Whole-process engineering consultation decision support method and device and electronic equipment

Abstract

The invention provides a whole-process engineering consultation decision support method and device and electronic equipment, and relates to the field of engineering consultation decision support. According to the method, a project progress and policy information, market information and technical information related to project engineering are acquired, and the technical information is extracted from historical project engineering; performing relevance calculation on the policy information and the market information to obtain associated information, and performing project progress prediction according to the associated information and the technical information to obtain a predicted progress; evaluating the project project according to the prediction progress and the project progress to obtain an initial evaluation system; consultation schemes of historical consultation questions are obtained, decision-making standardized extraction is carried out on the consultation schemes, and a decision-making consultation work system is obtained; and adjusting the initial evaluation system by using the decision consultation work system to obtain a decision support scheme. Possible problems of a project can be comprehensively predicted in an engineering consultation activity, and the accuracy of decision support is improved.

Description

Technical Field

[0001] The present application relates to the technical field of engineering consulting decision support, and specifically to a full-process engineering consulting decision support method, device and electronic equipment. Background Art

[0002] Engineering consulting decision support is to provide strong decision support for the selection of engineering consulting conclusions, suggestions and strategies through scientific statistics and systematic analysis of the information involved in a certain engineering consulting activity. The whole process engineering consulting decision support provides decision support for the entire process of the project. The complete decision support is conducive to providing more accurate decision information for engineering consultants and decision makers. In related technologies, decision support information is generated by combining internal status information (such as project progress) and external status information (such as policy information). However, the internal status information is not combined with the external status information, and potential problems of the project cannot be foreseen, and the accuracy of decision support is low. Summary of the invention

[0003] The present application provides a full-process engineering consulting decision support method, device and electronic equipment, which can comprehensively foresee possible problems in the project during engineering consulting activities and improve the accuracy of decision support.

[0004] The technical solution of the embodiment of the present application is as follows: In a first aspect, an embodiment of the present application provides a full-process engineering consulting decision support method, the method comprising: Obtain project progress, as well as policy information, market information and technical information related to the project, the technical information being extracted from historical project works; Calculate the correlation between the policy information and the market information to obtain correlation information, and predict the project progress based on the correlation information and the technical information to obtain a predicted progress; Evaluate the project according to the predicted progress and the project progress to obtain an initial evaluation system; Obtain consulting solutions for historical consulting issues, perform decision-making standardization extraction on the consulting solutions, and obtain a decision-making consulting work system; The decision-making consulting work system is used to adjust the initial evaluation system to obtain a decision-making support plan.

[0005] In the above technical scheme, the project progress, as well as the policy information, market information and technical information related to the project engineering are obtained. The technical information is extracted from the historical project engineering. By obtaining the information related to the project engineering, it is supported for the subsequent comprehensive analysis of the project and the prediction of possible problems; the policy information and market information are correlated to obtain the correlation information, and the project progress is predicted based on the correlation information and technical information to obtain the predicted progress. By performing correlation calculation and progress prediction, the policy and the market can be associated with the project, so as to conduct a comprehensive analysis and improve the accuracy of decision support; the project engineering is evaluated according to the predicted progress and project progress to obtain the initial evaluation system. Through the initial evaluation, the project engineering is evaluated throughout the process to find possible problems in the entire process of the project engineering; consulting solutions for historical consulting problems are obtained, and decision-making standardization is extracted for the consulting solutions to obtain a decision consulting work system, which provides a variety of implemented solutions as guidance for subsequent decisions, and can improve the credibility of decision support; the initial evaluation system is adjusted using the decision consulting work system to obtain a decision support solution, thereby improving the accuracy of decision support.

[0006] In some embodiments of the present application, the policy information includes historical policies and current policies; The calculating the correlation between the policy information and the market information to obtain the correlation information includes: Extract keywords from the historical policies and current policies to obtain key policy information; Extracting key indicators from the market information to obtain key market information; The policy key information and the market key information are analyzed and calculated using a preset regression analysis model to obtain the correlation information.

[0007] In some embodiments of the present application, the policy key information includes a plurality of keyword groups; The method of using a preset regression analysis model to analyze and calculate the policy key information and the market key information to obtain the associated information includes: Perform policy forecasting based on the keyword group to obtain forecasted policy; perform forecasting based on the key market information to obtain forecasted market; Regression calculation is performed on the forecast policy, the forecast market and the key market information, and the correlation is tested. When the test is qualified, the associated information is obtained.

