Bid invitation risk assessment system based on big data

Abstract

The invention discloses a bid invitation risk assessment system based on big data, and belongs to the technical field of bid invitation, and the system comprises a data collection module which is used for collecting real-time data of a bid invitation project; the data processing module is used for processing the real-time data of the bid invitation project and determining feature data of the bid invitation project; the model training module is used for constructing a bid invitation risk assessment model; the test optimization module is used for carrying out test optimization on the bid invitation risk assessment model and determining an optimal bid invitation risk assessment model; and the risk assessment module is used for performing risk assessment on the bid invitation project feature data and determining a bid invitation risk assessment result. According to the method, the problems of high bid invitation risk and high bid invitation failure rate caused by incapability of performing effective risk assessment on bid invitation projects and incapability of helping bid invitation enterprises to avoid potential risks in the prior art are solved. The bid invitation project risk assessment method can perform effective risk assessment on the bid invitation project, can help a bid invitation enterprise to avoid potential risks, and reduces the bid invitation risk and the bid invitation failure rate.

Description

Technical Field

[0001] The present invention relates to the technical field of bidding, and in particular to a bidding risk assessment system based on big data. Background Art

[0002] Tendering is a term in the bidding industry, which refers to the act of the tenderer (buyer) issuing a tender notice or tender form in advance, proposing the variety, quantity, technical requirements and related transaction conditions at the specified time and place, and inviting bidders (sellers) to participate in the bidding.

[0003] The Chinese patent with publication number CN109636351A discloses a project bidding management system based on big data, which analyzes the comprehensive bidding satisfaction coefficient of bidding enterprises, improves the accuracy of analysis, and provides a reliable basis for the later screening of alliance member enterprises; and counts the alliance satisfaction coefficients of bidding enterprises in each alliance, and screens the largest alliance satisfaction coefficient, which improves the accuracy of screening bidding enterprises and provides reliable decision-making support for selecting bidding enterprises; however, the patent has the following defects:

[0004] The existing system cannot conduct effective risk assessment on bidding projects and cannot help bidding companies avoid potential risks, resulting in high bidding risks and high bidding failure rates. Summary of the invention

[0005] The purpose of the present invention is to provide a bidding risk assessment system based on big data, which can effectively conduct risk assessment on bidding projects, help bidding companies avoid potential risks, reduce bidding risks and bidding failure rates, and solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A bidding risk assessment system based on big data, including:

[0008] Data collection module, used to collect bidding data and tender data, and determine the real-time data of bidding projects based on big data;

[0009] A data processing module is used to process the real-time data of the bidding project based on big data and determine the characteristic data of the bidding project based on big data;

[0010] Model training module, used to build a bidding risk assessment model based on big data according to the bidding risk assessment requirements based on big data;

[0011] The test optimization module is used to test and optimize the bidding risk assessment model based on big data to determine the optimal bidding risk assessment model;

[0012] The risk assessment module is used to conduct risk assessment on the characteristic data of the bidding project and determine the bidding risk assessment results based on big data;

[0013] The intelligent management and control module is used to formulate intelligent management and control plans for bidding projects based on big data and to carry out intelligent management and control of bidding projects.

[0014] Preferably, the data acquisition module includes:

[0015] The bidding collection unit is used to monitor and collect the project name, budget, construction period, and technical requirements of the bidding documents to obtain bidding data;

[0016] The bidding collection unit is used to monitor and collect the bidding enterprise's name, qualification level, performance, bidding quotation, enterprise funds, number of bidding projects in previous years, content of each completed bidding project, name of the cooperated enterprise and evaluation content of the cooperative enterprise, and obtain bidding data;

[0017] Among them, based on the bidding data and tender data, the real-time data of the bidding projects based on big data is determined.

