Knowledge management system for improving enterprise innovation ability

Abstract

The invention discloses a knowledge management system for improving enterprise innovation ability, and relates to the technical field of management, and the system comprises a demand generation module, a language class conversion module, a new creation distribution module, a new creation prediction module and a region verification module, and also comprises a language class analysis module and a feasibility analysis module. The system has the advantages that innovation demand points can be accurately positioned through the demand generation module, a clear direction is provided for subsequent innovation, sub-foreign-language information is converted into different foreign-language information, the information spreading range is widened, meanwhile, problems actually needing to be solved in an enterprise can be hidden, and the system is convenient to use. According to the invention, the system can be used for preventing other enterprises from knowing the internal information of the enterprise, widening the information transmission range through the language conversion module, promoting the excitation of cross-cultural communication and innovative thinking, enabling employees to quickly and accurately know the problem content, and screening out a high-quality innovative scheme through the feasibility analysis module.

Description

Technical Field

[0001] The present invention relates to the field of management technology, and in particular to a knowledge management system for improving the innovation capability of an enterprise. Background Art

[0002] Innovation refers to the behavior of improving or creating new things (including products, methods, elements, paths, environments) based on existing thinking patterns and different from conventional or ordinary thinking, using existing knowledge and materials, in a specific environment, in line with idealized needs or to meet social needs, and achieving certain beneficial effects. Innovation ability is the soul of national progress and the core of economic competition. Competition in today's society is more a competition of human creativity than a competition of talents. Innovation ability can promote the sustainable development of enterprises and bring new technologies, concepts and models to the industry.

[0003] When using common knowledge management systems, it is difficult to accurately capture those innovation demand points that cannot be derived from historical data. Inaccurate translation may occur, affecting the effect of information dissemination. However, differences between different cultures may lead to misunderstandings of the converted information, making it difficult to quickly and accurately find the content of the questions you need. For this reason, we propose a knowledge management system to enhance the innovation capabilities of enterprises. Summary of the invention

[0004] The purpose of the present invention is to provide a knowledge management system for improving the innovation capability of an enterprise.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: a knowledge management system for improving the innovation ability of an enterprise, comprising a knowledge collection module and an employee information module, wherein the knowledge collection module is used to collect information related to the enterprise, and the employee information module can collect all employee information within the enterprise, and further comprises a demand generation module, a category conversion module, a new creation collection module, a new creation prediction module and a regional verification module;

[0006] The demand generation module extracts the collected information related to the enterprise and simultaneously analyzes the operational defects of the enterprise. It then decomposes the defect information and processes the decomposed defect information to generate sub-language information. Sub-language information refers to information that is decomposed into sub-problem information and translated.

[0007] The language conversion module establishes the default language type, extracts the content of sub-language information, and intelligently converts the sub-language information into different foreign language information;

[0008] The startup collection module extracts employee information and creates a startup space for all employee information. Then, sub-language information in different languages ​​is published to the startup spaces of all employees. Employees can view sub-language information in different languages ​​through the startup space, and upload their own insights through the startup space to generate innovation plans.

[0009] New innovation forecasting module: analyzes changes in market information, extracts information from time series analysis models, and managers modify the time series analysis models to generate exclusive forecasting models, analyze the execution time of innovation plans, and input innovation plans into exclusive forecasting models to analyze the benefits of implementing innovation plans;

[0010] The regional verification module divides market information, analyzes the market characteristics of different regional markets, determines the funds required and the scope of implementation of the new innovation plan without affecting the operation of the enterprise based on the information, revenue and enterprise status of the new innovation plan, analyzes the execution cost hierarchy index of the new innovation plan, establishes the hierarchy level, and analyzes the verification scope and verification funds of the innovation plan based on the hierarchy level.

[0011] As a further solution of the present invention: it also includes a language category analysis module and a feasibility analysis module;

[0012] The language category analysis module can extract the information of all employees within the enterprise, analyze the educational level of all employees and the languages ​​they are proficient in, generate language translation range units based on the language types, and summarize all language type information within the enterprise;

[0013] The feasibility analysis module can extract the benefits of the innovation plan and then display the benefits of the innovation plan to the managers. At this time, the managers analyze the feasibility of the innovation plan based on the benefits of the innovation plan and their own insights, generate a feasibility index, and then a feasibility threshold. When the feasibility index is lower than the feasibility threshold, the innovation plan corresponding to the feasibility index will be deleted. When the feasibility index is higher than the feasibility threshold, the innovation plan corresponding to the feasibility index will be transmitted to the regional verification module.

