Bidding early warning system linked with government purchase cloud platform

Abstract

The invention discloses a bidding early warning system linked with a government purchase cloud platform, which belongs to the technical field of government purchase and comprises a bidding early warning module in communication connection with the government purchase cloud platform. The bidding and tendering early warning module comprises a quantifiable risk identification sub-module used for extracting key data according to quantifiable risks; the risk assessment sub-module is used for carrying out risk assessment on bidding activities according to the key data and giving out early warning when risks exist, the risk assessment sub-module assesses the risks based on the specific data and mathematical operation results, errors and misguidance caused by human factors and subjective judgment can be reduced, and the risk assessment accuracy is improved. The accuracy, objectivity and scientificity of bid invitation risk early warning are improved; the system is also linked with a government purchasing cloud platform, a commission platform, a financial platform and an auditing platform, thereby improving the purchasing efficiency and the purchasing compliance, preventing the purchasing and renting behaviors, improving the reimbursement efficiency, and supervising the purchasing compliance and legality.

Description

Technical Field

[0001] The present invention belongs to the technical field of government procurement, and in particular relates to a bidding early warning system linked to a government procurement cloud platform. Background Art

[0002] The amount of funds for government procurement is increasing, and the requirements for the standardization of the procurement process are becoming higher and higher. Various regions and units have successively developed different procurement management systems. For example, the invention patent application with application publication number CN107977795A discloses a government procurement management and transaction system. The system includes a planning management subsystem, an electronic review subsystem, an agreement and designated procurement subsystem, a contract management subsystem, a supervision and early warning subsystem, a credit system subsystem, a data analysis and decision support subsystem and an information service portal subsystem, an agency database, an evaluation expert database, a supplier database and a commodity information database.

[0003] Existing procurement management systems, such as the Chinese patent application with application publication number CN114418324A, disclose a method and device for early warning of risks, the method comprising: obtaining historical quotation data and index data of the bidding object for the historical project object for the bidding object that bids for the bidding project object, determining the current index quotation relationship of the bidding object at present, and calculating the target quotation data of the bidding object for the bidding project object; collecting the actual quotation data of the bidding object for the bidding project object, and performing abnormal quotation behavior analysis based on the target quotation data and the actual quotation data, and sending a risk early warning message to the user terminal bound to the bidding project object when the specified risk event is determined to be triggered according to the quotation behavior analysis results of multiple bidding objects, so as to realize the identification of the collusion and bidding of multiple real bidding objects, and to perform the identification according to the quotation data of the bidding object. The early warning of bidding risks in the existing procurement management system is often mixed with subjective human factors, and quantitative analysis cannot be realized. In addition, the existing procurement management system is usually operated separately and fails to effectively link with other platforms, resulting in low reimbursement efficiency, inability to supervise procurement compliance and legality, inability to effectively prevent procurement rent-seeking behavior, and inability to improve procurement efficiency and procurement compliance. Summary of the invention

[0004] The purpose of the present invention is to provide a bidding early warning system linked with a government procurement cloud platform to solve the problem that the early warning of the existing government procurement management system cannot realize quantitative analysis and cannot be effectively linked with other platforms.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] The present invention relates to a bidding early warning system linked with a government procurement cloud platform, which comprises a bidding early warning module, wherein the bidding early warning module is communicatively connected with the government procurement cloud platform;

[0007] The bidding early warning module includes:

[0008] The quantifiable risk identification submodule is used to extract key data based on quantifiable risks. The quantifiable risks include abnormally high or low expert scores, the highest winning bid price, abnormal consistency of bidding documents, abnormal differences in technical scores of bidders, and low-price bidding. The extracted key data include: expert scores for each bidder, the bid price and winning bid price of each bidder, the bidding documents of each bidder, and the final technical score of each bidder;

[0009] The risk assessment submodule is used to conduct risk assessment on bidding activities based on key data and issue warnings when risks exist. The risk assessment submodule includes the following assessment models:

[0010] Expert scoring evaluation model, which is used to evaluate experts' scores on bidders and issue risk warnings when experts' scores are abnormally high or low;

[0011] The bid evaluation model is used to analyze the bid price and winning bid price of each bidder and issue a risk warning when the winning bid price is the highest bid price of all bidders;

