CN117849016A - Quantitative fluorescence measurement calibration system - Google Patents
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Abstract
The invention relates to a quantitative fluorescence measurement calibration system, in particular to the technical field of quantitative fluorescence measurement, which comprises an information acquisition module, a measurement module and a measurement module, wherein the information acquisition module acquires historical measurement data and measurement environment information of the water content of each stratum corneum; the data analysis module is used for analyzing the effectiveness of the acquired stratum corneum water content historical measurement data; the data processing module is used for analyzing the standard measurement range of the water content of the stratum corneum; the measurement calibration module is used for correcting through a standard measurement range of the water content of the stratum corneum so as to obtain the water content of the stratum corneum to be measured; the measurement optimization module is used for optimizing the measurement process of the fluorescence intensity of the stratum corneum to be measured; the updating module is used for updating the analysis process of the validity of the historical measurement data of the next monitoring period; the updating correction module corrects the updating process of the analysis process of the validity of the historical measurement data of the next monitoring period; the invention improves the quantitative measurement efficiency and accuracy of the object to be measured.
Description
Technical Field
The invention relates to the technical field of quantitative fluorescence measurement, in particular to a quantitative fluorescence measurement calibration system.
Background
Fluorescence measurement is a commonly used analytical technique for determining the concentration of a target substance in a sample. However, the accuracy of fluorescence measurements is affected by a number of factors, including light source stability, detector sensitivity, sample preparation, and the like. Calibration is a key step for ensuring accuracy of fluorescence measurement results, and conventional fluorescence measurement calibration methods generally require complicated operations, are time-consuming, and are prone to human errors.
Chinese patent publication No.: CN111982869a discloses a calibration method and a calibration fitting for quantitative fluorescence measurement, the calibration method comprising the steps of: firstly, measuring the background light intensity of an excitation light source, measuring the fluorescence and the temperature of a fluorescent labeling reagent, and then measuring the fluorescent background signal of an object to be measured, the fluorescent signal after reaction with the fluorescent labeling reagent and the temperature of the object to be measured; obtaining calibration parameters by matching with a calibration model, calibrating a fluorescent signal of a sample to be detected, correcting a fluorescent background, and calculating to obtain the concentration of the component to be detected; therefore, when the solution is used for measuring the components to be measured, only the instrument and the temperature are analyzed, and the problems of low quantitative measurement efficiency and low accuracy of the objects to be measured exist.
Disclosure of Invention
Therefore, the invention provides a quantitative fluorescence measurement calibration system which is used for solving the problems of low quantitative measurement efficiency and low accuracy of an object to be measured in the prior art.
To achieve the above object, the present invention provides a quantitative fluorescence measurement calibration system, the system comprising,
the information acquisition module is used for acquiring historical measurement data and measurement environment information of the water content of each stratum corneum;
the data analysis module is used for analyzing the effectiveness of the acquired stratum corneum water content historical measurement data to obtain effective historical measurement data;
the data processing module is used for analyzing the standard measurement range of the water content of the stratum corneum according to the effective historical measurement data;
the measuring and calibrating module is used for obtaining the measured values of the fluorescence intensity, the temperature and the background light intensity of the stratum corneum to be measured, and correcting the measured values through the standard measuring range of the water content of the stratum corneum to obtain the water content of the stratum corneum to be measured;
the measurement optimization module is used for optimizing the measurement process of the fluorescence intensity of the stratum corneum to be measured according to the acquired measurement time and the measurement environment temperature of the stratum corneum to be measured;
the updating module is used for updating the analysis process of the effectiveness of the historical measurement data of the next monitoring period according to the actual measurement value of the water content of the stratum corneum to be detected in the monitoring period;
The updating and correcting module is used for correcting the updating process of the analysis process of the effectiveness of the historical measurement data of the next monitoring period according to the thickness of the stratum corneum to be detected and the measured environmental humidity.
Further, the data analysis module is provided with a variance calculation unit, the variance calculation unit is configured to perform variance calculation on the historical fluorescence intensity data, the historical stratum corneum temperature data and the historical background light intensity data corresponding to the water content of each stratum corneum respectively, set the variance of the historical fluorescence intensity data corresponding to the water content s of the stratum corneum as Fs1, and set:
Fs1=[(ys1-Ys0) 2 +(ys2-Ys0) 2 +(ys3-Ys0) 2 +...+(ysi-Ys0) 2 ]/i；
Ys0=(ys1+ys2+ys3+...+ysi)/i；
the variance calculation means sets Fs2 as the variance of the historical stratum corneum temperature data corresponding to the stratum corneum water content s:
Fs2=[(js1-Js0) 2 +(js2-Js0) 2 +(js3-Js0) 2 +...+(jsi-Js0) 2 ]/i；
Js0=(js1+js2+js3+...+jsi)/i；
the variance calculating means sets Fs3 as the variance of the historical background light intensity data corresponding to the stratum corneum water content s:
Fs3=[(bs1-Bs0) 2 +(bs2-Bs0) 2 +(bs3-Bs0) 2 +...+(bsi-Bs0) 2 ]/i；
Bs0=(bs1+bs2+bs3+...+bsi)/i；
wherein Ys1 is historical fluorescence intensity data in a first group of data corresponding to the water content of the stratum corneum s, ys2 is historical fluorescence intensity data in a second group of data corresponding to the water content of the stratum corneum s, ys3 is historical fluorescence intensity data in a third group of data corresponding to the water content of the stratum corneum s, ysi is ith historical fluorescence intensity data corresponding to the water content of the stratum corneum s, ys0 is the average value of all the historical fluorescence intensity data corresponding to the water content of the stratum corneum s, and i is the number of data groups corresponding to the water content of the stratum corneum s; js1 is historical stratum corneum temperature data in the first group of data corresponding to the stratum corneum water content s, js2 is historical stratum corneum temperature data in the second group of data corresponding to the stratum corneum water content s, js3 is historical stratum corneum temperature data in the third group of data corresponding to the stratum corneum water content s, jsi is ith historical stratum corneum temperature data corresponding to the stratum corneum water content s, js0 is the average value of all the historical stratum corneum temperature data corresponding to the stratum corneum water content s; bs1 is historical background light intensity data in a first group of data corresponding to the water content of the stratum corneum s, bs2 is historical background light intensity data in a second group of data corresponding to the water content of the stratum corneum s, bs3 is historical background light intensity data in a third group of data corresponding to the water content of the stratum corneum s, bsi is ith historical background light intensity data corresponding to the water content of the stratum corneum s, and Bs0 is the average value of all the historical background light intensity data corresponding to the water content of the stratum corneum s;
The data processing module is also provided with a data cleaning unit, and the data cleaning unit analyzes the effectiveness of each group of historical measurement data according to the variance calculation result of each group of historical measurement data, wherein:
when (ysq-Ys 0) 2 When i is less than or equal to A1 xFs 1, the data cleaning unit judges that the water content of the stratum corneum is the historical fluorescence intensity number in the q-th group data corresponding to sIs effective; when (ysq-Ys 0) 2 When/i is more than A1 xFs 1, the data cleaning unit judges that the historical fluorescence intensity data in the q-th group data corresponding to the water content s of the stratum corneum is invalid, and rejects the q-th group data corresponding to the data;
when (jsq-Js 0) 2 When i is less than or equal to A2 xFs 2, the data cleaning unit judges that the historical stratum corneum temperature data in the q-th group of data corresponding to the stratum corneum water content s is valid; when (jsq-Js 0) 2 When/i is more than A2 xFs 2, the data cleaning unit judges that the historical stratum corneum temperature data in the q-th group data corresponding to the stratum corneum water content s is invalid, and rejects the q-th group data corresponding to the stratum corneum water content s;
when (bsq-Bs 0) 2 When i is less than or equal to A3 xFs 3, the data cleaning unit judges that the historical background light intensity data in the q-th group of data corresponding to the water content s of the stratum corneum is valid; when (bsq-Bs 0) 2 When/i is more than A3 xFs 3, the data cleaning unit judges that the historical background light intensity data in the q-th group data corresponding to the water content s of the stratum corneum is invalid, and rejects the q-th group data corresponding to the data;
Wherein ysq is historical fluorescence intensity data in the q-th group of data corresponding to the water content s of the stratum corneum, q is more than 0 and less than or equal to i; jsq is historical stratum corneum temperature data in the q-th group of data corresponding to the stratum corneum water content s; bsq is historical background light intensity data in the q-th group of data corresponding to the water content of the stratum corneum s; a1 is a first preset abnormal coefficient, and A1 is more than 1 and less than 1.3; a2 is a second preset anomaly coefficient, A2 is more than 1 and less than 1.23, A3 is a third preset anomaly coefficient, and A3 is more than 1 and less than 1.3.
