A project audit management method and system based on certification

Abstract

The present invention discloses a project review management method and system based on certification, which belongs to the field of data processing technology. The method matches project application materials with project review experts, thereby ensuring that the project application materials can be reviewed by review experts with rich experience in reviewing similar materials, thereby ensuring the professionalism of the material review. In addition, when matching, considering fairness and justice, the review experts who have frequent contact with the corresponding reporting enterprises are screened out as much as possible, thereby avoiding the problem of unfair review results due to the subjective influence of the review experts due to interest factors. In addition, the present invention can also reduce the influence of the subjective factors of the review experts on the review results during the project review process, and can reasonably arrange the review work according to the review work bearing capacity of each expert, avoiding some experts from receiving a large number of review invitations beyond their energy, so that the matching results are more reasonable.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and specifically relates to a project review management method and system based on certification. Background Art

[0002] Project application refers to a series of preferential policies made by government agencies for enterprises or other research units. Enterprises or related research units then prepare application documents based on government policies and then apply according to relevant application requirements and procedures. Project application itself is an application for various supports provided by the government to promote the healthy and stable development of enterprises. Enterprises need to prepare project application forms and other related materials according to their own conditions and needs. Then, the project materials submitted by the enterprise will be reviewed by review experts and the review results will be made public.

[0003] In the prior art, when assigning audit experts to audit project materials to be audited, they are usually randomly assigned based on the audit experts' free time, which results in the audit results of the project materials after matching being greatly affected by factors such as the professionalism and subjectivity of the audit experts. In order to solve the above problems, a project audit management method is provided that can improve the fairness, impartiality and professionalism of project audits. The present invention provides the following technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide a project audit management method and system based on certification, so as to solve the problem in the prior art that the project audit has a large randomness when assigning audit experts, resulting in the audit results being greatly affected by the professionalism and subjectivity of the audit experts.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A certification-based project audit management approach, including:

[0007] Stp1. The enterprise submits the project application materials;

[0008] Stp2. Obtain the certification scores of each audit expert for each certification project, and based on this, obtain the average Dp of the certification scores of each audit expert for each certification project in the past period of time;

[0009] Get the average certification score Dp of each audit expert for the same certification project in the past period of time, and mark these m average certification scores as Dpi, 1≤i≤m and i is an integer, and m is the number of audit experts;

[0010] Calculate and obtain the typical value Dpp of the corresponding m authentication score average values ​​Dpi;

[0011] Then, the certification deviation θ of each audit expert for the corresponding certification project is calculated according to the formula θ = |Dpi-Dpp| / Dpp;

[0012] Calculate the certification deviation θ of an audit expert for all certification items in sequence, and mark the corresponding n certification deviations θ as θj, where 1≤j≤n is an integer, and n is the number of certification items;

[0013] According to the formula The sum is θz;

[0014] Stp3. Screen the audit experts in the order of θz from small to large to obtain the final audit experts.

[0015] Furthermore, before performing Stp2, the following steps are performed:

[0016] S1. Obtain the first keyword group corresponding to the project application materials;

[0017] S2, obtaining the second keyword group corresponding to each review expert;

[0018] Compare and obtain the similarity between the first keyword group and the second keyword group, and mark the similarity as the correlation X1 between the to-be-processed project and the corresponding review expert;

[0019] S3, sequentially calculating the correlation X1 between the pending project and each audit expert; calculating the connection coefficient X2 between the enterprise corresponding to the pending project and each audit expert;

[0020] According to the formula β=X1 Xy-X2 Calculate the audit coefficient β of each audit expert for the corresponding project to be processed;

[0021] Where Xy is a preset value, and when X2 ≥ Xy-1, Xy-X2 takes the value of 1;

[0022] A preset number of audit experts are determined in descending order according to the corresponding audit coefficients β to proceed to the subsequent steps.

[0023] Furthermore, the method for obtaining the second keyword group includes the following steps:

[0024] Obtain the first keyword group corresponding to all project application materials reviewed by the review experts within the past preset time;

[0025] All the corresponding keywords in the first keyword group and the frequency of occurrence of each keyword are obtained, and a required number of keywords are selected from each keyword in descending order of frequency of occurrence as keywords in the second keyword group.

