CN112304847A - Data comparison and automatic early warning method for cigarette filter stick physical index detection instrument - Google Patents
Data comparison and automatic early warning method for cigarette filter stick physical index detection instrument Download PDFInfo
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Abstract
The invention provides a data comparison and automatic early warning method for a cigarette filter stick physical index detection instrument, which comprises the steps of obtaining a first preset number of detection samples, obtaining a second preset number of test samples, respectively placing the detection samples and the test samples in a plurality of detection instruments for detection, and obtaining a plurality of groups of detection data; judging whether abnormal data exist in each group of detection data; if no abnormal data exists, selecting one instrument as a reference detection instrument; judging whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument meet a preset first detection formula, wherein the first detection formula is a detection formula based on the standard deviation of the detection data of the reference detection instrument and the standard deviation of the detection data of the comparison detection instrument; and if the detection data of the comparison detection instrument does not satisfy the first detection formula, specially displaying the detection data of a group of comparison detection instruments which do not satisfy the first detection formula. The invention can realize the automatic comparison of the data of the physical index detecting instrument of the cigarette filter stick.
Description
Technical Field
The invention relates to the field of data processing of cigarette filter stick physical index detecting instruments, in particular to a data comparison and automatic early warning method of a cigarette filter stick physical index detecting instrument.
Background
The filter stick is an important part of the cigarette, the physical index of the cigarette filter stick is a key quality detection item of the cigarette and a filter stick product, and certain influence is exerted on the internal sensory quality and the safety index of the cigarette. In cigarette filter rod production enterprises, machine self-checking, online sampling inspection and finished product sampling inspection all need to detect the physical indexes of filter rods. However, since the detecting instruments are different in use and maintenance personnel, the detecting instruments are large in number and wide in distribution, and manufacturers and models of the detecting instruments may be different, in order to make the detected data accurate and reliable and effectively guide production, data comparison needs to be performed on each detecting instrument regularly, abnormal conditions of the detecting instruments are found timely, and the abnormal detecting instruments are adjusted and corrected to make the difference of detected values within an allowable range.
At present, in order to enhance the fine control of quality management, most production enterprises install data acquisition software on detection equipment, and upload detection data to an information system through a network port, but the acquired information is mainly used for process quality detection records, and the comparison and judgment of instruments are also lost.
During the actual use of the detection instrument, more or less data deviation exists. When data among instruments are compared and analyzed by process quality personnel, the process quality personnel only adopt a manual mode to regularly measure and record the data, and judge whether the deviation among the instruments meets the requirements or not according to empirical analysis. However, in the manual recording and analysis mode, the possibility of data misreading exists, and the standard without reasonable specification can definitely judge whether the deviation between the detection data of the instrument can be allowed or not.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a data comparison and automatic early warning method for a cigarette filter stick physical index detecting instrument, which is used for judging whether the data difference between the cigarette filter stick physical index detecting instruments meets the requirements or not, and a method for automatically judging and early warning in an information system, and solves the problem that the efficiency and the accuracy are low because the comparison of the physical index data depends on manual statistics and is judged by experience at present.
In order to achieve the purpose, the invention is realized by the following technical scheme: a data comparison and automatic early warning method for a cigarette filter stick physical index detection instrument comprises the following steps: randomly obtaining a first preset number of detection samples, obtaining a second preset number of test samples, respectively placing the detection samples and the test samples in more than two detection instruments for detection, and obtaining a plurality of groups of detection data, wherein the detection data of each detection instrument is a group of detection data; sequentially judging whether abnormal data exist in each group of detection data by applying a Lauda criterion, and sending prompt information if the abnormal data exist; if no abnormal data exists, one of the multiple detecting instruments is selected as a reference detecting instrument, and the other detecting instruments are comparison detecting instruments; judging whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument meet a preset first detection formula, wherein the first detection formula is a detection formula based on the standard deviation of the detection data of the reference detection instrument and the standard deviation of the detection data of the comparison detection instrument; and if the detection data of the comparison detection instrument does not meet the first detection formula, displaying the detection data of a group of comparison detection instruments which do not meet the first detection formula in a preset format.
Further, determining whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument satisfy a preset first detection formula includes: if the physical index is the first accuracy requirement, the first detection formula is as follows:
wherein, yiFor comparison with the mean value of the measurement data, y, of the measuring instrument0Mean value of measured data, s, for a reference measuring instrumentiFor comparison of standard deviation of test data of the test instrument, s0And n is the standard deviation of the detection data of the reference detection instrument, and the number of the detection samples of a single detection instrument.
