Abstract: An energy-savings forecasting device includes a provisional savings calculating portion that calculates, based on a simulation model, provisional savings that is obtained when switching from a normal operation to an energy-saving operation, an adjustment factor calculating portion that calculates an adjustment factor by comparing the energy demands calculated by the simulation model and a data model when under normal operation, and a forecasted savings calculating portion that calculates the forecasted savings that is obtained when switching from normal operation to the energy-saving operation, through adjusting the provisional savings by the adjustment factor.

Abstract: A control model updating device includes a control model calculating unit that calculates a control model using analysis data, a control model updating unit that updates by accepting the control model, and a data suitability evaluating unit that evaluates the suitability of analysis data. The data suitability evaluating unit has a function characteristic prior knowledge storing unit that stores prior knowledge regarding a characteristic obtained in advance regarding the subject of control, a quadratic polynomial calculating unit that calculates a quadratic polynomial wherein the analysis data is approximated by a quadratic function, and a characteristic evaluating unit that compares a characteristic of the quadratic polynomial, calculated by the quadratic polynomial calculating unit, to prior knowledge stored in the function characteristic prior knowledge storing unit. The control model updating unit updates the control model if the two match in the comparison.

Abstract: An approximated objective function value calculator calculates individual estimated values for an evaluation parameter corresponding to individual values of a controlled parameter where the value of a non-controlled parameter is held constant at the current value in an approximated objective function estimated by an approximated objective function estimator. A proximity distance calculator calculates, as a proximity distance s for each individual value for the controlled parameter, a distance from each individual value for the controlled parameter, in a case where the value of the non-controlled parameter is held constant, to the analysis data having the nearest distance when projected onto an input variable space defined by the controlled parameter and the non-controlled parameter. An additional measurement point determining indicator calculator calculates an additional measurement point determining indicator P corresponding to each individual value of the controlled parameter as P=estimated value??×s.

Abstract: A control model calculating portion for calculating a control model using analysis data, a control model updating portion for updating by accepting the control model, and a data suitability evaluating portion for evaluating the suitability of analysis data are provided. The data suitability evaluating portion comprises a function characteristic prior knowledge storing portion for storing prior knowledge regarding a characteristic obtained in advance regarding the subject of control, a quadratic polynomial calculating portion for calculating a quadratic polynomial wherein the analysis data is approximated by a quadratic function, and a characteristic evaluating portion for comparing a characteristic of the quadratic polynomial, calculated by the quadratic polynomial calculating portion, to prior knowledge stored in the function characteristic prior knowledge storing portion. The control model updating portion updates the control model if the two match in the comparison.

Abstract: There are provided a mass spectrum analysis device, a mass spectrum analysis method, and a mass spectrum analysis program capable of accurately analyzing a mass spectrum. The mass spectrum device analyzes a mass spectrum measured for a plurality of samples. The mass spectrum device includes peak position detection means 14 for detecting a peak position where the mass spectrum is at its peak, and coincidence degree calculation means 15 for calculating the coincidence degree of peaks according to the number of peak positions detected in a plurality of mass spectra that is contained in a window having a width for a mass number.