Scientific and technological achievement management method and scientific and technological achievement management platform based on field matching

Abstract

The invention relates to the technical field of scientific research management, and particularly discloses a scientific and technological achievement management method and a scientific and technological achievement management platform based on domain matching, and the method comprises the steps: building an expert scoring module, and combining the data of each expert in three dimensions of academic background, practical experience and industry influence, according to the method, the weight value of each expert is analyzed, the authority of each expert in different fields can be analyzed, and then the text fitness of each scientific and technological achievement in different fields can be analyzed based on the data and the field matching fitness scoring result of each expert for each scientific and technological achievement in different fields. By means of expert scoring, the situation that technical requirement matching is not accurate due to professional term understanding deviation can be avoided, the domain matching accuracy can be further improved through weight distribution based on expert authority, and therefore the conversion efficiency of scientific and technological achievements is improved.

Description

Technical Field

[0001] The present invention relates to the field of scientific research management technology, and specifically to a scientific and technological achievement management method and a scientific and technological achievement management platform based on field matching. Background Art

[0002] The scientific and technological achievement management platform based on domain matching is an intelligent management platform that uses technical means to achieve precise matching of scientific and technological achievements with needs. Its core lies in using domain knowledge graphs, semantic analysis, machine learning and other technologies to classify and match scientific and technological achievements according to technical fields, application scenarios, industrial needs and other dimensions, thereby improving the conversion efficiency and application value of scientific and technological achievements.

[0003] In daily use, the scientific and technological achievement management platform generally adopts a matching algorithm based on semantic similarity through AI, analyzes the technical descriptions, application scenarios and other text information of scientific and technological achievements, and performs semantic matching with the technical requirements and industry pain points in different fields. By establishing a multi-dimensional field knowledge graph, the technical parameters, application scenarios, industry needs and other elements of scientific and technological achievements are structured and modeled. The scientific and technological achievements and technical needs are classified and labeled through characteristic words in the technical field, and the fields of different types of scientific and technological achievements and potential technology demanders are quickly screened out based on keyword matching, thereby achieving the matching of scientific and technological achievements.

[0004] In the existing technology, scientific and technological achievement management platforms generally analyze the text information content of scientific and technological achievements based on AI, and perform semantic matching based on the analysis results combined with the technical requirements and industry pain points in different fields to achieve the matching of scientific and technological achievements. However, during the AI screening process, since scientific research institutions are accustomed to using the precise expression of academic concepts, this deviation in the understanding of professional terms may lead to inaccurate matching of technical requirements, thereby causing errors in the matching results of scientific and technological achievements, affecting the conversion efficiency and application value of scientific and technological achievements. Summary of the Invention

[0005] The purpose of this invention is to provide a scientific and technological achievement management method and a scientific and technological achievement management platform based on field matching to solve the following technical problems: How to improve the accuracy of matching results in the field of scientific and technological achievements.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A scientific and technological achievement management method and a scientific and technological achievement management platform based on field matching, the method comprising: S1: Establish an expert scoring module, and use multiple experts in the expert scoring module to score the field matching suitability of each scientific and technological achievement in the scientific and technological achievement management platform in different fields online; S2: The data analysis module analyzes the weight of each expert based on their academic background, practical experience, and industry influence. S3: The expert evaluation module combines the weight of each expert and the scoring results of the field matching suitability of each scientific and technological achievement in different fields to analyze the textual suitability of each scientific and technological achievement in different fields; S4: The AI evaluation module combines the three dimensions of technology similarity, domain relevance, and dynamic adaptability to analyze the professional adaptability of various scientific and technological achievements in different fields; S5: The field matching module combines the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of each scientific and technological achievement in different fields.

