Discover the advantages of predictive maintenance for your business
Posted: Sun Dec 15, 2024 9:29 am
We explain what predictive maintenance is and its various stages.
Learn about the advantages that predictive maintenance brings to your business.
The Internet of Things ( IoT ) is a revolution that is increasingly affecting all areas of our lives. In relation to the maintenance of a business's assets , it means that we can move from performing reactive or preventive maintenance to performing predictive maintenance thanks to telemetry.
Telemetry allows for remote measurement, generally wirelessly, of physical quantities and the subsequent sending of the information to a monitoring station .
Reactive maintenance is carried out when the asset has broken down and action is taken on the fault, changing the parts that are necessary.
Preventive maintenance takes into account the past performance of assets and the knowledge and experience of the people in charge of their maintenance. Periodic maintenance is therefore carried out in a planned manner. This type of maintenance prevents breakdowns, but in many cases it means replacing parts before they are necessary.
What is predictive maintenance?
Predictive maintenance technologies allow monitoring of assets such as vehicles, industrial machinery, vending machines, supply networks and even remote monitoring of people's health status.
Thanks to predictive maintenance, assets can be monitored automatically in real time.
Data records or alerts are received at a control center in order to ensure the operation of machines or the supply of goods or services .
Predictive maintenance allows companies to anticipate possible failures and to schedule maintenance before machinery or vehicles stop working or deteriorate due to lack of maintenance.
In the vending sector, telemetry can be used to report the charge status of machines and whether they are in operation.
In the automotive industry, it alerts users to the need to perform certain maintenance canadian biotechnology email list on vehicles. For example, when the vehicle exceeds a certain number of kilometres or exceeds a certain time, not only to the user, but in certain cases also to a data processing centre, which can issue alerts.
What are the stages?
Predictive maintenance is generally performed in five stages
Data collection . To perform predictive maintenance, the first step is to collect data and information in real time, so that it is accessible and actionable.
Data transmission. The next step is the transmission of that data in real time, usually wirelessly.
Data processing using AI . The data received must be capable of being processed by AI to obtain timely and relevant information.
Alert monitoring . AI will transmit useful information for decision-making to different users, who will receive it in a dashboard or control panel.
Maintenance performance . Thanks to the information received, maintenance decisions can be made in real time.
Learn about the advantages that predictive maintenance brings to your business.
The Internet of Things ( IoT ) is a revolution that is increasingly affecting all areas of our lives. In relation to the maintenance of a business's assets , it means that we can move from performing reactive or preventive maintenance to performing predictive maintenance thanks to telemetry.
Telemetry allows for remote measurement, generally wirelessly, of physical quantities and the subsequent sending of the information to a monitoring station .
Reactive maintenance is carried out when the asset has broken down and action is taken on the fault, changing the parts that are necessary.
Preventive maintenance takes into account the past performance of assets and the knowledge and experience of the people in charge of their maintenance. Periodic maintenance is therefore carried out in a planned manner. This type of maintenance prevents breakdowns, but in many cases it means replacing parts before they are necessary.
What is predictive maintenance?
Predictive maintenance technologies allow monitoring of assets such as vehicles, industrial machinery, vending machines, supply networks and even remote monitoring of people's health status.
Thanks to predictive maintenance, assets can be monitored automatically in real time.
Data records or alerts are received at a control center in order to ensure the operation of machines or the supply of goods or services .
Predictive maintenance allows companies to anticipate possible failures and to schedule maintenance before machinery or vehicles stop working or deteriorate due to lack of maintenance.
In the vending sector, telemetry can be used to report the charge status of machines and whether they are in operation.
In the automotive industry, it alerts users to the need to perform certain maintenance canadian biotechnology email list on vehicles. For example, when the vehicle exceeds a certain number of kilometres or exceeds a certain time, not only to the user, but in certain cases also to a data processing centre, which can issue alerts.
What are the stages?
Predictive maintenance is generally performed in five stages
Data collection . To perform predictive maintenance, the first step is to collect data and information in real time, so that it is accessible and actionable.
Data transmission. The next step is the transmission of that data in real time, usually wirelessly.
Data processing using AI . The data received must be capable of being processed by AI to obtain timely and relevant information.
Alert monitoring . AI will transmit useful information for decision-making to different users, who will receive it in a dashboard or control panel.
Maintenance performance . Thanks to the information received, maintenance decisions can be made in real time.