[0012] The bidding document evaluation model is used to evaluate the bidding documents of each bidder and issue a risk warning when the repetition rate of the bidding documents is greater than or equal to the repetition rate coefficient;

[0013] A competitive evaluation model is used to sort the final technical scores of all bidders from highest to lowest and issue a risk warning when the difference between the highest technical score and the second highest technical score is greater than the technical score difference coefficient;

[0014] The low-price bidding evaluation model is used to evaluate the bids of each bidder and issue a risk warning when the bid price of a bidder is less than or equal to the lowest price budget coefficient range of the project budget price or the lowest price coefficient range of the average bid price of other bidders;

[0015] The government procurement cloud platform is used to execute bidding and generate bidding data and pass the bidding data to the bidding early warning module.

[0016] Preferably, the mathematical model formula of the expert scoring evaluation model is:

[0017] like:

[0018] or

[0019] A risk warning is issued;

[0020] In the formula, X ij is the score given by expert i to bidder j, n is the number of experts, and Y is the coefficient of abnormal high or low.

[0021] Preferably, the mathematical model formula of the bid winning evaluation model is:

[0022] like:

[0023] P=Max(P1,P2,...,P j ,...,P m ),

[0024] A risk warning is issued;

[0025] In the formula, P j is the bid price of bidder j, m is the number of bidders, and P is the winning bid price.

[0026] Preferably, the mathematical model formula of the bidding document evaluation model is:

[0027] like:

[0028] R jk ≥L,

[0029] A risk warning is issued;

[0030] In the formula, R jk is the repetition rate of the bidding documents of bidder j and bidder k, and L is the repetition coefficient.

[0031] Preferably, the mathematical model formula of the competitive evaluation model is:

[0032] like:

[0033] T1-T2 ≥ H,

[0034] A risk warning is issued;

[0035] In the formula, T1 is the highest technical score among the bidder's final technical scores, T2 is the second highest technical score among the bidder's final technical scores, and H is the technical score difference coefficient.

[0036] Preferably, the mathematical model formula of the low-price bidding evaluation model is:

[0037] like:

[0038] Min(P1,P2,...,P j ,...,P m )≤P y Q1

[0039] or

[0040]

[0041] A risk warning is issued;

[0042] In the formula, P j is the bid price of bidder j, m is the number of bidders, P y is the budget price, Q1 is the lowest price budget coefficient, and Q2 is the lowest price coefficient.

[0043] Preferably, the bidding early warning module further includes a procurement document countersigning submodule, an evaluation result countersigning submodule, and a bidding query submodule. The procurement document countersigning submodule is used to realize the internal review function of the bidding document, the evaluation result countersigning submodule is used to realize the internal review function of the bidding result, and the bidding query submodule is used to realize the query function of previous bidding projects; and then the pre- and post-bidding work is completed when the application budget amount is greater than or equal to the bidding limit;

[0044] The bid early warning system also includes:

[0045] The purchase application module includes the application submission submodule, the application approval submodule and the application query submodule. The application submission submodule is used to submit purchase applications and apply for budget amounts. The application approval submodule is used to approve purchase applications submitted by users. The application query submodule is used to view application information submitted by users.

[0046] The procurement execution module includes a procurement execution submodule, a result approval submodule, and a procurement execution query submodule. The procurement execution submodule is used to execute procurement when the application budget amount is less than the bidding limit, the result approval submodule is used to approve the procurement execution results, and the procurement execution query submodule is used to query procurement information;

[0047] The contract module includes a contract countersignature submodule, a contract change submodule, and a contract query submodule. The contract countersignature submodule is used to sign a contract after the purchase or bidding is completed, the contract change submodule is used to change the contract, and the contract query submodule is used to query the details of the contract;

[0048] The performance bond module includes a performance bond collection submodule, a performance bond refund submodule, and a performance bond query submodule. The performance bond collection submodule is used to complete the collection of the bond after the contract is signed, the performance bond refund submodule is used to refund the bond, and the performance bond query submodule is used to query the progress of the collection and refund of the bond;

[0049] The acceptance module includes an acceptance initiation submodule, an acceptance handling submodule, and an acceptance query submodule. The acceptance initiation submodule is used to initiate acceptance after the contract performance is completed, the acceptance handling submodule is used to execute the acceptance, and the acceptance query submodule is used to query the progress of the acceptance;

[0050] The payment module includes a progress payment submission submodule, a final payment submission submodule and a payment query submodule. The progress payment submission submodule is used to submit progress payments, and the final payment submission submodule is used to submit final payments. The progress payment submission submodule and the final payment submission submodule cooperate to execute payment, and the payment query submodule is used to query payment information.