[0007] Furthermore, the analysis process in S2 includes: By formula Calculate the weighted influence coefficient of the a-th expert in the i-th field ; Among them, a is any scoring expert in the expert scoring module, i is any matching field, is the number of papers published by the a-th expert in the i-th field, is the preset number of papers published, is the H index of the a-th expert in the i-th field, is the preset H index, To define a function, if ,make Otherwise, let , is the amount of project experience of the a-th expert in the i-th field, is the preset project experience quantity, is the number of technology transformation achievements of the a-th expert in the i-th field, is the preset number of technology transformation results, The industry influence coefficient of the a-th expert in the i-th field is set based on empirical fitting. and is the proportional coefficient, which is set according to empirical fitting. is the error adjustment coefficient, which is obtained by training the deep learning module based on a large amount of historical data.

[0008] Furthermore, the analysis process in S2 further includes: By the weight influence coefficient of the a-th expert in the i-th field Assign a value to generate a coefficient between 1 and 1.5, which is affected by the weight of the a-th expert in the i-th field. The weight of the a-th expert in the i-th field increases with the increase of ; Among them, the weight influence coefficient of the a-th expert in the i-th field is The corresponding weight value of the a-th expert in the i-th field is .

[0009] Furthermore, the analysis process in S3 includes: By formula Calculate the text suitability evaluation value of the sth scientific and technological achievement in the i-th field ; Among them, s is any scientific and technological achievement in the scientific and technological achievement management platform, m is the total number of experts participating in the scoring in the expert scoring module, The score given by the a-th expert to the suitability of the s-th scientific and technological achievement in the i-th field, For all The average value of .

[0010] Furthermore, the analysis process in S3 also includes: By evaluating the text suitability of the s-th scientific and technological achievement in the i-th field Compatibility evaluation threshold Make a comparison; like , judge that the text adaptability of the s-th scientific and technological achievement in the i-th field is good, and further combine AI to conduct professional adaptability evaluation; like , judge that the text adaptability of the sth scientific and technological achievement in the i-th field is not high and the field needs to be changed.

[0011] Furthermore, the analysis process in S4 includes: When the text adaptation of the s-th scientific and technological achievement in the i-th field is judged to be good: By formula Calculate the professional fitness evaluation value of the sth scientific and technological achievement in the i-th field ; in, is the technical similarity index of the s-th scientific and technological achievement in the i-th field, is the field correlation strength index of the s-th scientific and technological achievement in the i-th field, is the dynamic adaptability index of the sth scientific and technological achievement in the i-th field, 、 and is the weight coefficient, which is set according to empirical fitting, and .

[0012] Furthermore, the analysis process in S5 includes: By formula Calculate the overall fitness evaluation value of the sth scientific and technological achievement in the i-th field ; And by evaluating the overall fitness of the s-th scientific and technological achievement in the i-th field The preset overall fitness evaluation value threshold Make a comparison; like , judging that the overall adaptability of the s-th scientific and technological achievement in the i-th field is high, the scientific and technological achievement can be matched to the field to achieve priority optimization of the matching results; like , judge that the overall adaptability of the s-th scientific and technological achievement in the i-th field is low, and the scientific and technological achievement is not applicable to the current field; in, and is the specific gravity coefficient, which is set based on empirical fitting.

[0013] Furthermore, a scientific and technological achievement management platform based on field matching includes: Expert scoring module, which is used for multiple experts to conduct online scoring of the suitability of each scientific and technological achievement in different fields in the scientific and technological achievement management platform; The data analysis module is used to analyze the weight of each expert based on their academic background, practical experience, and industry influence. The expert evaluation module is used to analyze the textual suitability of each scientific and technological achievement in different fields by combining the weight value of each expert and the scoring results of the field matching suitability of each scientific and technological achievement in different fields; The AI evaluation module is used to analyze the professional adaptability of various scientific and technological achievements in different fields by combining three dimensions: technical similarity, domain association strength, and dynamic adaptability; The field matching module is used to combine the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of various scientific and technological achievements in different fields.

[0014] Beneficial effects of the present invention: (1) The present invention analyzes the weight value of each expert by combining the data of each expert in three dimensions: academic background, practical experience and industry influence. It can analyze the authority of each expert in different fields. Then, based on the data and the scoring results of each expert on the field matching suitability of each scientific and technological achievement in different fields, the text adaptability of each scientific and technological achievement in different fields can be analyzed. The expert scoring can avoid the situation where the deviation in the understanding of professional terms leads to inaccurate matching of technical requirements, and the allocation of weights based on the authority of experts can further improve the accuracy of field matching, thereby improving the conversion efficiency of scientific and technological achievements.

