CN116433052B - Intelligent bidding information acquisition data analysis and evaluation system - Google Patents

Intelligent bidding information acquisition data analysis and evaluation system Download PDF

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CN116433052B
CN116433052B CN202310700980.5A CN202310700980A CN116433052B CN 116433052 B CN116433052 B CN 116433052B CN 202310700980 A CN202310700980 A CN 202310700980A CN 116433052 B CN116433052 B CN 116433052B
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bidding
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CN116433052A (en
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张春梅
彭健
李勇
王宁
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Dingxin Digital Intelligence Technology Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/08—Auctions
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention relates to the field of bid information data analysis, in particular to an intelligent bid information acquisition data analysis evaluation system. According to the method, the advertisement content text of the to-be-evaluated bid document is analyzed, and the bid advertisement information of the to-be-evaluated bid document is evaluated to accord with the evaluation coefficient, so that the difficulty and cost for a bidder to acquire information are effectively reduced, the enthusiasm of the bidder to participate in bidding activities is improved, the number of bidders of bidding projects is ensured not to be influenced, and the progress of the overall bidding activities of the bidding projects is further promoted. Meanwhile, bidding information of each bidder is obtained, the bidding qualification meeting index of each bidder is analyzed, the number of bidders meeting the bidding qualification is further obtained, the bidding expected effect meeting index corresponding to the bidding document to be evaluated is analyzed, feedback processing is carried out, accordingly, bidding activities can reach expected effects, bidding efficiency and bidding project quality are improved, and market demands of bidding parties are met.

Description

Intelligent bidding information acquisition data analysis and evaluation system
Technical Field
The invention relates to the field of bid information data analysis, in particular to an intelligent bid information acquisition data analysis evaluation system.
Background
The electronic bidding is a bidding activity of all or part completed by using data telegrams as a main carrier and applying an electronic means. Electronic bidding plays a great role in promoting project establishment by virtue of unique advantages such as low cost, high efficiency and the like. Therefore, various electronic bidding systems have been developed to realize the complete flow of bidding and bidding activities for both bidding parties on line.
The current bidding system is characterized in that a bidding person publishes a bid-posting file on a platform, then a bidding person completes all processes of bidding activities through the platform, but after the bidding person publishes the bid-posting file, the current technology does not collect and audit content information of the bid-posting file, and the problems of nonstandard content, unreasonable duration, inconsistent budget amount and the like of the bid-posting file exist, so that the difficulty and cost of information acquisition of the bidding person are increased, the bidding person needs to spend more time and energy to understand bidding details, the enthusiasm of the bidding person to participate in the bidding activities is reduced, the number of bidding persons of the bidding items is reduced, and the progress of the whole bidding activities of the bidding items is further influenced.
In the prior art, the bid-bidding qualification auditing in the bidding stage is generally audited through manual processing, and due to the complicated bidding qualification auditing process, the manual processing may cause the omission of part of the auditing process and the consumption of time cost and labor cost, and moreover, the manual processing is inevitably influenced by subjective factors of personnel, so that the auditing result is difficult to objectively and accurately match with the bidding project, thereby reducing the standardization and systemization level and transparency of bidding information.
Meanwhile, the bidding activities are stopped after the bidding stage is finished in the prior art, but the problem that expected effects of the bidding activities are not up to standard due to insufficient number of bidders exists, so that phenomena of unfairness, inaccuracy and nonstandard bidding activities occur, bidding efficiency and bidding project quality are further affected, and market demands of bidding parties cannot be met.
Disclosure of Invention
Aiming at the problems, the invention aims to provide an intelligent bidding information acquisition data analysis and evaluation system, which effectively solves the problems mentioned in the background art.
The technical scheme adopted for solving the technical problems is as follows: the invention provides an intelligent bidding information acquisition data analysis and evaluation system, which comprises the following components: the bid-posting file acquisition module is used for acquiring the scanning pictures of the bid-posting files to be evaluated and extracting the advertising content text of the bid-posting files to be evaluated.
The bid advertisement information analysis module is used for analyzing the advertisement content text of the bid file to be evaluated to obtain the content standardization of the bid file to be evaluatedReasonable degree of duration->And budget amount compliance +>。
The bid information coincidence evaluation module is used for evaluating the bid announcement information coincidence evaluation coefficient of the bid file to be evaluatedIf->Less than preset bid announcement information meeting evaluation coefficient threshold +.>And if the bidding advertisement information does not accord with the early warning, executing a bidding information acquisition module of the bidder.
