AI project management optimization system based on artificial intelligence

Abstract

The invention discloses an AI project management optimization system based on artificial intelligence, and relates to the technical field of project management, and the system comprises a project optimization module, a quality evaluation module, a character analysis module, a project characteristic analysis module and a personality matching module, and also comprises a completion degree division module and a reward adjustment module. The system has the advantages that the scheme can be modified through the project characteristic analysis module in combination with project directions skilled by different character traits, reasonable distribution of project tasks is realized according to the character traits of employees, the working efficiency is improved, the character traits lacked in the traits distribution scheme can be better analyzed by utilizing the project characteristic analysis module, and the project distribution efficiency is improved. According to the scheme, the most suitable employees are distributed for the project, the personality advantages of the employees are fully exerted, the personality matching module analyzes the execution time of different sub-project schemes and marks the matched employees, the employees are prevented from being repeatedly marked, and reasonable utilization of human resources is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to an AI project management optimization system based on artificial intelligence. Background Art

[0002] Project management refers to the process of applying specialized knowledge, skills, tools and methods in project activities so that the project can achieve or exceed the set requirements and expectations under the conditions of limited resources. Project management has a significant impact on enterprises. Project management is a branch of management science. The definition of project management is: it refers to the process of applying specialized knowledge, skills, tools and methods in project activities so that the project can achieve or exceed the set requirements and expectations under the conditions of limited resources. Project management is the overall monitoring and control of some activities (such as tasks) related to the successful achievement of a series of goals. This includes planning, scheduling and maintaining the progress of the activities that make up the project;

[0003] When using common project management optimization systems, it is difficult to make targeted modifications to the plan based on personality traits, which may result in the plan being unable to fully utilize the advantages of employees with different personalities, thereby reducing work efficiency and easily leading to unreasonable task allocation, affecting project progress and quality. To this end, we propose an AI project management optimization system based on artificial intelligence. Summary of the invention

[0004] The purpose of the present invention is to provide an AI project management optimization system based on artificial intelligence.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: an AI project management optimization system based on artificial intelligence, comprising a collection module, which can collect project information of an enterprise and generate an original plan, and also comprising a project optimization module, a quality assessment module, a personality analysis module, a project characteristic analysis module and a personality matching module;

[0006] The project optimization module optimizes the collected project information and generates an optimization plan;

[0007] The quality assessment module assesses the quality of the original plan and the optimized plan, compares the original plan and the optimized plan, and transmits the plan with better quality to the project characteristic analysis module;

[0008] The personality analysis module collects the internal employee information of the enterprise and formulates a personality trait questionnaire generation unit. The personality trait questionnaire generation unit is used to test the personality traits of the employees within the enterprise, and the detected personality trait information is recorded in the corresponding employee information to generate trait employee information;

[0009] The project characteristic analysis module collects information about project executors, generates an initial execution allocation plan, obtains project directions that different personality traits are good at, divides project information, generates sub-project information, analyzes personality trait information suitable for executing sub-project information, and modifies the initial execution allocation plan based on it to generate a trait allocation plan;

[0010] The personality matching module extracts the content of trait employee information, analyzes the missing personality traits in the trait allocation plan information, and analyzes the time when different sub-project plan information is executed, and then marks the employee with the matched tags within the time period to avoid the employee being marked repeatedly.

[0011] As a further solution of the present invention: it also includes a completion degree division module and a reward adjustment module;

[0012] The completion degree division module can record the sub-project information executed by different employees in the project, and then calculate the completion degree of different employees in the project to generate project labor data;

[0013] The reward adjustment module will adjust employees' rewards based on project labor data to increase employees' enthusiasm for project execution.

[0014] As a further solution of the present invention: when the project optimization module optimizes the collected project information, it will use Workt ile and Jira to optimize the project information and establish an information correction unit. The information correction unit includes a standard correction column and an exclusive correction column. The exclusive correction column has a default permission. When selecting, the exclusive correction column will be displayed as the main and the standard correction column as the auxiliary. Then, the error information in the project information will be marked by using Jufa Proofreading Master, Digg.net and the information correction unit, and the error information will be recorded in the information correction unit;

[0015] The standard correction column can directly call up the information in the information correction unit, and then directly mark the wrong information in the project information;

[0016] After directly calling up the information in the information correction unit, the exclusive correction column can delete and add the erroneous information recorded in the exclusive correction column, and then the erroneous information in the project information will be marked for correction after confirmation.