[0026] Furthermore, the calculation method of the contact coefficient X2 between the enterprise corresponding to the project to be processed and the audit expert is:

[0027] Mark the enterprise corresponding to the pending project as the central enterprise;

[0028] Get the number of times c1 that the corresponding audit expert audit center enterprise has applied for the project; get the number of times c2 that the corresponding audit expert audit center enterprise has the corresponding region-related enterprises; get the number of times c3 that the corresponding audit expert audit center enterprise has the corresponding process-related enterprises;

[0029] The connection coefficient X2 between the central enterprise and the audit expert is calculated according to the formula X2 = α1*c1+α2*c2+α3*c3;

[0030] Among them, α1, α2, and α3 are all preset coefficients, and α1+α2+α3=1.

[0031] Regionally related enterprises are enterprises located in the same industrial park as the central enterprise;

[0032] Process-related enterprises are enterprises that are in the same supply chain as the central enterprise and have a direct supply and marketing relationship with the central enterprise.

[0033] Furthermore, when matching the audit experts with the project audit materials of the pending projects, the following steps are also included:

[0034] After obtaining the final audit expert, obtain the number of project audits a completed by each corresponding audit expert in the past T1 time;

[0035] Obtain the number of project audits canceled by each audit expert in the past T1 time a1; T1 is a preset value; calculate the audit ratio γ corresponding to each audit expert, γ = a / (a+a1);

[0036] Further obtain the audit ratio γ of each audit expert in the past T2 time, where T2 is a preset time value less than T1;

[0037] The final review experts are further screened in the order of γ-γ1 from large to small, a preset number of review experts are obtained, and review invitation information is sent to these review experts through the project application platform.

[0038] The present invention also discloses a project review management system based on certification, which includes:

[0039] Project application platform, through which users submit project application materials;

[0040] The submitted project application materials are transmitted to the storage device for storage;

[0041] A keyword extraction unit is used to obtain keyword groups in the project application materials submitted by the enterprise;

[0042] A memory device for storing historical project declaration information;

[0043] Expert database, used to store audit expert information;

[0044] The matching unit is used to match the project application materials submitted by enterprise users with the review experts.

[0045] Beneficial effects of the present invention:

[0046] 1. The present invention matches the project application materials with the project review experts, thereby ensuring that the project application materials can be reviewed by the review experts who have rich experience in reviewing similar materials, thereby ensuring the professionalism of the material review. In addition, when matching, considering fairness and justice, the review experts who have frequent contact with the corresponding applicant enterprises are screened out as much as possible, thereby avoiding the problem of unfair review results due to the subjective influence of the review experts due to interest factors, etc.

[0047] 2. The present invention analyzes the historical audit records of the audit experts to obtain the deviation of a corresponding audit expert compared with other experts when auditing and evaluating different certification projects, and on this basis obtains the overall deviation of an audit expert compared with other experts in project certification auditing. In the present invention, this overall deviation is regarded as the deviation caused by the personal subjective factors of the audit experts. This subjective factor is not conducive to the fairness and justice of the project audit. Therefore, the present invention calculates the corresponding θz value of each audit expert in the past period of time, and uses this as a standard for the final screening of the audit experts in the subsequent task matching process, thereby reducing the impact of the subjective factors of the audit experts on the audit results during the project audit process.

[0048] 3. The present invention can reasonably arrange the audit work according to the audit work bearing capacity of each expert, avoid some experts from receiving a large number of audit invitations beyond their capacity, and make the matching results more reasonable. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 It is a schematic diagram of the framework structure of a project audit management system based on certification in the present invention.

