Intelligent remote distributed bid evaluation system and method

Abstract

The embodiment of the invention relates to the technical field of data processing, in particular to an intelligent remote distributed bid evaluation system and method, and the system comprises a distributed evaluation system, an expert management system and an AI algorithm service system. In the bid evaluation preparation stage, the distributed evaluation system generates a plurality of subjective evaluation items and objective evaluation items about the bid files according to the received bid invitation file and the plurality of bid files; in the bid evaluation stage, the distributed evaluation system calls an expert management system to extract a plurality of bid evaluation experts from an expert database, and distributes bid evaluation tasks corresponding to the subjective evaluation items to account systems of the bid evaluation experts on the distributed evaluation system for the bid evaluation experts to perform evaluation; distributing bid evaluation tasks corresponding to the objective evaluation items to an AI algorithm service system for evaluation; and summarizing all review results to generate a bid evaluation report about whether the bid winner exists or not. According to the scheme, the problems in the current'on-site expert centralized closed 'bid evaluation mode can be effectively solved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to an intelligent remote, distributed bidding system and method. Background Technology

[0002] Bid evaluation is a crucial step in the bidding process and a key focus of procurement and management. The evaluation model, in turn, determines the management approach and the quality and effectiveness of the evaluation. The traditional "on-site, closed-door, expert-led" evaluation model has several problems that are difficult to address effectively: Maintaining confidentiality is difficult. The centralized evaluation process by expert panel creates opportunities for suppliers to collude and for individual experts to leak information. Due to the complexity of the evaluation process, oversight is challenging and costly. Even with strengthened confidentiality measures, it remains difficult to comprehensively control all potential leaks.

[0003] Significant interference exists. During centralized bid evaluation, bid evaluation experts are prone to influencing each other. The evaluation results are easily guided (or misled) by some owner representatives, "powerful experts," "opinion leaders," and "bidders," making it difficult to guarantee the independent review of each expert and the objectivity and impartiality of the evaluation results.

[0004] Low quality. Each bid evaluation requires experts to read multiple bid documents in a short period of time and make objective evaluations based on the requirements of the bidding documents. Many experts, due to factors such as a lack of responsibility, insufficient ability, or subjective bias, rush through the evaluations to meet the time requirements, making it difficult to guarantee the quality of the evaluations.

[0005] High costs. Evaluation experts come from all over the country and generally need to arrive at the evaluation site a day in advance and return the day after the evaluation concludes, typically taking 3-7 days round trip. The entire evaluation process incurs significant economic, management, and infrastructure and service costs, and for busy experts, it also incurs substantial time costs.

[0006] Poor experience. To prevent the risk of leaks, each bidding site needs to continuously strengthen confidentiality measures, such as collecting mobile phones, security checks, signal jamming, full-process monitoring, and long-term closed management. The poor experience of the bidding experts further reduces their enthusiasm for participating in the bidding (currently, the expert response rate is only 5-6%), making expert resources increasingly scarce. Summary of the Invention

[0007] The purpose of this invention is to provide an intelligent remote distributed bidding evaluation system and method that can effectively solve the above-mentioned problems existing in the current "on-site expert centralized closed" bidding evaluation mode.

[0008] In the first aspect, this application provides an intelligent remote distributed bidding evaluation system, including: a distributed review system, an expert management system, and an AI algorithm service system; During the bid evaluation preparation stage: The distributed review system is used to generate multiple review items for the received tender documents and multiple tender documents. The multiple review items are divided into subjective review items that require subjective review by the bid evaluation experts and objective review items that require objective quantitative review. During the bid evaluation and review stage: The distributed review system is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and distribute the bid evaluation tasks corresponding to the subjective review items to the bid evaluation experts' account systems on the distributed review system for the bid evaluation experts to conduct reviews; distribute the bid evaluation tasks corresponding to the objective review items to the AI ​​algorithm service system for reviews; and summarize all review results to generate a bid evaluation report on whether there is a winning bidder.

[0009] Optionally, the distributed review system includes a bid evaluation control module, a document parsing module, and a bid evaluation module; During the bid evaluation preparation stage: The overall bid evaluation control module is used to extract the hidden bidding requirements and their evaluation criteria from the bidding documents and multiple bid documents received by calling the document parsing module. It extracts the bid response corresponding to each bidding requirement with hidden bidder information from each bid document. For each bid document, it encapsulates the corresponding bidding requirements, evaluation criteria and bid response to generate multiple evaluation items for the bid document. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by bid evaluation experts and objective evaluation items that require objective quantitative evaluation. During the bid evaluation and review stage: The overall bid evaluation control module is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and send the information of the multiple bid evaluation experts and the evaluation items of each bid document to the bid evaluation module; The bid evaluation module is used to generate a first bid evaluation task sheet for each bid evaluation expert. The first bid evaluation task sheet includes multiple subjective review items. The first bid evaluation task sheet is distributed to the corresponding bid evaluation expert's account system on the distributed review system so that the bid evaluation expert can submit the first review result after reviewing each subjective review item. The evaluation module is also used to generate a second evaluation task sheet for the AI ​​algorithm service system. The second evaluation task sheet includes multiple objective evaluation items. The second evaluation task sheet is sent to the AI ​​algorithm service system so that the AI ​​algorithm service system can submit the second evaluation result after reviewing each objective evaluation item. The bid evaluation module is also used to summarize all the first review results and the second review results to generate a bid evaluation report on whether there is a winning bidder.

[0010] Optionally, the bid evaluation stage includes a preliminary evaluation stage and a detailed evaluation stage in sequence, and the evaluation items include evaluation items corresponding to the preliminary evaluation bidding requirements and evaluation items corresponding to the detailed evaluation bidding requirements; The evaluation module includes: The preliminary evaluation unit is used to work with the overall bid evaluation control module, the expert management system and the AI ​​algorithm service system to complete the preliminary evaluation of the evaluation items corresponding to the preliminary evaluation bidding requirements, and based on the preliminary evaluation results, generate the preliminary bid evaluation results to determine whether there are qualified candidate bidders, and terminate the bid evaluation process when the number of qualified candidate bidders is less than 2. The detailed evaluation unit is used to work with the overall bid evaluation control module, the expert management system, and the AI ​​algorithm service system to complete the detailed evaluation of the evaluation items corresponding to the detailed bid evaluation requirements, and generate a detailed bid evaluation result based on the detailed evaluation results to determine whether there is a winning bidder. The evaluation items corresponding to the detailed bid evaluation requirements are the evaluation items corresponding to the detailed bid evaluation requirements of the bid documents of qualified candidate bidders in the preliminary bid evaluation results, and simultaneously satisfy the condition that the number of qualified candidate bidders in the preliminary bid evaluation results is greater than or equal to two. The bid evaluation report unit is used to generate a bid evaluation report with no successful bidder when the number of qualified candidate bidders in the preliminary bid evaluation results is less than 2; and to generate a bid evaluation report on whether there is a successful bidder for the detailed bid evaluation results.

[0011] Optionally, during the initial evaluation stage: The overall control module for bid evaluation is used to call the expert management system to extract multiple preliminary bid evaluation experts from the expert database, and send the information of the multiple preliminary bid evaluation experts and the review items corresponding to the preliminary bid evaluation requirements of each bid document to the preliminary evaluation unit. The preliminary evaluation unit is used to generate a first preliminary evaluation task sheet for each preliminary evaluation expert. Each first preliminary evaluation task sheet includes multiple subjective review items corresponding to the preliminary evaluation bidding requirements. The first preliminary evaluation task sheet is distributed to the account system of the corresponding preliminary evaluation expert in the distributed evaluation system so that the preliminary evaluation expert can review each subjective review item in the first preliminary evaluation task sheet and submit the first preliminary evaluation result. The first preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the first evaluation results.

[0012] Optionally, during the initial evaluation stage: The preliminary evaluation unit is used to generate a second preliminary evaluation task sheet for the AI ​​algorithm service system. Each second preliminary evaluation task sheet includes multiple objective review items corresponding to the preliminary evaluation bidding requirements. The second preliminary evaluation task sheet is sent to the AI ​​algorithm service system so that the AI ​​algorithm service system can submit the second preliminary evaluation result after reviewing each objective review item in the second preliminary evaluation task sheet. The second preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the second evaluation results.

[0013] Optionally, during the detailed review phase: The overall bid evaluation control module is used to call the expert management system to extract multiple detailed bid evaluation experts from the expert database, and send the information of the multiple detailed bid evaluation experts and the review items corresponding to the detailed bid evaluation requirements of the bid documents of each qualified candidate bidder in the preliminary bid evaluation results to the detailed evaluation unit. The detailed evaluation unit is used to generate a first detailed evaluation task sheet for each detailed evaluation expert. Each first detailed evaluation task sheet includes multiple subjective review items corresponding to the detailed evaluation bidding requirements of the tender documents of each qualified candidate bidder in the preliminary evaluation results. The first detailed evaluation task sheet is distributed to the account system of the corresponding detailed evaluation expert in the distributed evaluation system so that the detailed evaluation expert can review each subjective review item in the first detailed evaluation task sheet and submit the first detailed evaluation result. The first detailed evaluation result is the detailed evaluation result that belongs to the detailed evaluation stage among all the first evaluation results.

[0014] Optionally, during the detailed review phase: The detailed evaluation unit is used to generate a second detailed evaluation task sheet for the AI ​​algorithm service system. Each second detailed evaluation task sheet includes multiple objective evaluation items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results. The second detailed evaluation task sheet is sent to the AI ​​algorithm service system so that the AI ​​algorithm service system can submit the second detailed evaluation result after reviewing each objective evaluation item in the second detailed evaluation task sheet. The second detailed evaluation result is the detailed evaluation result that belongs to the detailed evaluation stage among all the second evaluation results.

[0015] Optionally, the intelligent remote distributed bidding system further includes: a supplier management system and a Falcon system; The overall bid evaluation control module is also used to call the Falcon system to issue a credit warning based on the bidder information in the received bid documents, and to call the supplier management system to check the credit handling status. If the bidder has a credit violation and / or has been dealt with for credit violations, the bidder's bid documents will be rejected and the generation of evaluation items for the bid documents will not be performed.

[0016] Optionally, the intelligent remote distributed bidding system further includes: a bidding system and a bid opening system; The bidding system is used to decrypt the encrypted bid documents submitted by the bidders and push the decrypted bid documents to the bid evaluation control module. The bid evaluation control module is also used to call the bidding system to extract information from the bid documents received from the bid opening system to obtain the bidder information in the bid documents; and to send the bid evaluation report generated by the bid evaluation module to the bidding system so that the bidding system can continue to execute the bidding process based on the bid evaluation report.

[0017] Optionally, the intelligent remote distributed bidding system further includes: an electronic signature system; The overall control module for bid evaluation is also used to call the electronic signature system so that the bid evaluation experts can electronically sign the first review result submitted after review by the bid evaluation experts through the electronic signature system, and to call the electronic signature system to automatically generate the electronic signature of the bid evaluation experts in the bid evaluation report.

[0018] Optionally, the intelligent remote distributed bidding system further includes: an E-bidding system; The overall control module for bid evaluation is also used to call the E-Bid Information System so that the bid evaluation experts can communicate with each other online during the review period through the E-Bid Information System.

[0019] Optionally, the intelligent remote distributed bidding system further includes: a bid clearing tool; The overall bid evaluation control module is also used to call the bid clearing tool so that, in the case where the bid evaluation process is terminated at the end of the preliminary evaluation stage, the bid price is cleared and a bid clearing report is received.

[0020] Optionally, the intelligent remote distributed bidding system further includes: a labor cost settlement system; The overall control module for bid evaluation is also used to push the review records of each bid evaluation expert to the labor cost settlement system after the bid evaluation review process is completed, so that the labor cost settlement system can calculate the workload of each bid evaluation expert and calculate and distribute labor costs based on the workload.

[0021] Secondly, this application provides another intelligent remote distributed bidding system, including: a distributed review system and an expert management system; During the bid evaluation preparation stage: The distributed review system is used to generate multiple review items for the received tender documents and multiple tender documents. During the bid evaluation and review stage: The distributed review system is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and distribute the bid evaluation tasks corresponding to the review items to the bid evaluation experts' account systems on the distributed review system for the bid evaluation experts to conduct reviews; and summarize all review results to generate a bid evaluation report on whether there is a winning bidder.

