CN114066336A - Bidding risk control method and device - Google Patents

Bidding risk control method and device Download PDF

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CN114066336A
CN114066336A CN202210053318.0A CN202210053318A CN114066336A CN 114066336 A CN114066336 A CN 114066336A CN 202210053318 A CN202210053318 A CN 202210053318A CN 114066336 A CN114066336 A CN 114066336A
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risk
information
project
target
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CN114066336B (en
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魏红强
余大勇
陈飞
易田田
于洪涛
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Zhuhai Dahengqin Technology Development Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/08Auctions

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Abstract

The invention provides a method and a device for controlling bidding risk, wherein the method comprises the following steps: acquiring bidding project information of a bidding project object, and determining a plurality of risk factors and the weight of each risk factor according to the bidding project information; acquiring attribute information of a bidding object for bidding a bidding project object, and determining risk data of the bidding object for each risk factor according to the attribute information; determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor; acquiring the quotation information of a bidding object aiming at a bidding project object under the condition that the risk degree meets a preset risk condition; according to the quotation information, the quotation limitation of the target preset level is executed on the bidding object, the intelligent identification of the malicious low-price bidding behavior is realized, the manual analysis is not needed, the human resource is saved, and the defect of manual identification is overcome.

Description

Bidding risk control method and device
Technical Field
The invention relates to the technical field of computers, in particular to a bidding risk control method and device.
Background
With the technology becoming mature and the division of industrial chain becoming more and more delicate, more and more enterprises do technical deep ploughing in a certain area or a certain node of the industrial chain, so that more and more enterprises participate in the completion of the whole industrial chain, and the association among the enterprises of different industries is generated, thereby forming the supply and demand relationship among the enterprises in each industry. A direct manifestation of supply and demand relationships is business collaboration. The homogeneity of commodities and technologies is increased day by day, and finding a proper business partner and a searching mode are particularly important.
The open bid refers to a purchasing mode that a buyer invites all potential unspecified suppliers to bid by issuing a bid notice according to a legal procedure, and the buyer selects a winning bid supplier from all bid suppliers preferentially according to a certain predetermined standard and signs a purchasing contract with the winning bid supplier. Public bidding has numerous advantages: (1) fairness: the public bidding enables bidders interested in the bidding project and meeting the bidding conditions to enjoy bidding rights and opportunities in a fair competitive environment; (2) the price is reasonable: based on open competition, each bidder strives to contract according to the open competition, and the price is reasonable instead of considering or particularly limiting to stipulate the selling price; and the bidding is open, each bidder is free to compete, and the bidder can obtain the most competitive price; (3) and (3) improving the quality: because of open bidding, the product specifications or construction methods of each competitive bidding are different, the tenderers can know the technical level and the development trend, and the quality of the tenderers is improved; (4) reducing illicit committing gains: the information is disclosed, so that transactants are difficult to gain illegalities, the influence of human relation can be avoided, and operation troubles are reduced; (5) and (3) understanding the source: more bidders can be offered in an open bidding mode, and supply sources are expanded. In view of the numerous advantages of public bidding, and with the maturity of internet and information technology, the technology is more and more applied to business purchasing, such as purchasing goods, services, technologies and even research and development cooperation.
However, there are some problems in the real public bidding activities, the most critical of which is that the bidders are not controlled and the bidding responsible persons are not good and uniform, so that some non-responsible bidding responsible persons can easily perform malicious low-price bidding, and once the bidding responsible persons are not good, the completion quality is not satisfactory and even the project fails. At present, aiming at malicious low-price bid-robbing behaviors, manual identification is usually adopted, and the problems of great manpower resource consumption, careless mistakes, easy influence of artificial subjective judgment and the like exist. In view of the fact that commercial purchases increasingly adopt public bidding, the problem of identifying and controlling the malicious bidding is significant.