[0008] In some embodiments of the present application, the step of performing a project progress forecast based on the associated information and the technical information to obtain a forecasted progress includes: Constructing a project network diagram according to the association information and the technical information, wherein the project network diagram includes dependency relationships between various tasks of the project engineering; The task completion time corresponding to each task is calculated according to the dependency relationship, and the predicted progress is obtained according to the task completion time.

[0009] In some embodiments of the present application, the use of the decision consultation work system to adjust the initial evaluation system to obtain a decision support solution includes: Extracting evaluation criteria in the decision-making consultation work system, wherein the evaluation criteria include review evaluation criteria and analysis evaluation criteria; Review and evaluate the initial evaluation system according to the review and evaluation standards to obtain the key factor scores and potential risk factor scores of the project; Analyze and evaluate the initial evaluation system according to the analysis and evaluation standards to obtain the feasibility factor score of the project; Compare the key factor score, the potential risk factor score and the feasibility factor score with the corresponding scores in the evaluation criteria to obtain a comparison result; Select the corresponding supporting scheme that does not meet the requirements in the comparison result, and use the supporting scheme in the decision-making consulting work system to replace the supporting scheme that does not meet the requirements in the initial evaluation system to obtain the decision-making support scheme.

[0010] In some embodiments of the present application, the review assessment criteria include key element criteria and risk criteria; The initial assessment system is reviewed and assessed according to the review and assessment standards to obtain the key factor scores and potential risk factor scores of the project, including: Score the elements of the initial assessment system according to the key element standards to obtain the key element factor score of the project; The initial assessment system is risk scored according to the risk criteria to obtain the potential risk factor score of the project.

[0011] In some embodiments of the present application, the decision-making standardized extraction of the consulting scheme to obtain a decision-making consulting work system includes: The consulting scheme is subjected to decision-making standardization extraction using a preset natural language model to obtain the decision-making consulting work system.

[0012] In a second aspect, an embodiment of the present application provides a full-process engineering consulting decision support device, the device comprising: A project acquisition module is used to obtain project progress, as well as policy information, market information and technical information related to the project, wherein the technical information is extracted from historical project engineering; A correlation prediction module, used for calculating the correlation between the policy information and the market information to obtain correlation information, and predicting the project progress according to the correlation information and the technical information to obtain the predicted progress; A project evaluation module, used to evaluate the project according to the predicted progress and the project progress, and obtain an initial evaluation system; A consulting information acquisition module is used to obtain consulting solutions for historical consulting issues, perform decision-making standardization extraction on the consulting solutions, and obtain a decision-making consulting work system; The decision support generation module is used to adjust the initial evaluation system using the decision consulting work system to obtain a decision support solution.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor, a memory, a user interface, a communication bus and a network interface, wherein the processor, the memory, the user interface and the network interface are respectively connected to the communication bus, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods provided in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the methods provided in the first aspect is executed.

[0015] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. As the project progress and policy information, market information and technical information related to the project are obtained first, the technical information is extracted from the historical project engineering. By obtaining the information related to the project engineering, it is supported for the subsequent comprehensive analysis of the project and the foreseeing of possible problems; the policy information and market information are calculated for correlation to obtain correlation information, and the project progress is predicted based on the correlation information and technical information to obtain the predicted progress. By performing correlation calculation and progress prediction, the policy and market can be associated with the project, so as to conduct a comprehensive analysis and improve the accuracy of decision support; the project engineering is evaluated according to the predicted progress and project progress to obtain the initial evaluation system. Through the initial evaluation, the project engineering is evaluated throughout the process to find possible problems in the entire process of the project engineering; consulting solutions for historical consulting problems are obtained, and decision-making standardization is extracted for the consulting solutions to obtain a decision-making consulting work system, which provides a variety of implemented solutions as guidance for subsequent decisions, and can improve the credibility of decision support; the initial evaluation system is adjusted using the decision-making consulting work system to obtain a decision support solution, which improves the accuracy of decision support. Therefore, the problem that the internal status information is not combined with the external status information in the related technology, the potential problems of the project cannot be foreseen, and the accuracy of decision support is low is effectively solved.