And the early warning display terminal is used for receiving and displaying the sign announcement information which does not accord with the early warning.
And the bidding information acquisition module is used for acquiring bidding information of each bidding person in the bidding stage of the bidding document to be evaluated.
The bidding competitive bidding qualification analysis module is used for analyzing the competitive bidding qualification coincidence index of each bidding consumer and counting the number of the bidding consumer which the competitive bidding qualification is coincided with.
And the bid expected effect feedback module is used for analyzing the bid expected effect standard index corresponding to the bid file to be evaluated and carrying out feedback processing.
The bidding information base is used for storing standard character feature data and standard picture feature data of each edition in the bidding document template, storing economic association information of each region, and reference personnel wages and reference GDP values corresponding to each grading region, and storing bidding qualification meeting weight indexes of each reputation rating.
Preferably, the content specification parsing method of the to-be-evaluated bidding document includes: distinguishing the advertising content text of the to-be-evaluated bidding document according to the typesetting format corresponding to the set bidding document template, obtaining advertising content text of each section corresponding to the to-be-evaluated bidding document, and further identifying text feature data and picture feature data of each section, wherein the text feature data comprises fonts, word sizes and line spacing, and the picture feature data comprises total picture quantity and types and sizes of each picture.
Extracting standard character feature data and standard picture feature data of each edition in a bid file template stored in a bid information base, comparing the character feature data and picture feature data of each edition with corresponding standard character feature data and standard picture feature data respectively to obtain character feature specification coefficients and picture feature specification coefficients of each edition, and marking the character feature specification coefficients and the picture feature specification coefficients as，/>，/>Numbering each section.
Analyzing to obtain content standardization of the bid-inviting file to be evaluatedWherein->，/>For the +.>Content corresponding to each print blockIs a weight factor of (a).
Preferably, the reasonable time length resolution mode of the bid-to-be-evaluated bidding document includes: extracting bid units, bid time length and bid time length in a bid content text of a to-be-evaluated bid file, extracting the bid content text of each reference bid file from a bid unit background of the to-be-evaluated bid file, comparing the bid of the to-be-evaluated bid file with the bid of each reference bid file to obtain the similarity of the to-be-evaluated bid file and the bid of each reference bid file, screening each reference bid file exceeding a preset bid similarity threshold, and taking the reference bid file as each designated bid file.
Extracting advertisement content text of each designated advertisement file from advertisement content text of each reference advertisement file, and extracting advertisement duration and bidding duration of each designated advertisement file from the advertisement content text of each reference advertisement file, which are respectively marked as，/>，/>A number of the bidding document is assigned to each.
Screening the shortest bidding time according to bidding time and bidding time of each designated bidding fileMaximum bid time length->Minimum bid duration->And maximum bid duration +.>Analyzing to obtain reasonable length of time of the bid-inviting file to be evaluated>Wherein->In the formula->In order to set the constant value of the constant,，/>，/>the bid time and the bid time of the bid-tendering file to be evaluated are respectively.
Preferably, the analyzing method for the budget amount coincidence degree of the bid-to-be-evaluated bidding document comprises the following steps: extracting budget amount from bulletin content text of each designated bidding document, and recording it asExtracting budget amount and project related areas of the bid document to be evaluated according to the advertising content text of the bid document to be evaluated, extracting economic association information of each area stored in a bid information base, screening the economic association information of the area related to the project corresponding to the bid document to be evaluated, wherein the economic association information comprises actual personnel wages, actual GDP values and area grades, and analyzing economic level influence factors of the area related to the project。
Budget amount of bidding document to be evaluatedSubstitution budget amount coincidence resolution formulaObtaining the budget amount compliance degree of the bid-to-be-evaluated file>In the formula->Allowable error value for budget amount of a set bidding document, +.>To specify the number of bidding documents.
Preferably, the economic level influence factor analysis mode of the project related region is as follows: according to the set economic level influence weight factors corresponding to the grading areas, the economic level influence weight factors corresponding to the grading areas of the related areas of the screening item are recorded asAnd extracting reference average wages and reference GDP values corresponding to the hierarchical regions of the project-related regions from the bidding information base, respectively designated +.>、/>。
The extraction project relates to the actual average wages of the regionAnd actual GDP value->Analysis item relates to economic level influencing factor of the region +.>In the formula->And the economic level influence weights corresponding to the set regional average wages and regional GDP values are respectively set.
