Whole-process engineering consultation maturity evaluation method

By integrating and marking engineering consulting related materials, building weight functions and establishing a performance appraisal system, the problem of difficult to measure the service level of the entire process engineering consulting in the existing technology is solved, and multi-dimensional quantitative evaluation and objective evaluation of service level are achieved.

CN120494734AInactive Publication Date: 2025-08-15HUNAN KAIYUAN CONSTRUCTION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510576046.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-06
Publication Date
2025-08-15
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing technology lacks objective measures to measure the level of full-process engineering consulting services, and it is difficult to quantify the evaluation of its maturity and service level.

Method used

Integrate bidding materials, project cost materials and construction progress materials, mark them as different sets of key factors through marking procedures, and build a weight function for the whole process engineering consulting service, calculate the expected rate of return and human resources costs based on the project budget and contract agreements, and establish a performance appraisal system for evaluation.

Benefits of technology

A multi-dimensional evaluation of full-process engineering consulting services has been achieved, the objectivity and accuracy of evaluation has been improved, and the service level and project maturity can be quantified.

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Abstract

The invention relates to the technical field of engineering consultation maturity evaluation, in particular to a whole-process engineering consultation maturity evaluation method, which integrates whole-process engineering consultation related data and uploads the related data to a computer, and the related data comprises bidding data, engineering cost data and construction progress data; based on a data marking program, respectively marking the bidding and tendering data, the engineering cost data and the construction progress data, marking the engineering cost data as a first key factor set, marking the construction progress data as a second key factor set, and marking the bidding and tendering data as a third key factor set; the first key factor set comprises at least one first key factor; according to the invention, information related to whole-process engineering consultation is integrated, including bidding and tendering information, engineering cost information and construction progress information, and subsequent evaluation and analysis can be carried out more conveniently by uploading the information to the computer.
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Description

Technical Field

[0001] The present invention relates to the technical field of engineering consulting maturity evaluation, and in particular to a full-process engineering consulting maturity evaluation method. Background Art

[0002] In recent years, amidst the rapid development of the construction industry, enterprise management has become characterized by high technical requirements and a shortage of specialized talent. Coupled with the industry's internationalization, the concept of construction engineering consulting has gradually emerged within the industry. The full-process consulting management approach to construction projects, pioneered in developed European countries, offers new solutions to numerous challenges facing the development of my country's construction industry.

[0003] Full-process engineering consulting provides engineering consulting services covering all aspects of a project's lifecycle, from preliminary research and decision-making to implementation and operation (or operation), including design and planning, encompassing organizational, management, economic, and technical aspects. Full-process engineering consulting services can employ a variety of organizational models, providing continuous partial or overall solutions for project decision-making, implementation, and operation. Practice has proven that full-process construction consulting management can play a guiding and improving role, connecting the design and construction processes of a building and resolving many of the challenges currently facing construction project execution.

[0004] As we all know, full-process engineering consulting has become a development trend in the organizational model of my country's engineering consulting industry. While theoretical research and practical exploration have yielded certain results in institutional provision, its service level remains difficult to measure. Maturity, on the other hand, is a measure of service level, reflecting the maturity of the research subject at a given time. Internationally, research on software capability maturity, project management maturity, and BIM maturity continues to attract attention, promoting their application and development within the industry. Therefore, full-process engineering consulting maturity assessment measures the maturity of full-process engineering consulting services, reflecting their maturity and enabling a quantitative assessment of current service levels. However, existing intelligent methods lack an objective solution for measuring full-process engineering consulting service levels. Summary of the Invention

[0005] In view of this, the embodiments of the present invention hope to provide a full-process engineering consulting maturity evaluation method to solve or alleviate the technical problems existing in the prior art and provide at least a beneficial option for the above technical problems.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A full-process engineering consulting maturity evaluation method, the method comprising the following steps:

[0008] S1. Integrate the relevant data of the whole process engineering consultation and upload the relevant data to the computer, including the bidding data, project cost data and construction progress data;