[0018] Preferably, the data processing module includes:

[0019] Data cleaning unit, used to clean the real-time data of bidding projects based on big data;

[0020] Obtain real-time data of bidding projects based on big data;

[0021] Clean and process the real-time data of bidding projects based on big data, including:

[0022] Conduct consistency checks on real-time data of bidding projects based on big data;

[0023] According to the reasonable value range and mutual relationship of each parameter in the real-time data of the bidding project based on big data, check whether the real-time data of the bidding project based on big data meets the requirements;

[0024] Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of bidding projects based on big data;

[0025] Process invalid and missing values ​​in real-time data of bidding projects based on big data;

[0026] Remove invalid and missing data that are of no value to bidding risk assessment in real-time data of bidding projects based on big data;

[0027] Identify real-time data of bidding projects that are valuable for bidding risk assessment.

[0028] Preferably, the data processing module further includes:

[0029] A data conversion unit is used to convert the cleaned real-time data of the bidding project;

[0030] Obtain real-time data of bidding projects that are valuable for bidding risk assessment after cleaning;

[0031] Convert and process the real-time data of bidding projects that are valuable for bidding risk assessment;

[0032] Eliminate the dimensional differences between real-time data of tender projects that are valuable for tender risk assessment;

[0033] Determine standardized real-time data for bidding projects;

[0034] A feature extraction unit, used for extracting features from the converted real-time data of the bidding project;

[0035] Obtain real-time data of bidding projects after conversion and standardization;

[0036] Perform feature extraction and processing on standardized real-time data of bidding projects;

[0037] Extract features that can reflect the risk assessment of bidding projects;

[0038] Determine the characteristic data of bidding projects based on big data.

[0039] Preferably, the model training module includes:

[0040] A data collection unit, used to collect historical data of bidding projects based on big data;

[0041] According to the bidding risk assessment needs based on big data, historical data of bidding projects based on big data are collected and kept for future use;

[0042] A model building unit, used to build a bidding risk assessment model based on big data;

[0043] Obtain historical data of bidding projects based on big data;

[0044] Divide the historical data of bidding projects based on big data;

[0045] Determine the training data set, test data set and validation data set;

[0046] Select a neural network model framework suitable for bidding risk assessment;

[0047] Based on the training data set, train the selected neural network model framework;

[0048] Determine a bidding risk assessment model based on big data.

[0049] Preferably, the test optimization module includes:

[0050] Performance testing unit, used to perform performance testing on the bidding risk assessment model based on big data;

[0051] Obtain bidding risk assessment model based on big data;

[0052] Based on the test data set, the performance of the bidding risk assessment model based on big data is tested;

[0053] Determine the performance test results based on the bidding risk assessment model;

[0054] Verification and optimization unit, used to verify and optimize the bidding risk assessment model based on big data;

[0055] Obtain performance test results based on the bidding risk assessment model;

[0056] Conduct mining and analysis on the performance test results based on the bidding risk assessment model;

[0057] Based on the validation data set, the parameters of the bidding risk assessment model based on big data are adjusted and optimized;

[0058] Determine the optimal bidding risk assessment model.

[0059] Preferably, the risk assessment module includes:

[0060] A data extraction unit, used to extract characteristic data of bidding items based on big data;

[0061] According to the bidding risk assessment requirements based on big data, the characteristic data of bidding projects based on big data are extracted;

[0062] Risk assessment unit, used to conduct risk assessment on the characteristic data of bidding projects;

[0063] Obtain the optimal bidding risk assessment model;

[0064] Input the bidding project characteristic data based on big data into the optimal bidding risk assessment model;

[0065] Based on the optimal bidding risk assessment model, conduct risk assessment on the characteristic data of bidding projects;

[0066] Determine the bidding risk assessment results based on big data;

[0067] Among them, the bidding risk assessment result based on big data is that there is a risk in the bidding project or there is no risk in the bidding project.

[0068] Preferably, the intelligent management and control module includes:

[0069] The plan formulation unit is used to formulate intelligent management and control plans for bidding projects based on big data;

[0070] Obtain bidding risk assessment results based on big data;

[0071] Conduct mining and analysis on bidding risk assessment results based on big data;

[0072] Determine the intelligent management and control plan for bidding projects based on big data;

[0073] Intelligent management and control unit, used for intelligent management and control of bidding projects;

[0074] Obtain intelligent management and control solutions for bidding projects based on big data;

[0075] Intelligent management and control of bidding projects is carried out according to the intelligent management and control solution of bidding projects based on big data.

