Auxiliary prompting method, device and equipment for bid evaluation and storage medium

Abstract

The invention provides an auxiliary prompting method and device for bid evaluation, equipment and a storage medium. The method comprises the following steps: in response to monitoring that a bidding scheme passes through a preliminary review process, inputting the bidding scheme into a pre-configured hybrid model, so that the hybrid model outputs multimedia data for describing the bidding scheme; and in response to monitoring that the bidding scheme enters the bidding process and that a bidder performs bidding is monitored, playing the multimedia data to perform auxiliary prompting on the bidder. According to the method provided by the invention, the bidding scheme information prompt is realized in the bidding process, so that the bidding effect of the bidder is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing, and more specifically, to an auxiliary prompt method, device, equipment and storage medium for bid evaluation. Background Art

[0002] At present, the bid evaluation of bidding projects relies more on written forms such as bidding documents and tender documents for information exchange and decision-making, which has certain limitations. Especially for some unconventional, non-standard, technically difficult, difficult to describe, subjective factors in the content, or the need to clarify the implementation plan and work ideas in advance, the textual bid evaluation work has the limitations of limited integrity and accuracy of the bidding document information, inability to display and feel intuitively, long time consumption and susceptibility to subjective factors. It is now advocated to set up a bid presentation process after the preliminary review and before the detailed review in the bid evaluation stage, that is, through the analysis and explanation of the bidder's understanding of the bidding project, demand response, work ideas and technical routes, implementation plan, resource investment, etc., and through the question-and-answer interaction between the bid evaluation experts and the bidders, the textual bid documents are presented to the bid evaluation experts in a vivid, intuitive and vivid way. Effectively assist the bid evaluation experts to complete the bid evaluation work accurately and efficiently. The intuitive and complete display of bidders and bid documents, direct communication and answering of questions and doubts, make up for the deficiencies or omissions of the textual bid documents, improve the efficiency and accuracy of bid evaluation, and reduce subjective judgments. However, since the current bidding process relies heavily on the bidders' oral statements, there is still the problem of too many subjective factors being involved in the bid evaluation results due to unclear oral expressions by the bidders or incomplete understanding by the tenderers.

[0003] Therefore, the present application provides an auxiliary prompt method, device, equipment and storage medium for bid evaluation to solve one of the above-mentioned technical problems. Summary of the invention

[0004] The purpose of this application is to provide a method, device, equipment and storage medium for assisting bid evaluation, which can solve at least one of the above-mentioned technical problems. The specific solution is as follows:

[0005] According to the specific implementation of the present application, in a first aspect, the present application provides an auxiliary prompt method for bid evaluation, comprising:

[0006] In response to monitoring that the bidding proposal passes the preliminary review process, the bidding proposal is input into a preconfigured hybrid model so that the hybrid model outputs multimedia data for describing the bidding proposal; wherein the hybrid model is composed of a transformer and a variational autoencoder VAEs, the transformer is used to convert the text data of the bidding proposal into voice data, and to perform text analysis on the bidding proposal, the variational autoencoder is used to generate images and simulate background sounds based on the results of the text analysis, and the hybrid model is used to output multimedia data including an audio stream and a video stream; wherein the audio stream is composed of the voice data and the background sound, and the video stream is composed of the image and subtitles obtained based on the text data; in response to monitoring that the bidding proposal enters the bidding process and the bidder is monitored to make a bid, the multimedia data is played to provide auxiliary prompts to the bidder.

[0007] In one embodiment, the method further includes: scoring the effectiveness of the bidding scheme and outputting a scoring result, wherein the scoring result includes one or a combination of the following: a matching score between the bidding scheme and the tender instructions; a feasibility score for implementing the bidding scheme; a cost-effectiveness score between the resource input of the bidding scheme and the feasibility score; and an implementation efficiency score including work ideas, technical routes and implementation cycles.

[0008] In one embodiment, the method further includes: in response to playing the multimedia data, synchronously displaying the scoring results to provide auxiliary prompts to the bid evaluation committee.