[0014] As a further solution of the present invention: after decomposing the defect information, the demand generation module will generate sub-problem information. At this time, a foreign language processing unit is established, and the foreign language processing unit is used to translate the sub-problem information into different sub-foreign language information, and the order of the sub-foreign language information is disrupted.

[0015] As a further solution of the present invention: when analyzing the educational level and language types proficient of all employees, the language category analysis module will set language weights and weight levels for different employees. After analyzing the language types proficient of the employees, the language weights of different language types are determined to determine the original languages ​​of different employees. Then, all language types within the enterprise are summarized based on the original language information of all employees to generate language translation range data.

[0016] As a further solution of the present invention: when converting the sub-heterogeneous language information, the language category conversion module will establish a difference translation unit, and use the language translation range data to confirm the language type of the translation, and then refer to the content in the difference translation unit to translate the sub-heterogeneous language information into a foreign language version, and then use the corresponding foreign language software to reversely translate the sub-language information of the foreign language version to generate back-translation information, and then compare the back-translation information with the sub-heterogeneous language information, and at the same time formulate a sentence segmentation function, and use the sentence segmentation function to split the back-translation information and the sub-heterogeneous language information, and set the different paragraph information of the back-translation information as B1, B2, B3, ..., B D , let the different paragraph information of the sub-language information be Z1, Z2, Z3, ..., Z D , let the number of different paragraphs of back-translation information and sub-language information decomposition be D, let the difference information be C 异 ;

[0017] C 异 =[(B1, B2, B3,...,B D )-(B1, B2, B3, ..., B D )

[0018] ∩(Z1, Z2, Z3, ..., Z D )]

[0019] According to the above formula, the difference information between the reverse translation information and the sub-language information can be calculated, and then the difference information is corrected according to the translation information of the corresponding foreign language software, and the correction information is recorded in the difference translation unit.

[0020] As a further solution of the present invention: after an employee uploads his / her own insights through the new creation space, the new creation collection module will analyze the insight information uploaded by the employee and check whether the language type of the insight information conforms to the default language type;

[0021] When the language type is a foreign language, the insight information will be automatically transferred to the language conversion module and translated into the default language type;

[0022] When the language type matches the default language type, the insight information is transferred to the new creation prediction module.

[0023] As a further solution of the present invention: when generating a prediction model, the newly created prediction module will extract the information of the time series analysis model and establish a focus unit. The user can record the focus of the enterprise and the directions that need to be paid attention to in the focus unit, and use the focus unit to modify the time series analysis model to generate an exclusive prediction module.

[0024] As a further solution of the present invention: After the exclusive prediction module is generated, a profit threshold is established synchronously, so that the basic quality of the innovative solution can be judged. Suppose the profit situation is S 收益 , let the profit threshold be S 阈值 ;

[0025] When S 收益 ≥S 阈值 When the innovation plan is determined to be a high-quality plan, the high-quality plan is transmitted to the feasibility analysis module so that the management personnel can make further judgments;

[0026] When S 收益 阈值 When the innovation plan is determined to be a non-impact plan, the non-impact plan is deleted.

[0027] As a further solution of the present invention: when analyzing the hierarchical index of the newly created solution, the regional verification module needs to calculate the execution cost hierarchical index of the newly created solution, and the first-level threshold is Y 一级 , let the secondary level threshold be Y 二级 , let the zero-level threshold be Y 0级 , let the hierarchical index of the newly created scope be Z 层次 ;

[0028] When Z 层次 ≤Y 0级 When the innovation plan is judged to be of negative impact level, the innovation plan will be deleted;

[0029] When Y 0级 <Z 层次 ≤Y 一级 When the new innovation plan is determined to be of the basic level;

[0030] When Y 一级 <Z 层次 ≤Y 二级 When the new innovation plan is judged to be of the excellent level;

[0031] When Y 二级 <Z 层次 When the new innovation plan is judged to be of the excellent level;

