CN117172803A

CN117172803A - Bid risk determination method, device, equipment and storage medium

Info

Publication number: CN117172803A
Application number: CN202311136039.1A
Authority: CN
Inventors: 周涛; 潘晓华; 曹明; 周炼; 罗龙建; 黄顺昌
Original assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Current assignee: China Southern Power Grid Digital Platform Technology Guangdong Co ltd
Priority date: 2023-09-04
Filing date: 2023-09-04
Publication date: 2023-12-05

Abstract

The invention discloses a bid risk determining method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining whether the bidding equipment is abnormal according to the equipment information of at least two bidding equipment; determining the similarity between different bidding subjects and bidding documents of target bidding projects, and determining whether the bidding documents are abnormal or not according to the similarity; determining whether the provider is abnormal according to provider information of the provider corresponding to the bidding subject; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information; determining whether the bid-winning data of the bidding subject is abnormal according to the historical bid-winning data of the bidding subject; determining that at least two bidders present a bid risk if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

Description

Bid risk determination method, device, equipment and storage medium

Technical Field

The present invention relates to the field of risk identification technologies, and in particular, to a bid risk determining method, device, apparatus, and storage medium.

Background

Bidding is an organized and standardized transaction operation mode suitable for implementing construction engineering projects and material purchasing behaviors with large investment scale. The method comprises the steps of firstly issuing invitations in a public mode according to the contents such as purchasing rules, conditions and the like of engineering, goods and service items, summoning a plurality of contractors or suppliers, bidding in a secret mode, competing on the basis of public, fair and fair principles, and preferentially selecting a winner through evaluation of bidding institution specifications, thereby achieving the purposes of saving funds and optimizing resource allocation.

However, bid subjects often have a bid-in-bid behavior between them for the purpose of benefit, severely disrupting market order. In order to avoid the bidding behavior of the bidding subjects, the existing bidding risk identification technology generally adopts a single mode, for example, by calculating the similarity between different bidding documents, whether the bidding behavior of the bidding subjects exists or not is identified, and the bidding subjects can actively avoid the bidding process, so that limitations exist.

Disclosure of Invention

The invention provides a bid risk determination method, a device, equipment and a storage medium, which are used for avoiding that a bidding subject deliberately avoids the bid risk from a single dimension and improving the accuracy of bid risk determination.

According to an aspect of the present invention, there is provided a bid risk determining method, the method including:

determining whether the bidding equipment is abnormal according to the equipment information of at least two bidding equipment; wherein, the bidding device is used when bidding the bidding subject to bid the target bidding item;

determining the similarity between different bidding subjects and bidding documents of target bidding projects, and determining whether the bidding documents are abnormal or not according to the similarity;

determining whether the provider is abnormal according to provider information of the provider corresponding to the bidding subject; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information;

determining whether the bid-winning data of the bidding subject is abnormal according to the historical bid-winning data of the bidding subject;

determining that at least two bidders present a bid risk if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

According to another aspect of the present invention, there is provided a bid risk determining apparatus including:

the bidding device determining module is used for determining whether bidding devices are abnormal or not according to the device information of at least two bidding devices; wherein, the bidding device is used when bidding the bidding subject to bid the target bidding item;

The bidding document determining module is used for determining the similarity between bidding documents of different bidding subjects on target bidding projects and determining whether the bidding documents are abnormal or not according to the similarity;

the supplier determining module is used for determining whether the suppliers are abnormal according to supplier information of the suppliers corresponding to the bidding main body; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information;

the bid winning data determining module is used for determining whether bid winning data of the bidding subject are abnormal according to historical bid winning data of the bidding subject;

the bidding risk determination module is used for determining that at least two bidding subjects have bidding risks if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the bid risk determination method of any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to perform the bid risk determination method of any of the embodiments of the present invention.