Preferably, the bid announcement information of the to-be-evaluated bid document conforms to an evaluation coefficient evaluation formula as followsIn the formula->Is natural constant (18)>And respectively corresponding evaluation weight factors of the preset bidding document content standardization, the preset time length rationality and the preset budget amount compliance.
Preferably, the bid information includes a reputation rating, historical bid item information and bid document content text, wherein the historical bid item information includes an actual completion rule number, a customer satisfaction score and a planning rule number for each accepted bid item over a set historical period of time.
Preferably, the competitive bidding qualification meeting index analysis mode of each bidder is as follows: according to the historical bidding project information of each bidder, the completion degree and the customer satisfaction degree of each bidder for supporting the bidding project in the set historical time period are obtained, the lowest completion degree, the highest completion degree and the average customer satisfaction degree of each bidder for supporting the bidding project in the set historical time period are obtained through comparison screening, and are respectively marked as，/>，/>Numbering for each bidder +.>The number of bidders is used, the planning rule quantity of each received bid item in the set historical time period is extracted from the historical bid item information of each bidder, and the maximum planning rule quantity of each bidder received bid item in the set historical time period is screened out>Analyzing historical performance symbols corresponding to each bidderWeight index of combination->Wherein。
Extracting bidding document content text of each bidder, comparing the bidding document content text with the advertising content text of the bidding document to be evaluated, counting the number meeting bidding requirements in the bidding document content text of each bidder, identifying the bid amount from the bidding document content text of each bidder, and marking the bid amount as the bid amount。
Extracting bidding qualification coincidence weight index of each reputation rating in the bidding information base, and screening to obtain bidding qualification coincidence weight index of each bidding person corresponding to reputation ratingAnalyzing the competitive qualification compliance index of each bidderIn the formula->Is->The bidding document content text of the bidder meets the bidding requirement number and is->The total number of bidding requirements is specified for the advertising content text of the bidding document to be evaluated.
Preferably, the bidding expected effect feedback module specifically includes the following: according to the number of bidders meeting the bid qualificationAnalyzing standard index of expected bidding effect of bidding document to be evaluated>In the formula->And if the standard reaching index of the bidding expected effect corresponding to the bidding document to be evaluated is smaller than the set standard reaching index threshold of the bidding expected effect, feeding back to a contact terminal of the bidding person corresponding to the bidding document to be evaluated.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the method and the device for analyzing the advertisement content text of the bid document to be evaluated, the content standardization, the duration rationality and the budget amount conformity of the bid document to be evaluated are obtained, so that the problems that the content of the bid document is not standardized, the duration is unreasonable, the budget amount is not conforming and the like are effectively avoided, and guiding reference data are provided for later evaluation of the compliance of the bid advertisement information with the evaluation coefficient.
(2) According to the invention, the bid advertisement information of the bid document to be evaluated is evaluated to accord with the evaluation coefficient, and the comparison processing operation is carried out, so that the difficulty and cost for the bidder to acquire the information are effectively reduced, the problem that the bidder spends more time and energy in understanding bid details is avoided, the enthusiasm of the bidder in participating in bid-bidding activities is further improved, the bid number of the bid-bidding project is ensured not to be influenced, and the progress of the whole bid-bidding activities of the bid-bidding project is further promoted.
(3) According to the invention, bidding information of each bidder is obtained, and bidding qualification of each bidder is analyzed to accord with the index, so that the problem of omission of an auditing process can be effectively avoided, meanwhile, the influence of subjective factors of personnel can be avoided, the objective and accurate matching degree of auditing results and bidding projects can be further increased, and the standardization and systemization level and transparency of bidding information are improved.