[0017] As a further solution of the present invention: when the quality assessment module performs quality assessment on the original plan and the optimized plan, it will first conduct a comprehensive assessment on the project goal achievement, project quality, project schedule management, project cost management, project risk management and other information affecting the project quality of the original plan, thereby calculating the quality index of the original plan, and then formulate a quality threshold based on the quality index of the original plan. At this time, the optimized plan is comprehensively evaluated to calculate the quality index of the optimized plan. Let the project goal achievement assessment be X 目标 , let the project quality assessment be X 质量 , let the project progress management evaluation be X 进度 , let the project cost management assessment be X 成本 , let the project risk management assessment be X 风险 , let other information affecting project quality assessment be X G , let the number of other information affecting project quality be P, let the quality threshold be Z 阈值 ;

[0018]

[0019] The quality threshold can be calculated according to the above formula. After the quality value of the optimization scheme is evaluated, analyze whether the quality index of the optimization scheme is higher than the quality threshold. Let the quality index of the optimization scheme be Y 优化 ;

[0020] When Y 优化 >Z 阈值 When the optimization plan is transferred to the project characteristics analysis module;

[0021] When Y 优化 =Z 阈值 When the original solution is optimized, it will be transferred to the project characteristics analysis module;

[0022] When Y 优化 <Z 阈值 When the original plan is transferred to the project characteristics analysis module.

[0023] As a further solution of the present invention: the personality analysis module will establish an interval retest function when formulating the personality trait questionnaire generation unit, so as to generate a personality trait questionnaire for the employee again at an interval set time, and conduct a comprehensive assessment of the employee's personality in combination with the previous personality trait questionnaire, update the recorded employee personality traits in real time, and analyze the priority index of the employee according to the number of times the employee continuously answers the personality trait questionnaire, and then set a basic threshold and a leading threshold for the priority index;

[0024] When the priority index falls below the basic threshold, the employee is classified into the basic level;

[0025] When the priority index is higher than the basic threshold but lower than the leading threshold, the employee will be classified into the leading level;

[0026] When the priority index is above the leading threshold, the employee is classified into the priority group;

[0027] Priority indexes are used to rank employees by priority, so that projects can be allocated first to employees with high priority. When an employee fails to answer the personality trait questionnaire in a timely manner, the employee's priority index will be lowered and the employee's priority will be re-evaluated.

[0028] As a further solution of the present invention: after generating the initial execution allocation plan, the project characteristic analysis module extracts the personality trait information of the executor from the initial execution allocation plan, and the personality trait information of the sub-project information is X Z , let the number of personality traits of the sub-project information be L, let the total personality traits information required to execute the project be Z 全 ;

[0029]

[0030] According to the above formula, all the personality trait information needed to execute the project can be calculated.

[0031] As a further solution of the present invention: the personality matching module can receive information processed by the project characteristic analysis module, and after calculating all the personality trait information required for executing the project, it will calculate the personality trait information missing in the initial execution allocation plan based on all the personality trait information required for executing the project. Let the personality trait information missing in the initial execution allocation plan be Q 缺少 , let the personality trait information of all executors in the initial execution allocation plan be Z 初始 ;

[0032]

[0033] According to the above formula, the missing personality trait information in the initial execution allocation plan can be calculated, and then the missing personality trait information can be allocated according to the trait employee information, and then the sub-project information can be allocated to employees within the enterprise.

[0034] As a further solution of the present invention: when calculating the completion degree of an employee in a project, the completion division module will extract the proportion of the sub-project information executed by the employee in the overall project, and collect the number of employees who can execute the sub-project information, and generate project labor data based on the number of employees who can execute the sub-project information and the proportion of the sub-project information in the overall project.

