A professional design service intelligent management system

Abstract

The invention discloses an intelligent management system for professional design services, and relates to the technical field of professional design services; an initial design solution set is generated according to a demand document; for each initial design solution, the solution is disassembled to obtain a plurality of sub-solutions; for each sub-solution, a label is generated for the sub-solution to obtain an attribute label of the sub-solution; for each initial design solution, the target personnel allocation of the initial design solution is obtained according to the attribute labels of all sub-solutions; for each initial design solution, a fuzzy decision matrix is ​​constructed according to the target personnel allocation of the initial design solution and the attribute labels of all sub-solutions to finally determine the final solution. After semantic analysis of the demand document is performed, the initial design solution is split into a plurality of sub-solutions, and after the sub-solutions are generated, appropriate personnel are automatically matched from a database according to the target personnel and the attribute labels of the sub-solutions, and finally the best solution is obtained through comprehensive evaluation through the fuzzy decision matrix, thereby improving service efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of professional design services, and in particular relates to an intelligent management system for professional design services. Background Art

[0002] In the current highly competitive and rapidly changing market environment, the professional design service industry is facing unprecedented challenges. As customer needs become increasingly diversified and complex, design teams not only need to meet customers' basic requirements, but also respond to market trends, technological innovations, and the ever-changing customer needs. Customers' expectations are no longer limited to traditional design quality and aesthetic standards. They pay more attention to project flexibility, innovation, delivery speed, and cost control. In the face of these complex demands, design teams must have a high degree of agility and responsiveness so that they can quickly understand customers' visions and transform them into practical design solutions.

[0003] However, traditional demand analysis and project management methods are often inefficient and can easily lead to poor information transmission or misunderstandings, which can delay project progress or cause resource waste. In addition, demand documents from different customers usually lack a unified expression standard, and the content may contain a large number of vague descriptions or unclear requirements, which increases the difficulty of early project demand analysis. When faced with these uncertainties, the team often needs to invest a lot of time and energy in repeated communication and confirmation, which not only wastes precious time, but may also lead to unreasonable allocation of project resources, and even cause resource conflicts, making service inefficient. Summary of the invention

[0004] The purpose of the present invention is to solve the above problems and to propose an intelligent management system for professional design services.

[0005] In the implementation of the present invention, a professional design service intelligent management system is proposed, the system comprising:

[0006] A requirement document analysis module is used to obtain the requirement documents of target customers and generate an initial design solution set based on the requirement documents;

[0007] A disassembly module, for disassembling each initial design solution in the initial design solution set to obtain a plurality of sub-solutions;

[0008] A label generation module is used to obtain all sub-schemes of the initial design scheme to obtain a sub-scheme set, and for each sub-scheme in the sub-scheme set, generate a label for the sub-scheme to obtain an attribute label of the sub-scheme;

[0009] A target personnel allocation module is used to obtain the target personnel allocation of each initial design scheme according to the attribute tags of all sub-schemes;

[0010] The final solution selection module is used to construct a fuzzy decision matrix for each initial design solution according to the target personnel allocation of the initial design solution and the attribute labels of all sub-solutions, and determine the final solution according to the fuzzy decision matrices of all initial design solutions.

[0011] Optionally, the requirement document analysis module includes:

[0012] A semantic analysis module, used to perform word segmentation and sentence analysis on the demand document through natural language processing to obtain budget information and demand information;

[0013] A functional requirement analysis module, used to classify the functional requirements of the requirement information to obtain target functions; the target functions include main functions and additional functions;

[0014] A function search module, used for standardizing the budget information to obtain a target budget, and searching a first preset database and a second preset database according to the target budget and the target function set to obtain a main function implementation solution set and an additional function implementation solution set;

[0015] The initial design solution generation module is used to generate an initial design solution set according to the main function implementation solution set and the additional function implementation solution set.

[0016] Optionally, the disassembly module includes:

[0017] A function module extraction module, for extracting all function modules in each initial design scheme in the initial design scheme set to obtain a function module set;

[0018] The solution decomposition module is used to establish a functional dependency matrix according to the number of the functional module sets, and to decompose the sub-solutions according to the functional dependency matrix to obtain multiple sub-solutions.