(4) According to the bidding competitive number of the bidders meeting the bidding qualification, the bidding expected effect standard index corresponding to the bidding documents to be evaluated is analyzed, and feedback processing is carried out, so that the bidding activities can reach the expected effect, unfair, inaccurate and nonstandard phenomena of the bidding activities are effectively avoided, the bidding efficiency and the bidding project quality are improved, and the market demands of bidding parties are further met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an intelligent bidding information acquisition data analysis and evaluation system, which comprises a bidding file acquisition module, a bidding announcement information analysis module, a bidding information coincidence evaluation module, an early warning display terminal, a bidder bidding information acquisition module, a bidder bidding qualification analysis module, a bidding expected effect feedback module and a bidding information base. The connection relation between the modules is as follows: the bidding document acquisition module is connected with the bidding bulletin information analysis module, the bidding information coincidence evaluation module is respectively connected with the bidding bulletin information analysis module, the early warning display terminal and the bidder bidding information acquisition module, the bidder bidding information acquisition module is connected with the bidder bidding qualification analysis module, the bidder bidding qualification analysis module is connected with the bidding expected effect feedback module, and the bidding information base is respectively connected with the bidding bulletin information analysis module and the bidder bidding qualification analysis module.
The bid-posting-file acquisition module is used for acquiring a scanning picture of the bid-posting file to be evaluated, and extracting the advertising content text of the bid-posting file to be evaluated through a picture character recognition technology.
The bid advertisement information analysis module is used for analyzing advertisement content text of the bid file to be evaluated to obtain content standardization of the bid file to be evaluatedReasonable degree of duration->And budget amount compliance +>。
On the basis of the above embodiment, the content standardization parsing method of the to-be-evaluated bidding document includes: distinguishing the advertising content text of the to-be-evaluated bidding document according to the typesetting format corresponding to the set bidding document template, obtaining advertising content text of each section corresponding to the to-be-evaluated bidding document, and further identifying text feature data and picture feature data of each section, wherein the text feature data comprises fonts, word sizes and line spacing, and the picture feature data comprises total picture quantity and types and sizes of each picture.
Extracting standard character feature data and standard picture feature data of each edition in a bid file template stored in a bid information base, comparing the character feature data and picture feature data of each edition with corresponding standard character feature data and standard picture feature data respectively to obtain character feature specification coefficients and picture feature specification coefficients of each edition, and marking the character feature specification coefficients and the picture feature specification coefficients as，/>，/>Numbering each section.
Analyzing to obtain content standardization of the bid-inviting file to be evaluatedWherein->，/>For the +.>The individual sections correspond to the weight factors of the content.
Further, the text feature specification coefficient and the picture feature specification coefficient of each edition are obtained by the following steps: extracting standard fonts, standard font sizes and standard line spaces in standard text feature data of each plate in a bidding document template, comparing the fonts of each plate corresponding to the bidding document to be evaluated with the standard fonts of the plate corresponding to the plate, and if the fonts of a plate are the same as the standard fonts of the plate corresponding to the plate, setting the font matching factor of the plate asIf the font of a certain plate is different from the standard font of the corresponding plate, the font matching factor of the plate is +.>Counting font matching factors of corresponding sections of the bid-inviting file to be evaluated>Wherein->Similarly, obtaining word size matching factors of corresponding sections of the bid amount file to be evaluated>And line space matching factor->Analyzing and obtaining character characteristic standard coefficient of each edition。
In a specific embodiment, when the font of a certain plate is the same as the standard font of the corresponding plate, the font matching factor of the plate is 1, and if the font of the certain plate is different from the standard font of the corresponding plate, the font matching factor of the plate is 0.
Extracting standard picture types and standard picture sizes in standard picture feature data of all sections in a bidding document template, comparing the types of the pictures in all sections corresponding to the bidding document to be evaluated with the standard picture types of the sections corresponding to the pictures, screening the number of the pictures in all sections, which are the same as the standard picture types, and marking the number of the pictures as the number of the pictures of the same type corresponding to all sectionsThe same size picture number corresponding to each plate is screened in the same way>Further analyze the picture characteristic standard coefficient of each editionIn the formula->Corresponding to the bid document to be evaluated +.>Total number of tiles for each layout.
On the basis of the above embodiment, the reasonable time length resolution method of the to-be-evaluated bid-bidding document includes: extracting bid units, bid time length and bid time length in a bid content text of a to-be-evaluated bid file, extracting the bid content text of each reference bid file from a bid unit background of the to-be-evaluated bid file, comparing the bid of the to-be-evaluated bid file with the bid of each reference bid file to obtain the similarity of the to-be-evaluated bid file and the bid of each reference bid file, screening each reference bid file exceeding a preset bid similarity threshold, and taking the reference bid file as each designated bid file.
