Enterprise science and technology quality state diagnosis and innovation ability evaluation method and platform

Abstract

The invention discloses an enterprise science and technology quality state diagnosis and innovation ability evaluation method and platform, and belongs to the field of computer application, and the method comprises the steps: obtaining enterprise data based on enterprise self-evaluation and enterprise public data; constructing an evaluation index system based on the science and technology quality and innovation ability of the enterprise, evaluating enterprise data, and obtaining an actual total score of comprehensive evaluation of the science and technology quality and innovation ability of the enterprise, a high-low sub-item comprehensive influence score in each three-level index actual score and a high-low sub-item comprehensive influence score of a key index actual score; comprehensive evaluation indexes of science and technology quality and innovation ability of the enterprise are obtained; and based on the enterprise science and technology quality and innovation ability comprehensive evaluation index, grading the enterprise science and technology quality and innovation ability to obtain an evaluation result. The method not only pays attention to the evaluation of the technical innovation ability of the enterprise, but also covers the diagnosis of the science and technology quality, so that the science and technology strength and development potential of the enterprise can be reflected more comprehensively.

Description

Technical Field

[0001] The present invention belongs to the field of computer applications, and in particular relates to a method and platform for diagnosing the technological quality and evaluating the innovation capability of an enterprise. Background Art

[0002] The diagnosis of the new quality productivity level (referred to as quality) of enterprises and the evaluation of their scientific and technological innovation capabilities involve knowledge from multiple fields, including science and technology, talents, innovation, operations, management, resources, and achievements. The design of evaluation methods and indicators requires comprehensive consideration of multiple factors. However, in actual operations, due to the diversity of indicators representing enterprise fields, development stages, scientific and technological innovation capabilities, differences in data collection, and uneven data evaluation quality, the evaluation of enterprise technology quality and innovation capabilities has become a technical problem. Among them, the existing evaluation methods mainly include qualitative evaluation and quantitative evaluation. Qualitative evaluation is carried out through expert review and other methods, and is easily affected by subjective factors; quantitative evaluation is carried out through statistical analysis and other methods, but the selection of evaluation indicators and the determination of weights are somewhat subjective.

[0003] At the same time, the limitations of the evaluation method are also reflected in its lack of adaptability to new technologies and new models. With the rapid development of science and technology, some new technologies and new models continue to emerge, but the existing evaluation methods may not accurately reflect the impact of these new technologies and new models on the new quality productivity level and scientific and technological innovation capabilities of enterprises. Some evaluation results are often presented in the form of complex mathematical models or charts, which are difficult for non-professionals to understand and apply. Therefore, in order to accurately, comprehensively and objectively evaluate the technological quality and innovation capabilities of enterprises, it is necessary to improve the relevant indicator system in the context of new quality productivity, combined with the current cutting-edge trends of scientific and technological innovation and possible future development trends, as well as the characteristics and needs of different scientific and technological innovation subjects, and comprehensively consider the new quality productivity level and scientific and technological innovation capabilities of enterprises in many aspects, including technology research and development, achievement transformation, market competition, business system support, digitalization and external resource integration. And explore and innovate evaluation methods and platforms. Optimize the evaluation model, including the selection of evaluation indicators, the determination of weights, the assumptions of the model, and the distribution characteristics of data. At the same time, it is also necessary to actively refer to advanced machine learning algorithms and artificial intelligence technologies to improve the accuracy and generalization ability of the evaluation model. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method for diagnosing the technological quality and evaluating the innovation capability of an enterprise, comprising:

[0005] Acquire enterprise reported data based on the synchronous application of mini-programs, apps and web pages, and acquire enterprise data based on the enterprise reported data and enterprise public information;

[0006] Construct an evaluation index system based on the enterprise's technological quality and innovation capabilities;

[0007] Evaluate the enterprise data based on the evaluation index system to obtain the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation capabilities, the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator, and the comprehensive impact score of the high and low sub-items in the actual scores of key indicators;

[0008] Obtain the comprehensive evaluation index of the enterprise's technology quality and innovation capability based on the actual total score of the comprehensive evaluation of the enterprise's technology quality and innovation capability, the comprehensive impact score of the high and low sub-items in the actual scores of each third-level indicator, and the comprehensive impact score of the high and low sub-items in the actual scores of key indicators;

[0009] Building a long short-term memory network model based on the evaluation index system, and training the long short-term memory network model through historical data sets to obtain a capability evaluation model;

[0010] Inputting the enterprise data into the capability evaluation model to obtain a capability evaluation result;

[0011] Based on the comprehensive evaluation index of the enterprise's technological quality and innovation capability and the capability evaluation results, the enterprise's technological quality and innovation capability are graded to obtain an evaluation result.

[0012] Preferably, the evaluation index system includes primary indicators, secondary indicators and tertiary indicators;

[0013] The first-level indicators include core technology research and development capabilities, scientific and technological achievement transformation capabilities, target market competitiveness, business system support capabilities, digital enhancement capabilities, external resource integration capabilities, enterprise dual-carbon management and implementation capabilities, and new quality productivity development capabilities;

[0014] The secondary indicators include but are not limited to technology R&D planning capabilities, R&D organizational management capabilities, enterprise dual carbon management system, resource consumption, pollution prevention and control, and climate change;

[0015] The third-level indicators include but are not limited to R&D planning and design level, R&D organization construction level, R&D team talent allocation, and carbon peak and carbon neutrality.

[0016] Preferably, the calculation expression for the actual total score of the comprehensive evaluation of the enterprise's technological quality and innovation capability is:

[0017]

[0018] Among them, P k The actual total score of the comprehensive evaluation of the enterprise's technological quality and innovation capabilities; N k is the number of third-level indicators under the corresponding capability indicator; G kiis the normalized score of the ith third-level indicator under the corresponding capability indicator, Q ki is the weight of the i-th third-level indicator under the corresponding capability indicator.

