CN115759945A

CN115759945A - Project intelligent evaluation method and device based on bid document

Info

Publication number: CN115759945A
Application number: CN202211089203.3A
Authority: CN
Inventors: 潘晓华; 高俊豪; 杨秀才; 罗龙建
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: 2022-09-07
Filing date: 2022-09-07
Publication date: 2023-03-07

Abstract

The invention discloses a project intelligent review method and a project intelligent review device based on a bid document, wherein the method comprises the following steps: obtaining a bid document to be reviewed; determining at least one review item corresponding to the bid document according to the bid type of the bid document; for each evaluation project, executing matched evaluation operation on the evaluation project according to the project type of the evaluation project to obtain a project evaluation result of the evaluation project; and determining the target evaluation result of the bid document according to the obtained evaluation results of all the projects. Therefore, the method and the device can reduce manpower and material resources required by evaluating the bid documents and realize project intelligent evaluation of the bid documents, so that the working efficiency of evaluating the bid document projects is improved, the subjective bid evaluation condition of an evaluation expert is avoided, the reliability and the accuracy of the obtained bid document evaluation result are improved, and the standardized and fair evaluation of the bid document projects is realized.

Description

Project intelligent review method and device based on bid document

Technical Field

The invention relates to the technical field of bid document management, in particular to a project intelligent review method and device based on bid documents.

Background

With the rapid development of market economy, bidding becomes an increasingly popular commodity operation mode, which enables the transaction mode between bidding units and bidders to become standardized and public, thereby controlling project cost and gradually shifting planned economy to market economy.

At present, in the bidding process, to ensure the fairness and transparency of transactions between the bidding units and the bidders, the bidding units need to review the integrity and compliance of the bid documents submitted by the bidders according to the bid documents. Currently, the traditional bid document review mode is generally implemented by a review expert subjectively reviewing and reviewing the bid document. However, practice shows that the number of bid documents to be evaluated is huge due to the excessive bid-inviting items, and this conventional manual evaluation method undoubtedly increases the workload of evaluation experts, and it is difficult to improve the working efficiency of evaluation and ensure the accuracy of evaluation of the bid documents. Therefore, it is important to provide a quick and accurate bid document item review method.

Disclosure of Invention

The technical problem to be solved by the invention is to provide a method and a device for intelligently reviewing a project based on a bid document, which can be beneficial to improving the working efficiency of reviewing the bid document project and avoiding the subjective bid evaluation condition of a review expert, thereby improving the reliability and accuracy of the obtained review result of the bid document, and realizing the standardized and fair reviewing of the bid document project.

In order to solve the technical problem, a first aspect of the present invention discloses a project intelligent review method based on bid documents, including:

obtaining a bidding document to be evaluated;

determining at least one review item corresponding to the bid document according to the bid type of the bid document; the bid type comprises at least one of a service type bid type, an article purchasing type bid type and an engineering construction type bid type;

for each review project, executing matched review operation on the review project according to the project type of the review project to obtain a project review result of the review project; the project review result of the review project comprises a project score of the review project;

determining a target evaluation result of the bid document according to all the obtained project evaluation results; the target review result of the bid document includes a target score of the bid document.

As an optional implementation manner, in the first aspect of the present invention, before the performing, for each of the review items, a matching review operation on the review item according to the item type of the review item to obtain an item review result of the review item, the method further includes:

for each review project, acquiring target information of the review project; the target information is information reported by a target merchant;

determining an information analysis type corresponding to the target information;

when the information analysis type only comprises a first calculation analysis type, determining the project type of the review project as a first review project type;

and when the information analysis type comprises a second calculation analysis type and a semantic analysis type, determining the project type of the review project as a second review project type.

As an optional implementation manner, in the first aspect of the present invention, for each of the review items, performing a matching review operation on the review item according to the item type of the review item to obtain an item review result of the review item, includes:

for each review project, when the project type of the review project is the first review project type, determining a first calculation analysis logic matched with the first calculation analysis type according to the first calculation analysis type corresponding to the target information of the review project;

according to the first calculation analysis logic, executing first calculation analysis operation on the target information to obtain a first calculation analysis result of the target information, and using the first calculation analysis result as a project evaluation result of the evaluation project;

when the project type of the review project is the second review project type, determining a second calculation analysis logic matched with the second calculation analysis type according to the second calculation analysis type corresponding to the target information of the review project;

according to the second calculation analysis logic, second calculation analysis operation is carried out on the target information, and a second calculation analysis result of the target information is obtained and is used as a first evaluation result of the evaluation item; the first review result comprises a first score;

performing semantic analysis operation on the target information according to the semantic analysis type corresponding to the target information of the review item to obtain a semantic analysis result of the target information, wherein the semantic analysis result is used as a second review result of the review item; the second review result comprises a second score;

and determining a project evaluation result of the evaluation project according to the first evaluation result and the second evaluation result.

As an optional implementation manner, in the first aspect of the present invention, the performing, according to the semantic analysis type corresponding to the target information of the review item, a semantic analysis operation on the target information to obtain a semantic analysis result of the target information, and as a second review result of the review item, includes:

determining all review experts meeting review requirements from a preset expert set, and determining the characteristic information of each review expert; the characteristic information of each review expert comprises the expert type and/or the expert grade of each review expert;

calculating the review matching degree between the target information of the review project and each review expert according to the semantic analysis type corresponding to the target information of the review project and the characteristic information of all the review experts;

screening all the evaluation experts with the evaluation matching degree being more than or equal to a preset evaluation matching degree threshold value from all the evaluation experts, and taking the screened all the evaluation experts as all target evaluation experts corresponding to the target information of the evaluation project so as to enable all the target evaluation experts to execute expert analysis operation on the target information;

and acquiring all expert analysis results corresponding to the target information, and determining a semantic analysis result of the target information according to all the expert analysis results to be used as a second evaluation result of the evaluation item.