[0019] Optionally, the attribute tags include time requirements, price requirements and job level requirements, and the target personnel allocation module includes:

[0020] An operator set generation module is used to search the preset personnel database for the attribute label corresponding to each sub-scheme according to the job level requirement of the attribute label to obtain the operator set;

[0021] The personnel combination screening module is used to obtain, for each initial design plan, the set of operating personnel corresponding to all sub-plans in the initial design plan to obtain the total operating personnel set, and to combine and sort the personnel in the total operating personnel set according to time requirements to obtain a personnel combination allocation plan, and obtain the combination allocation plan with the lowest price as the target personnel allocation.

[0022] Optionally, the personnel combination screening module includes:

[0023] A sub-scheme time determination module is used to construct a time series diagram according to the dependency relationship of all sub-schemes, and determine the start time and end time of each sub-scheme according to the time series diagram;

[0024] A personnel selection module, for selecting the operating personnel according to the sub-schemes on the time series diagram for the total operating personnel set to obtain a preset personnel combination allocation scheme;

[0025] The plan time judgment module is used to obtain the completion time of all sub-plans in the time series to obtain the total time. If the total time meets the preset time condition, the preset personnel combination allocation plan is recorded as the personnel combination allocation plan, otherwise the preset personnel combination allocation plan is recorded as an invalid plan.

[0026] Optionally, the final solution selection module includes:

[0027] A triangular fuzzy number generation module is used to generate an evaluation attribute set for each initial design scheme according to the target personnel allocation and all attribute labels, and to obtain a triangular fuzzy number of each evaluation attribute by evaluating the evaluation attribute set through fuzzy numbers;

[0028] A matrix splicing module is used to obtain all evaluation attributes to obtain a fuzzy decision matrix, and to splice the fuzzy decision matrices of all initial design solutions to obtain a target decision matrix;

[0029] a target coefficient calculation module, configured to obtain a fuzzy positive ideal solution and a fuzzy negative ideal solution according to the target decision matrix, determine a first distance and a second distance of each initial design solution according to the fuzzy positive ideal solution and the fuzzy negative ideal solution, and obtain a target coefficient of the initial design solution according to the first distance and the second distance;

[0030] The final solution determination module is used to obtain the target coefficients of all initial design solutions and take the solution with the highest target coefficient as the final solution.

[0031] Optionally, the target coefficient calculation module includes:

[0032] The attribute standard value calculation module is used to calculate the property standard value for each initial design solution through the formula Get the standard value of each attribute;

[0033] Among them, D ij is the fuzzy evaluation value of the jth attribute in the i-th initial design solution, max(D ij ) is the maximum fuzzy evaluation value, is the standard value of the jth attribute in the i-th initial design;

[0034] Obtain the maximum standard value in each initial design solution to obtain the fuzzy positive ideal solution;

[0035] The minimum standard value in each initial design solution is obtained to obtain the fuzzy negative ideal solution.

[0036] Beneficial effects of the present invention:

[0037] The present invention proposes an intelligent management system for professional design services, comprising a demand document analysis module, which is used to obtain the demand documents of target customers and generate an initial design solution set according to the demand documents; a disassembly module, which is used to disassemble each initial design solution in the initial design solution set to obtain multiple sub-solutions; a label generation module, which is used to obtain the sub-solutions of all the initial design solutions to obtain a sub-solution set, and for each sub-solution in the sub-solution set, label the sub-solution to obtain an attribute label of the sub-solution; a target personnel allocation module, which is used to obtain the target personnel allocation of each initial design solution according to the attribute labels of all sub-solutions; and a final solution selection module, which is used to construct a fuzzy decision matrix for each initial design solution according to the target personnel allocation of the initial design solution and the attribute labels of all sub-solutions, and determine the final solution according to the fuzzy decision matrix of all the initial design solutions. By performing semantic analysis on the requirements document, the system can quickly obtain and analyze customer needs, reduce the risk of human misunderstanding, split the complex initial design plan into multiple sub-plans, enhance the manageability of the plan, and each sub-plan can be optimized independently, reducing the difficulty of project management. After the sub-plan is generated, the target personnel allocation module automatically matches the appropriate personnel from the database according to the attribute label of the sub-plan. It avoids the waste of resources or wrong allocation in traditional manual allocation, improves the utilization rate of resources, and finally obtains the best plan through comprehensive evaluation through the fuzzy decision matrix, so that on the premise of meeting user needs, it also reduces the time and cost investment of the project and improves service efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Figure 1 A framework diagram of a professional design service intelligent management system is provided for an embodiment of the present invention;

