CN-121981447-A - Tobacco auditing capability optimization method, device, equipment and computer program product

CN121981447ACN 121981447 ACN121981447 ACN 121981447ACN-121981447-A

Abstract

The invention discloses a tobacco inspection capability optimization method, device, equipment and computer program product, which comprise the steps of identifying region concentrated regions from which fake tobacco samples are obtained according to sample source region information of fake tobacco cases and counting and obtaining the total amount of the inspection cases, determining sample concentrated degree and training region coverage of each region and identifying regions uncovered by training, integrating fake tobacco case records and personnel training records to obtain a multi-region case library, determining fake identification key points of each region according to the multi-region case library, generating a cross-region communication learning plan according to a multi-region fake tobacco identification key point list and the region concentrated regions, arranging inspection personnel to participate in multi-region case training according to the cross-region communication learning plan, determining coverage improvement degree according to coverage records and fake tobacco case identification accuracy, and determining tobacco inspection capability improvement amplitude of the inspection personnel. The invention improves the cross-region identification capability of tobacco inspection personnel and can be applied to the technical field of enterprise management.

Inventors

ZHANG ZHENHUA
GUO LIANG
Peng Suyi

Assignees

广东烟草汕尾市有限公司

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (10)

1. The tobacco auditing capability optimizing method is characterized by comprising the following steps of: determining sample source region information of a fake cigarette case according to an inspection database, identifying region concentrated regions of fake cigarette sample sources according to the sample source region information, and counting the total quantity of the inspection cases of each region concentrated region; Determining the sample concentration degree of each region according to the region concentration region and the total amount of the check cases, determining the training region coverage according to personnel training records, and identifying the region uncovered by training according to the training region coverage and the sample concentration degree; extracting a fake cigarette case record of the training uncovered region from a cross-region sample library, and integrating the fake cigarette case record with the personnel training record to obtain a multi-region case library; Determining false identification points of each region according to the multi-region case library to obtain a multi-region false smoke identification point list; Generating a cross-regional communication learning plan according to the multi-regional fake cigarette identification key point list and the regional concentrated region, and arranging auditing personnel to participate in multi-regional case training according to the cross-regional communication learning plan; and determining checking coverage records and false cigarette case identification accuracy according to the checking database, determining coverage improvement degree according to the checking coverage records and the false cigarette case identification accuracy, and determining tobacco checking capability lifting amplitude of the checking personnel according to the coverage improvement degree.
2. The method for optimizing tobacco auditing capabilities according to claim 1, wherein the identifying a region-concentrated region from which a fake smoke sample originates according to the sample-derived region information and counting the total number of audit cases for each region-concentrated region specifically includes: performing region division on the fake cigarette case according to the sample source region information to obtain a region distribution list; Performing cluster analysis on the region distribution list according to provinces to obtain case quantity concentration degrees corresponding to each province, and determining the region concentration area according to the case quantity concentration degrees; and counting the number of the fake cigarette cases of each region in the region concentrated region according to the region distribution list to obtain the total quantity of the check cases.
3. The tobacco auditing capability optimization method according to claim 1, wherein the determining the sample concentration degree of each region according to the region concentration region and the total amount of the check cases, determining the training region coverage according to personnel training records, and identifying the training uncovered region according to the training region coverage and the sample concentration degree specifically comprises: Determining the sample concentration degree according to the ratio of the number of false smoke cases in each region in the region concentration region to the total quantity of the detection cases; determining a fake smoke sample source region contacted by the inspection personnel according to the personnel training records, and determining a training region coverage according to the fake smoke sample source region; And determining a region in the high-density sample set according to the sample set degree, and determining a region uncovered by the training according to the region in the high-density sample set and the training region coverage range.
4. The method for optimizing tobacco auditing capabilities according to claim 1, wherein the integrating the fake cigarette case records with the personnel training records to obtain a multi-region case library specifically comprises: Extracting corresponding fake making technical characteristics, packaging characteristics and anti-fake mark information according to the fake cigarette case records to obtain a fake cigarette characteristic data set of the training uncovered region; Determining a fake cigarette case database of the region covered by training according to the personnel training records; And updating the false smoke case database according to the false smoke characteristic data set to obtain the multi-region case library.