Further, the data processing module sorts the historical fluorescence intensity data, the effective historical stratum corneum temperature data and the effective historical background light intensity data of the water content of each stratum corneum according to the sequence from big to small, analyzes the standard measurement range of the water content of the stratum corneum according to the sorting result, sets the standard measurement range of the water content of the stratum corneum as Rs, and sets the standard measurement range of the water content of the stratum corneum as s:
Rs(xs,ws,zs)={(xs,ws,zs)|ysmin≤xs≤ysmax，jsmin≤ws≤jsmax，bsmin≤zs≤bsmax}；
where xs is the fluorescence intensity of the water content of the stratum corneum s, ws is the temperature of the stratum corneum s, zs is the background light intensity of the water content of the stratum corneum s, ymin is the minimum value of the historical fluorescence intensity data of the water content of the stratum corneum s, ysmax is the maximum value of the historical fluorescence intensity data of the water content of the stratum corneum s, jsmin is the minimum value of the effective historical stratum corneum temperature data of the water content of the stratum corneum s, jsmin is the maximum value of the effective historical stratum corneum temperature data of the water content of the stratum corneum s, bsmin is the minimum value of the effective historical background light intensity data of the water content of the stratum corneum s, and bsmax is the maximum value of the effective historical background light intensity data of the water content of the stratum corneum s.
Further, the measurement calibration module measures the fluorescence intensity Y of the stratum corneum to be measured Real world Stratum corneum region temperature J Real world With background light intensity B Real world Acquisition is performed and the acquired measurement data is corrected by a standard measurement range of the water content of the stratum corneum, wherein:
when (when)When the measurement calibration module judges that the measurement result of the stratum corneum to be measured is matched with the standard measurement range of the stratum corneum with the water content s, and judges that the water content of the calibrated stratum corneum to be measured is s;
when (when)And when the measurement calibration module judges that the measurement result of the stratum corneum to be measured is not matched with the standard measurement range of the stratum corneum with the water content s.
Further, the measurement optimizing module is provided with a first optimizing unit, and the first optimizing unit is used for comparing the measurement time t0 of the skin cuticle to be measured with the preset measurement time t1 and optimizing the measured value of the fluorescence intensity of the cuticle to be measured once according to the comparison result, wherein:
when t0 is less than or equal to t1, the first optimizing unit judges that the measurement time is normal and does not perform optimization;
when t0 is more than t1, the first optimizing unit judges that the measurement time is abnormal, optimizes the measured value of the fluorescence intensity of the to-be-measured stratum corneum once, and optimizes the to-be-optimized measured value The fluorescence intensity of the horny layer was measured as Y Real world ' set Y Real world ’= Y Real world ×{1+0.23×sin[(t0-t1)×(π/2)/(t0+t1)]}。
Further, the measurement optimizing module is provided with a second optimizing unit, and the second optimizing unit is used for comparing the acquired measurement environment temperature k0 with a preset measurement environment temperature k1 and performing secondary optimization on the measured value of the fluorescence intensity of the to-be-measured stratum corneum according to the comparison, wherein:
when k0 is less than or equal to k1, the second optimizing unit judges that the measured ambient temperature is normal and does not perform optimization;
when k0 is greater than k1, the second optimizing unit judges that the measured ambient temperature is abnormal, and performs secondary optimization on the measurement process of the fluorescence intensity of the to-be-measured stratum corneum, wherein the preset measurement time after optimization is set as t1', and t1' =t1× {1+0.36×ln1+ (k 0-k 1)/k 0]/ln2}.
Further, the update module is provided with an anomaly analysis unit, the anomaly analysis unit is configured to calculate a measurement error rate u0 according to an actual measurement value p of the water content of the stratum corneum to be measured and an analysis value s of the water content of the stratum corneum to be measured, set u0= |p-s|/p, compare the measurement error rate with a preset error rate u1, and analyze the anomaly of the measurement error rate according to the comparison result, wherein:
when u0 is less than or equal to u1, the abnormality analysis unit judges that the measurement error rate is normal;
When u0 > u1, the abnormality analysis unit determines that the measurement error rate is abnormal.
Further, the updating module is provided with an updating unit, the updating unit calculates an abnormal duty ratio alpha according to the number M0 of the measured error rate anomalies and the total measured number M in the monitoring period, and sets alpha = M0/M, compares the abnormal duty ratio with a preset abnormal duty ratio alpha 0, and updates the analysis process of the validity of each group of historical measurement data in the next monitoring period according to the comparison result, wherein:
when alpha is less than or equal to alpha 0, the updating unit judges that the number of error rate abnormality measured in the current monitoring period is normal, and does not update;
when alpha > alpha 0, the updating unit judges that the number of the error rate abnormality measured in the current monitoring period is abnormal, updates the analysis process of the validity of each group of history measurement data in the next monitoring period, sets each updated preset abnormality coefficient Aa as Aa ', and sets Aa' =aa× [1-0.18× (alpha-alpha 0)/(alpha+alpha 0) ];
wherein a=1, 2,3.