[0040] Figure 2 A framework diagram of another professional design service intelligent management system is provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the present invention, the description of "first", "second", etc. is only used for descriptive purposes, and cannot be understood as indicating or implying its relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0042] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0043] The embodiment of the present invention provides an intelligent management system for professional design services. Figure 1 , Figure 1 A framework diagram of a professional design service intelligent management system provided by an embodiment of the present invention. The method comprises the following steps:

[0044] The requirement document analysis module is used to obtain the requirement documents of the target customers and generate an initial design solution set based on the requirement documents;

[0045] A disassembly module, for disassembling each initial design solution in the initial design solution set to obtain multiple sub-solutions;

[0046] A label generation module is used to obtain all sub-schemes of the initial design scheme to obtain a sub-scheme set, and for each sub-scheme in the sub-scheme set, generate a label for the sub-scheme to obtain an attribute label for the sub-scheme;

[0047] A target personnel allocation module is used to obtain the target personnel allocation of each initial design scheme according to the attribute tags of all sub-schemes;

[0048] The final solution selection module is used to construct a fuzzy decision matrix for each initial design solution according to the target personnel allocation of the initial design solution and the attribute labels of all sub-solutions, and determine the final solution according to the fuzzy decision matrices of all initial design solutions.

[0049] Based on the embodiment of the present invention, a professional design service intelligent management system is provided. By performing semantic analysis on the demand documents, the system can quickly obtain and analyze the customer's needs, reduce the risk of human misunderstanding, split the complex initial design plan into multiple sub-plans, enhance the manageability of the plan, and each sub-plan can be optimized independently, reducing the difficulty of project management. After the sub-plan is generated, the target personnel allocation module automatically matches the appropriate personnel from the database according to the attribute label of the sub-plan. It avoids the waste of resources or wrong allocation in traditional manual allocation, improves the utilization rate of resources, and finally obtains the best plan through comprehensive evaluation through the fuzzy decision matrix, so that on the premise of meeting user needs, it also reduces the time and cost investment of the project and improves service efficiency.

[0050] In one implementation, an initial set of design solutions is automatically generated, allowing the team to enter the design phase faster and reduce repeated communication during the demand confirmation process; by decomposing and combining sub-solutions, the team can flexibly respond to changes in demand and ensure that the project is more flexible; the label generation module generates attribute labels such as time, price, and job level for each sub-solution, allowing the project team to analyze and make decisions based on clear attributes, thereby improving service efficiency.

[0051] In one implementation, the target personnel allocation module automatically matches the appropriate personnel from the database according to the attribute tags of the sub-scheme. This avoids the waste of resources or incorrect allocation in traditional manual allocation and improves the utilization rate of resources. Through the fuzzy decision matrix, multi-dimensional factors such as time, cost, personnel and quality are quantified and comprehensively evaluated. Systematic decision support reduces the deviation of subjective judgment; modular disassembly and the use of attribute tags make the collaborative work between multiple teams and departments smoother, reduce the communication and management costs in the collaborative process, and improve the processing efficiency of the scheme.

[0052] In one embodiment, see Figure 2 , the requirements document analysis module includes:

[0053] Semantic analysis module, used to perform word segmentation and sentence parsing on demand documents through natural language processing to obtain budget information and demand information;

[0054] Functional requirement analysis module, used to classify the functional requirements of the requirement information to obtain the target function;

[0055] A function search module, used to standardize the budget information to obtain a target budget, and search the first preset database and the second preset database according to the target budget and the target function set to obtain a main function implementation solution set and an additional function implementation solution set;

[0056] The initial design solution generation module is used to generate an initial design solution set based on a main function implementation solution set and an additional function implementation solution set.

[0057] In one implementation, the semantic analysis module is used to segment and parse customer demand documents, so that only sentences containing requirements are retrieved, reducing the amount of data to be retrieved, and budget information and specific demand information can be quickly identified, reducing the time cost and risk of misunderstanding brought by traditional manual analysis, and ensuring the accuracy of demand information extraction.

[0058] In one implementation method, complex requirements are classified by function, making the project easier to break down and track, improving the transparency and controllability of the project, and facilitating the team to advance the plan in an orderly manner according to priority.