[0009] S2. Based on the data marking program, mark the bidding documents, project cost documents, and construction progress documents respectively, mark the project cost documents as a first key factor set, mark the construction progress documents as a second key factor set, and mark the bidding documents as a third key factor set, wherein the first key factor set includes at least one first key factor, the second key factor set includes at least one second key factor, and the third key factor set includes at least one third key factor;

[0010] S3. Construct a weight function for the whole-process engineering consulting service based on the first key factor set, the second key factor set, and the third key factor set: Z = a / A*D1+b / B*D2+c / C*D3, where Z is the weight value of the engineering consulting service, a is the value of at least one first key factor in the first key factor set, A is the total value of the first key factors in the first key factor set, D1 is the weight coefficient of the first key factor, b is the value of at least one second key factor in the second key factor set, B is the total value of the second key factors in the second key factor set, D2 is the weight coefficient of the second key factor, c is the value of at least one third key factor in the third key factor set, C is the total value of the third key factors in the third key factor set, and D3 is the weight coefficient of the third key factor;

[0011] S4. Obtain an engineering consulting service weight value based on the constructed full-process engineering consulting service weight function, and evaluate the engineering project to be consulted based on the obtained engineering consulting service weight value.

[0012] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method further includes the following steps:

[0013] Step 1: Establish a project systematically based on the service type and project consulting service phase scope agreed in the consulting contract;

[0014] Step 2: Based on the project budget or target cost data, plan a professional contract package in combination with the project contracting model;

[0015] Step 3: Calculate the expected rate of return and planned profit margin for the project or professional contract package based on the actual project situation and the agreed terms of the consulting contract, thereby further calculating the human resource cost limit for the project or professional contract package;

[0016] Step 4: Using the professional contract package as the budget object, the consulting phase as the budget cycle, the standardized task content as the basic unit, and the human resource cost limit of the project or professional contract package as the control target, comprehensively plan the standardized task hours required from the start to the end of the project;

[0017] Step 5: Starting with directive management, promptly assign plan and task responsibilities, and implement a feasible daily task plan based on 8 hours of human resources per day.

[0018] Step 6: The person in charge of the task strictly implements the time node plan, and promptly submits the business results and task results documents to the superior for review. The task execution effect data is generated into a performance appraisal report through algorithm design;

[0019] Step 7. After completing the task, the person in charge will apply for second or third level quality review based on the importance of the task. The reviewer will feedback the content that needs to be modified to the person in charge through the system. The person in charge will rework and modify until all the output documents under the task are qualified. The system will compare the content to be modified in the review with the quality evaluation rules and form a performance appraisal report through algorithm design.

[0020] Step 8: With a monthly assessment cycle, task responsibilities are archived according to the basic data catalog planned by the archive manager and the achievement data catalog automatically generated by the system based on task completion. The archive evaluation is designed through an algorithm to form a performance assessment report;

[0021] Step 9. After the project consultation is completed, the project manager will conduct paper archiving according to the directory automatically generated by the system.

[0022] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method includes a consultation request matching step before a customer consults on a full-process engineering project, the consultation request matching step including: generating a consultation service request based on the customer's consultation intention, and obtaining a keyword comparison string based on the consultation service request;

[0023] Preset a keyword database, and perform similarity matching between the obtained keyword comparison string and the keyword strings in the preset keyword database, and use the successfully matched keyword strings as matching keywords;

[0024] Based on the matching keywords, an associated search is performed in the preset consultation database to obtain the corresponding consultation content.

[0025] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method, the step of obtaining matching keywords includes: based on a string comparison program, performing a similarity comparison between the obtained keyword comparison string and at least one keyword string in a preset keyword database, and taking the keyword string with the highest similarity as the matching keyword.

[0026] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method, when marking bidding materials, project cost materials and construction progress materials, includes: extracting characteristic values of the bidding materials, project cost materials and construction progress materials respectively, and classifying the bidding materials, project cost materials and construction progress materials according to the extracted characteristic values.