As an optional implementation manner, in the first aspect of the present invention, the determining all the review experts meeting the review requirement from the preset expert set includes:

according to a preset expert set, inquiring the historical review condition of each expert in the expert set;

analyzing the historical review condition of each expert to obtain the review condition analysis results of all the experts;

determining the evaluation creditworthiness of each expert according to the evaluation condition analysis result of each expert;

and screening all the experts with the evaluation credibility being more than or equal to a preset evaluation credibility threshold value from all the experts to serve as all the evaluation experts meeting the evaluation requirements.

As an optional implementation manner, in the first aspect of the present invention, the determining the project review result of the review project according to the first review result and the second review result includes:

calculating a grading difference value of the first grading score and the second grading score according to the first grading result and the second grading result;

judging whether the grading difference is smaller than a preset grading difference threshold value or not;

when the score difference is judged to be smaller than the preset score difference threshold value, determining a first weight corresponding to the first review result and a second weight corresponding to the second review result, and determining a project review result of the review project according to the first weight and the second weight;

and when the score difference is judged to be greater than or equal to the preset score difference threshold, generating a project abnormal result of the evaluation project, and determining the project abnormal result as a project evaluation result of the evaluation project.

As an optional implementation manner, in the first aspect of the present invention, after determining that the score difference is greater than or equal to the preset score difference threshold, the method further includes:

analyzing the execution capacity of the target merchant according to the target information of the evaluation project; the target information comprises at least one of the operation condition of the target merchant, the technical parameter condition of the target merchant, the equipment parameter condition of the target merchant and the asset condition of the target merchant;

determining the execution credibility of the target merchant according to the execution capacity of the target merchant;

judging whether the execution credibility is larger than or equal to a preset execution credibility threshold value or not;

when the execution credibility is judged to be larger than or equal to the preset execution credibility threshold, triggering to execute the operation of determining a first weight corresponding to the first review result and a second weight corresponding to the second review result, and determining a project review result of the review project according to the first weight and the second weight;

and when judging that the execution credibility is smaller than the preset execution credibility threshold, triggering and executing the operation of generating the project abnormal result of the review project and determining the project abnormal result as the project review result of the review project.

The second aspect of the invention discloses a project intelligent review device based on a bid document, which comprises:

the acquisition module is used for acquiring the bid document to be evaluated;

the determining module is used for determining at least one review project corresponding to the bid document according to the bid type of the bid document; the bid type comprises at least one of a service type bid type, an article purchasing type bid type and an engineering construction type bid type;

the evaluation module is used for executing matched evaluation operation on each evaluation project according to the project type of the evaluation project to obtain the project evaluation result of the evaluation project; the project review result of the review project comprises a project score of the review project;

the determining module is further used for determining a target review result of the bid document according to all the obtained project review results; the target review result of the bid document includes a target score of the bid document.

As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to, before the review module performs, for each review item, a matching review operation on the review item according to the item type of the review item, and obtains an item review result of the review item, obtain, for each review item, target information of the review item; the target information is information reported by a target merchant;

the determining module is further configured to determine an information analysis type corresponding to the target information; when the information analysis type only comprises a first calculation analysis type, determining the project type of the review project as a first review project type; and when the information analysis type comprises a second calculation analysis type and a semantic analysis type, determining the item type of the review item as a second review item type.

As an optional implementation manner, in the second aspect of the present invention, the review module includes:

the first determining sub-module is used for determining a first computational analysis logic matched with the first computational analysis type according to the first computational analysis type corresponding to the target information of the review project when the project type of the review project is the first review project type for each review project;

the first analysis sub-module is used for executing first computational analysis operation on the target information according to the first computational analysis logic to obtain a first computational analysis result of the target information, and the first computational analysis result is used as a project evaluation result of the evaluation project;

the first determining sub-module is further configured to determine, when the project type of the review project is the second review project type, a second calculation analysis logic matched with the second calculation analysis type according to the second calculation analysis type corresponding to the target information of the review project;

the first analysis submodule is further configured to perform a second computational analysis operation on the target information according to the second computational analysis logic to obtain a second computational analysis result of the target information, which is used as a first review result of the review item; the first review result comprises a first score value;

the second analysis sub-module is used for executing semantic analysis operation on the target information according to the semantic analysis type corresponding to the target information of the evaluation project to obtain a semantic analysis result of the target information, and the semantic analysis result is used as a second evaluation result of the evaluation project; the second review result comprises a second score;

and the second determining sub-module is used for determining the project evaluation result of the evaluation project according to the first evaluation result and the second evaluation result.

As an optional implementation manner, in the second aspect of the present invention, the second analysis sub-module includes:

the first determining unit is used for determining all review experts meeting review requirements from a preset expert set and determining the characteristic information of each review expert; the characteristic information of each review expert comprises the expert type and/or the expert grade of each review expert;

the first calculation unit is used for calculating the review matching degree between the target information of the review project and each review expert according to the semantic analysis type corresponding to the target information of the review project and the characteristic information of all the review experts;

the screening unit is used for screening all the evaluation experts with the evaluation matching degree being more than or equal to a preset evaluation matching degree threshold value from all the evaluation experts, and the screening unit is used for taking all the evaluation experts as all the target evaluation experts corresponding to the target information of the evaluation project so as to enable all the target evaluation experts to execute expert analysis operation on the target information;

the acquisition unit is used for acquiring all expert analysis results corresponding to the target information;

the first determining unit is further configured to determine a semantic analysis result of the target information according to all the expert analysis results, and the semantic analysis result is used as a second review result of the review item.