[0016] 2. By extracting features from historical and current policies and forecasting policies, and extracting and forecasting market information, we can establish the correlation between policies and markets, and identify market trends, so as to determine the exact direction of project engineering and obtain accurate decision-making support plans.

[0017] 3. Evaluate the initial assessment system from different dimensions to provide accurate decision-making support solutions and improve the accuracy of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of a full-process engineering consulting decision support method provided by an embodiment of the present application; Figure 2 yes Figure 1 A schematic flow chart of a sub-step of step S200; Figure 3 yes Figure 1 Another sub-step flow chart of step S200; Figure 4 yes Figure 1 A schematic flow chart of a sub-step of step S500; Figure 5 It is a structural schematic diagram of a full-process engineering consulting decision support device provided by an embodiment of the present application; Figure 6It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0020] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0021] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0022] The embodiment of the present application provides a full-process engineering consulting decision support method, device, electronic device and readable storage medium. The full-process engineering consulting decision support method first obtains the project progress, and policy information, market information and technical information related to the project engineering. The technical information is extracted from historical project engineering. By obtaining the information related to the project engineering, it is supported to comprehensively analyze the project in the future and foresee possible problems; the policy information and market information are calculated for correlation to obtain correlation information, and the project progress is predicted according to the correlation information and technical information to obtain the predicted progress. By performing correlation calculation and progress prediction, the policy and market can be associated with the project, so as to comprehensively analyze and improve the accuracy of decision support; the project engineering is evaluated according to the predicted progress and the project progress to obtain an initial evaluation system. Through the initial evaluation, the project engineering is evaluated in the whole process to find possible problems in the whole process of the project engineering; consulting solutions for historical consulting problems are obtained, and decision-making standardization is extracted for the consulting solutions to obtain a decision consulting work system, which provides a variety of implemented solutions as guidance for subsequent decisions, and can improve the credibility of decision support; the initial evaluation system is adjusted by using the decision consulting work system to obtain a decision support solution, thereby improving the accuracy of decision support.

[0023] It should be noted that this full-process engineering consulting decision support method is mainly used in the investment stage, construction implementation stage, and project operation stage of project engineering. Project engineering can be housing construction, highway bridges, high-speed rail tunnels and other projects. It can provide risk management and cross-project engineering consulting for project engineering and is widely used.

[0024] The technical solution provided in the embodiments of the present application is further described below in conjunction with the accompanying drawings.

[0025] Reference Figure 1 , Figure 1 It is a flow chart of the whole process engineering consulting decision support method provided by the embodiment of the present application. The whole process engineering consulting decision support method is applied to the websock server, and the whole process engineering consulting decision support device in the websock server executes the whole process engineering consulting decision support method through a processor in an electronic device or a readable storage medium. The whole process engineering consulting decision support method includes step S100, step S200, step S300, step S400 and step S500.

[0026] Step S100, obtaining the project progress, and policy information, market information and technical information related to the project, wherein the technical information is extracted from historical project information.

[0027] In one embodiment, the project progress includes the preparation of project materials and the current completion progress of the project. For example, if the project has not started, the project progress is 0. If the project has started but not completed, the project progress is obtained according to the percentage of the planned progress. The preparation of project materials includes design drawings, etc.; policy information is the project policy issued by the authority related to the project engineering; market information is the impact of market competition and market development on the project engineering; technical information includes engineering drawings and technical data, etc. The project progress can be estimated based on the current project, policy information is crawled from various authoritative websites through crawler technology, market information is obtained by professionals conducting market research, technical information is extracted from historical project engineering, project engineering in various regions and departments are summarized, and technical information is extracted using a preset deep learning algorithm, wherein the preset deep learning algorithm can be a convolutional neural network, a recurrent neural network, etc. The above information is entered into a preset database and read and obtained through a preset reading function. By obtaining information related to the project engineering, it is supported for subsequent comprehensive analysis of the project and for foreseeing possible problems. The preset database can be a mysql database or a DB database; the preset reading function is a query reading function of the corresponding database.

[0028] Step S200, calculating the correlation between policy information and market information to obtain correlation information, and predicting the project progress based on the correlation information and technical information to obtain the predicted progress.

