Real-time bidding and tendering data intelligent analysis system and method

Abstract

The invention provides a real-time bidding and tendering data intelligent analysis system and method, and relates to the technical field of data analysis and bidding and tendering, and the system comprises a data collection module which is responsible for obtaining data from a plurality of bidding and tendering platforms in real time; the data preprocessing module cleans the received data and removes repeated, abnormal and incomplete data records; the index calculation module calculates a bidding activeness index, a price rationality index and an enterprise competitiveness index of a bidder based on the preprocessed data; the comprehensive evaluation module obtains a comprehensive evaluation index of each bidding party by using a preset evaluation model according to the indexes; and finally, deeply analyzing the comprehensive evaluation index by a visual analysis module, and displaying the ranking of each bidding party through a visual tool. According to the method, the data analysis efficiency and the decision support capability in the bidding and tendering process are improved, and better service experience and economic benefits are provided for all parties participating in bidding and tendering.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis and bidding, and in particular to a real-time bidding data intelligent analysis system and method. Background Art

[0002] With the development of the market economy and the continuous improvement of the bidding system, bidding activities have become more and more frequent and important in various fields. Bidding, as a fair, just and open procurement method, aims to select the most suitable supplier or contractor to achieve the optimal goal of the project.

[0003] In the past few decades, the bidding field has experienced rapid development. From the initial paper-based bidding to the current widespread application of electronic bidding platforms, the advancement of information technology has brought higher efficiency and transparency to bidding activities. At the same time, with the intensification of market competition, enterprises have an increasing demand for data analysis and decision support in the bidding process.

[0004] However, there are still some problems with the existing bidding data analysis technology. Traditional data analysis methods are often too simple to fully and accurately evaluate the comprehensive strength and competitiveness of bidders. For example, they only rely on bid prices to judge the pros and cons of bidders, while ignoring important factors such as the company's technical strength, reputation and past performance. In addition, existing technologies also have deficiencies in indicator calculation and comprehensive evaluation, making it difficult for the tendering party to conduct a comprehensive and objective evaluation of the bidder, which can easily lead to decision-making errors. Summary of the invention

[0005] The present invention provides a real-time bidding data intelligent analysis system and method, which can solve the problems of difficult data collection, unreasonable indicator calculation, and inaccurate comprehensive evaluation in the prior art, provide more scientific and accurate decision support for all parties involved in bidding, and improve the efficiency and fairness of the bidding market.

[0006] In one aspect, the present invention provides a real-time bidding data intelligent analysis system, comprising:

[0007] A data collection module, which is used to collect bidding data from several bidding platforms in real time;

[0008] A data preprocessing module, which is connected to the data collection module and is used to clean the collected bidding data and remove duplicate data, abnormal values ​​and incomplete data;

[0009] An index calculation module, which is connected to the data preprocessing module and is used to calculate the bidding activity index, price rationality index and enterprise competitiveness index of each bidder;

[0010] A comprehensive evaluation module, which is connected to the index calculation module and is used to substitute various indexes into a pre-set evaluation model to calculate the comprehensive evaluation index of each bidder;

[0011] The visualization analysis module is connected to the comprehensive evaluation module and is used to conduct an in-depth analysis of the comprehensive evaluation index of each bidder and to rank and display the bidders through visualization tools.

[0012] According to a real-time bidding data intelligent analysis system provided by the present invention, the data collection module includes:

[0013] A data capture unit is used to actively capture bidding data from various bidding platforms;

[0014] The bidding data include the number of enterprises participating in the bidding, the total number of potential bidding enterprises, the bidding price of each bidder, the price range set by the tenderer, and the basic information, past bidding information and technical strength information of each bidder;

[0015] A data transmission unit is connected to the data capture unit and is used to transmit the captured data to the data preprocessing module safely and stably.

[0016] According to a real-time bidding data intelligent analysis system provided by the present invention, the data preprocessing module includes:

[0017] a duplicate data identification unit, which is connected to the data transmission unit and is used to identify duplicate data in the collected bidding data;

[0018] an abnormal value detection unit, connected to the data transmission unit, and configured to detect an existing abnormal value;

[0019] an incomplete data identification unit, connected to the data transmission unit, and used to mark the incomplete data;

[0020] A filtering processing unit is connected to the duplicate data identification unit, the abnormal value detection unit, and the incomplete data identification unit, and is used to remove or supplement duplicate data, abnormal values, and incomplete data in the bidding data.

