Preventive maintenance
Never let any equipment deteriorate. Maintain your infrastructure proactively.
Organizing maintenance rounds at a set frequency is inefficient, as some equipment needs maintenance as a priority while others require no particular attention. The risk is to let equipment deteriorate and reach an advanced state of degradation, requiring time-consuming and costly retrofitting.
It is time to switch from a corrective to a preventive approach and anticipate damage before it becomes problematic. Preventive maintenance leverages cutting-edge technology to analyze data and foresee potential equipment failures, ensuring optimal operational efficiency.
With Deepomatic, infrastructure owners obtain reliable data on the condition of their equipment, in real time and as operations progress.
Computer vision algorithms detect the causes of degradation each time an operation is carried out on equipment and provide a history of photos and actions taken on equipment. These insights enable preventive maintenance by identifying patterns and anomalies before they escalate into major issues. This allows you to initiate priority maintenance operations at the right time and place for greater efficiency.
The traceability provided by Deepomatic's platform also makes it possible to assign responsibility and the cost of restoration to the person in charge, while preventive analytics ensure that your infrastructure remains in top condition, minimizing downtime and repair costs.
Improved equipment availability
Preventive maintenance ensures that equipment is available when needed by detecting potential issues in advance. This minimizes unexpected breakdowns and keeps operations running smoothly.
Controlled maintenance costs
less unnecessary site visits, less need to completely overhaul equipment.
Protect the long-term value of your infrastructure
By addressing issues proactively, preventive maintenance safeguards the durability and efficiency of your infrastructure, preserving its value over time.
Asset Management
Based on AI analysis of equipment photos, our platform's Asset Management function calculates a health score indicating their physical condition at a given moment, and the dashboard displays its evolution throughout operations.
- Plan maintenance visits and avoid equipment ending up in too critical a condition. Preventive maintenance empowers decision-makers to act on early warning signs, ensuring timely interventions.
- As soon as a piece of equipment shows signs of deterioration, those in charge of infrastructure life can consult the photo history and identify the person(s) responsible to take appropriate action.
- With Deepomatic, preventive maintenance is no longer just a strategy; it is a vital part of modern infrastructure management, combining AI-driven insights with actionable data to maximize efficiency and reliability.
How does Deepomatic’s AI platform contribute to Preventive Maintenance?
Systematic quality control to monitor the infrastructure
Every time a field worker works on an infrastructure asset and takes photos of their work, the AI analyses the quality of their job, but also the physical state of the asset. Each operation therefore becomes an inspection which assesses the level of potential degradation of equipment.
Health score generation
Deepomatic developed an Asset Management feature which calculates a health score based on the level of degradation detected during each operation on the asset.
Scheduling of maintenance operations based on health score
Infrastructure managers can leverage the health score to plan maintenance operations on assets that require repairing. This is what TDF, the French infrastructure operator, is doing on its fiber street cabinets.
Benefits of using AI for Preventive Maintenance
Minimized asset downtime
AI enables operators to plan efficient repair operations based on asset condition rather than reacting blindly to unexpected breakdowns. This proactive approach prevents severe damage that could necessitate costly repairs or complete asset replacement, saving thousands of dollars and reducing the need for prolonged technician involvement.
Extended asset lifespan
By leveraging AI for monitoring and implementing preventive maintenance, assets, such as fiber infrastructure, are preserved for a longer duration. This ensures a higher return on investment for operators and enhances the profitability of their infrastructure.
Optimization of maintenance costs
AI allows infrastructure companies to prioritize maintenance tasks based on real-time needs rather than adhering to rigid schedules. This targeted approach increases efficiency, improves resource allocation, and significantly reduces operational expenses.