[0076] Preferably, the intelligent management and control module further includes:

[0077] A data storage unit, used to store bidding project characteristic data, bidding risk assessment results and bidding project intelligent management and control solutions;

[0078] Data display unit, used to display the characteristic data of bidding projects, bidding risk assessment results and intelligent management and control solutions for bidding projects;

[0079] Obtain bidding project characteristic data, bidding risk assessment results and bidding project intelligent management and control solutions;

[0080] Mining and analyzing bidding project feature data, bidding risk assessment results and bidding project intelligent management and control solutions to form a bidding risk assessment report;

[0081] The bidding risk assessment report is presented in a visual form.

[0082] Preferably, the bidding project is intelligently managed and controlled, and the following operations are performed:

[0083] Provide risk warnings for bidding projects, and take corresponding control measures in a timely manner according to the risk level of the bidding projects to eliminate risky behaviors in the bidding projects.

[0084] Compared with the prior art, the present invention has the following beneficial effects:

[0085] The present invention determines the real-time data of bidding projects based on big data by collecting bidding data and bidding data, determines the characteristic data of bidding projects based on big data by processing the real-time data of bidding projects based on big data, constructs a bidding risk assessment model based on big data according to the bidding risk assessment needs based on big data, tests and optimizes the bidding risk assessment model based on big data, determines the optimal bidding risk assessment model, conducts risk assessment on the characteristic data of bidding projects based on the optimal bidding risk assessment model, determines the bidding risk assessment results based on big data, formulates an intelligent management and control plan for bidding projects based on big data, conducts intelligent management and control on bidding projects, conducts risk warning on bidding projects, takes corresponding management and control measures in time according to the risk level of bidding projects, eliminates the risk behaviors existing in bidding projects, can effectively conduct risk assessment on bidding projects, can help bidding companies avoid potential risks, and reduce bidding risks and bidding failure rates. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] Figure 1 It is a structural schematic diagram of the bidding risk assessment system based on big data of the present invention. DETAILED DESCRIPTION

[0087] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0088] In order to solve the existing problem of not being able to conduct effective risk assessment on bidding projects and not being able to help bidding companies avoid potential risks, resulting in high bidding risks and high bidding failure rates, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0089] A bidding risk assessment system based on big data includes: a data acquisition module, a data processing module, a model training module, a test optimization module, a risk assessment module and an intelligent management and control module.

[0090] It should be noted that through the interactive communication between the data collection module, data processing module, model training module, test optimization module, risk assessment module and intelligent management and control module, effective risk assessment of bidding projects can be carried out, which can help bidding companies avoid potential risks and reduce bidding risks and bidding failure rates.

[0091] Among them, the data collection module is used to collect bidding data and tender data, and determine the real-time data of bidding projects based on big data;

[0092] In this embodiment, the data acquisition module includes:

[0093] The bidding collection unit is used to monitor and collect the project name, budget, construction period, and technical requirements of the bidding documents to obtain bidding data;

[0094] The bidding collection unit is used to monitor and collect the bidding enterprise's name, qualification level, performance, bidding quotation, enterprise funds, number of bidding projects in previous years, content of each completed bidding project, name of the cooperated enterprise and evaluation content of the cooperative enterprise, and obtain bidding data;

[0095] Among them, based on the bidding data and tender data, the real-time data of the bidding projects based on big data is determined.

