Predictive risk analysis is particularly important in the fields of automation, Industry and Factory 4.0 and artificial intelligence. Companies use it to recognise potential hazards and disruptions at an early stage and take countermeasures in good time. This allows production to run more smoothly and minimises downtime.
The term means that risks are not only dealt with when they occur, but that they are detected in advance with the help of modern technology and data analyses. Sensors and intelligent software continuously collect data from machines and processes for this purpose. With this information, predictive risk analysis can recognise patterns and provide early warning before a problem arises.
An illustrative example: Machines are constantly in use in a factory. Traditional maintenance often only comes into play when something is already broken. With a predictive risk analysis, the factory continuously analyses sensor data - such as the temperature or noise of the machines. If an unusual development becomes apparent, action can be taken immediately before a shutdown occurs. This saves time and money and increases safety in the workplace.
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