Electronic bidding transaction platform supervision system

Abstract

The invention discloses an electronic bidding transaction platform supervision system, and belongs to the technical field of transaction supervision. The method and the device are used for solving the technical problems of poor active supervision analysis effect and poor active management optimization effect of bidding types in different abnormal states in an existing scheme. The method comprises the steps of performing monitoring statistics and processing combination on different types of electronic bidding and tendering in a target area from different dimensions, performing data processing calculation on review data of different dimensions of the bidding and tendering types to obtain corresponding local processing degrees, and performing data analysis on the local processing degrees to obtain local processing abnormal states corresponding to the bidding and tendering types to which the local processing degrees belong. And performing tracing analysis on the bidding type in the local processing abnormal state to obtain a corresponding implementation adjustment identifier, and dynamically adjusting an examination mode corresponding to the bidding type according to the implementation adjustment identifier, so that subsequent examination of the bidding type in the local processing abnormal state can perform the same supervision standard and execution strength.

Description

Technical Field

[0001] The present invention relates to the technical field of transaction supervision, and in particular to an electronic bidding transaction platform supervision system. Background Art

[0002] The electronic bidding and tendering transaction platform is a system that uses Internet technology to realize the electronicization of the entire bidding and tendering business process, including bidding, tendering, bid opening, bid evaluation, and bid determination. It aims to improve the efficiency, transparency, and fairness of the bidding and tendering process, while reducing the use of traditional paper documents and reducing transaction costs.

[0003] When implementing the existing supervision scheme for electronic bidding and tendering transaction platforms, due to the different supervision requirements of local bidding and tendering regulatory agencies, some focus on prior approval, while others pay more attention to post-examination, resulting in inconsistent supervision standards and enforcement strength, and unable to actively supervise and analyze data for different bidding types, resulting in poor active supervision and analysis effects for bidding types with different abnormal conditions, as well as poor active management and optimization effects. Summary of the invention

[0004] The purpose of the present invention is to provide an electronic bidding and tendering transaction platform supervision system, which is used to solve the technical problems of poor active supervision and analysis effect and poor active management and optimization effect of bidding and tendering types in different abnormal states in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An electronic bidding transaction platform supervision system includes an electronic bidding information monitoring and statistics module, which is used to monitor and count different electronic biddings supervised in a target area, obtain the review methods and review results corresponding to different electronic biddings, sort and combine all the supervision information corresponding to all the electronic biddings supervised in the target area, obtain a supervision information set and upload it to a supervision cloud platform in real time; wherein the supervision information set includes a bidding type transaction supervision sequence set corresponding to all bidding types;

[0007] The electronic bidding information processing and evaluation module is used to digitally process and analyze the different review methods corresponding to the electronic bidding of different bidding types in the monitoring information set, and obtain the local processing degree and the corresponding local processing status corresponding to the different bidding types; the local processing degree is used to integrate and calculate the review data of all historical different dimensions of the bidding type to digitally represent its local processing status; the local processing status includes a normal local processing status or an abnormal local processing status;

[0008] The electronic bidding and tendering evaluation management module is used to conduct retrospective supervision on the local processing status corresponding to different bidding and tendering types in the target area, and dynamically manage the review methods corresponding to different bidding and tendering types based on the retrospective supervision results;

[0009] Among them, the existing review method is maintained according to the normal status of local processing of bidding types;

[0010] Also, adjusting the existing review method according to the abnormal status of local processing of the bidding type, including only conducting the first review method or only conducting the second review method for the corresponding bidding type.

[0011] Preferably, the bidding number, bidding type, and application timestamp of the electronic bidding application are obtained, and the review method, review duration, and review result corresponding to the electronic bidding are obtained; the review method includes a first review method and a second review method;

[0012] The bidding type, application timestamp, review method, review duration and review result corresponding to the electronic bidding are combined to obtain the individual transaction supervision sequence corresponding to the electronic bidding;

[0013] According to the order of application time, the individual transaction supervision sequences corresponding to all electronic biddings belonging to the same bidding type are sorted and combined to obtain a bidding type transaction supervision sequence set;

[0014] The bidding type transaction supervision sequence sets corresponding to all bidding types are sorted and combined to obtain a supervision information set.