[0022] Optionally, the distributed review system includes a bid evaluation control module, a document parsing module, and a bid evaluation module; During the bid evaluation preparation stage: The overall bid evaluation control module is used to extract the hidden bidding requirements and their evaluation criteria from the bidding documents and multiple bid documents received by calling the document parsing module. It also extracts the bid response with hidden bidder information corresponding to each bidding requirement from each bid document, and encapsulates the corresponding bidding requirements, evaluation criteria and bid response for each bid document to generate multiple evaluation items for the bid document. During the bid evaluation and review stage: The overall bid evaluation control module is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and send the information of the multiple bid evaluation experts and the evaluation items of each bid document to the bid evaluation module; The bid evaluation module is used to generate a third bid evaluation task sheet for each bid evaluation expert. The third bid evaluation task sheet includes multiple review items. The third bid evaluation task sheet is distributed to the corresponding bid evaluation expert's account system on the distributed review system so that the bid evaluation expert can submit the third review result after reviewing each review item. The evaluation module is also used to summarize all the third review results and generate an evaluation report on whether there is a winning bidder.

[0023] Thirdly, this application provides an intelligent remote, distributed bidding evaluation method, including: During the bid evaluation preparation stage: For the received tender documents and multiple tender documents, generate multiple evaluation items for the tender documents. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by the evaluation experts and objective evaluation items that require objective quantitative evaluation. During the bid evaluation and review stage: Multiple evaluation experts are selected from the expert database, and the evaluation tasks corresponding to the subjective review items are distributed to the account systems of the evaluation experts for them to conduct reviews. The evaluation tasks corresponding to the objective evaluation items are evaluated using AI algorithms; All review results are summarized to generate a bid evaluation report indicating whether a successful bidder exists.

[0024] Optionally, during the bid evaluation preparation stage, for the received bidding documents and multiple bid documents, multiple evaluation items for the bid documents are generated, including: For the received tender documents and multiple bid documents, the tender documents extract the hidden tender requirements and their evaluation criteria for the tender project. For each bid document, the bid response corresponding to each tender requirement with hidden bidder information is extracted. For each bid document, the corresponding tender requirements, evaluation criteria and bid response are encapsulated to generate multiple evaluation items for the bid document. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by the evaluation experts and objective evaluation items that require objective quantitative evaluation. During the bid evaluation and review stage, multiple bid evaluation experts are selected from the expert database, and the bid evaluation tasks corresponding to the subjective review items are distributed to the account systems of the bid evaluation experts for review; the bid evaluation tasks corresponding to the objective review items are reviewed using AI algorithms; all review results are summarized to generate a bid evaluation report on whether a winning bidder exists, including: Multiple evaluation experts are selected from the expert database, and a first evaluation task sheet is generated for each evaluation expert. The first evaluation task sheet includes multiple subjective review items. The first evaluation task sheet is distributed to the account system of the corresponding evaluation expert so that the evaluation expert can submit the first review result after reviewing each subjective review item. A second evaluation task sheet is generated, which includes multiple objective evaluation items. After the evaluation of each objective evaluation item is completed using an AI algorithm, the second evaluation result is submitted. Summarize all the first review results and the second review results to generate a bid evaluation report on whether a successful bidder exists.

[0025] Fourthly, this application provides another intelligent remote distributed bidding method, including: During the bid evaluation preparation stage: For the received tender documents and multiple tender documents, generate multiple review items for the tender documents; During the bid evaluation and review stage: Multiple evaluation experts are selected from the expert database, and the evaluation tasks corresponding to the evaluation items are distributed to the account systems of the evaluation experts for them to conduct evaluations. All review results are summarized to generate a bid evaluation report indicating whether a successful bidder exists.

[0026] Optionally, during the bid evaluation preparation stage, for the received bidding documents and multiple bid documents, multiple evaluation items for the bid documents are generated, including: For the received tender documents and multiple bid documents, extract the various tender requirements and their evaluation criteria for the hidden tender project from the tender documents, extract the bid responses corresponding to each tender requirement that hide the bidder information from each bid document, and encapsulate the corresponding tender requirements, evaluation criteria and bid responses for each bid document to generate multiple evaluation items for the bid document; During the bid evaluation and review stage, multiple bid evaluation experts are selected from the expert database, and the bid evaluation tasks corresponding to the evaluation items are distributed to the account systems of the bid evaluation experts for their review; all review results are summarized to generate a bid evaluation report on whether a winning bidder exists, including: Multiple evaluation experts are selected from the expert database, and a third evaluation task sheet is generated for each evaluation expert. The third evaluation task sheet includes multiple evaluation items. The third evaluation task sheet is distributed to the account system of the corresponding evaluation expert so that the evaluation expert can submit the third evaluation result after reviewing each evaluation item. Summarize all the third review results to generate a bid evaluation report on whether a successful bidder exists.

[0027] The intelligent remote distributed bidding system and method provided in this application Evaluation experts can complete the remote, distributed evaluation process by logging into the intelligent remote evaluation system, eliminating the need for "on-site, centralized, closed-loop" evaluation and effectively solving some of the problems associated with this method. During the evaluation preparation phase, all content to be evaluated in the bid documents is broken down into multiple subjective and objective evaluation items. In the evaluation phase, for the subjective evaluation items, a temporary expert team is formed from the expert database through the expert management system to review them. This avoids potential collusion between bidders and evaluation experts, which could occur if the experts are disclosed before the evaluation, and also dilutes the dominant contribution of a particular expert to the final evaluation result of a specific bid. For the objective evaluation items, an AI algorithm service system is used to review them. This reduces the workload of the evaluation experts, lowers the proportion of subjective evaluation results, and improves evaluation efficiency and the objectivity and accuracy of the results by using an AI algorithm service system to assist the evaluation experts. Attached Figure Description

[0028] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, and these illustrative descriptions do not constitute a limitation on the embodiments.

[0029] Figure 1This is a schematic diagram of the structure of an intelligent remote distributed bidding system provided in an embodiment of this application; Figure 2 This is a schematic diagram of another intelligent remote distributed bidding system provided in an embodiment of this application; Figure 3 This is a schematic diagram of another intelligent remote distributed bidding system provided in an embodiment of this application; Figure 4 This is a schematic diagram of another intelligent remote distributed bidding system provided in an embodiment of this application; Figure 5 This is a schematic diagram of an intelligent remote, distributed bidding method provided in an embodiment of this application; Figure 6 This is a schematic diagram of another intelligent remote distributed bidding method provided in an embodiment of this application; Figure 7 This is a schematic diagram of another intelligent remote distributed bidding method provided in an embodiment of this application. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to help readers better understand this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0031] From an information perspective, the root cause of the prominent problems in centralized, closed-loop bidding evaluation, such as "difficulty in maintaining confidentiality, significant interference, low quality, high cost, and poor user experience," lies in the excessive amount of information accessible to those involved in the evaluation process, making it difficult to manage. To fundamentally solve these problems, it is necessary to minimize the scope of information accessible to each individual, thereby forming a new distributed collaborative work model: distributed blind bidding intelligent remote review.

[0032] Distributed evaluation means that each expert undertakes only a small portion of the evaluation task and can only see the small portion of bidding information necessary to complete the evaluation. Experts are isolated from each other and do not affect each other. After each expert completes their evaluation task, the system automatically generates an unalterable evaluation report.

[0033] Blind bidding refers to a bidding process in which the bidding project, evaluation experts, and bidders' information are concealed, so that no one knows which expert, where, or which bidder's response is being evaluated.

[0034] Remote evaluation refers to the process by which evaluation experts, from their workplace rather than a centralized evaluation site, independently and online complete the evaluation tasks according to the evaluation requirements through an encrypted network, without the need for travel. "Intelligence" refers to entrusting objective, quantifiable review tasks to artificial intelligence systems. Simultaneously, AI systems assist experts in completing subjective review tasks, thereby improving the quality and efficiency of the evaluation process. As the capabilities of AI systems further enhance, they gradually take over some subjective review tasks, progressing from easier to more complex.

[0035] The overall concept of this application's technical solution is to comprehensively utilize the above methods to strive to prevent, or even eliminate, leaks in the bidding process under minimal (or even no) supervision.

[0036] The intelligent remote distributed bidding system and method provided in this application will be fully described below through multiple embodiments.

[0037] Example 1: This embodiment provides an intelligent remote, distributed bidding evaluation system, such as... Figure 1 As shown, the intelligent remote distributed bidding system includes: a distributed review system 0, an expert management system 4, and an AI algorithm service system 6. The distributed review system 0 is the core system of this embodiment. It is responsible for selecting evaluation experts by calling the expert management system 4, and for completing the evaluation work collaboratively by supporting distributed expert participation and calling the AI ​​algorithm service system 6. Before the bidding process ends, all evaluation-related data is transmitted and stored in encrypted form. No one can know which expert reviewed what content, and the evaluation results cannot be leaked or influenced.

[0038] During the bid evaluation preparation stage: The distributed review system 0 is used to generate multiple review items for the received tender documents and multiple tender documents. The multiple review items are divided into subjective review items that require subjective review by the evaluation experts and objective review items that require objective quantitative review. During the bid evaluation and review stage: The distributed review system 0 is used to call the expert management system 4 to extract multiple bid evaluation experts from the expert database and distribute the bid evaluation tasks corresponding to the subjective review items to the bid evaluation experts' account systems on the distributed review system 0 for the bid evaluation experts to conduct reviews; distribute the bid evaluation tasks corresponding to the objective review items to the AI ​​algorithm service system 6 for review; summarize all review results and generate a bid evaluation report on whether there is a winning bidder.

[0039] Specifically, such as Figure 1 As shown, the distributed review system 0 may include a bid evaluation control module 01, a document parsing module 02, and a bid evaluation module 03.

[0040] Among them, the overall control module 01 for bid evaluation, as the core control module of the distributed review system 0, is responsible for the overall scheduling and control of the bid evaluation process; the document parsing module 02 is responsible for parsing the bidding documents into structured data and generating review items during the bid evaluation preparation stage, in order to prepare for generating task sheets during the bid evaluation review stage; the bid evaluation module 03 is responsible for supporting bid evaluation experts and scheduling the AI ​​algorithm service system 6 to complete the bid evaluation work.

[0041] Expert Management System 4 is responsible for providing services for extracting experts and obtaining expert information.

[0042] AI Algorithm Service System 6 is responsible for providing various artificial intelligence algorithm services for bid evaluation.

[0043] In this implementation example, the overall bid evaluation process is divided into two stages: the bid preparation stage and the bid review stage.

[0044] During the bid evaluation preparation stage: The overall bid evaluation control module 01 is used to extract the hidden bidding requirements and their evaluation criteria from the received bidding documents and multiple bid documents by calling the file parsing module 02. It extracts the bid responses corresponding to each bidding requirement with hidden bidder information from each bid document, and encapsulates the corresponding bidding requirements, evaluation criteria and bid responses for each bid document to generate multiple evaluation items for the bid document. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by bid evaluation experts and objective evaluation items that require objective quantitative evaluation.

[0045] In this embodiment, referencing the college entrance examination grading process, the bidding and evaluation process is transformed into a "question setting—question answering—grading" model. Therefore, the organization method of bidding documents is changed: The system standardizes, restructures, and systematically deploys bidding and tender documents. The overall evaluation control module 01, by calling the document parsing module 02, automatically decomposes the various requirements and scoring points in the bidding documents into a series of "questions." Bidders complete their bids by "answering" these questions one by one (making bid document preparation more standardized and convenient). During bid opening, the document parsing module 02 automatically encapsulates each "question" (also called "bidding requirement"), each bidder's corresponding "answer" (also called "bid response"), and the corresponding scoring rules (also called "evaluation criteria"), generating independent evaluation items. Each evaluation item consists of a bidding requirement, a bid response, and corresponding evaluation criteria. Simultaneously, artificial intelligence (AI) algorithms are used to "blindly bid" on the bidding project and bidders' "answers," including: hiding bidding project and bidder information, rewriting bid responses using a large language model, and adding light and dark watermarks to the content displayed to experts using steganography techniques. After the document parsing module 02 generates each review item, it automatically generates a corresponding random password for each review item, which will be used as the unique identifier for that independent review item in the subsequent bidding process.

