CN112418647A - Product quality supervision system for leather processing - Google Patents
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- 239000010985 leather Substances 0.000 title claims abstract description 224
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- 238000000605 extraction Methods 0.000 claims description 12
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- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 3
- 101000713575 Homo sapiens Tubulin beta-3 chain Proteins 0.000 claims description 3
- 101000713585 Homo sapiens Tubulin beta-4A chain Proteins 0.000 claims description 3
- 241000366676 Justicia pectoralis Species 0.000 claims description 3
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Abstract
The invention discloses a product quality supervision system for leather processing, which comprises a random sampling unit, an association collecting unit, a production target unit, a quality inspection module, a data capturing unit, a management unit, a core processing unit, a display unit, a storage unit and a suggestion self-generating unit, wherein the random sampling unit is used for sampling and collecting the production target; marking a leather processing unit by a production marking unit to obtain a leather processing unit mark Gi; then, performing relevant data collection on the leather processing units Gi by using a relevant collection unit to obtain single leather workload Pi corresponding to all the leather processing units Gi; and then the random sampling unit receives the leather processing unit Gi transmitted by the association collection unit and the single leather workload Pi corresponding to the leather processing unit Gi, and performs a random sampling step on the leather processing unit Gi and the single leather workload Pi to obtain a sampling inspection group.
Description
Technical Field
The invention belongs to the field of leather processing quality supervision, relates to a leather quality supervision technology, and particularly relates to a product quality supervision system for leather processing.
Background
Publication No. CN102725627A discloses an inspection device (10) for determining the quality of leather (9) during leather production, wherein the inspection device (10) is designed for inspecting the quality grade of the leather (9) and for providing a quality value indicating the quality grade of the leather (9), the inspection device (10) has a transmission means (16) for inspecting the uniformity of the leather (9), at least partial regions (22,23,24,27,29) of the leather (9) are transmittable by means of the transmission means (16) and the transmission means (16) are designed for providing transmission data (D) to an analysis means (19), and the analysis means (19) is designed for comparing the transmission data (D) with characteristic data typical of skin damage or non-uniformity in the leather (9) and for providing the inspected partial regions (22,23,24,27,29) and the display means (20) are configured for displaying the classified skin damage or quality value of the leather (9), preferably in each partial area (22,23,24,27,29) of the leather (9).
In the prior art, a plurality of devices or devices for inspecting the quality of leather after processing exist, however, the devices basically inspect the quality of the leather, do not perform relevant analysis on the data behind the leather after the inspection is finished, acquire the leather according to a reasonable and scientific mode for testing, reasonably analyze the data after testing, judge the problem of a leather processing production line and give suggestions in a targeted manner; to remedy this technical drawback, a solution is now provided.
Disclosure of Invention
The invention aims to provide a product quality supervision system for leather processing.
The purpose of the invention can be realized by the following technical scheme:
a product quality supervision system for leather processing comprises a random sampling unit, an association collection unit, a production target unit, a quality inspection module, a data grabbing unit, a management unit, a core processing unit, a display unit, a storage unit and a suggestion self-generation unit;
the production target unit is used for marking a leather processing unit, and the leather processing unit is specifically an independent unit responsible for processing leather; the production target unit is used for marking all leather processing units as Gi, i-1.. n;
the production target unit is used for transmitting the leather processing units Gi to the association collection unit, and the association collection unit is used for carrying out association data collection on the leather processing units Gi to obtain single leather workload Pi corresponding to all the leather processing units Gi;
the random sampling unit receives the leather processing units Gi transmitted by the association collection unit and the single leather workload Pi corresponding to the leather processing units Gi, and performs a random extraction step on the leather processing units Gi to obtain a sampling inspection group;
the quality inspection module is used for performing quality inspection on the sampling inspection group and obtaining the corresponding defective product rates Hi of all leather processing units Gi, wherein the i is 1. The defective rate Hi refers to the ratio of the total quantity of the selected leather samples of all spot checks of the corresponding leather processing unit Gi when the corresponding leather processing unit Gi is subjected to single-day inspection; the quality inspection module is used for transmitting the leather processing unit Gi and the defective rate Hi thereof to the data grabbing unit;