Further, the update correction module is provided with a correction unit, and the correction unit is configured to compare a thickness h0 of the stratum corneum to be measured with a preset thickness h1, and correct an analysis process of abnormality of the measurement error rate according to a comparison result, wherein:
When h0 is less than or equal to h1, the correction unit judges that the thickness of the stratum corneum to be detected is normal, and correction is not performed;
when h0 > h1, the correction unit determines that the thickness of the stratum corneum to be measured is abnormal, and corrects the analysis process of the abnormality of the measured error rate, and sets the calibrated preset error rate as u1', u1' =u1× {1+arctan [ (h 0-h 1)/(h0+h 1) × (pi/4) ] }.
Further, the update correction module is provided with an adjustment unit, and the adjustment unit is configured to compare the acquired measured ambient humidity sd0 with a preset humidity sd1, and adjust an analysis process of abnormality of the measurement error rate according to a comparison result, where:
when sd0 is less than or equal to sd1, the adjusting unit judges that the measured ambient humidity is normal, and no adjustment is performed;
when sd0 > sd1, the adjustment unit determines that the measured ambient humidity is abnormal, and adjusts the correction process of the analysis process of the abnormality of the measured error rate, the adjusted preset thickness is set to be h1', and h1' =h1× (1-e 3(sd0 -sd1)/(sd0+sd1)-3 )。
Compared with the prior art, the method has the beneficial effects that the variance calculation unit calculates the variances of each group of historical measurement data to improve the accuracy of the validity analysis of the historical measurement data, so as to improve the accuracy of the stratum corneum water content standard measurement range analysis, thereby improving the accuracy of the calibration of the acquired measurement data and finally improving the quantitative measurement efficiency and accuracy of the object to be measured; the data cleaning unit improves the accuracy of the validity analysis of the historical measurement data by setting a preset abnormal coefficient, so as to improve the accuracy of the analysis of the standard measurement range of the water content of the stratum corneum, thereby improving the accuracy of the calibration of the acquired measurement data and finally improving the quantitative measurement efficiency and accuracy of the to-be-measured object; the data processing module analyzes through the standard measurement range of the water content of the stratum corneum so as to improve the accuracy of calibration of the acquired measurement data, and finally improve the quantitative measurement efficiency and accuracy of the to-be-measured object; the measurement calibration module corrects the measurement data of the stratum corneum to be measured according to the standard measurement range so as to improve the accuracy of measuring the water content of the stratum corneum to be measured and further improve the quantitative measurement efficiency and accuracy of the object to be measured; the first optimizing unit improves the accuracy of the measured value of the fluorescence intensity of the stratum corneum to be measured by setting preset measuring time so as to reduce the adverse effect of the fluorescence signal weakness on the measured value caused by overlong time, further improves the accuracy of the water content measurement of the stratum corneum to be measured, and finally improves the quantitative measuring efficiency and accuracy of the object to be measured; the second optimizing unit is used for improving the accuracy of the measured value of the fluorescence intensity of the stratum corneum to be measured by setting the preset temperature so as to reduce the adverse effect of the fluorescence molecular activity enhancement on the measured value caused by the overhigh temperature, further improving the accuracy of the water content measurement of the stratum corneum to be measured and finally improving the quantitative measurement efficiency and accuracy of the object to be measured; the anomaly analysis unit improves the accuracy of measurement error rate analysis by setting a preset error rate, further improves the accuracy of analysis of the validity of each group of historical measurement data in the next monitoring period, and finally improves the quantitative measurement efficiency and accuracy of the object to be measured; the anomaly analysis unit improves the accuracy of analysis of the validity of each group of historical measurement data in the next monitoring period by setting a preset anomaly duty ratio, and finally improves the quantitative measurement efficiency and accuracy of the object to be measured; the correction unit improves the accuracy of analysis of the abnormality of the measurement error rate by setting the preset thickness, further improves the accuracy of analysis of the validity of each group of historical measurement data, and finally improves the quantitative measurement efficiency and accuracy of the object to be measured; the adjustment unit improves the accuracy of analysis of the abnormality of the measurement error rate by setting the preset humidity, further improves the accuracy of analysis of the validity of each group of historical measurement data, and finally improves the quantitative measurement efficiency and accuracy of the object to be measured.
Drawings
FIG. 1 is a schematic diagram of a quantitative fluorescence measurement calibration system according to the present embodiment;
FIG. 2 is a schematic diagram of a data analysis module according to the present embodiment;
FIG. 3 is a schematic structural diagram of a measurement optimization module according to the present embodiment;
FIG. 4 is a schematic diagram of the update module according to the present embodiment;
fig. 5 is a schematic diagram of a structure of an update correction module according to the present embodiment.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a schematic structure of a quantitative fluorescence measurement calibration system according to the present embodiment is shown, which includes,
the information acquisition module is used for acquiring historical measurement data of the water content of each stratum corneum and measurement environment information, wherein the historical measurement data comprise fluorescence intensity data, stratum corneum temperature data and background light intensity data, and the measurement environment information comprises measurement environment temperature and measurement environment humidity; the measurement conditions of the historical measurement data of the water content of each stratum corneum in the embodiment should be the same, including but not limited to light source intensity, instrument model, fluorescent agent type, etc.; in this embodiment, the method for acquiring the historical measurement data of the moisture content of each stratum corneum and the measurement environment information is not specifically limited, and can be freely set by a person skilled in the art, and only the requirements for acquiring the historical measurement data of the moisture content of each stratum corneum and the measurement environment information are met, wherein the historical measurement data of the moisture content of each stratum corneum can be acquired interactively, the measurement environment temperature can be acquired through a temperature sensor, and the measurement environment humidity can be acquired through a humidity sensor;
the data analysis module is used for analyzing the effectiveness of the acquired stratum corneum water content historical measurement data to obtain effective historical measurement data, and is connected with the information acquisition module;
The data processing module is used for analyzing the standard measurement range of the water content of the stratum corneum according to the effective historical measurement data and is connected with the data analysis module;
the measuring and calibrating module is used for obtaining the measured values of the fluorescence intensity, the temperature and the background light intensity of the stratum corneum to be measured, correcting the measured values through the standard measuring range of the water content of the stratum corneum to obtain the water content of the stratum corneum to be measured, and is connected with the data analyzing module; in this embodiment, the fluorescence intensity of the stratum corneum to be measured, the temperature of the stratum corneum, and the background light intensity should be consistent with the measurement conditions of the historical data; in this embodiment, the manner of obtaining the measured values of the fluorescence intensity, the horny layer temperature and the background light intensity of the horny layer to be measured is not specifically limited, and can be freely set by a person skilled in the art, and only the requirements of obtaining the measured values of the fluorescence intensity, the horny layer temperature and the background light intensity of the horny layer to be measured are met, wherein the measured values of the fluorescence intensity, the horny layer temperature and the background light intensity of the horny layer to be measured can be obtained through interaction;
the measurement optimization module is used for optimizing the measurement process of the fluorescence intensity of the stratum corneum to be measured according to the measurement time and the measurement environment temperature of the stratum corneum to be measured, and is connected with the measurement calibration module; in this embodiment, the method for obtaining the measurement time of the stratum corneum to be measured is not specifically limited, and a person skilled in the art can freely set the method only by meeting the requirement for obtaining the measurement time of the stratum corneum to be measured, wherein the measurement time of the stratum corneum to be measured can be obtained through interaction;
The updating module is used for updating the analysis process of the effectiveness of the historical measurement data of the next monitoring period according to the actual measurement value of the water content of the stratum corneum to be detected in the monitoring period, and is connected with the data analysis module; in this embodiment, the method for obtaining the actual measurement value of the water content of the stratum corneum to be measured is not specifically limited, and a person skilled in the art can freely set the method only by meeting the requirement for obtaining the actual measurement value of the water content of the stratum corneum to be measured, wherein the actual measurement value of the water content of the stratum corneum to be measured can be obtained through Raman spectroscopy; in this embodiment, the setting of the monitoring period is not specifically limited, and a person skilled in the art can freely set the monitoring period only by meeting the setting requirement of the monitoring period, wherein the monitoring period can be set to 30 days, 40 days, 60 days, and the like;
the updating and correcting module is used for correcting the updating process of the analysis process of the effectiveness of the historical measurement data of the next monitoring period according to the thickness of the stratum corneum to be detected and the measured environmental humidity, and is connected with the updating module; in this embodiment, the manner of obtaining the thickness of the stratum corneum to be measured is not specifically limited, and a person skilled in the art can freely set the method, and only the requirement of obtaining the thickness of the stratum corneum to be measured is met, wherein the thickness of the stratum corneum to be measured can be obtained through interaction.