[0035] As a further solution of the present invention: the reward adjustment module can receive the information processed by the completion degree division module, and then calculate the reward degree according to the project labor data, assuming that the employee's basic reward is J 基础 , let the total reward be B 总 , let the proportion of sub-project information in the overall project be Z 比重 , let the number of employees who can execute sub-project information be Z 数量 , let the actual reward be S 奖励 ;

[0036]

[0037] The actual reward can be calculated according to the above formula.

[0038] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0039] 1. The present invention can modify the plan by combining the project directions that different personality traits are good at through the project characteristic analysis module, realize the reasonable allocation of project tasks according to the personality traits of employees, and improve work efficiency. The project characteristic analysis module can better analyze the personality traits missing in the trait allocation plan, allocate the most suitable employees to the project, and give full play to the personality advantages of employees. The personality matching module analyzes the execution time of different sub-project plans and marks the matched employees to avoid employees being marked repeatedly, ensuring the reasonable use of human resources, and can adjust rewards according to the actual contributions of employees, and accurately evaluate the contribution of employees to the project;

[0040] 2. The present invention can mark and process project error information through the project optimization module, thereby improving processing efficiency. The exclusive correction column can be deleted and added after retrieving information, ensuring that error information processing is more accurate and flexible. The quality assessment module can accurately determine whether the optimization plan is better than the original plan, providing a basis for selecting a better plan, which is helpful to improve the overall quality of the project. The personality analysis module can update employee personality traits in real time, which can improve the efficiency and effectiveness of project execution, encourage employees to actively participate in personality trait assessment, and ensure the fairness and rationality of project allocation;

[0041] 3. The present invention can analyze all personality trait information required for executing the project through the project characteristic analysis module, providing a comprehensive and accurate basis for subsequent task allocation. The personality matching module can accurately allocate sub-project information to the most suitable employees within the enterprise, give full play to the personality advantages of employees, and improve the efficiency and quality of project execution. The completion degree division module can objectively reflect the actual contribution of employees in the project. The reward adjustment module makes the reward more fair and reasonable, which can effectively motivate employees to actively participate in the project, improve their work enthusiasm and the overall completion of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Schematic diagram of the system flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0044] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0045] Embodiment 1:

[0046] Therefore, in order to effectively solve the above problems, this application proposes an AI project management optimization system based on artificial intelligence, as shown in the accompanying drawings of the specification. Figure 1 As shown, it includes a collection module, which can collect the project information of the enterprise and generate an original plan, and also includes a project optimization module, a quality assessment module, a personality analysis module, a project characteristic analysis module and a personality matching module;

[0047] The project optimization module optimizes the collected project information and generates an optimization plan;

[0048] Introduce other advanced project management tools and technologies, such as Agile project management methods, Six Sigma quality management, etc.;

[0049] The quality assessment module assesses the quality of the original plan and the optimized plan, compares the original plan and the optimized plan, and transmits the plan with better quality to the project characteristic analysis module;

[0050] Introducing indicators such as customer satisfaction and employee satisfaction, through comprehensive evaluation of these indicators, more comprehensive measurement of the quality of the program, providing a stronger basis for selecting the best program;

[0051] The personality analysis module collects the internal employee information of the enterprise and formulates a personality trait questionnaire generation unit. The personality trait questionnaire generation unit is used to test the personality traits of the employees within the enterprise, and the detected personality trait information is recorded in the corresponding employee information to generate trait employee information;

[0052] Dynamic adjustments can be made based on the actual performance of employees in the project. For example, if an employee shows different personality traits in a project, the assessment of his personality traits can be adjusted in time to make the employee information more accurate.

[0053] The project characteristic analysis module collects information about project executors, generates an initial execution allocation plan, obtains project directions that different personality traits are good at, divides project information, generates sub-project information, analyzes personality trait information suitable for executing sub-project information, and modifies the initial execution allocation plan based on it to generate a trait allocation plan;

[0054] Considering factors such as the technical difficulty and degree of innovation of the project, the trait allocation plan is more in line with the actual needs of the project;

[0055] The personality matching module extracts the content of the trait employee information, analyzes the missing personality traits in the trait allocation plan information, and analyzes the time when different sub-project plan information is executed, and then marks the employee with the matched tags within the time period to avoid the employee being marked repeatedly;

[0056] It also includes a completion degree division module and a reward adjustment module;