Disclosure of Invention
In view of the above, a method and apparatus are proposed to provide bidding risk control that overcomes or at least partially addresses the above problems, comprising:
a method of bidding risk control, the method comprising:
acquiring bidding project information of a bidding project object, and determining a plurality of risk factors and the weight of each risk factor according to the bidding project information;
acquiring attribute information of a bidding object which offers the bidding project object, and determining risk data of the bidding object for each risk factor according to the attribute information;
determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor;
acquiring the quotation information of the bidding target for the bidding project target under the condition that the risk degree meets a preset risk condition;
and executing quotation limitation of a target preset level on the bidding object according to the quotation information.
Optionally, the obtaining attribute information of a bid object that offers for the bid item object includes:
acquiring one or more pieces of completion acceptance data corresponding to a bid object quoted for the bid item object, wherein each piece of completion acceptance data corresponds to an completion item object;
acquiring completion project information corresponding to the completion project object, and determining attribute information of the bid object according to the completion acceptance data and the completion project information.
Optionally, the determining a plurality of risk factors and the weight of each risk factor according to the bidding project information includes:
determining the type of the bidding project object according to the bidding project information, and determining an approximate project object set which has the same type as the bidding project object and is in an accepted state from a preset database;
and acquiring acceptance information of the approximate project object to obtain an acceptance information set, and determining a plurality of risk factors and the weight of each risk factor according to the acceptance information set.
Optionally, the performing, according to the offer information, an offer restriction of a target preset level on the bid object includes:
and under the condition that the price corresponding to the quotation information is lower than a first preset price, executing quotation limitation of a forbidden level on the bidding object.
Optionally, the performing, according to the offer information, an offer restriction of a target preset level on the bid object further includes:
and executing the quotation limitation of the warning level on the bidding object under the condition that the price corresponding to the quotation information is lower than a second preset price.
An apparatus for bidding risk control, the apparatus comprising:
the risk factor module is used for acquiring bidding project information of a bidding project object and determining a plurality of risk factors and the weight of each risk factor according to the bidding project information;
the risk data module is used for acquiring attribute information of a bidding object which quotes for the bidding project object and determining risk data of the bidding object aiming at each risk factor according to the attribute information;
the risk degree module is used for determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor;
the quotation information module is used for acquiring quotation information of the bidding target aiming at the bidding project target under the condition that the risk degree meets a preset risk condition;
and the quotation limiting module is used for executing quotation limitation of a target preset level on the bidding object according to the quotation information.
Optionally, the risk data module includes:
the completion acceptance data submodule is used for acquiring one or more pieces of completion acceptance data corresponding to a bidding object quoted for the bidding project object, and each piece of completion acceptance data corresponds to one completion project object;
and the attribute information submodule is used for acquiring completion project information corresponding to the completion project object and determining the attribute information of the bidding object according to the completion acceptance data and the completion project information.
Optionally, the risk factor module includes:
the approximate item object submodule is used for determining the type of the bidding item object according to the bidding item information and determining an approximate item object set which has the same type as the bidding item object and is in an accepted state from a preset database;
and the risk factor submodule is used for acquiring acceptance information of the approximate project object to obtain an acceptance information set, and determining a plurality of risk factors and the weight of each risk factor according to the acceptance information set.
An electronic device comprising a processor, a memory and a computer program stored on the memory and being executable on the processor, the computer program, when executed by the processor, implementing a method of bidding risk control as described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of tendering risk control as described above.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, a plurality of risk factors and the weight of each risk factor are determined by acquiring the bidding item information of a bidding item object and according to the bidding item information; acquiring attribute information of a bidding object which offers the bidding project object, and determining risk data of the bidding object for each risk factor according to the attribute information; determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor; acquiring the quotation information of the bidding target for the bidding project target under the condition that the risk degree meets a preset risk condition; and executing target preset-level quotation limitation on the bidding object according to the quotation information, realizing intelligent identification of malicious low-price bidding behavior, needing no manual analysis, saving human resources and overcoming the defects of manual identification.
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In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart illustrating steps of a method for bidding risk control according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of another method for tender risk control according to an embodiment of the present invention;
fig. 3 is a block diagram of an apparatus for bidding risk control according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flowchart illustrating steps of a method for bidding risk control according to an embodiment of the present invention is shown, which may specifically include the following steps:
step 101, acquiring bidding item information of a bidding item object, and determining a plurality of risk factors and the weight of each risk factor according to the bidding item information;
wherein the bid item object is pre-created with corresponding bid item information that can be input by the bid object when the bid item object is created.