It should be explained that, the similarity analysis mode of the bid amount of the to-be-evaluated bid amount file and the bid amount of each reference bid amount file is as follows: comparing the bid amount of the to-be-evaluated bid amount file with the bid amount of a certain reference bid amount file, extracting the keywords of the bid amount of the reference bid amount file, and forming a keyword set of the bid amount of the reference bid amount fileAnd extracting keyword set of bid for bid file to be evaluated>Analyzing the similarity of the bidding document to be evaluated and the bidding of the reference bidding document, wherein +.>In the formula->The number of keywords in the keyword set of the bid for the reference bid document is the same as the number of keywords in the keyword set of the bid for the bid document to be evaluated, +.>And counting the total number of keywords in the keyword set of the bid of the reference bid file and the keyword set of the bid of the to-be-evaluated bid file, and further counting the similarity of the to-be-evaluated bid file and the bid of each reference bid file.
Extracting advertisement content text of each designated advertisement file from advertisement content text of each reference advertisement file, and extracting advertisement duration and bidding duration of each designated advertisement file from the advertisement content text of each reference advertisement file, which are respectively marked as，/>，/>A number of the bidding document is assigned to each.
Screening the shortest bidding time according to bidding time and bidding time of each designated bidding fileMaximum bid time length->Minimum bid duration->And maximum bid duration +.>Analyzing to obtain reasonable length of time of the bid-inviting file to be evaluated>Wherein->In the formula->In order to set the constant value of the constant,，/>，/>the bid time and the bid time of the bid-tendering file to be evaluated are respectively.
On the basis of the above embodiment, the analyzing method for the budget amount coincidence degree of the bid-to-be-evaluated bidding document includes: bulletin from each designated bidding documentExtracting the budget amount from the content text and recording it asExtracting budget amount and project related areas of a bid document to be evaluated according to the advertising content text of the bid document to be evaluated, extracting economic association information of each area stored in a bid information base, screening the economic association information of the area related to the project corresponding to the bid document to be evaluated, wherein the economic association information comprises actual personnel wages, actual GDP values and area grades, analyzing economic level influence factors of the area related to the project>。
As a specific embodiment of the present invention, the analysis mode of the economic level influence factor of the region related to the project is as follows: according to the set economic level influence weight factors corresponding to the grading areas, the economic level influence weight factors corresponding to the grading areas of the related areas of the screening item are recorded asAnd extracting reference average wages and reference GDP values corresponding to the hierarchical regions of the project-related regions from the bidding information base, respectively designated +.>、/>。
The extraction project relates to the actual average wages of the regionAnd actual GDP value->Analysis item relates to economic level influencing factor of the region +.>In the formula->And the economic level influence weights corresponding to the set regional average wages and regional GDP values are respectively set.
Budget amount of bidding document to be evaluatedSubstitution budget amount coincidence resolution formulaObtaining the budget amount compliance degree of the bid-to-be-evaluated file>In the formula->Allowable error value for budget amount of a set bidding document, +.>To specify the number of bidding documents.
It should be noted that, the invention analyzes the notice content text of the to-be-evaluated bid document to obtain the content standardization, the time length rationality and the budget amount conformity of the to-be-evaluated bid document, thereby effectively avoiding the problems of irregular content, unreasonable time length, and inconsistent budget amount of the bid document, and providing guiding reference data for the post-evaluation bid notice information conformity evaluation coefficient.
The bid information coincidence evaluation module is used for evaluating the bid announcement information coincidence evaluation coefficient of the bid file to be evaluatedIf->Less than preset bid announcement information meeting evaluation coefficient threshold +.>Sending out sign announcement information which does not accord with the early warning, otherwiseAnd executing the bidder bid information acquisition module.
On the basis of the above embodiment, the bid announcement information of the to-be-evaluated bid document conforms to an evaluation coefficient evaluation formula as followsIn the formula->Is natural constant (18)>And respectively corresponding evaluation weight factors of the preset bidding document content standardization, the preset time length rationality and the preset budget amount compliance.
And the early warning display terminal is used for receiving and displaying the sign announcement information which does not accord with the early warning.
