Support system for an operator
OwnerIoannis Lymperopoulos, Andrea Cortinovis +1inventors
InventorsIoannis Lymperopoulos, Andrea Cortinovis, Mehmet Mercangoez
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Abstract
To minimize the probability of occurrences of a delayed control action of a human operator, at least the human operator's interactions, including control actions, with a process and process responses to control actions are measured and processed to determine the human operator's alertness level, and if the alertness level is low enough, an engagement session may be triggered.
Claims20
A computer implemented method comprising:
- receiving online measurement results of a human operator, who is monitoring and controlling an industrial process, the online measurements results comprising at least the human operator's interactions with the industrial process, the interactions including control actions;
- receiving online measurement results from the process, the online measurement results indicating process responses to the control actions;
- inputting the measurement results of the human operator and at least the measurement results indicating process responses to a first trained model, which utilizes machine learning;
- processing, by the first trained model, the inputted measurement results to one or more alertness levels;
- triggering, in response to the alertness level indicating too low level of alertness, an engagement session with the human operator.
A non-transitory computer readable medium comprising program instructions for causing a computing equipment upon receiving measurement results of a human operator controlling a process in an industrial plant and measurement results measured from the process in the industrial plant to be operable to:
- receive online measurement results of a human operator, who is monitoring and controlling an industrial process, the online measurements results comprising at least the human operator's interactions with the industrial process, the interactions including control actions;
- receive online measurement results from the process, the online measurement results indicating process responses to the control actions;
- input the measurement results of the human operator and at least the measurement results indicating process responses to a first trained model, which utilizes machine learning;
- process, by the first trained model, the inputted measurement results to one or more alertness levels;
- trigger, in response to the alertness level indicating too low level of alertness, an engagement session with the human operator.
Equipment comprising at least one processor and at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the equipment to be operable to:
- receive online measurement results from the process, the online measurement results indicating process responses to the control actions;
- input the measurement results of the human operator and at least the measurement results indicating process responses to a first trained model, which utilizes machine learning;
- process, by the first trained model, the inputted measurement results to one or more alertness levels;
- trigger, in response to the alertness level indicating too low level of alertness, an engagement session with the human operator.
Dependencies are inferred from the claim text.