[0046] In this embodiment, the evaluation items are divided into subjective evaluation items that require subjective review by evaluation experts and objective evaluation items that require objective quantitative review. In the subsequent evaluation process, subjective evaluation items can be reviewed by evaluation experts, while objective evaluation items can be evaluated using AI algorithms through the AI ​​algorithm service system 6.

[0047] During the bid evaluation and review stage: The overall bid evaluation control module 01 is used to call the expert management system 4 to extract multiple bid evaluation experts from the expert database and send the information of the multiple bid evaluation experts and the evaluation items of each bid document to the bid evaluation module 03.

[0048] To achieve information-based management of bid evaluation experts, this embodiment pre-constructs an expert database. This database stores a large amount of personal information about experts who can be used for bid evaluation, including: name, age, professional field, bid evaluation experience, performance, etc. The overall bid evaluation control module 01 extracts multiple bid evaluation experts from the expert database by calling the expert management system 4. The professional fields of these experts must generally match the subjective evaluation items to be reviewed, so that they can serve as the review subjects for the subjective evaluation items during the review process. The overall bid evaluation control module 01 sends the information of the multiple bid evaluation experts extracted by the expert management system 4, as well as the evaluation items of each bid document generated by the document parsing module 02, to the bid evaluation module 03, so that the bid evaluation module 03 can execute the review processing flow for each evaluation item.

[0049] The evaluation module 03 is used to generate a first evaluation task sheet for each evaluation expert. The first evaluation task sheet includes multiple subjective review items. The first evaluation task sheet is distributed to the corresponding evaluation expert's account system on the distributed evaluation system 0 so that the evaluation expert can submit the first review result after reviewing each subjective review item.

[0050] The evaluation module 03 is also used to generate a second evaluation task sheet for the AI ​​algorithm service system 6. The second evaluation task sheet includes multiple objective review items, and sends the second evaluation task sheet to the AI ​​algorithm service system 6 so that the AI ​​algorithm service system 6 can submit the second review results after reviewing each objective review item.

[0051] This implementation changes the way evaluation experts are composed: objective and quantitative evaluation items involving bidder qualifications, performance, credit, and pricing (objective evaluation items) are directly evaluated by the evaluation module 03 through calling the AI ​​algorithm service system 6 using AI algorithms; for subjective evaluation items that require expert review, evaluation task sheets can be organized and issued to each evaluation expert to complete the subjective review.

[0052] For example, depending on the complexity of different procurement targets, each bidding section can be set with 10-25 review items.

[0053] In this example, for each subjective review item, multiple experts can be randomly selected as evaluation experts according to the required professional expertise to conduct the review. Each subjective review item must be reviewed by at least 5 evaluation experts. Evaluation module 03 randomly combines any part of all subjective review items to be reviewed to generate a first evaluation task sheet for each evaluation expert, which is then distributed to the corresponding evaluation expert, notifying them to complete the review within a specified time (e.g., 24 hours). Evaluation experts can receive the first evaluation task sheet issued by evaluation module 03 by logging into their pre-activated account system on the distributed review system 0, and review each subjective review item in the first evaluation task sheet. After the review is completed, the first review result for each subjective review item is submitted.

[0054] For example, for evaluation items requiring subjective review by experts, 21 evaluation experts are randomly selected based on the required expertise. The evaluation items are then randomly assigned to these experts. Each expert's evaluation task is recorded as the first evaluation task sheet, which contains no more than 5% of the total evaluation items or any single bidder's evaluation items. This limits the influence of individual experts on the overall evaluation results. The experts are also notified to complete the evaluation within a specified timeframe.

[0055] Each evaluation expert may receive multiple independent evaluation items from different procurement projects simultaneously. This new expert composition method transforms the current practice of having 3 experts evaluate a single bid over 3-7 days into having a minimum of 5 and a maximum of 25 experts (the number of experts can be adjusted as needed) evaluate one or even several bids per day. Therefore, it effectively improves evaluation efficiency while reducing the workload, evaluation time, and scoring weight for each expert, effectively ensuring the independence of expert evaluations and the objectivity of the evaluation results.

[0056] The entire expert evaluation process can be conducted remotely and in a distributed manner. After receiving the first evaluation task, experts can log in to the distributed evaluation system (which can even be accessed via mobile phone) from any location, without needing to travel, using liveness detection methods such as facial recognition. They then evaluate and score the bid responses for each individual evaluation item according to the evaluation criteria ("reviewing"). After reviewing and confirming the results are correct, they submit the evaluation results (first evaluation result). During the evaluation process, all information seen by the experts is processed through "blind bidding," and technical means prevent experts from copying, forwarding, screenshotting, photographing, or disseminating the information. If an expert leaves the evaluation interface or switches desktops, the central control module 01 automatically locks the remote terminal used for evaluation to hide the evaluation information. Since there is no need for travel or centralized management, the overall cost and effort of the evaluation process can be significantly reduced, greatly increasing the enthusiasm of experts to participate.

[0057] In this example, all objective review items can be summarized to generate a second evaluation task sheet, which is then sent to the AI ​​algorithm service system 6. The AI ​​algorithm service system 6 then reviews each objective review item in the second evaluation task sheet and submits a second review result for each objective review item upon completion. By using the AI ​​algorithm service system 6 to assist evaluation experts in collaboratively completing the evaluation work, evaluation efficiency can be greatly improved, while minimizing subjective differences in the review results, thus making the results more accurate.

[0058] The evaluation module 03 is also used to summarize all the first and second review results and generate an evaluation report on whether there is a winning bidder.

[0059] Specifically, after receiving the first review results submitted by each expert and the first review results submitted by the AI ​​algorithm service system 6, the evaluation module 03 automatically summarizes the scores of each independent review item.

[0060] For subjective evaluation items, the scores given by the evaluation experts can be averaged as the final score for that item (if there are many evaluation experts for a particular subjective evaluation item, the lowest and highest scores can be removed, and the average of the remaining scores can be calculated). If the evaluation experts' scores for the same evaluation item differ significantly, the evaluation module 03 can automatically submit the case to the arbitration panel, which will determine the reasonableness of the scores and take appropriate action. The evaluation module 03 automatically summarizes the scores of all independent subjective evaluation items for a specific bid section and combines them with the scores of each objective evaluation item to form the final score for each bidder. Finally, the evaluation module 03 automatically generates an evaluation report based on the final scores of each bidder. The evaluation report indicates whether there is a winning bidder and specifies the winning bidder's information.

[0061] Before the bid evaluation report is automatically generated, no one knows the bid evaluation results; after the report is automatically generated, no one can tamper with the results. Each bid evaluation expert is only responsible for their own review results. This new bid evaluation method clarifies the responsibilities of bid evaluation experts and is more conducive to a comprehensive and objective assessment of them. The entire bid evaluation process is virtually "secret," and for some complex and difficult independent review items, experts can even discuss the "review" with others in private settings to make the review results more reliable.

[0062] The intelligent remote distributed bidding evaluation system provided in this implementation allows bidding experts to complete the remote distributed bidding evaluation process by logging into the system, eliminating the need for "on-site centralized closed-loop" bidding evaluation. This effectively solves some of the problems associated with using "on-site centralized closed-loop" bidding evaluation. During the bidding preparation stage, all content to be evaluated in the bid documents is broken down into multiple, fragmented evaluation items that conceal the bidding project and bidder information. This achieves blind bidding evaluation, preventing the evaluation body from cheating due to knowledge of bidder information. It also avoids the workload on the evaluation body when a single bid document is evaluated as a whole, and the potential for small differences in style or score among the evaluation items of a single bid document due to subjective bias in the evaluation body's overall assessment. During the bidding evaluation process… In the first phase, for all subjective review items among the pending items, an expert evaluation team is temporarily drawn from the expert database through the expert management system. By flexibly combining subjective review items with evaluation experts, a first evaluation task sheet is generated for each evaluation expert for review. This avoids potential cheating by bidders colluding with evaluation experts before the evaluation is announced, and also dilutes the dominant contribution of a particular evaluation expert to the final evaluation result of a particular bid document. For all objective review items among the pending items, an AI algorithm service system is invoked to review all objective review items. This reduces the workload of evaluation experts and lowers the proportion of subjective review results. Furthermore, using an AI algorithm service system to assist evaluation experts in the review process also improves evaluation efficiency and the objectivity and accuracy of the evaluation results.

[0063] Example 2 Based on the above embodiments, this embodiment further optimizes the functions and structure of the intelligent remote distributed bidding system. For example, the bidding review stage is divided into two stages, namely the preliminary review stage and the detailed review stage. Furthermore, the interactions between the bidding module itself and other system modules are refined for each review stage.

[0064] In some embodiments, the bid evaluation stage sequentially includes a preliminary evaluation stage and a detailed evaluation stage. The evaluation items include evaluation items corresponding to the preliminary evaluation bidding requirements and evaluation items corresponding to the detailed evaluation bidding requirements. The preliminary evaluation bidding requirements are the bidding requirements applicable to the preliminary evaluation stage, and the detailed evaluation bidding requirements are the bidding requirements applicable to the detailed evaluation stage. The purpose of the preliminary evaluation stage is to determine whether bidders meet the requirements for qualified candidate bidders by reviewing the evaluation items corresponding to each preliminary evaluation bidding requirement. The purpose of the detailed evaluation stage is to further determine the qualification level of bidders already identified as qualified candidate bidders in the preliminary evaluation results by reviewing the evaluation items corresponding to each detailed evaluation bidding requirement. To distinguish between these two types of evaluation items, the evaluation items corresponding to the preliminary evaluation bidding requirements can be defined as a qualification category, which is used to determine whether bidders meet the requirements for qualified candidate bidders; the evaluation items corresponding to the detailed evaluation bidding requirements can be defined as a scoring category, which is used to determine the degree to which bidders meet the requirements for qualified candidate bidders (the degree is reflected by a score).

[0065] like Figure 2 As shown, the bid evaluation module 03 may include: preliminary evaluation unit 031, detailed evaluation unit 032, and bid evaluation report unit 033.

[0066] The preliminary evaluation unit 031 is used in conjunction with the bid evaluation control module 01, the expert management system 4, and the AI ​​algorithm service system 6 to complete the preliminary evaluation of the evaluation items corresponding to the preliminary evaluation bidding requirements. Based on the preliminary evaluation results, it generates the preliminary evaluation results to determine whether there are qualified candidate bidders. If the number of qualified candidate bidders is less than 2, the bid evaluation process is terminated. Specifically, the preliminary evaluation unit 031 is responsible for scheduling the AI ​​algorithm service system 6 and supporting the evaluation experts to complete the preliminary evaluation of all bid documents and the evaluation items corresponding to the bidding requirements. Its purpose is to conduct a preliminary screening of all bidders and identify qualified candidates who can enter the detailed evaluation stage. The preliminary evaluation unit 031 and the evaluation module 03 are similar in their interaction characteristics with the overall evaluation control module 01, the expert management system 4, and the AI ​​algorithm service system 6. However, the preliminary evaluation unit 031 focuses more on the perspective of the preliminary evaluation stage, showing personalized preliminary evaluation interaction characteristics with the above modules and systems in terms of the evaluation items, evaluation experts, evaluation task sheets, and the generation of evaluation results for this stage.

[0067] For example, in the initial evaluation stage, from the perspective of supporting evaluation experts in reviewing the evaluation items, the personalized interactive functions of the above modules and systems include: The overall control module 01 for bid evaluation is used to call the expert management system 4 to extract multiple preliminary bid evaluation experts from the expert database and send the information of the multiple preliminary bid evaluation experts and the review items corresponding to the preliminary bid evaluation requirements of each bid document to the preliminary evaluation unit 031. Preliminary evaluation unit 031 is used to generate a first preliminary evaluation task sheet for each preliminary evaluation expert. Each first preliminary evaluation task sheet includes multiple subjective review items corresponding to the preliminary evaluation bidding requirements. The first preliminary evaluation task sheet is distributed to the corresponding preliminary evaluation expert's account system on the distributed evaluation system 0 so that the preliminary evaluation expert can review each subjective review item in the first preliminary evaluation task sheet and submit the first preliminary evaluation result. The first preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the first evaluation results. Specifically, the overall bid evaluation control module 01 refers to the bid evaluation experts selected from the expert database during the preliminary evaluation stage as preliminary bid evaluation experts. The overall bid evaluation control module 01 sends the information of the selected preliminary bid evaluation experts and the review items corresponding to all preliminary bid evaluation requirements to the preliminary evaluation unit 031.