Further, whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument meet a preset first detection criterion or not is judgedThe formula comprises: if the physical index is the second precision requirement, the first detection formula is as follows:
wherein, yiFor comparison with the mean value of the measurement data, y, of the measuring instrument0Mean value of measured data, s, for a reference measuring instrumentiFor comparison of standard deviation of test data of the test instrument, s0And n is the standard deviation of the detection data of the reference detection instrument, n is the number of detection samples of a single detection instrument, and k is an expanded uncertainty factor obtained by checking a t distribution table according to the degree of freedom v-n-1 and the confidence probability P95%.
Further, the prompt message is a prompt message for prompting that a backup sample needs to be taken for re-measurement or whether the detection instrument is abnormal or not.
The data comparison and automatic early warning method of the cigarette filter stick physical index detection instrument provided by the invention can also comprise the following steps: randomly obtaining a first preset number of detection samples, obtaining a second preset number of test samples, respectively placing the detection samples and the test samples in more than two detection instruments for detection, and obtaining a plurality of groups of detection data, wherein the detection data of each detection instrument is a group of detection data; sequentially judging whether abnormal data exist in each group of detection data by applying a Lauda criterion, and sending prompt information if the abnormal data exist; if the abnormal data does not exist, judging whether the detection data of any one detection instrument and the detection data of all the detection instruments meet a preset second detection formula, wherein the second detection formula is a detection formula based on the standard deviation of the detection data of the detection instruments; and if the detection data of any one detection instrument does not meet the second detection formula, displaying the detection data of a group of detection instruments which do not meet the second detection formula in a preset format.
Further, the step of judging whether the detection data of any one of the detection instruments and the detection data of all the detection instruments meet a preset second detection formula includes: if the physical index is the first precision requirement, the second detection formula is as follows:
wherein, yiIs the average value of the detection data of a single detection instrument,
the average value of the detection data of all the detection instruments is s, the standard deviation of the detection data of all the detection instruments is s, and the number of the detection samples of a single detection instrument is n.
Further, the step of judging whether the detection data of any one of the detection instruments and the detection data of the detection instrument meet a preset second detection formula includes: if the physical index is the second precision requirement, the second detection formula is as follows:
wherein, yiIs the average value of the detection data of a single detection instrument,
the average value of the detection data of all the detection instruments is shown, s is the standard deviation of the detection data of all the detection instruments, n is the number of detection samples of a single detection instrument, and k is an expanded uncertainty factor obtained by checking a t distribution table with the degree of freedom v being n-1 and the confidence probability P being 95%.
Further, the prompt message is a prompt message for prompting that a backup sample needs to be taken for re-measurement or whether the detection instrument is abnormal or not.
Compared with the prior art, the invention has the beneficial effects that:
the invention fully utilizes the expansibility of the system without changing the structure of the original data acquisition system, realizes the automatic early warning of the physical index comparison result based on the detection formula of the physical index detection instrument comparison result of the cigarette filter stick with data measurement uncertainty under the two conditions of the existence of a reference detection instrument and the absence of the reference detection instrument by programming and fusing in the system, helps the process personnel to find abnormality and eliminate difference in time, achieves the aim of improving the quality control precision, has simple operation, is easy to learn and use, is suitable for different quality personnel, and has strong popularization practicability.
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FIG. 1 is a flow chart of a first embodiment of the present invention.
FIG. 2 is a flow chart of a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the method of the present invention is implemented by using a computer program, that is, the data collection, analysis and calculation are implemented by a program running on a computer, and abnormal data is displayed.
The method of the present invention has two implementation modes, the first implementation mode is a mode with a reference detection instrument, the second detection mode is a mode without a reference detection instrument, and the two implementation modes are respectively explained by two examples.
The first embodiment:
the embodiment is a data comparison and automatic early warning method for a cigarette filter stick physical index detection instrument, and particularly relates to an implementation mode based on a reference detection instrument. After the production equipment of the cigarette filter sticks operates stably, randomly extracting a proper number of cigarette filter stick samples according to the number of detection instruments required to detect, and uniformly mixing; randomly extracting the same number of samples from the test samples, respectively placing the samples in each detection instrument, and measuring various material indexes of the cigarette filter stick through the detection instruments. The detection instruments send measured data to an information system, the system runs on a computer program on a computer, the information system automatically calculates and analyzes the detection data uploaded by the detection instruments and judges whether the data acquired by the detection instruments are abnormal or not, for example, whether the data in a group are abnormal or not in a group of data uploaded by each detection instrument or not is judged, if the data in the group are abnormal, prompt information is sent out, if the data in the group are not abnormal, comparison of the data between groups is carried out, analysis and calculation are carried out, and the data which do not meet requirements are displayed in preset formats such as red and the like, so that early warning of the detection instruments is realized.