As an optional implementation manner, in the second aspect of the present invention, the manner of determining, by the first determining unit, all review experts meeting the review requirement from the preset expert set is specifically:

determining the evaluation credit degree of each expert according to the evaluation condition analysis result of each expert;

and screening all experts with the evaluation credibility more than or equal to a preset evaluation credibility threshold value from all the experts as all the evaluation experts meeting the evaluation requirements.

As an optional implementation manner, in the second aspect of the present invention, the second determining submodule includes:

the second calculation unit is used for calculating a grading difference value of the first grading score and the second grading score according to the first and second review results;

the judging unit is used for judging whether the score difference value is smaller than a preset score difference value threshold value or not;

the second determining unit is used for determining a first weight corresponding to the first review result and a second weight corresponding to the second review result when the judging unit judges that the score difference is smaller than the preset score difference threshold, and determining a project review result of the review project according to the first weight and the second weight;

the second determining unit is further configured to generate a project exception result of the review project when the judging unit judges that the score difference is greater than or equal to the preset score difference threshold, and determine the project exception result as a project review result of the review project.

As an optional implementation manner, in the second aspect of the present invention, the second determining sub-module further includes:

the analysis unit is used for analyzing the execution capacity of the target merchant according to the target information of the review project after the judgment unit judges that the score difference is greater than or equal to the preset score difference threshold; the target information comprises at least one of the operation condition of the target merchant, the technical parameter condition of the target merchant, the equipment parameter condition of the target merchant and the asset condition of the target merchant;

the second determining unit is further configured to determine an execution credibility of the target merchant according to the execution capacity of the target merchant;

the judging unit is also used for judging whether the execution credit degree is greater than or equal to a preset execution credit degree threshold value; when the execution credibility is judged to be greater than or equal to the preset execution credibility threshold, triggering the second determining unit to execute the operation of determining the first weight corresponding to the first review result and the second weight corresponding to the second review result, and determining the project review result of the review project according to the first weight and the second weight; and when judging that the execution credibility is smaller than the preset execution credibility threshold, triggering the second determining unit to execute the operation of generating the project abnormal result of the review project and determining the project abnormal result as the project review result of the review project.

The third aspect of the invention discloses another project intelligent review device based on bid documents, which comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program codes stored in the memory to execute the project intelligent evaluation method based on the bid document disclosed by the first aspect of the invention.

The fourth aspect of the present invention discloses a computer-storable medium that stores computer instructions for executing the intelligent project review method based on bid documents disclosed in the first aspect of the present invention when the computer instructions are invoked.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, a bid document to be evaluated is obtained; determining at least one review project corresponding to the bid document according to the bid type of the bid document; for each evaluation project, executing matched evaluation operation on the evaluation project according to the project type of the evaluation project to obtain a project evaluation result of the evaluation project; and determining the target evaluation result of the bid document according to the obtained evaluation results of all the projects. Therefore, the method and the device can reduce manpower and material resources required by evaluating the bid document and realize the project intelligent evaluation of the bid document, are favorable for improving the evaluation work efficiency of the bid document project and avoiding the subjective evaluation condition of evaluation experts, further improve the reliability and the accuracy of the obtained evaluation result of the bid document, enrich the intelligent evaluation mode of a project evaluation system and further realize the standardized and fair evaluation of the bid document project.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments 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 creative efforts.

FIG. 1 is a schematic flow chart of a method for intelligently reviewing a project based on bid documents according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating another method for intelligent evaluation of a project based on bid documents according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an intelligent bid document-based project review device according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another intelligent bid-document-based project review device according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of another intelligent bid-document-based project review device according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.

The invention discloses a project intelligent evaluation method and device based on a bid document, which can be beneficial to improving the evaluation work efficiency of the bid document project and avoiding the subjective evaluation condition of an evaluation expert, thereby improving the reliability and accuracy of the evaluation result of the obtained bid document, and realizing the standardized and fair evaluation of the bid document project. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a method for intelligently reviewing a project based on bid documents according to an embodiment of the present invention. The project intelligent review method based on the bid document described in fig. 1 may be applied to project review work of a service-type bid document, project review work of an article purchasing-type bid document, and project review work of an engineering construction-type bid document, which is not limited in the embodiments of the present invention. Further optionally, the method may be implemented by a project review system, where the project review system may include a local server or a cloud server for managing a bid document project review process, and the like; the method can also be realized by a project evaluation device, and the project evaluation device can be integrated in the project evaluation equipment, and the embodiment of the invention is not limited. As shown in FIG. 1, the intelligent bid-document-based project review method can include the following operations:

101. and acquiring a bid document to be reviewed.

In the embodiment of the present invention, optionally, the bid document may be obtained from a matched cloud server in real time, or a pre-stored bid document may be obtained from a database. Further optionally, the bid document may be a bid document matched with an electric power construction project, a bid document matched with an electric power equipment survey service, or a bid document combining the two, which is not limited in the embodiment of the present invention.

102. And determining at least one review item corresponding to the bid document according to the bid type of the bid document.

In an embodiment of the present invention, the bid type specifically includes at least one of a service type bid type (e.g., power equipment exploration service, hydraulic engineering construction budget service), an item procurement type bid type (e.g., power equipment procurement), and an engineering construction type bid type (e.g., housing construction project).