[0021] According to a real-time bidding data intelligent analysis system provided by the present invention, the index calculation module includes:

[0022] A bidding activity calculation unit, which is used to calculate a bidding activity index according to the number of enterprises participating in the bidding and the total number of potential bidding enterprises;

[0023] A price rationality calculation unit, which is used to calculate the price rationality index of each bidder based on the bid price of each bidder and the price range set by the tenderer;

[0024] The enterprise competitiveness calculation unit determines the enterprise's technical strength score, enterprise reputation score and enterprise's past performance score based on the basic information, past bidding information and technical strength information of each bidder, and comprehensively analyzes the enterprise's competitiveness index.

[0025] According to a real-time bidding data intelligent analysis system provided by the present invention, the calculation process of the bidding activity calculation unit adopts the following calculation formula:

[0026]

[0027] Among them, BAI is the bidding activity index, K0 is the number of companies participating in the bidding, and K z The total number of potential bidders;

[0028] The bidding activity index BAI represents the activity level of the bidding market in a specific bidding project.

[0029] According to a real-time bidding data intelligent analysis system provided by the present invention, the calculation process of the price rationality calculation unit adopts the following calculation formula:

[0030]

[0031] Among them, i is the bidder enterprise index, PRI i is the price rationality index of bidder i, J i is the bid price of bidder i, J min , J max They are the lowest bid price and the highest bid price determined based on the price range set by the tenderer;

[0032] The Price Reasonableness Index PRI i Represents the reasonableness of the bid price of each bidder within the bidding scope.

[0033] According to a real-time bidding data intelligent analysis system provided by the present invention, the calculation process of the enterprise competitiveness calculation unit adopts the following calculation formula:

[0034]

[0035] Q i =(X i +Y i )*∈*Z i

[0036] A i =N i *(±C i )

[0037]

[0038] Among them, ECI i is the competitiveness index of bidder i, Q i is the technical strength score of bidder i, A i is the corporate reputation score of bidder i, D i is the past performance score of bidder i; ω1 is the technical weight, ω2 is the reputation weight, and ω3 is the performance weight;

[0039] X i is the number of high-quality patents owned by the enterprise, Y i is the average number of citations of enterprise patents, Z i is the proportion of enterprise R&D investment to operating income, ∈ is the empirical adjustment parameter used to adjust the coefficient enterprise technology strength score Q i The upper and lower limits of

[0040] N i is the year of operation of the enterprise, C i is the number of historical credit adjustments; and when C i ≥N i When ±C i Set to -C i ; When C i <N i When ±C i Set to +C i

[0041] E i is the number of similar projects participated in in the past, G e is the score corresponding to the acceptance result in the acceptance report of the historical project e; where the acceptance result is the deliverable time G e +1, when the acceptance result is undeliverable G e is -1;

[0042] The Enterprise Competitiveness Index (ECI) i Represents the overall competitive level of the bidders.

[0043] According to a real-time bidding data intelligent analysis system provided by the present invention, the evaluation model of the comprehensive evaluation module is:

[0044]

[0045] Among them, DLE i is the comprehensive evaluation score of bidder i, α, β, and γ are activity weight, rationality weight, and competitiveness weight respectively; S v is the score of the vth additional factor, m v For S v The corresponding coefficients;

[0046] log(1+BAI) represents the logarithmic processing of the bidding activity index to avoid excessive impact on the comprehensive evaluation when the activity is extremely high;

[0047] sqrt(PRI i ) represents the square root of the price rationality index, which is used to make the change of price rationality smoother;

[0048] It represents a fine-tuning of the enterprise competitiveness index, so that when the index is adjusted to a smaller value, there will be a more obvious distinction;

[0049] exp{∑(S v *m v )} represents the indexation of additional factors to highlight their importance.

[0050] According to a real-time bidding data intelligent analysis system provided by the present invention, the visual analysis module includes:

[0051] The evaluation and analysis unit is connected to the comprehensive evaluation module and is used to evaluate the comprehensive evaluation score of each bidder. i Conduct trend analysis and comparative analysis, and rank bidders based on the analysis results;

[0052] A visual display unit is connected to the evaluation and analysis unit and is used to display the ranking results of each bidder.