Referring to fig. 1, step S1 is first executed to obtain a test sample and a test sample, and the test samples are respectively placed in a plurality of test instruments. Specifically, when the filter stick production equipment of the cigarette runs stably, according to the number of detection instruments required to detect, a first preset number of cigarette filter stick samples are randomly extracted and uniformly mixed for later use. Assuming that the number of detecting instruments to be detected is n, the first preset number is 2n x (20-50). Then, randomly drawing a second preset number of test samples from the test samples, and respectively placing the second preset number of test samples in each detection instrument, wherein the second preset number is preferably 20-50. Then, a data comparison item is set in a data acquisition program operated in the detection instrument, measurement is carried out according to a detection procedure, and data of multiple physical indexes are obtained.
And after the data measurement of each physical index by each detection instrument is finished, the measurement data of each detection instrument is sent to the information system, and the measurement data acquired by each detection instrument is a group of detection numbers. The information system executes step S2, and sequentially determines whether abnormal data exists in the data in each group in the detection data according to the ralston criterion (3 σ criterion), that is, sequentially determines whether the detection data acquired by a single detection instrument satisfies the requirement of formula 1:
in formula 1, xiFor the value of a single piece of inspection data,
σ is the standard deviation of the set of test data as the mean of the set of test data.
If a certain group of data does not satisfy the requirement of formula 1, step S3 is executed to send out a prompt message, specifically, the prompt message is a prompt message for prompting that a backup sample needs to be taken to re-measure or to check whether the detection instrument is abnormal.
If each set of test data meets the requirement of the above formula 1, step S4 is executed, one of the test instruments is selected as a reference test instrument, and the other test instruments are selected as comparison test instruments. Then, step S5 is executed to determine whether the detected data of the reference detecting instrument and the detected data of the comparison detecting instrument satisfy a preset first detection formula, wherein the first detection formula is a detection formula based on the standard deviation of the detected data of the reference detecting instrument and the standard deviation of the detected data of the comparison detecting instrument.
In this embodiment, the accuracy requirements of the physical index may be set, for example, the accuracy requirements are very high and high, respectively, and for the two cases, different first detection formulas are used for calculation. For example, when the physical index contrast accuracy requirement is high, the calculation is performed by using the following equation 2.
In the formula 2, yiFor comparison with the mean value of the measurement data, y, of the measuring instrument0Mean value of measured data, s, for a reference measuring instrumentiFor comparison of standard deviation of test data of the test instrument, s0And n is the standard deviation of the detection data of the reference detection instrument, and the number of the detection samples of a single detection instrument.
When the requirement for the contrast accuracy of the physical index is very high, the following formula 3 is used for calculation.
In the formula 2, yiFor comparison with the mean value of the measurement data, y, of the measuring instrument0Mean value of measured data, s, for a reference measuring instrumentiFor comparison of standard deviation of test data of the test instrument, s0For reference detection of instrumentsAnd measuring the standard deviation of data, wherein n is the number of detection samples of a single detection instrument, k is an extended uncertainty factor obtained by checking a t distribution table, and the degree of freedom v is n-1, and the confidence probability P is 95%.
If the abnormal detection data among the groups does not appear, the process is ended, and prompt information that the abnormality of the detection instrument is not found is displayed. If the detected data of any group does not satisfy the first detection formula, step S6 is executed, and the information system displays the group of detected data in a preset format, for example, the group of detected data is displayed in red, or in a special format such as underline and bold.
The specific operation of applying the embodiment is as follows: firstly, when the cigarette making and plug assembling equipment is stable in operation, randomly extracting 80 cigarettes, uniformly mixing the cigarettes for later use, then randomly extracting 20 cigarettes from a test sample, respectively placing the cigarettes in two QTM four-function comprehensive test instruments QTM001 and QTM002, setting a data comparison item in data acquisition software of the test instruments, and carrying out measurement according to a test procedure. After the measurement is finished, the data acquisition software automatically acquires the measurement data of each detection instrument to the information system, for example, the data acquired by two detection instruments is shown in table 1 below.
