Revolutionize Equipment Maintenance with IoT for Predictive Maintenance

Stay ahead of equipment issues with predictive insights and automated work orders that help you avoid costly disruptions.

Why Does Your Business need IoT based Predictive Maintenance?

Why Does Your Business Need IoT for Predictive Maintenance

Conventional maintenance strategies, such as reactive and preventive methods, are no longer sufficient for today’s industrial requirements. Reactive maintenance results in unplanned equipment failures that disrupt production and increase downtime costs. Preventive maintenance, while more proactive, often involves servicing equipment unnecessarily, leading to wasted resources and missed optimization opportunities.

IoT for Predictive Maintenance leverages real-time sensor data and advanced analytics to continuously monitor key equipment parameters, such as temperature, pressure, and vibration. With machine learning algorithms analyzing this data, businesses can predict failures before they happen and schedule maintenance precisely when it’s needed. This proactive approach enhances asset reliability, reduces downtime, and extends the lifespan of critical equipment. The combination of IoT, cloud computing, and predictive analytics ensures smarter, data-driven decisions that improve overall operational efficiency and reduce maintenance costs.

Centralized Equipment Monitoring

Track and manage all your machinery through a single platform that provides real-time visibility into equipment performance. This system ensures timely responses to emerging issues, reducing downtime and maintaining operational continuity. With constant monitoring, you can improve both efficiency and asset management.

Real-Time Data Collection and Analysis

IoT sensors capture crucial data like temperature and pressure continuously, enabling proactive tracking of equipment health and performance.

Remote Access and Monitoring

Easily access the centralized dashboard from any device, allowing you to monitor equipment and respond to alerts from anywhere, ensuring seamless operations.

Seamless Integration with Existing Systems

The IoT platform integrates with your existing machinery and software, enabling smooth adoption without the need for significant operational changes.

Automated Maintenance Scheduling

Automate maintenance workflows to avoid unnecessary repairs and keep equipment running at optimal performance levels. This reduces manual scheduling errors and ensures maintenance happens only when needed, saving time and costs. The system helps extend the lifespan of your machines while reducing maintenance-related downtime.

Dynamic Work Orders

Work orders are automatically generated and assigned to technicians, eliminating delays and ensuring prompt responses to potential issues.

Condition-Based Alerts and Notifications

Real-time alerts notify teams of abnormal equipment performance, allowing quick action to prevent disruptions and minimize maintenance costs.

Predictive Maintenance Windows

Maintenance windows are forecasted based on equipment health data, ensuring service is scheduled at the optimal time, preventing unnecessary downtime.

Advanced Analytics and Predictive Insights

Leverage the power of advanced analytics to predict equipment failures and fine-tune maintenance schedules for optimal performance. With features like energy monitoring and vibration analysis, the system identifies key trends and patterns, providing actionable insights to enhance operational efficiency. These predictive insights allow businesses to address potential issues before they escalate, ensuring smoother workflows and reduced downtime.

Data-Driven Maintenance Decisions

Use real-time and historical data, including energy consumption and vibration readings, to forecast potential equipment issues and schedule maintenance effectively.

Preventive Insights to Reduce Downtime

Monitor equipment behavior to identify patterns that lead to failures, allowing for solutions that address underlying problems and improve uptime.

Customizable Reporting and Dashboards

Generate tailored reports that track key metrics such as energy use, vibration levels, repair costs, and overall performance, providing clear insights into operations.

Advanced Analytics and Predictive Insights

Ready to Transform Your Maintenance Process?

Explore how IoT can enhance your predictive maintenance strategies and minimize unexpected downtimes.

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Mobile-Enabled IoT Predictive Maintenance

Manage and monitor maintenance activities on the go with our mobile app. Stay informed and take quick action through real-time alerts and diagnostics available on your smartphone.

Access live equipment data from anywhere

Assign maintenance tasks to technicians remotely

Track work orders and receive updates instantly

Easily upload photos, documents, or maintenance checklists to better communicate issues

Key Features of IoT Based Predictive Maintenance

Real-Time Condition Monitoring

Continuously assess critical parameters such as temperature, humidity, and pressure using IoT sensors, ensuring equipment operates within specified limits.