[0057] The completion degree division module can record the sub-project information executed by different employees in the project, and then calculate the completion degree of different employees in the project to generate project labor data;

[0058] The reward adjustment module will adjust employee rewards based on project labor data to increase employee enthusiasm for project execution;

[0059] Specific workflow: Collect the enterprise's project information, generate the original plan, optimize the collected project information, generate the optimized plan, compare the original plan and the optimized plan, transfer the plan with better quality to the project characteristic analysis module, formulate a personality trait questionnaire generation unit, conduct personality trait detection on employees within the enterprise, generate trait employee information, generate an initial execution allocation plan, divide the project information, generate sub-project information, modify the initial execution allocation plan, generate a trait allocation plan, analyze the missing personality traits in the trait allocation plan information, determine the time when different sub-project plan information is executed, and then mark the employee with the matched tag within the time period, record the sub-project information executed by different employees in the project, generate project labor data, and adjust the employee's rewards according to the project labor data;

[0060] Furthermore, through the project characteristic analysis module, the plan can be modified in combination with the project directions that different personality traits are good at, and the reasonable allocation of project tasks can be achieved according to the personality traits of employees, thereby improving work efficiency. The project characteristic analysis module can better analyze the personality traits missing in the trait allocation plan, allocate the most suitable employees to the project, and give full play to the personality advantages of employees. The personality matching module analyzes the execution time of different sub-project plans and marks the matched employees to avoid employees being marked repeatedly, ensuring the rational use of human resources, and can adjust rewards according to the actual contributions of employees and accurately evaluate the contribution of employees to the project.

[0061] Embodiment 2:

[0062] Based on the first embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, when the project optimization module optimizes the collected project information, it will use Workt ile and Jira to optimize the project information and establish an information correction unit. The information correction unit includes a standard correction column and an exclusive correction column. The exclusive correction column has default permissions. When selecting, the exclusive correction column will be displayed as the main and the standard correction column as the auxiliary. Then, the Jufa Proofreading Master, Digger.com and the information correction unit will be used to mark the erroneous information in the project information, and the erroneous information will be recorded in the information correction unit;

[0063] The standard correction column can directly call up the information in the information correction unit, and then directly mark the wrong information in the project information;

[0064] After directly calling the information in the information correction unit, the exclusive correction column can delete and add the erroneous information recorded in the exclusive correction column, and then the erroneous information in the project information will be corrected after confirmation;

[0065] When the quality assessment module conducts quality assessment on the original plan and the optimized plan, it will first conduct a comprehensive assessment on the original plan's project goal achievement, project quality, project schedule management, project cost management, project risk management, and other information that affects project quality, thereby calculating the quality index of the original plan. Then, the quality threshold is set based on the quality index of the original plan. At this time, the optimized plan is comprehensively evaluated and the quality index of the optimized plan is calculated. Let the project goal achievement assessment be X 目标 , let the project quality assessment be X 质量 , let the project progress management evaluation be X 进度 , let the project cost management assessment be X 成本 , let the project risk management assessment be X 风险 , let other information affecting project quality assessment be X G, let the number of other information affecting project quality be P, let the quality threshold be Z 阈值 ;

[0066]

[0067] The quality threshold can be calculated according to the above formula. After the quality value of the optimization scheme is evaluated, analyze whether the quality index of the optimization scheme is higher than the quality threshold. Let the quality index of the optimization scheme be Y 优化 ;

[0068] When Y 优化 >Z 阈值 When the optimization plan is transferred to the project characteristics analysis module;

[0069] When Y 优化 =Z 阈值 When the original solution is optimized, it will be transferred to the project characteristics analysis module;

[0070] When Y 优化 <Z 阈值 When the original plan is transferred to the project characteristics analysis module;

[0071] Establish a dynamic adjustment mechanism for quality assessment, and adjust the indicators and weights of quality assessment in real time according to the progress of the project and actual needs. At different stages of the project, the key assessment indicators may be different and need to be adjusted in a timely manner;