[0009] In one embodiment, the playing of the multimedia data includes: in response to monitoring the bid evaluation committee asking questions during the bid presentation process, performing a time frame search on the multimedia data according to the content of the questions to obtain at least one target time frame data, wherein the display content of the target time frame data matches the content of the questions; and playing the target time frame data of the multimedia data.

[0010] In one embodiment, the method further includes: in response to monitoring that the bid proposal passes the bidding process, sending the bid proposal to a bid proposal library of a detailed review process.

[0011] According to a specific implementation of the present application, in a second aspect, the present application provides an auxiliary prompt device for bid evaluation, including:

[0012] A processing unit, in response to monitoring that a bidding proposal has passed a preliminary review process, inputs the bidding proposal into a preconfigured hybrid model so that the hybrid model outputs multimedia data for describing the bidding proposal; wherein the hybrid model is composed of a transformer and a variational autoencoder VAEs, the transformer is used to convert the text data of the bidding proposal into voice data, and to perform text analysis on the bidding proposal, the variational autoencoder is used to generate images and simulate background sounds based on the results of the text analysis, and the hybrid model is used to output multimedia data including an audio stream and a video stream; wherein the audio stream is composed of the voice data and the background sounds, and the video stream is composed of the image and subtitles obtained based on the text data; a playback unit, in response to monitoring that the bidding proposal has entered a bidding process and that a bidder is performing bidding, plays the multimedia data to provide auxiliary prompts to the bidder.

[0013] In one embodiment, the processing unit is also used to: score the effectiveness of the bidding scheme and output the scoring results, wherein the scoring results include one or a combination of the following: a matching score between the bidding scheme and the tender instructions; a feasibility score for implementing the bidding scheme; a cost-effectiveness score between the resource input of the bidding scheme and the feasibility score; and an implementation efficiency score including work ideas, technical routes and implementation cycles.

[0014] In one embodiment, the playback unit is further used to: in response to playing the multimedia data, synchronously display the scoring results to provide auxiliary prompts to the bid evaluation committee.

[0015] According to the specific implementation of the present application, in a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that the processor executes the computer program to implement any one of the methods described in the first aspect.

[0016] According to the specific implementation of the present application, in a fourth aspect, the present application provides a computer-readable storage medium having a computer program / instruction stored thereon, characterized in that when the computer program / instruction is executed by a processor, the method described in any one of the first aspects is implemented.

[0017] Compared with the prior art, the above-mentioned scheme of the embodiment of the present application has at least the following beneficial effects: when it is detected that the bidding scheme has passed the preliminary review, the scheme is input into a preconfigured hybrid model composed of a transformer (Transformer) and a variational autoencoder (VAEs) to generate multimedia data including an audio stream and a video stream, wherein the audio stream includes voice data and background sound, and the video stream includes images and subtitles generated based on text data; when it is detected that the bidding scheme enters the bidding process and the bidder is presenting the bid, these multimedia data are played to assist the bidder in presenting the bid, thereby providing the evaluation experts with a more three-dimensional description of the bidding scheme, helping them to make more scientific and reasonable decisions, and thereby improving the problem of subjective factors affecting the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A flow chart of an auxiliary prompt method for bid evaluation is shown;

[0019] Figure 2 A flowchart of another auxiliary prompt method for bid evaluation is shown;

[0020] Figure 3 A flowchart of another auxiliary prompt method for bid evaluation is shown;

[0021] Figure 4 A flowchart of another auxiliary prompt method for bid evaluation is shown;

[0022] Figure 5 A schematic diagram of a bid evaluation process is shown;

[0023] Figure 6 A unit block diagram of an auxiliary prompt device for bid evaluation according to an embodiment of the present application is shown;

[0024] Figure 7 The present invention is a block diagram of an electronic device for providing auxiliary prompts for bid evaluation according to an exemplary embodiment. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0026] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two.

[0027] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0028] It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0029] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0030] It should also be noted that the term "includes", "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, so that a commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the commodity or device including the elements.

[0031] It should be particularly noted that any symbols and / or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

[0032] At present, the bid evaluation work of bidding projects relies more on written forms such as bidding documents and tender documents for information exchange and decision-making, which has certain limitations. In particular, for some unconventional, non-standard, technically difficult, difficult to describe requirements, with many subjective factors in the content, or bidding projects that need to clarify implementation plans and work ideas in advance, the text-based bid evaluation work has the limitations of limited integrity and accuracy of bidding document information, inability to display and feel intuitively, time-consuming and susceptible to subjective factors.