Further, after determining at least one review item corresponding to the bid document according to the bid type of the bid document, the method may further include: for each evaluation project, performing verification operation on the target information of the evaluation project to obtain a target information verification result of the evaluation project; determining an information error identifier and/or an information omission identifier of the evaluation project according to the target information checking result, and sending the information error identifier and/or the information omission identifier to a target merchant corresponding to the bid document, so that the target merchant executes updating operation on the target information of the evaluation project according to the information error identifier and/or the information omission identifier; and receiving the updated target information of the evaluation project, and triggering the operation of executing the matched evaluation operation on the evaluation project according to the project type of the evaluation project to obtain the project evaluation result of the evaluation project in the step 103.

As a further alternative, the bid types of the bid documents are different, and the review items of the bid documents to be reviewed may also be different. The evaluation items can include business conditions of the merchants, conditions of inspection equipment possessed by the merchants, fixed net assets values of the last year of the merchants, excellent conditions of key technical parameters and the like.

103. And for each evaluation project, executing matched evaluation operation on the evaluation project according to the project type of the evaluation project to obtain the project evaluation result of the evaluation project.

In an embodiment of the present invention, specifically, the project review result of the review project includes a project score of the review project and/or a project normal/abnormal result of the review project, where the abnormal result of the review project may include an expert review operation abnormal result and/or a merchant execution reputation value abnormal result (there may be a corresponding negative score value) matched with the review project. Further, the project type of the review project may be understood as being associated with the analysis logic (i.e., review elements) required in reviewing the review project, wherein the analysis logic may include computational analysis logic and/or semantic analysis logic. For example, when the business condition of a merchant is reviewed, the required analysis logic may be a computational analysis logic (for example, if the business is profitable for 1 year in nearly three years, 2 points can be obtained), or a semantic analysis logic, that is, the business condition is reviewed according to the target information reported by the merchant and matched with the review items (for example, the merchant reports a financial report, and then the financial report is reviewed by a related review expert or a project review system, so as to obtain the business condition of the merchant).

104. And determining the target evaluation result of the bid document according to the obtained evaluation results of all the projects.

In the embodiment of the present invention, the target review result of the bid document may include a target score of the bid document, and may also include an abnormal review result of a review expert in the bid document and/or an abnormal result of a merchant execution reputation value in the bid document. Further, as an alternative embodiment, determining the target evaluation result of the bid document according to all the obtained project evaluation results may include: determining the weight corresponding to each obtained project evaluation result; and determining the target evaluation result of the bid document according to the weight corresponding to the evaluation results of all the projects. For example, if the business situation score of the merchant in the evaluation item is 3 and the weight is 0.3, and the condition score of the inspection equipment of the merchant in the evaluation item is 2 and the weight is 0.5, the target score of the bid document is 1.9.

Therefore, the embodiment of the invention can reduce manpower and material resources required for evaluating the bid document and realize the project intelligent evaluation of the bid document, thereby being beneficial to flexibly carrying out targeted evaluation according to the project type of the evaluation project, improving the evaluation working efficiency of the bid document project, avoiding the subjective evaluation condition of an evaluation expert, further improving the reliability and the accuracy of the evaluation result of the obtained bid document, enriching the intelligent evaluation mode of a project evaluation system and realizing the normalized and fair evaluation of the bid document project.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a method for project intelligent review based on bid documents according to an embodiment of the present invention. The project intelligent review method based on the bid document described in fig. 2 may be applied to project review work of a service-type bid document, project review work of an article purchasing-type bid document, and project review work of an engineering construction-type bid document, which is not limited in the embodiments of the present invention. Further optionally, the method may be implemented by a project review system, where the project review system may include a local server or a cloud server for managing a bid document project review process; the method can also be realized by a project evaluation device, and the project evaluation device can be integrated in the project evaluation equipment, and the embodiment of the invention is not limited. As shown in FIG. 2, the intelligent bid-document-based project review method can include the following operations:

201. and obtaining the bid document to be reviewed.

202. And determining at least one review item corresponding to the bid document according to the bid type of the bid document.

203. And acquiring target information of the evaluation project for each evaluation project.

In the embodiment of the invention, the target information is information reported by a target merchant. Specifically, the target information may be self-operation conditions (for example, profit and loss conditions of three years), self-possessed inspection equipment conditions (for example, whether a vacuum detector is present or not, whether a wireless network comprehensive tester is present or not), self-annual fixed net asset value, and self-key technical parameter excellent conditions (for example, no-load loss conditions) reported by the target merchant.

204. And determining the information analysis type corresponding to the target information.

In the embodiment of the present invention, the information analysis type may include a calculation analysis type and/or a semantic analysis type. Further, there may be a corresponding one or more analysis logics for each information analysis type. For example, to obtain the evaluation result of the business operation condition of the merchant, the business operation condition reported by the merchant needs to be obtained first, and then if statistical analysis is used in evaluating the business operation condition reported by the merchant, the information analysis type corresponding to the business operation condition can be determined to be the calculation analysis type.

205. When the information analysis type only comprises a first calculation analysis type, determining the project type of the evaluation project as a first evaluation project type; and when the information analysis type comprises a second calculation analysis type and a semantic analysis type, determining the item type of the review item as a second review item type.

In the embodiment of the invention, specifically, the first evaluation project type can be understood that the evaluation project only needs to adopt the calculation analysis logic to evaluate the target information of the evaluation project; the second review item type can be understood that the review item needs to adopt the computational analysis logic and the semantic analysis logic to review the target information of the review item, that is, the review item has two review results, and then the item review result of the review item is determined according to the two obtained review results.

206. And for each evaluation project, executing matched evaluation operation on the evaluation project according to the project type of the evaluation project to obtain the project evaluation result of the evaluation project.