[0053] In another aspect, the present invention provides a real-time bidding data intelligent analysis method, comprising:

[0054] Step 1: collect bidding data from several bidding platforms in real time;

[0055] Step 2: Clean the collected bidding data to remove duplicate data, outliers, and incomplete data;

[0056] Step 3: Calculate the bidding activity index, price rationality index and enterprise competitiveness index of each bidder;

[0057] Step 4: Substitute each index into the pre-set evaluation model to calculate the comprehensive evaluation index of each bidder;

[0058] Step five: Conduct an in-depth analysis of the comprehensive evaluation index of each bidder and rank and display the bidders through visualization tools.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] Able to collect data from multiple bidding platforms in real time, and perform effective cleaning and preprocessing to remove duplicate, abnormal and incomplete data, ensure data quality and reliability, and provide an accurate basis for subsequent analysis;

[0061] By calculating multiple indicators such as the bidding activity index, price rationality index and enterprise competitiveness index, multiple aspects of the bidder are fully considered, avoiding the limitations of single indicator evaluation and making the comprehensive evaluation more scientific and accurate;

[0062] The innovative comprehensive evaluation model is used to calculate the comprehensive evaluation index, which provides the tenderer with a more scientific and accurate basis for decision-making, helping the tenderer to screen out suitable bidders more quickly and reduce decision-making risks;

[0063] Through the use of visualization tools, the comprehensive evaluation index is deeply analyzed and ranked, making the results more intuitive and easy to understand, which is convenient for the tenderer and bidder to understand and use, and improves the efficiency of information transmission;

[0064] It can more comprehensively and objectively evaluate the strength of bidders, promote fair competition in the bidding market, and improve the efficiency of market resource allocation;

[0065] It helps to improve the success rate and quality of bidding projects and reduce mistakes and waste of resources caused by incomplete information or inaccurate evaluation;

[0066] In summary, the present invention has significant advantages in the analysis of bidding data and decision support, and can bring better experience and benefits to all parties involved in bidding.

[0067] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0068] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0070] Figure 1 It is a structural diagram of a real-time bidding data intelligent analysis system provided by an embodiment of the present invention;

[0071] Figure 2 It is a flow chart of a real-time bidding data intelligent analysis method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0072] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0073] Embodiment 1:

[0074] This embodiment provides a real-time bidding data intelligent analysis system. Figure 1 ,include:

[0075] A data collection module, which is used to collect bidding data from several bidding platforms in real time;

[0076] The data preprocessing module is connected to the data collection module and is used to clean the collected bidding data and remove duplicate data, abnormal values ​​and incomplete data;

[0077] An index calculation module, which is connected to the data preprocessing module and is used to calculate the bidding activity index, price rationality index and enterprise competitiveness index of each bidder;

[0078] A comprehensive evaluation module, which is connected to the index calculation module and is used to substitute various indexes into a pre-set evaluation model to calculate the comprehensive evaluation index of each bidder;

[0079] The visualization analysis module is connected to the comprehensive evaluation module to conduct in-depth analysis of the comprehensive evaluation index of each bidder and to rank and display the bidders through visualization tools.

[0080] The principle of the above embodiment is: the data collection module collects bidding data in real time, and the data preprocessing module cleans the data to ensure the accuracy and completeness of the data. The index calculation module calculates the bidding activity index, price rationality index and enterprise competitiveness index, and the comprehensive evaluation module substitutes these indexes into the evaluation model to calculate the comprehensive evaluation index to comprehensively evaluate the comprehensive strength of the bidder. Finally, the visual analysis module analyzes and displays the comprehensive evaluation index to provide users with intuitive decision-making basis.

[0081] The beneficial effects of the above embodiments are: effectively removing duplicate, abnormal and incomplete data, ensuring the accuracy and reliability of data, and providing a solid foundation for subsequent analysis; comprehensively considering multiple indicators, being able to more comprehensively evaluate the strength of the bidder and avoiding the limitations of a single indicator; providing the tenderer with a scientific decision-making basis through comprehensive evaluation indexes and visual displays, helping it to select the most suitable bidder; making the bidding process more open and transparent, and promoting fair competition in the market; the automated data processing and analysis process greatly improves the efficiency of bidding work; and helps to achieve the optimal allocation of resources and improve the success rate and quality of projects.