[0072] When formulating the personality trait questionnaire generation unit, the personality analysis module will establish an interval retest function, so that the personality trait questionnaire will be generated for the employee again at a set interval, and the employee's personality will be comprehensively evaluated in combination with the previous personality trait questionnaires. The recorded employee personality traits will be updated in real time, and the priority index will be analyzed according to the number of times the employee continuously answers the personality trait questionnaire, and then the basic threshold and leading threshold will be set for the priority index;

[0073] When the priority index falls below the basic threshold, the employee is classified into the basic level;

[0074] When the priority index is higher than the basic threshold but lower than the leading threshold, the employee will be classified into the leading level;

[0075] When the priority index is above the leading threshold, the employee is classified into the priority group;

[0076] Use the priority index to divide the priority levels of employees, so that projects can be allocated to employees with high priority levels first. If an employee fails to answer the personality trait questionnaire in time, the priority index of the employee will be lowered, and then the priority level of the employee will be re-determined;

[0077] Comprehensively evaluate employees' work ability, performance, teamwork ability and other factors. At the same time, set different weights and coefficients for priority indexes to adapt to different project needs and team structures;

[0078] Develop personalized development plans and training programs for employees based on their personality traits and priorities. Through targeted training and development, help employees enhance their personality strengths, make up for their personality deficiencies, and improve work efficiency and performance

[0079] Specific workflow: optimize project information, establish an information correction unit, use the polymethod proofreading master, error-finding network and information correction unit to mark erroneous information in project information, and record the erroneous information in the information correction unit, conduct a comprehensive evaluation of the original plan, calculate the quality index of the original plan, set the quality threshold based on the quality index of the original plan, conduct a comprehensive evaluation of the optimized plan, calculate the quality index of the optimized plan, analyze whether the quality index of the optimized plan is higher than the quality threshold, establish an interval retest function, conduct a comprehensive assessment of employee personality in combination with previous personality trait questionnaires, update the recorded employee personality traits in real time, set the basic threshold and leading threshold for the priority index, and determine the priority level of the employee's priority index;

[0080] Furthermore, the project optimization module can mark project error information, improving processing efficiency. The exclusive correction column can be deleted and added after retrieving information, ensuring more accurate and flexible error information processing. The quality assessment module can accurately determine whether the optimization plan is better than the original plan, providing a basis for selecting a better plan and helping to improve the overall quality of the project. The personality analysis module can update employee personality traits in real time, improving the efficiency and effectiveness of project execution, prompting employees to actively participate in personality trait assessments, and ensuring fairness and rationality in project allocation.

[0081] Embodiment three:

[0082] Based on the second embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown in the figure, after generating the initial execution allocation plan, the project characteristic analysis module will extract the personality trait information of the executor from the initial execution allocation plan. Let the personality trait information of the sub-project information be X Z , let the number of personality traits of the sub-project information be L, let the total personality traits information required to execute the project be Z 全 ;

[0083]

[0084] According to the above formula, all the personality trait information needed to execute the project can be calculated;

[0085] By analyzing the strengths and weaknesses of people with different personality traits in mastering and applying specific skills, we can further optimize the calculation of personality trait information required to execute projects;

[0086] The personality matching module can receive the information processed by the project characteristic analysis module. After calculating all the personality trait information required for executing the project, it will calculate the personality trait information missing in the initial execution allocation plan based on all the personality trait information required for executing the project. Let the personality trait information missing in the initial execution allocation plan be Q 缺少 , let the personality trait information of all executors in the initial execution allocation plan be Z 初始 ;

[0087]

[0088] According to the above formula, the missing personality trait information in the initial execution allocation plan can be calculated, and then the missing personality trait information can be allocated according to the trait employee information, and then the sub-project information can be allocated to employees within the enterprise;

[0089] Considering factors such as employees' interests, career development goals, and teamwork experience, an employee with innovative personality traits and a keen interest in new technologies can be assigned to a sub-project involving cutting-edge technology research and development on a priority basis;

[0090] Collect employees' feedback on the assignment results. If an employee thinks that the assigned sub-project does not match his or her personality traits or is difficult to complete, the assignment plan can be adjusted in a timely manner;

[0091] When calculating the completion degree of an employee in a project, the completion degree division module extracts the proportion of the sub-project information executed by the employee in the overall project, collects the number of employees who can execute the sub-project information, and generates project labor data based on the number of employees who can execute the sub-project information and the proportion of the sub-project information in the overall project;