207. And determining the target evaluation result of the bid document according to the obtained evaluation results of all the projects.

In the embodiment of the present invention, for other descriptions of step 201, step 202, step 206, and step 207, please refer to the detailed descriptions of step 101 to step 104 in the first embodiment, which is not repeated herein.

Therefore, the embodiment of the invention can determine the project type of the evaluation project according to the analysis mode required by the evaluation project, so as to evaluate each evaluation project in a targeted and dependent manner, reduce the artificial evaluation subjectivity, and improve the reliability and accuracy of the obtained project evaluation result of each evaluation project, thereby being beneficial to obtaining the reliable and accurate evaluation result of the bid document subsequently and smoothly, and embodying the standardization and the flattening of the bid evaluation of the bid document.

In an alternative embodiment, for each review item in step 207, performing a matching review operation on the review item according to the item type of the review item to obtain an item review result of the review item, including:

for each review project, when the project type of the review project is a first review project type, determining a first calculation analysis logic matched with the first calculation analysis type according to the first calculation analysis type corresponding to the target information of the review project;

according to the first calculation analysis logic, performing first calculation analysis operation on the target information to obtain a first calculation analysis result of the target information, wherein the first calculation analysis result is used as a project evaluation result of an evaluation project;

when the project type of the evaluation project is a second evaluation project type, determining a second calculation analysis logic matched with the second calculation analysis type according to a second calculation analysis type corresponding to the target information of the evaluation project;

according to the second calculation analysis logic, performing second calculation analysis operation on the target information to obtain a second calculation analysis result of the target information, and taking the second calculation analysis result as a first evaluation result of the evaluation item;

according to the semantic analysis type corresponding to the target information of the evaluation project, performing semantic analysis operation on the target information to obtain a semantic analysis result of the target information, and using the semantic analysis result as a second evaluation result of the evaluation project;

and determining the project evaluation result of the evaluation project according to the first evaluation result and the second evaluation result.

In this alternative embodiment, the first review result includes a first score and the second review result includes a second score. Further, the first calculation and analysis logic and the second calculation and analysis logic may be a value, a value interval, a calculation formula, and the like. For example, if the business situation of the merchant in the evaluation item indicates that the merchant makes continuous profits in nearly three years, 5 points (value) can be obtained, and if the business situation of the merchant in the evaluation item indicates that the merchant makes profits in nearly three years of 100-200 ten thousand (value range), 3 points can be obtained, and the like. Further, the semantic analysis operation may be understood as evaluating authenticity and execution capacity of the relevant certificate reported by the merchant, for example, by performing semantic analysis on an audit financial report reported by the merchant, it can be known that the merchant makes continuous profit for nearly three years, and 5 points can be obtained.

Therefore, the optional embodiment can execute different evaluation operations on the evaluation project according to different project types corresponding to the evaluation project, can further improve the reliability and accuracy of the obtained project evaluation result, enriches the intelligent evaluation mode of the project evaluation system, and ensures the evaluation objectivity in the evaluation process.

In another optional embodiment, in the above step, performing semantic analysis operation on the target information according to a semantic analysis type corresponding to the target information of the review item to obtain a semantic analysis result of the target information, which is used as a second review result of the review item, includes:

determining all review experts meeting the review requirements from a preset expert set, and determining the characteristic information of each review expert;

screening all the evaluation experts with evaluation matching degrees larger than or equal to a preset evaluation matching degree threshold value from all the evaluation experts, and taking the screened evaluation experts as all target evaluation experts corresponding to the target information of the evaluation project so as to enable all the target evaluation experts to execute expert analysis operation on the target information;

and acquiring all expert analysis results corresponding to the target information, and determining semantic analysis results of the target information according to all the expert analysis results to be used as second evaluation results of the evaluation items.

In this alternative embodiment, wherein the characteristic information of each review expert comprises an expert type and/or an expert rating of each review expert. Specifically, all the evaluation experts with the evaluation matching degree greater than or equal to a preset evaluation matching degree threshold value are screened out from all the evaluation experts, and all the target evaluation experts corresponding to the target information of the evaluation project can be understood as being capable of determining that the evaluation expert matched with the evaluation expert is an expert with the evaluation qualification or an expert with the evaluation experience of the project when performing semantic analysis on the business operation condition of the evaluation project and/or the fixed equity of the last year of the business; when semantic analysis is performed on the condition of the checking equipment and/or the excellent condition of the key technical parameters possessed by the merchant in the evaluation project, the evaluation expert matched with the semantic analysis can be determined to be the expert having the related technical qualification or the expert having the evaluation experience of the project.

Therefore, the optional embodiment can intelligently match the evaluation experts corresponding to the evaluation project by combining the relevant information of the evaluation experts, thereby ensuring the smooth progress of project evaluation work, being beneficial to accelerating the bid evaluation work efficiency of the bid document, being beneficial to avoiding the condition of subjective evaluation results caused by manual bid reading, and improving the accuracy of the project evaluation results.

In yet another alternative embodiment, the determining all review experts meeting the review requirement from the preset expert set in the above steps includes:

analyzing the historical evaluation condition of each expert to obtain evaluation condition analysis results of all the experts;

In this alternative embodiment, specifically, analyzing the historical review condition of each expert may be understood as determining whether the historical score of the expert on a review item is too different from the historical score obtained by the evaluation item through the calculation and analysis logic, that is, whether the expert has a subjective review condition, if yes, the expert may determine that the expert is all review experts that do not meet the review requirement, and if not, the expert may determine that the expert is all review experts that meet the review requirement.