[0082] In order to further optimize the above embodiment, the data collection module includes:

[0083] A data capture unit is used to actively capture bidding data from various bidding platforms;

[0084] The bidding data includes the number of enterprises participating in the bidding, the total number of potential bidding enterprises, the bidding price of each bidder, the price range set by the tenderer, as well as the basic information of each bidder, past bidding information and technical strength information;

[0085] The data transmission unit is connected to the data capture unit and is used to transmit the captured data to the data preprocessing module safely and stably.

[0086] It should be noted that the data capture unit can use advanced web crawler technology to quickly and accurately capture the required data from various bidding platforms; at the same time, the unit has the ability to automatically identify and adapt to data formats of different platforms to ensure the integrity and consistency of the data;

[0087] The data transmission unit can adopt an encrypted transmission protocol to ensure the security and stability of data during transmission; in addition, the unit also has data caching and breakpoint resumption functions to cope with network instability or large data volume, ensuring that data can be transmitted to the data preprocessing module in a timely and complete manner.

[0088] In order to further optimize the above embodiment, the data preprocessing module includes:

[0089] A duplicate data identification unit, which is connected to the data transmission unit and is used to identify duplicate data in the collected bidding data;

[0090] An abnormal value detection unit, connected to the data transmission unit, for detecting the existence of abnormal values;

[0091] an incomplete data identification unit, which is connected to the data transmission unit and is used to mark the incomplete data;

[0092] The filtering processing unit is connected to the duplicate data identification unit, the abnormal value detection unit, and the incomplete data identification unit, and is used to clear or supplement the duplicate data, abnormal values, and incomplete data in the bidding data.

[0093] It should be noted that the duplicate data identification unit can use efficient hash algorithms or data comparison technology to quickly and accurately identify duplicate data in bidding data; the outlier detection unit can use statistical methods or rules based on domain knowledge to detect data to find possible outliers; the incomplete data identification unit can check the data one by one and mark incomplete data by setting standards and rules for data integrity;

[0094] The filtering processing unit will operate according to preset strategies and rules when removing duplicate data, outliers and supplementing incomplete data. Duplicate data and outliers will be directly removed to ensure the accuracy and reliability of the data. Incomplete data will be supplemented or marked according to the specific situation for subsequent processing. At the same time, the filtering processing unit will also record the process and results of data processing for traceability and auditing.

[0095] Through these optimization measures, the data preprocessing module can effectively improve the quality and availability of data, and provide a reliable data basis for subsequent indicator calculation and analysis.

[0096] In order to further optimize the above embodiment, the indicator calculation module includes:

[0097] A bidding activity calculation unit, which is used to calculate a bidding activity index according to the number of enterprises participating in the bidding and the total number of potential bidding enterprises;

[0098] A price rationality calculation unit, which is used to calculate the price rationality index of each bidder based on the bid price of each bidder and the price range set by the tenderer;

[0099] The enterprise competitiveness calculation unit determines the enterprise's technical strength score, enterprise reputation score and enterprise's past performance score based on the basic information, past bidding information and technical strength information of each bidder, and comprehensively analyzes the enterprise's competitiveness index.

[0100] Specifically, the calculation process of the bidding activity calculation unit adopts the following calculation formula:

[0101]

[0102] Among them, BAI is the bidding activity index, K0 is the number of companies participating in the bidding, and K z The total number of potential bidders;

[0103] The bidding activity index BAI represents the activity of the bidding market in a specific bidding project.

[0104] The calculation process of the price rationality calculation unit adopts the following calculation formula:

[0105]

[0106] Among them, i is the bidder enterprise index, PRI i is the price rationality index of bidder i, J i is the bid price of bidder i, J min , J max They are the lowest bid price and the highest bid price determined based on the price range set by the tenderer;

[0107] Price Reasonableness Index PRI i Represents the reasonableness of the bid price of each bidder within the bidding scope.

[0108] The calculation process of the enterprise competitiveness calculation unit adopts the following calculation formula:

[0109]

[0110] Q i =(X i +Y i )*∈*Z i

[0111] A i =N i *(±C i )

[0112]

[0113] Among them, ECI i is the competitiveness index of bidder i, Q i is the technical strength score of bidder i, A i is the corporate reputation score of bidder i, D i is the past performance score of bidder i; ω1 is the technical weight, ω2 is the reputation weight, and ω3 is the performance weight;

[0114] X i is the number of high-quality patents owned by the enterprise, Y i is the average number of citations of enterprise patents, Z i is the proportion of enterprise R&D investment to operating income, ∈ is the empirical adjustment parameter used to adjust the coefficient enterprise technology strength score Q i The upper and lower limits of

[0115] N iis the year of operation of the enterprise, C i is the number of historical credit adjustments; and when C i ≥N i When ±C i Set to -C i ; When C i <N i When ±C i Set to +C i

[0116] E i is the number of similar projects participated in in the past, G e is the score corresponding to the acceptance result in the acceptance report of the historical project e; where the acceptance result is the deliverable time G e +1, when the acceptance result is undeliverable G e is -1;

[0117] Enterprise Competitiveness Index (ECI) i Represents the overall competitive level of the bidders.

