Enterprise qualification evaluation system and method

Abstract

The invention relates to the technical field of enterprise management, in particular to an enterprise qualification evaluation system and method. The enterprise qualification evaluation system comprises a file interpretation module used for extracting and obtaining a correlation file according to an evaluation type, and interpreting the correlation file to obtain file information related to enterprise qualification evaluation. The enterprise information acquisition module is used for collecting related information of an enterprise and obtaining enterprise qualification information. The enterprise information comparison module is used for judging whether enterprise qualification information bars in the enterprise qualification information are vacant or not. And comparing the enterprise qualification information strip with a data standard, and judging whether the enterprise qualification information strip meets the data standard or not. The evaluation analysis module is used for calculating the evaluation value of each item catalog and the total evaluation value of the evaluation type. According to the method, related files and related information of enterprises can be automatically extracted and then compared. And rapid and automatic positioning of the enterprise qualification information bars which cannot be collected and are unqualified can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise management, and in particular to an enterprise qualification evaluation system and method. Background Art

[0002] Enterprise qualifications refer to the licenses, certifications or certificates of enterprises in terms of law, finance, management, technology, etc., and are key indicators for measuring the capabilities and credibility of enterprises. The acquisition and maintenance of enterprise qualifications play an important role in improving the competitiveness of enterprises, attracting customers and partners, and obtaining preferential policies. The following are some common types of enterprise qualifications: 1. Business license: It is a certificate of the legal registration and operation of an enterprise, issued by the State Administration for Industry and Commerce. 2. Tax registration certificate: It is a certificate obtained by an enterprise after obtaining a tax registration number after registering for taxation in accordance with the law, and is issued by the tax bureau. 3. Organization code certificate: It is a unique identification code set by an enterprise for social public security and management needs, issued by the State Administration for Technical Supervision. 4. Trademark registration certificate: It is a certificate that proves that an enterprise has independent intellectual property rights, issued by the State Administration for Industry and Commerce. 5. Patent certificate: It is a technical achievement of an enterprise with independent intellectual property rights, issued by the State Intellectual Property Office. The evaluation and improvement of enterprise qualifications requires enterprises to focus on the cultivation of their own strength, continuously improve the quality of products and services, improve the company's management and system construction, and establish a good corporate image and reputation.

[0003] When enterprises conduct some policy qualification evaluations, the sales staff's on-site communication efficiency is low, the application conditions for each project are different, the policy requirements are different, the time nodes are limited, there are many offline links, many technical requirements, and the communication cycle is long and costly. As a result, the timeliness and pass rate of project applications cannot be guaranteed. Once a project is missed, it will take another year to wait, and there is no guarantee that the project will continue to receive relevant policy support next year. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an enterprise qualification evaluation system for rating enterprise qualifications and supplementing enterprise qualification materials in a targeted manner. The enterprise qualification evaluation system may include:

[0005] The file interpretation module is used to extract relevant files according to the evaluation type, interpret the relevant files, and obtain the file information related to the evaluation of enterprise qualifications. The file information related to the evaluation of enterprise qualifications includes the project directory and the corresponding data standards. The relevant files are the document basis for our evaluation of enterprise qualifications information. It marks the category, direction, content and standard of our evaluation of enterprise qualifications, etc. Generally, the acquisition can be linked to the website where the relevant files are published or the exclusive column of the website through the file interpretation module.

[0006] The enterprise information acquisition module is used to collect relevant information of the enterprise and obtain enterprise qualification information. Enterprise qualification information is a basic document for evaluating the qualifications of an enterprise. Enterprise qualification information can include a project directory and enterprise qualification information. The enterprise qualification information corresponds to the data standard. The data standard data comes from the relevant documents. The enterprise qualification information comes from the relevant information of the enterprise. The data standard and enterprise qualification information of the same project directory both describe this project directory. The data standard is the standard for evaluating the enterprise qualification information. The relevant information of the enterprise can be obtained from the historical background information of the enterprise in previous years. These materials need to collect the historical information of the enterprise and predict the development of the enterprise.

[0007] The enterprise information comparison module is used to determine whether there are vacant enterprise qualification information bars in the enterprise qualification information. If so, a first-level reminder signal is sent, and if not, no reminder signal is sent. In the actual work process, the file information related to the evaluation of enterprise qualifications includes project directories and corresponding data standards. The enterprise qualification information contains project directories and corresponding enterprise qualification information bars, which correspond one to one. If the enterprise qualification information bar corresponding to the project directory is empty, it means that the project directory has not collected information, and a first-level reminder signal needs to be sent at this time. Through real-time reminders, the first-level reminder signal includes vacant project directories. Compare the enterprise qualification information bar with the data standard, and determine whether the enterprise qualification information bar of the same project directory meets the data standard. If so, no reminder signal is sent, if not, a second-level reminder signal is sent. The second-level reminder signal includes a project directory that does not meet the data standard.