As an example, the bidding project information may include information on project size, technical field, technical difficulty, construction period, and the like.
The completion quality of the bidding project object can comprise whether the bidding project object can be completed in time and the result quality. The risk factors may be factors that characterize the quality of completion that affects the bidding project object.
As an example, the risk factor may be technical ability, and for bidding project objects with higher technical difficulty, bidding objects with lower technical ability face a risk that quality cannot be guaranteed.
The risk factors are different for different bidding project objects and the weights of the risk factors are also different. For example, in projects where the technical difficulty requirement is high, the technical risk factor is weighted higher.
The risk factors and their weights may be assessed in advance by experts, may be input when creating the bidding project object, or may be calculated from the acceptance data of other bidding project objects that are the same or similar.
In order to realize the bidding risk early warning, the bidding item information corresponding to the bidding item object can be acquired, and then a plurality of risk factors determining the completion quality of the bidding item object and the weight of each risk factor can be determined according to the bidding item information so as to carry out the bidding risk early warning.
102, acquiring attribute information of a bidding object for bidding the bidding project object, and determining risk data of the bidding object for each risk factor according to the attribute information;
the attribute information may include capability information for the bid object, such as funding capability, technical capability, management capability, and the like, among others.
In practical applications, the bid object offers for the bid item object, and the characterization bid object bids for the bid item object.
In order to implement bidding risk control, one or more bidding objects that are to be bid for a bidding item object may be determined from monitoring the bidding status of the bidding item object, and attribute information thereof may be acquired for each bidding object.
Further, the risk data for each risk factor may be determined according to the attribute information of the bid object. The risk data may characterize the ability of the bidding object to respond to the risk factor.
As an example, the plurality of risk factors includes a technical risk factor, and the risk data for the technical risk factor can be determined according to the technical capability of the bid object.
Step 103, determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor;
to implement bidding risk control, the weight of each risk factor may be employed, and the risk data for each risk factor with which the bid is targeted may be weighted, such that the degree of risk of the bidding target for the bidding item target may be determined.
The risk degree can represent whether the bidding target can complete the bidding project corresponding to the bidding project target on time or not, and the risk of high and low achievement quality.
104, acquiring the quotation information of the bidding target for the bidding project target under the condition that the risk degree meets a preset risk condition;
in a specific implementation, a risk line may be set in advance, which represents whether the bidding project corresponding to the bidding project object can be completed on time, and a risk boundary with high achievement quality and low achievement quality.
If the risk degree of the bidding target meets the preset risk condition (is lower than or equal to the risk line), the higher the risk that the bidding target cannot complete or the achievement quality is poor is indicated, and if the preset risk condition (higher than the risk line) is not met, the stronger the ability of the bidding target is indicated, the bidding project corresponding to the bidding project target can be completed on time, or the achievement quality is higher.
And then the calculated risk degree of the bidding risk object can be adopted to be compared with the preset risk condition, and under the condition that the risk degree meets the preset risk condition, the bidding object can be judged to exist, so that the bidding item corresponding to the bidding item object cannot be completed, or the result quality is not good.
And taking the result of the risk degree judgment as a probability, and further acquiring the quotation information of the bidding target for the bidding project target in order to improve the accuracy of bidding risk control.
And 105, executing quotation limitation of a target preset level on the bidding object according to the quotation information.
In order to improve the accuracy of bid inviting risk control and avoid accidental injury to bidders who are not malicious low-price bid, on the basis of judging that the service capacity of a bid object is poor and risks exist, whether the bid object forms malicious low-price bid behavior or not can be further judged according to the bid information of the bid object aiming at a bid inviting project object, and therefore the bid object can be subjected to target preset-level bid limitation according to the judgment result.
For example, when it is determined that the bid target constitutes malicious low-price bidding behavior, the bid target may be prohibited from making a bid by using a bid restriction of a prohibition level, and the bid target may be forcibly deleted.