[0032] ​Then set execution values ​​for the basic level, the fine level and the fine level, and set the execution values ​​for the basic level, the fine level and the fine level to Z respectively. 基础 , Z 精良 and Z 卓越 , assuming that the funds and execution scope required for the new initiative are Z 资范 , let the actual verified funds and execution scope information be S 验证 ;

[0033] When the new initiative is at the basic level;

[0034] S 验证 =Z 资范 ×Z 基础

[0035] When the new initiative is at the advanced level;

[0036] S 验证 =Z 资范 ×Z 精良

[0037] When the new initiative is at the level of excellence;

[0038] S 验证 =Z 资范 ×Z 卓越

[0039] The above formula can be used to calculate the actual verification funds and execution scope information, and establish a reward system to reward corresponding employees based on the actual verification results and the level to which the new plan belongs. The new plan can be transferred to the demand cost module, and the demand generation module can be used to remove the demand problems solved by the new plan.

[0040] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0041] 1. The present invention can accurately locate innovation demand points through the demand generation module, provide a clear direction for subsequent innovation, convert sub-language information into different foreign language information, broaden the scope of information dissemination, and at the same time hide the problems that actually need to be solved within the enterprise to prevent other enterprises from knowing the internal information of the enterprise. The language conversion module can broaden the scope of information dissemination, promote cross-cultural communication and stimulate innovative thinking, and enable employees to quickly and accurately understand the content of the problem. The feasibility analysis module can screen out high-quality innovation solutions to ensure the effective use of enterprise resources;

[0042] 2. The present invention can generate different sub-language information and disrupt the order through the demand generation module, which helps to inspire employees to think about problems from different angles, avoid stereotypes, make the problem presentation more diverse, avoid employees being affected by the inherent order when dealing with problems, further expand the thinking space, and use the language category analysis module to better allocate tasks in the subsequent innovation process, give play to the language advantages of employees, and use the difference translation unit to make the translation more in line with the actual needs of the enterprise, improve the accuracy and reliability of the translation, and help integrate the insights of employees from different language backgrounds;

[0043] 3. The present invention can make the prediction model more in line with the actual needs of the enterprise through the new prediction module, improve the accuracy of the prediction of the benefits of the innovation plan, and at the same time screen out high-quality plans for management personnel to further judge, delete no-impact plans in time, avoid waste of resources, and improve the efficiency of enterprise decision-making. The regional verification module can provide enterprises with clear program evaluation standards, stimulate employees' enthusiasm and sense of responsibility for innovation, and update demand issues in time, making the enterprise knowledge management system more efficient and dynamic. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 Schematic diagram of the system flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] 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.

[0047] Embodiment 1:

[0048] Therefore, in order to effectively solve the above problems, the present application proposes a knowledge management system for improving the innovation capability of enterprises, as shown in the accompanying drawings of the specification. Figure 1 As shown, it includes a knowledge acquisition module and an employee information module. The knowledge acquisition module is used to collect information related to the enterprise. The employee information module can collect all employee information within the enterprise. It also includes a demand generation module, a language category conversion module, a new creation collection module, a new creation prediction module and a regional verification module;

[0049] The demand generation module extracts the collected information related to the enterprise and simultaneously analyzes the operational defects of the enterprise. It then decomposes the defect information and processes the decomposed defect information to generate sub-language information. Sub-language information refers to information that is decomposed into sub-problem information and translated.

[0050] The language conversion module establishes the default language type, extracts the content of sub-language information, and intelligently converts the sub-language information into different foreign language information;

[0051] The startup collection module extracts employee information and creates a startup space for all employee information. Then, sub-language information in different languages ​​is published to the startup spaces of all employees. Employees can view sub-language information in different languages ​​through the startup space, and upload their own insights through the startup space to generate innovation plans.