[0029] In one embodiment, since policy information has a certain influence on market information, and market information also has a certain guiding effect on policy information, the two influence and relate to each other and play a decisive role in the development direction of the project. Considering the influence, the correlation between policy information and market information is first calculated to obtain correlation information, which is used to reflect the market situation so as to generate accurate project engineering consulting decisions later. Then, the correlation information and technical information are combined to obtain the predicted progress. By performing correlation calculation and progress prediction, the policy, market and project can be associated, so as to conduct a comprehensive analysis and improve the accuracy of decision support.

[0030] In one embodiment, the policy information includes historical policies and current policies, such as Figure 2 As shown, the policy information and market information are correlated and calculated to obtain correlation information, including but not limited to the following steps: Step S210, extract keywords from historical policies and current policies to obtain key policy information.

[0031] In one embodiment, the policy information includes historical policies and current policies. The policy trend can be obtained based on the historical policies and current policies, so that the impact on the project can be predicted. The historical policies and current policies are extracted by using a preset extraction algorithm to obtain key policy information, so that the impact on the project can be evaluated based on the key policy information. Among them, the preset extraction algorithm can be a text extraction algorithm, which is mainly for the case where the policy information is text, or it can be a picture text extraction algorithm, which is mainly for the case where the policy information is picture and text.

[0032] It should be noted that in view of the situation that historical policies and current policies may have the same keywords, the extraction algorithm extracts the same keywords and newly appearing keywords, and forms a set of the same keywords and newly appearing keywords to obtain policy key information. The extraction algorithm is trained through a large number of policies.

[0033] Step S220, extract key indicators from the market information to obtain key market information.

[0034] In one embodiment, a preset extraction algorithm is used to extract key indicators from market information to obtain key market information, so as to subsequently evaluate the impact on the project based on the key market information. The preset extraction algorithm may be a text extraction algorithm, and the text extraction algorithm may be a bag-of-words model, TF-IDF, Word2Vec algorithm, etc.

[0035] Step S230, using a preset regression analysis model to analyze and calculate the key policy information and the key market information to obtain related information.

[0036] In one embodiment, the policy key information includes a plurality of keyword groups, and the policy key information and the market key information are analyzed and calculated using a preset regression analysis model to obtain related information, including but not limited to the following steps: Step S231, making policy predictions based on the keyword group to obtain a predicted policy; making predictions based on key market information to obtain a predicted market.

[0037] In some possible embodiments of the present application, some groups in each keyword group only include repeated keywords in historical policies and current policies, and some groups include newly appeared keywords in current policies. On the basis of these keyword groups, policies are predicted to obtain predicted policies, and the development trend of policies can be understood, thereby guiding project engineering. Policy prediction can be carried out on keyword groups using a pre-trained recurrent neural network model and its variants or a transformer model to obtain predicted policies, which can further enhance the accuracy of decision support solutions. Transformer models can be used to predict key market information to obtain predicted markets, and the market forecast can reflect the development trend of competition in the market, thereby guiding project engineering.

[0038] Step S232, performing regression calculation on the forecast policy, forecast market and key market information, and testing the correlation, and obtaining the related information if the test is qualified.

[0039] In some possible embodiments of the present application, a regression analysis model is constructed by taking the forecast policy and forecast market as independent variables, and the impact of the project development corresponding to the key market information as the dependent variable. The regression analysis model is used to perform regression calculations on the forecast policy, forecast market and key market information, and the regression analysis model is verified, that is, to verify whether the regression analysis model has practical significance. If the verification is qualified, it indicates that the calculation result of the regression analysis model is in line with the project trend under the policy market, and related information is obtained, so that the project engineering can be comprehensively analyzed based on the related information in the future, thereby improving the accuracy of decision support.

[0040] In some other possible embodiments of the present application, if the test fails, it indicates that the calculation result of the regression analysis model does not conform to the project trend under the policy market. The parameters of the regression analysis model are adjusted and the calculation is performed again until the test passes, and the related information is obtained through calculation.

[0041] like Figure 3 As shown, the project progress is predicted based on the associated information and technical information to obtain the predicted progress, including but not limited to the following steps: Step S240, constructing a project network diagram according to the associated information and the technical information, wherein the project network diagram includes the dependency relationships between the various tasks of the project engineering.