Fig. 2 is a schematic structural diagram of a data analysis module according to the present embodiment, where the data analysis module includes,
the variance calculation unit is used for respectively carrying out variance calculation on the historical fluorescence intensity data, the historical stratum corneum temperature data and the historical background light intensity data corresponding to the water content of each stratum corneum;
and the data cleaning unit is used for analyzing the effectiveness of each set of historical measurement data according to the variance calculation result of each set of historical measurement data, and is connected with the variance calculation unit.
Referring to fig. 3, a schematic structural diagram of a measurement optimization module according to the present embodiment is shown, where the measurement optimization module includes,
the first optimizing unit is used for optimizing the measured value of the fluorescence intensity of the stratum corneum to be measured once according to the acquired measured time of the stratum corneum to be measured;
the second optimizing unit is used for secondarily optimizing the measuring process of the fluorescence intensity of the stratum corneum to be measured according to the acquired measuring environment temperature, and is connected with the first optimizing unit.
Referring to fig. 4, a schematic structure diagram of an update module according to the present embodiment is shown, where the update module includes,
the abnormality analysis unit is used for analyzing abnormality of the analysis of the water content of the stratum corneum according to the actual measured value of the water content of the stratum corneum to be detected;
And the updating unit is used for updating the analysis process of the validity of each group of historical measurement data in the next monitoring period according to the abnormality analysis result of the analysis of the water content of the stratum corneum in the monitoring period, and is connected with the abnormality analysis unit.
Fig. 5 is a schematic structural diagram of an update correction module according to the present embodiment, where the update correction module includes,
the correction unit is used for correcting the analysis process of abnormality of the water content analysis of the stratum corneum according to the thickness of the stratum corneum to be detected;
and the adjusting unit is used for adjusting the analysis process of the abnormality of the analysis of the water content of the stratum corneum according to the acquired measurement environment humidity, and is connected with the correcting unit.
Specifically, the quantitative fluorescence measurement calibration system of the embodiment is applied to measurement of the water content of the stratum corneum, and the invention improves the quantitative measurement efficiency and accuracy of an object to be measured by analyzing historical measurement data, analyzing the standard measurement range of the water content of the stratum corneum according to analysis results, correcting the obtained measurement value according to the analysis results, and optimizing the standard measurement range of the water content of the stratum corneum according to measurement results in a monitoring period.
Specifically, the data analysis module calculates the variance of each set of historical measurement data to improve the accuracy of the historical measurement data validity analysis, preset abnormal coefficients are set to improve the accuracy of the historical measurement data validity analysis, and further improve the accuracy of the measurement range analysis of the stratum corneum water content standard, the data processing module analyzes the measurement range of the stratum corneum water content standard to improve the accuracy of the acquired measurement data calibration, and finally improves the quantitative measurement efficiency and accuracy of the to-be-measured object, the measurement calibration module corrects the measurement data of the stratum corneum to improve the accuracy of the measurement of the stratum corneum water content to be measured according to the standard measurement range, the measurement optimization module sets the preset measurement time to improve the accuracy of the measurement value of the fluorescence intensity of the stratum corneum to be measured, the measurement optimization module sets the preset measurement time to improve the accuracy of the fluorescence signal weakness to the measurement value, and further improve the accuracy of the measurement of the stratum corneum water content to be measured by setting preset temperature to improve the accuracy of the measurement value, the temperature is set to improve the accuracy of the measurement value of the fluorescence molecule activity enhancement to the measurement value, the update module sets the error rate unit set to improve the accuracy of the measurement error rate unit to improve the accuracy of the measurement error rate of the measurement data to be measured by setting the preset error rate unit, and the accuracy of the measurement error rate unit is set to improve the accuracy of the measurement value to be measured by setting the fluorescence signal weakness to improve the measurement accuracy of the measurement value, the accuracy of analysis of the abnormality of the measurement error rate is improved by setting the preset humidity, so that the accuracy of analysis of the validity of each group of historical measurement data is improved, and finally the quantitative measurement efficiency and accuracy of the object to be measured are improved.
Specifically, the variance calculation means calculates variances of the historical fluorescence intensity data, the historical stratum corneum temperature data, and the historical background light intensity data corresponding to the water content of each stratum corneum, and sets Fs1 as the variance of the historical fluorescence intensity data corresponding to the water content of the stratum corneum s:
Fs1=[(ys1-Ys0) 2 +(ys2-Ys0) 2 +(ys3-Ys0) 2 +...+(ysi-Ys0) 2 ]/i；
Ys0=(ys1+ys2+ys3+...+ysi)/i；
the variance calculation means sets Fs2 as the variance of the historical stratum corneum temperature data corresponding to the stratum corneum water content s:
Fs2=[(js1-Js0) 2 +(js2-Js0) 2 +(js3-Js0) 2 +...+(jsi-Js0) 2 ]/i；
Js0=(js1+js2+js3+...+jsi)/i；
the variance calculating means sets Fs3 as the variance of the historical background light intensity data corresponding to the stratum corneum water content s:
Fs3=[(bs1-Bs0) 2 +(bs2-Bs0) 2 +(bs3-Bs0) 2 +...+(bsi-Bs0) 2 ]/i；
Bs0=(bs1+bs2+bs3+...+bsi)/i；
wherein Ys1 is historical fluorescence intensity data in a first group of data corresponding to the water content of the stratum corneum s, ys2 is historical fluorescence intensity data in a second group of data corresponding to the water content of the stratum corneum s, ys3 is historical fluorescence intensity data in a third group of data corresponding to the water content of the stratum corneum s, ysi is ith historical fluorescence intensity data corresponding to the water content of the stratum corneum s, ys0 is the average value of all the historical fluorescence intensity data corresponding to the water content of the stratum corneum s, and i is the number of data groups corresponding to the water content of the stratum corneum s; js1 is historical stratum corneum temperature data in the first group of data corresponding to the stratum corneum water content s, js2 is historical stratum corneum temperature data in the second group of data corresponding to the stratum corneum water content s, js3 is historical stratum corneum temperature data in the third group of data corresponding to the stratum corneum water content s, jsi is ith historical stratum corneum temperature data corresponding to the stratum corneum water content s, js0 is the average value of all the historical stratum corneum temperature data corresponding to the stratum corneum water content s; bs1 is historical background light intensity data in the first group of data corresponding to the water content of the stratum corneum s, bs2 is historical background light intensity data in the second group of data corresponding to the water content of the stratum corneum s, bs3 is historical background light intensity data in the third group of data corresponding to the water content of the stratum corneum s, bsi is ith historical background light intensity data corresponding to the water content of the stratum corneum s, and Bs0 is the average value of all the historical background light intensity data corresponding to the water content of the stratum corneum s.