[0027] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method sets the extracted characteristic values as marking symbols, and based on the marking symbols, symbolizes the bidding materials, project cost materials and construction progress materials respectively.

[0028] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method, the bidding information includes bidding documents and technical documents, the engineering cost information includes material and equipment purchase lists and staff salary expense lists, and the construction progress information includes real-time construction progress data and phased construction progress data.

[0029] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method, wherein the performance evaluation system includes project engineer performance evaluation and project manager performance evaluation, including project engineer monthly performance and project engineer quarterly performance, wherein the project engineer monthly performance includes daily task clearance efficiency, standardized task extension, daily task clearance result document quality and task timeliness, wherein the project engineer quarterly performance includes job responsibility, behavioral norms, plan foresight ability, plan prediction ability, technical quality satisfaction, progress efficiency satisfaction, service attitude satisfaction, monthly data archiving and workload points data;

[0030] The project manager performance includes the project manager's monthly performance, project manager's quarterly performance and project manager's annual performance. The project manager's monthly performance includes daily management efficiency, standardized task extension, results quality spot check, task execution timeliness and project management timeliness.

[0031] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method, the project manager's quarterly performance includes job responsibilities and behavioral norms.

[0032] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method, the project manager's annual performance includes monthly HR idle time, customer demand interpretation quality, plan foresight ability, plan prediction ability, technical quality satisfaction, progress efficiency satisfaction, service attitude satisfaction, monthly archiving of electronic materials, average monthly workload points per person, program planning quality, technical guidance quality, rework waste cost, three-level task review and HR structural waste cost.

[0033] The embodiment of the present invention adopts the above technical solution, which has at least one of the following advantages:

[0034] Integrate information from multiple parties: This method first integrates the information related to the entire process of engineering consulting, including bidding information, project cost information and construction progress information. By uploading this information to the computer, subsequent evaluation and analysis can be carried out more conveniently.

[0035] Multi-dimensional evaluation: This method marks different types of information as different key factors, such as marking project cost information as the first key factor, construction progress information as the second key factor, and bidding information as the third key factor, and constructs corresponding weight functions for evaluation. Such multi-dimensional evaluation can more comprehensively consider the impact of various key factors on engineering consulting services.

[0036] Eigenvalue extraction and symbol marking: This method uses eigenvalue extraction and symbol marking when marking bidding materials, project cost materials, and construction progress materials. By extracting eigenvalues and setting marking symbols, different types of data can be more clearly classified and distinguished, which is helpful for subsequent analysis and evaluation.

[0037] Keyword matching: In the consultation request matching step, by performing similarity matching between the obtained keyword comparison string and the preset keyword database, it is possible to efficiently match the required keywords. This ensures that the consultation content related to the customer's needs is obtained from the preset consultation database, improving the accuracy and efficiency of matching.

[0038] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 The process of a full-process engineering consulting maturity evaluation method proposed by this invention Figure 1 .

[0041] Figure 2 The process of a full-process engineering consulting maturity evaluation method proposed by this invention Figure 2 . DETAILED DESCRIPTION

[0042] Hereinafter, only certain exemplary embodiments are briefly described. As will be appreciated by those skilled in the art, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and description are to be considered as illustrative in nature and not restrictive.

[0043] It should be noted that the terms "first," "second," "symmetrical," and "array" are used solely for descriptive and positional purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the technical features being referred to. Therefore, limitations on features such as "first" and "symmetrical" may explicitly or implicitly include one or more of these features. Similarly, when features are not limited in quantity using words such as "two" or "three," it should be noted that these features also explicitly or implicitly include one or more of these features.