TABLE 1
Wherein mean is the mean, SD is the standard deviation, max is the maximum, and min is the minimum.
Then, the information system automatically and sequentially judges the detection data collected by the two detection instruments according to the Lauda criterion, wherein the detection data comprises the maximum and minimum detection values of weight, circumference, suction resistance and hardness, and the judgment result shows that no abnormity exists and the judgment data is normal.
Then, a QTM001 instrument of a finished product detection room is selected as a reference detection instrument, the other QTM001 instrument is a comparison detection instrument, data of the two detection instruments are compared, and whether the data comparison result meets the requirements of the formula 2 or the formula 3 or not is automatically calculated and judged according to the accuracy requirement of the physical indexes. The calculation results are shown in table 2, where the degree of freedom v is 20-1 is 19, the confidence probability P is 95%, and the expanded uncertainty factor k obtained by looking up the distribution table is 2.093.
TABLE 2
As can be seen from the data in table 2, it can be determined that the weight and hardness index does not satisfy formula 2 nor formula 3, the circumference index satisfies formula 2 or formula 3, and the suction resistance index satisfies formula 2 or formula 3. Therefore, the unsatisfactory inspection data is displayed using a preset format.
If the selection accuracy in the information system is very high and the judgment is carried out by using the formula 3, the comparison results of weight, suction resistance and hardness in the detection data of the early warning prompt QTM002 in the information system do not meet the requirements. If the selection accuracy in the system is high, and the judgment is carried out by using the formula 2, the QTM002 weight and hardness comparison result can not meet the requirements through early warning in the information system.
Second embodiment:
the embodiment is an implementation mode based on a non-reference detection instrument. Specifically, after the production equipment of the cigarette filter stick operates stably, the proper number of cigarette filter stick samples are randomly extracted according to the number of detection instruments required to detect, and are uniformly mixed; randomly extracting the same number of samples from the test samples, respectively placing the samples in each detection instrument, and measuring various material indexes of the cigarette filter stick through the detection instruments. The detection instruments send measured data to an information system, the system runs on a computer program on a computer, the information system automatically calculates and analyzes the detection data uploaded by the detection instruments and judges whether the data acquired by the detection instruments are abnormal or not, for example, whether the data in a group are abnormal or not in a group of data uploaded by each detection instrument or not is judged, if the data in the group are abnormal, prompt information is sent out, if the data in the group are not abnormal, comparison of the data between the groups is carried out, analysis and calculation are carried out, and the data which do not meet requirements are displayed in red, so that early warning of the detection instruments is realized.
Referring to fig. 2, step S11 is first executed to obtain a test sample and a test sample, and the test samples are respectively placed in a plurality of test instruments. Specifically, when the filter stick production equipment of the cigarette runs stably, according to the number of detection instruments required to detect, a first preset number of cigarette filter stick samples are randomly extracted and uniformly mixed for later use. Assuming that the number of detecting instruments to be detected is n, the first preset number is 2n x (20-50). Then, randomly drawing a second preset number of test samples from the test samples, and respectively placing the second preset number of test samples in each detection instrument, wherein the second preset number is preferably 20-50. Then, a data comparison item is set in a data acquisition program operated in the detection instrument, measurement is carried out according to a detection procedure, and data of multiple physical indexes are obtained.
And after the data measurement of each physical index by each detection instrument is finished, the measurement data of each detection instrument is sent to the information system, and the measurement data acquired by each detection instrument is a group of detection numbers. The information system executes step S12, and sequentially determines whether abnormal data exists in the data in each group in the detection data according to the ralston criterion (3 σ criterion), that is, sequentially determines whether the detection data acquired by a single detection instrument satisfies the requirement of formula 4:
in formula 4, xiFor the value of a single piece of inspection data,
σ is the standard deviation of the set of test data as the mean of the set of test data.
If the data which does not satisfy the requirement of the formula 4 exists, step S13 is executed to send out a prompt message, specifically, the prompt message is a prompt message which prompts that a backup sample needs to be taken for re-measurement or whether the detection instrument is abnormal or not.
If each set of the detection data meets the requirement of the above equation 4, step S14 is executed to determine whether the detection data of any one of the detection apparatuses and the detection data of all the detection apparatuses meet a preset second detection equation, where the second detection equation is based on the standard deviation of the detection data of the detection apparatuses.
In this embodiment, the accuracy requirements of the physical index may be set, for example, the accuracy requirements are very high and high, respectively, and for the two cases, different second detection formulas are used for calculation. For example, when the physical index contrast accuracy requirement is high, the following equation 5 is used for calculation.