[0042] In one embodiment, a project network diagram of associated information and technical information is constructed using a knowledge graph, wherein the associated information includes the relationship between policies and markets, and the impact of policies and markets on project engineering, and the associated information will also have an impact on the technical information of project engineering. The project network diagram includes the dependencies between the various tasks of the project engineering, and also includes the impact of policies and markets on various tasks at different stages, resulting in changes in the tasks. Through the project network diagram, it is possible to reflect the completed tasks of each node in the entire process of the project engineering, as well as the connection between the tasks, and combine policy information, market information and engineering project technology, etc., to foresee potential problems in the project engineering and improve the accuracy of decision support.

[0043] Step S250, calculating the task completion time corresponding to each task according to the dependency relationship, and obtaining the predicted progress according to the task completion time.

[0044] In one embodiment, according to the dependency relationship obtained in step S240, the project network diagram can be calculated. Exemplarily, the graph calculation can be a depth-first search or a breadth-first search of the graph, or the optimal path can be found according to the knowledge graph. The optimal path is found according to the knowledge graph, and the associated task nodes are found through the dependency relationship. According to the associated task nodes, the task completion time corresponding to each task node is calculated. By calculating the time, the shortest time and the corresponding completion time point corresponding to each task can be obtained, so that the progress of the project can be obtained. The predicted progress of the project can be estimated according to the progress, and the predicted progress can be used to realize the consultation of the project progress.

[0045] Step S300, evaluating the project according to the predicted progress and the project progress to obtain an initial evaluation system.

[0046] In one embodiment, the project progress is the actual implementation plan progress of the actual project engineering, and the predicted progress is the progress predicted based on policy information and market information. The project engineering is evaluated based on the predicted progress and the project, and the project is corrected through the predicted progress. The policy market development, human resources, material and financial resources, and time resource allocation in the process of the project engineering are evaluated to obtain an initial evaluation system. Through the initial evaluation, the entire process of the project engineering is evaluated to find possible problems in the entire process of the project engineering.

[0047] Step S400, obtaining consulting solutions for historical consulting issues, performing decision-making standardization extraction on the consulting solutions, and obtaining a decision-making consulting work system.

[0048] In one embodiment, the historical consulting questions are a collection of consulting questions from various regions and departments. By summarizing the historical consulting questions from various regions and departments, it is possible to understand in more detail the potential problems that may be encountered throughout the project engineering process, provide a variety of implemented solutions as guidance for subsequent decision-making, and improve the credibility of decision-making support. The historical consulting questions and consulting solutions of various regions and departments can be stored, and the consulting solutions of historical consulting questions can be obtained through a preset reading function to prepare for the subsequent evaluation system adjustment.

[0049] In another embodiment, decision standardization extraction is performed on the consulting scheme to obtain a decision consulting work system, including but not limited to: using a preset natural language model to perform decision standardization extraction on the consulting scheme to obtain a decision consulting work system.

[0050] In some possible embodiments of the present application, the preset natural language model is a model pre-trained based on a large number of consulting questions related to project engineering and consulting solutions corresponding to the consulting questions, and can be a bidirectional encoder model (Bidirectional Encoder Representations from Transformers, BERT) or GPT model. Exemplarily, the preset BERT model is used to perform decision-making standardization extraction on the consulting solution, which can extract problem definition, background analysis, recommended measures, and multiple evaluation criteria, etc., to obtain a decision-making consulting work system, and provide a variety of implemented solutions as guidance for subsequent decisions.

[0051] Step S500, using the decision-making consultation work system to adjust the initial evaluation system to obtain a decision support plan.

[0052] like Figure 4 As shown, the initial evaluation system is adjusted using the decision-making consulting work system to obtain a decision support plan, including but not limited to the following steps: Step S510, extracting evaluation criteria in the decision-making consulting work system, where the evaluation criteria include review evaluation criteria and analysis evaluation criteria.

[0053] In some possible embodiments of the present application, the decision-making consulting work system obtained according to step S400 includes a variety of evaluation criteria, as well as corresponding consulting questions and solutions. The evaluation criteria in the decision-making consulting work system are extracted using a keyword extraction algorithm, and the evaluation criteria can be used to evaluate the initial evaluation system to obtain an accurate decision support solution. The keyword extraction algorithm can be a text mining algorithm or a keyword extraction algorithm based on graph theory. The evaluation criteria include review evaluation criteria and analysis evaluation criteria. The review evaluation criteria are mainly used to evaluate the elements of the project and the potential risk assessment; the analysis evaluation criteria are mainly used for feasibility assessment.