It should be noted that, the bid advertisement information of the bid document to be evaluated is evaluated to conform to the evaluation coefficient, and the comparison processing operation is executed, so that the difficulty and cost of acquiring information by a bidder are effectively reduced, the problem that the bidder spends more time and energy in understanding bid details is avoided, the enthusiasm of the bidder in participating in bid-bidding activities is further improved, the bidder of the bid-bidding project is ensured not to be influenced, and the progress of the whole bid-bidding activities of the bid-bidding project is further promoted.
And the bidding information acquisition module is used for acquiring bidding information of each bidder in the bidding stage of the bidding document to be evaluated.
On the basis of the embodiment, the bid information comprises credit rating, historical bid item information and bid file content text, wherein the historical bid item information comprises actual completion rule quantity, customer satisfaction degree score and planning rule quantity of each accepted bid item in a set historical time period.
It should be explained that the reputation rating is a class of the bidder credit classified by a credit evaluation organization, such as a bank, according to the bidder credit evaluation result, and reflects the level of the bidder credit.
The bidding qualification analysis module is used for analyzing the bidding qualification coincidence index of each bidding person and counting the number of the bidding persons which are coincided with the bidding qualification.
Based on the above embodiment, the competitive bidding qualification compliance index analysis method of each bidder is as follows: according to the historical bidding project information of each bidder, the completion degree and the customer satisfaction degree of each bidder for supporting the bidding project in the set historical time period are obtained, the lowest completion degree, the highest completion degree and the average customer satisfaction degree of each bidder for supporting the bidding project in the set historical time period are obtained through comparison screening, and are respectively marked as，/>，/>Numbering for each bidder +.>The number of bidders is used, the planning rule quantity of each received bid item in the set historical time period is extracted from the historical bid item information of each bidder, and the maximum planning rule quantity of each bidder received bid item in the set historical time period is screened out>Analyzing historical performance coincidence weight index corresponding to each bidding person>Wherein。
Extracting bidding document content text of each bidder, comparing the bidding document content text with the advertising content text of the bidding document to be evaluated, counting the number meeting bidding requirements in the bidding document content text of each bidder, identifying the bid amount from the bidding document content text of each bidder, and marking the bid amount as the bid amount。
It should be explained that, the number acquisition mode meeting the bidding requirement in the bidding document content text of each bidder is as follows: extracting the associated keyword set of each bidding requirement in the bidding document content text of each bidder, extracting the keyword set of each bidding requirement in the advertising content text of the bidding document to be evaluated, analyzing the similarity of the associated keyword set of each bidding requirement in the bidding document content text of each bidder and the keyword set corresponding to the bidding requirement in the advertising content text of the bidding document to be evaluated, calculating the similarity of the formula reference bidding document to each reference bidding document in the above description, comparing the similarity of the associated keyword set of each bidding requirement in the bidding document content text of each bidder and the keyword set corresponding to the bidding requirement in the advertising content text of the bidding document to be evaluated with the set keyword similarity, and counting the number larger than the set keyword similarity as the number meeting the bidding requirement in the bidding document content text of each bidder.
Extracting bidding qualification coincidence weight index of each reputation rating in the bidding information base, and screening to obtain bidding qualification coincidence weight index of each bidding person corresponding to reputation ratingAnalyzing the competitive qualification compliance index of each bidderIn the formula->Is->The bidding document content text of the bidder meets the bidding requirement number and is->Total bid requirement in bulletin content text of bid document to be evaluatedNumber of parts.
Further, the completion degree of each received bid item of each bidder in the set history period is obtained by the formula。
The customer satisfaction degree obtaining formula of each bidding person for receiving bidding items in the set historical time period is as follows。
It should be noted that, the bidding qualification of each bidder is analyzed to conform to the index by acquiring the bidding information of each bidder, so that the problem of omission of the auditing process can be effectively avoided, meanwhile, the influence of subjective factors of personnel can be avoided, the objective and accurate matching degree of the auditing result and the bidding project can be further increased, and the standardization and systemization level and transparency of the bidding information are improved.
And the bidding expected effect feedback module is used for analyzing the bidding expected effect standard index corresponding to the bidding document to be evaluated and carrying out feedback processing.