[0015] (2) The present invention evaluates the text suitability of the s-th scientific and technological achievement in the i-th field by Compatibility evaluation threshold Through this comparison method, an accurate judgment can be made on the text adaptability of the s-th scientific and technological achievement in the ith field. Moreover, since the data is obtained based on the scores of multiple experts and is corrected based on the dynamic weight allocation of expert authority, it can avoid the situation where the understanding of professional terms leads to inaccurate matching of technical requirements, thereby avoiding errors in the results of matching in the field of scientific and technological achievements, which affects the conversion efficiency and application value of scientific and technological achievements.

[0016] (3) The present invention evaluates the overall fitness of the s-th scientific and technological achievement in the i-th field by The preset overall fitness evaluation value threshold For comparison, the data is obtained by combining the analysis data of the two dimensions of AI evaluation module and expert evaluation module. The human-machine combined judgment method can improve the accuracy of field matching, and will not cause inaccurate matching of technical requirements due to deviations in the understanding of professional terms. It can make an accurate assessment of the overall adaptability of the s-th scientific and technological achievement in the i-th field, thereby improving the conversion efficiency and application value of scientific and technological achievements.

[0017] (4) The present invention can significantly improve the accuracy and reliability of the matching of scientific and technological achievements by scientifically allocating expert weights, thereby improving the reliability of the text adaptability analysis results of various scientific and technological achievements in different fields, avoiding the situation where the technical requirements are not matched accurately due to the misunderstanding of professional terms. Finally, based on this data combined with the evaluation results of the AI evaluation module, the adaptability of various scientific and technological achievements in different fields is finally determined in a human-machine combined manner, which can further improve the accuracy of the determination results, thereby improving the accuracy of the matching results of scientific and technological achievements. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below with reference to the accompanying drawings.

[0019] Figure 1 It is a flow chart of the scientific and technological achievement management method based on field matching in the present invention; Figure 2 This is a schematic diagram of the scientific and technological achievement management platform based on field matching in the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, in one embodiment, the present application provides a scientific and technological achievement management method and a scientific and technological achievement management platform based on field matching, the method comprising: S1: Establish an expert scoring module, and use multiple experts in the expert scoring module to score the field matching suitability of each scientific and technological achievement in the scientific and technological achievement management platform in different fields online; S2: The data analysis module analyzes the weight of each expert based on their academic background, practical experience, and industry influence. S3: The expert evaluation module combines the weight of each expert and the scoring results of the field matching suitability of each scientific and technological achievement in different fields to analyze the textual suitability of each scientific and technological achievement in different fields; S4: The AI evaluation module combines the three dimensions of technology similarity, domain relevance, and dynamic adaptability to analyze the professional adaptability of various scientific and technological achievements in different fields; S5: The domain matching module combines the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of each scientific and technological achievement in different fields; Through the above technical solution, this example provides a scientific and technological achievement management method based on field matching. First, multiple experts in the expert scoring module conduct online scoring of the field matching suitability of various scientific and technological achievements in different fields in the scientific and technological achievement management platform, and the data analysis module analyzes the weight value of each expert based on the data of each expert in three dimensions: academic background, practical experience and industry influence. Then, the expert evaluation module combines the weight value of each expert and the field matching suitability scoring results of each scientific and technological achievement in different fields to analyze the text adaptability of each scientific and technological achievement in different fields. Finally, the AI evaluation module combines the three dimensions of technical similarity, field association strength and dynamic adaptability to analyze the professional adaptability of each scientific and technological achievement in different fields. The field matching module combines the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of each scientific and technological achievement in different fields. Through such a setting, when analyzing the mechanical energy of the adaptability of various scientific and technological achievements in different fields, by combining the data of each expert in the three dimensions of academic background, practical experience and industry influence, and analyzing the weight value of each expert, the authority of each expert in different fields can be analyzed. Then, based on this data and the scoring results of each expert on the field matching suitability of each scientific and technological achievement in different fields, the text adaptability of each scientific and technological achievement in different fields can be analyzed. Expert scoring can avoid the situation where the deviation in the understanding of professional terms leads to inaccurate matching of technical requirements, and the allocation of weights based on the authority of experts can further improve the accuracy of field matching, thereby improving the conversion efficiency of scientific and technological achievements. Afterwards, the AI evaluation module combines the three dimensions of technical similarity, field correlation strength, and dynamic adaptability to analyze the professional adaptability of each scientific and technological achievement in different fields, and combines the evaluation results of the expert evaluation module to judge the final adaptability of each scientific and technological achievement in different fields. The human-machine combined judgment method can further improve the accuracy of field matching, avoid errors in the results of field matching of scientific and technological achievements, and lead to situations that affect the conversion efficiency and application value of scientific and technological achievements.