[0068] Preliminary evaluation unit 031 extracts subjective evaluation items from all the evaluation items corresponding to the preliminary evaluation bidding requirements. Then, it generates a first preliminary evaluation task sheet for each preliminary evaluation expert (which can be understood as the first evaluation task sheet applicable to the preliminary evaluation stage among all first evaluation task sheets). Each first preliminary evaluation task sheet includes multiple subjective evaluation items corresponding to the preliminary evaluation bidding requirements. The number and content of subjective evaluation items included in the first preliminary evaluation task sheet of each preliminary evaluation expert can be the same or not completely different. For example, to speed up the evaluation process, the subjective evaluation items included in the first preliminary evaluation task sheet of each preliminary evaluation expert can include multiple subjective evaluation items of the same specific bidding requirement. By having each preliminary evaluation expert evaluate only the subjective evaluation items of a specific bidding requirement, the matching degree between the preliminary evaluation expert and the subjective evaluation items of that specific bidding requirement can be precisely controlled. At the same time, it can also make the contribution of each preliminary evaluation expert to the evaluation results as even as possible to each bidder's bid documents that they evaluate.

[0069] Next, the preliminary evaluation unit 031 will distribute the generated first preliminary evaluation task sheet to the corresponding preliminary evaluation experts' account system on the distributed review system 0 so that the preliminary evaluation experts can review each subjective review item in the first preliminary evaluation task sheet and submit the first preliminary review result. The first preliminary review result can be understood as the preliminary review result corresponding to the preliminary evaluation stage among all the first review results. For example, in the initial evaluation stage, from the perspective of calling the AI ​​algorithm service system 6 to evaluate the review items, the personalized interactive functions of the above modules and systems include: Preliminary evaluation unit 031 is used to generate a second preliminary evaluation task sheet for the AI ​​algorithm service system 6. Each second preliminary evaluation task sheet includes multiple objective review items corresponding to the preliminary evaluation bidding requirements. The second preliminary evaluation task sheet is sent to the AI ​​algorithm service system 6 so that the AI ​​algorithm service system 6 can submit the second preliminary evaluation result after reviewing each objective review item in the second preliminary evaluation task sheet. The second preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the second evaluation results.

[0070] Specifically, after the overall bid evaluation control module 01 sends the information of the selected preliminary bid evaluation experts and the review items corresponding to all preliminary bid evaluation requirements to the preliminary evaluation unit 031, the preliminary evaluation unit 031 will extract objective review items from all the review items corresponding to the preliminary bid evaluation requirements. Then, it will summarize these objective review items to generate a second preliminary bid evaluation task sheet (which can be understood as the second bid evaluation task sheet applicable to the preliminary evaluation stage among all second bid evaluation task sheets). Next, the preliminary evaluation unit 031 will send the generated second preliminary bid evaluation task sheet to the AI ​​algorithm service system 6 so that the AI ​​algorithm service system 6 can review each objective review item in the second preliminary bid evaluation task sheet and submit the second preliminary review result. This second preliminary review result can be understood as the preliminary review result corresponding to the preliminary evaluation stage among all the second review results. After completing the preliminary review of all review items corresponding to the preliminary bidding requirements, the preliminary review unit 031 summarizes the preliminary review results of all bidders in the preliminary review stage (including the first and second preliminary review results). Based on the preliminary review results of each bidder, it determines whether the bidder meets the requirements for a qualified candidate bidder and counts the number of qualified candidate bidders. Finally, it generates the preliminary bid evaluation result indicating whether there are qualified candidate bidders. If the number of qualified candidate bidders in the preliminary bid evaluation result is less than 2 (0 or 1), it indicates that there are no qualified candidate bidders entering the detailed evaluation stage, or that there are too few bidders entering the detailed evaluation stage to compete. Therefore, the entire bid evaluation process can be terminated at this time, and the bid evaluation process ends.

[0071] The detailed evaluation unit 032 is used in conjunction with the overall bid evaluation control module 01, the expert management system 4, and the AI ​​algorithm service system 6 to complete the detailed evaluation of the evaluation items corresponding to the detailed evaluation bidding requirements, and generate the detailed bid evaluation result based on the detailed evaluation results to determine whether there is a winning bidder. Among them, the evaluation items corresponding to the detailed evaluation bidding requirements are the evaluation items corresponding to the detailed evaluation bidding requirements of the bid documents of qualified candidate bidders in the preliminary bid evaluation results, and at the same time, the number of qualified candidate bidders in the preliminary bid evaluation results is greater than or equal to 2.

[0072] Specifically, the detailed evaluation unit 032 is responsible for scheduling the AI ​​algorithm service system 6 and supporting the evaluation experts to complete the detailed evaluation of the bid documents of all qualified candidate bidders (the number of qualified candidate bidders entering the detailed evaluation stage is greater than or equal to 2) generated after the preliminary evaluation stage. Its purpose is to determine whether there is a winning bidder by conducting a detailed review of the evaluation items corresponding to the detailed evaluation requirements of all qualified candidate bidders. The detailed evaluation unit 032 and the evaluation module 03 are similar in their interaction characteristics with the overall evaluation control module 01, the expert management system 4, and the AI ​​algorithm service system 6. However, the detailed evaluation unit 032 focuses more on the perspective of the detailed evaluation stage, demonstrating personalized detailed evaluation interaction characteristics with the aforementioned modules and systems in terms of evaluation items, evaluation experts, evaluation task sheets, and the generation of evaluation results for this stage.

[0073] For example, during the detailed evaluation phase, from the perspective of supporting evaluation experts in reviewing the evaluation items, the personalized interactive functions of the above modules and systems include: The overall bid evaluation control module 01 is used to call the expert management system 4 to extract multiple detailed bid evaluation experts from the expert database, and send the information of the multiple detailed bid evaluation experts and the review items corresponding to the detailed bid evaluation requirements of each qualified candidate bidder in the preliminary bid evaluation results to the detailed bid evaluation unit 032. The detailed evaluation unit 032 is used to generate a first detailed evaluation task sheet for each detailed evaluation expert. Each first detailed evaluation task sheet includes multiple subjective review items corresponding to the detailed evaluation bidding requirements of each qualified candidate bidder in the preliminary evaluation results. The first detailed evaluation task sheet is distributed to the account system of the corresponding detailed evaluation expert on the distributed evaluation system 0 so that the detailed evaluation expert can review each subjective review item in the first detailed evaluation task sheet and submit the first detailed review result. The first detailed review result is the detailed review result that belongs to the detailed evaluation stage among all the first review results.

[0074] Specifically, the overall bid evaluation control module 01 refers to the bid evaluation experts selected from the expert database for the detailed evaluation stage as detailed bid evaluation experts. The overall bid evaluation control module 01 sends the information of the selected detailed bid evaluation experts and all review items corresponding to the detailed evaluation bidding requirements of the qualified candidate bidders generated after the preliminary evaluation stage to the detailed evaluation unit 032. It should be noted that only when there are two or more qualified candidate bidders generated after the preliminary evaluation stage can all review items corresponding to the detailed evaluation bidding requirements of these qualified candidate bidders' bids be included in the detailed evaluation stage for review.

[0075] The detailed evaluation unit 032 extracts subjective evaluation items from all evaluation items entering the detailed evaluation stage. Then, it generates a first detailed evaluation task sheet for each detailed evaluation expert (which can be understood as the first evaluation task sheet applicable to the detailed evaluation stage among all first evaluation task sheets). Each first detailed evaluation task sheet includes subjective evaluation items corresponding to the detailed evaluation bidding requirements of multiple qualified candidate bidders from the preliminary evaluation results. The number and content of subjective evaluation items included in each detailed evaluation expert's first detailed evaluation task sheet can be the same or not completely different. For example, to speed up the evaluation process, the subjective evaluation items included in each detailed evaluation expert's first detailed evaluation task sheet can include multiple subjective evaluation items containing the same specific bidding requirement. By ensuring that each detailed evaluation expert only evaluates subjective evaluation items for a specific bidding requirement, the matching degree between the detailed evaluation expert and the subjective evaluation item for that specific bidding requirement can be precisely controlled. Simultaneously, it allows each detailed evaluation expert's contribution to the evaluation results to be distributed as evenly as possible across each bidder's bid document they evaluate.

[0076] Next, the detailed evaluation unit 032 will distribute the generated first detailed evaluation task sheet to the corresponding detailed evaluation expert's account system on the distributed review system 0 so that the detailed evaluation expert can review each subjective review item in the first detailed evaluation task sheet and submit the first detailed review result. The first detailed review result can be understood as the review result corresponding to the detailed evaluation stage among all the first review results.

[0077] For example, during the detailed review phase, from the perspective of calling the AI ​​algorithm service system 6 to review the review items, the personalized interactive functions of the above modules and systems include: The detailed evaluation unit 032 is used to generate a second detailed evaluation task sheet for the AI ​​algorithm service system 6. Each second detailed evaluation task sheet includes multiple objective evaluation items corresponding to the detailed evaluation bidding requirements of each qualified candidate bidder in the preliminary evaluation results. The second detailed evaluation task sheet is sent to the AI ​​algorithm service system 6 so that the AI ​​algorithm service system 6 can submit the second detailed evaluation result after reviewing each objective evaluation item in the second detailed evaluation task sheet. The second detailed evaluation result is the detailed evaluation result that belongs to the detailed evaluation stage among all the second evaluation results.

[0078] Specifically, after the overall bid evaluation control module 01 sends the information of the selected detailed bid evaluation experts and all the review items corresponding to the bid documents of qualified candidate bidders generated after the preliminary evaluation stage to the detailed evaluation unit 032, the detailed evaluation unit 032 will extract the objective review items corresponding to the detailed bid evaluation requirements from all the received review items, and then summarize these objective review items to generate a second detailed bid evaluation task sheet (which can be understood as the second bid evaluation task sheet applicable to the detailed evaluation stage among all second bid evaluation task sheets). Next, the detailed evaluation unit 031 will send the generated second detailed bid evaluation task sheet to the AI ​​algorithm service system 6 so that the AI ​​algorithm service system 6 can review each objective review item in the second detailed bid evaluation task sheet one by one and submit the second detailed review result. This second detailed review result can be understood as the detailed review result corresponding to the detailed evaluation stage among all second review results. After completing the detailed evaluation of all evaluation items corresponding to the bidding requirements for each qualified candidate bidder in the preliminary evaluation results, the detailed evaluation unit 032 summarizes the detailed evaluation results of all qualified candidate bidders in the detailed evaluation stage (including the first detailed evaluation results and the second detailed evaluation results). Based on the detailed evaluation results of each bidder, it determines whether the bidder's qualification level meets the requirements of the winning bidder, counts the number of winning bidders who meet the requirements, and finally generates the detailed evaluation results of whether there is a winning bidder.

[0079] In summary, the overall interaction process of each module and system in the preliminary evaluation and detailed evaluation stages is basically as described above. The significant difference between the two stages is: To avoid inaccuracies in the bid evaluation results caused by experts participating in the review twice, there is no situation where the same expert serves as the bid evaluation expert for both the preliminary bid evaluation and the detailed bid evaluation.

[0080] In the selection of bid evaluation experts, the preliminary bid evaluation experts only review whether the bidders meet the qualifications of qualified candidate bidders, and the evaluation threshold is relatively low. The requirements for the technical field and review ability of the preliminary bid evaluation experts are not too high. However, since the detailed bid evaluation experts need to further review the degree of qualification of the qualified candidate bidders and give the review results corresponding to different degrees of qualification (quantified by scoring), the evaluation threshold is higher, and the requirements for the technical field and review ability of the detailed bid evaluation experts will also become higher.

[0081] Evaluation report unit 033 is used to generate an evaluation report with no successful bidder when the number of qualified candidate bidders in the preliminary evaluation results is less than 2; and to generate an evaluation report on whether there is a successful bidder for the detailed evaluation results.