[0118] It should be noted that the calculation formula of the bidding activity calculation unit can accurately reflect the activity of the bidding market; the bidding activity index obtained by multiplying the ratio of the number of enterprises participating in the bidding to the total number of potential bidding enterprises by 100% can intuitively show the attractiveness and competition of the project;

[0119] The calculation formula of the price rationality calculation unit takes into account the relationship between the bid price of the bidder and the price range set by the tenderer. By calculating the price rationality index, it is possible to objectively evaluate the rationality of the bid price of each bidder within the tender range, providing an important basis for the tenderer to judge the rationality of the bid price.

[0120] The calculation formula of the enterprise competitiveness calculation unit integrates multiple factors such as the enterprise's technological strength, reputation and past performance; the enterprise's technological strength score is measured by indicators such as the number of high-quality patents, the average number of patent citations and the proportion of R&D investment in operating income. The experience-adjusted parameters can ensure that the enterprise's technological strength score is within a reasonable range; the enterprise's reputation score is determined based on the company's operating years and the number of historical credit adjustments, which can reflect the company's business reputation and integrity; the enterprise's past performance score is calculated based on the number of similar projects previously participated in and the acceptance results of historical projects, which can demonstrate the company's performance in similar projects; the enterprise competitiveness index calculated based on these indicators can comprehensively reflect the bidder's comprehensive competitive level.

[0121] In order to further optimize the above embodiment, the evaluation model of the comprehensive evaluation module is:

[0122]

[0123] Among them, DLE i is the comprehensive evaluation score of bidder i, α, β, and γ are activity weight, rationality weight, and competitiveness weight respectively; S v is the score of the vth additional factor, m v For S v The corresponding coefficients;

[0124] log(1+BAI) represents the logarithmic processing of the bidding activity index to avoid excessive impact on the comprehensive evaluation when the activity is extremely high;

[0125] sqrt(PRI i ) represents the square root of the price rationality index, which is used to make the change of price rationality smoother;

[0126] It represents a fine-tuning of the enterprise competitiveness index, so that when the index is adjusted to a smaller value, there will be a more obvious distinction;

[0127] exp{∑(S v *m v )} represents the indexation of additional factors to highlight their importance.

[0128] It should be noted that the evaluation model of the comprehensive evaluation module fully considers the importance of the bidding activity index, price rationality index and enterprise competitiveness index, and makes the evaluation results more accurate and reasonable through special processing of these indexes;

[0129] Logarithmic processing of the bidding activity index can avoid excessive impact on the comprehensive evaluation when the activity is extremely high, thus making the evaluation results more stable and reliable; taking the square root of the price rationality index can make the change of price rationality smoother and more accurately reflect the rationality of the bidder's price; fine-tuning the enterprise competitiveness index makes the index more distinct when adjusting to a smaller value, which can better reflect the differences in enterprise competitiveness;

[0130] In addition, indexing of additional factors highlights their importance, so that they can be fully considered in the comprehensive evaluation; for example, additional factors such as the market share and industry reputation of an enterprise may have an important impact on the comprehensive strength of the enterprise, and through indexing, the role of these factors can be better reflected;

[0131] This evaluation model can comprehensively consider multiple factors and provide bidders with a comprehensive and accurate overall evaluation score, which helps the tenderer make more scientific and reasonable decisions.

[0132] In order to further optimize the above embodiment, the visual analysis module includes:

[0133] The evaluation and analysis unit is connected to the comprehensive evaluation module to calculate the comprehensive evaluation score of each bidder. i Conduct trend analysis and comparative analysis, and rank bidders based on the analysis results;

[0134] The visualization display unit is connected to the evaluation and analysis unit and is used to display the ranking results of each bidder.

