Abstract: A data collection method for a process margin monitoring system of industrial equipment includes preparing a learning data set based on data determined to be normal in an operation history of the industrial equipment so that the learning data set is sorted for each operation mode, in a case in which the industrial equipment includes equipment units performing the same functions, receiving data for each of the equipment units and processing the received data as data for the equipment units, sorting and grouping associated ones of the data in the learning data set, and sampling the collected data to reduce the amount of data.

Abstract: Disclosed is a method and an apparatus for supervising the integrated trip margin of an industrial plant facility. The apparatus includes a measurement operation value collection means for collecting a measurement operation value of a facility having a trip setting value inside the industrial plant; a trip margin calculation means for receiving the measurement operation value from the measurement operation value collection means and calculating a trip margin; and a display means for displaying a trip margin having a smallest value among trip margins of respective groups on a screen when there is a plurality of groups of objects of interest, the trip margin of which is to be supervised.