On the basis of the embodiment, the bidding expected effect feedback module specifically includes the following: according to the number of bidders meeting the bid qualificationAnalyzing standard index of expected bidding effect corresponding to bidding document to be evaluatedIn the formula->The minimum standard-reaching bidding number corresponding to the preset bidding document to be evaluated is set, the standard-reaching index of the bidding expected effect corresponding to the bidding document to be evaluated is compared with the set standard-reaching index threshold of the bidding expected effect, and if the standard-reaching index of the bidding expected effect corresponding to the bidding document to be evaluated is smaller than the set standard-reaching index threshold of the bidding expected effect, the standard-reaching index is fed back to the bidding document to be evaluatedAnd a contact terminal corresponding to the signer.
The bidding information base is used for storing standard character feature data and standard picture feature data of each section in the bidding document template, storing economic association information of each region, and reference personnel balance wages and reference GDP values corresponding to each grading region, and storing bidding qualification of each reputation rating to accord with the weight index.
The bidding system and the bidding method analyze the bidding expected effect standard index corresponding to the bidding documents to be evaluated according to the number of bidders meeting bidding qualification, and perform feedback processing, so that the bidding activities can reach the expected effect, unfair, inaccurate and nonstandard phenomena of the bidding activities are effectively avoided, bidding efficiency and bidding project quality are improved, and market demands of bidding parties are further met.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.

Claims (2)

1. An intelligent bidding information acquisition data analysis and evaluation system, which is characterized by comprising:
the bid-posting file acquisition module is used for acquiring a scanning picture of the bid-posting file to be evaluated and extracting the advertising content text of the bid-posting file to be evaluated;
the bid advertisement information analysis module is used for analyzing the advertisement content text of the bid file to be evaluated to obtain the content standardization of the bid file to be evaluatedReasonable degree of duration->And budget amount compliance +>；
The bid information coincidence evaluation module is used for evaluating the bid announcement information coincidence evaluation coefficient of the bid file to be evaluatedIf (if)Less than preset bid announcement information meeting evaluation coefficient threshold +.>If the bidding advertisement information does not accord with the early warning, executing a bidding information acquisition module of the bidder;
the early warning display terminal is used for receiving and displaying the sign announcement information which does not accord with the early warning;
the bidding information acquisition module is used for acquiring bidding information of each bidding person in the bidding stage of the bidding document to be evaluated;
the bidding person bidding qualification analysis module is used for analyzing the bidding qualification coincidence index of each bidding person and counting the number of the bidding persons which are in accordance with the bidding qualification;
the bid expected effect feedback module is used for analyzing the bid expected effect standard index corresponding to the bid file to be evaluated and carrying out feedback processing;
the bidding information base is used for storing standard word characteristic data and standard picture characteristic data of each edition in the bidding file template, storing economic association information of each region, and reference personnel wages and reference GDP values corresponding to each grading region, and storing bidding qualification meeting weight indexes of each reputation rating;
the content standardization analysis mode of the to-be-evaluated bid-inviting file comprises the following steps: distinguishing the advertising content text of the to-be-evaluated bidding document according to the typesetting format corresponding to the set bidding document template to obtain advertising content text of each section corresponding to the to-be-evaluated bidding document, and further identifying text feature data and picture feature data of each section, wherein the text feature data comprises fonts, word sizes and line spacing, and the picture feature data comprises total picture quantity and types and sizes of each picture;
extracting standard character feature data and standard picture feature data of each edition in a bid file template stored in a bid information base, comparing the character feature data and picture feature data of each edition with corresponding standard character feature data and standard picture feature data respectively to obtain character feature specification coefficients and picture feature specification coefficients of each edition, and marking the character feature specification coefficients and the picture feature specification coefficients as，/>，/>Numbering each plate;
analyzing to obtain content standardization of the bid-inviting file to be evaluatedWherein->，/>For the +.>The weight factors of the corresponding content of the sections;
the reasonable time length resolution mode of the bid-to-be-evaluated bidding document comprises the following steps: extracting bid units, bid time length and bid time length in a bid content text of a to-be-evaluated bid file, extracting the bid content text of each reference bid file from a bid unit background of the to-be-evaluated bid file, comparing the bid of the to-be-evaluated bid file with the bid of each reference bid file to obtain the similarity of the to-be-evaluated bid file and the bid of each reference bid file, screening each reference bid file exceeding a preset bid similarity threshold, and taking the reference bid file as each designated bid file;