[0008] Evaluation analysis module, used to calculate the evaluation value q of each project directory l And the total evaluation value F of the evaluation type, where l is the number of the project directory of the evaluation type. The evaluation value of each project directory here can be calculated by numerical comparison or keyword overlap.

[0009] Preferably, the method for obtaining document information related to the enterprise qualification evaluation may include: scanning the relevant documents to obtain the text data information thereon. Then, the text data information is compared and identified with a keyword library related to the qualification information that is preset and prepared to obtain the qualification keywords, and then the corresponding project directory and data standards are obtained according to the preset correlation keywords, and the project directory and data standards together constitute the document information related to the enterprise qualification evaluation.

[0010] Preferably, the method for obtaining the enterprise qualification information may include: network data retrieval, paper material information extraction, on-site staff inquiry and / or manual input, etc. It can be obtained by one method, or by a combination of multiple methods. If one method is used, the acquisition method is relatively simple, which may easily cause information lag or heavy workload. Generally, multiple methods are used in combination, and the same project catalog is obtained by priority.

[0011] Preferably: the method for network data retrieval may include: obtaining web page information data, the web page information data may be information content obtained directly from the web page, and then extracting preset key information groups from the web page information data, thereby obtaining enterprise qualification information pieces, and then arranging and combining each enterprise qualification information piece according to the preset key information groups, thereby forming the required enterprise qualification information.

[0012] Preferably: the preset key information group may include: project directory and corresponding keyword group, information coverage, enterprise qualification information extraction method and enterprise qualification information combination method, etc.

[0013] Preferably, the paper document information extraction method may include: scanning the paper document and then converting the paper document into electronic information data, and the paper document information is generally a tabular material. The electronic information data acquisition method includes: scanning the paper document to obtain a document scanned image, implanting the document scanned image into a preset plane coordinate system, and then obtaining the grayscale value G of each coordinate point, and taking the grayscale value difference ΔG of two adjacent coordinate points as greater than a preset standard grayscale value difference ΔG. 标 The midpoint of the neighboring coordinates is used as the dividing point. The neighboring coordinate points are generally 2-50 pixels. The standard gray value difference ΔG 标 It can be determined according to the clarity of the image and the difference between the font depth pixel and the background pixel. Connect the adjacent dividing points in sequence to form a dividing line, then take points on the dividing line according to a preset density ρ to obtain frame points, and then calculate the straightness Sn of the dividing line I , and then determine the straightness Sn I Is it greater than a preset straight line standard Sn? 标 If yes, calculate I+1, if no, determine whether I is greater than a preset standard width frame point number I 标 If not, the dividing line is determined not to be a frame line and is discarded. If so, the dividing line is defined as a frame line, and the area separated by each frame line is defined as the information coverage range.

[0014] Preferably: the number of standard width frame points Where A is the minimum width of the table, and ρ is the preset density, which can generally be calculated based on pixels.

[0015] Preferred: Enterprise qualification information includes historical data and predictive data, and the predictive data is operating income. j , where j is the annual number, and its value range is j = 1, 2, ..., J; in general, three years of existing data are required, j = 1 is basically the annual operating income of the past three years, that is, O4 is the current year data, so there is a basis for predicting the operating income. The value of J is generally 6, of course, this is only a general case and does not exclude other cases, which will not be elaborated here. The operating income mentioned Where k is the number of each business of the enterprise, K is the total number of business of the enterprise, k = 1, 2, ..., K; k is the annual operating income of business numbered k.

[0016] Preferred: Annual operating income k The forecasting method may include: constructing an annual operating income curve and an annual operating income curve. The annual operating income curve has the horizontal axis as the time point in the year and the vertical axis as the operating income amount. The operating income at each time point in the year is implanted into the coordinate system to obtain each income point, and then each income point is connected in sequence to obtain the annual operating income curve. The horizontal axis of the annual operating income curve is each year, and the vertical axis is the operating income amount. The operating income at this time point in each year is implanted into the coordinate system to obtain each income point, and then each income point is connected in sequence to obtain the annual operating income curve. Calculate the year-on-year growth rate Yg for each year j and month-on-month growth rate Mg m , year-on-year growth rate Yg j is the slope of the operating income curve at the annual time point, and the month-on-month growth rate Mg m is the slope of the operating income curve at time point m in the year. When j = T, T is the current year number, and the operating income at the current year time point Y j,m =ε Y Y j-1,m (1+Yg j )+ε M Y j,m-1 (1+Mg m ), where m is the time unit number in the year j, preferably the month number, and Y j，m is the operating income of the mth time unit in year j, ε Y is the year-on-year weight, ε M is the month-on-month weight, and its value can be determined according to the impact of annual or intra-year changes, ε Y +ε M=1, its value can be within 0.2-0.8, which will not be described in detail here, so as to fit the current annual operating income curve, and then according to Y j+s =ε Y Y j+s-1,m (1+Yg j+s-1 ), s is a natural number. Fit the operating income curve of the subsequent year. Then integrate the operating income curve of each year to obtain the operating income o k .