[0082] Specifically, the bid evaluation report unit 033 is responsible for automatically generating the bid evaluation report based on the review results. In this embodiment, there are two opportunities to generate the bid evaluation report. One opportunity is after the preliminary evaluation stage. If the number of qualified candidate bidders in the preliminary evaluation results is less than 2, it indicates that there are no qualified candidate bidders, or there is only 1 qualified candidate bidder. Even if the detailed evaluation stage is entered, there is no possibility of competition between bidders. In short, it is impossible or meaningless to complete all stages of the bid evaluation process. At this time, the system will terminate the entire bid evaluation process and generate a bid evaluation report with no successful bidder. The other opportunity is after the detailed evaluation stage. If the detailed evaluation result indicates that there is a successful bidder, a bid evaluation report with a successful bidder will be generated, and the information of the successful bidder will be indicated in the bid evaluation report. Otherwise, a bid evaluation report with no successful bidder will be generated.

[0083] In this embodiment, the evaluation and review stage is subdivided into a preliminary evaluation stage and a detailed evaluation stage, and the evaluation module 03 is adaptively subdivided into a preliminary evaluation unit 031 and a detailed evaluation unit 032, ensuring that each stage of the evaluation process can be effectively considered and implemented. Furthermore, both the preliminary evaluation stage and the detailed evaluation stage implement an intelligent evaluation method that utilizes distributed expert review for subjective evaluation items and calls the AI ​​algorithm service system 6 to review objective evaluation items, effectively improving the efficiency of the evaluation process.

[0084] Example 3 Based on any of the above embodiments, this embodiment takes the distributed review system 0 in the intelligent remote distributed bidding system as the core system and provides supplementary explanations of its surrounding systems.

[0085] In some embodiments, such as Figure 2 As shown, the above-mentioned intelligent remote distributed bidding system may also include: a supplier management system 3 and a Falcon system 9.

[0086] Among them, the Supplier Management System 3 is responsible for providing services for checking and handling the dishonesty of suppliers (bidders), and also receives services for pre-freezing the dishonesty of suppliers (bidders); Falcon System 9 is responsible for issuing early warnings of dishonesty to bidders and reporting these warnings to the distributed review system 0. Correspondingly, the overall bid evaluation control module 01 is also used to call the Falcon system 9 to issue a credit warning for the bidder information in the received bid documents, and to call the supplier management system 3 to check the credit handling status. If the bidder has a credit violation and / or has been dealt with for credit violation, the bidder's bid documents will be rejected and the generation of the evaluation items for the bid documents will not be executed.

[0087] Specifically, to reduce unnecessary review of bids from bidders with a history of dishonesty during the evaluation process, this embodiment adds a Falcon System 9 and a Supplier Management System 3. When the distributed review system 0 receives a bid to be reviewed, it sends the bidder information identified in the bid to the Falcon System 9 and Supplier Management System 3 for relevant information channel inquiries and to determine if any dishonesty issues exist. For example, the Supplier Management System 3 can connect to relevant credit reporting platforms, or it may have its own database storing supplier credit information, allowing for quick verification of whether a bidder has been subject to any dishonesty penalties. Similarly, the Falcon System 9 can connect to relevant databases to query the bidder's past behavior information, such as financial information, business scope, and bank account information, to determine if the bidder has engaged in dishonest behavior and to issue warnings when potential dishonesty is detected. If the Falcon System 9 and Supplier Management System 3 determine that a bidder has engaged in dishonest behavior and / or has been subject to dishonest treatment, then the bidder is considered to have committed dishonesty, and its submitted bid documents should be rejected. The generation of evaluation items for the bid documents will not be carried out, that is, the bidder's bid documents will not be reviewed.

[0088] In some embodiments, such as Figure 2 As shown, the aforementioned intelligent remote distributed bidding system may further include: a bidding system 1 and a bid opening system 2; wherein: The bidding system 2 is used to decrypt the encrypted bid documents submitted by the bidders and push the decrypted bid documents to the bid evaluation control module 01 to start the bid evaluation process.

[0089] The bid evaluation control module 01 is also used to call the bidding system 1 to extract information from the bid documents received from the bid opening system 2, and obtain the bidder information in the bid documents; and to send the bid evaluation report generated by the bid evaluation module 03 to the bidding system 1 so that the bidding system 1 can continue to execute the bidding process based on the bid evaluation report.

[0090] Here, the bidding system 1 is responsible for managing the bidding business process, providing bidding information to the distributed review system 0, and receiving the evaluation results from the distributed review system 0.

[0091] Specifically, after the bid opening, the bid opening system 2 pushes the successfully decrypted bid documents to the distributed review system 0. The distributed review system 0 calls the service of the bidding system 1 to obtain bidding information from the bid documents, which includes bidder information. Then, the distributed review system 0 calls the Falcon system 9 and the supplier management system 3 respectively to determine whether the bidder has any dishonest behavior and / or has been dealt with for dishonesty. The bid documents of bidders without dishonesty issues are sent to the bid evaluation preparation stage to generate relevant review items, thereby ensuring that all bidders who can enter the bid evaluation stage are reputable bidders.

[0092] In some embodiments, such as Figure 2 As shown, the above-mentioned intelligent remote distributed bidding system may also include: an electronic signature system 8; The overall control module 01 for bid evaluation is also used to call the electronic signature system 8 so that the bid evaluation experts can electronically sign the first review results submitted after the bid evaluation experts have reviewed them through the electronic signature system 8, and to call the electronic signature system 8 to automatically generate the electronic signatures of the bid evaluation experts in the bid evaluation report.

[0093] Specifically, when the evaluation experts submit their first evaluation results after reviewing the evaluation items, they can use the electronic signature system 8 to electronically sign the submitted first evaluation results, thereby signing and storing the evaluation results. In addition, after the evaluation review stage is completed and the final evaluation report is obtained, the overall evaluation control module 01 can also call the electronic signature system 8 to automatically generate electronic signatures for each evaluation expert in the evaluation report.

[0094] In this embodiment, the signatures of the evaluation experts at these two opportune moments can be used to record and document both the review results and the final evaluation results, ensuring the traceability of the results.

[0095] In some embodiments, such as Figure 2 As shown, the above-mentioned intelligent remote distributed bidding system may also include: E-Bid Information System 10; wherein, E-Bid Information System 10 is responsible for supporting bidding experts to conduct online discussions and exchanges when necessary.

[0096] The overall control module 01 for bid evaluation is also used to call the E-Bid Information System 10 so that bid evaluation experts can communicate with each other online during the review period through the E-Bid Information System 10.

[0097] Specifically, during the remote, distributed online evaluation process, the evaluation experts may need to discuss and exchange ideas with other experts on certain evaluation items. By setting up the E-Bid Information System 10, a communication platform can be provided more conveniently, ensuring the smooth implementation of communication links throughout the entire evaluation process. At the same time, the E-Bid Information System 10 can also monitor the content of communication between the evaluation experts to ensure the security of the evaluation.

[0098] In some embodiments, such as Figure 2 As shown, the above-mentioned intelligent remote distributed bidding system may also include: a bid clearing tool 5; this bid clearing tool is responsible for supporting cost experts to complete the bid clearing work and providing a bid clearing report.

[0099] The overall control module 01 for bid evaluation is also used to call the bid clearing tool 5 so that, in the case where the bid evaluation process is terminated at the end of the preliminary evaluation stage, the bid price is cleared and the bid clearing report is received.

[0100] Specifically, after the preliminary evaluation stage for bidders is completed, if the number of qualified candidate bidders is less than two, the cost experts can use the bid clearing tool 5 to clear the bid prices of this bid while terminating the bid evaluation process, and upload the bid clearing report through the bid clearing tool 5.

[0101] In some embodiments, such as Figure 2 As shown, the above-mentioned intelligent remote distributed bidding system may also include: a labor cost settlement system 7; the labor cost settlement system 7 is responsible for receiving valid review records and calculating and distributing labor costs to review experts.

[0102] The overall control module 01 for bid evaluation is also used to push the review records of each bid evaluation expert to the labor cost settlement system 7 after the bid evaluation review process is completed, so that the labor cost settlement system 7 can calculate the workload of each bid evaluation expert and calculate and distribute labor costs based on the workload.

[0103] Specifically, the service fees for review experts could be changed from the current calculation based on the duration of the evaluation to a comprehensive calculation based on the number and difficulty of the review items completed by the expert and the number of bidders, with payment completed online. The restriction on the number of times an expert can participate in an evaluation should also be changed. Because in this system, each expert can limit the number of review tasks they can perform in a single evaluation, or even focus on only one item required by the tender, their impact on the evaluation result is less than one percent. Even frequent participation in evaluations cannot compromise the fairness of the evaluation process. Therefore, the restriction on the number of times an expert can participate in an evaluation is meaningless, and it is worth considering lifting the restriction.

[0104] In addition, to improve the security of the remote distributed blind bidding review process by evaluation experts, a security authentication module and a liveness authentication module can be added to the distributed review system 0. When evaluation experts log in to the account system on the distributed review system 0 through remote terminals (computers, laptops, mobile phones, etc.), the security authentication module can perform security authentication on the remote terminal, ensuring that the distributed review system 0 is not maliciously accessed by dangerous devices. At the same time, when evaluation experts log in, the liveness authentication module can verify the biological characteristics of the evaluation experts to ensure the legitimacy of the evaluation experts' identities.

[0105] Example 4 This embodiment provides an intelligent remote, distributed bidding evaluation system, such as... Figure 3 As shown, the intelligent remote distributed bidding system includes: a distributed review system 0 and an expert management system 4. During the bid evaluation preparation stage: Distributed review system 0 is used to generate multiple review items for the received tender documents and multiple tender documents; During the bid evaluation and review stage: The distributed review system 0 is used to call the expert management system 4 to extract multiple bid evaluation experts from the expert database and distribute the bid evaluation tasks corresponding to the review items to the bid evaluation experts' account systems on the distributed review system 0 for the bid evaluation experts to conduct reviews; it summarizes all review results and generates a bid evaluation report on whether there is a winning bidder.

[0106] Specifically, such as Figure 3 As shown, the distributed review system 0 may include a bid evaluation control module 01, a document parsing module 02, and a bid evaluation module 03; During the bid evaluation preparation stage: The overall bid evaluation control module 01 is used to call the file parsing module 02 to extract the hidden bidding requirements and their evaluation criteria from the bidding documents and multiple bid documents. It also extracts the bid response with hidden bidder information corresponding to each bidding requirement from each bid document, and encapsulates the corresponding bidding requirements, evaluation criteria and bid response for each bid document to generate multiple evaluation items for the bid document. During the bid evaluation and review stage: The overall bid evaluation control module 01 is used to call the expert management system 4 to extract multiple bid evaluation experts from the expert database and send the information of the multiple bid evaluation experts and the evaluation items of each bid document to the bid evaluation module 03; The evaluation module 03 is used to generate a third evaluation task sheet for each evaluation expert. The third evaluation task sheet includes multiple evaluation items and is distributed to the corresponding evaluation expert's account system on the distributed evaluation system 0 so that the evaluation expert can submit the third evaluation result after reviewing each evaluation item. The evaluation module 03 is also used to summarize all the results of the third review and generate an evaluation report on whether there is a winning bidder.

[0107] For details on the functions of each module and system in this embodiment, please refer to the functional descriptions of the corresponding modules and systems in the aforementioned embodiments. The only difference from the aforementioned embodiments is that this embodiment removes the AI ​​algorithm service system 6 and the process of scheduling the AI ​​algorithm service system 6 to review objective review items. Instead, all review items are regarded as subjective review items that require subjective review by the evaluation experts.

[0108] As an extension of the technical solution in this embodiment, such as Figure 4 As shown. It may also include the following modules and systems.