extracting advertisement content text of each designated advertisement file from advertisement content text of each reference advertisement file, and extracting advertisement duration and bidding duration of each designated advertisement file from the advertisement content text of each reference advertisement file, which are respectively marked as，/>，/>A number of the bidding document is specified for each;
screening the shortest bidding time according to bidding time and bidding time of each designated bidding fileMaximum bid timeMinimum bid duration->And maximum bid duration +.>Analyzing to obtain reasonable time length of the bid-inviting file to be evaluatedWherein->In the formula->To set constant +.>，，/>The bid time and the bid time of the bid-tendering file to be evaluated are respectively;
the analysis mode of the budget amount coincidence degree of the bid-to-be-evaluated bidding document comprises the following steps: extracting budget amount from bulletin content text of each designated bidding document, and recording it asExtracting budget amount and project related areas of a bid document to be evaluated according to the advertising content text of the bid document to be evaluated, extracting economic association information of each area stored in a bid information base, screening the economic association information of the area related to the project corresponding to the bid document to be evaluated, wherein the economic association information comprises actual personnel wages, actual GDP values and area grades, analyzing economic level influence factors of the area related to the project>；
Budget amount of bidding document to be evaluatedSubstitution budget amount coincidence resolution formulaObtaining the budget amount compliance degree of the bid-to-be-evaluated file>In the formula->Allowable error value for budget amount of a set bidding document, +.>Specifying the number of bidding documents;
the bid announcement information of the to-be-evaluated bid document accords with an evaluation coefficient evaluation formula as followsIn the formula->Is natural constant (18)>Respectively corresponding evaluation weight factors of the content standardization degree, the time length rationality degree and the budget amount conformity degree of the preset bidding documents;
the bid information comprises credit rating, historical bid item information and bid file content text, wherein the historical bid item information comprises actual completion rule quantity, customer satisfaction degree score and planning rule quantity of each accepted bid item in a set historical time period; the competitive bidding qualification coincidence index analysis mode of each competitive bidding person is as follows: according to the historical bid item information of each bidder, the completion degree and the customer satisfaction degree of each bidder for supporting the bid item in the set historical time period are obtained, the lowest completion degree, the highest completion degree and the average customer satisfaction degree of each bidder for supporting the bid item in the set historical time period are obtained through comparison screening, and are respectively recorded as，/>，/>Numbering for each bidder +.>Is the number of bidders, andextracting the planning rule quantity of each received bid item in the set historical time period from the historical bid item information of each bidder, and screening the maximum planning rule quantity of each bidder received bid item in the set historical time period>Analyzing historical performance coincidence weight index corresponding to each bidding person>Wherein->；
Extracting bidding document content text of each bidder, comparing the bidding document content text with the advertising content text of the bidding document to be evaluated, counting the number meeting bidding requirements in the bidding document content text of each bidder, identifying the bid amount from the bidding document content text of each bidder, and marking the bid amount as the bid amount；
Extracting bidding qualification coincidence weight index of each reputation rating in the bidding information base, and screening to obtain bidding qualification coincidence weight index of each bidding person corresponding to reputation ratingAnalyzing the competitive qualification compliance index of each bidderIn the formula->Is->The bidding document content text of the bidder meets the bidding requirement number and is->The total number of bid requirements in the advertisement content text of the bid document to be evaluated;
the bid expected effect feedback module specifically comprises the following contents: according to the number of bidders meeting the bid qualificationAnalyzing standard index of expected bidding effect of bidding document to be evaluated>In the formula->And if the standard reaching index of the bidding expected effect corresponding to the bidding document to be evaluated is smaller than the set standard reaching index threshold of the bidding expected effect, feeding back to a contact terminal of the bidding person corresponding to the bidding document to be evaluated.
2. The intelligent bidding information acquisition data analysis and evaluation system according to claim 1, wherein the system comprises the following components: the analysis mode of the economic level influence factors of the areas related to the project is as follows:
according to the set economic level influence weight factors corresponding to the grading areas, the economic level influence weight factors corresponding to the grading areas of the related areas of the screening item are recorded asAnd extracting reference average wages and reference GDP values corresponding to the hierarchical regions of the project-related regions from the bidding information base, respectively designated +.>、/>；
The extraction project relates to the actual average wages of the regionAnd actual GDP value->Analysis item relates to economic level influencing factor of the region +.>In the formula->And the economic level influence weights corresponding to the set regional average wages and regional GDP values are respectively set.
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