[0033] It is now advocated to set up a bid presentation process after the preliminary review and before the detailed review in the bid evaluation stage, that is, through the analysis and explanation of the bidder's understanding of the bidding project, demand response, work ideas and technical routes, implementation plans, resource investment, etc., and through the question-and-answer interaction between the bid evaluation experts and the bidders, the textual bid documents are presented to the bid evaluation experts in a vivid, intuitive and vivid way. Effectively assist the bid evaluation experts to complete the bid evaluation work accurately and efficiently. The intuitive and complete display of bidders and bid documents, direct communication and answering of questions can make up for the deficiencies or omissions of the textual bid documents, improve the efficiency and accuracy of bid evaluation, and reduce subjective judgments. However, since the current bid presentation process relies more on the bidder's oral presentation, there is still a problem that too many subjective factors are involved in the bid evaluation results due to unclear oral expressions of bidders or incomplete understanding of the tenderer.

[0034] In view of this, this application considers further converting the bidding proposal into multimedia data on this basis, so as to display it synchronously during the bidder's bidding process, so as to improve the bidding effect.

[0035] The optional embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0036] The embodiment provided in this application is an embodiment of an auxiliary prompt method for bid evaluation.

[0037] Combine the following Figure 1 The embodiments of the present application are described in detail.

[0038] Figure 1 A flowchart of an auxiliary prompt method for bid evaluation is shown, such as Figure 1 As shown, the process includes the following steps S101 and S102.

[0039] Step S101 , in response to monitoring that a bidding proposal has passed a preliminary review process, inputting the bidding proposal into a preconfigured hybrid model, so that the hybrid model outputs multimedia data for describing the bidding proposal.

[0040] The hybrid model consists of a transformer and a variational autoencoder (VAEs). The transformer is used to convert the text data of the bidding proposal into voice data and to perform text analysis on the bidding proposal. The variational autoencoder is used to generate images and simulate background sounds based on the results of text analysis. The hybrid model is used to output multimedia data including audio and video streams. The audio stream consists of voice data and background sounds, and the video stream consists of images and subtitles based on text data.

[0041] Step S102, in response to monitoring that the bidding scheme enters the bidding process and monitoring that the bidder is presenting the bid, multimedia data is played to assist the bidder.

[0042] The auxiliary prompt method for bid evaluation provided in this application provides bidders with more intuitive and rich information prompts by converting the bidding proposal into multimedia data and playing the multimedia data during the bidding process, thereby improving the bidding effect. This method not only enhances the effectiveness of information transmission, but also helps bidders better demonstrate their own advantages, thereby improving the accuracy and efficiency of bid evaluation. In addition, through the hybrid model composed of Transformer and Variational Autoencoder VAEs, multi-dimensional conversion from text to speech, image and even video is realized.

[0043] Based on this application, voice recognition technology can be introduced to allow bid evaluation experts to ask questions through voice, automatically identify questions and convert them into text, and then search for the most relevant multimedia data segments through the hybrid model for playback. This can further improve the interactivity of the bid presentation process and enable bid evaluation experts to obtain the required detailed information in real time.

[0044] In addition to playing multimedia data, this application can also display the effectiveness rating of the bidding scheme in real time during the bidding process. The rating content includes but is not limited to the matching degree between the bidding scheme and the bidding instructions, implementation feasibility, cost-effectiveness of resource investment, and implementation efficiency. Through visual rating, bid evaluation experts can more intuitively understand the advantages and disadvantages of the bidding scheme and assist in bid evaluation decision-making.

[0045] In some feasible embodiments, the present application may also score the bidding schemes and output the scoring results. The scoring results include one or a combination of the following:

[0046] 1. Score of the matching degree between the bidding proposal and the bidding instructions.

[0047] 2. Feasibility assessment of the implementation of the bidding plan.

[0048] 3. The cost-effectiveness score between the resource input and feasibility score of the bidding proposal.