[0051] The supplier management module includes a procurement announcement submodule, a supplier entry submodule, a performance evaluation submodule and a supplier query submodule. The procurement announcement submodule is used to publicize procurement information, the supplier entry submodule is used to introduce new suppliers, the performance evaluation submodule is used to evaluate the supplier's contract performance, and the supplier query submodule is used to query the supplier's historical cooperation information.

[0052] Preferably, the bidding early warning module is also connected to the following platforms:

[0053] The Discipline Inspection Commission platform is connected to the bidding early warning module to receive the bidding announcements and winning announcements issued by the bidding early warning module and supervise the bidding activities. When the bidding early warning module issues an early warning, it reminds the discipline inspection personnel to intervene and conduct verification;

[0054] The financial platform is connected to the payment module to receive payment applications and purchase information from the payment module and return payment data after payment is completed;

[0055] The audit platform, connected to the bid early warning system, is used by auditors to monitor the compliance and legality of procurement.

[0056] Preferably, the government procurement cloud platform is also connected to the procurement execution module to transmit the order data in the government procurement cloud platform to the procurement execution module.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The bidding early warning system linked to the government procurement cloud platform involved in the present invention includes a bidding early warning module. The bidding early warning module can extract key data based on quantifiable risks, and conduct risk assessment on bidding activities based on the key data, and finally issue an early warning when there is a risk, so as to evaluate the risk based on specific data and the results of mathematical operations, reduce errors and misleading caused by human factors and subjective judgment, and improve the accuracy, objectivity and scientificity of bidding risk early warning.

[0059] 2. The bidding early warning system linked with the government procurement cloud platform involved in the present invention also links the procurement execution module and the bidding early warning module with the government procurement cloud platform, thereby improving procurement efficiency and procurement compliance; links the bidding early warning module with the discipline inspection commission platform, thereby effectively preventing procurement rent-seeking behavior; links the payment module with the financial platform, thereby improving reimbursement efficiency; and links the entire system with the audit platform, thereby effectively supervising procurement compliance and legality. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is the architecture diagram of the bidding early warning system linked with the government procurement cloud platform;

[0061] Figure 2 Framework diagram of quantifiable risk identification submodule and risk assessment submodule;

[0062] Figure 3 Operation logic diagram of the bidding risk warning function. DETAILED DESCRIPTION

[0063] In order to further understand the content of the present invention, the present invention is described in detail in conjunction with examples. The following examples are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0064] See attached Figure 1 The present invention relates to a bidding early warning system linked to a government procurement cloud platform, comprising a procurement application module 1, a procurement execution module 2, a bidding early warning module 3, a contract module 4, a performance bond module 5, an acceptance module 6, a payment module 7, and a supplier management module 8; the bidding early warning system is communicatively connected with a government procurement cloud platform 9, a discipline inspection commission platform 10, a financial platform 11, and an audit platform 12.

[0065] The purchase application module 1 includes an application submission submodule, an application approval submodule and an application query submodule. The application submission submodule is used to submit a purchase application and an application budget amount. The application approval submodule is used to approve the purchase application submitted by the user. The application query submodule is used to view the application information submitted by the user.

[0066] The procurement execution module 2 includes a procurement execution submodule, a result approval submodule, and a procurement execution query submodule. The procurement execution submodule is used to execute procurement when the application budget amount is less than the bidding limit, the result approval submodule is used to approve the procurement execution results, and the procurement execution query submodule is used to query procurement information.