the data grabbing unit is used for grabbing and analyzing the leather processing units Gi and the defective product rate Hi thereof to obtain the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi;
the data grabbing unit is used for transmitting the day loss ratio Tbi and the average area defective product value Ri corresponding to the leather processing unit Gi to the core processing unit; the core processing unit receives the day loss ratio Tbi and the average area defective value Ri corresponding to the leather processing unit Gi transmitted by the data grabbing unit and transmits the day loss ratio Tbi and the average area defective value Ri to the suggestion self-generating unit, the suggestion self-generating unit is used for carrying out suggestion analysis on the day loss ratio Tbi and the average area defective value Ri corresponding to the leather processing unit Gi, and the concrete suggestion analysis process is as follows:
SS 01: marking the corresponding leather processing unit Gi with the loss per day Tbi exceeding X2 as a unit needing improvement; wherein X2 is a predetermined number;
SS 02: then obtaining all average area bad product values Ri;
SS 03: obtaining an average value Pp of the defective product values Ri of the average area;
SS 04: screening out the difference units by using a screening formula, namely all the leather processing units Gi meeting the screening formula are the difference units; the specific screening formula is as follows:
Ri-Pp≥X3；
wherein X3 is a predetermined value;
SS 05: marking the leather processing unit Gi which is in the difference unit and the unit to be improved at the same time as the reforming unit;
the suggestion self-generating unit is used for returning the difference unit, the unit needing improvement and the reforming unit to the core processing unit, and the core processing unit is used for transmitting the difference unit, the unit needing improvement and the reforming unit to the display unit;
when the display unit receives the difference unit transmitted by the core processing unit, the display unit automatically displays the current unit plus the difference unit, and the character eyes need to be verified compared with other groups if the difference is obvious;
when the display unit receives the units needing to be improved and transmitted by the core processing unit, the display unit automatically displays the current unit plus the unit needing to be improved, and the error frequency is high in the defective product rate inspection process, so that the careful inspection of production line processes and personnel is recommended;
when the display unit receives the reforming unit transmitted by the core processing unit, automatically displaying that the current unit plus the reforming unit has high error frequency and a larger difference compared with other groups, and the whole production line is recommended to be re-planned;
the management unit is in communication connection with the core processing unit.
Further, the specific collecting process of the associated data collection is as follows:
the method comprises the following steps: acquiring all leather processing units Gi;
step two: acquiring the leather processing quantity corresponding to each leather processing unit Gi per day, and marking the leather processing quantity as the single leather workload; the specific determination mode of the single leather workload is as follows:
s1: firstly, setting i to 1 to obtain a corresponding leather processing unit G1;
s2: acquiring the single-day processing amount of the fresh-cut fresh;
s3: then, calculating the average value of the workload Dj on a single day, and marking the average value as the average value of the single day;
s4: acquiring a maximum value in the Dj, marking the maximum value as an apparent value, and marking a range from the single-day average value to the apparent value as an initial selection range;
s5: from the single day average value, marking each increased X1 numerical values as a value interval until the value interval reaches the apparent value to obtain a plurality of value intervals;
s6: marking the last interval containing the apparent value as an interval to be checked;
s7: automatically acquiring the number of the single-day workload Dj falling into each value interval;
s8: automatically dividing the number of the numerical values in the region to be checked by the number of all numerical values from the single-day average value to the apparent value to obtain the ratio of the number of the numerical values to be checked, and marking the ratio as Zd;
s9: calculating the single leather workload according to a formula, wherein the specific calculation formula is as follows:
the single leather workload is Zd, apparent value + value interval (1-Zd);
s10: obtaining the single leather workload;
s11: repeating the steps S1-S11 by making i equal to i +1 to obtain the single leather workload of all leather processing units Gi, and marking the single leather workload as Pi, i equal to 1.. n; n is a positive integer, and Pi and Gi correspond to each other one by one;
step three: and obtaining the single leather workload Pi corresponding to all the leather processing units Gi.