[0022] The analysis process in S2 includes: By formula Calculate the weighted influence coefficient of the a-th expert in the i-th field ; Among them, a is any scoring expert in the expert scoring module, i is any matching field, is the number of papers published by the a-th expert in the i-th field, is the preset number of papers published, is the H index of the a-th expert in the i-th field, is the preset H index, To define a function, if ,make Otherwise, let , is the amount of project experience of the a-th expert in the i-th field, is the preset project experience quantity, is the number of technology transformation achievements of the a-th expert in the i-th field, is the preset number of technology transformation results, The industry influence coefficient of the a-th expert in the i-th field is set based on empirical fitting. Specifically, it can be obtained by outputting a deep learning model based on a large amount of data training. and is the proportional coefficient, which is set according to empirical fitting. is the error adjustment coefficient, which is obtained by training the deep learning module based on a large amount of historical data; Through the above technical solution, this example provides the method to obtain the weight influence coefficient of the a-th expert in the i-th field. , can be obtained by formula Calculation shows that, obviously, when the number of papers published, project experiences and technology transformation results of the a-th expert in the i-th field is greater, and the H-index of the a-th expert in the i-th field is higher, then the weight influence coefficient of the a-th expert in the i-th field is greater. The larger the H index is, the higher the authority of the a-th expert in the i-th field is. On the contrary, when the number of papers published, project experience and technology transformation results of the a-th expert in the i-th field is less, and the H index of the a-th expert in the i-th field is lower, then the weight influence coefficient of the a-th expert in the i-th field is The smaller it is, the more the authority of the a-th expert in the i-th field is relatively general; Through this calculation method, we can analyze the authority of different experts in different fields based on the comprehensive data of different experts in three dimensions: academic background, practical experience, and industry influence. Based on the authority of different experts in different fields, we can scientifically allocate expert weights, thereby significantly improving the accuracy and reliability of matching in the field of scientific and technological achievements.

[0023] The analysis process in S2 further includes: By the weight influence coefficient of the a-th expert in the i-th field Assign a value to generate a coefficient between 1 and 1.5, which is affected by the weight of the a-th expert in the i-th field. The weight of the a-th expert in the i-th field increases with the increase of ; Among them, the weight influence coefficient of the a-th expert in the i-th field is The corresponding weight value of the a-th expert in the i-th field is ; Through the above technical solution, this example provides the weight influence coefficient of the a-th expert in the i-th field The assignment process; As an example, the weight value of the a-th expert in the i-th field is The value standards are as follows: It should be noted that this data is obtained based on a deep learning model combined with a large amount of historical data training, and because the weight influence coefficient of the a-th expert in the i-th field It can reflect the authority of different experts in different fields, so as the weight of the a-th expert in the i-th field influences the coefficient The increase in the corresponding weight of the a-th expert in the i-th field will increase synchronously.