[0049] 4. Implementation efficiency score including work ideas, technical routes and implementation cycle.

[0050] In one embodiment, the key information in the bid document and the requirements of the tender document can be compared by natural language processing (NLP) technology, and the similarity score between the two can be calculated as a matching score. For example, the cosine similarity algorithm can be used to extract the keywords in the bid document and compare them with the key points required by the tender document to obtain a matching score.

[0051] In one embodiment, the feasibility score is used to evaluate whether the technical details, required resources, time arrangement, etc. in the bidding plan are reasonable. For example, a machine learning model can be used to train an evaluation system, which can predict the possibility of actual execution based on the specific content of the bidding plan and output a feasibility score. The relevant historical project data can be used to train the model to make it more accurate.

[0052] In one embodiment, the cost-effectiveness score needs to comprehensively consider the total cost and expected benefits of the bidding scheme, or compare the cost-effectiveness of different bidding schemes under the premise of ensuring quality. For example, a cost-effectiveness analysis model can be established to input the cost data and expected output of the bidding scheme and output the cost-effectiveness score for use.

[0053] In one embodiment, the implementation efficiency score is used to evaluate whether the work plan of the bidding proposal is detailed, whether the technical path is clear, and whether the implementation cycle is reasonable. For example, a workflow analysis tool can be used to check the timeline and milestone settings of each stage proposed in the bidding proposal to ensure that they meet industry standards or are better than the average.

[0054] In this application, the matching score can help the evaluation experts quickly identify which bidding schemes best meet the bidding requirements and reduce unnecessary screening workload. The feasibility score can ensure that the final selected bidding scheme has a high success rate in actual operation and avoid project failure due to technical infeasibility. The cost-effectiveness score helps to select the most cost-effective scheme and maximize the efficiency of capital utilization while meeting the needs. The implementation efficiency score can ensure that the winning scheme can be completed within the specified time and reduce the risk of cost overruns caused by delays. Through the above scoring mechanism, the evaluation process becomes more objective and fair, and it also provides bidders with a clear direction for improvement, promoting the healthy development of the entire bidding industry.

[0055] Figure 2 A flowchart of another auxiliary prompt method for bid evaluation is shown. Figure 2 As shown, the process includes the following steps S201 to S203.

[0056] Step S201 , in response to monitoring that a bidding proposal has passed the preliminary review process, inputting the bidding proposal into a preconfigured hybrid model, so that the hybrid model outputs multimedia data for describing the bidding proposal.

[0057] Step S202, in response to monitoring that the bidding scheme enters the bidding process and monitoring that the bidder is presenting the bid, multimedia data is played to assist the bidder.

[0058] Step S203, in response to playing the multimedia data, synchronously displaying the scoring results to provide auxiliary prompts to the bid evaluation committee.

[0059] In the embodiment of the present application, while playing multimedia data in the bidding process, the scoring results of the bidding scheme are synchronously displayed, which not only provides instant feedback for the bid evaluation experts, but also facilitates them to conduct a more detailed review of the bidding scheme with reference to the scoring criteria. By publicly displaying the scoring results, the transparency of the bid evaluation process can be enhanced, so that all parties are clear about the scoring criteria and results, which helps to ensure the fairness of the bid evaluation. In addition, the scoring results can be used as auxiliary prompts to help the bid evaluation experts quickly grasp the key points of the bidding scheme, so as to make more accurate judgments and improve the quality of the bid evaluation. In addition, the display of multimedia data and the synchronous presentation of the scoring results enable the bid evaluation experts to discuss based on the same information source, facilitate consensus formation, and speed up the decision-making process. In summary, this application effectively improves the problems of insufficient intuitive information transmission and untimely feedback in the traditional bid evaluation process by introducing multimedia technology and instant feedback mechanism, thereby improving the efficiency and quality of the bid evaluation work, and thereby improving the objectivity of the bid evaluation results.

[0060] On this basis, the present application can also monitor the bid evaluation committee's questions during the bid presentation process to dynamically adjust the playback content of multimedia data.

[0061] Figure 3 A flowchart of another auxiliary prompt method for bid evaluation is shown. Figure 3 As shown, the process includes the following steps S301 to S303.