[0054] Step S520, review and evaluate the initial evaluation system according to the review and evaluation standards to obtain the key factor scores and potential risk factor scores of the project.

[0055] In some possible embodiments of the present application, the review and evaluation standards include key element standards and risk standards; the initial evaluation system is reviewed and evaluated according to the review and evaluation standards to obtain key element factor scores and potential risk factor scores for the project, including but not limited to: scoring the elements of the initial evaluation system according to the key element standards to obtain key element factor scores for the project; and scoring the risks of the initial evaluation system according to the risk standards to obtain potential risk factor scores for the project.

[0056] Specifically, the initial evaluation system is scored based on the scoring criteria and scoring items in the key element standards. Specifically, based on the scoring items, the element information matching the scoring items is extracted from the initial evaluation system, and the extracted element information is scored through the automatic scoring system. The scoring meets the scoring criteria in the key element standards, and the key element factor score of the project is obtained. The key element factor score can be used to evaluate whether the initial evaluation system meets the project requirements, so as to generate an accurate decision support plan.

[0057] Each project has certain risks. According to the risk score and risk scoring items in the risk standard, the initial assessment system is scored. Specifically, according to the risk scoring items, risk information matching the risk scoring items is extracted from the initial assessment system, and the extracted risk information is scored by the automatic scoring system. The score meets the risk scoring standard in the risk standard to obtain the potential risk factor score of the project. The risk factor score can be used to evaluate whether the initial assessment system meets the project requirements, so as to generate an accurate decision support plan. It should be noted that the automatic scoring system can score for professionals, and can also build good automatic scoring software.

[0058] Step S530: Analyze and evaluate the initial evaluation system according to the analysis and evaluation criteria to obtain the feasibility factor score of the project.

[0059] In some possible embodiments of the present application, the initial evaluation system is analyzed and evaluated according to the feasibility score and feasibility score items in the analysis and evaluation criteria. Specifically, according to the feasibility score items, project execution information matching the feasibility score items is extracted from the initial evaluation system, and the extracted project execution information is scored by an automatic scoring system. The score meets the feasibility score criteria in the analysis and evaluation criteria, and the feasibility factor score of the project is obtained. The feasibility factor score can be used to evaluate whether the initial evaluation system meets the feasibility requirements of the project, so as to generate an accurate decision support plan.

[0060] Step S540, comparing the key element factor score, the potential risk factor score and the feasibility factor score with the corresponding scores in the evaluation criteria respectively to obtain a comparison result.

[0061] In some possible embodiments of the present application, based on the obtained key element factor scores, potential risk factor scores and feasibility factor scores, the key element factor scores are compared with the scores in the key element standards in the evaluation criteria, so as to subsequently check whether the key element information of the project engineering meets the standards. The potential risk factor scores are compared with the scores in the risk standards in the evaluation criteria, so as to subsequently check whether the project engineering has serious potential risks. The feasibility factor scores are respectively compared with the scores in the analysis and evaluation criteria in the evaluation criteria, so as to subsequently check whether the project engineering is feasible.

[0062] Step S550, selecting the corresponding supporting scheme that does not meet the requirements in the comparison result, and using the supporting scheme in the decision consulting work system to replace the supporting scheme that does not meet the requirements in the initial evaluation system, to obtain a decision support scheme.

[0063] In some possible embodiments of the present application, according to the comparison result obtained in step S540, the comparison result includes the results of three comparison items. When the key factor score, potential risk factor score and feasibility factor score all meet the requirements, the support scheme in the initial evaluation system is used as the final decision support scheme. In the comparison result, if one of the key factor score, potential risk factor score and feasibility factor score does not meet the requirements of the support scheme, the support scheme corresponding to the score that does not meet the requirements is found, and the corresponding support scheme in the decision consulting work system is used to replace the support scheme that does not meet the requirements in the initial evaluation system with the support scheme in the decision consulting work system, so as to obtain the final decision support scheme, and improve the accuracy of decision support by making comparisons and adjustments. Exemplarily, when the potential risk factor score is greater than the score in the risk standard in the evaluation standard, the initial evaluation system meets the requirements. When the potential risk factor score is less than the score in the risk standard in the evaluation standard, it indicates that there is a potential risk in the initial evaluation system. According to the historical consulting questions and the consulting schemes for the historical consulting questions, the replacement schemes for the potential risks are found, that is, the support schemes in the decision consulting work system are used to replace the support schemes that do not meet the requirements in the initial evaluation system, so as to obtain the final decision support scheme, and improve the accuracy of decision support.