[0059] In one implementation method, the target functions include main functions and additional functions. The main functions are the core functions that the customer explicitly requires to be implemented, and the additional functions are secondary requirements mentioned by the customer, or optional functions that meet expectations but do not affect the delivery of the project.

[0060] In one implementation, the first preset database is a database for storing data for implementing the main function, and the second preset database is a database for storing data for implementing the additional function.

[0061] In one implementation, budget information is standardized through a functional search module to ensure that budgets for different projects can be processed and compared in a unified format, avoiding management confusion caused by inconsistent budget expressions and improving the accuracy of solution generation; by searching data to determine the solution set, the time for manual search and screening of solutions is saved, work efficiency is improved, and the risk of mismatch is reduced.

[0062] In one embodiment, the disassembly module includes:

[0063] A function module extraction module is used to extract all function modules in each initial design scheme in the initial design scheme set to obtain a function module set;

[0064] The solution decomposition module is used to establish a functional dependency matrix according to the number of functional module sets, and to decompose the sub-solutions according to the functional dependency matrix to obtain multiple sub-solutions.

[0065] In one implementation method, each initial design plan is broken down into independent functional modules, making the design plan easier to understand and manage. The team can more clearly identify the functions and responsibilities of each module. All functional modules in the initial design plan here are to implement all the functions of the initial design plan; a functional dependency matrix is ​​established based on the relationship between functional modules, which can fully understand the dependencies between functions, avoid conflicts or omissions during implementation, and improve the controllability of the overall project.

[0066] In one implementation, each row and column in the matrix represents a functional module, and the numerical value in the matrix indicates the degree of dependency between two functions. By breaking down the project into multiple sub-projects, the team can assign different sub-projects to different members or groups for parallel development, which can greatly improve the project development speed and shorten the delivery cycle.

[0067] In one embodiment, the attribute tags include time requirements, price requirements, and job level requirements, and the target personnel allocation module includes:

[0068] An operator set generation module is used to search the preset personnel database for the attribute label corresponding to each sub-scheme according to the job level requirement of the attribute label to obtain the operator set;

[0069] The personnel combination screening module is used to obtain the set of operating personnel corresponding to all sub-plans in each initial design plan to obtain the total operating personnel set, and to combine and sort the personnel in the total operating personnel set according to time requirements to obtain a personnel combination allocation plan, and obtain the combination allocation plan with the lowest price and record it as the target personnel allocation.

[0070] In one implementation method, attribute tags are used to accurately find personnel that meet project requirements, ensuring that project tasks are completed by personnel with appropriate skills and qualifications, thereby improving project quality; the system uses a personnel combination screening module to select the personnel combination plan that can complete the task within the time requirement and has the lowest cost, thereby minimizing labor costs, avoiding waste of resources, and improving the economy and competitiveness of the project.

[0071] In one implementation, priority is given to selecting personnel combinations that can complete tasks on time based on the project's time requirements to ensure that key nodes are not affected, that the project proceeds as planned, and that progress delays caused by improper personnel scheduling are reduced; the lowest price is obtained for each operator, and the operator combination is calculated to have the lowest price that is less than the quotation given by the plan.

[0072] In one implementation, job level requirements are used to ensure that important tasks are assigned to experienced personnel, reducing the risks caused by improper personnel assignment, improving the reliability of task completion, reducing errors and rework, and ensuring high-quality project delivery.

[0073] In one embodiment, the personnel combination screening module includes:

[0074] The sub-scheme time determination module is used to construct a time series diagram according to the dependency relationship of all sub-schemes, and determine the start time and end time of each sub-scheme according to the time series diagram;

[0075] The personnel selection module is used to select the operating personnel according to the sub-schemes on the time series diagram for the total operating personnel set to obtain a preset personnel combination allocation scheme;

[0076] The plan time judgment module is used to obtain the completion time of all sub-plans in the time series to obtain the total time. If the total time meets the preset time condition, the preset personnel combination allocation plan is recorded as the personnel combination allocation plan, otherwise the preset personnel combination allocation plan is recorded as an invalid plan.

[0077] In one implementation, the start and end time of each sub-plan is clearly defined to clearly display the execution order and time nodes of each sub-plan, avoid task overlap or omission, and ensure that the project proceeds as planned. The personnel selection module matches appropriate personnel to execute each sub-plan based on the time series diagram, avoids personnel scheduling conflicts, ensures that key tasks have appropriate manpower support within the required time, and improves personnel utilization efficiency.