Therefore, the optional embodiment can analyze the historical evaluation condition of the expert to obtain the evaluation credibility of the expert, and further screen the expert through the evaluation credibility, so that the condition that the determined evaluation expert subjectively reads the bid is reduced, the reliability and the accuracy of the obtained project evaluation result are improved, and the objectivity and the fairness of the bid evaluation process are shown.

In yet another alternative embodiment, the determining the project review result of the review project according to the first review result and the second review result in the above steps includes:

calculating a grading difference value of the first grading score and the second grading score according to the first and second grading results;

judging whether the score difference is smaller than a preset score difference threshold value or not;

when the score difference is judged to be smaller than a preset score difference threshold value, determining a first weight corresponding to the first review result and a second weight corresponding to the second review result, and determining a project review result of the review project according to the first weight and the second weight;

and when the score difference is judged to be larger than or equal to the preset score difference threshold value, generating a project abnormal result of the evaluation project, and determining the project abnormal result as a project evaluation result of the evaluation project.

In this optional embodiment, specifically, the abnormal result of the evaluation item may be understood as that the evaluation result of the evaluation item may have a subjective evaluation condition of the target evaluation expert, or may have an error, a report missing condition, or a false report condition in the information reported by the merchant. Further, in the optional embodiment, after the score difference is judged to be greater than or equal to the preset score difference threshold, whether the matched review condition explanation exists in the review item is judged; if so, analyzing the review condition description to obtain an analysis result. Further optionally, the analysis result may include information reporting, information false reporting, information missing reporting, or information error description existing in the merchant. For example, when the business situation of the merchant in the evaluation project is subjected to computational analysis and semantic analysis, the profit of the merchant in about three years is not analyzed in the computational analysis process, and the profit of the merchant in about three years is considered to be analyzed by the evaluation expert in the semantic analysis process, so that the score difference is too large, at this time, the target evaluation expert may upload the relevant evaluation situation description for the subsequent verification of the evaluation result of the project.

Therefore, the optional embodiment can perform mutual check on the result reliability through the first evaluation result and the second evaluation result, so that complementary effects can be formed between the obtained first evaluation result and the second evaluation result, and further the abnormal condition of project evaluation existing in the process of evaluating a project can be favorably checked subsequently, and the reliability and the accuracy of the obtained project result can be ensured.

In yet another optional embodiment, after determining that the score difference is greater than or equal to the preset score difference threshold in the above step, the method may further include:

analyzing the execution capacity of the target merchant according to the target information of the evaluation project;

judging whether the execution credibility is greater than or equal to a preset execution credibility threshold value or not;

when the execution credibility is judged to be larger than or equal to a preset execution credibility threshold value, triggering the executed operation of determining a first weight corresponding to a first evaluation result and a second weight corresponding to a second evaluation result, and determining a project evaluation result of the evaluation project according to the first weight and the second weight;

and when judging that the execution credibility is smaller than a preset execution credibility threshold, triggering the execution to generate a project abnormal result of the evaluation project, and determining the project abnormal result as the operation of the project evaluation result of the evaluation project.

In this optional embodiment, optionally, the target information includes at least one of a business situation of the target merchant, a technical parameter situation of the target merchant, a device parameter situation of the target merchant, and an asset situation of the target merchant. Further optionally, analyzing the execution capacity of the target merchant can obtain whether the target merchant has the capacity of completing the bidding scheme item and/or predict the result of the target merchant on the completion of the bidding scheme item, so as to determine the execution credibility of the target merchant. Specifically, when the execution reputation is judged to be less than the preset execution reputation threshold, it can be understood that the target merchant does not have the capability of completing the bidding scheme project, and the condition that the score difference is greater than or equal to the preset score difference threshold may be due to the fact that the subjectivity of the evaluation result of the evaluation expert is too high, and at this time, the evaluation level of the evaluation expert can be reduced.

Therefore, the optional embodiment can analyze the execution capacity of the target merchant and further determine the execution credibility of the target merchant, so as to determine whether the target information uploaded by the target merchant is real or not and whether the subjective evaluation condition of a target evaluation expert exists or not, thereby being beneficial to improving the intellectualization of the analysis mode of the project evaluation system and improving the comprehensiveness of information analysis, and further improving the reliability and the accuracy of the obtained project evaluation result to ensure the smooth execution of the subsequent related projects.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent project review device based on bid documents according to an embodiment of the present invention. As shown in fig. 3, the intelligent bid document-based project review device may include:

an obtaining module 301, configured to obtain a bid document to be reviewed;

the determining module 302 is configured to determine at least one review item corresponding to the bid document according to the bid type of the bid document;

the review module 303 is configured to, for each review project, execute a matched review operation on the review project according to the project type of the review project, and obtain a project review result of the review project;

the determining module 302 is further configured to determine a target review result of the bid document according to the obtained all the project review results.

In an embodiment of the present invention, the bid type includes at least one of a service-type bid type, an item procurement-type bid type, and an engineering-construction-type bid type; the project review result of the review project comprises a project score of the review project; the target review result for the bid document includes a target score for the bid document.

Therefore, the project intelligent evaluation device based on the bid documents, which is described by implementing the embodiment of fig. 3, can reduce manpower and material resources required for evaluating the bid documents and realize project intelligent evaluation of the bid documents, so that the project intelligent evaluation device is beneficial to flexibly carrying out targeted evaluation according to the project types of the evaluation projects and improving the evaluation work efficiency of the bid document projects, and is also beneficial to avoiding the subjective evaluation and bid evaluation conditions of evaluation experts, further improving the reliability and accuracy of the evaluation results of the obtained bid documents and enriching the intelligent evaluation modes of a project evaluation system, thereby realizing the standardized and fair evaluation of the bid document projects.