In formula 5, yiIs the average value of the detection data of a single detection instrument,
the average value of the detection data of all the detection instruments is s, the standard deviation of the detection data of all the detection instruments is s, and the number of the detection samples of a single detection instrument is n.
When the requirement for the physical index contrast accuracy is very high, the following equation 6 is used for calculation.
In formula 6, yiIs the average value of the detection data of a single detection instrument,
the mean value of the detection data of all the detection instruments, s the standard deviation of the detection data of all the detection instruments, n the number of the detection samples of a single detection instrument, k the degree of freedom v-n-1, the confidence probability P95 percent and t distribution tableThe extended uncertainty factor.
If the abnormal detection data among the groups does not appear, the process is ended, and prompt information that the abnormality of the detection instrument is not found is displayed. If the detected data of any group does not satisfy the second detection formula, step S15 is executed, and the information system displays the group of detected data in a preset format, for example, the group of detected data is displayed in red, or in a special format such as underline and bold.
The specific operation of applying the embodiment is as follows: firstly, when the cigarette making and tipping machine equipment operates stably, 120 cigarettes are randomly drawn and uniformly mixed for later use. Then, randomly extracting 20 cigarettes from the test samples, respectively placing the cigarettes in three Ruiton four-function comprehensive test benches in a workshop, setting a data comparison item in data acquisition software of a detection instrument, and carrying out measurement according to a detection rule. After the data measurement is finished, the data acquisition software automatically transmits the measurement data of each detection instrument to the information system, for example, the acquired data is as shown in table 3 below.
TABLE 3
And then, the information system sequentially judges that the maximum and minimum detection values of the weight, the circumference, the suction resistance and the length of the plurality of detection instruments are not abnormal according to the Lauda criterion, and judges that the data is normal. In this embodiment, since a certain detection instrument is not selected as a reference, the three sets of data are compared, and whether the data comparison result meets the requirement of formula 5 or formula 6 is automatically calculated and determined according to the accuracy requirement of the physical index. The expanded uncertainty factor k obtained by looking up the distribution table is 2.093, with the degree of freedom v being 20-1 being 19 and the confidence probability P being 95%. The results calculated according to formula 5 or formula 6 are shown in table 4 below.
TABLE 4
From the above results, it can be seen that, in the three measuring instruments, the comparison results of the length data of the measuring instrument RT001, the circumference, the suction resistance and the length data of the measuring instrument RT002 and the circumference data of the measuring instrument RT003 do not satisfy formula 6, but satisfy formula 5.
If the selection accuracy in the system is very high, and the judgment is carried out by using the formula 6, the early warning in the information system prompts that the length data of the detecting instrument RT001, the circumference, the suction resistance and the length data of the detecting instrument RT002 and the circumference data of the detecting instrument RT003 are not in accordance with the requirements. If the selection accuracy in the information system is high, the judgment is carried out by using the formula 5, and the comparison data without instruments does not meet the requirement.
Therefore, the invention fully utilizes the expansibility of the system without changing the structure of the original data acquisition system, realizes the automatic early warning of the physical index comparison result based on the detection formula of the physical index detection instrument comparison result of the cigarette filter stick with the uncertainty of data measurement under the two conditions of the existence of the reference detection instrument and the absence of the reference detection instrument in the system through programming fusion, helps the process personnel to find the abnormality and eliminate the difference in time, achieves the aim of improving the quality control precision, has simple operation, is easy to learn and use, is suitable for different quality personnel, and has strong popularization practicability.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A data comparison and automatic early warning method for a cigarette filter stick physical index detection instrument is characterized by comprising the following steps:
randomly obtaining a first preset number of detection samples, obtaining a second preset number of test samples, respectively placing the detection samples and the test samples in more than two detection instruments for detection, and obtaining a plurality of groups of detection data, wherein the detection data of each detection instrument is a group of detection data;
sequentially judging whether abnormal data exist in each group of detection data by applying a Lauda criterion, and sending prompt information if the abnormal data exist;
if no abnormal data exists, one of the plurality of detecting instruments is selected as a reference detecting instrument, and the other detecting instruments are comparison detecting instruments;
judging whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument meet a preset first detection formula, wherein the first detection formula is a detection formula based on the standard deviation of the detection data of the reference detection instrument and the standard deviation of the detection data of the comparison detection instrument;
and if the detection data of the comparison detection instrument does not meet the first detection formula, displaying the detection data of a group of comparison detection instruments which do not meet the first detection formula in a preset format.