[0044] like Figure 1 As shown, the present invention provides a full-process engineering consulting maturity evaluation method, which includes the following steps:

[0045] S1. Integrate the relevant data of the whole process engineering consultation and upload the relevant data to the computer, including the bidding data, project cost data and construction progress data;

[0046] S2. Based on the data marking program, mark the bidding documents, project cost documents, and construction progress documents respectively, mark the project cost documents as a first key factor set, mark the construction progress documents as a second key factor set, and mark the bidding documents as a third key factor set, wherein the first key factor set includes at least one first key factor, the second key factor set includes at least one second key factor, and the third key factor set includes at least one third key factor;

[0047] S3. Construct a weight function for the whole-process engineering consulting service based on the first key factor set, the second key factor set, and the third key factor set: Z = a / A*D1+b / B*D2+c / C*D3, where Z is the weight value of the engineering consulting service, a is the value of at least one first key factor in the first key factor set, A is the total value of the first key factors in the first key factor set, D1 is the weight coefficient of the first key factor, b is the value of at least one second key factor in the second key factor set, B is the total value of the second key factors in the second key factor set, D2 is the weight coefficient of the second key factor, c is the value of at least one third key factor in the third key factor set, C is the total value of the third key factors in the third key factor set, and D3 is the weight coefficient of the third key factor;

[0048] S4. Obtain an engineering consulting service weight value based on the constructed full-process engineering consulting service weight function, and evaluate the engineering project to be consulted based on the obtained engineering consulting service weight value.

[0049] The step of obtaining the matching keyword includes: based on a string comparison program, performing a similarity comparison between the obtained keyword comparison string and at least one keyword string in a preset keyword database, and taking the keyword string with the highest similarity as the matching keyword.

[0050] When marking the bidding materials, project cost materials and construction progress materials, it includes: extracting characteristic values of the bidding materials, project cost materials and construction progress materials respectively, and classifying the bidding materials, project cost materials and construction progress materials respectively according to the extracted characteristic values.

[0051] The extracted feature values are set as marking symbols, and the bidding materials, project cost materials and construction progress materials are marked with symbols based on the marking symbols.

[0052] The bidding information includes bidding documents and technical documents, the construction cost information includes material and equipment purchase lists and staff salary expense lists, and the construction progress information includes real-time construction progress data and phased construction progress data.

[0053] like Figure 2 As shown, a full-process engineering consulting maturity evaluation method also includes the following steps:

[0054] Step 1: Establish a project systematically based on the service type and project consulting service phase scope agreed in the consulting contract;

[0055] Step 2: Based on the project budget or target cost data, plan a professional contract package in combination with the project contracting model;

[0056] Step 3: Calculate the expected rate of return and planned profit margin for the project or professional contract package based on the actual project situation and the agreed terms of the consulting contract, thereby further calculating the human resource cost limit for the project or professional contract package;

[0057] Step 4: Using the professional contract package as the budget object, the consulting phase as the budget cycle, the standardized task content as the basic unit, and the human resource cost limit of the project or professional contract package as the control target, comprehensively plan the standardized task hours required from the start to the end of the project;

[0058] Step 5: Starting with directive management, promptly assign plan and task responsibilities, and implement a feasible daily task plan based on 8 hours of human resources per day.

[0059] Step 6: The person in charge of the task strictly implements the time node plan, and promptly submits the business results and task results documents to the superior for review. The task execution effect data is generated into a performance appraisal report through algorithm design;

[0060] Step 7. After completing the task, the person in charge will apply for second or third level quality review based on the importance of the task. The reviewer will feedback the content that needs to be modified to the person in charge through the system. The person in charge will rework and modify until all the output documents under the task are qualified. The system will compare the content to be modified in the review with the quality evaluation rules and form a performance appraisal report through algorithm design.

[0061] Step 8: With a monthly assessment cycle, task responsibilities are archived according to the basic data catalog planned by the archive manager and the achievement data catalog automatically generated by the system based on task completion. The archive evaluation is designed through an algorithm to form a performance assessment report;

[0062] Step 9. After the project consultation is completed, the project manager will conduct paper archiving according to the directory automatically generated by the system.