[0092] Completion degree should be divided according to the progress of the project. For sub-projects that are behind schedule, their weight in the completion degree calculation can be appropriately increased to encourage the project team to pay more attention to these key links and ensure that the project is completed on time;

[0093] The reward adjustment module can receive the information processed by the completion division module, and then calculate the reward level based on the project labor data. Suppose the employee's basic reward is J 基础 , let the total reward be B 总 , let the proportion of sub-project information in the overall project be Z 比重 , let the number of employees who can execute sub-project information be Z 数量 , let the actual reward be S 奖励 ;

[0094]

[0095] The actual reward can be calculated according to the above formula;

[0096] Specific workflow: extract the personality trait information of the executor, calculate all the personality trait information required to execute the project, calculate the missing personality trait information in the initial execution allocation plan based on all the personality trait information required to execute the project, allocate the missing personality trait information, and then allocate the sub-project information to employees within the enterprise, extract the proportion of the sub-project information executed by the employee in the overall project, and collect the number of employees who can execute the sub-project information, generate project labor data, and calculate the degree of reward based on the project labor data;

[0097] Furthermore, the project characteristics analysis module can analyze all the personality trait information required for project execution, providing a comprehensive and accurate basis for subsequent task allocation. The personality matching module can accurately allocate sub-project information to the most suitable employees within the company, give full play to the personality advantages of employees, and improve the efficiency and quality of project execution. The completion degree division module can objectively reflect the actual contribution of employees in the project, and the reward adjustment module can make rewards more fair and reasonable, which can effectively motivate employees to actively participate in the project, improve their work enthusiasm and the overall completion of the project.

[0098] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An AI project management optimization system based on artificial intelligence, including a collection module, which can collect project information of an enterprise and generate an original plan, characterized in that: It also includes a project optimization module, a quality assessment module, a personality analysis module, a project characteristics analysis module, and a personality matching module; The project optimization module optimizes the collected project information and generates an optimization plan; The quality assessment module assesses the quality of the original plan and the optimized plan, compares the original plan and the optimized plan, and transmits the plan with better quality to the project characteristic analysis module; The personality analysis module collects the internal employee information of the enterprise and formulates a personality trait questionnaire generation unit. The personality trait questionnaire generation unit is used to test the personality traits of the employees within the enterprise, and the detected personality trait information is recorded in the corresponding employee information to generate trait employee information; The project characteristic analysis module collects information about project executors, generates an initial execution allocation plan, obtains project directions that different personality traits are good at, divides project information, generates sub-project information, analyzes personality trait information suitable for executing sub-project information, and modifies the initial execution allocation plan based on it to generate a trait allocation plan; The personality matching module extracts the content of trait employee information, analyzes the missing personality traits in the trait allocation plan information, and analyzes the time when different sub-project plan information is executed, and then marks the employee with the matched tags within the time period to avoid the employee being marked repeatedly.

2. The AI ​​project management optimization system based on artificial intelligence according to claim 1 is characterized by: It also includes a completion degree division module and a reward adjustment module; The completion degree division module can record the sub-project information executed by different employees in the project, and then calculate the completion degree of different employees in the project to generate project labor data; The reward adjustment module will adjust employees' rewards based on project labor data to increase employees' enthusiasm for project execution.

3. The AI ​​project management optimization system based on artificial intelligence according to claim 1 is characterized by: When the project optimization module optimizes the collected project information, it also establishes an information correction unit, which includes a standard correction column and an exclusive correction column. The exclusive correction column has a default permission. When selecting, the exclusive correction column will be displayed as the main standard correction column. Then, the error information in the project information is marked using the Jufa Proofreading Master, Digger.com and the information correction unit, and the error information is recorded in the information correction unit; The standard correction column can directly call up the information in the information correction unit, and then directly mark the wrong information in the project information; After directly calling up the information in the information correction unit, the exclusive correction column can delete and add the erroneous information recorded in the exclusive correction column, and then the erroneous information in the project information will be marked for correction after confirmation.