[0078] In one implementation, the workers are selected according to the sub-plans on the time series graph to obtain a preset personnel combination allocation plan. First, the worker who meets the first sub-plan on the time series graph is selected, and then the person is removed from the total worker set, and then the worker for the next sub-plan is selected, until the selection of workers for all sub-plans is completed.

[0079] In one implementation method, the completion time of all sub-plans is summarized and it is determined whether the total time meets the preset project cycle, so as to promptly discover the risk of time exceeding, avoid project delays, and ensure delivery within the time specified by the customer; the preset cycle is the completion deadline of the entire plan.

[0080] In one embodiment, the final solution selection module includes:

[0081] A triangular fuzzy number generation module is used to generate an evaluation attribute set for each initial design scheme according to the target personnel allocation and all attribute labels, and to obtain a triangular fuzzy number for each evaluation attribute by evaluating the evaluation attribute set through fuzzy numbers;

[0082] A matrix splicing module is used to obtain all evaluation attributes to obtain a fuzzy decision matrix, and to splice the fuzzy decision matrices of all initial design solutions to obtain a target decision matrix;

[0083] a target coefficient calculation module, used for obtaining a fuzzy positive ideal solution and a fuzzy negative ideal solution according to a target decision matrix, determining a first distance and a second distance of each initial design solution according to the fuzzy positive ideal solution and the fuzzy negative ideal solution, and obtaining a target coefficient of the initial design solution according to the first distance and the second distance;

[0084] The final solution determination module is used to obtain the target coefficients of all initial design solutions and take the solution with the highest target coefficient as the final solution.

[0085] In one implementation, fuzzy numbers are generated by evaluating attributes, which can better handle uncertainty and ambiguity. When faced with complex project requirements, fuzzy numbers can more accurately reflect the actual conditions of each attribute and improve the scientific nature of decision-making; all evaluation attributes are integrated into a fuzzy decision matrix, which provides a systematic evaluation framework, making the decision-making process more organized and convenient for managers to comprehensively compare and analyze different plans; the fuzzy decision matrix is ​​spliced ​​with the first plan as the first row and the second plan as the second row, and then spliced ​​in sequence.

[0086] In one implementation, fuzzy positive ideal solutions and negative ideal solutions are used to provide a clear evaluation benchmark for each solution, thereby identifying the best and worst solutions among multiple options and reducing the uncertainty of decision-making.

[0087] In one implementation, the first distance is obtained by calculating the distance between each design solution and the fuzzy positive ideal solution using a fuzzy distance formula, and the second distance is obtained by calculating the distance between each design solution and the fuzzy negative ideal solution using a fuzzy distance formula.

[0088] In one embodiment, the target coefficient calculation module includes:

[0089] The attribute standard value calculation module is used to calculate the property standard value for each initial design solution through the formula Get the standard value of each attribute;

[0090] Among them, D ij is the fuzzy evaluation value of the jth attribute in the i-th initial design solution, max(D ij ) is the maximum fuzzy evaluation value, is the standard value of the jth attribute in the i-th initial design;

[0091] Obtain the maximum standard value in each initial design solution to obtain the fuzzy positive ideal solution;

[0092] The minimum standard value in each initial design solution is obtained to obtain the fuzzy negative ideal solution.

[0093] In one implementation, the fuzzy evaluation value of each attribute is standardized through a formula to ensure that the data between different initial design schemes can be uniformly compared, avoid evaluation bias caused by differences in attribute scales or evaluation methods, and make comparisons between schemes more fair and scientific; find the maximum and minimum values ​​of each scheme based on the standard value, which are used as the positive ideal solution and negative ideal solution respectively, to help the team identify which schemes are close to the optimal state.

[0094] In one implementation, the standard value calculation provides data support for subsequent fuzzy positive ideal solutions and negative ideal solutions, which helps to optimize resource allocation and select the best solution.

[0095] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A professional design service intelligent management system, characterized in that: The system comprises: A requirement document analysis module is used to obtain the requirement documents of target customers and generate an initial design solution set based on the requirement documents; A disassembly module, for disassembling each initial design solution in the initial design solution set to obtain a plurality of sub-solutions; A label generation module is used to obtain sub-schemes of all initial design schemes to obtain a sub-scheme set, and for each sub-scheme in the sub-scheme set, generate a label for the sub-scheme to obtain an attribute label for the sub-scheme; A target personnel allocation module is used to obtain the target personnel allocation of each initial design scheme according to the attribute tags of all sub-schemes; The final solution selection module is used to construct a fuzzy decision matrix for each initial design solution according to the target personnel allocation of the initial design solution and the attribute labels of all sub-solutions, and determine the final solution according to the fuzzy decision matrices of all initial design solutions.

