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Manufacturing

Proactive and Predictive Machine Health Monitoring with IoT integration solution

Implement IoT-enabled proactive and predictive machine health monitoring to optimize maintenance, minimize downtime, and improve operational efficiency.

Business Overview

  • Various customers in manufacturing businesses like steel, fertilizer, shipping, pharma with global scale of operations seeking advance and autonomous predictive maintenance and monitoring solutions for today’s smart factory.
  • To health-check, identify and fix failures in critical assets used in the manufacturing process (like blowers, pumps, motors, associated gear boxes and bearings, conveyors, assemblies and alignments), at shot floor operation plants.
  • To provide IoT based predictive maintenance solution with advanced analytics that detects faults at an early stage and offers a reliable prediction of the useful life of machineries.
  • To reduce maintenance cost and improve overall operation efficiency.

Solutions Offered

Smart Monitoring

AI-based cloud solution integration with IoT sensors that captures multiple machine parameters to provide accurate fault and reliability prediction. Wireless IoT sensors versions provides a secure and reliable IoT network, provides the data necessary to anticipate and prevent costly production errors and work stoppages. 

Data Integration

Integration with SAP for advanced analytics on assets life cycle management (ALM). IoT-enabled machines transmit data to SAP ALM in real-time. This data includes operational metrics and performance indicators that are crucial for assessing the health and condition of the machines.

Predictive Insights

Using machine learning algorithms and predictive models, SAP ALM can analyze historical and current data to predict potential failures or performance degradation. It can detect anomalies, deviations from normal operating conditions, and trigger alerts or notifications for maintenance teams. It recommends maintenance actions based on predicted failure probabilities or degradation trends, optimizing maintenance schedules and minimizing downtime. 

Predictive Maintenance

Temperature sensors, humidity sensors, vibration sensors, accelerometer, ultrasound sensors, magnetic flux sensors make prediction reliable and accurate approach. Sensors measure the conditions of equipment and the atmosphere, comparing it to the baseline for the area/machinery, and making notes of variations from optimal status. Deviations may be captured, analysed, and then turned into timely preventive maintenance savings

Technologies Leveraged

  • AI Based Cloud Solution
  • SAP Cloud Integration 

Business Benefits

50%

savings in manual efforts caused by poor planning and preparation and lack of insights

33%

Reduction in overall maintenance cost 

67%

Improvement in asset life-cycle aging and health

3k+

Work hours saved monthly

More Benefits

  • Reduce overall maintenance costs by up to 33% through reduced downtime and better planning.
  • Improved asset reliability and uptime.
  • Efficient resource allocation. Maintenance resources are allocated more efficiently based on data-driven insights, optimizing workforce productivity.
  • Detection of early stage degradation of assets enabling better preparation for preventive actions to minimize maintenance downtime.
  • Improved asset lifecycle management
  • Proactive, not reactive: accurately predict the risk of failure and detect anomaly.
  • Improved compliance and safety.
  • Reduce Stress: With 24×7 autonomous monitoring and prediction you can plan maintenance and your time better. ​
  • Increase efficiency: Increases asset availability by reducing unexpected downtime and optimizing planned maintenance intervals.
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CONSULTING EXCELLENCE

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Increased Efficiency

Our solution employs advanced Object Detection techniques and computer vision algorithms to automate the inspection of steel plates, identifying defects like cracks, scratches, and dents with precision. By streamlining this process, we ensure timely intervention for maintaining high-quality standards in industrial applications.

Improved Accuracy

AI-driven inspections have revolutionized the way errors are identified and corrected in various industries. These advanced systems use machine learning algorithms to analyze vast amounts of data with unprecedented accuracy,

Cost Reduction

By identifying issues at an early stage of production, companies can address them promptly, preventing them from escalating and causing significant setbacks down the line.

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OUR PRICING

Our affordable pricing plans

we believe in transparency as the foundation of trust with our clients.

Buy a best plan that match your budget

30/year

Premium package

Billed annually

  • 30 Days Free Trail
  • Unlimited Features
  • Easy Data Backup
  • Cloud Database
  • Sync to All Devices
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