[0024] The analysis process in S3 includes: By formula Calculate the text suitability evaluation value of the sth scientific and technological achievement in the i-th field ; Among them, s is any scientific and technological achievement in the scientific and technological achievement management platform, m is the total number of experts participating in the scoring in the expert scoring module, The score given by the a-th expert to the suitability of the s-th scientific and technological achievement in the i-th field, For all The average value of Through the above technical solution, this example provides the text adaptation evaluation value of the s-th scientific and technological achievement in the i-th field , can be obtained by formula Calculated, where the formula The dispersion coefficient of the fitness scores of all experts for the s-th scientific and technological achievement in the i-th field can be calculated. Obviously, when the fitness score of the a-th expert for the s-th scientific and technological achievement in the i-th field is higher and the dispersion coefficient of the fitness scores of all experts for the s-th scientific and technological achievement in the i-th field is smaller, then the text fitness evaluation value of the s-th scientific and technological achievement in the i-th field is The higher the value, the higher the matching degree between the scientific and technological achievements and the i-th field. And since the data is combined with the weight value of the a-th expert in the i-th field The calculation obtains the authoritative data of the a-th expert in the i-th field, which can improve the accuracy and reliability of the matching of scientific and technological achievements, thereby improving the accuracy of the calculation results, providing accurate data for the subsequent judgment of the text adaptability of the s-th scientific and technological achievement in the i-th field, and improving the accuracy of the judgment results.

[0025] The analysis process in S3 also includes: By evaluating the text suitability of the s-th scientific and technological achievement in the i-th field Compatibility evaluation threshold Make a comparison; like , judge that the text adaptability of the s-th scientific and technological achievement in the i-th field is good, and further combine AI to conduct professional adaptability evaluation; like , judge that the text adaptation of the s-th scientific and technological achievement in the i-th field is not high and needs to change the field; Through the above technical solution, this example evaluates the text suitability of the s-th scientific and technological achievement in the i-th field by Compatibility evaluation threshold Through this comparison method, an accurate judgment can be made on the text adaptability of the s-th scientific and technological achievement in the ith field. Moreover, since the data is obtained based on the scores of multiple experts and is corrected based on the dynamic weight allocation of expert authority, it can avoid the situation where the understanding of professional terms leads to inaccurate matching of technical requirements, thereby avoiding errors in the results of matching in the field of scientific and technological achievements, which affects the conversion efficiency and application value of scientific and technological achievements.

[0026] The analysis process in S4 includes: When the text adaptation of the s-th scientific and technological achievement in the i-th field is judged to be good: By formula Calculate the professional fitness evaluation value of the sth scientific and technological achievement in the i-th field ; in, is the technical similarity index of the s-th scientific and technological achievement in the i-th field, is the field correlation strength index of the s-th scientific and technological achievement in the i-th field, is the dynamic adaptability index of the sth scientific and technological achievement in the i-th field, 、 and is the weight coefficient, which is set according to empirical fitting, and ,Specifically, it can be obtained based on the output of the deep learning model after training based on a large amount of data; Through the above technical solution, this example provides the professional adaptability evaluation value of the s-th scientific and technological achievement in the i-th field , can be obtained by formula Based on the above calculation process, AI can be used to combine the three dimensions of technical similarity, field correlation strength and dynamic adaptability to evaluate the professional adaptability of the s-th scientific and technological achievement in the i-th field, thereby providing reliable data support for the subsequent judgment of the overall adaptability of the s-th scientific and technological achievement in the i-th field.

[0027] The analysis process in S5 includes: By formula Calculate the overall fitness evaluation value of the sth scientific and technological achievement in the i-th field ; And by evaluating the overall fitness of the s-th scientific and technological achievement in the i-th field The preset overall fitness evaluation value threshold Make a comparison; like , judging that the overall adaptability of the s-th scientific and technological achievement in the i-th field is high, the scientific and technological achievement can be matched to the field to achieve priority optimization of the matching results; like , judge that the overall adaptability of the s-th scientific and technological achievement in the i-th field is low, and the scientific and technological achievement is not applicable to the current field; in, and is the weight coefficient, which is set based on empirical fitting. Specifically, it can be obtained by the output of a deep learning model trained on a large amount of data; Through the above technical solution, this example provides the overall fitness evaluation value of the s-th scientific and technological achievement in the i-th field , can be obtained by formula Calculated, and then the overall fitness evaluation value of the s-th scientific and technological achievement in the i-th field is calculated. The preset overall fitness evaluation value threshold For comparison, the data is obtained by combining the analysis data of the two dimensions of AI evaluation module and expert evaluation module. The human-machine combined judgment method can improve the accuracy of field matching, and will not cause inaccurate matching of technical requirements due to deviations in the understanding of professional terms. It can make an accurate assessment of the overall adaptability of the s-th scientific and technological achievement in the i-th field, thereby improving the conversion efficiency and application value of scientific and technological achievements.