[0051] Figure 2 It is a flow chart of a project review management method based on certification of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Example 1

[0054] A certification-based project audit management system, such as Figure 1 As shown, including:

[0055] Project application platform: After enterprise users log in to the project application platform with their account and password, they complete the submission of project application materials on the project application platform;

[0056] The submitted project application materials are transmitted to the storage device for storage;

[0057] A keyword extraction unit is used to extract keywords from the project application materials submitted by the enterprise, so as to obtain keyword groups corresponding to each project application material;

[0058] A memory device for storing historical project declaration information;

[0059] Historical project application information includes project application materials, the enterprise corresponding to the project application materials, the review experts corresponding to the project application materials, and the review time corresponding to the project application materials;

[0060] Expert database, used to store audit expert information and save audit expert audit records;

[0061] The audit record refers to the project application materials reviewed by the audit experts and the time when the audit experts perform the audit tasks;

[0062] The matching unit is used to match the project application materials submitted by enterprise users with the review experts.

[0063] Example 2

[0064] A project audit management method, which is based on the above-mentioned project audit management system. Figure 2 Specifically, the method comprises the following steps:

[0065] Stp1. After completing the project application materials, the enterprise logs into the enterprise account of the project application platform and submits the completed project application materials;

[0066] First, classify the project application materials submitted by the enterprise according to the project category and technical field to which they belong;

[0067] Then, the keywords of the project application materials are extracted by a keyword extraction unit to obtain keyword groups corresponding to the project application materials;

[0068] Extracting keywords from a document is a technique disclosed in the prior art, and therefore no specific limitation is made in this embodiment. Those skilled in the art may select a suitable method to extract keywords from a document as needed.

[0069] Stp2. Obtain the keyword groups and review experts corresponding to the project application materials submitted by the enterprise within a certain period of time in the past;

[0070] Stp3, obtain the keyword group corresponding to each review expert. In order to distinguish the keyword group of the review expert from the keyword group of the project application material, the keyword group of the project application material is called the first keyword group, and the keyword group of the review expert is called the second keyword group;

[0071] When the project review management system needs to process a project application material, the corresponding project application material is marked as a pending project;

[0072] Obtain a first keyword group corresponding to the project to be processed, compare the first keyword group with a second keyword group, obtain the similarity between the two, and mark the similarity as the correlation X1 between the project to be processed and the corresponding review expert;

[0073] This embodiment also provides a method for obtaining a second keyword group corresponding to the review expert, which is as follows:

[0074] Obtain the first keyword group corresponding to all project application materials reviewed by the review experts within a certain period of time in the past;

[0075] Obtain all corresponding keywords in the first keyword group and the frequency of occurrence of each keyword, determine the keywords in descending order of the frequency of occurrence of each keyword, and select the required number of keywords as keywords in the second keyword group;

[0076] Stp4, calculate the correlation X1 between the items to be processed and each audit expert in turn;

[0077] Calculate the contact coefficient X2 between the enterprise corresponding to the project to be processed and each audit expert;

[0078] According to the formula β=X1 Xy-X2 Calculate the audit coefficient β of each audit expert for the corresponding project to be processed;

[0079] Where Xy is a preset value, and when X2 ≥ Xy-1, Xy-X2 takes the value of 1;

[0080] Then, a certain number of audit experts are determined in descending order according to the corresponding audit coefficient β to proceed to the next step. For the convenience of description, the audit experts screened out this time are marked as the first screening experts;

[0081] The calculation method of the contact coefficient X2 between the enterprise corresponding to the project to be processed and the audit expert is:

[0082] For the convenience of description, the enterprise corresponding to the project to be processed is marked as the central enterprise;

[0083] Get the number of times c1 of the enterprise application project of the corresponding audit expert audit center;

[0084] Get the number of regional related enterprises corresponding to the corresponding audit expert audit center enterprise c2;

[0085] Get the number of process-related enterprises corresponding to the audit expert audit center enterprise c3;

[0086] The connection coefficient X2 between the central enterprise and the audit expert is calculated according to the formula X2 = α1*c1+α2*c2+α3*c3;

[0087] Wherein α1, α2, and α3 are all preset coefficients, and α1+α2+α3=1;

[0088] In addition, regionally related enterprises are enterprises located in the same industrial park as the central enterprise;

[0089] Process-related enterprises are enterprises that are in the same supply chain as the central enterprise and have a direct supply and sales relationship with the central enterprise;

[0090] In the above steps, by matching the project application materials with the project review experts, it is ensured that the project application materials can be reviewed by review experts with rich experience in reviewing similar materials, thereby ensuring the professionalism of the material review. In addition, when matching, considering fairness and impartiality, the review experts who have frequent contact with the corresponding applicant companies are screened out as much as possible, so as to avoid the problem of unfair review results due to subjective factors of the review experts due to interest factors, etc.