According to the technical scheme of the embodiment of the invention, whether bidding equipment is abnormal is determined according to the equipment information of at least two bidding equipment; wherein, the bidding device is used when bidding the bidding subject to bid the target bidding item; determining the similarity between different bidding subjects and bidding documents of target bidding projects, and determining whether the bidding documents are abnormal or not according to the similarity; determining whether the provider is abnormal according to provider information of the provider corresponding to the bidding subject; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information; determining whether the bid-winning data of the bidding subject is abnormal according to the historical bid-winning data of the bidding subject; determining that at least two bidders present a bid risk if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly. According to the technical scheme, bid risks possibly existing when bidding items are bid by a bid body are analyzed from multiple dimensions of bid equipment, bid files, suppliers and bid data, analysis of diversified data of the bid body in the bid process is achieved from objective and subjective aspects, the bid risk is avoided from being deliberately avoided from a single dimension by the bid body, and accuracy of bid risk determination is improved.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a bid risk determination method provided in accordance with a first embodiment of the present invention;

FIG. 2 is a flow chart of a bid risk determination method provided in accordance with a second embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating a construction of a bid risk determining apparatus according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device implementing a bid risk determination method according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "object," "first," and "second," and the like in the description and claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In addition, in the technical scheme of the invention, the equipment information, the bidding files, the supplier information, the historical bidding data and other processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the bidding equipment of the bidding subject meet the requirements of related laws and regulations and do not violate the public welfare.

Example 1

Fig. 1 is a flowchart of a bid risk determining method according to an embodiment of the present invention, where the method may be applied to the case of analyzing the bid risk of a bidding subject in a bidding process, and the method may be performed by a bid risk determining apparatus, which may be implemented in hardware and/or software, and may be configured in an electronic device, which may be a server. As shown in fig. 1, the method includes:

s101, determining whether the bidding equipment is abnormal or not according to equipment information of at least two bidding equipment.

The bidding device refers to a device for compiling bidding documents by a bidding subject. It should be noted that one bidding subject corresponds to one bidding device, and different bidding subjects correspond to different bidding devices. The device information refers to information of bidding devices; optionally, the device information includes a device physical address, a device CPU serial number, and a device disk serial number. Wherein the device physical address is used to uniquely identify the bidding device. The device CPU serial number refers to the serial number of the CPU in the bidding device, which is used to uniquely identify the CPU of the bidding device. The device disk serial number refers to the serial number of the disk in the bidding device and is used to uniquely identify the disk of the bidding device. It should be noted that, a bidding device includes at least one disk, one disk corresponds to a serial number of a device disk, and different disks correspond to different serial numbers of a device disk.

Specifically, whether the device identification information of at least two bidding devices is consistent is detected; if yes, determining that at least two bidding devices are abnormal; otherwise, it is determined that at least two bidding devices are normal. Wherein the device identification information refers to information for uniquely identifying the bidding device, for example, the device identification information may be a device physical address; alternatively, the device identification information may take the form of numbers, letters, or numbers plus letters, etc.

Optionally, detecting whether the device physical address, the device CPU serial number and the device disk serial number of at least two bidding devices are consistent; if yes, determining that the bidding equipment is abnormal.

For example, if there are a bid body a, a bid body B, and a bid body C, the bid device corresponding to the bid body a is a bid device 1, the bid device corresponding to the bid body B is a bid device 2, and the bid device corresponding to the bid body C is a bid device 3; detecting whether the device physical addresses, the device CPU serial numbers and the device disk serial numbers of the bidding device 1, the bidding device 2 and the bidding device 3 are consistent, and if the device physical addresses, the device CPU serial numbers and the device disk serial numbers of the bidding device 1 and the bidding device 2 are completely consistent; the device physical address, the device CPU serial number and the device disk serial number of the bidding device 3 are different from the device physical address, the device CPU serial number and the device disk serial number of the bidding device 1 and the device physical address, the device CPU serial number and the device disk serial number of the bidding device 2, and the bidding device 1 and the bidding device 2 are determined to be abnormal and the bidding device 3 is determined to be normal. This means that the bidding devices used by bidding agent a and bidding agent B bid on the target bidding item are the same bidding device, and the bidding device used by bidding agent C bid on the target bidding item is different from the bidding device used by bidding agent a and bidding agent B bid on the target bidding item. The target bidding item refers to a bidding item to be bid by a bidding subject.

It can be understood that according to the equipment information of the equipment physical address, the equipment CPU serial number and the equipment disk serial number of the bidding equipment, rather than only according to certain equipment information of the bidding equipment, whether the bidding equipment adopted by different bidding subjects bidding on the same bidding item is abnormal or not is determined, namely whether the bidding equipment adopted by different bidding subjects bidding on the same bidding item is the same or not is determined, and accuracy of the determination result of the bidding equipment is improved.