[0028] See also Figure 2 As shown, a scientific and technological achievement management platform based on field matching includes: Expert scoring module, which is used for multiple experts to conduct online scoring of the suitability of each scientific and technological achievement in different fields in the scientific and technological achievement management platform; The data analysis module is used to analyze the weight of each expert based on their academic background, practical experience, and industry influence. The expert evaluation module is used to analyze the textual suitability of each scientific and technological achievement in different fields by combining the weight value of each expert and the scoring results of the field matching suitability of each scientific and technological achievement in different fields; The AI evaluation module is used to analyze the professional adaptability of various scientific and technological achievements in different fields by combining three dimensions: technical similarity, domain association strength, and dynamic adaptability; The field matching module is used to combine the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the suitability of various scientific and technological achievements in different fields; Through the above technical solution, this embodiment provides an expert scoring module for online scoring of the field matching suitability of various scientific and technological achievements in different fields in the scientific and technological achievement management platform by multiple experts. Then, the data analysis module analyzes the weight value of each expert based on the data of each expert in three dimensions: academic background, practical experience and industry influence. Then, the expert evaluation module combines the weight value of each expert and the field matching suitability scoring results of each scientific and technological achievement in different fields to analyze the text adaptability of each scientific and technological achievement in different fields. Finally, the AI evaluation module combines the three dimensions of technical similarity, field association strength and dynamic adaptability to analyze the professional adaptability of each scientific and technological achievement in different fields. The field matching module combines the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of each scientific and technological achievement in different fields. Through such settings and the scientific allocation of expert weights, the accuracy and reliability of matching in the field of scientific and technological achievements can be significantly improved, thereby improving the reliability of the text adaptability analysis results of various scientific and technological achievements in different fields, and avoiding the situation where the understanding of professional terminology leads to inaccurate matching of technical requirements. Finally, based on this data combined with the evaluation results of the AI evaluation module, the final judgment of the adaptability of various scientific and technological achievements in different fields is made in a human-machine combined manner, which can further improve the accuracy of the judgment results, thereby improving the accuracy of the matching results in the field of scientific and technological achievements.

[0029] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope 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 scientific and technological achievement management method based on field matching, characterized by: The method comprises: S1: Establish an expert scoring module, and use multiple experts in the expert scoring module to score the field matching suitability of each scientific and technological achievement in the scientific and technological achievement management platform in different fields online; S2: The data analysis module analyzes the weight of each expert based on their academic background, practical experience, and industry influence. S3: The expert evaluation module combines the weight of each expert and the scoring results of the field matching suitability of each scientific and technological achievement in different fields to analyze the textual suitability of each scientific and technological achievement in different fields; S4: The AI evaluation module combines the three dimensions of technology similarity, domain relevance, and dynamic adaptability to analyze the professional adaptability of various scientific and technological achievements in different fields; S5: The field matching module combines the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of each scientific and technological achievement in different fields.

2. The scientific and technological achievement management method based on field matching according to claim 1 is characterized in that: The analysis process in S2 includes: By formula Calculate the weighted influence coefficient of the a-th expert in the i-th field ; Among them, a is any scoring expert in the expert scoring module, i is any matching field, is the number of papers published by the a-th expert in the i-th field, is the preset number of papers published, is the H index of the a-th expert in the i-th field, is the preset H index, To define a function, if ,make Otherwise, let , is the amount of project experience of the a-th expert in the i-th field, is the preset project experience quantity, is the number of technology transformation achievements of the a-th expert in the i-th field, is the preset number of technology transformation results, The industry influence coefficient of the a-th expert in the i-th field is set based on empirical fitting. and is the proportional coefficient, which is set according to empirical fitting. is the error adjustment coefficient, which is obtained by training the deep learning module based on a large amount of historical data.

