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Virtual sensing techniques,〔Virtual sensing techniques and their applications 〕 also called soft sensing,〔A systematic approach for soft sensor development 〕 proxy sensing, inferential sensing, or surrogate sensing, are used to provide feasible and economical alternatives to costly or impractical physical measurement instrument. A virtual sensing system uses information available from other measurements and process parameters to calculate an estimate of the quantity of interest. While a variety of virtual sensing techniques are available, the vast majority of these can be classified in two major categories: * Analytical techniques * Empirical techniques == Analytical virtual sensing == Analytical techniques base the calculation of the measurement estimate on approximations of the physical laws that govern the relationship of the quantity of interest with other available measurements and parameters. For well-understood processes these approximations can be very accurate (e.g. using mass & energy balance equations) while for other processes precise physical models do not exist and the used approximations can be quite crude. Analytical virtual sensing is often implemented through data validation and reconciliation methods. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Virtual sensing」の詳細全文を読む スポンサード リンク
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