2. The data comparison and automatic early warning method for the cigarette filter stick physical index detection instrument according to claim 1, which is characterized in that:
judging whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument meet a preset first detection formula or not comprises the following steps:
if the physical index is the first accuracy requirement, the first detection formula is as follows:
wherein, yiFor comparison with the mean value of the measurement data, y, of the measuring instrument0Mean value of measured data, s, for a reference measuring instrumentiFor comparison of standard deviation of test data of the test instrument, s0And n is the standard deviation of the detection data of the reference detection instrument, and the number of the detection samples of a single detection instrument.
3. The data comparison and automatic early warning method for the cigarette filter stick physical index detection instrument according to claim 1, which is characterized in that:
judging whether the detection data of the reference detection instrument and the detection data of the comparison detection instrument meet a preset first detection formula or not comprises the following steps:
if the physical index is the second precision requirement, the first detection formula is as follows:
wherein, yiFor comparison with the mean value of the measurement data, y, of the measuring instrument0Mean value of measured data, s, for a reference measuring instrumentiFor comparison of standard deviation of test data of the test instrument, s0And n is the standard deviation of the detection data of the reference detection instrument, n is the number of detection samples of a single detection instrument, and k is an expanded uncertainty factor obtained by checking a t distribution table according to the degree of freedom v-n-1 and the confidence probability P95%.
4. The data comparison and automatic early warning method for the cigarette filter stick physical index detection instrument according to any one of claims 1 to 3, characterized in that:
the prompt information is used for prompting that a backup sample needs to be taken for re-measurement or whether the detection instrument is abnormal or not.
5. A data comparison and automatic early warning method for a cigarette filter stick physical index detection instrument is characterized by comprising the following steps:
randomly obtaining a first preset number of detection samples, obtaining a second preset number of test samples, respectively placing the detection samples and the test samples in more than two detection instruments for detection, and obtaining a plurality of groups of detection data, wherein the detection data of each detection instrument is a group of detection data;
sequentially judging whether abnormal data exist in each group of detection data by applying a Lauda criterion, and sending prompt information if the abnormal data exist;
if no abnormal data exists, judging whether the detection data of any one detection instrument and the detection data of all the detection instruments meet a preset second detection formula, wherein the second detection formula is a detection formula based on the standard deviation of the detection data of the detection instruments;
and if the detection data of any one detection instrument does not meet the second detection formula, displaying the detection data of a group of detection instruments which do not meet the second detection formula in a preset format.
6. The data comparison and automatic early warning method for the cigarette filter stick physical index detection instrument according to claim 5, characterized in that:
judging whether the detection data of any one detection instrument and the detection data of all the detection instruments meet a preset second detection formula or not comprises the following steps:
if the physical index is the first accuracy requirement, the second detection formula is as follows:
wherein, yiIs the average value of the detection data of a single detection instrument,
the average value of the detection data of all the detection instruments is s, the standard deviation of the detection data of all the detection instruments is s, and the number of the detection samples of a single detection instrument is n.
7. The data comparison and automatic early warning method for the cigarette filter stick physical index detection instrument according to claim 5, characterized in that:
judging whether the detection data of any one detection instrument and the detection data of all the detection instruments meet a preset second detection formula or not comprises the following steps:
if the physical index is the second precision requirement, the second detection formula is as follows:
wherein, yiIs the average value of the detection data of a single detection instrument,
the average value of the detection data of all the detection instruments is shown, s is the standard deviation of the detection data of all the detection instruments, n is the number of detection samples of a single detection instrument, and k is an expanded uncertainty factor obtained by checking a t distribution table with the degree of freedom v being n-1 and the confidence probability P being 95%.
8. The data comparison and automatic early warning method for the cigarette filter stick physical index detection instrument according to any one of claims 5 to 7, characterized in that:
the prompt information is used for prompting that a backup sample needs to be taken for re-measurement or whether the detection instrument is abnormal or not.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114459523A (en) * | 2021-12-10 | 2022-05-10 | 红云红河烟草(集团)有限责任公司 | Calibration early warning method for online quality detection instrument |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114459523A (en) * | 2021-12-10 | 2022-05-10 | 红云红河烟草(集团)有限责任公司 | Calibration early warning method for online quality detection instrument |
| CN114459523B (en) * | 2021-12-10 | 2024-04-30 | 红云红河烟草(集团)有限责任公司 | Calibration early warning method of online quality detection instrument |
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