[0063] As a further solution of the present invention: a full-process engineering consulting maturity evaluation method includes a consultation request matching step before a customer consults on a full-process engineering project, the consultation request matching step including: generating a consultation service request based on the customer's consultation intention, and obtaining a keyword comparison string based on the consultation service request;

[0064] Preset a keyword database, and perform similarity matching between the obtained keyword comparison string and the keyword strings in the preset keyword database, and use the successfully matched keyword strings as matching keywords;

[0065] Based on the matching keywords, an associated search is performed in the preset consultation database to obtain the corresponding consultation content.

[0066] The performance evaluation system includes project engineer performance evaluation and project manager performance evaluation, including monthly and quarterly performance evaluation of project engineers. Monthly performance evaluation of project engineers includes daily task clearance efficiency, standardization task extension, quality of daily task clearance results documents and timeliness of tasks. Quarterly performance evaluation of project engineers includes data on job responsibility, behavioral norms, foresight ability, plan prediction ability, technical quality satisfaction, progress efficiency satisfaction, service attitude satisfaction, monthly data archiving and workload points.

[0067] The project manager performance includes the project manager's monthly performance, project manager's quarterly performance and project manager's annual performance. The project manager's monthly performance includes daily management efficiency, standardized task extension, results quality spot check, task execution timeliness and project management timeliness.

[0068] Project managers' quarterly performance reports include job responsibilities and behavioral standards.

[0069] The project manager's annual performance includes monthly HR idle time, quality of customer demand interpretation, plan foresight ability, plan prediction ability, technical quality satisfaction, progress efficiency satisfaction, service attitude satisfaction, monthly archiving of electronic materials, average monthly workload points per person, program planning quality, technical guidance quality, rework waste cost, three-level task review and HR structural waste cost.

[0070] In one embodiment, the whole process engineering consulting related data is integrated: the method integrates the bidding data, engineering cost data, construction progress data and other related data, and uploads them to the computer for subsequent processing.

[0071] Mark key factors: Before data processing, the bidding data, project cost data and construction progress data are marked through the data marking program. Among them, the project cost data is marked as the first key factor, the construction progress data is marked as the second key factor, and the bidding data is marked as the third key factor. The specific content of these key factors needs to be set according to actual conditions.

[0072] Construct a weight function for the whole process engineering consulting service: Based on the marked key factors, construct a weight function for the whole process engineering consulting service. This function obtains the weight value of the engineering consulting service through weighted calculation, where the weight coefficient of each key factor is determined by specific needs and actual conditions.

[0073] Acquisition of matching keywords: Through a string comparison program, the obtained keyword comparison string is compared with the keyword strings in a preset keyword database for similarity, and the keyword string with the highest similarity is selected as the matching keyword.

[0074] Marking and classifying data: Extract characteristic values from bidding data, project cost data, and construction progress data, and classify and categorize them based on the extracted characteristic values. These characteristic values can be set as marking symbols, and the data can be marked using symbol marking.

[0075] Performance evaluation system: This method also involves a performance evaluation system, including project engineer performance evaluation and project manager performance evaluation. The project engineer performance evaluation includes monthly performance and quarterly performance, while the project manager performance evaluation includes monthly, quarterly and annual performance. These performance evaluation indicators include efficiency, quality, timeliness, service attitude and other aspects, which are used to evaluate and assess the performance of staff.

[0076] In another embodiment, the whole process engineering consulting related data are integrated: the bidding data, project cost data and construction progress data are integrated and uploaded to the computer, the bidding data include bidding documents and technical documents, the project cost data include material and equipment purchase lists and staff salary expense lists, and the construction progress data include real-time construction progress data and phased construction progress data.

[0077] Mark data and extract eigenvalues: Use the data marking program to mark bidding data, project cost data and construction progress data, and classify them according to the extracted eigenvalues. These marking symbols can be used for subsequent symbol marking and association search.