[0017] Preferably, the time point coordinate unit can be month, ten days, week or day, among which month is more suitable.

[0018] Preferred: Straightness of the dividing line In the formula, i is the number of the frame point on the same dividing line, g i It is expressed as the slope of the frame point numbered i; g i It is the average slope of the n frame line points numbered i. When the number is less than n, it is calculated according to the maximum value. The value range of n can be 3-10, of course, other value settings are not excluded. I is the total number of frame line points currently evaluated on the same dividing line. i=1, 2, …, I; ɑ is the device parameter factor. The specific value is related to the camera capability or can be obtained through settings. Generally, the higher the definition of the camera, the smaller the device parameter factor. Without considering the difference in cameras, the device parameter factor can be set to 1.

[0019] Preferred: Whether the enterprise qualification information item meets the data standard is determined by comparing the numerical value or the keyword overlap.

[0020] Preferably: the method for determining the degree of keyword overlap is basically whether the number of keywords overlapping between the key words of the enterprise qualification information item and the data standard is equal to the number of keywords in the data standard. If so, it is determined that the enterprise qualification information item meets the data standard. If not, it is determined that the enterprise qualification information item does not meet the data standard.

[0021] Preferably: if the enterprise qualification information bar does not meet the data standard, a general reminder is given, and the enterprise qualification information bar that does not meet the data standard is displayed in a highlighted color. If all enterprise qualification information bars meet the data standard, they are displayed in a normal color at the corresponding position on the display page.

[0022] Preferably: the evaluation value obtaining method may include: even if the evaluation score is obtained Among them A l is the actual value corresponding to the enterprise qualification information item, V l is the standard value in the data standard. Then the evaluation value q corresponding to its level is determined according to the evaluation score l Through this method, the situation of each project directory can be obtained more intuitively and clearly.

[0023] Preferred: The total rating value of this rating type Where l is the number of the project directory of the evaluation type, L is the total number of project directories of the evaluation type, l = 1, 2, ..., L; W l is the weight of the project directory numbered l.

[0024] The present invention also provides an enterprise qualification evaluation method, comprising the following steps:

[0025] S1. Extract relevant documents according to the evaluation type, interpret the relevant documents, and obtain document information related to the evaluation of enterprise qualifications. The document information related to the evaluation of enterprise qualifications includes the project directory and the corresponding data standards.

[0026] S2. Collect relevant information of the enterprise and obtain enterprise qualification information.

[0027] S3. Determine whether there is any vacant enterprise qualification information item in the enterprise qualification information. If yes, send a first-level reminder signal; if no, do not send a reminder signal.

[0028] S4. Compare the enterprise qualification information item with the data standard, and determine whether the enterprise qualification information item of the same project directory meets the data standard. If yes, no reminder signal is sent; if not, a secondary reminder signal is sent.

[0029] The technical effects and advantages of the present invention: The present invention can automatically extract relevant documents and relevant information of enterprises, and then compare them to quickly locate the uncollected and unqualified enterprise qualification information, avoiding multiple supplements and verifications by staff, and ensuring the accuracy of information data. The generated report can be used to evaluate the evaluation type in various aspects and in general, and can quickly understand it from the micro and macro perspectives. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a structural block diagram of an enterprise qualification evaluation system proposed by the present invention.

[0031] Figure 2 The present invention provides a flowchart of a method for obtaining document information related to evaluating enterprise qualifications in an enterprise qualification evaluation system proposed by the present invention.

[0032] Figure 3 The present invention provides a flow chart of a method for network data retrieval in an enterprise qualification evaluation system.

[0033] Figure 4 The present invention provides a flowchart of a method for obtaining electronic information data in an enterprise qualification evaluation system.

[0034] Figure 5 The present invention provides a flow chart of an enterprise qualification evaluation method. DETAILED DESCRIPTION

[0035] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0036] Example 1

[0037] refer to Figure 1 In this embodiment, an enterprise qualification evaluation system is proposed to rate enterprise qualifications and supplement enterprise qualification materials in a targeted manner. The enterprise qualification evaluation system may include:

[0038] The file interpretation module is used to extract relevant files according to the evaluation type, and interpret the relevant files to obtain file information related to the evaluation of enterprise qualifications. Evaluation types can include enterprise self-evaluation, high-tech enterprises, specialized and new enterprises, provincial and municipal enterprise technology centers, provincial and municipal enterprise engineering technology research centers, and small and medium-sized scientific and technological enterprises. Each evaluation type has its own specified project directory content. The file information related to the evaluation of enterprise qualifications includes the project directory and the corresponding data standards. The relevant files are the document basis that we need to refer to and rely on to evaluate the enterprise qualification information. It identifies the category, direction, content and standard of our evaluation of enterprise qualifications. Generally, the acquisition can be linked to the website where the relevant files are published or the exclusive column of the website through the file interpretation module, and the details will not be repeated here. Reference Figure 2, the method for obtaining document information related to the evaluation of enterprise qualifications may include: scanning relevant documents to obtain text data information thereon. We can pre-set and make a keyword library related to qualification information, and then compare and identify the text data information with the keyword library related to qualification information to obtain qualification keywords, and then obtain the corresponding project directory and data standards according to the preset correlation keywords. The project directory and data standards together constitute the document information related to the evaluation of enterprise qualifications. The document information related to the initial evaluation of enterprise qualifications is generally obtained manually, but of course the possibility of automatic extraction is not excluded. The project directory and corresponding data standards for the evaluation of enterprise qualifications can be extracted manually or automatically, but with the change of time, the relevant documents will change, some of which are changes in the project directory, and some of which are changes in the corresponding data standards. In this way, relevant personnel are required to interpret the documents regularly and frequently, which will increase the workload and are prone to errors and omissions. Therefore, in general, the keyword library related to qualification information is the existing field keywords. For example, a relevant document is published on a website where relevant documents are published. The relevant document publishes information related to personnel data for evaluating enterprise qualifications. We pre-set and create a keyword library related to qualification information as enterprise personnel data, and then compare the relevant document with the keyword library related to qualification information to obtain the qualification keyword as enterprise personnel data. Then, we analyze the relevant document, which contains "Enterprise personnel data includes: real-time total number of employees more than 100, number of R&D personnel more than 10, number of undergraduates or above more than 10, number of provincial and above talents more than 2". Then, the analysis obtains the associated word "includes", and the corresponding project directory and corresponding data standards are obtained, which are "real-time total number of employees, number of R&D personnel, number of undergraduates or above, number of provincial and above talents, etc. and their corresponding numbers", and the standard information data are "100 people, 10 people, 10 people and 2 people". Of course, this is just a simple example and is not necessarily universal. Other specific situations will not be elaborated here. Relevant keywords can be set in advance, generally covering associations, limiting associations, enumeration associations, etc. The relevant keywords of covering associations generally include "for, including, containing, composed of...", etc. Other specific situations are not described here. The document information related to the evaluation of enterprise qualifications can also be improved and supplemented manually. The document information related to the evaluation of enterprise qualifications obtained by the document interpretation module may have deviations or formal problems. At this time, it is necessary to revise it through human intervention. Specifically, the document information related to the evaluation of enterprise qualifications can be exported and displayed in an editable manner to facilitate manual revision. The specific content is not described here.