[0015] Preferably, a bidding type transaction supervision sequence set corresponding to different bidding types in the monitoring information set is obtained, and all individual transaction supervision sequences in the bidding type transaction supervision sequence set are obtained;

[0016] According to the supervision sequence of all individual transactions of the same bidding type, the total number of first reviews N1 corresponding to the first review method and the total number of second reviews N2 corresponding to the second review method are obtained; and the local processing degree corresponding to the bidding type is obtained by formula calculation;

[0017] Conduct data analysis on the local processing degree to determine the local processing status corresponding to the bidding type.

[0018] Preferably, the calculation formula of the local processing degree is: Wherein, JC is the local processing degree, N1′ and N2′ are the total number of abnormalities in the first examination results and the total number of abnormalities in the second examination results, respectively; N11′ and N22′ are the total number of abnormalities in the first examination efficiency and the total number of abnormalities in the second examination efficiency, respectively; α and β are different weight coefficients and are both greater than one; A is the standard examination impact.

[0019] Preferably, the local processing degree is analyzed, and if the local processing degree is less than 1, a local review normal instruction is generated and the local processing state corresponding to the bidding type is marked as a local processing normal state;

[0020] Otherwise, a local review exception instruction is generated and the local processing status corresponding to the bidding type is marked as a local processing exception status.

[0021] Preferably, all bidding types are arranged in descending order according to the total number of reviews corresponding to the different bidding types, the local processing status corresponding to the different bidding types are obtained in sequence according to the arrangement order, and the existing review method is maintained according to the normal status of the local processing of the bidding type;

[0022] and, adjusting the existing review methods based on the local processing exception status of the bidding type.

[0023] Preferably, the specific steps for adjusting the existing review method include:

[0024] Get the first review value corresponding to the first review method of the bidding type in the local processing abnormal state And the second review value corresponding to the second review method

[0025]

[0026] The implementation adjustment flag SS corresponding to the bidding type is obtained by calculating the review identification piecewise function according to the first review value and the second review value; the implementation adjustment flag SS contains a value of 0 or 1, which respectively indicates that the implementation effect of the first review method corresponding to the bidding type is good or the implementation effect of the second review method is good;

[0027] When dynamically managing the review method corresponding to the bidding type according to the implementation adjustment identifier, only the first review method or only the second review method will be performed on the bidding type according to the implementation adjustment identifier with a value of 0 or 1.

[0028] Preferably, the expression of the piecewise function identified by review is Where B is the standard implementation difference.

[0029] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0030] The present invention obtains a supervision information set corresponding to all bidding types by monitoring, counting and processing different types of electronic bidding in the target area from different dimensions, and can provide reliable monitoring data support for subsequent local processing status data processing and analysis corresponding to different bidding types.

[0031] The present invention obtains the corresponding local processing degree by performing data processing on the review data of different dimensions of the bidding type, and obtains the local processing abnormal state corresponding to the bidding type by performing data analysis on the local processing degree. This can not only realize digital processing and analysis of the local processing abnormal state of different bidding types, but also provide reliable analysis data support for the dynamic management of the review methods corresponding to the subsequent different bidding types, thereby improving the diversity and scalability of electronic bidding supervision data processing and utilization.

[0032] The present invention obtains the corresponding implementation adjustment identifier by retrospective analysis of the bidding types with local abnormal processing status, and dynamically adjusts the review method corresponding to the bidding type according to the implementation adjustment identifier, so that the subsequent review of the bidding types with local abnormal processing status can be carried out with the same supervision standards and execution strength, thereby improving the active supervision and analysis effect and active management optimization effect of the bidding types with local abnormal processing status. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] Figure 1 This is a module block diagram of an electronic bidding and tendering transaction platform supervision system of the present invention.

[0035] Figure 2 The present invention is a flowchart of the operation of an electronic bidding and tendering transaction platform supervision system.