4. The AI ​​project management optimization system based on artificial intelligence according to claim 1, characterized in that: When the quality assessment module conducts quality assessment on the original plan and the optimized plan, it will first conduct a comprehensive assessment on the project goal achievement, project quality, project schedule management, project cost management, project risk management and other information that affects the project quality of the original plan, thereby calculating the quality index of the original plan, and then setting the quality threshold based on the quality index of the original plan. At this time, the optimized plan will be comprehensively evaluated and the quality index of the optimized plan will be calculated. Let the project goal achievement assessment be X 目标 , let the project quality assessment be X 质量 , let the project progress management evaluation be X 进度 , let the project cost management assessment be X 成本 , let the project risk management assessment be X 风险 , let other information affecting project quality assessment be X G , let the number of other information affecting project quality be P, let the quality threshold be Z 阈值 ; The quality threshold can be calculated according to the above formula. After the quality value of the optimization scheme is evaluated, analyze whether the quality index of the optimization scheme is higher than the quality threshold. Let the quality index of the optimization scheme be Y 优化 ; When Y 优化 >Z 阈值 When the optimization plan is transferred to the project characteristics analysis module; When Y 优化 =Z 阈值 When the original solution is optimized, it will be transferred to the project characteristics analysis module; When Y 优化 <Z 阈值 When the original plan is transferred to the project characteristics analysis module.

5. The AI ​​project management optimization system based on artificial intelligence according to claim 1 is characterized by: When formulating the personality trait questionnaire generation unit, the personality analysis module will establish an interval retest function, so as to generate a personality trait questionnaire for the employee again at an interval set time, and conduct a comprehensive assessment of the employee's personality in combination with the previous personality trait questionnaire, update the recorded employee personality traits in real time, and analyze the priority index of the employee according to the number of times the employee continuously answers the personality trait questionnaire, and then set a basic threshold and a leading threshold for the priority index; When the priority index falls below the basic threshold, the employee is classified into the basic level; When the priority index is higher than the basic threshold but lower than the leading threshold, the employee will be classified into the leading level; When the priority index is above the leading threshold, the employee is classified into the priority group; Priority indexes are used to rank employees by priority, so that projects can be allocated first to employees with high priority. When an employee fails to answer the personality trait questionnaire in a timely manner, the employee's priority index will be lowered and the employee's priority will be re-evaluated.

6. The AI ​​project management optimization system based on artificial intelligence according to claim 1, characterized in that: After generating the initial execution allocation plan, the project characteristic analysis module extracts the personality trait information of the executor from the initial execution allocation plan. Let the personality trait information of the sub-project information be X Z , let the number of personality traits of the sub-project information be L, let the total personality traits information required to execute the project be Z 全 ; According to the above formula, all the personality trait information needed to execute the project can be calculated.

7. The AI ​​project management optimization system based on artificial intelligence according to claim 6 is characterized by: The personality matching module can receive information processed by the project characteristic analysis module. After calculating all the personality trait information required for executing the project, it will calculate the personality trait information missing in the initial execution allocation plan based on all the personality trait information required for executing the project. Let the personality trait information missing in the initial execution allocation plan be Q 缺少 , let the personality trait information of all executors in the initial execution allocation plan be Z 初始 ; According to the above formula, the missing personality trait information in the initial execution allocation plan can be calculated, and then the missing personality trait information can be allocated according to the trait employee information, and then the sub-project information can be allocated to employees within the enterprise.

8. The AI ​​project management optimization system based on artificial intelligence according to claim 2 is characterized by: When calculating the degree of completion of an employee in a project, the completion division module extracts the proportion of the sub-project information executed by the employee in the overall project, and collects the number of employees who can execute the sub-project information, and generates project labor data based on the number of employees who can execute the sub-project information and the proportion of the sub-project information in the overall project.

9. The AI ​​project management optimization system based on artificial intelligence according to claim 2 is characterized by: The reward adjustment module can receive the information processed by the completion division module, and then calculate the reward level according to the project labor data. Let the employee's basic reward be J 基础 , let the total reward be B 总 , let the proportion of sub-project information in the overall project be Z 比重 , let the number of employees who can execute sub-project information be Z 数量 , let the actual reward be S 奖励 ; The actual reward can be calculated according to the above formula.

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