3. The scientific and technological achievement management method based on field matching according to claim 2 is characterized in that: The analysis process in S2 further includes: By the weight influence coefficient of the a-th expert in the i-th field Assign a value to generate a coefficient between 1 and 1.5, which is affected by the weight of the a-th expert in the i-th field. The weight of the a-th expert in the i-th field increases with the increase of ; Among them, the weight influence coefficient of the a-th expert in the i-th field is The corresponding weight value of the a-th expert in the i-th field is .

4. The scientific and technological achievement management method based on field matching according to claim 1 is characterized in that: The analysis process in S3 includes: By formula Calculate the text suitability evaluation value of the sth scientific and technological achievement in the i-th field ; Among them, s is any scientific and technological achievement in the scientific and technological achievement management platform, m is the total number of experts participating in the scoring in the expert scoring module, The score given by the a-th expert to the suitability of the s-th scientific and technological achievement in the i-th field, For all The average value of .

5. The scientific and technological achievement management method based on field matching according to claim 4 is characterized in that: The analysis process in S3 also includes: By evaluating the text suitability of the s-th scientific and technological achievement in the i-th field Compatibility evaluation threshold Make a comparison; like , judge that the text adaptability of the s-th scientific and technological achievement in the i-th field is good, and further combine AI to conduct professional adaptability evaluation; like , judge that the text adaptability of the sth scientific and technological achievement in the i-th field is not high and the field needs to be changed.

6. The scientific and technological achievement management method based on field matching according to claim 5 is characterized in that: The analysis process in S4 includes: When the text adaptation of the s-th scientific and technological achievement in the i-th field is judged to be good: By formula Calculate the professional fitness evaluation value of the sth scientific and technological achievement in the i-th field ; in, is the technical similarity index of the s-th scientific and technological achievement in the i-th field, is the field correlation strength index of the s-th scientific and technological achievement in the i-th field, is the dynamic adaptability index of the sth scientific and technological achievement in the i-th field, 、 and is the weight coefficient, which is set according to empirical fitting, and .

7. The scientific and technological achievement management method based on field matching according to claim 6 is characterized in that: The analysis process in S5 includes: By formula Calculate the overall fitness evaluation value of the sth scientific and technological achievement in the i-th field ; And by evaluating the overall fitness of the s-th scientific and technological achievement in the i-th field The preset overall fitness evaluation value threshold Make a comparison; like , judge that the overall adaptability of the s-th scientific and technological achievement in the i-th field is high, and match the scientific and technological achievement to the field to achieve priority optimization of the matching results; like , judge that the overall adaptability of the s-th scientific and technological achievement in the i-th field is low, and the scientific and technological achievement is not applicable to the current field; in, and is the specific gravity coefficient, which is set based on empirical fitting.

8. A scientific and technological achievement management platform based on field matching, applicable to a system of a scientific and technological achievement management method based on field matching according to any one of claims 1 to 7, characterized in that: The platform includes: Expert scoring module, which is used for multiple experts to conduct online scoring of the suitability of each scientific and technological achievement in different fields in the scientific and technological achievement management platform; The data analysis module is used to analyze the weight of each expert based on their academic background, practical experience, and industry influence. The expert evaluation module is used to analyze the textual suitability of each scientific and technological achievement in different fields by combining the weight value of each expert and the scoring results of the field matching suitability of each scientific and technological achievement in different fields; The AI evaluation module is used to analyze the professional adaptability of various scientific and technological achievements in different fields by combining three dimensions: technical similarity, domain association strength, and dynamic adaptability; The field matching module is used to combine the evaluation results of the expert evaluation module and the AI evaluation module to make a final judgment on the adaptability of various scientific and technological achievements in different fields.

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