[0109] In some embodiments, The evaluation and review stage includes the preliminary evaluation stage and the detailed evaluation stage. The evaluation items include the evaluation items corresponding to the bidding requirements in the preliminary evaluation and the evaluation items corresponding to the bidding requirements in the detailed evaluation. The evaluation module 03 includes: The preliminary evaluation unit 031 is used in conjunction with the bid evaluation control module 01 and the expert management system 4 to complete the preliminary evaluation of the evaluation items corresponding to the preliminary evaluation bidding requirements, and based on the preliminary evaluation results, generate the preliminary evaluation results of whether there are qualified candidate bidders, and terminate the bid evaluation process when the number of qualified candidate bidders is less than 2. The detailed evaluation unit 032 is used in conjunction with the bid evaluation control module 01 and the expert management system 4 to complete the detailed evaluation of the evaluation items corresponding to the detailed evaluation bidding requirements, and generate a detailed evaluation result based on the detailed evaluation results to determine whether there is a winning bidder; wherein, the evaluation items corresponding to the detailed evaluation bidding requirements are the evaluation items corresponding to the detailed evaluation bidding requirements of the bid documents of qualified candidate bidders in the preliminary evaluation results, and at the same time, the number of qualified candidate bidders in the preliminary evaluation results is greater than or equal to 2; Evaluation report unit 033 is used to generate an evaluation report with no successful bidder when the number of qualified candidate bidders in the preliminary evaluation results is less than 2; and to generate an evaluation report on whether there is a successful bidder for the detailed evaluation results.

[0110] In some embodiments, during the initial evaluation phase: The overall control module 01 for bid evaluation is used to call the expert management system 4 to extract multiple preliminary bid evaluation experts from the expert database and send the information of the multiple preliminary bid evaluation experts and the review items corresponding to the preliminary bid evaluation requirements of each bid document to the preliminary evaluation unit 031. Preliminary evaluation unit 031 is used to generate a third preliminary evaluation task sheet for each preliminary evaluation expert. Each third preliminary evaluation task sheet includes multiple review items corresponding to the preliminary evaluation bidding requirements. The third preliminary evaluation task sheet is distributed to the account system of the corresponding preliminary evaluation expert on the distributed review system 0 so that the preliminary evaluation expert can review each review item in the third preliminary evaluation task sheet and submit the third preliminary review result. The third preliminary review result is the preliminary review result that belongs to the preliminary evaluation stage among all the third review results.

[0111] In some embodiments, during the detailed evaluation phase: The overall bid evaluation control module 01 is used to call the expert management system 4 to extract multiple detailed bid evaluation experts from the expert database, and send the information of the multiple detailed bid evaluation experts and the review items corresponding to the detailed bid evaluation requirements of each qualified candidate bidder in the preliminary bid evaluation results to the detailed bid evaluation unit 032. Detailed evaluation unit 032 is used to generate a third detailed evaluation task sheet for each detailed evaluation expert. Each third detailed evaluation task sheet includes multiple review items corresponding to the detailed evaluation bidding requirements of each qualified candidate bidder in the preliminary evaluation results. The third detailed evaluation task sheet is distributed to the account system of the corresponding detailed evaluation expert on the distributed review system 0 so that the detailed evaluation expert can review each review item in the third detailed evaluation task sheet and submit the third detailed review result. The third detailed review result is the detailed review result that belongs to the detailed evaluation stage among all the third review results.

[0112] It should be noted that in this embodiment, the functions, processing procedures, and principles of the expert management system 4 in the bid evaluation and review stage, including the preliminary evaluation stage and the detailed evaluation stage, are similar to those described in the aforementioned embodiments. The only difference is that when processing relevant data, subjective review items and objective review items are not distinguished; they are all collectively referred to as "review items" and processed by the bid evaluation experts selected from the expert management system 4. Therefore, to differentiate between the two schemes, the only change is in the terminology of the "review items" and their related data. Specifically, the "first" at the beginning of the original name is changed to "third," for example, "first bid evaluation task sheet" becomes "third bid evaluation task sheet," and "first review result" becomes "third review result," etc. These changes will not be elaborated upon here. Those skilled in the art can understand that the functional modules and systems in this embodiment can all reference the technical principles of the functional modules and systems with the same names in the aforementioned embodiments.

[0113] Similarly, in this embodiment, based on the content of the above embodiments, the supplier management system 3, Falcon system 9, bidding system 1, bid opening system 2, electronic signature system 8, E-Bid system 10, bid clearing tool 5 and labor cost settlement system 7 can be added.

[0114] This embodiment is a variation of the intelligent remote distributed bidding system in the aforementioned embodiments. It removes the AI ​​algorithm service system 6 and instead has all review items reviewed by review experts without distinction. This can effectively reduce the cost of developing an additional AI algorithm service system 6, thereby reducing the overall construction cost of the intelligent remote distributed bidding system.

[0115] Example 5 This embodiment provides an intelligent remote, distributed bidding evaluation method, which can be executed through the intelligent remote, distributed bidding evaluation system provided in Embodiment 1 above, and includes the following steps: During the bid evaluation preparation stage: For the received tender documents and multiple tender documents, generate multiple review items for the tender documents. These review items are divided into subjective review items that require subjective review by the evaluation experts and objective review items that require objective quantitative review. During the bid evaluation and review stage: Multiple evaluation experts are selected from the expert database, and the evaluation tasks corresponding to the subjective review items are distributed to the evaluation experts' account systems for evaluation experts to conduct reviews. AI algorithms are used to review the evaluation tasks corresponding to objective review items; All review results are summarized to generate a bid evaluation report indicating whether a successful bidder exists.

[0116] Specifically, such as Figure 5 The diagram shows a detailed explanation of the above-mentioned intelligent remote distributed bidding method. The content executed in the bidding preparation stage can be specifically step 110, and the content executed in the bidding review stage can be specifically steps 120 to 140.

[0117] Step 110: For the received tender documents and multiple bid documents, extract the hidden tender requirements and their evaluation criteria from the tender documents, extract the bid responses that hide the bidder information corresponding to each tender requirement from each bid document, and for each bid document, encapsulate the corresponding tender requirements, evaluation criteria and bid responses to generate multiple evaluation items for the bid document. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by the evaluation experts and objective evaluation items that require objective quantitative evaluation.

[0118] Step 120: Select multiple evaluation experts from the expert database and generate a first evaluation task sheet for each evaluation expert. The first evaluation task sheet includes multiple subjective review items. Distribute the first evaluation task sheet to the account system of the corresponding evaluation expert so that the evaluation expert can submit the first review result after reviewing each subjective review item.

[0119] Step 130: Generate a second evaluation task sheet, which includes multiple objective evaluation items. After the AI ​​algorithm has evaluated each objective evaluation item, submit the second evaluation result.

[0120] Step 140: Summarize all first and second review results to generate a bid evaluation report on whether a successful bidder exists.

[0121] In some embodiments, the above-mentioned bid evaluation and review stage includes a preliminary evaluation stage and a detailed evaluation stage in sequence, and the evaluation items include the evaluation items corresponding to the preliminary evaluation bidding requirements and the evaluation items corresponding to the detailed evaluation bidding requirements. Accordingly, in the preliminary evaluation stage, steps 120 and 130 can be used to perform a preliminary review of the review items corresponding to the preliminary evaluation bidding requirements, and based on the preliminary review results, generate a preliminary evaluation result indicating whether there are qualified candidate bidders. If the number of qualified candidate bidders is less than 2, the evaluation process is terminated. Similarly, in the detailed evaluation stage, steps 120 and 130 can be used to perform a detailed review of the review items corresponding to the detailed evaluation bidding requirements, and based on the detailed review results, generate a detailed evaluation result indicating whether there is a winning bidder. Here, the review items corresponding to the detailed evaluation bidding requirements are the review items corresponding to the detailed evaluation bidding requirements of the bid documents of the qualified candidate bidders in the preliminary evaluation results, and simultaneously satisfy the condition that the number of qualified candidate bidders in the preliminary evaluation results is greater than or equal to 2. Finally, if the number of qualified bidders in the preliminary evaluation results is less than 2, an evaluation report with no successful bidder will be generated; and for the detailed evaluation results, an evaluation report on whether a successful bidder exists will be generated.

[0122] In some embodiments, the above method includes: in the initial evaluation stage: Multiple preliminary evaluation experts are selected from the expert database. Based on the information of the multiple preliminary evaluation experts and the review items corresponding to the preliminary evaluation bidding requirements of each bid document, a first preliminary evaluation task sheet is generated for each preliminary evaluation expert. Each first preliminary evaluation task sheet includes multiple subjective review items corresponding to the preliminary evaluation bidding requirements. The first preliminary evaluation task sheet is distributed to the account system of the corresponding preliminary evaluation expert so that the preliminary evaluation expert can review each subjective review item in the first preliminary evaluation task sheet and submit the first preliminary review result. The first preliminary review result is the preliminary review result that belongs to the preliminary evaluation stage among all the first review results.

[0123] In some embodiments, the above method includes: in the initial evaluation stage: A second preliminary evaluation task sheet is generated. Each second preliminary evaluation task sheet includes multiple objective evaluation items corresponding to the preliminary evaluation bidding requirements. After the objective evaluation items in the second preliminary evaluation task sheet are evaluated by AI algorithm, the second preliminary evaluation result is submitted. The second preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the second evaluation results.

[0124] In some embodiments, the above method includes: during the detailed evaluation phase: Multiple detailed evaluation experts are selected from the expert database. Based on the information of these experts and the review items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results, a first detailed evaluation task sheet is generated for each expert. Each first detailed evaluation task sheet includes multiple subjective review items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results. The first detailed evaluation task sheets are then distributed to the account systems of the corresponding experts so that they can review each subjective review item in the first detailed evaluation task sheet and submit a first detailed review result. The first detailed review result is the detailed review result that belongs to the detailed evaluation stage among all the first review results.

[0125] In some embodiments, the above method includes: during the detailed evaluation phase: A second detailed evaluation task sheet is generated. Each second detailed evaluation task sheet includes multiple objective review items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results. After the objective review items in the second detailed evaluation task sheet are reviewed by AI algorithm, the second detailed review result is submitted. The second detailed review result is the detailed review result that belongs to the detailed evaluation stage among all the second review results.

[0126] In some embodiments, the above method further includes: For the information of bidders in the received bid documents, a credit warning will be issued and the status of credit defaults will be checked. If the bidder has engaged in credit default behavior and / or has been subject to credit default measures, the bid documents of the bidder will be rejected and the generation of evaluation items for the bid documents will not be carried out.

[0127] In some embodiments, the above method further includes: The encrypted bid documents submitted by the bidders are decrypted, and the information in the decrypted bid documents is extracted to obtain the bidder information. In some embodiments, the above method further includes: The evaluation experts submit the first evaluation results electronically, and the evaluation report automatically generates the electronic signatures of the evaluation experts.

[0128] In some embodiments, the above method further includes: A communication platform is provided to enable the evaluation experts to communicate with each other online during the evaluation period.

[0129] In some embodiments, the above method further includes: If the evaluation and review process is terminated at the end of the preliminary evaluation stage, the bid prices will be cleared and a clearing report will be received.

[0130] In some embodiments, the above method further includes: After the evaluation and review process is completed, the workload of each evaluation expert is calculated, and labor fees are calculated and distributed based on the workload.

[0131] For the specific implementation process of the additional method steps in this embodiment, please refer to the aforementioned Embodiments 2 and 3 (corresponding appendices). Figure 2 The relevant content in () will not be elaborated here.

[0132] Example 6 This embodiment provides another intelligent remote distributed bidding evaluation method, which can be executed through the intelligent remote distributed bidding evaluation system provided in the aforementioned embodiment four, and includes the following steps: During the bid evaluation preparation stage: For the received tender documents and multiple tender documents, generate multiple review items for the tender documents; During the bid evaluation and review stage: Multiple evaluation experts are selected from the expert database, and the evaluation tasks corresponding to the evaluation items are distributed to the account systems of the evaluation experts for them to conduct evaluations. All review results are summarized to generate a bid evaluation report indicating whether a successful bidder exists.

[0133] Specifically, such as Figure 6 The figure shows a detailed explanation of the above-mentioned intelligent remote distributed bidding method. The content executed in the bidding preparation stage may specifically include step 210, and the content executed in the bidding review stage may specifically include steps 220 to 230.

[0134] Step 210: For the received tender documents and multiple bid documents, extract the hidden tender requirements and their evaluation criteria from the tender documents, extract the bid responses that hide the bidder information corresponding to each tender requirement from each bid document, and encapsulate the corresponding tender requirements, evaluation criteria and bid responses for each bid document to generate multiple evaluation items for the bid document.

[0135] Step 220: Select multiple evaluation experts from the expert database and generate a third evaluation task sheet for each evaluation expert. The third evaluation task sheet includes multiple review items. Distribute the third evaluation task sheet to the account system of the corresponding evaluation expert so that the evaluation expert can submit the third review result after reviewing each review item.