In an optional embodiment, the obtaining module 301 is further configured to, before the review module 303 performs, for each review item, a matching review operation on the review item according to the item type of the review item to obtain an item review result of the review item, obtain target information of the review item for each review item;

the determining module 302 is further configured to determine an information analysis type corresponding to the target information; when the information analysis type only comprises a first calculation analysis type, determining the project type of the evaluation project as a first evaluation project type; and when the information analysis type comprises a second calculation analysis type and a semantic analysis type, determining the item type of the review item as a second review item type.

In this optional embodiment, the target information is information reported by the target merchant.

It can be seen that the implementation of the intelligent bid document-based project review device described in fig. 4 can determine the project type of the review project according to the analysis mode required for reviewing the project, so as to review each review project in a targeted and dependent manner, reduce the subjective review, and improve the reliability and accuracy of the project review result of each obtained review project, thereby facilitating the subsequent smooth obtaining of the reliable and accurate review result of the bid document, and embodying the normalization and the flattening of the bid evaluation of the bid document.

In another optional embodiment, the review module 303 includes:

the first determining submodule 3031 is configured to determine, for each review project, when the project type of the review project is the first review project type, a first computational analysis logic matched with the first computational analysis type according to the first computational analysis type corresponding to the target information of the review project;

the first analysis submodule 3032 is configured to perform a first computational analysis operation on the target information according to the first computational analysis logic, to obtain a first computational analysis result of the target information, and use the first computational analysis result as a project review result of the review project;

the first determining sub-module 3031 is further configured to determine, when the project type of the review project is a second review project type, a second calculation analysis logic matched with the second calculation analysis type according to the second calculation analysis type corresponding to the target information of the review project;

the first analysis submodule 3032 is further configured to perform a second calculation analysis operation on the target information according to the second calculation analysis logic, so as to obtain a second calculation analysis result of the target information, which is used as a first review result of the review item;

the second analysis submodule 3033 is configured to perform semantic analysis operation on the target information according to the semantic analysis type corresponding to the target information of the evaluation project, so as to obtain a semantic analysis result of the target information, and use the semantic analysis result as a second evaluation result of the evaluation project;

the second determining sub-module 3034 is configured to determine a project evaluation result of the evaluation project according to the first evaluation result and the second evaluation result.

In this alternative embodiment, the first review result includes a first score; the second review result includes a second score.

Therefore, the bid-document-based project intelligent evaluation device described in fig. 4 can execute different evaluation operations on the evaluation project according to different project types corresponding to the evaluation project, can further improve the reliability and accuracy of the obtained project evaluation result, enrich the intelligent evaluation mode of the project evaluation system, and ensure the evaluation objectivity in the evaluation process.

In yet another alternative embodiment, the second analysis submodule 3033 includes:

a first determining unit 30331, configured to determine all review experts meeting the review requirement from a preset expert set, and determine feature information of each review expert;

the first calculating unit 30332 is configured to calculate a review matching degree between the target information of the review project and each review expert according to the semantic analysis type corresponding to the target information of the review project and the feature information of all the review experts;

a screening unit 30333, configured to screen all the review experts whose review matching degree is greater than or equal to a preset review matching degree threshold from all the review experts, so as to use all the review experts as all the target review experts corresponding to the target information of the review project, so that all the target review experts perform expert analysis on the target information;

an obtaining unit 30334, configured to obtain all expert analysis results corresponding to the target information;

the first determining unit 30331 is further configured to determine a semantic analysis result of the target information as a second review result of the review item according to all the expert analysis results.

In this alternative embodiment, the characteristic information of each review expert includes the expert type and/or expert rank of each review expert.

It can be seen that the implementation of the intelligent project evaluation device based on the bid document as described in fig. 4 can combine the relevant information of the evaluation experts to intelligently match the evaluation experts corresponding to the evaluation project, thereby ensuring the smooth project evaluation work, not only being beneficial to accelerating the evaluation work efficiency of the bid document, but also being beneficial to avoiding the occurrence of subjective evaluation results caused by artificial bid reading, and improving the precision of the project evaluation results.

In another alternative embodiment, the way for the first determining unit 30331 to determine all the review experts meeting the review requirement from the preset expert set specifically is:

Therefore, the project intelligent evaluation device based on the bid document described in the embodiment of fig. 4 can analyze the historical evaluation condition of the expert to obtain the evaluation reputation of the expert, and further screen the expert through the evaluation reputation, so that the occurrence of the subjective evaluation condition of the determined evaluation expert is reduced, the reliability and the accuracy of the obtained project evaluation result are improved, and the objectivity and the fairness of the evaluation process are shown.

In yet another alternative embodiment, the second determining submodule 3034 includes:

a second calculating unit 30341, configured to calculate a score difference between the first score and the second score according to the first review result and the second review result;

a determining unit 30342, configured to determine whether the score difference is smaller than a preset score difference threshold;

a second determining unit 30343, configured to determine a first weight corresponding to the first review result and a second weight corresponding to the second review result when the determining unit 30342 determines that the score difference is smaller than the preset score difference threshold, and determine a project review result of the review project according to the first weight and the second weight;

the second determining unit 30343 is further configured to generate a project exception result of the review project when the determining unit 30342 determines that the score difference is greater than or equal to the preset score difference threshold, and determine the project exception result as a project review result of the review project.

It can be seen that, the bid-document-based project intelligent review device described in fig. 4 can perform mutual check on the reliability of the results through the first review result and the second review result, so that the obtained first review result and the second review result can form complementary effects, and further, the project review abnormal condition existing when the project is reviewed can be favorably checked out in the follow-up process, and the reliability and the accuracy of the obtained project result can be ensured.