[0036] Figure 3 It is a flowchart for dynamically managing the review methods corresponding to different bidding types in the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] like Figure 1 to Figure 2 As shown, the present invention is an electronic bidding transaction platform supervision system, including an electronic bidding information monitoring and statistics module, an electronic bidding information processing and evaluation module, an electronic bidding evaluation management module and a supervision cloud platform;

[0039] The electronic bidding and tendering information monitoring and statistics module is used to monitor and count different electronic bidding and tendering under the supervision of the target area, obtain the review methods and review results corresponding to different electronic bidding and tendering, sort and combine all the supervision information corresponding to all electronic bidding and tendering under the supervision of the target area, obtain the supervision information set and upload it to the supervision cloud platform in real time; including:

[0040] Obtain the bidding number, bidding type, and application timestamp of the electronic bidding application, and obtain the review method, review duration, and review results of the electronic bidding application;

[0041] It should be noted that the target area can be an existing administrative district, and the bidding type can be determined according to the existing bidding form classification rules, including but not limited to open bidding type, invitation bidding type, single source procurement type, competitive negotiation type, etc.;

[0042] The review methods include the first review method and the second review method, which are the prior approval method and the post-review method respectively;

[0043] The review time is calculated from the timestamp of the bidding application and the timestamp of the end of the approval process, in days;

[0044] The review results include passed or failed;

[0045] The bidding type, application timestamp, review method, review duration and review result corresponding to the electronic bidding are combined to obtain the individual transaction supervision sequence corresponding to the electronic bidding;

[0046] According to the order of application time, the individual transaction supervision sequences corresponding to all electronic biddings belonging to the same bidding type are sorted and combined to obtain a bidding type transaction supervision sequence set;

[0047] Sort and combine the bidding type transaction supervision sequence sets corresponding to all bidding types to obtain a supervision information set;

[0048] In an embodiment of the present invention, by monitoring, counting and processing different types of electronic bidding in the target area from different dimensions, a supervision information set corresponding to all bidding types is obtained, which can provide reliable monitoring data support for subsequent local processing status data processing and analysis corresponding to different bidding types.

[0049] The electronic bidding information processing and evaluation module is used to digitally process and analyze the different review methods corresponding to the electronic bidding of different bidding types in the monitoring information set, and obtain the local processing degree and local processing status corresponding to different bidding types; including:

[0050] Obtain the bidding type transaction supervision sequence set corresponding to different bidding types in the monitoring information set, and obtain all individual transaction supervision sequences in the bidding type transaction supervision sequence set;

[0051] According to the supervision sequence of all individual transactions of the same bidding type, the total number of first reviews N1 corresponding to the first review method and the total number of second reviews N2 corresponding to the second review method are obtained; and the local processing degree corresponding to the bidding type is obtained by formula calculation;

[0052] The calculation formula of local processing degree is: Where, JC is the local processing degree, N1′ and N2′ are the total number of abnormalities in the first review results and the total number of abnormalities in the second review results, respectively; N11′ and N22′ are the total number of abnormalities in the first review efficiency and the total number of abnormalities in the second review efficiency, respectively; α and β are different weight coefficients and are both greater than one; A is the standard review impact, which can be determined based on the actual review requirement data of the actual application scenario, or based on the median of all historical local processing degrees of other target areas corresponding to the same bidding type;

[0053] It should be noted that the local processing degree is used to integrate and calculate the review data of all historical dimensions of the bidding type to digitally represent its local processing status; the larger the local processing degree, the worse the local processing status corresponding to the bidding type;

[0054] In addition, the calculation of the local processing degree in the embodiment of the present invention involves the review result dimension data and the review efficiency dimension data of different review methods, which improves the diversity and reliability of the calculation and analysis of the local processing status data corresponding to the bidding type;

[0055] The steps for obtaining the total number of abnormal first examination efficiency and the total number of abnormal second examination efficiency include:

[0056] Obtain the review durations corresponding to all first review methods and second review methods and sort and combine them respectively to obtain a first review duration sequence and a second review duration sequence;

[0057] The elements in the first examination time sequence and the second examination time sequence are compared and judged with the corresponding standard examination time respectively; wherein the standard examination time corresponding to different examination methods can be determined by the existing actual examination requirement data, or can be determined according to the median value of all historical examination times corresponding to different examination methods;