[0052] New innovation forecasting module: analyzes changes in market information, extracts information from time series analysis models, and managers modify the time series analysis models to generate exclusive forecasting models, analyze the execution time of innovation plans, and input innovation plans into exclusive forecasting models to analyze the benefits of implementing innovation plans;

[0053] The regional verification module divides market information, analyzes the market characteristics of different regional markets, determines the funds and implementation scope of the innovative solutions without affecting the operation of the enterprise based on the information, revenue and enterprise status of the innovative solutions, analyzes the execution cost hierarchy index of the innovative solutions, establishes the hierarchy level, and analyzes the verification scope and verification funds of the innovative solutions based on the hierarchy level;

[0054] It also includes a category analysis module and a feasibility analysis module;

[0055] The language category analysis module can extract the information of all employees within the enterprise, analyze the educational level of all employees and the languages ​​they are proficient in, generate language translation range units based on the language types, and summarize all language type information within the enterprise;

[0056] The feasibility analysis module can extract the benefits of the innovation plan and then display the benefits of the innovation plan to the management personnel. At this time, the management personnel analyze the feasibility of the innovation plan based on the benefits of the innovation plan and their own insights, generate a feasibility index, and then a feasibility threshold. When the feasibility index is lower than the feasibility threshold, the innovation plan corresponding to the feasibility index will be deleted. When the feasibility index is higher than the feasibility threshold, the innovation plan corresponding to the feasibility index will be transmitted to the regional verification module.

[0057] Specific workflow: Collect information related to the enterprise and all employee information within the enterprise, analyze the operational defects of the enterprise simultaneously, decompose the defect information, generate sub-language information, intelligently convert the sub-language information into different foreign language information, analyze the educational level of all employees and the languages ​​they are good at, generate language translation range units, summarize all language information within the enterprise, establish a new startup space for all employee information, publish sub-language information of different languages ​​to the new startup space of all employees, employees can upload their own insights through the new startup space, generate innovation plans, generate exclusive prediction models, analyze the benefits of implementing innovation plans, extract the benefits of innovation plans, generate feasibility indexes, analyze the market characteristics of different regional markets, and analyze the verification scope and verification funds of innovation plans according to the level of hierarchy;

[0058] Furthermore, the demand generation module can accurately locate innovation demand points, provide a clear direction for subsequent innovation, convert sub-language information into different foreign language information, broaden the scope of information dissemination, and at the same time hide the problems that actually need to be solved within the enterprise to prevent other enterprises from knowing the internal information of the enterprise. The language conversion module can broaden the scope of information dissemination, promote cross-cultural communication and the stimulation of innovative thinking, and enable employees to quickly and accurately understand the content of the problem. The feasibility analysis module can screen out high-quality innovation solutions to ensure the effective use of enterprise resources.

[0059] Embodiment 2:

[0060] Based on the first embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, after the requirement generation module decomposes the defect information, it will generate sub-problem information. At this time, a heterolingual processing unit is established to translate the sub-problem information into different languages, generate different sub-heteronormative information, and disrupt the order of the sub-heteronormative information.

[0061] When analyzing the educational level and languages ​​of all employees, the language category analysis module sets language weights and weight levels for different employees. After analyzing the languages ​​that employees are good at, it determines the language weights of different languages, thereby determining the original languages ​​of different employees. Then, based on the original language information of all employees, it summarizes all the languages ​​within the enterprise and generates language translation range data.

[0062] When converting the sub-variant language information, the language category conversion module will establish a difference translation unit, and use the language translation range data to confirm the language type of the translation, and then refer to the content in the difference translation unit to translate the sub-variant language information into a foreign language version, and then use the corresponding foreign language software to reversely translate the sub-language information of the foreign language version to generate back-translation information, and then compare the back-translation information with the sub-variant language information. At the same time, a sentence segmentation function is formulated, and the back-translation information and the sub-variant language information are split and processed using the sentence segmentation function. The different paragraph information of the back-translation information is set as B1, B2, B3, ..., B D , let the different paragraph information of the sub-language information be Z1, Z2, Z3, ..., Z D , let the number of different paragraphs of back-translation information and sub-language information decomposition be D, let the difference information be C 异 ;

[0063] C 异 =[(B1, B2, B3,...,B D )-(B1, B2, B3, ..., B D )

[0064] ∩(Z1, Z2, Z3, ..., Z D )]

[0065] According to the above formula, the difference information between the reverse translation information and the sub-language information can be calculated, and then the difference information is corrected according to the translation information of the corresponding foreign language software, and the correction information is recorded in the difference translation unit;