[0062] Step S301, in response to monitoring that the bidding proposal passes the preliminary review process, inputting the bidding proposal into a preconfigured hybrid model, so that the hybrid model outputs multimedia data for describing the bidding proposal.

[0063] Step S302, in response to monitoring that the bidding proposal enters the bidding process, monitoring the bidder to present the bid, and monitoring the bid evaluation committee to ask questions during the bidding process, time frame retrieval of multimedia data is performed according to the question content to obtain at least one target time frame data.

[0064] Among them, the display content of the target time frame data matches the question content.

[0065] Step S303: Play the target time frame data of the multimedia data to provide auxiliary prompts to the bidders.

[0066] In an embodiment of the present application, questions asked by the bid evaluation committee can be monitored during the bid presentation process, and the multimedia data playback content can be dynamically adjusted according to the content of the questions. By monitoring the questions asked by the bid evaluation committee in real time during the bid presentation process, multimedia time frame data matching the content of the questions can be quickly retrieved, and then these targeted contents can be played, thereby improving the interactivity and efficiency of the bid evaluation process, ensuring that the information obtained by the bid evaluation committee is more accurate and timely, thereby enhancing the fairness of the bid evaluation and optimizing the overall bid evaluation experience.

[0067] In addition, this application can also make further responses if the bid proposal passes the bidding process.

[0068] Figure 4 A flowchart of another auxiliary prompt method for bid evaluation is shown. Figure 4 As shown, the process includes the following steps S401 to S403.

[0069] Step S401 , in response to monitoring that a bidding proposal has passed the preliminary review process, inputting the bidding proposal into a preconfigured hybrid model, so that the hybrid model outputs multimedia data for describing the bidding proposal.

[0070] Step S402, in response to monitoring that the bidding scheme enters the bidding process and monitoring that the bidder is presenting the bid, multimedia data is played to assist the bidder.

[0071] Step S403, in response to monitoring that the bidding proposal passes the bidding process, the bidding proposal is sent to the bidding proposal library of the detailed review process.

[0072] This application generates multimedia data after the bidding proposal passes the preliminary review, and plays this data in the bidding process to assist the bidder. After the bidding proposal successfully passes the bidding process, it is automatically sent to the bidding proposal library of the detailed review process, thereby achieving efficient connection and automated management of the bidding evaluation process and improving the overall efficiency and organization of the bidding evaluation work.

[0073] In addition, as some other feasible embodiments, the present application can recommend optimization suggestions or references to similar successful cases to bidders based on the characteristics of the bidding proposal by analyzing historical data and current market trends. These suggestions will be presented in multimedia form to help bidders better adjust their bidding strategies and increase the probability of winning the bid. As some other feasible embodiments, an artificial intelligence assistant can be integrated, which can automatically generate a summary description based on the content of the bidding proposal and provide auxiliary instructions during the bidding process. The AI ​​assistant can also be responsible for collecting feedback from evaluation experts to help bidders make subsequent improvements.

[0074] Based on the above embodiments of the present application, it can be seen that the method provided by the present application can significantly shorten the bid evaluation time, significantly improve the bid evaluation quality, reduce contract performance disputes, increase the success rate of project implementation, and promote the healthy development of the bidding market.

[0075] In addition, in order to clarify the application scenarios of this application, a brief description is given below in conjunction with the bidding process.

[0076] Figure 5 A schematic diagram of a bid evaluation process is shown.

[0077] For example, Figure 5 As shown, in this application, first, the tenderer shall clarify the requirements for bid presentation when publishing the bidding project information on the electronic bidding platform, including the time, duration, method, content requirements and qualifications of bid presentation personnel, etc. Secondly, the bidder shall prepare the bidding documents and conduct bid presentation simulation preparation after obtaining the information, and then the online bid opening shall be carried out through the platform after the bid deadline. The bidders who are initially qualified by the bid evaluation committee will be introduced into the bid presentation process, the bid presentation order will be randomly sorted and a bid presentation notice will be sent to the bidders. Then the bidders shall present the bids at the specified time and in the specified manner, covering company profile, project understanding, demand response, resource investment and related commitments, and answer the questions of the bid evaluation committee, and automatically record the bid presentation process. Finally, the bid evaluation committee shall conduct a detailed review based on the bid presentation situation and other bid evaluation materials, summarize the comprehensive scores and generate an evaluation report. The whole process ensures the transparency, fairness and efficiency of the bid evaluation work.