In the embodiment of the invention, a plurality of risk factors and the weight of each risk factor are determined by acquiring the bidding item information of a bidding item object and according to the bidding item information; acquiring attribute information of a bidding object which offers the bidding project object, and determining risk data of the bidding object for each risk factor according to the attribute information; determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor; acquiring the quotation information of the bidding target for the bidding project target under the condition that the risk degree meets a preset risk condition; and executing target preset-level quotation limitation on the bidding object according to the quotation information, realizing intelligent identification of malicious low-price bidding behavior, needing no manual analysis, saving human resources and overcoming the defects of manual identification.
Referring to fig. 2, a flowchart illustrating steps of another method for bidding risk control according to an embodiment of the present invention is shown, which may specifically include the following steps:
step 201, acquiring bidding item information of a bidding item object;
step 202, determining the type of the bidding project object according to the bidding project information, and determining an approximate project object set which has the same type as the bidding project object and is in an accepted state from a preset database;
the preset database can be used for storing the bidding project objects which are created in history and the corresponding bidding project information.
In a specific implementation, the type of the bidding project object, such as capital construction project, goods supply, software development, and the like, may be determined according to the bidding project information of the bidding project object, and then a plurality of approximate project objects, which are the same as the bidding project object in type and in an accepted state, may be determined from preset data, to obtain an approximate project object set.
Step 203, obtaining acceptance information of the approximate project object to obtain an acceptance information set, and determining a plurality of risk factors and the weight of each risk factor according to the acceptance information set;
the accepted approximate project object can have corresponding acceptance information, and the acceptance information can reflect the completion quality of the approximate project object, including whether the completion is completed on time and the result quality. The acceptance information may be added when the bidding object accepts the project.
In order to realize bidding risk control, corresponding acceptance information of the approximate project objects in the approximate project object set can be obtained to obtain an acceptance information set, and then a plurality of risk factors and the weight of each risk factor can be determined according to the acceptance information set.
Specifically, the weight of the risk factor may be determined according to the frequency of occurrence of the risk factor in the acceptance information. If a risk factor repeatedly appears in a plurality of acceptance messages, particularly in acceptance messages with bad evaluation results, it can be determined that the weight of the risk factor is high.
Step 204, acquiring one or more pieces of as-built acceptance data corresponding to a bid object quoted for the bid object, wherein each as-built acceptance data corresponds to an as-built project object;
the method for acquiring the attribute information of the bidding object can be evaluated by experts, but the method often has personal subjective interference and depends on data presented by the bidding object, so that the service capability evaluation aiming at the bidding object is often inaccurate, and the accurate attribute information of the bidding object cannot be acquired.
In order to more accurately acquire attribute information of a bid object, one or more pieces of as-built acceptance data of the bid object may be acquired. Each of the as-built acceptance data corresponds to an as-built project object that is a bid item object accepted in the past by the bid object. As-built acceptance data may be acceptance information for as-built project objects, which may be created by a corresponding tenderer at the time of acceptance.
Step 205, acquiring completion project information corresponding to the completion project object, and determining attribute information of the bid object according to the completion acceptance data and the completion project information;
in order to accurately calculate the service capability of the bid object and determine the attribute information of the bid object, as-built project information corresponding to the as-built project object may be further acquired, and the attribute information of the bid object may be further determined based on the as-built acceptance data and the as-built project information.
As an example, as-built project information characterizes the corresponding project with technical, capital, and administrative three-dimensional requirements, which have specific preset levels or values. And the corresponding completion acceptance data indicates that the completion quality of the bid item object meets the requirement, and indicates that the technical, capital and management service capacity of the bid object meets the specific grade or numerical value of the corresponding service capacity requirement, so that the service capacity of the bid object can be determined according to the service capacity requirement corresponding to the completion item information, and the attribute information of the bid object can be determined according to the service capacity of the bid service object.
Step 206, determining risk data of the bidding target for each risk factor according to the attribute information;
step 207, determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor;
step 208, acquiring the quotation information of the bidding target for the bidding project target under the condition that the risk degree meets a preset risk condition;
and 209, executing the quotation limitation of the target preset level on the bidding object according to the quotation information.