2. According to claim 1, a professional design service intelligent management system is characterized in that: The requirement document analysis module includes: A semantic analysis module, used to perform word segmentation and sentence analysis on the demand document through natural language processing to obtain budget information and demand information; A functional requirement analysis module, used to classify the functional requirements of the requirement information to obtain target functions; the target functions include main functions and additional functions; A function search module, used for standardizing the budget information to obtain a target budget, and searching a first preset database and a second preset database according to the target budget and the target function set to obtain a main function implementation solution set and an additional function implementation solution set; The initial design solution generation module is used to generate an initial design solution set according to the main function implementation solution set and the additional function implementation solution set.

3. According to claim 1, a professional design service intelligent management system is characterized in that: The disassembly module comprises: A function module extraction module, for extracting all function modules in each initial design scheme in the initial design scheme set to obtain a function module set; The solution decomposition module is used to establish a functional dependency matrix according to the number of the functional module sets, and to decompose the sub-solutions according to the functional dependency matrix to obtain multiple sub-solutions.

4. According to claim 1, a professional design service intelligent management system is characterized in that: The attribute tags include time requirements, price requirements and job level requirements, and the target personnel allocation module includes: An operator set generation module is used to search the preset personnel database for the attribute label corresponding to each sub-scheme according to the job level requirement of the attribute label to obtain the operator set; The personnel combination screening module is used to obtain, for each initial design plan, the set of operating personnel corresponding to all sub-plans in the initial design plan to obtain the total operating personnel set, and to combine and sort the personnel in the total operating personnel set according to time requirements to obtain a personnel combination allocation plan, and obtain the combination allocation plan with the lowest price as the target personnel allocation.

5. According to claim 4, a professional design service intelligent management system is characterized in that: The personnel combination screening module includes: A sub-scheme time determination module is used to construct a time series diagram according to the dependency relationship of all sub-schemes, and determine the start time and end time of each sub-scheme according to the time series diagram; A personnel selection module, for selecting the operating personnel according to the sub-schemes on the time series diagram for the total operating personnel set to obtain a preset personnel combination allocation scheme; The plan time judgment module is used to obtain the completion time of all sub-plans in the time series to obtain the total time. If the total time meets the preset time condition, the preset personnel combination allocation plan is recorded as the personnel combination allocation plan, otherwise the preset personnel combination allocation plan is recorded as an invalid plan.

6. According to claim 1, a professional design service intelligent management system is characterized in that: The final solution selection module includes: A triangular fuzzy number generation module is used to generate an evaluation attribute set for each initial design scheme according to the target personnel allocation and all attribute labels, and to obtain a triangular fuzzy number of each evaluation attribute by evaluating the evaluation attribute set through fuzzy numbers; A matrix splicing module is used to obtain all evaluation attributes to obtain a fuzzy decision matrix, and to splice the fuzzy decision matrices of all initial design solutions to obtain a target decision matrix; a target coefficient calculation module, configured to obtain a fuzzy positive ideal solution and a fuzzy negative ideal solution according to the target decision matrix, determine a first distance and a second distance of each initial design solution according to the fuzzy positive ideal solution and the fuzzy negative ideal solution, and obtain a target coefficient of the initial design solution according to the first distance and the second distance; The final solution determination module is used to obtain the target coefficients of all initial design solutions and take the solution with the highest target coefficient as the final solution.

7. A professional design service intelligent management system according to claim 6, characterized in that: The target coefficient calculation module includes: The attribute standard value calculation module is used to calculate the property standard value for each initial design solution through the formula Get the standard value of each attribute; Among them, D ij is the fuzzy evaluation value of the jth attribute in the i-th initial design solution, max(D ij ) is the maximum fuzzy evaluation value, is the standard value of the jth attribute in the i-th initial design; Obtain the maximum standard value in each initial design solution to obtain the fuzzy positive ideal solution; The minimum standard value in each initial design solution is obtained to obtain the fuzzy negative ideal solution.

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