In yet another optional embodiment, the second determining submodule 3034 further includes:

an analyzing unit 30344, configured to analyze, according to the target information of the evaluation item, the execution capacity of the target merchant after the determining unit 30342 determines that the score difference is greater than or equal to the preset score difference threshold;

the second determining unit 30343 is further configured to determine the execution credibility of the target merchant according to the execution capacity of the target merchant;

the determining unit 30342 is further configured to determine whether the execution reputation is greater than or equal to a preset execution reputation threshold; when the execution credibility is judged to be greater than or equal to the preset execution credibility threshold, triggering the second determining unit 30343 to perform an operation of determining a first weight corresponding to the first review result and a second weight corresponding to the second review result, and determining a project review result of the review project according to the first weight and the second weight; when the execution credibility is judged to be smaller than the preset execution credibility threshold, the second determining unit 30343 is triggered to execute the operation of generating the project abnormal result of the review project and determining the project abnormal result as the project review result of the review project.

In this alternative embodiment, the target information includes at least one of business conditions of the target merchant, technical parameter conditions of the target merchant, device parameter conditions of the target merchant, and asset conditions of the target merchant.

It can be seen that, by implementing the bid-file-based project intelligent review device described in fig. 4, the execution capability of the target merchant can be analyzed, and then the execution credibility of the target merchant is determined, so as to determine whether the target information uploaded by the target merchant is real or not and whether the subjective review condition of the target review expert exists or not, which is beneficial to improving the intellectualization of the analysis mode of the project review system, improving the comprehensiveness of information analysis, and improving the reliability and accuracy of the obtained project review result, so as to ensure the smooth execution of the subsequent related projects.

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent project review device based on bid documents according to an embodiment of the present invention. As shown in fig. 5, the intelligent bid-document-based project review device may include:

a memory 401 storing executable program code;

a processor 402 coupled with the memory 401;

processor 402 invokes executable program code stored in memory 401 to perform the steps of the bid-document based project intelligent review method described in either embodiment one or embodiment two of the present invention.

EXAMPLE five

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer instructions are used for executing the steps of the project intelligent evaluation method based on the bid document described in the first embodiment or the second embodiment of the invention.

EXAMPLE six

The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps of the bid-document-based project intelligent review method described in the first embodiment or the second embodiment.

The above-described embodiments of the apparatus are only illustrative, and the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of 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. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above technical solutions may essentially or in part contribute to the prior art, be embodied in the form of a software product, which may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

Finally, it should be noted that: the project intelligent review method and device based on the bid document disclosed in the embodiment of the invention are only the preferred embodiment of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A project intelligent review method based on bid documents is characterized by comprising the following steps:

obtaining a bid document to be reviewed;

determining at least one review project corresponding to the bid document according to the bid type of the bid document; the bid type comprises at least one of a service type bid type, an article purchasing type bid type and an engineering construction type bid type;

2. The intelligent bid-document-based project review method of claim 1, wherein prior to said performing, for each of said review projects, a matching review operation on said review project based on the project type of said review project to obtain a project review result for said review project, said method further comprises:

3. The intelligent bid-document-based project review method of claim 2, wherein said performing, for each of the review projects, a matching review operation on the review project based on the project type of the review project to obtain a project review result for the review project comprises:

4. The intelligent project review method based on the bid document as claimed in claim 3, wherein the step of performing semantic analysis operation on the target information according to the semantic analysis type corresponding to the target information of the review project to obtain a semantic analysis result of the target information, and the semantic analysis result is used as a second review result of the review project and comprises:

screening all the evaluation experts with the evaluation matching degree being more than or equal to a preset evaluation matching degree threshold value from all the evaluation experts, and taking the screened evaluation experts as all the target evaluation experts corresponding to the target information of the evaluation project so as to enable all the target evaluation experts to execute expert analysis operation on the target information;

5. The intelligent bid-document-based project review method of claim 4, wherein the step of determining all review experts meeting the review requirement from a preset expert set comprises:

6. The method for intelligently reviewing a bid-document based project according to any one of claims 3-5, wherein said determining a project review result for the reviewed project from the first review result and the second review result comprises:

and when the score difference is judged to be greater than or equal to the preset score difference threshold value, generating a project abnormal result of the review project, and determining the project abnormal result as the project review result of the review project.

7. The intelligent bid-document-based project review method of claim 6, wherein after determining that the score difference is greater than or equal to the preset score difference threshold, the method further comprises:

when the execution credibility is judged to be larger than or equal to the preset execution credibility threshold, triggering and executing the operation of determining a first weight corresponding to the first review result and a second weight corresponding to the second review result, and determining a project review result of the review project according to the first weight and the second weight;

and when the execution credibility is judged to be smaller than the preset execution credibility threshold, triggering and executing the operation of generating the project abnormal result of the review project, and determining the project abnormal result as the project review result of the review project.

8. An intelligent project review device based on bid documents, the device comprising:

the acquisition module is used for acquiring the bid document to be evaluated;

the determining module is used for determining at least one review item corresponding to the bid document according to the bid type of the bid document; the bid type comprises at least one of a service type bid type, an article purchasing type bid type and an engineering construction type bid type;

9. An intelligent project review device based on bid documents, the device comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor invokes the executable program code stored in the memory to perform the bid-document based project intelligent review method of any of claims 1-7.

10. A computer storage medium having stored thereon computer instructions which, when invoked, perform the method for intelligent review of a project based on bid documents as recited in any one of claims 1-7.