Further, the random extraction step is specifically as follows:
s001: acquiring a leather processing unit Gi and a single leather workload Pi corresponding to the leather processing unit Gi;
s002: acquiring a sampling proportion By built in a random sampling unit; determining the sampling quantity Li of each leather processing unit Gi according to the single leather workload Pi, wherein i is 1.
Li＝Pi*By；
S003: then obtaining the working time corresponding to a leather processing unit Gi, dividing Li by the working time, wherein the working time unit is measured in hours, obtaining an integer value by rounding the obtained quotient, and marking the integer value as a single-time extraction quantity;
s004: according to the single-time extraction amount, randomly obtaining a corresponding number of selected leather samples in each unit time, wherein the selected leather samples are provided with corresponding leather processing unit identifications for identifying the corresponding processing units; all the obtained sampling inspection groups are processed;
s005: and (4) giving the sampling inspection group to a quality inspection module for quality inspection.
Further, the grasping analysis comprises the following specific steps:
SS 1: acquiring all leather processing units Gi and the defective rate Hi thereof;
SS 2: starting from the initial time, the initial time refers to the initial operation of the system, continuously grabbing the defective rate which is pushed forward for m days from the current time, wherein m is a preset value and can be taken as 30 days; obtaining the interval defective rate Hij, i is 1.. n, j is 1.. m of all leather processing units Gi; wherein Hij represents the defective rate of the leather processing unit Gi on the j th day;
SS 3: selecting a corresponding interval defective rate H1j when i is equal to 1;
SS 4: calculating the average value to obtain an average zone defective product value R1;
SS 5: then comparing all the interval defective rate H1j with a preset reference value X1, and selecting the defective rate lower than X1;
SS 6: dividing the selected interval defective rate H1j by m to obtain a day loss ratio Tb 1;
SS 7: repeating steps SS3-SS6 when i is equal to i + 1;
SS 8: repeating step SS7 until i ═ n; and obtaining the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi.
Further, the core processing unit is used for transmitting the difference unit, the unit needing improvement and the reforming unit to the storage unit, the storage unit receives the difference unit, the unit needing improvement and the reforming unit transmitted by the core processing unit and stamps the difference unit, the unit needing improvement and the reforming unit with time to form the check record, and the storage unit is used for storing the check record.
Further, the management unit is used for recording all preset values X1, X2, X3 and m.
The invention has the beneficial effects that:
marking a leather processing unit by a production marking unit to obtain a leather processing unit mark Gi; then, performing relevant data collection on the leather processing units Gi by using a relevant collection unit to obtain single leather workload Pi corresponding to all the leather processing units Gi; then the random sampling unit receives the leather processing unit Gi transmitted by the association collecting unit and the corresponding single leather workload Pi, and carries out a random sampling step on the leather processing unit Gi and the single leather workload Pi to obtain a sampling inspection group;
performing quality inspection on the sampling inspection group by using the existing quality inspection module to obtain the corresponding defective rate Hi of all leather processing units Gi; then the data grabbing unit is used for grabbing and analyzing the leather processing units Gi and the defective product rate Hi thereof to obtain the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi; finally, a suggestion self-generating unit is used for carrying out suggestion analysis on the day loss ratio Tbi and the average area defective product value Ri corresponding to the leather processing unit Gi to give out corresponding suggestions;
the invention can well perform corresponding analysis on the data after quality inspection, and feed back the data to the problems of the production line according to the analysis result, thereby comprehensively considering the problems; the invention is simple, effective and easy to use.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a product quality supervision system for leather processing comprises a random sampling unit, an association collection unit, a production target unit, a quality inspection module, a data capture unit, a management unit, a core processing unit, a display unit, a storage unit and a suggestion self-generation unit;