[0058] If the elements in the first examination time sequence and the second examination time sequence are greater than the corresponding standard examination time, the corresponding first examination efficiency abnormality and the corresponding second examination efficiency abnormality are determined, and the corresponding total number of first examination efficiency abnormalities and the total number of second examination efficiency abnormalities are increased by one;

[0059] When the local processing degree is analyzed to determine the local processing state corresponding to the bidding type, if the local processing degree is less than 1, a local review normal instruction is generated and the local processing state corresponding to the bidding type is marked as the local processing normal state;

[0060] Otherwise, a local review exception instruction is generated and the local processing status corresponding to the bidding type is marked as a local processing exception status;

[0061] In the embodiment of the present invention, the corresponding local processing degree is obtained by performing data processing and calculation on the review data of different dimensions of the bidding type, and the local processing abnormal state corresponding to the bidding type is obtained by performing data analysis on the local processing degree. This can not only realize digital processing and analysis of the local processing abnormal states of different bidding types, but also provide reliable analysis data support for the subsequent dynamic management of the review methods corresponding to different bidding types, thereby improving the diversity and scalability of electronic bidding supervision data processing and utilization.

[0062] The electronic bidding and tendering evaluation management module is used to conduct retrospective supervision on the local processing status corresponding to different bidding and tendering types in the target area, and dynamically manage the review methods corresponding to different bidding and tendering types based on the retrospective supervision results; including:

[0063] like Figure 3 As shown, all bidding types are arranged in descending order according to the total number of reviews corresponding to different bidding types, the local processing status corresponding to different bidding types are obtained in sequence according to the arrangement order, and the existing review method is maintained according to the normal status of the local processing of the bidding type;

[0064] Furthermore, the existing review method is adjusted according to the abnormal state of local processing of the bidding type. The specific steps of adjusting the existing review method include:

[0065] Get the first review value corresponding to the first review method of the bidding type in the local processing abnormal state And the second review value corresponding to the second review method

[0066]

[0067] According to the first review value and the second review value, the implementation adjustment mark SS corresponding to the bidding type is obtained by calculating the review identification piecewise function;

[0068] Among them, the expression of the review identification piecewise function is Where B is the standard implementation difference, which can be determined based on the actual review requirement data of the actual application scenario, or based on the median of all historical implementation differences of the same bidding type in other target areas;

[0069] The implementation adjustment flag SS contains a value of 0 or 1, which respectively indicates that the implementation effect of the first review method corresponding to the bidding type is good or the implementation effect of the second review method is good;

[0070] When dynamically managing the review method corresponding to the bidding type according to the implementation adjustment identifier, only the first review method or only the second review method will be performed on the bidding type according to the implementation adjustment identifier with a value of 0 or 1.

[0071] In the embodiment of the present invention, the corresponding implementation adjustment identifier is obtained by retrospectively analyzing the bidding and tendering types with local abnormal processing status, and the review method corresponding to the bidding and tendering type is dynamically adjusted according to the implementation adjustment identifier, so that the subsequent review of the bidding and tendering types with local abnormal processing status can be carried out according to the same supervision standards and execution strength, thereby improving the active supervision and analysis effect and active management optimization effect of the bidding and tendering types with local abnormal processing status.

[0072] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0073] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0074] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0076] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An electronic bidding and tendering transaction platform supervision system, characterized in that: It includes an electronic bidding information monitoring and statistics module, which is used to monitor and count different electronic biddings regulated in the target area, obtain the review methods and review results corresponding to different electronic biddings, sort and combine all the supervision information corresponding to all electronic biddings regulated in the target area, obtain the supervision information set and upload it to the supervision cloud platform in real time; wherein the supervision information set includes the bidding type transaction supervision sequence set corresponding to all bidding types; The electronic bidding information processing and evaluation module is used to digitally process and analyze the different review methods corresponding to the electronic bidding of different bidding types in the monitoring information set, and obtain the local processing degree and the corresponding local processing status corresponding to the different bidding types; the local processing degree is used to integrate and calculate the review data of all historical different dimensions of the bidding type to digitally represent its local processing status; the local processing status includes a normal local processing status or an abnormal local processing status; The electronic bidding and tendering evaluation management module is used to conduct retrospective supervision on the local processing status corresponding to different bidding and tendering types in the target area, and dynamically manage the review methods corresponding to different bidding and tendering types based on the retrospective supervision results; Among them, the existing review method is maintained according to the normal status of local processing of bidding types; Also, adjusting the existing review method according to the abnormal status of local processing of the bidding type, including only conducting the first review method or only conducting the second review method for the corresponding bidding type.