[0066] Specific workflow: Generate sub-question information, establish a foreign language processing unit, use the foreign language processing unit to translate the sub-question information, generate different sub-foreign language information, and disrupt the order of the sub-foreign language information, set language weights for different employees, set weight levels, determine the original languages ​​of different employees, summarize all language types within the enterprise, generate language translation range data, establish a difference translation unit, refer to the content in the difference translation unit to translate the sub-foreign language information into a foreign language version, use the corresponding foreign language software to reversely translate the foreign language version of the sub-language information, generate reverse translation information, compare the reverse translation information with the sub-foreign language information, calculate the difference information between the reverse translation information and the sub-foreign language information, correct the difference information, and record the correction information in the difference translation unit, and check whether the language type of the explanation information meets the default language type;

[0067] Furthermore, the demand generation module can generate different sub-language information and disrupt the order, which helps to inspire employees to think about problems from different angles, avoid stereotypes, make the problem presentation more diverse, and prevent employees from being affected by the inherent order when dealing with problems, further expand the thinking space, and use the language category analysis module to better allocate tasks in the subsequent innovation process, give play to the language advantages of employees, and use the difference translation unit to make the translation more in line with the actual needs of the enterprise, improve the accuracy and reliability of the translation, and help integrate the insights of employees from different language backgrounds.

[0068] Embodiment three:

[0069] Based on the second embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, after an employee uploads his or her own insights through the new startup space, the new startup collection module will analyze the insight information uploaded by the employee and check whether the language type of the insight information conforms to the default language type;

[0070] When the language type is a foreign language, the insight information will be automatically transferred to the language conversion module and translated into the default language type;

[0071] When the language type matches the default language type, the insight information is transferred to the new creation prediction module;

[0072] When generating a forecast model, the new forecast module will extract the information of the time series analysis model and establish a focus unit. Users can record the focus of the enterprise and the areas that need to be paid attention to in the focus unit, and use the focus unit to modify the time series analysis model to generate a dedicated forecast module.

[0073] After the exclusive prediction module is generated, a profit threshold will be established simultaneously, so that the basic quality of the innovation plan can be judged. Suppose the profit situation is S 收益 , let the profit threshold be S 阈值 ;

[0074] When S 收益 ≥S 阈值 When the innovation plan is determined to be a high-quality plan, the high-quality plan is transmitted to the feasibility analysis module so that the management personnel can make further judgments;

[0075] When S 收益 阈值 When the innovation plan is determined to be a plan with no impact, the plan with no impact is deleted;

[0076] When analyzing the hierarchical index of the new scheme, the regional verification module needs to calculate the hierarchical index of the execution cost of the new scheme, and set the first-level threshold as Y 一级 , let the secondary level threshold be Y​二级 , let the zero-level threshold be Y 0级 , let the hierarchical index of the newly created scope be Z 层次 ;

[0077] When Z 层次 ≤Y 0级 When the innovation plan is judged to be of negative impact level, the innovation plan will be deleted;

[0078] When Y 0级 <Z 层次 ≤Y 一级 When the new innovation plan is determined to be of the basic level;

[0079] When Y 一级 <Z 层次 ≤Y 二级 When the new innovation plan is judged to be of the excellent level;

[0080] When Y 二级 <Z 层次 When the new innovation plan is judged to be of the excellent level;

[0081] Then set execution values ​​for the basic level, the fine level and the fine level, and set the execution values ​​for the basic level, the fine level and the fine level to Z respectively. 基础 , Z 精良 and Z 卓越 , assuming that the funds and execution scope required for the new initiative are Z 资范 , let the actual verified funds and execution scope information be S 验证 ;

[0082] When the new initiative is at the basic level;

[0083] S 验证 =Z 资范 ×Z 基础

[0084] When the new initiative is at the advanced level;

[0085] S 验证 =Z 资范 ×Z 精良

[0086] When the new initiative is at the level of excellence;

[0087] S 验证 =Z 资范 ×Z 卓越

[0088] The above formula can be used to calculate the actual verification funds and execution scope information, and establish a reward system to reward the corresponding employees according to the actual verification results and the level of the new plan. The new plan is transferred to the demand cost module, and the demand generation module is used to remove the demand problem solved by the new plan.