[0064] like Figure 5 As shown, the embodiment of the present application provides a full-process engineering consulting decision support device 100, which obtains the project progress, as well as policy information, market information and technical information related to the project engineering through the project acquisition module 110. The technical information is extracted from historical project engineering. By obtaining information related to the project engineering, it supports the subsequent comprehensive analysis of the project and the foreseeing of possible problems; the correlation prediction module 120 is used to calculate the correlation between policy information and market information to obtain correlation information, and the project progress is predicted based on the correlation information and technical information to obtain the predicted progress. By performing correlation calculation and progress prediction, the policy and market can be associated with the project, thereby Comprehensive analysis is conducted to improve the accuracy of decision support; the project evaluation module 130 is used to evaluate the project according to the predicted progress and project progress to obtain an initial evaluation system, and the entire process of the project is evaluated through the initial evaluation to identify possible problems in the entire process of the project; consulting solutions for historical consulting problems are obtained through the consulting information acquisition module 140, and decision-making standardization is extracted from the consulting solutions to obtain a decision consulting work system, which provides a variety of implemented solutions as guidance for subsequent decisions, and can improve the credibility of decision support; the decision support generation module 150 is used to adjust the initial evaluation system using the decision consulting work system to obtain a decision support solution, thereby improving the accuracy of decision support.

[0065] It should be noted that the project acquisition module 110 is connected to the association prediction module 120 , the association prediction module 120 is connected to the project evaluation module 130 , the project evaluation module 130 is connected to the consulting information acquisition module 140 , and the consulting information acquisition module 140 is connected to the decision support generation module 150 . The above-mentioned full-process engineering consulting decision support method is applied to the full-process engineering consulting decision support device 100. The full-process engineering consulting decision support device 100 obtains the project progress and policy information, market information and technical information related to the project engineering. The technical information is extracted from the historical project engineering. By obtaining the information related to the project engineering, it supports the subsequent comprehensive analysis of the project and foreseeing possible problems; the policy information and market information are calculated for correlation to obtain correlation information, and the project progress is predicted according to the correlation information and technical information to obtain the predicted progress. By performing correlation calculation and progress prediction, the policy and market can be associated with the project, so as to conduct a comprehensive analysis and improve the accuracy of decision support; the project engineering is evaluated according to the predicted progress and the project progress to obtain an initial evaluation system. Through the initial evaluation, the project engineering is evaluated throughout the process to find possible problems in the whole process of the project engineering; the consulting solutions for historical consulting problems are obtained, and the consulting solutions are extracted for decision standardization to obtain a decision consulting work system, which provides a variety of implemented solutions as guidance for subsequent decisions, and can improve the credibility of decision support; the initial evaluation system is adjusted by using the decision consulting work system to obtain a decision support solution, thereby improving the accuracy of decision support.

[0066] It should also be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0067] The present application also discloses an electronic device. Figure 6 , Figure 6 The electronic device 500 may include: at least one processor 501 , at least one network interface 504 , a user interface 503 , a memory 505 , and at least one communication bus 502 .

[0068] The communication bus 502 is used to realize the connection and communication between these components.

[0069] The user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.

[0070] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0071] Among them, the processor 501 may include one or more processing cores. The processor 501 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 505, and calling data stored in the memory 505. Optionally, the processor 501 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 501 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 501, and it can be implemented separately through a chip.

[0072] Among them, the memory 505 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 505 may also be optionally at least one storage device located away from the aforementioned processor 501. Refer to Figure 6, the memory 505 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a whole-process engineering consulting decision support method.

[0073] exist Figure 6 In the electronic device 500 shown, the user interface 503 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 501 can be used to call the application program storing a full-process engineering consulting decision support method in the memory 505, and when executed by one or more processors 501, the electronic device 500 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0074] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0075] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0076] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0078] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0079] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0080] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A whole-process engineering consulting decision support method, characterized in that: The method comprises: Obtain project progress, as well as policy information, market information and technical information related to the project, the technical information being extracted from historical project works; Calculate the correlation between the policy information and the market information to obtain correlation information, and predict the project progress based on the correlation information and the technical information to obtain a predicted progress; Evaluate the project according to the predicted progress and the project progress to obtain an initial evaluation system; Obtain consulting solutions for historical consulting issues, perform decision-making standardization extraction on the consulting solutions, and obtain a decision-making consulting work system; The decision-making consulting work system is used to adjust the initial evaluation system to obtain a decision-making support plan.

