Predictive maintenance
AI solution designed to predict and prevent machinery malfunctions and failure events in real time.
Built to enhance asset maintenance, it minimizes unplanned downtime and optimizes maintenance costs by providing early detection and proactive insights into machinery status.
Features
Dashboard & Monitoring
Show an overview of device status, alarms, temperature, humidity and other data in real time
Data Viewing
Query and view past data for a specific device
Device Management
Add, edit, delete, and search for monitored devices in the system
Measurement Management
Allow creating and managing the types of data the system can collect
Gen AI
Predict failures and generate clear, readable explanations
AI Analysis Agent
Automatically send a command to stop the device when a critical status is detected
Benefits
Minimize unplanned downtime
Detect issues early to prevent sudden breakdowns and avoid costly interruptions
Reduce maintenance costs
Cut labor and parts replacement costs by targeting only what needs attention
Extend equipment lifespan
Identify performance degradation early and improve long-term asset health
Improve safety & operational efficiency
Reduce risk of equipment failure and ensure smooth production flow
Applications
Manufacturing
Energy
Infrastructure
Healthcare
Video
An early warning and monitoring solution for fire and explosion risks in industrial parks and factories. It uses IoT sensors, thermal cameras, and AI to detect smoke, gas, and abnormal heat, enabling timely alerts to ensure safety and minimize damage to people and property.
Case Study
Project Highlights
TMA Solutions proposes a cutting-edge Predictive Maintenance solution powered by Generative AI (ChatGPT 4.0) to improve the health monitoring of machines and devices in factory operations. By combining AI-driven data analysis with natural language generation, the system delivers actionable maintenance insights in a conversational format easily understood by operators and technicians.
This solution aims to increase equipment reliability, extend machine lifespan, and reduce unplanned downtime, helping manufacturers operate more efficiently.
Problem Statement
- Complex sensor data: Traditional systems struggle to make sense of high-volume machine logs and sensor outputs.
- Limited interpretability: Maintenance recommendations are often too technical or fragmented for quick decision-making on the shop floor.
- Reactive maintenance: Equipment is often fixed after failure, resulting in production delays and higher costs.
Solutions
TMA’s Predictive Maintenance solution addresses these challenges by integrating Generative AI into the maintenance workflow:
- AI log interpretation: Automatically processes complex machine logs and sensor data to detect early warning signs.
- Conversational insights: ChatGPT 4.0 generates human-readable maintenance summaries and recommendations tailored for frontline technicians.
- Smart scheduling: Enables proactive maintenance planning based on real-time equipment conditions, usage history, and AI predictions.