2. According to claim 1, the electronic bidding and tendering transaction platform supervision system is characterized in that: Obtain the bidding number, bidding type, and application timestamp of the electronic bidding application, and obtain the review method, review duration, and review result corresponding to the electronic bidding application; the review method includes the first review method and the second review method; The bidding type, application timestamp, review method, review duration and review result corresponding to the electronic bidding are combined to obtain the individual transaction supervision sequence corresponding to the electronic bidding; According to the order of application time, the individual transaction supervision sequences corresponding to all electronic biddings belonging to the same bidding type are sorted and combined to obtain a bidding type transaction supervision sequence set; The bidding type transaction supervision sequence sets corresponding to all bidding types are sorted and combined to obtain a supervision information set.

3. According to claim 2, the electronic bidding and tendering transaction platform supervision system is characterized in that: Obtain the bidding type transaction supervision sequence set corresponding to different bidding types in the monitoring information set, and obtain all individual transaction supervision sequences in the bidding type transaction supervision sequence set; According to the supervision sequence of all individual transactions of the same bidding type, the total number of first reviews N1 corresponding to the first review method and the total number of second reviews N2 corresponding to the second review method are obtained; and the local processing degree corresponding to the bidding type is obtained by formula calculation; Conduct data analysis on the local processing degree to determine the local processing status corresponding to the bidding type.

4. The electronic bidding and tendering transaction platform supervision system according to claim 3 is characterized in that: The calculation formula of local treatment degree is: Wherein, JC is the local processing degree, N1′ and N2′ are the total number of abnormalities in the first examination results and the total number of abnormalities in the second examination results, respectively; N11′ and N22′ are the total number of abnormalities in the first examination efficiency and the total number of abnormalities in the second examination efficiency, respectively; α and β are different weight coefficients and are both greater than one; A is the standard examination impact.

5. The electronic bidding and tendering transaction platform supervision system according to claim 3 is characterized in that: The local processing degree is analyzed. If the local processing degree is less than 1, a local review normal instruction is generated and the local processing state corresponding to the bidding type is marked as the local processing normal state; Otherwise, a local review exception instruction is generated and the local processing status corresponding to the bidding type is marked as a local processing exception status.

6. The electronic bidding and tendering transaction platform supervision system according to claim 4 is characterized in that: Arrange all bidding types in descending order according to the total number of reviews corresponding to different bidding types, obtain the local processing status corresponding to different bidding types in sequence according to the arrangement order, and maintain the existing review method according to the normal status of the local processing of the bidding type; and, adjusting the existing review methods based on the local processing exception status of the bidding type.

7. The electronic bidding and tendering transaction platform supervision system according to claim 6 is characterized in that: Specific steps to adjust the existing review approach include: Get the first review value corresponding to the first review method of the bidding type in the local processing abnormal state And the second review value corresponding to the second review method The implementation adjustment flag SS corresponding to the bidding type is obtained by calculating the review identification piecewise function according to the first review value and the second review value; the implementation adjustment flag SS contains a value of 0 or 1, which respectively indicates that the implementation effect of the first review method corresponding to the bidding type is good or the implementation effect of the second review method is good; When dynamically managing the review method corresponding to the bidding type according to the implementation adjustment identifier, only the first review method or only the second review method will be conducted for the bidding type according to the implementation adjustment identifier with a value of 0 or 1.

8. The electronic bidding and tendering transaction platform supervision system according to claim 7 is characterized in that: Review the expression for identifying piecewise functions as Where B is the standard implementation difference.

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