[0096] Among them, the data processing module is used to process the real-time data of the bidding project based on big data and determine the characteristic data of the bidding project based on big data;

[0097] In this embodiment, the data processing module includes:

[0098] Data cleaning unit, used to clean the real-time data of bidding projects based on big data;

[0099] Obtain real-time data of bidding projects based on big data;

[0100] Clean and process the real-time data of bidding projects based on big data, including:

[0101] Conduct consistency checks on real-time data of bidding projects based on big data;

[0102] According to the reasonable value range and mutual relationship of each parameter in the real-time data of the bidding project based on big data, check whether the real-time data of the bidding project based on big data meets the requirements;

[0103] Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of bidding projects based on big data;

[0104] Process invalid and missing values ​​in real-time data of bidding projects based on big data;

[0105] Remove invalid and missing data that are of no value to bidding risk assessment in real-time data of bidding projects based on big data;

[0106] Identify real-time data of bidding projects that are valuable for bidding risk assessment;

[0107] A data conversion unit is used to convert the cleaned real-time data of the bidding project;

[0108] Obtain real-time data of bidding projects that are valuable for bidding risk assessment after cleaning;

[0109] Convert and process the real-time data of bidding projects that are valuable for bidding risk assessment;

[0110] Eliminate the dimensional differences between real-time data of tender projects that are valuable for tender risk assessment;

[0111] Determine standardized real-time data for bidding projects;

[0112] A feature extraction unit, used for extracting features from the converted real-time data of the bidding project;

[0113] Obtain real-time data of bidding projects after conversion and standardization;

[0114] Perform feature extraction and processing on standardized real-time data of bidding projects;

[0115] Extract features that can reflect the risk assessment of bidding projects;

[0116] Determine the characteristic data of bidding projects based on big data.

[0117] Among them, the model training module is used to build a bidding risk assessment model based on big data according to the bidding risk assessment needs based on big data;

[0118] In this embodiment, the model training module includes:

[0119] A data collection unit, used to collect historical data of bidding projects based on big data;

[0120] According to the bidding risk assessment needs based on big data, historical data of bidding projects based on big data are collected and kept for future use;

[0121] A model building unit, used to build a bidding risk assessment model based on big data;

[0122] Obtain historical data of bidding projects based on big data;

[0123] Divide the historical data of bidding projects based on big data;

[0124] Determine the training data set, test data set and validation data set;

[0125] Select a neural network model framework suitable for bidding risk assessment;

[0126] Based on the training data set, train the selected neural network model framework;

[0127] Determine a bidding risk assessment model based on big data.

[0128] Among them, the test optimization module is used to test and optimize the bidding risk assessment model based on big data to determine the optimal bidding risk assessment model;

[0129] In this embodiment, the test optimization module includes:

[0130] Performance testing unit, used to perform performance testing on the bidding risk assessment model based on big data;

[0131] Obtain bidding risk assessment model based on big data;

[0132] Based on the test data set, the performance of the bidding risk assessment model based on big data is tested;

[0133] Determine the performance test results based on the bidding risk assessment model;

[0134] Verification and optimization unit, used to verify and optimize the bidding risk assessment model based on big data;

[0135] Obtain performance test results based on the bidding risk assessment model;

[0136] Conduct mining and analysis on the performance test results based on the bidding risk assessment model;

[0137] Based on the validation data set, the parameters of the bidding risk assessment model based on big data are adjusted and optimized;

[0138] Determine the optimal bidding risk assessment model.

[0139] Among them, the risk assessment module is used to conduct risk assessment on the characteristic data of the bidding project and determine the bidding risk assessment results based on big data;

[0140] In this embodiment, the risk assessment module includes:

[0141] A data extraction unit, used to extract characteristic data of bidding items based on big data;

[0142] According to the bidding risk assessment requirements based on big data, the characteristic data of bidding projects based on big data are extracted;

[0143] Risk assessment unit, used to conduct risk assessment on the characteristic data of bidding projects;

[0144] Obtain the optimal bidding risk assessment model;

[0145] Input the bidding project characteristic data based on big data into the optimal bidding risk assessment model;

[0146] Based on the optimal bidding risk assessment model, conduct risk assessment on the characteristic data of bidding projects;

[0147] Determine the bidding risk assessment results based on big data;

[0148] Among them, the bidding risk assessment result based on big data is that there is a risk in the bidding project or there is no risk in the bidding project.

[0149] Among them, the intelligent management and control module is used to formulate intelligent management and control plans for bidding projects based on big data and to carry out intelligent management and control of bidding projects.

