anomaly detection services running directly on the edge device. This capability is directly applicable to Saudi Arabia's quality-critical manufacturing sectors: pharmaceutical tablet weight control at Riyadh pharma facilities, weld seam quality prediction at Saudi Aramco pipeline fabrication shops, and surface defect classification on aluminium extrusion lines at Saudi Building for Industry (SBI) facilities can all deploy ONNX-format convolutional neural network models on the EDGECROSS platform without cloud round-trip latency. The platform's data collection can be distributed across multiple edge nodes, each handling a subset of the plant automation devices, and the collected data can be published simultaneously to multiple consumers — local HMI dashboards, on-premises production databases, and cloud analytics — using standard MQTT and REST API interfaces.

Saudi Arabia's push to implement Industry 4.0 capabilities under Vision 2030's Smart Industry Programme and the Saudi Authority for Industrial Cities and Technology Zones (MODON) digital factory initiative creates a clear market for EDGECROSS deployments in the Kingdom. The ARAMCO digital spine programme, which mandates real-time production data availability at the enterprise level for all operated facilities, is driving EDGECROSS installations at EPC contractors' skid-mounted process modules before site delivery. SABIC's ITHRAA digital platform and KACST's advanced manufacturing research programme have both piloted EDGECROSS in laboratory and pilot plant environments, validating the architecture for scale-out to full production deployments. The platform's NDMO-compliant data governance features — including data lineage tracking, role-based access control, and audit logging — align with Saudi Arabia's National Data Governance Interim Regulation issued in 2020.

Razz Middle East provides EDGECROSS deployment services including device driver configuration for Mitsubishi and third-party automation equipment, ONNX model deployment assistance, MQTT topic design, and integration with Saudi customers' existing MES and ERP (SAP, Oracle) systems. We have completed EDGECROSS pilot deployments at two SABIC affiliates and one ARAMCO EPC project. Full engineering support, Arabic-language training, and 12-month software maintenance contracts are available. Contact our Riyadh digital solutions team for a no-obligation architecture review.

Technical Specifications

Full specifications for the SW1DND-EDGCORE-M

Host Platform
Windows 10/11 IPC or MELIPC MI3000
Data Collection Rate
1 ms (native PLC scan cycle)
Connectivity
SLMP, OPC-UA, MQTT, REST API, TCP/IP
AI Inference
ONNX format model execution at edge
Cloud Targets
AWS, Azure, on-premises MES/historian
Data Reduction
Up to 95% cloud transfer volume reduction
Security
Role-based access, audit logging, TLS encryption
Supported Mitsubishi Devices
iQ-R, MELSEC Q, GOT2000, MELFA, MELDAS

Key Features & Benefits

  • 1 ms data collection at native PLC scan cycle captures high-frequency signal transients invisible to conventional 1–5 second SCADA polling for anomaly detection applications.
  • ONNX-format AI inference engine runs quality prediction and defect detection models directly at the edge, eliminating cloud round-trip latency for real-time production decisions.
  • Up to 95% reduction in cloud data transfer volume through edge pre-processing, aggregation, and filtering — significantly reducing monthly cloud data transfer costs.
  • Simultaneous data publication to local HMI dashboards, on-premises production databases, and multiple cloud analytics platforms via MQTT and REST API.
  • NDMO-compliant data governance features — lineage tracking, role-based access control, and audit logging — align with Saudi Arabia's National Data Governance Interim Regulation.
  • Open platform architecture connects to third-party PLC, DCS, and instrumentation via OPC-UA alongside native Mitsubishi SLMP protocol.

Industrial Applications in Saudi Arabia

  • Real-time production data extraction for ARAMCO digital spine programme, providing enterprise-level process KPI visibility from EPC skid-mounted automation systems.
  • Edge AI quality prediction on pharmaceutical tablet weight, weld seam quality, and surface defect classification at Saudi manufacturing facilities without cloud latency.
  • SABIC ITHRAA digital platform data feed from MELSEC Q and iQ-R automation systems at Jubail and Yanbu petrochemical production lines.
  • Predictive maintenance model deployment for MELDAS CNC machine tool spindle vibration and servo current anomaly detection at Saudi precision machining workshops.
  • Energy consumption monitoring and reporting from CC-Link IE TSN drives and smart meters at MODON digital factory pilot sites under Vision 2030 smart industry programme.

Industrial Supplier in Saudi Arabia

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