5. The method for optimizing tobacco auditing capabilities according to claim 1, wherein the determining the pseudo-making identification points of each region according to the multi-region case library, and obtaining a multi-region pseudo-tobacco identification point list specifically includes: Extracting the packaging mode characteristics, the cigarette appearance characteristics, the anti-counterfeiting mark characteristics and the sample region codes of each fake cigarette sample according to the multi-region case library; grouping the packaging mode features, the cigarette appearance features and the anti-counterfeiting mark features according to the sample region codes to obtain a pseudo-identification key point data set of each region; Calculating text similarity among the same category recognition points in the false recognition point data set through a cosine similarity algorithm, and performing duplicate removal processing on the false recognition point data set according to the text similarity; classifying and sorting the duplicate-removed fake-making identification key point data set according to three dimensions of a packaging mode, a cigarette appearance and an anti-counterfeiting mark to obtain fake-making identification key points of all regions; And generating the multi-region fake cigarette identification key point list according to the fake identification key points and the corresponding region codes.
6. The tobacco auditing capability optimization method according to claim 1, wherein the generating a cross-regional communication learning plan according to the multi-regional false smoke identification key point list and the regional concentrated region specifically includes: Determining a high concentrated area list according to the region concentrated area, and extracting the pseudo feature category number of each region according to the multi-region pseudo-smoke identification key point list and the high concentrated area list; according to the pseudo feature category quantity, region priority ranking is carried out, and a target training region is obtained; Determining a plurality of target training knowledge points and corresponding parameter training inspection personnel according to the false making identification key points of the target training region and the historical training histories of the inspection personnel; and generating the cross-region communication learning plan comprising a plurality of training occasions according to the target training region, the target training knowledge points and the reference and training inspector.
7. The tobacco auditing capability optimization method according to any one of claims 1 to 6, characterized in that the determining, from the auditing database, inspection coverage records and false smoke case recognition accuracy, determining a coverage improvement degree from the inspection coverage records and the false smoke case recognition accuracy, and determining a tobacco auditing capability improvement amplitude of the auditing personnel from the coverage improvement degree, specifically comprising: Determining the sample concentration degree of each region before and after training and the average sample concentration degree of all regions according to the auditing database; Determining inspection coverage labels of all regions according to the difference value between the sample concentration degree and the average sample concentration degree, and updating the inspection coverage records according to the inspection coverage labels; Determining the total number of covered regions according to the checking coverage records, counting the false cigarette case identification accuracy of the covered regions according to the checking database, and further determining the coverage improvement degree according to the total number of covered regions and the false cigarette case identification accuracy; And determining the tobacco auditing capability lifting amplitude of the auditing personnel according to the change of the coverage improvement degree before and after training.
8. A tobacco auditing capability optimization apparatus, comprising: The sample source identification module is used for determining sample source region information of the fake cigarette cases according to the inspection database, identifying region concentrated regions of fake cigarette sample sources according to the sample source region information, and counting the total quantity of the inspection cases of each region concentrated region; the training uncovered region identification module is used for determining the sample concentration degree of each region according to the region concentration region and the total amount of the check cases, determining the training region coverage according to personnel training records, and identifying the training uncovered region according to the training region coverage and the sample concentration degree; The multi-region case library generation module is used for extracting the fake cigarette case records of the training uncovered region from the cross-region sample library, and integrating the fake cigarette case records with the personnel training records to obtain a multi-region case library; the identification key point list generation module is used for determining the fake identification key points of each region according to the multi-region case library to obtain a multi-region fake cigarette identification key point list; The learning plan generation module is used for generating a cross-region communication learning plan according to the multi-region fake cigarette identification key point list and the region concentrated region, and arranging auditing personnel to participate in multi-region case training according to the cross-region communication learning plan; the tobacco auditing capability evaluation module is used for determining checking coverage records and false cigarette case identification accuracy according to the auditing database, determining coverage improvement degree according to the checking coverage records and the false cigarette case identification accuracy, and determining the tobacco auditing capability lifting amplitude of the auditing personnel according to the coverage improvement degree.
9. An electronic device, comprising: At least one processor; At least one memory for storing at least one program; When said at least one program is executed by said at least one processor, said at least one processor implements a tobacco auditing capability optimization method according to any of claims 1 to 7.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements a tobacco auditing capability optimization method according to any one of claims 1 to 7.