[0078] The bidding process usually includes the following contents in order: (1) Bid notification: The tenderer issues a bid notification and relevant requirements before the bid opening or when issuing an announcement. (2) Bid preparation: The bidder shall make the following preparations according to the bid requirements: determine the bid objectives, direction and relevant strategies; determine the bid presentation personnel and bid presentation methods; prepare the relevant materials required for the bid presentation; determine the schedule according to the project bid opening, bid evaluation and bid presentation time; other preparations, such as remote support, etc. (3) Bid simulation: Before the formal bid presentation, the bidder can simulate the bid presentation in advance to find out the deficiencies so as to improve and perfect them. (4) Organize the bid presentation: The tenderer shall organize the bidder to carry out the bid presentation according to the bid presentation time, procedures and requirements to ensure that the bid presentation process avoids violations of relevant bidding laws and regulations (5) Start the bid presentation: According to the bid presentation requirements and arrangements, the bidder shall complete the bid presentation work in the determined order and time limit, such as analyzing the following contents: company introduction, project understanding, demand response, resource investment, relevant commitments, etc. (6) Question and answer session: The bidder shall answer the relevant questions raised by the bid evaluation experts at the bid presentation site.

[0079] During this period, the present application is mainly applied to the (2), (3), (5), and (6) links in the bid presentation process. For example, in link (2), the bid proposal is processed into multimedia data, and in link (3), the multimedia data is used for bid presentation simulation, and in this process, the multimedia data is reorganized, added, deleted, or modified, in link (5), the multimedia data is spoken and displayed simultaneously, and in link (6), the media content is automatically jumped based on questions and answers. Based on this, the present application can assist bidders to better express their bid proposals, and assist the tenderer (for example, in some cases, the tenderer is also the bid evaluation committee) to better understand the bid proposal, so that the bid evaluation committee can evaluate the bid proposal more objectively and achieve efficient and accurate bid evaluation.

[0080] This application aims to improve the efficiency and accuracy of bid evaluation by adding a bid presentation process as an auxiliary means. This method aims to address the problems of limited information integrity and accuracy and inability to display intuitively due to excessive reliance on written documents in current bid evaluation work, and proposes to make up for these shortcomings through a bid presentation process. The bid presentation process includes a series of steps from bid presentation notification, bid presentation preparation, bid presentation simulation, bid presentation organization, bid presentation execution to the final question and answer session. The tenderer will clearly specify the bid presentation requirements when publishing the tender project, and the bidder will prepare the corresponding bid presentation materials according to the bid presentation requirements and conduct simulation exercises before the formal bid presentation. After the preliminary review, the bid evaluation experts will randomly sort the bid presentation order of qualified bidders and notify the bidders of the bid presentation time, method and other information through SMS and other means. During the bid presentation stage, the bidders will present the bids in the prescribed order, and the bid evaluation committee can ask questions to gain an in-depth understanding of the bid proposal, and the entire process will be recorded and recorded. Finally, the bid evaluation committee will conduct a detailed review based on the bid presentation content and other materials, and automatically generate a comprehensive score and review report. This method not only improves the efficiency of bid evaluation, reduces the deviation caused by subjective judgment, but also promotes the healthy development of the bidding market.

[0081] The present application also provides an apparatus embodiment that is consistent with the above-mentioned embodiment, which is used to implement the method steps described in the above-mentioned embodiment. The explanation based on the same name meaning is the same as that of the above-mentioned embodiment, and has the same technical effect as that of the above-mentioned embodiment, and will not be repeated here.