[0067] The bidding early warning module 3 is used to complete the pre- and post-bidding work when the application budget amount is greater than or equal to the bidding limit, to extract key data based on quantifiable risks, to conduct risk assessment on bidding activities based on key data and to issue early warnings when risks exist, and includes a procurement document countersignature submodule, an evaluation result countersignature submodule, a bidding query submodule, a quantifiable risk identification submodule and a risk assessment submodule. The procurement document countersignature submodule is used to implement the internal review function of the bidding documents; the evaluation result countersignature submodule is used to implement the internal review function of the bidding results; the bidding query submodule is used to implement the query function of previous bidding projects; the quantifiable risk identification submodule is used to extract key data based on quantifiable risks, such as Figure 2 As shown, the quantifiable risk identification submodule 13 takes abnormally high or low expert scores, the highest winning bid price, abnormal consistency of bidding documents, abnormal differences in technical scores of bidders, and low-price bidding as quantifiable risks, and extracts key data including expert scores of bidders, bid prices and winning bid prices of each bidder, bid documents of each bidder, and final technical scores of each bidder according to the quantifiable risks; the risk assessment submodule 14 is used to conduct risk assessment on bidding activities according to the key data and issue warnings when risks exist, and includes the following assessment models:

[0068] The expert scoring evaluation model is used to evaluate the expert scores of bidders and issue risk warnings when the expert scores are abnormally high or low. Its purpose is to supervise the subjectivity of the evaluation experts and prevent the evaluation experts from deliberately raising the evaluation score of a bidder or maliciously suppressing the evaluation score of a bidder. The operation logic of the expert scoring evaluation model is: when an expert's evaluation score for a specific bidder exceeds (including or equal to) the abnormally high or low coefficient of the average evaluation score of all experts for the bidder (usually 20%) or when an expert's evaluation score for a specific bidder is lower than (including or equal to) the abnormally high or low coefficient of the average evaluation score of all experts for the bidder (usually 20%), the evaluation model will issue a risk warning. The mathematical model formula of the expert scoring evaluation model is:

[0069] like:

[0070] or

[0071] A risk warning is issued;

[0072] In the formula, X ij is the score given by expert i to bidder j, n is the number of experts, and Y is the coefficient of abnormal high or low score;

[0073] The bid evaluation model is used to analyze the bid price and the winning bid price of each bidder and issue a risk warning when the winning bid price is the highest bid price of all bidders. Its purpose is to prevent phenomena such as "sky-high bids" and "high-price bidding". The highest bid will cause the tenderer's procurement cost to far exceed the market average, which will seriously damage the tenderer's economic benefits. Its operating logic is: when the winning bid price is the highest bid price of all bidders, the evaluation model will issue a risk warning; the mathematical model formula of the bid evaluation model is:

[0074] like:

[0075] P=Max(P1,P2,…,P j ,…,P m ),

[0076] A risk warning is issued;

[0077] In the formula, P j is the bid price of bidder j, m is the number of bidders, and P is the winning bid price;

[0078] The bidding document evaluation model is used to evaluate the bidding documents of each bidder and issue a risk warning when the repetition rate of the bidding documents is greater than or equal to the repetition rate coefficient. Its purpose is to supervise the bidding collusion and avoid multiple bidding documents being prepared by one person or according to a specific template, which will lead to the loss of fairness in bidding and damage to the rights and interests of the tenderer. Its operating logic is: the repetition rate of all bidders' bidding documents is tested in pairs. When the repetition rate of the bidding documents of two of them is greater than (or equal to) the repetition rate coefficient (usually 20%), the evaluation model will issue a risk warning. The warning mathematical model formula of the bidding document evaluation model is:

[0079] like:

[0080] R jk ≥L,

[0081] A risk warning is issued;

[0082] In the formula, R jk is the repetition rate of the bid texts of bidder j and bidder k, and L is the repetition coefficient;

[0083] The competitive evaluation model is used to sort the final technical scores of all bidders from large to small, and issue a risk warning when the difference between the highest technical score and the second highest technical score is greater than the technical score difference coefficient. Its purpose is to monitor whether the setting of the bidding documents is biased towards a specific bidder, causing other bidders to lose competitiveness. Its operating logic is: sort the final technical scores of all bidders from large to small, subtract the second highest technical score from the highest technical score, and when the difference is greater than (or equal to) the technical score difference coefficient (usually 10 points), the evaluation model will issue a risk warning; the mathematical model formula of the competitive evaluation model is:

[0084] like:

[0085] T1-T2 ≥ H,

[0086] A risk warning is issued;

[0087] In the formula, T1 is the highest technical score among the bidder's final technical scores, T2 is the second highest technical score among the bidder's final technical scores, and H is the technical score difference coefficient;