[0078] Construct a weight function for the whole-process engineering consulting service: Construct a weight function for the whole-process engineering consulting service based on the first key factor, the second key factor and the third key factor. The weight function formula is: Z = a / A*D1+b / B*D2+c / C*D3, where Z is the weight value of this engineering consulting service, and a, A, D1, b, B, D2, c, C, and D3 represent the key factors and weight coefficients respectively.

[0079] Obtaining the weight value of engineering consulting services: Based on the constructed full-process engineering consulting service weight function, calculate and obtain the weight value of engineering consulting services. This weight value can be used to evaluate the engineering project to be consulted.

[0080] Obtaining matching keywords: Obtain matching keywords through the keyword matching step. This step includes generating a consulting service request, obtaining keyword comparison strings, similarity matching, and association search, and finally obtaining the corresponding consulting content.

[0081] Performance evaluation system: The performance evaluation system includes performance evaluations for project engineers and project managers. The monthly performance of project engineers includes indicators such as daily task clearance efficiency, extension of standardized tasks, quality of daily task clearance results documents and timeliness of tasks. The quarterly performance of project engineers includes data such as job responsibility, behavioral norms, foresight in planning, prediction of plans, satisfaction with technical quality, satisfaction with progress efficiency, satisfaction with service attitude, monthly archiving of documents and workload points. The performance evaluation of project managers includes monthly, quarterly and annual performance, covering indicators such as daily task management efficiency, extension of standardized tasks, spot checks on results quality, timeliness of task execution and timeliness of project management.

[0082] In the several embodiments provided in this application, it should be understood that the disclosed terminals, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, 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 interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0083] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. The above is only an implementation method of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of this application, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A full-process engineering consulting maturity evaluation method, characterized by: The method comprises the following steps: S1. Integrate the relevant data of the whole process engineering consultation and upload the relevant data to the computer, including the bidding data, project cost data and construction progress data; S2. Based on the data marking program, mark the bidding documents, project cost documents, and construction progress documents respectively, mark the project cost documents as a first key factor set, mark the construction progress documents as a second key factor set, and mark the bidding documents as a third key factor set, wherein the first key factor set includes at least one first key factor, the second key factor set includes at least one second key factor, and the third key factor set includes at least one third key factor; S3. Construct a weight function for the whole-process engineering consulting service based on the first key factor set, the second key factor set, and the third key factor set: Z = a / A*D1+b / B*D2+c / C*D3, where Z is the weight value of the engineering consulting service, a is the value of at least one first key factor in the first key factor set, A is the total value of the first key factors in the first key factor set, D1 is the weight coefficient of the first key factor, b is the value of at least one second key factor in the second key factor set, B is the total value of the second key factors in the second key factor set, D2 is the weight coefficient of the second key factor, c is the value of at least one third key factor in the third key factor set, C is the total value of the third key factors in the third key factor set, and D3 is the weight coefficient of the third key factor; S4. Obtain an engineering consulting service weight value based on the constructed full-process engineering consulting service weight function, and evaluate the engineering project to be consulted based on the obtained engineering consulting service weight value.

2. A full-process engineering consulting maturity evaluation method according to claim 1, characterized in that: The following steps are also included: Step 1: Establish a project systematically based on the service type and project consulting service phase scope agreed in the consulting contract; Step 2: Based on the project budget or target cost data, plan a professional contract package in combination with the project contracting model; Step 3: Calculate the expected rate of return and planned profit margin for the project or professional contract package based on the actual project situation and the agreed terms of the consulting contract, thereby further calculating the human resource cost limit for the project or professional contract package; Step 4: Using the professional contract package as the budget object, the consulting phase as the budget cycle, the standardized task content as the basic unit, and the human resource cost limit of the project or professional contract package as the control target, comprehensively plan the standardized task hours required from the start to the end of the project; Step 5: Starting with directive management, promptly assign plan and task responsibilities, and implement a feasible daily task plan based on 8 hours of human resources per day. Step 6: The person in charge of the task strictly implements the time node plan, and promptly submits the business results and task results documents to the superior for review. The task execution effect data is generated into a performance appraisal report through algorithm design; Step 7: After completing the task, the task responsible person will apply for second or third level quality review based on the importance of the task. The reviewer will provide feedback to the task responsible person through the system on the content that needs to be modified. The task responsible person will rework and modify until all the output documents under the task are qualified. The system will generate a performance evaluation report based on the content to be modified and the quality evaluation criteria through algorithm design; Step 8: With a monthly assessment cycle, task responsibilities are archived according to the basic data catalog planned by the archive manager and the achievement data catalog automatically generated by the system based on task completion. The archive evaluation is designed through an algorithm to form a performance assessment report; Step 9. After the project consultation is completed, the project manager will conduct paper archiving according to the directory automatically generated by the system.