Specifically, the variance calculation unit calculates variances of each group of historical measurement data to improve accuracy of validity analysis of the historical measurement data, and further improve accuracy of analysis of a stratum corneum water content standard measurement range, so that accuracy of calibration of the obtained measurement data is improved, and finally quantitative measurement efficiency and accuracy of an object to be measured are improved.
Specifically, the data cleansing unit analyzes the validity of each set of history measurement data based on the variance calculation result of each set of history measurement data, wherein:
when (ysq-Ys 0) 2 When i is less than or equal to A1 xFs 1, the data cleaning unit judges that the historical fluorescence intensity data in the q-th group data corresponding to the water content s of the stratum corneum is valid; when (ysq-Ys 0) 2 When/i is more than A1 xFs 1, the data cleaning unit judges that the historical fluorescence intensity data in the q-th group data corresponding to the water content s of the stratum corneum is invalid, and rejects the q-th group data corresponding to the data;
when (jsq-Js 0) 2 When i is less than or equal to A2 xFs 2, the data cleaning unit judges that the historical stratum corneum temperature data in the q-th group of data corresponding to the stratum corneum water content s is valid; when (jsq-Js 0) 2 When/i is more than A2 xFs 2, the data cleaning unit judges that the historical stratum corneum temperature data in the q-th group data corresponding to the stratum corneum water content s is invalid, and rejects the q-th group data corresponding to the stratum corneum water content s;
When (bsq-Bs 0) 2 When i is less than or equal to A3 xFs 3, the data cleaning unit judges that the historical background light intensity data in the q-th group of data corresponding to the water content s of the stratum corneum is valid; when (bsq-Bs 0) 2 When/i is more than A3 xFs 3, the data cleaning unit judges that the historical background light intensity data in the q-th group data corresponding to the water content s of the stratum corneum is invalid, and rejects the q-th group data corresponding to the data;
wherein ysq is historical fluorescence intensity data in the q-th group of data corresponding to the water content s of the stratum corneum, q is more than 0 and less than or equal to i; jsq is historical stratum corneum temperature data in the q-th group of data corresponding to the stratum corneum water content s; bsq is historical background light intensity data in the q-th group of data corresponding to the water content of the stratum corneum s; a1 is a first preset abnormal coefficient, and A1 is more than 1 and less than 1.3; a2 is a second preset anomaly coefficient, A2 is more than 1 and less than 1.23, A3 is a third preset anomaly coefficient, and A3 is more than 1 and less than 1.3.
Specifically, the data cleaning unit improves the accuracy of the validity analysis of the historical measurement data by setting a preset abnormal coefficient, and further improves the accuracy of the analysis of the measurement range of the water content standard of the stratum corneum, so that the accuracy of the calibration of the acquired measurement data is improved, and finally the quantitative measurement efficiency and accuracy of the to-be-measured object are improved; in this embodiment, the value of each preset abnormal coefficient is not specifically limited, and a person skilled in the art can freely set the value of each preset abnormal coefficient only by meeting the value requirement of each preset abnormal coefficient, wherein the optimal value of A1 is 1.12, the optimal value of A2 is 1.23, and the optimal value of A3 is 1.25.
Specifically, the data processing module sorts the historical fluorescence intensity data, the effective historical stratum corneum temperature data and the effective historical background light intensity data of the water content of each stratum corneum according to the sequence from big to small, analyzes the standard measurement range of the water content of the stratum corneum according to the sorting result, sets the standard measurement range of the water content of the stratum corneum as Rs, and sets:
Rs(xs,ws,zs)={(xs,ws,zs)|ysmin≤xs≤ysmax，jsmin≤ws≤jsmax，bsmin≤zs≤bsmax}；
where xs is the fluorescence intensity of the water content of the stratum corneum s, ws is the temperature of the stratum corneum s, zs is the background light intensity of the water content of the stratum corneum s, ymin is the minimum value of the historical fluorescence intensity data of the water content of the stratum corneum s, ysmax is the maximum value of the historical fluorescence intensity data of the water content of the stratum corneum s, jsmin is the minimum value of the effective historical stratum corneum temperature data of the water content of the stratum corneum s, jsmin is the maximum value of the effective historical stratum corneum temperature data of the water content of the stratum corneum s, bsmin is the minimum value of the effective historical background light intensity data of the water content of the stratum corneum s, and bsmax is the maximum value of the effective historical background light intensity data of the water content of the stratum corneum s.
Specifically, the data processing module analyzes through the standard measurement range of the water content of the stratum corneum to improve the accuracy of calibration of the acquired measurement data, and finally improves the quantitative measurement efficiency and accuracy of the to-be-measured object; in this embodiment, the sorting method is not specifically limited, and a person skilled in the art can freely set the sorting method only by meeting the setting requirement of the sorting method, wherein the effective historical measurement data can be sorted by the bubbling sorting method.
Specifically, the measurement calibration module measures the fluorescence intensity Y of the stratum corneum to be measured Real world Stratum corneum region temperature J Real world With background light intensity B Real world Acquisition is performed and the acquired measurement data is corrected by a standard measurement range of the water content of the stratum corneum, wherein:
when (when)When the measurement calibration module judges that the measurement result of the stratum corneum to be measured is matched with the standard measurement range of the stratum corneum with the water content s, and judges that the water content of the calibrated stratum corneum to be measured is s;
when (when)And when the measurement calibration module judges that the measurement result of the stratum corneum to be measured is not matched with the standard measurement range of the stratum corneum with the water content s.
Specifically, the measurement calibration module corrects the measurement data of the stratum corneum to be measured according to the standard measurement range so as to improve the accuracy of measuring the water content of the stratum corneum to be measured, and further improve the quantitative measurement efficiency and accuracy of the object to be measured.