[0039] The enterprise information acquisition module is used to collect relevant information of the enterprise and obtain enterprise qualification information. Enterprise qualification information is a basic document for evaluating the qualifications of the enterprise. Enterprise qualification information can include a project directory and information on enterprise qualifications. The enterprise qualification information corresponds to the data standard. The data standard data comes from the relevant documents. The enterprise qualification information comes from the relevant information of the enterprise. The data standard and the enterprise qualification information of the same project directory are both descriptions of this project directory. The data standard is the standard for evaluating the enterprise qualification information. The relevant information of the enterprise can be obtained from the historical background information of the enterprise in previous years. These materials need to collect the historical information of the enterprise and predict the development of the enterprise. There are many ways to obtain the enterprise qualification information, which may include network data retrieval, paper material information extraction, on-site inquiries to staff and / or manual input. It can be obtained in one way, of course, it can also be obtained in combination of multiple ways. Using one way to obtain, the acquisition method is relatively single, which is easy to cause information lag or a large workload. Generally, multiple methods are used in combination, and the same project directory is obtained by priority. The specific details are not repeated here. Network data retrieval is to search through the Internet and then collect the corresponding information, so as to obtain the information disclosed by the enterprise on the Internet. Generally, it can be obtained through Qichacha, Tianyancha or the official website of the enterprise. The specific search process will not be described here. Figure 3, the network data retrieval method may include: obtaining web page information data, the web page information data may be directly obtained from the web page information content, and then extracting the preset key information group from the web page information data, so as to obtain the enterprise qualification information strip, and then arranging and combining each enterprise qualification information strip according to the preset key information group, so as to form the required enterprise qualification information. The preset key information group may include: project directory and corresponding keyword group, information coverage, enterprise qualification information strip extraction method and enterprise qualification information strip combination method, etc. The project directory is the name of the project we need to extract. For example, we need to count the total number of employees in the enterprise, and the project directory obtained from the relevant file is the total number of employees in the enterprise. The keyword group is generally a synonym or equivalent word of the project directory. By setting this method, the completeness of information coverage is increased, data extraction errors caused by keyword setting deviations are avoided, the accuracy of data extraction is guaranteed, and information normalization can be performed in the form of project directory. For example, the project directory is the total number of employees in the enterprise, and its keyword group may be the total number of personnel, the number of insured persons, the number of employees, etc. The information coverage content is the relative position of the enterprise qualification information strip corresponding to the project directory we want to extract. For example, in the case of tabular web page information data, the information coverage content is the table range on the right side of the corresponding table position, etc. Of course, this is not the only way, and other ways will not be described in detail here. In this way, the information coverage content can be divided in a targeted manner, and then the extraction can be carried out in a targeted manner, which narrows the extraction scope, can greatly reduce the amount of calculation, and improves the efficiency and accuracy of the extraction. The method for extracting enterprise qualification information strips may include the form and nature of the information strips. For example, the extracted information strip is in the form of a number, and the nature is a noun, etc., which will not be described in detail here. In this way, the enterprise qualification information strips can be quickly located, which improves the accuracy and efficiency of the extraction. The combination method of enterprise qualification information strips is a method of exporting information, which can be exported in the form of a table or other forms, which will not be described in detail here. Paper document information extraction can be carried out by scanning the paper documents and then converting the paper documents into electronic information data. The post-processing data of the electronic information data is similar to the method of network data retrieval, which will not be described in detail here. Reference Figure 4 Paper document information is generally tabular material. The general scanning method for obtaining electronic information data does not divide the area but directly converts it into text information. Therefore, scanning paper document information requires first identifying the frame line of the table. Specifically, it may include: scanning the paper document to obtain the document scan image, implanting the document scan image into a preset plane coordinate system, and then obtaining the gray value G of each coordinate point, and taking the gray value difference ΔG of two adjacent coordinate points as greater than a preset standard gray value difference ΔG. 标The midpoint of the neighboring coordinates is used as the demarcation point. The neighboring coordinate point is generally 2-50 pixels, which can be determined according to the clarity of the document scanned image. The specific details are not repeated here. Standard gray value difference ΔG 标 It can be determined according to the clarity of the image and the difference between the font depth pixel and the background pixel, which will not be described in detail here. The method for obtaining the grayscale value of each coordinate point in the image is a prior art, which will not be described in detail here. The line formed by connecting adjacent dividing points in sequence is defined as the dividing line, and then points are taken on the dividing line according to a preset density ρ to obtain frame line points. The preset density ρ can be one value for 10-100 pixel points, and of course other situations are not excluded. Then calculate the straightness of the dividing line In the formula, i is the number of the frame point on the same dividing line, g i It is expressed as the slope of the frame point numbered i; g i It is the average value of the slopes of the n frame line points numbered i. When the number is less than n, it is calculated according to the maximum value. The value range of n can be 3-10, and of course other value settings are not excluded. I is the total number of currently evaluated frame line points on the same dividing line. i = 1, 2, ..., I; ɑ is the device parameter factor. The specific value is related to the camera capability or can be obtained through settings. Generally, the higher the clarity of the camera, the smaller the device parameter factor. Without considering the difference in cameras, the device parameter factor can be set to 1. The details are not repeated here. The straightness calculated by this method can be used to evaluate each dividing line well, and can distinguish whether each dividing line is a frame line. Then judge the straightness Sn I Is it greater than a preset straight line standard Sn? 标 If yes, calculate I+1, if no, determine whether I is greater than a preset standard width frame point number I 标 If not, the dividing line is determined not to be a frame line and is discarded. If yes, the dividing line is defined as a frame line, and the area separated by each frame line is defined as the information coverage range. Thus, targeted analysis can be performed. The number of standard width frame line points I 标 The specific number of standard width border points can be determined based on the actual table width and the preset density. Where A is the minimum width of the table, and ρ is the preset density, which can generally be calculated based on pixels. For example, if the minimum width of the table A is 100 pixels, and the preset density ρ is 10 pixels per frame point, then the number of standard width frame points I 标The number is 10. If it is less than 10, it means that the dividing line is a short straight line segment in font or other forms, not a frame line of a table. Of course, this is just a simple example and is not necessarily universal. Other situations will not be described here. This method can accurately and clearly obtain each frame line, avoiding the interference of other similar frame lines, and at the same time greatly reducing the information coverage recognition errors caused by non-closed straight lines, and can accurately locate. On-site inquiries to staff can be made by on-site recording, and then the voice information can be converted into text data, and then it can be processed according to the network data retrieval method. The specific technology is the existing technology and will not be described here. The manual input method can correct errors or supplement them to avoid typos and information omissions. The specific information will not be described here. As mentioned above, enterprise qualification information includes historical data and predictive data. Historical data can be directly obtained through the historical background information of the enterprise in previous years, and these data are real. Predictive data needs to be predicted based on historical data. Predictive data can be financial data or planning data, etc. Planning data can be listing plans, intellectual property plans, cooperation plans, financing plans, etc., which can be directly obtained from the relevant information of the enterprise and do not need to be predicted. Financial data mainly includes financial data for the past three years, the current year, and the next two years. There is no actual data available for the current year and the next two years, so predictions are needed. Financial data mainly includes operating income, main business income, total profit, total net profit, taxes payable, total R&D expenses, etc., among which the operating income of the data is the main calculation subject, and other data can be obtained by calculating the proportion of this data. Operating income j , where j is the annual number, and its value range is j = 1, 2, ..., J; in general, three years of existing data are required, j = 1 is basically the annual operating income of the past three years, that is, O4 is the current year data, so there is a basis for predicting the operating income. The value of J is generally 6, of course, this is only a general case and does not exclude other cases, which will not be elaborated here. The operating income mentioned Where k is the number of each business of the enterprise, K is the total number of business of the enterprise, k = 1, 2, ..., K; k is the annual operating income of the business numbered k. When j is T, T is the current year number, that is, the operating income o kis the business income of the business numbered k in the current year. When j is T, the annual business income calculation method may include: constructing the business income curve within j and the annual business income curve. The annual business income curve is the time point within the year with the horizontal axis as the coordinate unit, and the time point coordinate unit can be month, ten days, week or day, among which month is preferred. The vertical axis is the business income amount, so the business income at each time point of the year is implanted into the coordinate system to obtain each income point, and then each income point is connected in sequence to obtain the annual business income curve. The horizontal axis of the annual business income curve is each year, and the vertical axis is the business income amount, and then the business income at this time point of each year is implanted into the coordinate system to obtain each income point, and then each income point is connected in sequence to obtain the annual business income curve. Calculate the year-on-year growth rate Yg for each year j and month-on-month growth rate Mg m , year-on-year growth rate Yg j is the slope of the operating income curve at the annual time point, and the month-on-month growth rate Mg m is the slope of the operating income curve at time point m in the year. When j = T, the operating income Y at the current time point in the year j,m =ε Y Y j-1,m (1+Yg j )+ε M Y j,m-1 (1+Mg m ), where m is the time unit number in the year j, preferably the month number, and Y j，m is the operating income of the mth time unit in year j, ε Y is the year-on-year weight, ε M is the month-on-month weight, and its value can be determined according to the impact of annual or intra-year changes, ε Y +ε M =1, its value can be within 0.2-0.8, which will not be described in detail here, so as to fit the current annual operating income curve, and then according to Y j+s =ε Y Y j+s-1,m (1+Yg j+s-1 ), s is a natural number. Fit the operating income curve of the subsequent year. Then integrate the operating income curve of each year to obtain the operating income o k Other financial data can be calculated based on operating income, which will not be elaborated here. This method can fully take into account the month-on-month and year-on-year changes. By summarizing and calculating various operating incomes, the impact of the current year can be fully considered, and the judgment will not be based on only one factor, making the budget more accurate.