3. The full-process engineering consulting maturity evaluation method according to claim 1 is characterized by: Before the customer consults on the whole process engineering project, a consultation request matching step is included, wherein the consultation request matching step includes: generating a consultation service request based on the customer's consultation intention, and obtaining a keyword comparison string according to the consultation service request; Preset a keyword database, and perform similarity matching between the obtained keyword comparison string and the keyword strings in the preset keyword database, and use the successfully matched keyword strings as matching keywords; Based on the matching keywords, an associated search is performed in the preset consultation database to obtain the corresponding consultation content.

4. A full-process engineering consulting maturity evaluation method according to claim 1, characterized in that: The step of obtaining the matching keyword includes: based on a string comparison program, performing a similarity comparison between the obtained keyword comparison string and at least one keyword string in a preset keyword database, and taking the keyword string with the highest similarity as the matching keyword.

5. The whole process engineering consulting maturity evaluation method according to claim 1 is characterized in that: When marking the bidding materials, project cost materials and construction progress materials, it includes: extracting characteristic values of the bidding materials, project cost materials and construction progress materials respectively, and classifying the bidding materials, project cost materials and construction progress materials respectively according to the extracted characteristic values.

6. The full-process engineering consulting maturity evaluation method according to claim 1 is characterized by: The extracted feature values are set as marking symbols, and the bidding materials, project cost materials and construction progress materials are marked with symbols based on the marking symbols.

7. The full-process engineering consulting maturity evaluation method according to claim 1 is characterized by: The bidding information includes bidding documents and technical documents, the project cost information includes material and equipment purchase lists and staff salary expense lists, and the construction progress information includes real-time construction progress data and phased construction progress data.

8. The full-process engineering consulting maturity evaluation method according to claim 2 is characterized by: The performance evaluation system includes project engineer performance evaluation and project manager performance evaluation, including monthly and quarterly performance evaluation of project engineers. Monthly performance evaluation of project engineers includes daily task clearance efficiency, standardization task extension, quality of daily task clearance results documents and timeliness of tasks. Quarterly performance evaluation of project engineers includes data on job responsibility, behavioral norms, foresight ability, plan prediction ability, technical quality satisfaction, progress efficiency satisfaction, service attitude satisfaction, monthly data archiving and workload points. The project manager performance includes the project manager's monthly performance, project manager's quarterly performance and project manager's annual performance. The project manager's monthly performance includes daily management efficiency, standardized task extension, results quality spot check, task execution timeliness and project management timeliness.

9. The whole-process engineering consulting maturity evaluation method according to claim 2 is characterized by: Project managers' quarterly performance reports include job responsibilities and behavioral standards.

10. The full-process engineering consulting maturity evaluation method according to claim 2 is characterized by: The project manager's annual performance includes monthly HR idle time, quality of customer demand interpretation, plan foresight ability, plan prediction ability, technical quality satisfaction, progress efficiency satisfaction, service attitude satisfaction, monthly archiving of electronic materials, average monthly workload points per person, program planning quality, technical guidance quality, rework waste cost, three-level task review and HR structural waste cost.