[0135] It should be noted that the evaluation and analysis unit can deeply explore the information behind the data by conducting trend analysis and comparative analysis on the comprehensive evaluation scores of each bidder; trend analysis can help users understand the performance change trend of bidders in different time periods, so as to predict their future development potential; comparative analysis can compare the comprehensive evaluation scores of different bidders horizontally, highlight their advantages and disadvantages, and provide the tenderer with a more comprehensive decision-making basis;

[0136] The visualization unit uses intuitive and easy-to-understand charts, such as bar charts, line charts, radar charts, etc., to display the ranking results of each bidder; this allows the tenderer and other relevant personnel to understand the results of data analysis more quickly and accurately, and improve decision-making efficiency; at the same time, the visualization unit can also be customized according to user needs to meet the specific requirements of different users for data display.

[0137] Embodiment 2:

[0138] This embodiment provides a real-time bidding data intelligent analysis method, see Figure 2 ,include:

[0139] Step 1: collect bidding data from several bidding platforms in real time;

[0140] Step 2: Clean the collected bidding data to remove duplicate data, outliers, and incomplete data;

[0141] Step 3: Calculate the bidding activity index, price rationality index and enterprise competitiveness index of each bidder;

[0142] Step 4: Substitute each index into the pre-set evaluation model to calculate the comprehensive evaluation index of each bidder;

[0143] Step five: Conduct an in-depth analysis of the comprehensive evaluation index of each bidder and rank and display the bidders through visualization tools.

[0144] It should be noted that in step 1, real-time collection of bidding data requires ensuring the accuracy and completeness of the data, while also paying attention to the legitimacy and security of the data source;

[0145] In step 2, the data cleaning process needs to be carried out strictly according to the preset rules and algorithms to ensure the accuracy of the removed duplicate data, outliers and incomplete data, and avoid the accidental deletion of important data;

[0146] In step 3, when calculating each index, it is necessary to ensure that the calculation formula and parameters used are accurate, so that the calculation results of the index can truly reflect the actual situation of the bidder;

[0147] In step 4, the pre-set evaluation model should be fully verified and optimized to ensure the rationality and reliability of the comprehensive evaluation index;

[0148] In step five, when conducting an in-depth analysis of the comprehensive evaluation index, we should combine it with actual business needs, explore the potential information behind the data, and provide strong support for decision-making; at the same time, the selection of visualization tools should be based on data characteristics and user needs to ensure that the display effect is clear and intuitive.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time bidding data intelligent analysis system, characterized in that: include: A data collection module, which is used to collect bidding data from several bidding platforms in real time; A data preprocessing module, which is connected to the data collection module and is used to clean the collected bidding data and remove duplicate data, abnormal values ​​and incomplete data; An index calculation module, which is connected to the data preprocessing module and is used to calculate the bidding activity index, price rationality index and enterprise competitiveness index of each bidder; A comprehensive evaluation module, which is connected to the index calculation module and is used to substitute various indexes into a pre-set evaluation model to calculate the comprehensive evaluation index of each bidder; The visualization analysis module is connected to the comprehensive evaluation module and is used to conduct an in-depth analysis of the comprehensive evaluation index of each bidder and to rank and display the bidders through visualization tools.

2. A real-time bidding data intelligent analysis system according to claim 1, characterized in that: The data collection module includes: A data capture unit is used to actively capture bidding data from various bidding platforms; The bidding data includes the number of enterprises participating in the bidding, the total number of potential bidding enterprises, the bidding price of each bidder, the price range set by the tenderer, and the basic information, past bidding information and technical strength information of each bidder; A data transmission unit is connected to the data capture unit and is used to transmit the captured data to the data preprocessing module safely and stably.

3. A real-time bidding data intelligent analysis system according to claim 2, characterized in that: The data preprocessing module comprises: a duplicate data identification unit, which is connected to the data transmission unit and is used to identify duplicate data in the collected bidding data; an abnormal value detection unit, connected to the data transmission unit, and configured to detect an existing abnormal value; an incomplete data identification unit, connected to the data transmission unit, and used to mark the incomplete data; A filtering processing unit is connected to the duplicate data identification unit, the abnormal value detection unit, and the incomplete data identification unit, and is used to remove or supplement duplicate data, abnormal values, and incomplete data in the bidding data.

