Predictive maintenance is a preventive maintenance technique based on the collection and analysis of data to identify the condition of equipment and predict possible failures. In the case of elevators, predictive maintenance can help avoid unexpected breakdowns, improve safety and reduce maintenance costs.
How does it work?
Predictive maintenance of elevators is based on the collection of data through sensors installed in the different components of the elevator. These sensors can measure variables such as temperature, vibration, energy consumption or wear of parts. The data collected is analyzed by artificial intelligence algorithms to identify any anomalies that may indicate a possible failure.
What are the advantages?
Predictive maintenance of elevators offers a number of advantages, among which the following stand out:
- Improves safety: Predictive maintenance allows identifying and correcting potential failures before they occur, reducing the risk of accidents..
- Reduces maintenance costs: By anticipating failures, predictive maintenance allows necessary repairs to be carried out on a scheduled basis, thus avoiding the need for urgent repairs, which are usually more expensive.
- Improves elevator availability: By preventing breakdowns, predictive maintenance helps make elevators available to users when they need them.
How to implement it?
To implement predictive maintenance in elevators, it is necessary to install sensors in the different components of the elevator. These sensors must be able to collect data reliably and accurately. The data collected must be analyzed using artificial intelligence algorithms to identify any anomalies.
What is its future?
Predictive maintenance is becoming increasingly important in the elevator industry. The benefits it offers, such as improved safety, reduced costs and improved availability, make it a very attractive option for elevator owners.
In the coming years, predictive maintenance is expected to become the norm in the elevator industry.