the production target unit is used for marking a leather processing unit, the leather processing unit is a single unit responsible for processing leather, and the production target unit can be any single processing production line or a single production staff; the production target unit is used for marking all leather processing units as Gi, i-1.. n;
the production target unit is used for transmitting the leather processing unit Gi to the association collection unit, the association collection unit is used for carrying out association data collection on the leather processing unit Gi, and the concrete collection process is as follows:
the method comprises the following steps: acquiring all leather processing units Gi;
step two: acquiring the leather processing quantity corresponding to each leather processing unit Gi per day, and marking the leather processing quantity as a single leather workload, wherein the specific determination mode of the single leather workload is as follows:
s1: firstly, setting i to 1 to obtain a corresponding leather processing unit G1;
s2: acquiring the single-day processing amount of the fresh-cut fresh;
s3: then, calculating the average value of the workload Dj on a single day, and marking the average value as the average value of the single day;
s4: acquiring a maximum value in the Dj, marking the maximum value as an apparent value, and marking a range from the single-day average value to the apparent value as an initial selection range;
s5: from the single day average value, marking each increased X1 numerical values as a value interval until the value interval reaches the apparent value to obtain a plurality of value intervals;
s6: marking the last interval containing the apparent value as an interval to be checked;
s7: automatically acquiring the number of the single-day workload Dj falling into each value interval;
s8: automatically dividing the number of the numerical values in the region to be checked by the number of all numerical values from the single-day average value to the apparent value to obtain the ratio of the number of the numerical values to be checked, and marking the ratio as Zd;
s9: calculating the single leather workload according to a formula, wherein the specific calculation formula is as follows:
the single leather workload is Zd, apparent value + value interval (1-Zd);
s10: obtaining the single leather workload;
s11: repeating the steps S1-S11 by making i equal to i +1 to obtain the single leather workload of all leather processing units Gi, and marking the single leather workload as Pi, i equal to 1.. n; n is a positive integer, and Pi and Gi correspond to each other one by one;
step three: obtaining single leather workload Pi corresponding to all leather processing units Gi;
the association collection unit is used for transmitting all the leather processing units Gi and the single leather workload Pi corresponding to the leather processing units Gi to the random sampling unit, the random sampling unit receives the leather processing units Gi and the single leather workload Pi corresponding to the leather processing units Gi transmitted by the association collection unit and carries out a random extraction step on the leather processing units Gi and the single leather workload Pi corresponding to the leather processing units Gi, and the random extraction step is specifically as follows:
s001: acquiring a leather processing unit Gi and a single leather workload Pi corresponding to the leather processing unit Gi;
s002: acquiring a sampling proportion By built in a random sampling unit; determining the sampling quantity Li of each leather processing unit Gi according to the single leather workload Pi, wherein i is 1.
Li＝Pi*By；
S003: then obtaining the working time corresponding to a leather processing unit Gi, dividing Li by the working time, wherein the working time unit is measured in hours, obtaining an integer value by rounding the obtained quotient, and marking the integer value as a single-time extraction quantity;
s004: according to the single-time extraction amount, randomly obtaining a corresponding number of selected leather samples in each unit time, wherein the selected leather samples are provided with corresponding leather processing unit identifications for identifying the corresponding processing units; all the obtained sampling inspection groups are processed;
s005: the sampling inspection group is sent to a quality inspection module for quality inspection;
the quality inspection module is used for performing quality inspection on the sampling inspection group and obtaining the corresponding defective products Hi of all leather processing units Gi, wherein the i is 1.. n, and Hi corresponds to Gi one by one, and the quality inspection module performs product quality inspection on leather by using the prior art; the defective rate Hi refers to the ratio of the total quantity of the selected leather samples of all spot checks of the corresponding leather processing unit Gi when the corresponding leather processing unit Gi is subjected to single-day inspection; the quality inspection module is used for transmitting the leather processing unit Gi and the defective rate Hi thereof to the data grabbing unit;