2. The method according to claim 1, characterized in that The policy information includes historical policies and current policies; The calculating the correlation between the policy information and the market information to obtain the correlation information includes: Extract keywords from the historical policies and current policies to obtain key policy information; Extracting key indicators from the market information to obtain key market information; The policy key information and the market key information are analyzed and calculated using a preset regression analysis model to obtain the correlation information.

3. The method according to claim 2, characterized in that The key policy information includes multiple keyword groups; The method of using a preset regression analysis model to analyze and calculate the policy key information and the market key information to obtain the associated information includes: Perform policy forecasting based on the keyword group to obtain forecasted policy; perform forecasting based on the key market information to obtain forecasted market; Regression calculation is performed on the forecast policy, the forecast market and the key market information, and the correlation is tested. When the test is qualified, the associated information is obtained.

4. The method according to claim 1, characterized in that: The step of performing a project progress forecast based on the associated information and the technical information to obtain a forecasted progress includes: Constructing a project network diagram according to the association information and the technical information, wherein the project network diagram includes dependency relationships between various tasks of the project engineering; The task completion time corresponding to each task is calculated according to the dependency relationship, and the predicted progress is obtained according to the task completion time.

5. The method according to claim 1, characterized in that The use of the decision-making consulting work system to adjust the initial evaluation system to obtain a decision support plan includes: Extracting evaluation criteria in the decision-making consultation work system, wherein the evaluation criteria include review evaluation criteria and analysis evaluation criteria; Review and evaluate the initial evaluation system according to the review and evaluation standards to obtain the key factor scores and potential risk factor scores of the project; Analyze and evaluate the initial evaluation system according to the analysis and evaluation criteria to obtain a feasibility factor score for the project; Compare the key factor score, the potential risk factor score and the feasibility factor score with the corresponding scores in the evaluation criteria to obtain a comparison result; The corresponding supporting scheme that does not meet the requirements in the comparison result is selected, and the supporting scheme in the decision-making consulting work system is used to replace the supporting scheme that does not meet the requirements in the initial evaluation system to obtain the decision-making supporting scheme.

6. The method according to claim 5, characterized in that The review and assessment criteria include key element criteria and risk criteria; The initial assessment system is reviewed and assessed according to the review and assessment standards to obtain the key factor scores and potential risk factor scores of the project, including: Score the elements of the initial assessment system according to the key element standards to obtain the key element factor score of the project; The initial assessment system is risk scored according to the risk criteria to obtain the potential risk factor score of the project.

7. The method according to claim 1, characterized in that The decision-making standardization extraction of the consulting scheme is performed to obtain a decision-making consulting work system, including: The consulting scheme is subjected to decision-making standardization extraction using a preset natural language model to obtain the decision-making consulting work system.

8. A full-process engineering consulting decision support device, characterized in that: The device comprises: A project acquisition module (110) is used to acquire project progress, as well as policy information, market information and technical information related to the project, wherein the technical information is extracted from historical project works; A correlation prediction module (120) is used to calculate the correlation between the policy information and the market information to obtain correlation information, and to predict the project progress based on the correlation information and the technical information to obtain a predicted progress; A project evaluation module (130), used to evaluate the project according to the predicted progress and the project progress, and obtain an initial evaluation system; A consultation information acquisition module (140) is used to obtain consultation solutions for historical consultation issues, perform decision-making standardization extraction on the consultation solutions, and obtain a decision-making consultation work system; A decision support generation module (150) is used to adjust the initial evaluation system using the decision consultation work system to obtain a decision support solution.

9. An electronic device, characterized in that: The electronic device (500) comprises a processor (501), a memory (505), a user interface (503), a communication bus (502) and a network interface (504), wherein the processor (501), the memory (505), the user interface (503) and the network interface (504) are respectively connected to the communication bus (502), the memory (505) is used to store instructions, the user interface (503) and the network interface (504) are used to communicate with other devices, and the processor (501) is used to execute the instructions stored in the memory (505) so that the electronic device (500) executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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