[0091] Stp5. Obtain the certification scores of each first screening expert for each certification item, and accordingly obtain the average Dp of the certification scores of each first screening expert for each certification item in the past period of time. To avoid ambiguity, specifically, Dp is the average Dp of the certification scores of a first screening expert for a certification item in the past period of time;

[0092] The certification items include but are not limited to quality certification, process certification, safety certification, compliance certification, environmental certification, training certification, cost certification, time certification, etc.;

[0093] Obtain the average certification score Dp of each first screening expert for the same certification project in the past period of time, and mark these m average certification scores as Dpi, where i is an integer from 1 to m (including 1 and m), and m is the number of first screening experts;

[0094] Calculate and obtain the typical value Dpp of the corresponding m authentication score average values ​​Dpi;

[0095] The typical value Dpp may be an average value or a median value, etc.;

[0096] Then, the certification deviation θ of each first screening expert for the corresponding certification item is calculated according to the formula θ = |Dpi-Dpp| / Dpp;

[0097] For a first screening expert, the certification deviations θ of all certification items are calculated in turn, and the corresponding n certification deviations θ are marked as θj, where j is an integer from 1 to n (including 1 and n), and n is the number of certification items;

[0098] According to the formula The sum is θz;

[0099] Stp6. Further screen the first screening experts in the order of θz from small to large to obtain the final review experts;

[0100] Specifically, the first screening experts are screened based on the principle that the smaller the θz, the higher the priority as the final review expert.

[0101] The above steps analyze the historical audit records of the audit experts to obtain the deviation of a corresponding audit expert compared with other experts when auditing and evaluating different certification projects, and on this basis obtain the overall deviation of an audit expert compared with other experts in project certification audit. In the present invention, this overall deviation is regarded as the deviation caused by the personal subjective factors of the audit experts. This subjective factor is not conducive to the fairness and impartiality of project audits. Therefore, the present invention calculates the corresponding θz value of each audit expert in the past period of time, and uses this as a standard for the final screening of audit experts in the subsequent task matching process, thereby reducing the impact of the subjective factors of audit experts on the audit results during the project audit process.

[0102] Example 3

[0103] In this embodiment, a method for further screening the audit experts when matching the audit experts with the project audit materials of the project to be processed is also disclosed, which specifically includes the following steps:

[0104] After obtaining the final audit expert, the audit records of the corresponding audit experts are read from the expert database to obtain the number of project audits completed by each audit expert in the past T1 time a;

[0105] Get the number of project audits canceled by each audit expert in the same period of time in the past a1; T1 is the preset value;

[0106] Calculate the audit ratio γ corresponding to each audit expert, γ = a / (a+a1);

[0107] Further obtaining the audit ratio γ of each audit expert within the past T2 time, where T2 is a preset time value less than T1;

[0108] The final review experts are further screened in the order of γ-γ1 from large to small, and a certain number of review experts are obtained. Review invitation information is sent to these review experts through the project application platform. If any review expert refuses to review or does not respond within the preset time, the invitation will be cancelled, and other subsequent review experts will be invited in sequence until the number of invited review experts reaches a preset number.

[0109] In this way, the audit work can be arranged reasonably according to the audit work capacity of each expert, avoiding some experts from receiving a large number of audit invitations beyond their capacity, making the matching results more reasonable.