[0040] The enterprise information comparison module is used to determine whether there is a vacancy in the enterprise qualification information. If so, a first-level reminder signal is sent, and if not, no reminder signal is sent. In the actual work process, the file information related to the evaluation of enterprise qualifications includes a project directory and the corresponding data standards, and the enterprise qualification information includes a project directory and a corresponding enterprise qualification information bar, which correspond to each other. If the enterprise qualification information bar corresponding to the project directory is empty, it means that the project directory has not collected information, and a first-level reminder signal needs to be sent at this time. Through real-time reminders, the first-level reminder signal includes a vacant project directory. Specifically, it can include: if there is a vacancy, a general reminder is made, which can be a highlight color display on the corresponding position on the display page, such as red. For vacant positions, highlight colors can be displayed separately. If there is no vacancy, the corresponding position on the display page is displayed in a normal color, such as green. Highlight color display is performed through the display page. This makes it convenient for staff to conduct voice inquiries or manual input on the spot, avoiding the cumbersome work caused by repeated manual verification and handover. Compare the enterprise qualification information strip with the data standard, and determine whether the enterprise qualification information strip meets the data standard. If yes, no reminder signal is sent, if not, a secondary reminder signal is sent. The secondary reminder signal contains a directory of items that do not meet the data standard. The satisfaction here can be compared by numerical value or keyword overlap judgment. The numerical comparison is generally that the enterprise qualification information strip value is greater than the data standard. For example, the real-time total number of employees is 120, and the data standard is more than 100 people, etc., and then it is judged that 120 is greater than 100, then the enterprise qualification information strip meets the data standard. Of course, there are also cases where it is less than, which will not be described in detail here. The method of keyword overlap judgment is basically whether the key words of the enterprise qualification information strip and the key words of the data standard overlap are equal to the number of data standard keywords. If yes, it is determined that the enterprise qualification information strip meets the data standard. If not, it is determined that the enterprise qualification information strip does not meet the data standard. Specifically, if the enterprise qualification information strip does not meet the data standard, a general reminder is given, which can be a highlight color display at the corresponding position on the display page, such as red. For enterprise qualification information strips that do not meet the data standard, they are highlighted in color. If all enterprise qualification information bars meet the data standards, they will be displayed in a normal color, such as green, at the corresponding position on the display page. This method can quickly locate the project directories that do not meet the data standards, thereby facilitating the optimization and material supplementation of the enterprise qualification information bars of each project directory, thereby improving the enterprise qualifications.