[0136] Step 230: Summarize all third-party review results and generate a bid evaluation report to determine whether a successful bidder exists.

[0137] In some embodiments, the above-mentioned bid evaluation and review stage includes a preliminary evaluation stage and a detailed evaluation stage in sequence, and the evaluation items include the evaluation items corresponding to the preliminary evaluation bidding requirements and the evaluation items corresponding to the detailed evaluation bidding requirements. Accordingly, in the preliminary evaluation stage, the process of step 220 can be adopted to perform a preliminary review of the review items corresponding to the preliminary evaluation bidding requirements, and based on the preliminary review results, generate a preliminary evaluation result indicating whether there are qualified candidate bidders. If the number of qualified candidate bidders is less than 2, the evaluation process is terminated. Similarly, in the detailed evaluation stage, the process of step 220 can be adopted to perform a detailed review of the review items corresponding to the detailed evaluation bidding requirements, and based on the detailed review results, generate a detailed evaluation result indicating whether there is a winning bidder. Here, the review items corresponding to the detailed evaluation bidding requirements are the review items corresponding to the detailed evaluation bidding requirements of the bid documents of qualified candidate bidders in the preliminary evaluation results, and simultaneously satisfy the condition that the number of qualified candidate bidders in the preliminary evaluation results is greater than or equal to 2. Finally, if the number of qualified bidders in the preliminary evaluation results is less than 2, an evaluation report with no successful bidder will be generated; and for the detailed evaluation results, an evaluation report on whether a successful bidder exists will be generated.

[0138] In some embodiments, the above method includes: in the initial evaluation stage: Multiple preliminary evaluation experts are selected from the expert database. Based on the information of the multiple preliminary evaluation experts and the review items corresponding to the preliminary evaluation bidding requirements of each bid document, a third preliminary evaluation task sheet is generated for each preliminary evaluation expert. Each third preliminary evaluation task sheet includes multiple review items corresponding to the preliminary evaluation bidding requirements. The third preliminary evaluation task sheet is distributed to the account system of the corresponding preliminary evaluation expert so that the preliminary evaluation expert can review each review item in the third preliminary evaluation task sheet and submit the third preliminary review result. The third preliminary review result is the preliminary review result that belongs to the preliminary evaluation stage among all the third review results.

[0139] In some embodiments, the above method includes: during the detailed evaluation phase: Multiple detailed evaluation experts are selected from the expert database. Based on the information of these experts and the review items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results, a third detailed evaluation task sheet is generated for each expert. Each third detailed evaluation task sheet includes multiple review items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results. The third detailed evaluation task sheets are then distributed to the account systems of the corresponding experts so that they can review each review item in the third detailed evaluation task sheet and submit the third detailed review result. The third detailed review result is the detailed review result that belongs to the detailed evaluation stage among all the third review results.

[0140] In some embodiments, the above method further includes: For the information of bidders in the received bid documents, a credit warning will be issued and the status of credit defaults will be checked. If the bidder has engaged in credit default behavior and / or has been subject to credit default measures, the bid documents of the bidder will be rejected and the generation of evaluation items for the bid documents will not be carried out.

[0141] In some embodiments, the above method further includes: The encrypted bid documents submitted by the bidders are decrypted, and the information in the decrypted bid documents is extracted to obtain the bidder information. In some embodiments, the above method further includes: The evaluation experts submit the first evaluation results electronically, and the evaluation report automatically generates the electronic signatures of the evaluation experts.

[0142] In some embodiments, the above method further includes: A communication platform is provided to enable the evaluation experts to communicate with each other online during the evaluation period.

[0143] In some embodiments, the above method further includes: If the evaluation and review process is terminated at the end of the preliminary evaluation stage, the bid prices will be cleared and a clearing report will be received.

[0144] In some embodiments, the above method further includes: After the evaluation and review process is completed, the workload of each evaluation expert is calculated, and labor fees are calculated and distributed based on the workload.

[0145] For the specific implementation process of the additional method steps in this embodiment, please refer to the aforementioned embodiment four (corresponding appendix). Figure 4 The relevant content in () will not be elaborated here.

[0146] Example 7 This embodiment provides another intelligent remote, distributed bidding evaluation method, which can be achieved through methods such as... Figure 2 The intelligent remote distributed bidding system shown has been completed, representing a full-process method in a real-world application scenario. For example... Figure 7 As shown, the intelligent remote distributed bidding method includes the following steps.

[0147] Step 11: Receive Bidding Documents. After the bid opening, the bid opening system 2 will push the successfully decrypted bidding documents received from the bidders to the distributed review system 0.

[0148] Step 12: Conduct a credit detection for bidders. Distributed review system 0 calls the service of bidding system 1 to obtain bidding information (including bidder information) from the bid documents; based on the bidder information, it calls Falcon system 9 to issue a credit warning for the bidder, and at the same time calls supplier management system 3 to check the bidder's credit handling status; if it finds that the bidder has engaged in credit misconduct and / or has been subject to credit handling, the bidder's bid documents are rejected and the bidder will not be allowed to enter the subsequent bid evaluation and review stage.

[0149] Step 13: Generate Review Items. The distributed review system 0 parses the unrejected bids, encapsulating each bidding requirement and its review criteria, along with the bid responses containing hidden bidder information, into a review item. Review items are divided into two categories: qualified and scored. Qualified items assess whether the bid response meets the bidding requirements and are primarily used for preliminary review. Score-based items assign a score based on the degree to which the bid response meets the bidding requirements and are primarily used for detailed review. Furthermore, all review items that can be reviewed by the AI ​​algorithm (objective review items) are subsequently automatically reviewed by the AI ​​algorithm service system 6; the remaining review items (subjective review items) are submitted to review experts for evaluation.

[0150] Step 14: Select preliminary evaluation experts. The distributed review system 0 calls the expert management system 4 to select preliminary evaluation experts from the expert database.

[0151] Step 15: Generate the preliminary evaluation task sheet. The distributed review system 0 creates a preliminary evaluation task sheet for each preliminary evaluation expert. Each preliminary evaluation task sheet contains only all the evaluation items corresponding to a specific preliminary bidding requirement. The evaluation items seen by the preliminary evaluation experts have the bidder information hidden and are randomly arranged.

[0152] Step 16: Preliminary Evaluation. Preliminary evaluation experts log into the distributed review system 0 via liveness authentication, complete their assigned review tasks based on work experience and professional capabilities, and submit the review results after electronically signing them through the electronic signature system 8. All review data is transmitted encrypted using the HTTPS protocol. Experts can communicate online via E-recruitment 10 for discussions.

[0153] Step 17: Generate preliminary review results. For subjective review items, after all review items corresponding to a preliminary review tender requirement have been reviewed by three or more odd-numbered preliminary review experts, the distributed review system 0 will determine the final review result for each bidder for that preliminary review tender requirement according to the principle of majority rule. At the same time, for objective review items, the AI ​​algorithm service system 6 will automatically review and determine the final review result for each bidder for that preliminary review tender requirement.

[0154] Step 18: Generate preliminary bid evaluation results. After all preliminary evaluation tasks are completed, the distributed review system 0 checks whether the bids that were not rejected meet the detailed evaluation criteria. If two or more bidders remain after the preliminary evaluation, the detailed evaluation continues; otherwise, a bid evaluation report with no successful bidder is issued directly. If bid clearing is required, the distributed review system 0 will call the bid clearing tool 5 to clear the bid prices and receive the bid clearing report.

[0155] Step 19: Select detailed evaluation experts. The distributed review system 0 calls the expert management system 4 to select detailed evaluation experts from the expert database.

[0156] Step 20: Generate Detailed Bid Evaluation Task Sheet. The distributed review system 0 creates a detailed bid evaluation task sheet for each detailed bid evaluation expert. Each detailed bid evaluation task sheet contains only all evaluation items corresponding to a specific detailed bid evaluation requirement. The evaluation items seen by the detailed bid evaluation experts have the bidder information hidden and are randomly arranged.

[0157] Step 21: Detailed Evaluation. Experts conduct detailed evaluations by logging into the distributed review system 0 using liveness authentication. Based on their work experience and professional capabilities, they complete their assigned review tasks and submit the results after electronically signing them through the electronic signature system 8. All review data is transmitted encrypted using the HTTPS protocol. Experts can communicate online via E-recruitment 10 for discussions.

[0158] Step 22: Generate detailed review results. For subjective review items, once all review items corresponding to a detailed review tender requirement have been reviewed by three or more odd-numbered detailed review experts, the distributed review system 0 will determine the final review result for each bidder for that detailed review tender requirement according to the principle of majority rule. At the same time, for objective review items, the AI ​​algorithm of the AI ​​algorithm service system 6 will automatically review and determine the final review result for each bidder for that detailed review tender requirement.

[0159] Step 23: Generate the bid evaluation report. After all business and technical evaluations are completed, the distributed evaluation system 0 automatically calculates the price score for each bidder. When only two bidders remain, the distributed evaluation system 0 automatically determines whether there is competition. If there is competition, it automatically generates a bid evaluation report recommending the winning candidate; otherwise, it generates a bid evaluation report with no winning bidder. Then, the electronic signature system 8 is called to electronically sign the bid evaluation report.

[0160] Step 24: Settle expert fees. Distributed review system 0 pushes the evaluation results to bidding system 1 to continue the bidding process; at the same time, it pushes the review records of each evaluation expert to the fee settlement system 7 to calculate and distribute fees.

[0161] Example 8 Another embodiment of this application relates to an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above method steps.

[0162] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it to the processor.

[0163] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0164] The processor may include, but is not limited to, one or more processors or microprocessors. Each processor may be implemented as an Application Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), controller, microcontroller, microprocessor, or other electronic component, for executing the methods in the above embodiments.

[0165] Example 9 Another embodiment of this application relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the above-described method steps.

[0166] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0167] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. An intelligent remote distributed bidding system, characterized in that, include: Distributed review system, expert management system and AI algorithm service system; During the bid evaluation preparation stage: The distributed review system is used to generate multiple review items for the received tender documents and multiple tender documents. The multiple review items are divided into subjective review items that require subjective review by the bid evaluation experts and objective review items that require objective quantitative review. During the bid evaluation and review stage: The distributed review system is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and distribute the bid evaluation tasks corresponding to the subjective review items to the bid evaluation experts' account systems on the distributed review system for the bid evaluation experts to conduct reviews; distribute the bid evaluation tasks corresponding to the objective review items to the AI ​​algorithm service system for reviews; and summarize all review results to generate a bid evaluation report on whether there is a winning bidder.

2. The intelligent remote distributed bidding system according to claim 1, characterized in that, The distributed review system includes a bid evaluation control module, a document parsing module, and a bid evaluation module; During the bid evaluation preparation stage: The overall bid evaluation control module is used to extract the hidden bidding requirements and their evaluation criteria from the bidding documents and multiple bid documents received by calling the document parsing module. It extracts the bid response corresponding to each bidding requirement with hidden bidder information from each bid document. For each bid document, it encapsulates the corresponding bidding requirements, evaluation criteria and bid response to generate multiple evaluation items for the bid document. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by bid evaluation experts and objective evaluation items that require objective quantitative evaluation. During the bid evaluation and review stage: The overall bid evaluation control module is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and send the information of the multiple bid evaluation experts and the evaluation items of each bid document to the bid evaluation module; The bid evaluation module is used to generate a first bid evaluation task sheet for each bid evaluation expert. The first bid evaluation task sheet includes multiple subjective review items. The first bid evaluation task sheet is distributed to the corresponding bid evaluation expert's account system on the distributed review system so that the bid evaluation expert can submit the first review result after reviewing each subjective review item. The evaluation module is also used to generate a second evaluation task sheet for the AI ​​algorithm service system. The second evaluation task sheet includes multiple objective evaluation items. The second evaluation task sheet is sent to the AI ​​algorithm service system so that the AI ​​algorithm service system can submit the second evaluation result after reviewing each objective evaluation item. The bid evaluation module is also used to summarize all the first review results and the second review results to generate a bid evaluation report on whether there is a winning bidder.