[0089] Specific workflow: extract information from the time series analysis model, modify the time series analysis model using the focus unit, generate an exclusive prediction module, establish a profit threshold, judge the basic quality of the innovation plan, determine the funds and implementation scope required for the new plan without affecting the operation of the enterprise, analyze the hierarchical index of the new plan, calculate the actual verification of the funds and implementation scope information, formulate and establish a reward system, reward the corresponding employees according to the actual verification effect and the hierarchical level of the new plan, and transfer the new plan to the demand cost module, and use the demand generation module to remove the demand problem solved by the new plan;

[0090] Furthermore, the new creation prediction module can make the prediction model more in line with the actual needs of the enterprise, improve the accuracy of the prediction of the benefits of innovative solutions, and at the same time screen out high-quality solutions for managers to further judge, delete no-impact solutions in time, avoid waste of resources, and improve enterprise decision-making efficiency. The regional verification module can provide enterprises with clear solution evaluation standards, stimulate employees' enthusiasm and sense of responsibility for innovation, and update demand issues in time, making the enterprise knowledge management system more efficient and dynamic.

[0091] 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. A knowledge management system for improving the innovation capability of an enterprise, comprising a knowledge collection module and an employee information module, wherein the knowledge collection module is used to collect information related to the enterprise, and the employee information module can collect information of all employees within the enterprise, and is characterized in that: It also includes demand generation module, category conversion module, new creation collection module, new creation prediction module and regional verification module; The demand generation module extracts the collected information related to the enterprise and simultaneously analyzes the operational defects of the enterprise. It then decomposes the defect information and processes the decomposed defect information to generate sub-language information. Sub-language information refers to information that is decomposed into sub-problem information and translated. The language conversion module establishes the default language type, extracts the content of sub-language information, and intelligently converts the sub-language information into different foreign language information; The startup collection module extracts employee information and creates a startup space for all employee information. Then, sub-language information in different languages ​​is published to the startup spaces of all employees. Employees can view sub-language information in different languages ​​through the startup space, and upload their own insights through the startup space to generate innovation plans. New innovation forecasting module: analyzes changes in market information, extracts information from time series analysis models, and managers modify the time series analysis models to generate exclusive forecasting models, analyze the execution time of innovation plans, and input innovation plans into exclusive forecasting models to analyze the benefits of implementing innovation plans; The regional verification module divides market information, analyzes the market characteristics of different regional markets, determines the funds required and the scope of implementation of the new innovation plan without affecting the operation of the enterprise based on the information, revenue and enterprise status of the new innovation plan, analyzes the execution cost hierarchy index of the new innovation plan, establishes the hierarchy level, and analyzes the verification scope and verification funds of the innovation plan based on the hierarchy level.

2. A knowledge management system for improving enterprise innovation capability according to claim 1, characterized in that: It also includes a category analysis module and a feasibility analysis module; The language category analysis module can extract the information of all employees within the enterprise, analyze the educational level of all employees and the languages ​​they are proficient in, generate language translation range units based on the language types, and summarize all language type information within the enterprise; The feasibility analysis module can extract the benefits of the innovation plan and then display the benefits of the innovation plan to the managers. At this time, the managers analyze the feasibility of the innovation plan based on the benefits of the innovation plan and their own insights, generate a feasibility index, and then a feasibility threshold. When the feasibility index is lower than the feasibility threshold, the innovation plan corresponding to the feasibility index will be deleted. When the feasibility index is higher than the feasibility threshold, the innovation plan corresponding to the feasibility index will be transmitted to the regional verification module.

3. A knowledge management system for improving enterprise innovation capability according to claim 1, characterized in that: After decomposing the defect information, the demand generation module generates sub-problem information. At this time, a foreign language processing unit is established to translate the sub-problem information into different languages, generate different sub-foreign language information, and disrupt the order of the sub-foreign language information.

4. A knowledge management system for improving enterprise innovation capability according to claim 1, characterized in that: When analyzing the educational level and language proficiency of all employees, the language category analysis module will set language weights and weight levels for different employees. After analyzing the language proficiency of the employees, the language weights of different language types are determined to determine the original languages ​​of different employees. Then, based on the original language information of all employees, all language types within the enterprise are summarized to generate language translation range data.