4. A real-time bidding data intelligent analysis system according to claim 3, characterized in that: The indicator calculation module includes: A bidding activity calculation unit, which is used to calculate a bidding activity index according to the number of enterprises participating in the bidding and the total number of potential bidding enterprises; A price rationality calculation unit, which is used to calculate the price rationality index of each bidder based on the bid price of each bidder and the price range set by the tenderer; The enterprise competitiveness calculation unit determines the enterprise's technical strength score, enterprise reputation score and enterprise's past performance score based on the basic information, past bidding information and technical strength information of each bidder, and comprehensively analyzes the enterprise's competitiveness index.

5. A real-time bidding data intelligent analysis system according to claim 4, characterized in that: The calculation process of the bidding activity calculation unit adopts the following calculation formula: Among them, BAI is the bidding activity index, K0 is the number of companies participating in the bidding, and K z The total number of potential bidders; The bidding activity index BAI represents the activity level of the bidding market in a specific bidding project.

6. A real-time bidding data intelligent analysis system according to claim 5, characterized in that: The calculation process of the price rationality calculation unit adopts the following calculation formula: Among them, i is the bidder enterprise index, PRI i is the price rationality index of bidder i, J i is the bid price of bidder i, J min , J max They are the lowest bid price and the highest bid price determined based on the price range set by the tenderer; The Price Reasonableness Index PRI i Represents the reasonableness of the bid price of each bidder within the bidding scope.

7. A real-time bidding data intelligent analysis system according to claim 6, characterized in that: The calculation process of the enterprise competitiveness calculation unit adopts the following calculation formula: Q i =(X i +Y i )*∈*Z i A i =N i *(±C i ) Among them, ECI i is the competitiveness index of bidder i, Q i is the technical strength score of bidder i, A i is the corporate reputation score of bidder i, D i is the past performance score of bidder i; ω1 is the technical weight, ω2 is the reputation weight, and ω3 is the performance weight; X i is the number of high-quality patents owned by the enterprise, Y i is the average number of citations of enterprise patents, Z i is the proportion of enterprise R&D investment to operating income, ∈ is the empirical adjustment parameter used to adjust the coefficient enterprise technology strength score Q i The upper and lower limits of N i is the year of operation of the enterprise, C i is the number of historical credit adjustments; and when C i ≥N i When ±C i Set to -C i ; When C i <N i When ±C i Set to +C i E i is the number of similar projects participated in in the past, G e is the score corresponding to the acceptance result in the acceptance report of the historical project e; where the acceptance result is the deliverable time G e +1, when the acceptance result is undeliverable G e is -1; The Enterprise Competitiveness Index (ECI) i Represents the overall competitive level of the bidders.

8. A real-time bidding data intelligent analysis system according to claim 7, characterized in that: The evaluation model of the comprehensive evaluation module is: Among them, DLE i is the comprehensive evaluation score of bidder i, α, β, and γ are activity weight, rationality weight, and competitiveness weight respectively; S v is the score of the vth additional factor, m v For S v The corresponding coefficients; log(1+BAI) represents the logarithmic processing of the bidding activity index to avoid excessive impact on the comprehensive evaluation when the activity is extremely high; sqrt(PRI i ) represents the square root of the price rationality index, which is used to make the change of price rationality smoother; It represents a fine-tuning of the enterprise competitiveness index, so that when the index is adjusted to a smaller value, there will be a more obvious distinction; exp{∑(S v *m v )} represents the indexation of additional factors to highlight their importance.

9. A real-time bidding data intelligent analysis system according to claim 8, characterized in that: The visual analysis module includes: The evaluation and analysis unit is connected to the comprehensive evaluation module and is used to evaluate the comprehensive evaluation score of each bidder. i Conduct trend analysis and comparative analysis, and rank bidders based on the analysis results; A visual display unit is connected to the evaluation and analysis unit and is used to display the ranking results of each bidder.

10. A real-time bidding data intelligent analysis method, based on the system of claims 1-9, characterized in that: The following steps are involved: Step 1: collect bidding data from several bidding platforms in real time; Step 2: Clean the collected bidding data to remove duplicate data, outliers, and incomplete data; Step 3: Calculate the bidding activity index, price rationality index and enterprise competitiveness index of each bidder; Step 4: Substitute each index into the pre-set evaluation model to calculate the comprehensive evaluation index of each bidder; Step five: Conduct an in-depth analysis of the comprehensive evaluation index of each bidder and rank and display the bidders through visualization tools.

Images