[0150] In this embodiment, the intelligent management and control module includes:

[0151] The plan formulation unit is used to formulate intelligent management and control plans for bidding projects based on big data;

[0152] Obtain bidding risk assessment results based on big data;

[0153] Conduct mining and analysis on bidding risk assessment results based on big data;

[0154] Determine the intelligent management and control plan for bidding projects based on big data;

[0155] Intelligent management and control unit, used for intelligent management and control of bidding projects;

[0156] Obtain intelligent management and control solutions for bidding projects based on big data;

[0157] Carry out intelligent management and control of bidding projects according to the intelligent management and control scheme of bidding projects based on big data;

[0158] A data storage unit, used to store bidding project characteristic data, bidding risk assessment results and bidding project intelligent management and control solutions;

[0159] Data display unit, used to display the characteristic data of bidding projects, bidding risk assessment results and intelligent management and control solutions for bidding projects;

[0160] Obtain bidding project characteristic data, bidding risk assessment results and bidding project intelligent management and control solutions;

[0161] Mining and analyzing bidding project feature data, bidding risk assessment results and bidding project intelligent management and control solutions to form a bidding risk assessment report;

[0162] The bidding risk assessment report is presented in a visual form.

[0163] In this embodiment, the bidding project is intelligently managed and controlled, and the following operations are performed:

[0164] Provide risk warnings for bidding projects, and take corresponding control measures in a timely manner according to the risk level of the bidding projects to eliminate risky behaviors in the bidding projects.

[0165] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0166] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A bidding risk assessment system based on big data, characterized in that: include: Data collection module, used to collect bidding data and tender data, and determine the real-time data of bidding projects based on big data; A data processing module is used to process the real-time data of the bidding project based on big data and determine the characteristic data of the bidding project based on big data; Model training module, used to build a bidding risk assessment model based on big data according to the bidding risk assessment requirements based on big data; The test optimization module is used to test and optimize the bidding risk assessment model based on big data to determine the optimal bidding risk assessment model; The risk assessment module is used to conduct risk assessment on the characteristic data of the bidding project and determine the bidding risk assessment results based on big data; The intelligent management and control module is used to formulate intelligent management and control plans for bidding projects based on big data and to carry out intelligent management and control of bidding projects.

2. According to the big data-based bidding risk assessment system of claim 1, it is characterized in that: The data acquisition module comprises: The bidding collection unit is used to monitor and collect the project name, budget, construction period, and technical requirements of the bidding documents to obtain bidding data; The bidding collection unit is used to monitor and collect the bidding enterprise's name, qualification level, performance, bidding quotation, enterprise funds, number of bidding projects in previous years, content of each completed bidding project, name of the cooperated enterprise and evaluation content of the cooperative enterprise, and obtain bidding data; Among them, based on the bidding data and tender data, the real-time data of the bidding projects based on big data is determined.

3. According to the big data-based bidding risk assessment system of claim 2, it is characterized in that: The data processing module comprises: Data cleaning unit, used to clean the real-time data of bidding projects based on big data; Obtain real-time data of bidding projects based on big data; Clean and process the real-time data of bidding projects based on big data, including: Conduct consistency checks on real-time data of bidding projects based on big data; According to the reasonable value range and mutual relationship of each parameter in the real-time data of the bidding project based on big data, check whether the real-time data of the bidding project based on big data meets the requirements; Remove inconsistent data that is beyond the normal range, logically unreasonable or contradictory in the real-time data of bidding projects based on big data; Process invalid and missing values ​​in real-time data of bidding projects based on big data; Remove invalid and missing data that are of no value to bidding risk assessment in real-time data of bidding projects based on big data; Identify real-time data of bidding projects that are valuable for bidding risk assessment.