[0082] like Figure 6 As shown, the present application provides an auxiliary prompting device 600 for bid evaluation, comprising:

[0083] The processing unit 601, in response to monitoring that the bidding scheme has passed the preliminary review process, inputs the bidding scheme into a preconfigured hybrid model so that the hybrid model outputs multimedia data for describing the bidding scheme. The hybrid model is composed of a transformer and a variational autoencoder VAEs. The transformer is used to convert the text data of the bidding scheme into voice data, and to perform text analysis on the bidding scheme. The variational autoencoder is used to generate images and simulate background sounds based on the results of text analysis. The hybrid model is used to output multimedia data including audio streams and video streams. The audio stream is composed of voice data and background sounds, and the video stream is composed of images and subtitles obtained based on text data. The playback unit 602, in response to monitoring that the bidding scheme has entered the bidding process and monitoring that the bidder is bidding, plays multimedia data to provide auxiliary prompts to the bidder.

[0084] In one embodiment, the processing unit 601 is further used to: score the bidding scheme for effectiveness and output the scoring result, wherein the scoring result includes one or a combination of the following: a score of matching between the bidding scheme and the bidding instructions; a score of feasibility of implementing the bidding scheme; a score of cost performance between the resource input of the bidding scheme and the feasibility score; and an implementation efficiency score including work ideas, technical routes and implementation cycles.

[0085] In one implementation, the playback unit 602 is further configured to: in response to playing the multimedia data, synchronously display the scoring results to assist the bid evaluation committee.

[0086] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0087] Figure 7 It is a block diagram of an electronic device 700 for providing auxiliary prompts for bid evaluation according to an exemplary embodiment.

[0088] like Figure 7 As shown, one embodiment of the present application provides an electronic device 700. The electronic device 700 includes a memory 701, a processor 702, and an input / output (I / O) interface 703. The memory 701 is used to store instructions. The processor 702 is used to call the instructions stored in the memory 701 to execute the method for auxiliary prompts for bid evaluation in the embodiment of the present application. The processor 702 is connected to the memory 701 and the I / O interface 703, respectively, for example, through a bus system and / or other forms of connection mechanisms (not shown). The memory 701 can be used to store programs and data, including the program of the method for auxiliary prompts for bid evaluation involved in the embodiment of the present application, and the processor 702 executes various functional applications and data processing of the electronic device 700 by running the program stored in the memory 701.

[0089] In the embodiment of the present application, the processor 702 can be implemented in at least one hardware form of a digital signal processor (Digital Signal Processing, DSP), a field programmable gate array (Field Programmable Gate Array, FPGA), and a programmable logic array (Programmable Logic Array, PLA). The processor 702 can be a central processing unit (Central Processing Unit, CPU) or one or a combination of other forms of processing units with data processing capabilities and / or instruction execution capabilities.

[0090] The memory 701 in the embodiment of the present application may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), flash memory, hard disk drive (HDD), or solid state drive (SSD), etc.

[0091] In the embodiment of the present application, the I / O interface 703 may be used to receive input instructions (such as digital or character information, and key signal input related to user settings and function control of the electronic device 700), and may also output various information to the outside (such as images or sounds). In the embodiment of the present application, the I / O interface 703 may include one or more of a physical keyboard, a function key (such as a volume control key, a switch key, etc.), a mouse, a joystick, a trackball, a microphone, a speaker, and a touch panel.

[0092] In some embodiments, the present application provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, any of the methods described above is performed.

[0093] In some embodiments, the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, any of the methods described above is performed.

[0094] Although operations are described in a particular order in the drawings, this should not be understood as requiring that the operations be performed in the particular order shown or in serial order, or that all shown operations be performed to achieve desired results. In certain circumstances, multitasking and parallel processing may be advantageous.

[0095] The methods and devices of the present application can be implemented using standard programming techniques, using rule-based logic or other logic to implement various method steps. It should also be noted that the words "device" and "module" used herein and in the claims are intended to include implementations using one or more lines of software code and / or hardware implementations and / or devices for receiving input.

[0096] Any steps, operations or procedures described herein may be performed or implemented using one or more hardware or software modules, either alone or in combination with other devices. In one embodiment, the software module is implemented using a computer program product including a computer-readable medium containing computer program code, which can be executed by a computer processor to perform any or all of the described steps, operations or procedures.

