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    • 11. 发明授权
    • Maintenance of process control by statistical analysis of product
optical spectrum
    • 通过产品光谱的统计分析维护过程控制
    • US5862060A
    • 1999-01-19
    • US755425
    • 1996-11-22
    • Richard C. Murray, Jr.
    • Richard C. Murray, Jr.
    • G01N21/35G06F17/18G06F19/00
    • G06F17/18G01N21/359
    • Control of many chemical processes is optimized using compositional data, rather than physical properties, as the means of control. Using near infrared spectroscopy as the analytical tool affords the opportunity for on-line measurements in real time. A calibration set of NIR spectra bounding the acceptable process space within which a particular property is to be controlled is obtained by conventional means. Applying a multivariant statistical method to the calibration set affords a method of identifying the most important characteristics of the set which governs the controlled property, and is inherently related to the composition of the process product. Control then is effected by using only a small number (2-4) of such characteristics, which can be determined quickly and simply from the measured spectra, as the control criteria to be applied to the process as a whole. The result is a very effective way of controlling a complex process using only 2-4 non-obvious criteria objectively determined from a calibration set and which can be applied in real time and virtually continuously resulting in a well-controlled process whose product composition is (ideally) invariant.
    • 作为控制手段,使用成分数据而不是物理性质来优化许多化学过程的控制。 使用近红外光谱仪作为分析工具,可以实时在线测量。 通过常规方法获得一个限定特定性质要控制的可接受工艺空间的NIR光谱校准集。 将多变量统计学方法应用到校准集中提供了一种识别集合控制属性的最重要特征的方法,并且与过程产品的组成本质上相关。 然后通过仅使用少量(2-4)这样的特性来实现控制,其可以从测量的光谱中快速和简单地确定为作为整体应用于过程的控制标准。 结果是一种非常有效的方法,只使用从校准集客观确定的2-4个非明显标准来控制复杂过程,可以实时和实际连续地应用这些标准,导致一个控制良好的过程,其产品组成为 理想地)不变。