Energy Consumption Analytics

Analyze energy usage patterns to uncover inefficiencies, enabling proactive measures that optimize resource consumption and reduce costs.

Vibration Analysis Technology

Utilize advanced accelerometers to capture detailed vibration data, facilitating early detection of mechanical imbalances or faults.

Sensor Fusion Techniques

Combine data from diverse sensors to improve accuracy and reliability in predictive maintenance assessments.

Historical Performance Benchmarking

Compare current equipment performance against historical benchmarks to identify deviations and opportunities for improvement.

Multi-Asset Monitoring Platforms

Monitor various types of equipment and machinery from a single platform, consolidating data for comprehensive analysis and reporting.

Industries We Serve

Maintenance

Education

Oil & Gas

Real Estate

Banking

Equipment

Healthcare

Non-Profit

Government

Fire Department/EMS

Hotels

Food & Beverage

Do you have questions?

We know the most obvious doubts one has in mind while thinking of Asset Management Solution. Check out FAQs and unravel your doubts.

What is IoT for Predictive Maintenance?

IoT for Predictive Maintenance refers to using Internet of Things (IoT) devices and advanced analytics to monitor equipment health, predict failures, and optimize maintenance schedules to reduce downtime and maintenance costs.

Can IoT solutions integrate with my existing systems?

Yes, IoT solutions for predictive maintenance can be seamlessly integrated with your existing equipment and software, offering flexibility and compatibility with a range of platforms.

How can I measure the success of my predictive maintenance program?

Success can be measured using KPIs such as reduced downtime, improved equipment reliability, maintenance cost savings, and increased overall equipment effectiveness (OEE).

What types of sensors are commonly used in IoT predictive maintenance?

Common sensors include vibration sensors, temperature sensors, humidity sensors, acoustic sensors, and energy meters. These devices collect critical data to monitor equipment conditions effectively.

What challenges can arise when implementing IoT for predictive maintenance?

Common challenges include data integration from multiple sources, ensuring data quality, managing cybersecurity risks, and training staff to effectively use new technologies.

Testimonial

Paradigm Shift

With an easy to operate system and user-friendly Interface of TeroTAM, we integrated more than 200+ outlets operational within PAN India for 2+ years. This software enabled us to manage almost everything with a centralized dashboard, by sitting in one place, manage priorities and analyze all the key performance indicators with prolonged analytics. We are expecting to use TeroTAM for a long horizon with more advanced upgraded software in the era of growing new technologies.

Parthiban B.
(GM Facilities & Renovations Food & Beverages)
Tata Starbucks Private Limited

Ignited Innovation

TeroTAM has made our work easier & faster starting from complaint request generation to field and till the closer. Easy to upload data and updates, compatibility with multiple languages and lesser human efforts in writing saves a lot of time and energy and helps to produce the perfect data from beginning to end in a most customized manner. It’s well received software, perfectly designed to match all our requirements, using satisfactorily with zero complaints for 2+ years.

Vikas A.
(GM Services Hospitality)
Equinox Solutions Limited

Excellent Platform

We have been using the TeroTAM platform for 1 year and we have seen a streamlined approach in our Staff management and Project Management. After we get started with them, our asset management has been upgraded and becoming cost-effective day by day. "Keep it up...Team TeroTAM.

Rohan Patel
(Owner)
Anand Color World

Business with TeroTAM is Super Easy

Starting from Asset Management to Complaint Management, each solution we used, has made our process fluent and flawless. We have remarkably reduced the cost of Inventory management and maintenance management with easy-to-use TeroTAM CMMS software. We experienced superfast tracking and location management with the QR-code scanning technology they offer. All-and-all, it’s a one-stop solution for all your business needs. Strongly recommend it to all.

Harsh Chaudhary
(Owner)
Inventrik Enterprise

“It’s Good and Useful Tool”

“I've been using this software for 1 year mostly for communication within the project team, task management, and collaboration with our customers. It's really easy to use & maintain, good support, easy to add asset details, cost-effective and flexible!”