S102, determining the similarity between the bidding documents of different bidding subjects on the target bidding project, and determining whether the bidding documents are abnormal or not according to the similarity.

It should be noted that one bidding subject corresponds to one bidding document, and different bidding subjects correspond to different bidding documents.

Specifically, bidding documents and objective terms of a target bidding project can be pre-led into a bidding document similarity analysis model; then, the bidding documents of the target bidding projects are input into a bidding document similarity analysis model by different bidding subjects, and the text similarity of each bidding document and other bidding documents is obtained after the bidding document similarity analysis model is processed; for each bidding document, if the text similarity of the bidding document and other bidding documents is greater than a similarity threshold, determining that the bidding document is abnormal, namely determining that string bidding behaviors exist between bidding subjects of the bidding document and bidding subjects of other bidding documents.

It should be noted that, the bidding document similarity analysis model may be preset according to actual service requirements, for example, the bidding document similarity analysis model may be a TF-IDF (term frequency-inverse document frequency) based bidding document similarity analysis model, for example, the bidding document similarity analysis model may be a cosine distance based bidding document similarity analysis model, which is not specifically limited in the embodiment of the present invention. The similarity threshold value refers to a threshold value of text similarity between every two bidding documents under the same target bidding item; the similarity threshold may be preset according to actual service requirements, for example, the similarity threshold may be 50% or 60%, which is not specifically limited in the embodiment of the present invention.

S103, determining whether the provider is abnormal according to provider information of the provider corresponding to the bidding subject; the provider information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information.

The provider refers to a legal person, other organization or individual who has the ability to provide goods, engineering and services to a purchasing organization. The bidding credit information refers to the credit information of the provider in the historical bidding process. Optionally, the bid credit information includes administrative penalty information and executable personnel information. The administrative punishment information refers to information generated by punishment measures implemented by administrative authorities on citizens, organizations or other agents. The executed person refers to a person who does not perform a court decision or arbitrate decision after the expiration of a legal prosecution or after a final decision is made, and enters into the executing program.

Specifically, for each bidding subject, determining whether the provider corresponding to the bidding subject is abnormal according to at least one provider information of contact information, qualification personnel information, corporate legal information, indicting company information and bidding credit information of the provider corresponding to the bidding subject.

S104, determining whether the bid-winning data of the bidding subject is abnormal or not according to the historical bid-winning data of the bidding subject.

Wherein, the historical bidding data refers to the bidding data of the bidding subject before the bidding subject bids on the target bidding item; optionally, the historical bid data includes historical bid data. The bid winning data refers to bid winning data of the bid body.

Specifically, historical bid data of different bid subjects are input into a bid winning data analysis model, and after the bid winning data analysis model is processed, whether the bid winning data of different bid subjects are abnormal or not is determined. The bid-winning data analysis model can be preset according to actual service requirements, and the bid-winning data analysis model is not particularly limited in the embodiment of the invention.

S105, determining that at least two bidding subjects have bidding risks if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

Specifically, if there are at least two anomalies among the bidding equipment anomalies, the bidding document anomalies, the supply Fang Yichang and the bid data anomalies between at least two bidding subjects, it is determined that there is a bidding risk for at least two bidding subjects.

According to the technical scheme of the embodiment of the invention, whether bidding equipment is abnormal is determined according to the equipment information of at least two bidding equipment; determining the similarity between different bidding subjects and bidding documents of target bidding projects, and determining whether the bidding documents are abnormal or not according to the similarity; determining whether the provider is abnormal according to provider information of the provider corresponding to the bidding subject; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information; determining whether the bid-winning data of the bidding subject is abnormal according to the historical bid-winning data of the bidding subject; determining that at least two bidders present a bid risk if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly. According to the technical scheme, bid risks possibly existing when bidding items are bid by a bid body are analyzed from multiple dimensions of bid equipment, bid files, suppliers and bid data, analysis of diversified data of the bid body in the bid process is achieved from objective and subjective aspects, the bid risk is avoided from being deliberately avoided from a single dimension by the bid body, and accuracy of bid risk determination is improved.

On the basis of the embodiment, as an optional mode of the embodiment of the invention, under the condition that the bidding subject has bidding risk, a corresponding early warning prompt report is generated according to abnormal items met by the bidding subject so as to be referred by staff of a bid evaluation group, thereby improving the recognition efficiency of bidding subject bidding string behaviors and accompanying behaviors in the bidding process, further ensuring fairness of the bidding process and realizing optimal configuration of resources.