[0088] The low-price bidding evaluation model is used to evaluate the bids of each bidder and issue a risk warning when the bid price of a bidder is less than or equal to the lowest price budget coefficient range of the project budget price or the lowest price coefficient range of the average bid price of other bidders. Its purpose is to prevent bidders from maliciously bidding at a price lower than the market price, or lowering the price score by bidding at a low price to affect other bidders, thereby creating advantages for specific bidders and colluding to bid. Low-price bidding will lead to the quality of the project not being guaranteed and greatly increase the performance risk of the project. The formation of a bid-rigging situation will also make the bidding project lose its market competitiveness and damage the interests of the tenderer. Its operating logic is: when a bidder's bid price is lower than (or equal to) the lowest price budget coefficient range of the project budget price (usually 50%) or when a bidder's bid price is lower than (or equal to) the lowest price coefficient range of the average bid price of other bidders (usually 20%), the evaluation model will issue a risk warning. The mathematical model formula of the low-price bidding evaluation model is:

[0089] like:

[0090] Min(P1, P2, ..., P j ,…,P m )≤P y Q1

[0091] or

[0092]

[0093] A risk warning is issued;

[0094] In the formula, P jis the bid price of bidder j, m is the number of bidders, P y is the budget price, Q1 is the lowest price budget coefficient, and Q2 is the lowest price coefficient.

[0095] The bidding and tendering warning module can issue different warning risks according to the number of risk warnings. One risk warning is a level one risk, two risk warnings are level two risks, and the highest can be level five risks.

[0096] These five evaluation models are the key to the procurement system's ability to achieve quantifiable bidding warnings. Assessing risks based on specific data and the results of mathematical operations can reduce errors and misleadings caused by human factors and subjective judgments, and improve the accuracy, objectivity and scientificity of bidding risk warnings.

[0097] The contract module 4 includes a contract signing submodule, a contract change submodule, and a contract query submodule. The contract signing submodule is used to sign the contract after the purchase or bidding is completed, the contract change submodule is used to change the contract, and the contract query submodule is used to query the details of the contract.

[0098] The performance bond module 5 includes a performance bond collection submodule, a performance bond refund submodule, and a performance bond query submodule. The performance bond collection submodule is used to complete the collection of the bond after the contract is signed, the performance bond refund submodule is used to refund the bond, and the performance bond query submodule is used to query the progress of the collection and refund of the bond.

[0099] The acceptance module 6 includes an acceptance initiation submodule, an acceptance handling submodule and an acceptance query submodule. The acceptance initiation submodule is used to initiate acceptance after the contract is fulfilled, the acceptance handling submodule is used to execute acceptance, and the acceptance query submodule is used to query the progress of acceptance.

[0100] The payment module 7 includes a progress payment submission submodule, a final payment submission submodule and a payment query submodule. The progress payment submission submodule is used to submit progress payments, and the final payment submission submodule is used to submit final payments. The progress payment submission submodule and the final payment submission submodule cooperate to execute payment, and the payment query submodule is used to query payment information.

[0101] The supplier management module 8 includes a procurement announcement submodule, a supplier warehousing submodule, a performance evaluation submodule and a supplier query submodule. The procurement announcement submodule is used to publicize procurement information, the supplier warehousing submodule is used to introduce new suppliers, the performance evaluation submodule is used to evaluate the supplier's contract performance, and the supplier query submodule is used to query the supplier's historical cooperation information.

[0102] The government procurement cloud platform 9 is connected to the procurement execution module 2 and the bidding warning module 3, and is used to generate order data and bidding data, pass the order data to the procurement module 2, the procurement module 2 purchases according to the order data, and passes the bidding data to the quantifiable risk identification submodule and risk assessment submodule of the bidding warning module 3.

[0103] The discipline inspection commission platform 10 is connected to the bidding early warning module, and is used to receive the bidding announcement and the winning bid announcement issued by the bidding early warning module and supervise the bidding activities, and remind the discipline inspection personnel to intervene and verify when the bidding early warning module issues an early warning.