[0097] The foregoing description of the implementation of the present application has been given for the purpose of illustration and description. The foregoing description is not exhaustive nor is it intended to limit the present application to the exact form disclosed, and various variations and modifications may exist according to the above teachings or may be obtained from the practice of the present application. These embodiments are selected and described in order to illustrate the principles of the present application and its practical application, so that those skilled in the art can utilize the present application in various embodiments and various modifications suitable for the specific purpose contemplated.

[0098] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0099] It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present application, it should not be understood as requiring the operations to be performed in the specific order or serial order shown, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0100] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to encompass any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the field of the present application that are not disclosed in the present application. The specification and embodiments are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following scope of rights.

[0101] It should be understood that the present application is not limited to the precise structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the scope of the appended claims.

[0102] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An auxiliary prompt method for bid evaluation, characterized in that: include: In response to monitoring that the bidding scheme passes the preliminary review process, inputting the bidding scheme into a preconfigured hybrid model so that the hybrid model outputs multimedia data for describing the bidding scheme; The hybrid model is composed of a transformer and a variational autoencoder VAEs, wherein the transformer is used to convert the text data of the bidding proposal into voice data and to perform text analysis on the bidding proposal, the variational autoencoder is used to generate images and simulate background sounds based on the results of the text analysis, and the hybrid model is used to output multimedia data including an audio stream and a video stream; wherein the audio stream is composed of the voice data and the background sound, and the video stream is composed of the image and subtitles obtained based on the text data; In response to monitoring that the bidding plan enters the bidding process and monitoring that the bidder is presenting the bid, the multimedia data is played to provide auxiliary prompts to the bidder.

2. The method according to claim 1, characterized in that The method further comprises: The bidding scheme is scored and a scoring result is output, wherein the scoring result includes one or a combination of the following: A score of the degree of match between the bidding proposal and the bidding instructions; A score on the feasibility of implementing the bidding solution; A cost-effectiveness score between the resource input of the bidding solution and the feasibility score; Includes implementation efficiency scores for work ideas, technical routes and implementation cycles.

3. The method according to claim 2, characterized in that The method also includes: In response to playing the multimedia data, the scoring results are synchronously displayed to provide auxiliary prompts to the bid evaluation committee.

4. The method according to any one of claims 1 to 3, characterized in that The playing of the multimedia data comprises: In response to monitoring the bid evaluation committee asking a question during the bid presentation process, performing a time frame search on the multimedia data according to the question content to obtain at least one target time frame data, wherein the display content of the target time frame data matches the question content; The target time frame data of the multimedia data is played.

5. The method according to any one of claims 1 to 3, characterized in that The method also includes: In response to monitoring that the bid proposal passes the bidding process, the bid proposal is sent to a bid proposal library of a detailed review process.

6. An auxiliary prompt device for bid evaluation, characterized in that: include: The processing unit, in response to monitoring that the bidding proposal has passed the preliminary review process, inputs the bidding proposal into a preconfigured hybrid model, so that the hybrid model outputs multimedia data for describing the bidding proposal; wherein the hybrid model is composed of a transformer and a variational autoencoder VAEs, the transformer is used to convert the text data of the bidding proposal into voice data, and to perform text analysis on the bidding proposal, the variational autoencoder is used to generate images and simulate background sounds based on the results of the text analysis, and the hybrid model is used to output multimedia data including an audio stream and a video stream; wherein the audio stream is composed of the voice data and the background sounds, and the video stream is composed of the image and subtitles obtained based on the text data; The playback unit plays the multimedia data in response to monitoring that the bidding scheme enters the bidding process and monitoring that the bidder is presenting the bid, so as to provide auxiliary prompts to the bidder.

7. The device according to claim 6, characterized in that The processing unit is also used for: The bidding scheme is scored and a scoring result is output, wherein the scoring result includes one or a combination of the following: A score of the degree of match between the bidding proposal and the bidding instructions; A score on the feasibility of implementing the bidding solution; A cost-effectiveness score between the resource input of the bidding solution and the feasibility score; Includes implementation efficiency scores for work ideas, technical routes and implementation cycles.

8. The device according to claim 7, characterized in that The playback unit is also used for: In response to playing the multimedia data, the scoring results are synchronously displayed to provide auxiliary prompts to the bid evaluation committee.

9. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method according to any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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