Abstract: There are a method and a system for virtual sensing, which predict a current operating frequency of a variable IGV control fluid device (for example, a pump, a blower) based on a metamodel. A virtual sensing method for sensing a variable IGV control fluid device operating frequency based on a metamodel according to an embodiment includes: collecting, by a communication unit, input characteristic data from a fluid device system; and predicting, by a processor, output characteristic data by applying the input characteristic data to a metamodel which is a machine learning model, and the input characteristic data is two or more of a fluid pressure (P), a fluid flow rate (Q), and an IGV angle (?), and the output characteristic data is an operating frequency (N) of the fluid device.

Abstract: Provided is a method of visualizing a plurality of nodes respectively including a plurality of variable values for a data object. The method includes: allocating a predetermined upper limit value and a predetermined lower limit value for each of a plurality of variables to vertices of a three-dimensional polygon facing each other; respectively determining partial positions related to the variables for the nodes based on the upper limit value and the lower limit value for each of the variables, a maximum variable value and a minimum variable value for each variable from among variable values of the nodes, and the variable values of the nodes; respectively determining final positions of the nodes in the three-dimensional polygon based on the determined partial positions; and arranging the nodes in the three-dimensional polygon according to the determined final positions.

Abstract: Provided is a method of visualizing a plurality of nodes respectively including a plurality of variable values for a data object. The method includes: allocating a predetermined upper limit value and a predetermined lower limit value for each of a plurality of variables to vertices of a three-dimensional polygon facing each other; respectively determining partial positions related to the variables for the nodes based on the upper limit value and the lower limit value for each of the variables, a maximum variable value and a minimum variable value for each variable from among variable values of the nodes, and the variable values of the nodes; respectively determining final positions of the nodes in the three-dimensional polygon based on the determined partial positions; and arranging the nodes in the three-dimensional polygon according to the determined final positions.