[0041] Evaluation analysis module, used to calculate the evaluation value q of each project directory lAnd the total evaluation value F of the evaluation type, where l is the number of the project directory of the evaluation type. The evaluation values ​​of each project directory here can be calculated by numerical comparison or keyword overlap. Of course, a step-by-step standard comparison can also be performed to divide it into excellent, qualified and unqualified levels. The evaluation value acquisition method may include: even if the evaluation score is obtained Among them A l is the actual value corresponding to the enterprise qualification information item, V l is the standard value in the data standard. Then the evaluation value q corresponding to its level is determined according to the evaluation score l This method can more intuitively and clearly obtain the situation of each project directory. For example, the total number of real-time employees is 120, the data standard is more than 100 people, etc., the evaluation score 1.2 is greater than 1, which is excellent, and the corresponding evaluation value is q l The keyword overlap is 1. Of course, this is just a simple example and is not necessarily universal. Other cases will not be elaborated here. The keyword overlap is the ratio of the number of overlaps between the key words of the enterprise qualification information and the key words of the data standard to the key words of the data standard. Evaluation value q l The value is controlled between 0 and 1, and the full score is generally 1. Other values ​​are not mentioned here. Where l is the number of the project directory of this evaluation type, L is the total number of project directories of this evaluation type, and W l is the weight of the project directory numbered l, which can be the workload or evaluation ratio weight, and can be prepared in advance according to each project directory. It is not the subject of protection of this application and will not be described in detail here. Then the project directory, corresponding data standards, and evaluation value q of each project directory included in the file information related to the evaluation of enterprise qualifications are l The total evaluation value F of the evaluation type and the enterprise qualification information included in the enterprise qualification information are constructed into an evaluation report, which is convenient for reference and analysis.

[0042] Example 2

[0043] refer to Figure 5 , a method for evaluating enterprise qualifications, comprising the following steps:

[0044] S1. Extract relevant documents according to the evaluation type, interpret the relevant documents, and obtain document information related to the evaluation of enterprise qualifications. The document information related to the evaluation of enterprise qualifications includes the project directory and the corresponding data standards.

[0045] S2. Collect relevant information of the enterprise and obtain enterprise qualification information.

[0046] S3. Determine whether there is any vacant enterprise qualification information item in the enterprise qualification information. If yes, send a first-level reminder signal; if no, do not send a reminder signal.

[0047] S4. Compare the enterprise qualification information item with the data standard, and determine whether the enterprise qualification information item of the same project directory meets the data standard. If yes, do not send a secondary reminder signal; if not, send a secondary reminder signal.

[0048] S5. Calculate the evaluation value q of each project directory l And the total evaluation value F of the evaluation type, where l is the number of the project directory of the evaluation type.

[0049] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0050] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. An enterprise qualification evaluation system, characterized in that: The enterprise qualification evaluation system includes: A file interpretation module is used to extract relevant files according to the evaluation type, and interpret the relevant files to obtain file information related to the evaluation of enterprise qualifications; the file information related to the evaluation of enterprise qualifications includes the project directory and the corresponding data standards; Enterprise information acquisition module, which is used to collect relevant information of the enterprise and obtain enterprise qualification information, which includes project directory and enterprise qualification information; An enterprise information comparison module is used to determine whether there is a vacant enterprise qualification information item in the enterprise qualification information, and if so, send a first-level reminder signal, if not, do not send a reminder signal; compare the enterprise qualification information item with the data standard, and determine whether the enterprise qualification information item of the same project directory meets the data standard, if so, do not send a reminder signal, if not, send a second-level reminder signal; Evaluation analysis module, which is used to calculate the evaluation value q of each project directory l And the total evaluation value F of the evaluation type, where l is the number of the project directory of the evaluation type.

2. According to claim 1, the enterprise qualification evaluation system is characterized in that: The method for obtaining document information related to the evaluation of enterprise qualifications includes: scanning relevant documents to obtain text data information thereon, then comparing and identifying the text data information with a keyword library related to the qualification information that is pre-set and produced to obtain qualification keywords, and obtaining the corresponding project directory and data standards based on the preset correlation keywords. The project directory and data standards together constitute the document information related to the evaluation of enterprise qualifications.