Description

Tobacco auditing capability optimization method, device, equipment and computer program product Technical Field The invention relates to the technical field of enterprise management, in particular to a tobacco auditing capability optimization method, device, equipment and computer program product. Background In the field of talent team construction and evaluation of enterprises, the research on how to improve the skill level and adaptability of professionals has important significance. This area is directly related to the core competitiveness of enterprises, and especially when complex business scenarios such as tobacco inspection are involved, professional judgment of talents often determines work efficiency. The talent team is optimized through a scientific method, so that the overall efficiency can be improved, and a firm guarantee can be provided for enterprises to cope with diversified challenges. However, many assessment and training methods rely too much on fixed cases or data accumulation, neglecting the variability of the business environment, resulting in limited improvement of enterprise personnel skills. Especially when facing the business scene with obvious regional difference, the existing mode often cannot help enterprise personnel to quickly adapt to the working demands under different environments, so that the comprehensive capacity of the whole team is affected. A further technical difficulty is how to balance the relationship between the number of sample accumulations and the breadth of the enterprise personnel identification. If the sample accumulation is too concentrated in a specific environment, the cognition and judgment of enterprise personnel are limited, and the new problems in other environments are difficult to deal with. Further, this limitation is exacerbated by the increasing number of samples, which creates a phenomenon of cognitive solidification that makes enterprise personnel react slowly or even misjudge when facing unfamiliar scenarios. In particular, in tobacco inspection work, if an inspector contacts a fake cigarette sample in a certain region for a long time, the inspector may have an impressive impression on fake cigarette making methods and characteristics in the region, but gradually lose sensitivity on fake cigarette characteristics in other regions. For example, a certain inspector accumulates a great deal of experience in a sample of a certain province, and is skilled in mastering the packaging details and manufacturing marks of local fake cigarettes, but when facing fake cigarettes from another province, the inspector cannot quickly distinguish true cigarettes from false cigarettes due to lack of relevant experience, and even misjudges true cigarettes as fake cigarettes. The cognitive limitation is continuously strengthened along with the increase of sample accumulation, and the comprehensiveness and accuracy of tobacco inspection work are seriously affected. Therefore, how to find a balance point between sample accumulation and recognition capability breadth, so as to ensure that personnel can keep high-efficiency judgment under different regions and scenes, and the method becomes a key problem for improving the construction effect of talent teams of enterprises. Disclosure of Invention The present invention aims to solve at least one of the technical problems existing in the prior art to a certain extent. Therefore, an object of the embodiments of the present invention is to provide a tobacco auditing capability optimization method, which improves the cross-regional recognition capability of tobacco auditing personnel, thereby improving the efficiency and reliability of tobacco auditing. Another object of an embodiment of the present invention is to provide a tobacco auditing capability optimization apparatus. In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the invention comprises the following steps: in one aspect, the embodiment of the invention provides a tobacco auditing capability optimization method, which comprises the following steps: determining sample source region information of a fake cigarette case according to an inspection database, identifying region concentrated regions of fake cigarette sample sources according to the sample source region information, and counting the total quantity of the inspection cases of each region concentrated region; Determining the sample concentration degree of each region according to the region concentration region and the total amount of the check cases, determining the training region coverage according to personnel training records, and identifying the region uncovered by training according to the training region coverage and the sample concentration degree; extracting a fake cigarette case record of the training uncovered region from a cross-region sample library, and integrating the fake cigarette case record with the personnel training record to obtain a multi-