the data grabbing unit is used for grabbing and analyzing a leather processing unit Gi and a defective product rate Hi thereof, and the specific grabbing and analyzing steps are as follows:
SS 1: acquiring all leather processing units Gi and the defective rate Hi thereof;
SS 2: starting from the initial time, the initial time refers to the initial operation of the system, continuously grabbing the defective rate which is pushed forward for m days from the current time, wherein m is a preset value and can be taken as 30 days; obtaining the interval defective rate Hij, i is 1.. n, j is 1.. m of all leather processing units Gi; wherein Hij represents the defective rate of the leather processing unit Gi on the j th day;
SS 3: selecting a corresponding interval defective rate H1j when i is equal to 1;
SS 4: calculating the average value to obtain an average zone defective product value R1;
SS 5: then comparing all the interval defective rate H1j with a preset reference value X1, and selecting the defective rate lower than X1;
SS 6: dividing the selected interval defective rate H1j by m to obtain a day loss ratio Tb 1;
SS 7: repeating steps SS3-SS6 when i is equal to i + 1;
SS 8: repeating step SS7 until i ═ n; obtaining the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi;
the data grabbing unit is used for transmitting the day loss ratio Tbi and the average area defective product value Ri corresponding to the leather processing unit Gi to the core processing unit; the core processing unit receives the day loss ratio Tbi and the average area defective value Ri corresponding to the leather processing unit Gi transmitted by the data grabbing unit and transmits the day loss ratio Tbi and the average area defective value Ri to the suggestion self-generating unit, the suggestion self-generating unit is used for carrying out suggestion analysis on the day loss ratio Tbi and the average area defective value Ri corresponding to the leather processing unit Gi, and the concrete suggestion analysis process is as follows:
SS 01: marking the corresponding leather processing unit Gi with the loss per day Tbi exceeding X2 as a unit needing improvement; wherein X2 is a predetermined number;
SS 02: then obtaining all average area bad product values Ri;
SS 03: obtaining an average value Pp of the defective product values Ri of the average area;
SS 04: screening out the difference units by using a screening formula, namely all the leather processing units Gi meeting the screening formula are the difference units; the specific screening formula is as follows:
Ri-Pp≥X3；
wherein X3 is a predetermined value;
SS 05: marking the leather processing unit Gi which is in the difference unit and the unit to be improved at the same time as the reforming unit;
the suggestion self-generating unit is used for returning the difference unit, the unit needing improvement and the reforming unit to the core processing unit, and the core processing unit is used for transmitting the difference unit, the unit needing improvement and the reforming unit to the display unit;
when the display unit receives the difference unit transmitted by the core processing unit, the display unit automatically displays the current unit plus the difference unit, and the character eyes need to be verified compared with other groups if the difference is obvious;
when the display unit receives the units needing to be improved and transmitted by the core processing unit, the display unit automatically displays the current unit plus the unit needing to be improved, and the error frequency is high in the defective product rate inspection process, so that the careful inspection of production line processes and personnel is recommended;
when the display unit receives the reforming unit transmitted by the core processing unit, automatically displaying that the current unit plus the reforming unit has high error frequency and a larger difference compared with other groups, and the whole production line is recommended to be re-planned;
the core processing unit is used for transmitting the difference unit, the unit needing improvement and the reforming unit to the storage unit, the storage unit receives the difference unit, the unit needing improvement and the reforming unit transmitted by the core processing unit and stamps the difference unit, the unit needing improvement and the reforming unit with time to form a check record, and the storage unit is used for storing the check record.
The management unit is in communication connection with the core processing unit; the management unit is used for recording all preset values X1, X2, X3 and m.