3. The enterprise qualification evaluation system according to claim 1, characterized in that: Methods for obtaining enterprise qualification information include: network data retrieval, paper document information extraction, on-site staff inquiries and / or manual input.

4. The enterprise qualification evaluation system according to claim 3 is characterized in that: The network data retrieval method includes: obtaining web page information data, then extracting preset key information groups from the web page information data, obtaining enterprise qualification information pieces, and then arranging and combining each enterprise qualification information piece according to the preset key information groups to form the required enterprise qualification information.

5. The enterprise qualification evaluation system according to claim 4, characterized in that: The preset key information groups include: project directory and corresponding keyword groups, information coverage, enterprise qualification information strip extraction method and enterprise qualification information strip combination method.

6. The enterprise qualification evaluation system according to claim 3, characterized in that: The paper document information extraction method includes: scanning the paper document, and then converting the paper document into electronic information data; the electronic information data acquisition method includes: scanning the paper document, obtaining the document scanned image, implanting the document scanned image into a preset plane coordinate system, and then obtaining the gray value G of each coordinate point, and taking the gray value difference ΔG of two adjacent coordinate points greater than a preset standard gray value difference ΔG as the gray value difference. 标 The midpoint of the adjacent coordinates is used as the dividing point, and the adjacent dividing points are connected in sequence to form a dividing line. Points are taken on the dividing line according to a preset density ρ to obtain frame points, and then the straightness Sn of the dividing line is calculated I , and then determine the straightness Sn I Is it greater than a preset straight line standard Sn? 标 If yes, calculate I+1, if not, determine whether I is greater than a preset standard width frame point number I 标 If not, the dividing line is determined not to be a frame line and is discarded. If yes, the dividing line is defined as a frame line, and the area separated by each frame line is defined as the information coverage range.

7. The enterprise qualification evaluation system according to claim 1, characterized in that: Enterprise qualification information includes historical data and predictive data. The predictive data is operating income. j Where j is the year number, and its value range is j = 1, 2, ..., J; the operating income Where k is the number of each business of the enterprise, K is the total number of business of the enterprise, k = 1, 2, ..., K; k is the annual operating income of business numbered k.

8. The enterprise qualification evaluation system according to claim 7, characterized in that: Annual operating income k The forecasting method includes: constructing an annual operating income curve and an annual operating income curve. The annual operating income curve has the time point in the year as the horizontal axis and the operating income amount as the vertical axis. The operating income at each time point in the year is implanted into the coordinate system to obtain each income point, and then each income point is connected in sequence to obtain the annual operating income curve; the annual operating income curve has the year as the horizontal axis and the operating income amount as the vertical axis. The operating income at this time point in each year is implanted into the coordinate system to obtain each income point, and then each income point is connected in sequence to obtain the annual operating income curve; calculate the year-on-year growth rate Yg of each year j and month-on-month growth rate Mg m , year-on-year growth rate Yg j is the slope of the operating income curve at the annual time point, and the month-on-month growth rate Mg m is the slope of the operating income curve at time point m in the year. When j = T, T is the current year number, and the operating income at the current year time point Y j,m =ε Y Y j-1,m (1+Yg j )+ε M Y j,m-1 (1+Mg m ), where m is the time unit number in year j, Y j，m is the operating income of the mth time unit in year j, ε Y is the year-on-year weight, ε M The quarter-on-quarter weight is used to fit the current year’s operating income curve, and then the j+s =ε Y Y j+s-1,m (1+Yg j+s-1 ), s is a natural number, fitting the operating income curve of the subsequent year, and then integrating the operating income curve of each year to obtain the operating income o k .

9. The enterprise qualification evaluation system according to claim 1, characterized in that: Whether the enterprise qualification information meets the data standards is determined by comparing the numerical values ​​or the degree of keyword overlap.

10. A method for evaluating enterprise qualifications, characterized in that: The steps include: S1. Extract relevant documents according to the evaluation type, interpret the relevant documents, and obtain document information related to the evaluation of enterprise qualifications; the document information related to the evaluation of enterprise qualifications includes the project directory and the corresponding data standards; S2. Collect relevant information of the enterprise and obtain enterprise qualification information, which includes project catalog and enterprise qualification information; S3, judging whether there is any vacant enterprise qualification information item in the enterprise qualification information, if yes, sending a first-level reminder signal, if no, not sending a reminder signal; S4. Compare the enterprise qualification information piece with the data standard, and determine whether the enterprise qualification information piece of the same project directory meets the data standard. If yes, no reminder signal is sent; if no, a secondary reminder signal is sent; S5. Calculate the evaluation value q of each project directory l And the total evaluation value F of the evaluation type, where l is the number of the project directory of the evaluation type.

Images