Specifically, the first optimizing unit compares the measurement time t0 of the skin cuticle to be measured with the preset measurement time t1, and optimizes the measured value of the fluorescence intensity of the skin cuticle to be measured once according to the comparison result, wherein:
when t0 is less than or equal to t1, the first optimizing unit judges that the measurement time is normal and does not perform optimization;
When t0 is greater than t1, the first optimizing unit judges that the measurement time is abnormal, optimizes the measured value of the fluorescence intensity of the stratum corneum to be measured once, and sets the fluorescence intensity of the stratum corneum to be measured after optimization as Y Real world ' set Y Real world ’=Y Real world ×{1+0.23×sin[(t0-t1)×(π/2)/(t0+t1)]}。
Specifically, the first optimizing unit sets a preset measuring time to improve the accuracy of the measured value of the fluorescence intensity of the stratum corneum to be measured, so that adverse effects of fluorescence signal weakness on the measured value caused by overlong time are reduced, the accuracy of water content measurement of the stratum corneum to be measured is improved, and the quantitative measuring efficiency and accuracy of the object to be measured are finally improved; in this embodiment, the preset measurement time is not specifically limited, and a person skilled in the art can freely set the preset measurement time only by meeting the setting requirement of the preset measurement time, wherein when the Nile Red fluorescent dye is used, the optimal value of the preset measurement time is 40s when the light source wavelength is 550 nm.
Specifically, the second optimizing unit compares the acquired measured ambient temperature k0 with a preset temperature k1, and performs secondary optimization on the measured value of the fluorescence intensity of the to-be-measured stratum corneum according to the comparison, wherein:
when k0 is less than or equal to k1, the second optimizing unit judges that the measured ambient temperature is normal and does not perform optimization;
When k0 is greater than k1, the second optimizing unit judges that the measured ambient temperature is abnormal, and performs secondary optimization on the measurement process of the fluorescence intensity of the to-be-measured stratum corneum, wherein the preset measurement time after optimization is set as t1', and t1' =t1× {1+0.36×ln1+ (k 0-k 1)/k 0]/ln2}.
Specifically, the second optimizing unit sets a preset temperature to improve the accuracy of the measured value of the fluorescence intensity of the stratum corneum to be measured, so that adverse effects of fluorescence molecular activity enhancement on the measured value caused by overhigh temperature are reduced, the accuracy of water content measurement of the stratum corneum to be measured is further improved, and the quantitative measurement efficiency and accuracy of the object to be measured are finally improved; in this embodiment, the preset temperature is not specifically limited, and a person skilled in the art can freely set the preset temperature only by meeting the setting requirement of the preset temperature, wherein when the Nile Red fluorescent dye is used, the optimal value of the preset temperature is 25 ℃ when the light source wavelength is 550 nm.
Specifically, the anomaly analysis unit calculates a measurement error rate u0 according to an actual measurement value p of the water content of the stratum corneum to be measured and an analysis value s of the water content of the stratum corneum to be measured, sets u0= |p-s|/p, compares the measurement error rate with a preset error rate u1, and analyzes the anomaly of the measurement error rate according to the comparison result, wherein:
When u0 is less than or equal to u1, the abnormality analysis unit judges that the measurement error rate is normal;
when u0 > u1, the abnormality analysis unit determines that the measurement error rate is abnormal.
Specifically, the abnormality analysis unit sets a preset error rate to improve the accuracy of analysis of the measurement error rate, so that the accuracy of analysis of the validity of each group of historical measurement data in the next monitoring period is improved, and finally the quantitative measurement efficiency and accuracy of the object to be measured are improved; in this embodiment, the setting of the preset error rate is not specifically limited, and a person skilled in the art can freely set the setting of the preset error rate only by meeting the setting requirement of the preset error rate, wherein the optimal value of u1 is 0.12.
Specifically, the updating unit calculates an abnormal duty ratio alpha according to the number M0 of the measured error rate anomalies and the total measured number M in the monitoring period, sets alpha=m0/M, compares the abnormal duty ratio with a preset abnormal duty ratio alpha 0, and updates the analysis process of the validity of each group of historical measurement data in the next monitoring period according to the comparison result, wherein:
when alpha is less than or equal to alpha 0, the updating unit judges that the number of error rate abnormality measured in the current monitoring period is normal, and does not update;
when alpha > alpha 0, the updating unit judges that the number of the error rate abnormality measured in the current monitoring period is abnormal, updates the analysis process of the validity of each group of history measurement data in the next monitoring period, sets each updated preset abnormality coefficient Aa as Aa ', and sets Aa' =aa× [1-0.18× (alpha-alpha 0)/(alpha+alpha 0) ];
Wherein a=1, 2,3, aa is a preset anomaly coefficient.
Specifically, the abnormality analysis unit sets a preset abnormality duty ratio to improve the accuracy of analysis of the validity of each group of historical measurement data in the next monitoring period, and finally improves the quantitative measurement efficiency and accuracy of the to-be-measured object; in this embodiment, the setting of the preset abnormal duty cycle is not specifically limited, and a person skilled in the art can freely set the setting of the preset abnormal duty cycle only by meeting the setting requirement of the preset abnormal duty cycle, wherein the optimal value of α0 is 0.25.
Specifically, the correction unit compares the thickness h0 of the stratum corneum to be measured with a preset thickness h1, and corrects an analysis process of abnormality of the measurement error rate according to a comparison result, wherein:
when h0 is less than or equal to h1, the correction unit judges that the thickness of the stratum corneum to be detected is normal, and correction is not performed;
when h0 > h1, the correction unit determines that the thickness of the stratum corneum to be measured is abnormal, and corrects the analysis process of the abnormality of the measured error rate, and sets the calibrated preset error rate as u1', u1' =u1× {1+arctan [ (h 0-h 1)/(h0+h 1) × (pi/4) ] }.
Specifically, the correction unit improves the accuracy of analysis of the abnormality of the measurement error rate by setting the preset thickness, further improves the accuracy of analysis of the validity of each group of historical measurement data, and finally improves the quantitative measurement efficiency and accuracy of the object to be measured; in this embodiment, the setting of the preset thickness is not specifically limited, and a person skilled in the art can freely set the setting of the preset thickness only by meeting the setting requirement of the preset thickness, wherein the optimal value of h1 is 30 micrometers.