In an embodiment of the present invention, step 209 may include the following sub-steps:
a substep S11 of executing a prohibition level of bid restriction on the bid object when the price corresponding to the bid information is lower than a first preset price;
and a substep S12 of executing a warning-level quotation restriction on the bid object when the price corresponding to the quotation information is lower than a second preset price.
In order to identify malicious low-price bidding, a first preset price and a second preset price may be set by an expert according to a general price evaluated by a market price for a bidding item object.
The first preset price is used for representing a price greatly different from the general price, and the malicious low-price bidding can be considered as being lower than the first preset price.
Under the condition that the risk degree of the bidding object is high and the price corresponding to the quotation information is lower than the first preset price, malicious low-price bidding of the bidding object can be determined, and the quotation limitation of a forbidden level can be adopted.
The second preset price is used for representing the price which is obviously lower than the common price, and the suspicion of malicious low-price bid is existed.
Under the condition that the risk degree of the bidding object is higher and the price corresponding to the quotation information is lower than the second preset price, the fact that the bidding object is suspected of malicious low-price bidding can be determined, and quotation limitation of a warning level can be adopted for the bidding object.
As an example, a warning message may be sent to a user terminal corresponding to the bid object to inform the bid object to change the offer information.
In an embodiment of the invention, by acquiring bidding project information of a bidding project object, determining a type of the bidding project object according to the bidding project information, determining an approximate project object set which is the same as the bidding project object and is in an accepted state from a preset database, acquiring acceptance information of the approximate project object, obtaining an acceptance information set, determining a plurality of risk factors and a weight of each risk factor according to the acceptance information set, acquiring one or more pieces of completion acceptance data corresponding to a bidding object quoted for the bidding project object, each piece of completion acceptance data corresponding to an completion project object, acquiring completion project information corresponding to the completion project object, and determining attribute information of the bidding project object according to the completion acceptance data and the completion project information, according to the attribute information, determining risk data of the bidding object aiming at each risk factor, determining the risk degree of the bidding object aiming at the bidding project object by adopting the weight of each risk factor and the risk data of the bidding object aiming at each risk factor, acquiring quotation information of the bidding object aiming at the bidding project object under the condition that the risk degree meets a preset risk condition, and executing quotation limitation of a target preset level on the bidding object according to the quotation information, so that the intelligent identification of malicious low-price bidding behaviors is realized, manual analysis is not needed, human resources are saved, and the defects of manual identification are overcome.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 3, a schematic structural diagram of a device for bidding risk control according to an embodiment of the present invention is shown, which may specifically include the following modules:
a risk factor module 301, configured to obtain bidding item information of a bidding item object, and determine a plurality of risk factors and a weight of each risk factor according to the bidding item information;
a risk data module 302, configured to acquire attribute information of a bidding object that offers the bidding project object, and determine risk data of the bidding object for each risk factor according to the attribute information;
a risk degree module 303, configured to determine a risk degree of the bidding target for the bidding project target by using the weight of each risk factor and the risk data of the bidding target for each risk factor;
a quotation information module 304, configured to obtain quotation information of the bidding target for the bidding project target when the risk degree meets a preset risk condition;
and a quotation limiting module 305, configured to perform quotation limitation of a target preset level on the bidding target according to the quotation information.
In an embodiment of the present invention, the risk data module 302 includes:
the completion acceptance data submodule is used for acquiring one or more pieces of completion acceptance data corresponding to a bidding object quoted for the bidding project object, and each piece of completion acceptance data corresponds to one completion project object;
and the attribute information submodule is used for acquiring completion project information corresponding to the completion project object and determining the attribute information of the bidding object according to the completion acceptance data and the completion project information.
In an embodiment of the present invention, the risk factor module 301 includes:
the approximate item object submodule is used for determining the type of the bidding item object according to the bidding item information and determining an approximate item object set which has the same type as the bidding item object and is in an accepted state from a preset database;
and the risk factor submodule is used for acquiring acceptance information of the approximate project object to obtain an acceptance information set, and determining a plurality of risk factors and the weight of each risk factor according to the acceptance information set.
In an embodiment of the present invention, the quotation limiting module 305 may include:
and the price forbidding submodule is used for executing price restriction of forbidding level on the bidding object under the condition that the price corresponding to the price information is lower than a first preset price.