A product quality supervision system for leather processing is characterized in that when the system works, firstly, a leather processing unit is marked through a production marking unit to obtain a leather processing unit mark Gi; then, performing relevant data collection on the leather processing units Gi by using a relevant collection unit to obtain single leather workload Pi corresponding to all the leather processing units Gi; then the random sampling unit receives the leather processing unit Gi transmitted by the association collecting unit and the corresponding single leather workload Pi, and carries out a random sampling step on the leather processing unit Gi and the single leather workload Pi to obtain a sampling inspection group;
performing quality inspection on the sampling inspection group by using the existing quality inspection module to obtain the corresponding defective rate Hi of all leather processing units Gi; then the data grabbing unit is used for grabbing and analyzing the leather processing units Gi and the defective product rate Hi thereof to obtain the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi; finally, a suggestion self-generating unit is used for carrying out suggestion analysis on the day loss ratio Tbi and the average area defective product value Ri corresponding to the leather processing unit Gi to give out corresponding suggestions;
the invention can well perform corresponding analysis on the data after quality inspection, and feed back the data to the problems of the production line according to the analysis result, thereby comprehensively considering the problems; the invention is simple, effective and easy to use.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. A product quality supervision system for leather processing is characterized by comprising a random sampling unit, an association collecting unit, a production target unit, a quality inspection module, a data capturing unit, a management unit, a core processing unit, a display unit, a storage unit and a suggestion self-generating unit;
the production target unit is used for marking a leather processing unit, and the leather processing unit is specifically an independent unit responsible for processing leather; the production target unit is used for marking all leather processing units as Gi, i-1.. n;
the production target unit is used for transmitting the leather processing units Gi to the association collection unit, and the association collection unit is used for carrying out association data collection on the leather processing units Gi to obtain single leather workload Pi corresponding to all the leather processing units Gi;
the random sampling unit receives the leather processing units Gi transmitted by the association collection unit and the single leather workload Pi corresponding to the leather processing units Gi, and performs a random extraction step on the leather processing units Gi to obtain a sampling inspection group;
the quality inspection module is used for performing quality inspection on the sampling inspection group and obtaining the corresponding defective product rates Hi of all leather processing units Gi, wherein the i is 1. The defective rate Hi refers to the ratio of the total quantity of the selected leather samples of all spot checks of the corresponding leather processing unit Gi when the corresponding leather processing unit Gi is subjected to single-day inspection; the quality inspection module is used for transmitting the leather processing unit Gi and the defective rate Hi thereof to the data grabbing unit;
the data grabbing unit is used for grabbing and analyzing the leather processing units Gi and the defective product rate Hi thereof to obtain the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi;
the data grabbing unit is used for transmitting the day loss ratio Tbi and the average area defective product value Ri corresponding to the leather processing unit Gi to the core processing unit; the core processing unit receives the day loss ratio Tbi and the average area defective value Ri corresponding to the leather processing unit Gi transmitted by the data grabbing unit and transmits the day loss ratio Tbi and the average area defective value Ri to the suggestion self-generating unit, the suggestion self-generating unit is used for carrying out suggestion analysis on the day loss ratio Tbi and the average area defective value Ri corresponding to the leather processing unit Gi, and the concrete suggestion analysis process is as follows:
SS 01: marking the corresponding leather processing unit Gi with the loss per day Tbi exceeding X2 as a unit needing improvement; wherein X2 is a predetermined number;
SS 02: then obtaining all average area bad product values Ri;
SS 03: obtaining an average value Pp of the defective product values Ri of the average area;
SS 04: screening out the difference units by using a screening formula, namely all the leather processing units Gi meeting the screening formula are the difference units; the specific screening formula is as follows:
Ri-Pp≥X3；
wherein X3 is a predetermined value;
SS 05: marking the leather processing unit Gi which is in the difference unit and the unit to be improved at the same time as the reforming unit;
the suggestion self-generating unit is used for returning the difference unit, the unit needing improvement and the reforming unit to the core processing unit, and the core processing unit is used for transmitting the difference unit, the unit needing improvement and the reforming unit to the display unit;
when the display unit receives the difference unit transmitted by the core processing unit, the display unit automatically displays the current unit plus the difference unit, and the character eyes need to be verified compared with other groups if the difference is obvious;
when the display unit receives the units needing to be improved and transmitted by the core processing unit, the display unit automatically displays the current unit plus the unit needing to be improved, and the error frequency is high in the defective product rate inspection process, so that the careful inspection of production line processes and personnel is recommended;
when the display unit receives the reforming unit transmitted by the core processing unit, automatically displaying that the current unit plus the reforming unit has high error frequency and a larger difference compared with other groups, and the whole production line is recommended to be re-planned;
the management unit is in communication connection with the core processing unit.