For example, in the case that the bidding subject has a bidding risk, if bidding equipment of the bidding subject is abnormal and bid-winning data is abnormal, the generated early warning prompt report includes the following contents:

aiming at abnormal bidding equipment, recording the equipment physical address, the equipment CPU serial number and the equipment disk serial number of the bidding equipment, and the bidding entity using the bidding equipment;

for abnormal bid winning data, the number of bid items commonly participated by different bidding partners and the bid winning rate of different bidding partners are recorded, for example, the number of bid items commonly participated by bidding partners A and B is N, N is a positive integer, the bid winning rate of bidding partner A is 95%, and the bid winning rate of bidding partner B is 0%.

Example two

Fig. 2 is a flowchart of a bid risk determining method according to a second embodiment of the present invention, where the present embodiment further optimizes "determining whether bid winning data of a bidding subject is abnormal according to historical bid winning data of the bidding subject" based on the above embodiment, and provides an alternative implementation. In the embodiments of the present invention, parts not described in detail may be referred to for related expressions of other embodiments.

As shown in fig. 2, the method includes:

s201, determining whether the bidding equipment is abnormal according to equipment information of at least two bidding equipment.

S202, determining the similarity between the bidding documents of different bidding subjects on the target bidding project, and determining whether the bidding documents are abnormal or not according to the similarity.

Alternatively, the text similarity between every two bidding documents under the target bidding item can be calculated; and under the condition that the text similarity is larger than a similarity threshold, determining that the bidding document corresponding to the text similarity is abnormal.

For example, if the similarity threshold is 60%, if there are four bidding partners, namely, bidding partner a, bidding partner B, bidding partner C and bidding partner D, bidding partner a bidding document for the target bidding item is bidding document 1, bidding partner B bidding document for the target bidding item is bidding document 2, bidding partner C bidding document for the target bidding item is bidding document 3, and bidding partner D bidding document for the target bidding item is bidding document 4; calculating text similarity between every two of a bidding document 1, a bidding document 2, a bidding document 3 and a bidding document 4 under a target bidding project; if the text similarity between the bid document 1 and the bid document 2 is 20%, the text similarity between the bid document 1 and the bid document 3 is 60%, the text similarity between the bid document 1 and the bid document 4 is 80%, the text similarity between the bid document 2 and the bid document 3 is 30%, the text similarity between the bid document 2 and the bid document 4 is 25%, and the text similarity between the bid document 3 and the bid document 4 is 70%, it is known that the bid document 1, the bid document 3 and the bid document 4 are abnormal, that is, the bidding string behavior exists among the bid subject a, the bid subject C and the bid subject D.

It can be appreciated that by calculating the similarity between the bid documents of different bid subjects for the target bid item, whether the bid documents are abnormal is determined, and whether the bid string behaviors exist between the bid subjects is determined according to whether the bid documents are abnormal, so that the detection precision of the bid string risk in the bid risk is improved.

S203, determining whether the provider is abnormal according to provider information of the provider corresponding to the bidding subject; the provider information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information.

Optionally, whether the provider is abnormal may be determined according to at least one provider information of provider information, qualification personnel information, corporate legal information and indict company information corresponding to the bidding subject.

For each bidding entity, the contact information of the provider corresponding to the bidding entity is detected, whether the contact information of the provider corresponding to the bidding entity is consistent with the contact information of the provider corresponding to other bidding entities, and if so, the abnormality of the provider corresponding to the bidding entity is determined.

For each bidding entity, whether the information of the qualification personnel of the supplier corresponding to the bidding entity is consistent with the information of the qualification personnel of the suppliers corresponding to other bidding entities is detected, and if so, the abnormality of the supplier corresponding to the bidding entity is determined.

For each bidding subject, whether the corporate legal information of the provider corresponding to the bidding subject is consistent with the corporate legal information of the provider corresponding to other bidding subjects is detected, and if so, the provider corresponding to the bidding subject is determined to be abnormal.

For each bidding subject, whether the information of the indicted company of the supplier corresponding to the bidding subject is consistent with the information of the indicted company of the supplier corresponding to other bidding subjects is detected, and if so, the abnormality of the supplier corresponding to the bidding subject is determined.