[0104] The above-mentioned government procurement cloud platform 9 and the discipline inspection commission platform 10 are both connected to the bidding early warning module. The early warning function operation logic of the bidding early warning module is as follows: Figure 3 As shown, during the bidding process, the government procurement cloud platform 9 will send the bidding data to the bidding early warning module 3, and the bidding early warning module 3 will synchronously transmit the data to the quantifiable risk identification submodule 13. The quantifiable risk identification submodule 13 will extract key data for the five quantifiable risks of abnormally high or low expert scores, the highest winning bid price, abnormal consistency of bidding documents, lack of competitiveness of the project, and low-price bidding, and transmit the data to the risk assessment submodule 14. The risk assessment submodule 14 proposes a corresponding mathematical evaluation model for the five quantifiable risks in the quantifiable risk identification submodule 13, aiming to accurately give risk warnings through data calculations, avoid interference from human subjective factors, and decide whether to issue risk warnings based on the evaluation results. The risk warning information will be transmitted to the discipline inspection platform 10 to remind discipline inspection personnel to intervene in the review in a timely manner to prevent procurement rent-seeking.

[0105] The financial platform 12 is connected to the payment module 7. The payment module 7 will push the payment application of the procurement system, and at the same time, the procurement information required for payment will be pushed to the financial platform synchronously to reduce the workload of the person filling out the reimbursement form. The financial platform 12 is used to receive the payment application and procurement information from the payment module 7, and return the payment data after the payment is completed, so that the procurement system can track the payment progress of the contract.

[0106] The entire procurement system is connected to the audit platform 11, which will support single sign-on of the audit platform. All data will be open to the audit platform to facilitate auditors to supervise the compliance and legality of procurement.

[0107] The present invention is described in detail above in conjunction with the embodiments, but the contents described are only preferred embodiments of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of application of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A bidding early warning system linked to a government procurement cloud platform, characterized by: It includes a bidding early warning module, which is connected to the government procurement cloud platform in communication; The bidding early warning module includes: The quantifiable risk identification submodule is used to extract key data based on quantifiable risks. The quantifiable risks include abnormally high or low expert scores, the highest winning bid price, abnormal consistency of bidding documents, abnormal differences in technical scores of bidders, and low-price bidding. The extracted key data include: expert scores for each bidder, the bid price and winning bid price of each bidder, the bidding documents of each bidder, and the final technical score of each bidder; The risk assessment submodule is used to conduct risk assessment on bidding activities based on key data and issue warnings when risks exist. The risk assessment submodule includes the following assessment models: Expert scoring evaluation model, which is used to evaluate experts' scores on bidders and issue risk warnings when experts' scores are abnormally high or low; The bid evaluation model is used to analyze the bid price and winning bid price of each bidder and issue a risk warning when the winning bid price is the highest bid price of all bidders; The bidding document evaluation model is used to evaluate the bidding documents of each bidder and issue a risk warning when the repetition rate of the bidding documents is greater than or equal to the repetition rate coefficient; A competitive evaluation model is used to sort the final technical scores of all bidders from highest to lowest and issue a risk warning when the difference between the highest technical score and the second highest technical score is greater than the technical score difference coefficient; The low-price bidding evaluation model is used to evaluate the bids of each bidder and issue a risk warning when the bid price of a bidder is less than or equal to the lowest price budget coefficient range of the project budget price or the lowest price coefficient range of the average bid price of other bidders; The government procurement cloud platform is used to execute bidding and generate bidding data and pass the bidding data to the bidding early warning module.

2. The bidding early warning system linked with the government procurement cloud platform according to claim 1 is characterized by: The mathematical model formula of the expert scoring evaluation model is: like: or A risk warning is issued; In the formula, X ij is the score given by expert i to bidder j, n is the number of experts, and Y is the coefficient of abnormal high or low.

3. The bidding early warning system linked with the government procurement cloud platform according to claim 1 is characterized by: The mathematical model formula of the bid evaluation model is: like: P=Max(P1,P2,…P j ,…,P m ), A risk warning is issued; In the formula, P j is the bid price of bidder j, m is the number of bidders, and P is the winning bid price.

4. The bidding early warning system linked with the government procurement cloud platform according to claim 1 is characterized by: The mathematical model formula of the bidding document evaluation model is: like: R jk ≥L, A risk warning is issued; In the formula, R jk is the repetition rate of the bidding documents of bidder j and bidder k, and L is the repetition coefficient.