2. The system of claim 1, wherein the specific collection process associated with data collection is:
the method comprises the following steps: acquiring all leather processing units Gi;
step two: acquiring the leather processing quantity corresponding to each leather processing unit Gi per day, and marking the leather processing quantity as the single leather workload; the specific determination mode of the single leather workload is as follows:
s1: firstly, setting i to 1 to obtain a corresponding leather processing unit G1;
s2: acquiring the single-day processing amount of the fresh-cut fresh;
s3: then, calculating the average value of the workload Dj on a single day, and marking the average value as the average value of the single day;
s4: acquiring a maximum value in the Dj, marking the maximum value as an apparent value, and marking a range from the single-day average value to the apparent value as an initial selection range;
s5: from the single day average value, marking each increased X1 numerical values as a value interval until the value interval reaches the apparent value to obtain a plurality of value intervals;
s6: marking the last interval containing the apparent value as an interval to be checked;
s7: automatically acquiring the number of the single-day workload Dj falling into each value interval;
s8: automatically dividing the number of the numerical values in the region to be checked by the number of all numerical values from the single-day average value to the apparent value to obtain the ratio of the number of the numerical values to be checked, and marking the ratio as Zd;
s9: calculating the single leather workload according to a formula, wherein the specific calculation formula is as follows:
the single leather workload is Zd, apparent value + value interval (1-Zd);
s10: obtaining the single leather workload;
s11: repeating the steps S1-S11 by making i equal to i +1 to obtain the single leather workload of all leather processing units Gi, and marking the single leather workload as Pi, i equal to 1.. n; n is a positive integer, and Pi and Gi correspond to each other one by one;
step three: and obtaining the single leather workload Pi corresponding to all the leather processing units Gi.
3. The system of claim 1, wherein the random extraction step is specifically as follows:
s001: acquiring a leather processing unit Gi and a single leather workload Pi corresponding to the leather processing unit Gi;
s002: acquiring a sampling proportion By built in a random sampling unit; determining the sampling quantity Li of each leather processing unit Gi according to the single leather workload Pi, wherein i is 1.
Li＝Pi*By；
S003: then obtaining the working time corresponding to a leather processing unit Gi, dividing Li by the working time, wherein the working time unit is measured in hours, obtaining an integer value by rounding the obtained quotient, and marking the integer value as a single-time extraction quantity;
s004: according to the single-time extraction amount, randomly obtaining a corresponding number of selected leather samples in each unit time, wherein the selected leather samples are provided with corresponding leather processing unit identifications for identifying the corresponding processing units; all the obtained sampling inspection groups are processed;
s005: and (4) giving the sampling inspection group to a quality inspection module for quality inspection.
4. The system of claim 1, wherein the capturing analysis comprises the steps of:
SS 1: acquiring all leather processing units Gi and the defective rate Hi thereof;
SS 2: starting from the initial time, wherein the initial time refers to the initial operation of the system, continuously grabbing the defective rate which is pushed forward for m days from the current time, and m is a preset value; obtaining the interval defective rate Hij, i is 1.. n, j is 1.. m of all leather processing units Gi; wherein Hij represents the defective rate of the leather processing unit Gi on the j th day;
SS 3: selecting a corresponding interval defective rate H1j when i is equal to 1;
SS 4: calculating the average value to obtain an average zone defective product value R1;
SS 5: then comparing all the interval defective rate H1j with a preset reference value X1, and selecting the defective rate lower than X1;
SS 6: dividing the selected interval defective rate H1j by m to obtain a day loss ratio Tb 1;
SS 7: repeating steps SS3-SS6 when i is equal to i + 1;
SS 8: repeating step SS7 until i ═ n; and obtaining the day loss ratio Tbi and the average area defective product value Ri corresponding to all the leather processing units Gi.
5. The system of claim 1, wherein the core processing unit is configured to transmit the difference unit, the improvement unit, and the reformation unit to the storage unit, the storage unit receives and time stamps the difference unit, the improvement unit, and the reformation unit transmitted by the core processing unit to form the inspection record, and the storage unit is configured to store the inspection record.
6. The leather processing product quality supervision system according to claim 1, wherein the management unit is adapted to log all preset values X1, X2, X3 and m.
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