Specifically, the adjustment unit compares the acquired measured ambient humidity sd0 with the preset humidity sd1, and adjusts an analysis process of abnormality of the measured error rate according to a comparison result, wherein:
when sd0 is less than or equal to sd1, the adjusting unit judges that the measured ambient humidity is normal, and no adjustment is performed;
when sd0 > sd1, the adjusting unit determines that the measured ambient humidity is abnormal, and corrects the analysis process of the abnormality of the measured error rateThe positive process is adjusted, the adjusted preset thickness is set as h1', and h1' =h1× (1-e 3(sd0 -sd1)/(sd0+sd1)-3 )。
Specifically, the adjusting unit sets preset humidity to improve the accuracy of analysis of abnormality of the measurement error rate, so that the accuracy of analysis of validity of each group of historical measurement data is improved, and finally the quantitative measurement efficiency and accuracy of the object to be measured are improved; in this embodiment, the setting of the preset humidity is not specifically limited, and a person skilled in the art can freely set the preset humidity only by meeting the setting requirement of the preset humidity, wherein the optimal value of sd1 is 70%.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (10)
1. A quantitative fluorescence measurement calibration system, comprising,
the information acquisition module is used for acquiring historical measurement data and measurement environment information of the water content of each stratum corneum;
the data analysis module is used for analyzing the effectiveness of the acquired stratum corneum water content historical measurement data to obtain effective historical measurement data;
the data processing module is used for analyzing the standard measurement range of the water content of the stratum corneum according to the effective historical measurement data;
the measuring and calibrating module is used for obtaining the measured values of the fluorescence intensity, the temperature and the background light intensity of the stratum corneum to be measured, and correcting the measured values through the standard measuring range of the water content of the stratum corneum to obtain the water content of the stratum corneum to be measured;
the measurement optimization module is used for optimizing the measurement process of the fluorescence intensity of the stratum corneum to be measured according to the acquired measurement time and the measurement environment temperature of the stratum corneum to be measured;
the updating module is used for updating the analysis process of the effectiveness of the historical measurement data of the next monitoring period according to the actual measurement value of the water content of the stratum corneum to be detected in the monitoring period;
the updating and correcting module is used for correcting the updating process of the analysis process of the effectiveness of the historical measurement data of the next monitoring period according to the thickness of the stratum corneum to be detected and the measured environmental humidity.
2. The quantitative fluorescence measurement calibration system according to claim 1, wherein the data analysis module is provided with a variance calculation unit for performing variance calculation on the historical fluorescence intensity data, the historical stratum corneum temperature data and the historical background light intensity data corresponding to the water content of each stratum corneum, respectively, and setting the variance of the historical fluorescence intensity data corresponding to the water content s of the stratum corneum as Fs 1:
Fs1=[(ys1-Ys0) 2 +(ys2-Ys0) 2 +(ys3-Ys0) 2 +...+(ysi-Ys0) 2 ]/i；
Ys0=(ys1+ys2+ys3+...+ysi)/i；
the variance calculation means sets Fs2 as the variance of the historical stratum corneum temperature data corresponding to the stratum corneum water content s:
Fs2=[(js1-Js0) 2 +(js2-Js0) 2 +(js3-Js0) 2 +...+(jsi-Js0) 2 ]/i；
Js0=(js1+js2+js3+...+jsi)/i；
the variance calculating means sets Fs3 as the variance of the historical background light intensity data corresponding to the stratum corneum water content s:
Fs3=[(bs1-Bs0) 2 +(bs2-Bs0) 2 +(bs3-Bs0) 2 +...+(bsi-Bs0) 2 ]/i；
Bs0=(bs1+bs2+bs3+...+bsi)/i；
wherein Ys1 is historical fluorescence intensity data in a first group of data corresponding to the water content of the stratum corneum s, ys2 is historical fluorescence intensity data in a second group of data corresponding to the water content of the stratum corneum s, ys3 is historical fluorescence intensity data in a third group of data corresponding to the water content of the stratum corneum s, ysi is ith historical fluorescence intensity data corresponding to the water content of the stratum corneum s, ys0 is the average value of all the historical fluorescence intensity data corresponding to the water content of the stratum corneum s, and i is the number of data groups corresponding to the water content of the stratum corneum s; js1 is historical stratum corneum temperature data in the first group of data corresponding to the stratum corneum water content s, js2 is historical stratum corneum temperature data in the second group of data corresponding to the stratum corneum water content s, js3 is historical stratum corneum temperature data in the third group of data corresponding to the stratum corneum water content s, jsi is ith historical stratum corneum temperature data corresponding to the stratum corneum water content s, js0 is the average value of all the historical stratum corneum temperature data corresponding to the stratum corneum water content s; bs1 is historical background light intensity data in a first group of data corresponding to the water content of the stratum corneum s, bs2 is historical background light intensity data in a second group of data corresponding to the water content of the stratum corneum s, bs3 is historical background light intensity data in a third group of data corresponding to the water content of the stratum corneum s, bsi is ith historical background light intensity data corresponding to the water content of the stratum corneum s, and Bs0 is the average value of all the historical background light intensity data corresponding to the water content of the stratum corneum s;
The data processing module is also provided with a data cleaning unit, and the data cleaning unit analyzes the effectiveness of each group of historical measurement data according to the variance calculation result of each group of historical measurement data, wherein:
when (ysq-Ys 0) 2 When i is less than or equal to A1 xFs 1, the data cleaning unit judges that the historical fluorescence intensity data in the q-th group data corresponding to the water content s of the stratum corneum is valid; when (ysq-Ys 0) 2 When/i is more than A1 xFs 1, the data cleaning unit judges that the historical fluorescence intensity data in the q-th group data corresponding to the water content s of the stratum corneum is invalid, and rejects the q-th group data corresponding to the data;
when (jsq-Js 0) 2 When i is less than or equal to A2 xFs 2, the data cleaning unit judges that the historical stratum corneum temperature data in the q-th group of data corresponding to the stratum corneum water content s is valid; when (jsq-Js 0) 2 When/i > A2 xFs 2, the data cleaning unit judges that the historical stratum corneum temperature data in the q-th group data corresponding to the stratum corneum water content s is absentThe method comprises the steps of (1) effectively eliminating the q-th group data corresponding to the q-th group data;
when (bsq-Bs 0) 2 When i is less than or equal to A3 xFs 3, the data cleaning unit judges that the historical background light intensity data in the q-th group of data corresponding to the water content s of the stratum corneum is valid; when (bsq-Bs 0) 2 When/i is more than A3 xFs 3, the data cleaning unit judges that the historical background light intensity data in the q-th group data corresponding to the water content s of the stratum corneum is invalid, and rejects the q-th group data corresponding to the data;
Wherein ysq is historical fluorescence intensity data in the q-th group of data corresponding to the water content s of the stratum corneum, q is more than 0 and less than or equal to i; jsq is historical stratum corneum temperature data in the q-th group of data corresponding to the stratum corneum water content s; bsq is historical background light intensity data in the q-th group of data corresponding to the water content of the stratum corneum s; a1 is a first preset abnormal coefficient, and A1 is more than 1 and less than 1.3; a2 is a second preset anomaly coefficient, A2 is more than 1 and less than 1.23, A3 is a third preset anomaly coefficient, and A3 is more than 1 and less than 1.3.
3. The quantitative fluorescence measurement calibration system of claim 2, wherein the data processing module orders the historical fluorescence intensity data, the effective historical stratum corneum temperature data, and the effective historical background light intensity data for each stratum corneum moisture content in order of magnitude, and analyzes a standard measurement range of stratum corneum moisture content based on the ordering result, and the data processing module sets a standard measurement range of stratum corneum moisture content s as Rs, and sets:
Rs(xs,ws,zs)={(xs,ws,zs)|ysmin≤xs≤ysmax，jsmin≤ws≤jsmax，bsmin≤zs≤bsmax}；
where xs is the fluorescence intensity of the water content of the stratum corneum s, ws is the temperature of the stratum corneum s, zs is the background light intensity of the water content of the stratum corneum s, ymin is the minimum value of the historical fluorescence intensity data of the water content of the stratum corneum s, ysmax is the maximum value of the historical fluorescence intensity data of the water content of the stratum corneum s, jsmin is the minimum value of the effective historical stratum corneum temperature data of the water content of the stratum corneum s, jsmin is the maximum value of the effective historical stratum corneum temperature data of the water content of the stratum corneum s, bsmin is the minimum value of the effective historical background light intensity data of the water content of the stratum corneum s, and bsmax is the maximum value of the effective historical background light intensity data of the water content of the stratum corneum s.