5. The bidding early warning system linked with the government procurement cloud platform according to claim 1 is characterized by: The mathematical model formula of the competitive evaluation model is: like: T1-T2≥H, A risk warning is issued; In the formula, T1 is the highest technical score among the bidder's final technical scores, T2 is the second highest technical score among the bidder's final technical scores, and H is the technical score difference coefficient.

6. The bidding early warning system linked with the government procurement cloud platform according to claim 1 is characterized by: The mathematical model formula of the low-price bidding evaluation model is: like: Min(P1,P2,…,P j ,…,P m )≤P y ·Q1 or A risk warning is issued; In the formula, P j is the bid price of bidder j, m is the number of bidders, P y is the budget price, Q1 is the lowest price budget coefficient, and Q2 is the lowest price coefficient.

7. The bidding early warning system linked with the government procurement cloud platform according to claim 1 is characterized by: The bidding early warning module also includes a procurement document countersignature submodule, an evaluation result countersignature submodule, and a bidding query submodule. The procurement document countersignature submodule is used to realize the internal enterprise check and approval function of the bidding document, the evaluation result countersignature submodule is used to realize the internal enterprise check and approval function of the bidding result, and the bidding query submodule is used to realize the query function of previous bidding projects; The bid early warning system also includes: The purchase application module includes the application submission submodule, the application approval submodule and the application query submodule. The application submission submodule is used to submit purchase applications and apply for budget amounts. The application approval submodule is used to approve purchase applications submitted by users. The application query submodule is used to view application information submitted by users. The procurement execution module includes a procurement execution submodule, a result approval submodule, and a procurement execution query submodule. The procurement execution submodule is used to execute procurement when the application budget amount is less than the bidding limit, the result approval submodule is used to approve the procurement execution results, and the procurement execution query submodule is used to query procurement information; The contract module includes a contract countersignature submodule, a contract change submodule, and a contract query submodule. The contract countersignature submodule is used to sign a contract after the purchase or bidding is completed, the contract change submodule is used to change the contract, and the contract query submodule is used to query the details of the contract; The performance bond module includes a performance bond collection submodule, a performance bond refund submodule, and a performance bond query submodule. The performance bond collection submodule is used to complete the collection of the bond after the contract is signed, the performance bond refund submodule is used to refund the bond, and the performance bond query submodule is used to query the progress of the collection and refund of the bond; The acceptance module includes an acceptance initiation submodule, an acceptance handling submodule, and an acceptance query submodule. The acceptance initiation submodule is used to initiate acceptance after the contract performance is completed, the acceptance handling submodule is used to execute the acceptance, and the acceptance query submodule is used to query the progress of the acceptance; The payment module includes a progress payment submission submodule, a final payment submission submodule and a payment query submodule. The progress payment submission submodule is used to submit progress payments, and the final payment submission submodule is used to submit final payments. The progress payment submission submodule and the final payment submission submodule cooperate to execute payment, and the payment query submodule is used to query payment information. The supplier management module includes a procurement announcement submodule, a supplier entry submodule, a performance evaluation submodule and a supplier query submodule. The procurement announcement submodule is used to publicize procurement information, the supplier entry submodule is used to introduce new suppliers, the performance evaluation submodule is used to evaluate the supplier's contract performance, and the supplier query submodule is used to query the supplier's historical cooperation information.

8. The bidding early warning system linked with the government procurement cloud platform according to claim 7 is characterized by: The bidding early warning module is also connected to the following platforms: The Discipline Inspection Commission platform is connected to the bidding and tendering early warning module, and is used to receive the bidding announcements and winning announcements issued by the bidding and tendering early warning module and supervise the bidding activities. When the bidding and tendering early warning module issues an early warning, it reminds the discipline inspection personnel to intervene and verify; the financial platform is connected to the payment module, and is used to receive the payment application and procurement information from the payment module, and return the payment data after the payment is completed; The audit platform, connected to the bid early warning system, is used by auditors to monitor the compliance and legality of procurement.

9. The bidding early warning system linked with the government procurement cloud platform according to claim 8 is characterized by: The government procurement cloud platform is also connected to the procurement execution module to transmit the order data in the government procurement cloud platform to the procurement execution module.

Images