3. The intelligent remote distributed bidding system according to claim 2, characterized in that, The evaluation and review stage includes a preliminary evaluation stage and a detailed evaluation stage, and the evaluation items include the evaluation items corresponding to the bidding requirements in the preliminary evaluation and the evaluation items corresponding to the bidding requirements in the detailed evaluation. The evaluation module includes: The preliminary evaluation unit is used to work with the overall bid evaluation control module, the expert management system and the AI ​​algorithm service system to complete the preliminary evaluation of the evaluation items corresponding to the preliminary evaluation bidding requirements, and based on the preliminary evaluation results, generate the preliminary bid evaluation results to determine whether there are qualified candidate bidders, and terminate the bid evaluation process when the number of qualified candidate bidders is less than 2. The detailed evaluation unit is used to work with the overall bid evaluation control module, the expert management system, and the AI ​​algorithm service system to complete the detailed evaluation of the evaluation items corresponding to the detailed bid evaluation requirements, and generate a detailed bid evaluation result based on the detailed evaluation results to determine whether there is a winning bidder. The evaluation items corresponding to the detailed bid evaluation requirements are the evaluation items corresponding to the detailed bid evaluation requirements of the bid documents of qualified candidate bidders in the preliminary bid evaluation results, and simultaneously satisfy the condition that the number of qualified candidate bidders in the preliminary bid evaluation results is greater than or equal to two. The bid evaluation report unit is used to generate a bid evaluation report with no successful bidder when the number of qualified candidate bidders in the preliminary bid evaluation results is less than 2; and to generate a bid evaluation report on whether there is a successful bidder for the detailed bid evaluation results.

4. The intelligent remote distributed bidding system according to claim 3, characterized in that, In the initial evaluation stage: The overall control module for bid evaluation is used to call the expert management system to extract multiple preliminary bid evaluation experts from the expert database, and send the information of the multiple preliminary bid evaluation experts and the review items corresponding to the preliminary bid evaluation requirements of each bid document to the preliminary evaluation unit. The preliminary evaluation unit is used to generate a first preliminary evaluation task sheet for each preliminary evaluation expert. Each first preliminary evaluation task sheet includes multiple subjective review items corresponding to the preliminary evaluation bidding requirements. The first preliminary evaluation task sheet is distributed to the account system of the corresponding preliminary evaluation expert in the distributed evaluation system so that the preliminary evaluation expert can review each subjective review item in the first preliminary evaluation task sheet and submit the first preliminary evaluation result. The first preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the first evaluation results.

5. The intelligent remote distributed bidding system according to claim 4, characterized in that, In the initial evaluation stage: The preliminary evaluation unit is used to generate a second preliminary evaluation task sheet for the AI ​​algorithm service system. Each second preliminary evaluation task sheet includes multiple objective review items corresponding to the preliminary evaluation bidding requirements. The second preliminary evaluation task sheet is sent to the AI ​​algorithm service system so that the AI ​​algorithm service system can submit the second preliminary evaluation result after reviewing each objective review item in the second preliminary evaluation task sheet. The second preliminary evaluation result is the preliminary evaluation result that belongs to the preliminary evaluation stage among all the second evaluation results.

6. The intelligent remote distributed bidding system according to claim 3, characterized in that, During the detailed review phase: The overall bid evaluation control module is used to call the expert management system to extract multiple detailed bid evaluation experts from the expert database, and send the information of the multiple detailed bid evaluation experts and the review items corresponding to the detailed bid evaluation requirements of the bid documents of each qualified candidate bidder in the preliminary bid evaluation results to the detailed evaluation unit. The detailed evaluation unit is used to generate a first detailed evaluation task sheet for each detailed evaluation expert. Each first detailed evaluation task sheet includes multiple subjective review items corresponding to the detailed evaluation bidding requirements of the tender documents of each qualified candidate bidder in the preliminary evaluation results. The first detailed evaluation task sheet is distributed to the account system of the corresponding detailed evaluation expert in the distributed evaluation system so that the detailed evaluation expert can review each subjective review item in the first detailed evaluation task sheet and submit the first detailed evaluation result. The first detailed evaluation result is the detailed evaluation result that belongs to the detailed evaluation stage among all the first evaluation results.

7. The intelligent remote distributed bidding system according to claim 6, characterized in that, During the detailed review phase: The detailed evaluation unit is used to generate a second detailed evaluation task sheet for the AI ​​algorithm service system. Each second detailed evaluation task sheet includes multiple objective evaluation items corresponding to the detailed evaluation bidding requirements of the bid documents of each qualified candidate bidder in the preliminary evaluation results. The second detailed evaluation task sheet is sent to the AI ​​algorithm service system so that the AI ​​algorithm service system can submit the second detailed evaluation result after reviewing each objective evaluation item in the second detailed evaluation task sheet. The second detailed evaluation result is the detailed evaluation result that belongs to the detailed evaluation stage among all the second evaluation results.

8. The intelligent remote distributed bidding system according to claim 2, characterized in that, Also includes: Supplier management system and Falcon system; The overall bid evaluation control module is also used to call the Falcon system to issue a credit warning based on the bidder information in the received bid documents, and to call the supplier management system to check the credit handling status. If the bidder has a credit violation and / or has been dealt with for credit violations, the bidder's bid documents will be rejected and the generation of evaluation items for the bid documents will not be performed.

9. The intelligent remote distributed bidding system according to claim 8, characterized in that, Also includes: Bidding system and bid opening system; The bidding system is used to decrypt the encrypted bid documents submitted by the bidders and push the decrypted bid documents to the bid evaluation control module. The bid evaluation control module is also used to call the bidding system to extract information from the bid documents received from the bid opening system, and obtain the bidder information in the bid documents; The evaluation report generated by the evaluation module is sent to the bidding system so that the bidding system can continue to execute the bidding process based on the evaluation report.

10. The intelligent remote distributed bidding system according to claim 2, characterized in that, Also includes: Electronic signature system; The overall control module for bid evaluation is also used to call the electronic signature system so that the bid evaluation experts can electronically sign the first review result submitted after review by the bid evaluation experts through the electronic signature system, and to call the electronic signature system to automatically generate the electronic signature of the bid evaluation experts in the bid evaluation report.

11. The intelligent remote distributed bidding system according to claim 2, characterized in that, Also includes: E-recruitment system; The overall control module for bid evaluation is also used to call the E-Bid Information System so that the bid evaluation experts can communicate with each other online during the review period through the E-Bid Information System.

12. The intelligent remote distributed bidding system according to claim 3, characterized in that, Also includes: Billing tools; The overall bid evaluation control module is also used to call the bid clearing tool so that, in the case where the bid evaluation process is terminated at the end of the preliminary evaluation stage, the bid price is cleared and a bid clearing report is received.

13. The intelligent remote distributed bidding system according to any one of claims 1-12, characterized in that, Also includes: Labor service fee settlement system; The overall control module for bid evaluation is also used to push the review records of each bid evaluation expert to the labor cost settlement system after the bid evaluation review process is completed, so that the labor cost settlement system can calculate the workload of each bid evaluation expert and calculate and distribute labor costs based on the workload.

14. An intelligent remote distributed bidding system, characterized in that, include: Distributed review system, expert management system; During the bid evaluation preparation stage: The distributed review system is used to generate multiple review items for the received tender documents and multiple tender documents. During the bid evaluation and review stage: The distributed review system is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and distribute the bid evaluation tasks corresponding to the review items to the bid evaluation experts' account systems on the distributed review system for the bid evaluation experts to conduct reviews; and summarize all review results to generate a bid evaluation report on whether there is a winning bidder.

15. The intelligent remote distributed bidding system according to claim 14, characterized in that, The distributed review system includes a bid evaluation control module, a document parsing module, and a bid evaluation module; During the bid evaluation preparation stage: The overall bid evaluation control module is used to extract the hidden bidding requirements and their evaluation criteria from the bidding documents and multiple bid documents received by calling the document parsing module. It also extracts the bid response with hidden bidder information corresponding to each bidding requirement from each bid document, and encapsulates the corresponding bidding requirements, evaluation criteria and bid response for each bid document to generate multiple evaluation items for the bid document. During the bid evaluation and review stage: The overall bid evaluation control module is used to call the expert management system to extract multiple bid evaluation experts from the expert database, and send the information of the multiple bid evaluation experts and the evaluation items of each bid document to the bid evaluation module; The bid evaluation module is used to generate a third bid evaluation task sheet for each bid evaluation expert. The third bid evaluation task sheet includes multiple review items. The third bid evaluation task sheet is distributed to the corresponding bid evaluation expert's account system on the distributed review system so that the bid evaluation expert can submit the third review result after reviewing each review item. The evaluation module is also used to summarize all the third review results and generate an evaluation report on whether there is a winning bidder.

16. A smart remote distributed bidding method, characterized in that, include: During the bid evaluation preparation stage: For the received tender documents and multiple tender documents, generate multiple evaluation items for the tender documents. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by the evaluation experts and objective evaluation items that require objective quantitative evaluation. During the bid evaluation and review stage: Multiple evaluation experts are selected from the expert database, and the evaluation tasks corresponding to the subjective review items are distributed to the account systems of the evaluation experts for them to conduct reviews. The evaluation tasks corresponding to the objective evaluation items are evaluated using AI algorithms; All review results are summarized to generate a bid evaluation report indicating whether a successful bidder exists.

17. The intelligent remote distributed bidding method according to claim 16, characterized in that, During the bid evaluation preparation phase, multiple evaluation items are generated for the received tender documents and multiple bid documents, including: For the received tender documents and multiple bid documents, the tender documents extract the hidden tender requirements and their evaluation criteria for the tender project. For each bid document, the bid response corresponding to each tender requirement with hidden bidder information is extracted. For each bid document, the corresponding tender requirements, evaluation criteria and bid response are encapsulated to generate multiple evaluation items for the bid document. The multiple evaluation items are divided into subjective evaluation items that require subjective evaluation by the evaluation experts and objective evaluation items that require objective quantitative evaluation. During the bid evaluation and review stage, multiple bid evaluation experts are selected from the expert database, and the bid evaluation tasks corresponding to the subjective review items are distributed to the account systems of the bid evaluation experts for review; the bid evaluation tasks corresponding to the objective review items are reviewed using AI algorithms; all review results are summarized to generate a bid evaluation report on whether a winning bidder exists, including: Multiple evaluation experts are selected from the expert database, and a first evaluation task sheet is generated for each evaluation expert. The first evaluation task sheet includes multiple subjective review items. The first evaluation task sheet is distributed to the account system of the corresponding evaluation expert so that the evaluation expert can submit the first review result after reviewing each subjective review item. A second evaluation task sheet is generated, which includes multiple objective evaluation items. After the evaluation of each objective evaluation item is completed using an AI algorithm, the second evaluation result is submitted. Summarize all the first review results and the second review results to generate a bid evaluation report on whether a successful bidder exists.

18. A smart remote distributed bidding method, characterized in that, include: During the bid evaluation preparation stage: For the received tender documents and multiple tender documents, generate multiple review items for the tender documents; During the bid evaluation and review stage: Multiple evaluation experts are selected from the expert database, and the evaluation tasks corresponding to the evaluation items are distributed to the account systems of the evaluation experts for them to conduct evaluations. All review results are summarized to generate a bid evaluation report indicating whether a successful bidder exists.

19. The intelligent remote distributed bidding method according to claim 18, characterized in that, During the bid evaluation preparation phase, multiple evaluation items are generated for the received tender documents and multiple bid documents, including: For the received tender documents and multiple bid documents, extract the various tender requirements and their evaluation criteria for the hidden tender project from the tender documents, extract the bid responses corresponding to each tender requirement that hide the bidder information from each bid document, and encapsulate the corresponding tender requirements, evaluation criteria and bid responses for each bid document to generate multiple evaluation items for the bid document; During the bid evaluation and review stage, multiple bid evaluation experts are selected from the expert database, and the bid evaluation tasks corresponding to the evaluation items are distributed to the account systems of the bid evaluation experts for their review; all review results are summarized to generate a bid evaluation report on whether a winning bidder exists, including: Multiple evaluation experts are selected from the expert database, and a third evaluation task sheet is generated for each evaluation expert. The third evaluation task sheet includes multiple evaluation items. The third evaluation task sheet is distributed to the account system of the corresponding evaluation expert so that the evaluation expert can submit the third evaluation result after reviewing each evaluation item. Summarize all the third review results to generate a bid evaluation report on whether a successful bidder exists.

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