Reliable and Proven Industrial IOT Use cases

Enhance Visibility, Reliability and Efficiency across the Processes

digital transformation industry 4.0

Electronic Logbook

Digitize log books, Minimize human errors and Increase Compliance

Replace the traditional paper-based log books with digitized information. Simple and Intuitive GUI to capture the valuable non-automated data in a structured form, manage events, issue instructions and create audit trails. Minimize human errors and improve data reliability for Compliance.

Condition Based Maintenance

Minimize Machine Downtime through Just-in-Time Maintenance

Machine or equipment’s data is acquired and monitored on real time basis and rules are applied to find exceptions or thresholds that are exceeded. In case of a deviation, trigger actions in a timely manner. The action could be as simple as an alarm or SMS or email or as advanced as the automatic creation of a maintenance order in an Enterprise Management system.

Predictive Maintenance

Prevent asset breakdown by anomaly detection, root cause analysis and failure prediction.

Analyze real time data from equipment and devices, detect anomalies send alerts and automatically trigger appropriate maintenance processes. Leverage historical data to recognize patterns and predict failures before they actually happen. Optimize operations and quality with the root cause analysis module and best next action workflow.

Predictive Operations

Achieve Operational excellence with improved efficiency and quality at optimized cost

Build a Smart Factory with horizontal integration of all assets and subsystems of various operations coupled with deep analytics, to improve operational efficiency and quality using AI, machine learning and device connectivity. Save cost and increase Return on Investment with higher asset performance, increased quality and optimized energy consumption.

Utilities & Energy Management

Optimize Energy Consumption and Increase Efficiency

Measure and analyzes Energy consumption and energy quality parameter data e.g power frequency, supply voltage, voltage interruptions etc. to optimize Energy consumption and increase Efficiency. With analytics feature, develop energy consumption patterns, detect abnormality in Consumption and predict future energy needs.

Remote Monitoring

Gain deeper Plant Intelligence & Reduce Cost of Service

Connect multiple devices and systems through protocols and APIs and monitor the critical assets. Track real time KPIs using custom dashboards that provide performance insights. Configure events and triggers based on deviating sensor values. Leverage historical data to develop custom models, build a foundation for predictive maintenance and explore new revenue streams.

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Incredible service...

the company has implemented automated solutions for condition monitoring of their production plants.  This improves maintenance planning, saves energy and increases production efficiency.

digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
RAK PORTS

Best ever...

Implementing Industry 4.0 creates a digital silhouette of a plant to optimize processes.  Essential information is provided by many sensors that are already installed for machine control.

digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
NABHA POWER LIMITED
Preventive Maintenance

Implementing IO-Link has given them real-time access to machine health and has allowed them to implement remote maintenance monitoring.

digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
digital transformation industry 4.0
ARJAS STEEL
digital transformation industry 4.0