Edge computing accelerates real-time decision making and
Supports proactive maintenance

With implementation of Industry 4.0, vibration analysis algorithms supported by cloud server architecture enable easy prediction of potential problems to adopt preventive action. As well, equipment maintenance or replacement can be executed preemptively, significantly enhancing efficiency. ADLINK's innovative equipment status monitoring edge computing platform delivers complete and comprehensive data acquisition, analysis, and upload. The real-time analytics can be sent to the data center, by upload to the cloud and fast connection to the ERP/MES upper layer application system. Effective dynamic preventive maintenance strategies can be generated according to machine operation status in real-time, improving equipment reliability.

Related Publication

Brochure

Intelligent Machine Condition Monitoring Solution
Application Story

ADLINK Introduces an Easily Integrated, Complete and Remote Vibration Monitoring Solution
Brochure

Edge Computing Platforms Enabling Data-to-Decision

Use Cases

Production Efficiency Optimization
Production information monitoring; Availability / uptime management

Simple, Speedy Deployment

Unlike conventional combination-based solutions,
ADLINK’s MCM series adopt an integrated design, providing complete data acquisition, highly accurate real-time analysis and data upload, along with connection to information database, for complete equipment status monitoring and analysis.
Deployment in the environment is significantly streamlined, reducing development time.

Complete single-operation data acquisition,
analysis and upload

Data acquisition, execution of domain
algorithm, use of data analysis, direct
conversion of machine status, use of
trend analysis, warning alert and upload.

Seamless OT/IT
end-to-end connection

Capable of connecting to ADLINK Edge™
architecture, no programming is required to
achieve fast connection with third party
cloud platforms. ADLINK Data Rive™ live data
streaming architecture enables deployment
of multiple scenes more easily.

Remote equipment overview
information dashboard

Providing equipment monitoring acquiring
machine information, status, and alarm
information in real time, with download of
historical data records and equipment
maintenance information fully supported.

Product Highlights

MCM-100

Intel Atom® x7-E3950 Processor-Based Machine Condition Monitoring Edge Platform

MCM-204

Standalone Ethernet DAQ with 4-ch AI, 24-bit, 128KS/s, 4-ch DI/O performance

Edge IoT Solution

Connect, stream and control your data - whatever equipment, systems and cloud platform you use. All in real-time.

AdvancedTCA 스위치 블레이드

aTCA-3430

3U CompactPCI 시리얼 블레이드

cPCI-A3525

CompactPCI/PlusIO/Serial

cPCI-6636

Embedded Flash Storage

2.5 inch SATA SSD Series

머신 비전 AI

Smart Pallet

COM-HPC Server Type

COM-HPC Ampere Altra

AdvancedTCA 스위치 블레이드

aTCA-3430

ADLINK Edge SDK

Edge SDK

의료용 패널 PC & 디스플레이

MLC-AL/ MLC-KL

Extreme Outdoor Servers

SETO-1000

COM Express Type 6

Express-TL

Mini-ITX 마더보드

AmITX-SL-G

Edge 서버

MECS-6110

머신 상태 모니터링

MCM-204

임베디드 MXM 모듈

EGX-MXM-T1000

임베디드 MXM 모듈

EGX-MXM-T1000

확장형 팬리스 임베디드 PC

MVP-6100

모션 컨트롤

PCIe-8158

Industrial Monitors

OM Series

Preliminary

Edge 서버

MECS-6110

딥러닝 추론 플랫폼

DLAP-301-JNX

Preliminary

Edge 서버

PCIe-ACC100

비전 시스템

EOS-JNX Series

Industrial Monitors

IM-215

Preliminary

머신 비전

PCIe-U300 Series

통합형 팬리스 임베디드 PC

MVP-5100-MXM

임베디드 MXM 모듈

EGX-MXM-RTX3000

VPX 3U 프로세서 블레이드

VPX3020

Data Acquisition (DAQ)

USB-2401

네트워크 보안 어플라이언스

CSA-7400

ATX Motherboards

IMB-M45

Preliminary

COM Express Type 7

Express-ID7

Preliminary

러기드 SFF 플랫폼

HPERC-KBL-MH

ROS2 솔루션

ROScube-I

메디컬 박스 PC

MLB-3000 / MLB-3002

COM Express Type 6

Express-TL

ADLINK Edge IoT

Digital Experiment

PC/104 SBCs

NEON-2000-JT2 Series 