For each bidding entity, the contact information and the qualification personnel information of the suppliers corresponding to the bidding entity are detected, whether the contact information and the qualification personnel information of the suppliers corresponding to other bidding entities are consistent, and if so, the suppliers corresponding to the bidding entity are determined to be abnormal.

Optionally, detecting whether bidding violation information exists in bidding credit information of a supplier corresponding to the bidding subject; wherein the bidding credit information includes administrative penalty information and executable information; if so, determining that the provider is abnormal.

The bid violation information refers to the violation information of the provider corresponding to the bidding body in the history bidding process, for example, the bid violation information may be information that the provider corresponding to the bidding body does not fulfill a contract after winning a bid for a certain time.

Specifically, for each bidding subject, whether bidding violation information exists in the bidding credit information of the supplier corresponding to the bidding subject is detected, and if so, the supplier corresponding to the bidding subject is determined to be abnormal.

S204, for each bidding entity, determining the same number of times between the bidding entity and other bidding entities according to the first historical bidding data of the bidding entity and the second historical bidding data of other bidding entities.

Wherein the first historical bid data refers to historical bid data of the bid subject. The second historical bid data refers to historical bid data of other bid subjects. It should be noted that, one bid entity corresponds to one historical bid data, and the number of second historical bid data depends on the number of other bid entities. The number of co-impressions refers to the number of bid items that the bid subject participates in with other bid subjects.

Specifically, for each bid subject, the number of times of bid items the bid subject participates in with other bid subjects is extracted from the first historical bid data of the bid subject and the second historical bid data of other bid subjects as the number of times of co-projects between the bid subject and other bid subjects.

S205, when the same-throw number is larger than the same-throw number threshold, determining the bid winning number of the bidding subject from the same-throw number.

The co-throw frequency threshold may be preset according to actual service requirements, which is not specifically limited in the embodiment of the present invention.

Specifically, when the number of simultaneous impressions is greater than the threshold number of simultaneous impressions, the number of bid-making times by the bidding subject is counted as the number of bid-making times by the bidding subject among bidding items in which the bidding subject and other bidding subjects participate together.

S206, determining the historical bidding times of the bidding subject according to the first historical bidding data.

Specifically, the historical bid times of the bid body are counted from the first historical bid data.

S207, determining the bid winning rate of the bidding subject according to the bid winning times and the historical bid winning times.

Specifically, the ratio of the bid amount to the historical bid amount is used as the bid amount of the bidding subject.

And S208, determining whether the bid-winning data of the bidding subject is abnormal or not according to the comparison result between the bid-winning rate and the bid-winning threshold value.

Wherein, the winning threshold value can be preset according to the actual business requirement, the embodiment of the invention does not limit the winning threshold value in detail,

Specifically, comparing the bid winning rate with a bid winning threshold value, and if the bid winning rate is greater than or equal to the bid winning threshold value, determining that bid winning data of the bidding subject are abnormal; otherwise, determining that the bid winning data of the bidding subject is normal.

S209, determining that at least two bidding subjects have bidding risks if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

According to the technical scheme provided by the embodiment of the invention, from the perspective of the bid winning rate of the bidder, the historical bid data of the bidder are statistically analyzed to determine whether the bid winning data of the bidder are abnormal, so that the determination result of whether the bid winning data are abnormal is more accurate.

Example III

Fig. 3 is a schematic structural diagram of a bidding risk determination apparatus according to a third embodiment of the present invention, where the present embodiment is applicable to a case of analyzing bidding risk of a bidding subject in bidding process, the apparatus may be implemented in hardware and/or software, and may be configured in an electronic device, which may be a server. As shown in fig. 3, the apparatus includes:

a bidding device determining module 301, configured to determine whether bidding devices are abnormal according to device information of at least two bidding devices;

A bid document determining module 302, configured to determine similarities between bid documents of different bid subjects for a target bid item, and determine whether the bid document is abnormal according to the similarities;

a supplier determining module 303, configured to determine whether the supplier is abnormal according to supplier information of the supplier corresponding to the bidding subject; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information;

the bid winning data determining module 304 is configured to determine whether bid winning data of the bidding subject is abnormal according to historical bid data of the bidding subject;

the bid risk determining module 305 is configured to determine that at least two bidding subjects have bid risk if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

Optionally, the device information includes a device physical address, a device CPU serial number, and a device disk serial number.