[0110] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A project audit management method based on certification, characterized in that: include: Stp1. The enterprise submits the project application materials; Stp2, obtain the certification scores of each audit expert for each certification project, and then obtain the average Dp of the certification scores of each audit expert for each certification project in the past period of time; Get the average certification score Dp of each audit expert for the same certification project in the past period of time, and mark these m average certification scores as Dpi, 1≤i≤m and i is an integer, and m is the number of audit experts; Calculate and obtain the typical value Dpp of the corresponding m authentication score average values ​​Dpi; The typical value Dpp is the average value or median; Then, the certification deviation θ of each audit expert for the corresponding certification project is calculated according to the formula θ = |Dpi-Dpp| / Dpp; Calculate the certification deviation θ of an audit expert for all certification items in sequence, and mark the corresponding n certification deviations θ as θj, where 1≤j≤n is an integer, and n is the number of certification items; According to the formula The sum is θz; Stp3. Screen the audit experts in the order of θz from small to large to obtain the final audit experts.

2. According to claim 1, a project audit management method based on certification is characterized in that: Before performing Stp2, the following steps are also performed: S1. Obtain the first keyword group corresponding to the project application materials; S2, obtaining the second keyword group corresponding to each review expert; Compare and obtain the similarity between the first keyword group and the second keyword group, and mark the similarity as the correlation X1 between the to-be-processed project and the corresponding review expert; S3, sequentially calculating the correlation X1 between the pending project and each audit expert; calculating the connection coefficient X2 between the enterprise corresponding to the pending project and each audit expert; According to the formula β=X1 Xy-X2 Calculate the audit coefficient β of each audit expert for the corresponding project to be processed; Where Xy is a preset value, and when X2≥Xy-1, Xy-X2=1; Determine the preset number of audit experts to proceed to the next step according to the order of the corresponding audit coefficient β from large to small; The calculation method of the contact coefficient X2 between the enterprise corresponding to the project to be processed and the audit expert is: Mark the enterprise corresponding to the pending project as the central enterprise; Get the number of times c1 that the corresponding audit expert audit center enterprise has applied for the project; get the number of times c2 that the corresponding audit expert audit center enterprise has the corresponding region-related enterprises; get the number of times c3 that the corresponding audit expert audit center enterprise has the corresponding process-related enterprises; The connection coefficient X2 between the central enterprise and the audit expert is calculated according to the formula X2 = α1*c1+α2*c2+α3*c3; Wherein α1, α2, and α3 are all preset coefficients, and α1+α2+α3=1; Regionally related enterprises are enterprises located in the same industrial park as the central enterprise; Process-related enterprises are enterprises that are in the same supply chain as the central enterprise and have a direct supply and marketing relationship with the central enterprise.

3. A project audit management method based on certification according to claim 2, characterized in that: The method for obtaining the second keyword group includes the following steps: Obtain the first keyword group corresponding to all project application materials reviewed by the review experts within the past preset time; All the corresponding keywords in the first keyword group and the frequency of occurrence of each keyword are obtained, and a required number of keywords are selected from each keyword in descending order of frequency of occurrence as keywords in the second keyword group.

4. The project audit management method based on certification according to claim 1 is characterized in that: When matching the audit experts with the project audit materials of the pending projects, the following steps are also included: After obtaining the final audit expert, obtain the number of project audits a completed by each corresponding audit expert in the past T1 time; Obtain the number of project audits canceled by each audit expert in the past T1 time a1; T1 is a preset value; calculate the audit ratio γ corresponding to each audit expert, γ = a / (a+a1); Obtain the audit ratio γ1 of each audit expert within the past T2 time, where T2 is a preset time value less than T1; The final review experts are further screened in the order of γ-γ1 from large to small, a preset number of review experts are obtained, and review invitation information is sent to these review experts through the project application platform.

5. A project review management system based on authentication, the system is used to implement the project review management method according to any one of claims 1 to 4, the system comprising: Project application platform, through which users submit project application materials; The submitted project application materials are transmitted to the storage device for storage; A keyword extraction unit is used to obtain keyword groups in the project application materials submitted by the enterprise; A memory device for storing historical project declaration information; Expert database, used to store audit expert information; The matching unit is used to match the project application materials submitted by enterprise users with the review experts.

6. An electronic device, characterized in that: include: at least one processor; as well as A memory in communication connection with the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor so as to enable the at least one processor to perform the method of any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium storing computer-executable instructions; after the computer-executable instructions are executed by a processor, the method of any one of claims 1 to 4 can be implemented.

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