In an embodiment of the present invention, the quotation limiting module 305 may include:
and the warning quotation sub-module is used for executing quotation limitation of a warning level on the bidding object under the condition that the price corresponding to the quotation information is lower than a second preset price.
An embodiment of the present invention also provides an electronic device, which may include a processor, a memory, and a computer program stored on the memory and capable of running on the processor, where the computer program, when executed by the processor, implements the method for risk control as described above.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the above method for bidding risk control.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and apparatus for bidding risk control, the electronic device, and the storage medium provided above are introduced in detail, and the principle and the implementation of the present invention are explained herein by applying specific examples, and the above descriptions of the embodiments are only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A method of bidding risk control, the method comprising:
acquiring bidding project information of a bidding project object, and determining a plurality of risk factors and the weight of each risk factor according to the bidding project information;
acquiring attribute information of a bidding object which offers the bidding project object, and determining risk data of the bidding object for each risk factor according to the attribute information;
determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor;
acquiring the quotation information of the bidding target for the bidding project target under the condition that the risk degree meets a preset risk condition;
and executing quotation limitation of a target preset level on the bidding object according to the quotation information.
2. The method of claim 1, wherein obtaining attribute information of a bid object offering the bid item object comprises:
acquiring one or more pieces of completion acceptance data corresponding to a bid object quoted for the bid item object, wherein each piece of completion acceptance data corresponds to an completion item object;
acquiring completion project information corresponding to the completion project object, and determining attribute information of the bid object according to the completion acceptance data and the completion project information.
3. The method of claim 1 or 2, wherein determining a plurality of risk factors and a weight for each risk factor based on the tender item information comprises:
determining the type of the bidding project object according to the bidding project information, and determining an approximate project object set which has the same type as the bidding project object and is in an accepted state from a preset database;
and acquiring acceptance information of the approximate project object to obtain an acceptance information set, and determining a plurality of risk factors and the weight of each risk factor according to the acceptance information set.
4. The method of claim 1, wherein performing a bid restriction on the bid object at a target preset level according to the bid information comprises:
and under the condition that the price corresponding to the quotation information is lower than a first preset price, executing quotation limitation of a forbidden level on the bidding object.
5. The method according to claim 1 or 4, wherein the performing of the bid restriction of the bid object to a target preset level according to the bid information further comprises:
and executing the quotation limitation of the warning level on the bidding object under the condition that the price corresponding to the quotation information is lower than a second preset price.
6. An apparatus for bidding risk control, the apparatus comprising:
the risk factor module is used for acquiring bidding project information of a bidding project object and determining a plurality of risk factors and the weight of each risk factor according to the bidding project information;
the risk data module is used for acquiring attribute information of a bidding object which quotes for the bidding project object and determining risk data of the bidding object aiming at each risk factor according to the attribute information;
the risk degree module is used for determining the risk degree of the bidding target for the bidding project target by adopting the weight of each risk factor and the risk data of the bidding target for each risk factor;
the quotation information module is used for acquiring quotation information of the bidding target aiming at the bidding project target under the condition that the risk degree meets a preset risk condition;
and the quotation limiting module is used for executing quotation limitation of a target preset level on the bidding object according to the quotation information.
7. The apparatus of claim 6, wherein the risk data module comprises:
the completion acceptance data submodule is used for acquiring one or more pieces of completion acceptance data corresponding to a bidding object quoted for the bidding project object, and each piece of completion acceptance data corresponds to one completion project object;
and the attribute information submodule is used for acquiring completion project information corresponding to the completion project object and determining the attribute information of the bidding object according to the completion acceptance data and the completion project information.
8. The apparatus of claim 6 or 7, wherein the risk factor module comprises:
the approximate item object submodule is used for determining the type of the bidding item object according to the bidding item information and determining an approximate item object set which has the same type as the bidding item object and is in an accepted state from a preset database;
and the risk factor submodule is used for acquiring acceptance information of the approximate project object to obtain an acceptance information set, and determining a plurality of risk factors and the weight of each risk factor according to the acceptance information set.
9. An electronic device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing a method of bidding risk control according to any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method of bidding risk control according to any one of claims 1 to 5.
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