Machine Health Monitoring based on I3oE

I3oE-MHM system uses sensors and information existing in the factories and companies to continuously track industrial equipment’s condition, detecting anomalies, predicting failures for predictive maintenance to reduce downtime and costs and which machines or components are more likely to fail and therefore require greater attention from the point of view of preventive maintenance.

The system has two ways to help companies and factories on these tasks.

1.-Using sensors and systems installed in the production lines for normal production

The system extracts the information directly from the production lines and measure the time that the components spend to make normal tasks. The system tracks this signal and sends a message to the maintenance team to repair the component when this signal is out to normal working conditions.

2.-Using historical data stored in the factories/companies

The system extracts the information from the database of the company related to different key metrics related to the health of the machine. Parameter like downtime, number of alarms, criticity of the machine, etc, are used to calculate a KPI (Key Performance Indicator) that allows to the system to rank the health of the machine. This system allows managers to determine which machines need more care and optimize the resources of the company.

Human Health Monitoring based on I3oE

I3oE-H2M system uses sensors and information existing in the factories and companies to continuously track human condition, detecting anomalies, predicting stress, bad habits, injuries, absenteeism, etc, to reduce downtime and costs. The system determines which humans has less performance and therefore require greater attention from the point of view of human resources and managers.

1.-Using sensors and systems installed in the production lines for normal production:

The system extracts the information directly from the production lines and measure the time that the operators spend to make normal tasks. The system tracks this signal and helps the managers to manage human resources. The system could help managers to detect idle time, operators with special habilities/disabilities for particular tasks and rebalance the line to improve the production.

2.-Using historical data stored in the factories/companies

The system extracts the information from the database of the company related to different key metrics related to the health of the workers. Parameter like sick days, clock delays, etc, are used to calculate a KPI (Key Performance Indicator) that allows to the system to rank the health of the worker and the probability of absenteeism. This system allows managers to determine which workers need more care and optimize the resources of the company.