4. According to the big data-based bidding risk assessment system of claim 3, it is characterized in that: The data processing module also includes: A data conversion unit is used to convert the cleaned real-time data of the bidding project; Obtain real-time data of bidding projects that are valuable for bidding risk assessment after cleaning; Convert and process the real-time data of bidding projects that are valuable for bidding risk assessment; Eliminate the dimensional differences between real-time data of tender projects that are valuable for tender risk assessment; Determine standardized real-time data for bidding projects; A feature extraction unit, used for extracting features from the converted real-time data of the bidding project; Obtain real-time data of bidding projects after conversion and standardization; Perform feature extraction and processing on standardized real-time data of bidding projects; Extract features that can reflect the risk assessment of bidding projects; Determine the characteristic data of bidding projects based on big data.

5. According to the big data-based bidding risk assessment system of claim 4, it is characterized in that: The model training module includes: A data collection unit, used to collect historical data of bidding projects based on big data; According to the bidding risk assessment needs based on big data, historical data of bidding projects based on big data are collected and kept for future use; A model building unit, used to build a bidding risk assessment model based on big data; Obtain historical data of bidding projects based on big data; Divide the historical data of bidding projects based on big data; Determine the training data set, test data set and validation data set; Select a neural network model framework suitable for bidding risk assessment; Based on the training data set, train the selected neural network model framework; Determine a bidding risk assessment model based on big data.

6. The bidding risk assessment system based on big data according to claim 5 is characterized in that: The test optimization module includes: Performance testing unit, used to perform performance testing on the bidding risk assessment model based on big data; Obtain bidding risk assessment model based on big data; Based on the test data set, the performance of the bidding risk assessment model based on big data is tested; Determine the performance test results based on the bidding risk assessment model; Verification and optimization unit, used to verify and optimize the bidding risk assessment model based on big data; Obtain performance test results based on the bidding risk assessment model; Conduct mining and analysis on the performance test results based on the bidding risk assessment model; Based on the validation data set, the parameters of the bidding risk assessment model based on big data are adjusted and optimized; Determine the optimal bidding risk assessment model.

7. The bidding risk assessment system based on big data according to claim 6 is characterized in that: The risk assessment module includes: A data extraction unit, used to extract characteristic data of bidding items based on big data; According to the bidding risk assessment requirements based on big data, the characteristic data of bidding projects based on big data are extracted; Risk assessment unit, used to conduct risk assessment on the characteristic data of bidding projects; Obtain the optimal bidding risk assessment model; Input the bidding project characteristic data based on big data into the optimal bidding risk assessment model; Based on the optimal bidding risk assessment model, conduct risk assessment on the characteristic data of bidding projects; Determine the bidding risk assessment results based on big data; Among them, the bidding risk assessment result based on big data is that there is a risk in the bidding project or there is no risk in the bidding project.

8. The bidding risk assessment system based on big data according to claim 7 is characterized in that: The intelligent management and control module includes: The plan formulation unit is used to formulate intelligent management and control plans for bidding projects based on big data; Obtain bidding risk assessment results based on big data; Conduct mining and analysis on bidding risk assessment results based on big data; Determine the intelligent management and control plan for bidding projects based on big data; Intelligent management and control unit, used for intelligent management and control of bidding projects; Obtain intelligent management and control solutions for bidding projects based on big data; Intelligent management and control of bidding projects is carried out according to the intelligent management and control solution of bidding projects based on big data.

9. The bidding risk assessment system based on big data according to claim 8 is characterized in that: The intelligent management and control module also includes: A data storage unit, used to store bidding project characteristic data, bidding risk assessment results and bidding project intelligent management and control solutions; Data display unit, used to display the characteristic data of bidding projects, bidding risk assessment results and intelligent management and control solutions for bidding projects; Obtain bidding project characteristic data, bidding risk assessment results and bidding project intelligent management and control solutions; Mining and analyzing bidding project feature data, bidding risk assessment results and bidding project intelligent management and control solutions to form a bidding risk assessment report; The bidding risk assessment report is presented in a visual form.

10. A bidding risk assessment system based on big data according to claim 9, characterized in that: To conduct intelligent management and control of bidding projects, perform the following operations: Provide risk warnings for bidding projects, and take corresponding control measures in a timely manner according to the risk level of the bidding projects to eliminate risky behaviors in the bidding projects.

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