5. The knowledge management system for improving the innovation capability of an enterprise according to claim 1, characterized in that: When converting the sub-heterogeneous language information, the language category conversion module will establish a difference translation unit, and use the language translation range data to confirm the language type of the translation, and then refer to the content in the difference translation unit to translate the sub-heterogeneous language information into a foreign language version, and then use the corresponding foreign language software to reversely translate the sub-language information of the foreign language version to generate back-translation information, and then compare the back-translation information with the sub-heterogeneous language information, and at the same time formulate a sentence segmentation function, and use the sentence segmentation function to split the back-translation information and the sub-heterogeneous language information, and set the different paragraph information of the back-translation information as B1, B2, B3, ..., B D , let the different paragraph information of the sub-language information be Z1, Z2, Z3, ..., Z D , let the number of different paragraphs of back-translation information and sub-language information decomposition be D, let the difference information be C 异 ; <h2 style=";text-align:left;direction:ltr">C<h2 style=";text-align:left;direction:ltr"> 异 <h2 style=";text-align:left;direction:ltr"> (B1, B2, B3,……, B)<h2 style=";text-align:left;direction:ltr"> D <h2 style=";text-align:left;direction:ltr"> )-(B1、B2、B3、……、B<h2 style=";text-align:left;direction:ltr"> D <h2 style=";text-align:left;direction:ltr"> )∩(Z1、Z2、Z3、……、Z<h2 style=";text-align:left;direction:ltr"> D <h2 style=";text-align:left;direction:ltr"> )] According to the above formula, the difference information between the reverse translation information and the sub-language information can be calculated, and then the difference information is corrected according to the translation information of the corresponding foreign language software, and the correction information is recorded in the difference translation unit.

6. A knowledge management system for improving enterprise innovation capability according to claim 1, characterized in that: After the employee uploads his / her own insights through the new startup space, the new startup collection module will analyze the insight information uploaded by the employee and check whether the language type of the insight information conforms to the default language type; When the language type is a foreign language, the insight information will be automatically transferred to the language conversion module and translated into the default language type; When the language type matches the default language type, the insight information is transferred to the new creation prediction module.

7. A knowledge management system for improving enterprise innovation capability according to claim 2, characterized in that: When generating a prediction model, the newly created prediction module will extract information from the time series analysis model and establish a focus unit. Users can record the company's focus and the areas that need attention in the focus unit, and use the focus unit to modify the time series analysis model to generate an exclusive prediction module.

8. A knowledge management system for improving enterprise innovation capability according to claim 7, characterized in that: After the exclusive prediction module is generated, a profit threshold will be established simultaneously, so that the basic quality of the innovation plan can be judged. Suppose the profit situation is S 收益 , let the profit threshold be S 阈值 ; When S 收益 ≥S 阈值 When the innovation plan is determined to be a high-quality plan, the high-quality plan is transmitted to the feasibility analysis module so that the management personnel can make further judgments; When S 收益 阈值 When the innovation plan is determined to be a plan with no impact, the plan with no impact is deleted.​ 9. The knowledge management system for improving enterprise innovation capability according to claim 1, characterized in that: When analyzing the hierarchical index of the new scheme, the regional verification module needs to calculate the execution cost hierarchical index of the new scheme, and the first-level threshold is Y 一级 , let the secondary level threshold be Y 二级 , let the zero-level threshold be Y 0级 , let the hierarchical index of the newly created scope be Z 层次 ; When Z 层次 ≤Y 0级 When the innovation plan is judged to be of negative impact level, the innovation plan will be deleted; When Y 0级 <Z 层次 ≤Y 一级 When the new innovation plan is determined to be of the basic level; When Y 一级 <Z 层次 ≤Y 二级 When the new innovation plan is judged to be of the excellent level; When Y 二级 <Z 层次 When the new innovation plan is judged to be of the excellent level; Then set execution values ​​for the basic level, the fine level and the fine level, and set the execution values ​​for the basic level, the fine level and the fine level to Z respectively. 基础 , Z 精良 and Z 卓越 , assuming that the funds and execution scope required for the new initiative are Z 资范 , let the actual verified funds and execution scope information be S 验证 ; When the new initiative is at the basic level; S 验证 =Z 资范 ×Z 基础 When the new initiative is at the advanced level; S 验证 =Z 资范 ×Z 精良 When the new initiative is at the level of excellence; S 验证 =Z 资范 ×Z 卓越 The above formula can be used to calculate the actual verification funds and execution scope information, and establish a reward system to reward corresponding employees based on the actual verification results and the level to which the new plan belongs. The new plan can be transferred to the demand cost module, and the demand generation module can be used to remove the demand problems solved by the new plan.

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