Optionally, the bidding appliance determination module 301 is specifically configured to:

detecting whether the equipment physical addresses, the equipment CPU serial numbers and the equipment disk serial numbers of at least two bidding equipment are consistent;

if yes, determining that the bidding equipment is abnormal.

Optionally, the bid file determining module 302 is specifically configured to:

calculating text similarity between every two bidding documents under the target bidding item;

and under the condition that the text similarity is larger than a similarity threshold, determining that the bidding document corresponding to the text similarity is abnormal.

Optionally, the supplier determination module 303 is specifically configured to:

and determining whether the provider is abnormal according to at least one provider information of the provider information, the qualification personnel information, the enterprise legal information and the indicting company information corresponding to the bidding main.

detecting whether bidding violation information exists in bidding credit information of a provider corresponding to a bidding subject; wherein the bidding credit information includes administrative penalty information and executable information;

if so, determining that the provider is abnormal.

Optionally, the bid-winning data determining module 304 is specifically configured to:

for each bidding entity, determining the same number of times between the bidding entity and other bidding entities according to the first historical bidding data of the bidding entity and the second historical bidding data of other bidding entities;

under the condition that the same-throw times is larger than a same-throw times threshold value, determining the winning number of the bidding main body from the same-throw times;

determining historical bidding times of the bidding subject according to the first historical bidding data;

determining the bid winning rate of the bidding subject according to the bid winning times and the historical bid winning times;

and determining whether the bid winning data of the bidding subject is abnormal or not according to a comparison result between the bid winning rate and the bid winning threshold value.

The bidding risk determination device provided by the embodiment of the invention can execute the bidding risk determination method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing each bidding risk determination method.

Example IV

Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM12 and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the bid risk determination method.

In some embodiments, the bid risk determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more steps of the bid risk determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the bid risk determination method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A bid risk determination method, comprising:

determining whether the bidding equipment is abnormal according to equipment information of at least two bidding equipment;

determining whether the supplier is abnormal according to supplier information of the supplier corresponding to the bidding main body; the supplier information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information;

determining that the at least two bidders present a bid risk if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

2. The method of claim 1, wherein the device information includes a device physical address, a device CPU serial number, and a device disk serial number.

3. The method of claim 2, wherein the determining whether the bidding device is abnormal based on device information of at least two bidding devices comprises:

if yes, determining that the bidding equipment is abnormal.

4. The method of claim 1, wherein the determining the similarity between the bid documents of the different bid subjects for the target bid item and determining whether the bid document is abnormal based on the similarity comprises:

And under the condition that the text similarity is larger than a similarity threshold, determining that the bidding file corresponding to the text similarity is abnormal.

5. The method of claim 1, wherein the determining whether the supplier is abnormal according to supplier information of the supplier to which the bid subject corresponds comprises:

6. The method of claim 1, wherein the determining whether the supplier is abnormal according to supplier information of the supplier to which the bid subject corresponds comprises:

detecting whether bidding violation information exists in bidding credit information of a provider corresponding to the bidding subject; wherein the bidding credit information includes administrative penalty information and executable person information;

if so, determining that the provider is abnormal.

7. The method of claim 1, wherein the determining whether bid-winning data of the bid subject is abnormal based on historical bid-winning data of the bid subject comprises:

under the condition that the same-throw times is larger than a same-throw times threshold value, determining the bid winning times of the bidding main body from the same-throw times;

and determining whether the bid winning data of the bidding subject is abnormal or not according to the comparison result between the bid winning rate and the bid winning threshold value.

8. A bid risk determination apparatus, comprising:

the bidding device determining module is used for determining whether the bidding devices are abnormal according to the device information of at least two bidding devices;

the supplier determining module is used for determining whether the suppliers are abnormal according to supplier information of the suppliers corresponding to the bidding main body; the provider information comprises contact person information, qualification personnel information, enterprise legal person information, stock control company information and bidding credit information;

the bid risk determining module is used for determining that the at least two bidding subjects have bid risks if at least two of the following are satisfied: bidding appliance anomaly, bidding documents anomaly, supply Fang Yichang and bid winning data anomaly.

9. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the bid risk determination method of any one of claims 1-7.

10. A computer readable storage medium storing computer instructions for causing a processor to perform the bid risk determination method of any one of claims 1-7.