4. A quantitative fluorescence measurement calibration system according to claim 3, wherein the measurement calibration module is configured to measure fluorescence intensity Y of the stratum corneum to be measured Real world Stratum corneum region temperature J Real world With background light intensity B Real world Acquisition is performed and the acquired measurement data is corrected by a standard measurement range of the water content of the stratum corneum, wherein:
when (when)When the measurement calibration module judges that the measurement result of the stratum corneum to be measured is matched with the standard measurement range of the stratum corneum with the water content s, and judges that the water content of the calibrated stratum corneum to be measured is s;
when (when)And when the measurement calibration module judges that the measurement result of the stratum corneum to be measured is not matched with the standard measurement range of the stratum corneum with the water content s.
5. The quantitative fluorescence measurement calibration system according to claim 4, wherein the measurement optimizing module is provided with a first optimizing unit, the first optimizing unit is used for comparing the measurement time t0 of the stratum corneum to be measured with a preset measurement time t1 and optimizing the measurement value of the fluorescence intensity of the stratum corneum to be measured once according to the comparison result, and when t0 is less than or equal to t1, the first optimizing unit judges that the measurement time is normal and does not optimize;
When t0 is greater than t1, the first optimizing unit judges that the measurement time is abnormal, optimizes the measured value of the fluorescence intensity of the stratum corneum to be measured once, and sets the fluorescence intensity of the stratum corneum to be measured after optimization as Y Real world ' set Y Real world ’=Y Real world ×{1+0.23×sin[(t0-t1)×(π/2)/(t0+t1)]}。
6. The quantitative fluorescence measurement calibration system of claim 5, wherein the measurement optimization module is provided with a second optimization unit for comparing the acquired measured ambient temperature k0 with a preset measured ambient temperature k1 and performing a secondary optimization based on the compared measured value of the fluorescence intensity of the stratum corneum to be measured, wherein:
when k0 is less than or equal to k1, the second optimizing unit judges that the measured ambient temperature is normal and does not perform optimization;
when k0 is greater than k1, the second optimizing unit judges that the measured ambient temperature is abnormal, and performs secondary optimization on the measurement process of the fluorescence intensity of the to-be-measured stratum corneum, wherein the preset measurement time after optimization is set as t1', and t1' =t1× {1+0.36×ln1+ (k 0-k 1)/k 0]/ln2}.
7. The quantitative fluorescence measurement calibration system of claim 4, wherein the update module is provided with an anomaly analysis unit for calculating a measurement error rate u0 based on an actual measurement value p of the water content of the stratum corneum to be measured and an analysis value s of the water content of the stratum corneum to be measured, setting u0= |p-s|/p, comparing the measurement error rate with a preset error rate u1, and analyzing anomaly of the measurement error rate based on the comparison result, wherein:
When u0 is less than or equal to u1, the abnormality analysis unit judges that the measurement error rate is normal;
when u0 > u1, the abnormality analysis unit determines that the measurement error rate is abnormal.
8. The quantitative fluorescence measurement calibration system of claim 7, wherein the update module is provided with an update unit for calculating an anomaly duty ratio α according to a number M0 of measured error rate anomalies and a total measured number M in a monitoring period, setting α=m0/M, comparing the anomaly duty ratio with a preset anomaly duty ratio α0, and updating an analysis process of validity of each set of historical measurement data in a next monitoring period according to the comparison result, wherein:
when alpha is less than or equal to alpha 0, the updating unit judges that the number of error rate abnormality measured in the current monitoring period is normal, and does not update;
when alpha > alpha 0, the updating unit judges that the number of the error rate abnormality measured in the current monitoring period is abnormal, updates the analysis process of the validity of each group of history measurement data in the next monitoring period, sets each updated preset abnormality coefficient Aa as Aa ', and sets Aa' =aa× [1-0.18× (alpha-alpha 0)/(alpha+alpha 0) ];
wherein a=1, 2,3.
9. The quantitative fluorescence measurement calibration system of claim 7, wherein the update/correction module is provided with a correction unit for comparing a thickness h0 of the stratum corneum to be measured with a preset thickness h1 and correcting an analysis process of abnormality of the measurement error rate according to the comparison result, wherein:
When h0 is less than or equal to h1, the correction unit judges that the thickness of the stratum corneum to be detected is normal, and correction is not performed;
when h0 > h1, the correction unit determines that the thickness of the stratum corneum to be measured is abnormal, and corrects the analysis process of the abnormality of the measured error rate, and sets the calibrated preset error rate as u1', u1' =u1× {1+arctan [ (h 0-h 1)/(h0+h 1) × (pi/4) ] }.
10. The quantitative fluorescence measurement calibration system of claim 9, wherein the update correction module is provided with an adjustment unit for comparing the acquired measured ambient humidity sd0 with a preset humidity sd1 and adjusting an analysis process of abnormality of the measurement error rate according to the comparison result, wherein:
when sd0 is less than or equal to sd1, the adjusting unit judges that the measured ambient humidity is normal, and no adjustment is performed;
when sd0 > sd1, the adjustment unit determines that the measured ambient humidity is abnormal, and adjusts the correction process of the analysis process of the abnormality of the measured error rate, the adjusted preset thickness is set to be h1', and h1' =h1× (1-e 3(sd0 -sd1)/(sd0+sd1)-3 )。
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| CN117518061A (en) * | 2024-01-04 | 2024-02-06 | 山东大学 | Electric measuring instrument detection data inspection system and method |
| CN117538229A (en) * | 2024-01-10 | 2024-02-09 | 山东顺凯文化创意产业有限公司 | Ecological environment quality monitoring system |
| CN117575139A (en) * | 2023-11-16 | 2024-02-20 | 山东智垒建筑工程有限公司 | Carbon emission monitoring system in building process |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116755376A (en) * | 2023-08-17 | 2023-09-15 | 山东福禾菌业科技股份有限公司 | Monitoring method and system based on agricultural Internet of things |
| CN116993230A (en) * | 2023-09-26 | 2023-11-03 | 山东省智能机器人应用技术研究院 | Machine polishing operation quality evaluation system |
| CN117575139A (en) * | 2023-11-16 | 2024-02-20 | 山东智垒建筑工程有限公司 | Carbon emission monitoring system in building process |
| CN117518061A (en) * | 2024-01-04 | 2024-02-06 | 山东大学 | Electric measuring instrument detection data inspection system and method |
| CN117538229A (en) * | 2024-01-10 | 2024-02-09 | 山东顺凯文化创意产业有限公司 | Ecological environment quality monitoring system |
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