[0019] Preferably, the calculation expression of the comprehensive impact score of the high and low sub-items in the actual score of each three-level indicator is:

[0020] S=s 1 x 1 -s 2 x 2 ;

[0021] Among them, S is the impact score of the high and low items in the actual score of the three-level indicators; s 1 is the high score item influence coefficient; x 1 The number of indicators whose actual scores are above 80% of the full score of the indicator; 2 is the low sub-item impact coefficient; x 2 The number of indicators whose actual scores are below 50% of the full score of the indicator.

[0022] Preferably, the calculation expression of the comprehensive impact score of the high and low sub-items of the actual score of the key indicator is:

[0023] K=k 1 y 1 -k 2 y 2 ;

[0024] Among them, K is the impact score of the high and low items in the actual score of the key indicators in the three-level indicators; k 1 is the impact coefficient of the high-scoring items of key indicators; 1 k is the number of key indicators whose actual scores are above 80% of the full score of the indicator; 2 is the low item impact coefficient; 2 The number of key indicators whose actual scores are less than 50% of the full score of the indicator.

[0025] Preferably, the calculation expression of the comprehensive evaluation index is:

[0026] Z = P + S + K;

[0027] Among them, Z is the comprehensive evaluation index of the enterprise's scientific and technological quality and innovation capability; P is the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation capability; S is the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator; K is the comprehensive impact score of the high and low sub-items in the actual scores of the key indicators.

[0028] Preferably, the expression of the long short-term memory network model is:

[0029]

[0030] in, is the output vector of the forward LSTM hidden layer at time t, (t=1, 2, ..., N), which is the input vector x at the current time t and the forward LSTM output vector at the previous moment jointly determined;

[0031] in, is the output vector of the reverse LSTM hidden layer at time t, (t=1, 2, ..., N), which is the input vector x at the current time t and the reverse LSTM output vector of the previous moment jointly determined;

[0032] h t is the output of the BiLSTM model, ω t is the weight matrix of the forward LSTM output; v t is the weight matrix of the reverse LSTM output; b t is the bias of the weight matrix.

[0033] Preferably, the method further includes: manually judging the evaluation results based on enterprise needs, and adjusting the evaluation results based on the judgment results to obtain final evaluation results.

[0034] On the other hand, the present invention also provides a platform for enterprise technology quality diagnosis and innovation capability evaluation method, including:

[0035] The data collection module is used to collect multi-dimensional data on enterprise foundation, operation, scientific research, talents, and knowledge achievements through data crawler technology;

[0036] Data storage module, used to establish a data storage system using the cloud platform;

[0037] Data processing module, used to clean, integrate and analyze data based on artificial intelligence and big data technologies;

[0038] The indicator diagnosis and evaluation module is used to build an interactive platform to fill in enterprise information and indicator options, automatically classify the industry and analyze the industry status based on the reported information, identify the enterprise development stage and technological innovation conditions based on the industry status, trigger the pre-loaded diagnosis and evaluation model, optimize and start the evaluation indicator system, assign indicator weights based on the actual situation of the industry or enterprise or introduce expert settings, and automatically perform diagnosis and evaluation scoring in the background to generate diagnosis and evaluation indexes and grading results;

[0039] The data analysis module is used to process the diagnostic evaluation index and grading results through data analysis algorithms, generate a digital portrait of the company's scientific and technological innovation, and display analysis results and evaluation reports.

[0040] Compared with the prior art, the present invention has the following advantages and technical effects:

[0041] The present invention combines qualitative and quantitative evaluation methods to ensure the comprehensiveness and accuracy of the evaluation. By using direct interactive reporting, designing efficient data capture mechanisms and diagnostic evaluation models, it provides a data basis and implementable directional measures for in-depth analysis of scientific and technological innovation needs and targeted services. In terms of platform architecture design, the various functional modules of the platform and their interrelationships are elaborated in detail, including key links such as data collection, processing, analysis, and report generation. The platform function development focuses on user experience and operational convenience to ensure that users can easily fill in the real situation of the enterprise and obtain a self-evaluation report. At the same time, the think tank and expert system associated with the platform are used for in-depth analysis and consulting services, and digital portraits of enterprise innovation are carried out to intuitively reflect the technological quality and innovation ability level of the enterprise, providing strong support for the strategic decision-making and future development of the enterprise. This patent diagnoses the technological quality and innovation ability of enterprises from multiple dimensions, uses advanced algorithms and models to intelligently analyze the technological quality and innovation ability of enterprises, and provides intuitive evaluation results and visualization reports, which are convenient for enterprises to quickly understand their own conditions, and can timely discover changes in the technological quality and innovation ability of enterprises, providing timely basis for the strategic adjustment of enterprises. It is also possible to establish a team of experts and information database for technology evaluation and enterprise diagnosis, organize expert groups to investigate and analyze problems faced by enterprises in technological innovation, find solutions to the problems and formulate specific plans. Through the evaluation results, enterprises can allocate R&D resources more accurately, improve R&D efficiency and input-output ratio, and thus enhance the innovation ability and market competitiveness of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0043] Figure 1 This is a functional architecture diagram of the enterprise technology quality diagnosis and innovation capability evaluation platform according to an embodiment of the present invention;

[0044] Figure 2 The present invention is a flowchart of a method for diagnosing enterprise technology quality and evaluating innovation capabilities on a platform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0046] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0047] Embodiment 1

[0048] like Figure 1-2 As shown, this embodiment provides a method for diagnosing the technological quality and evaluating the innovation capability of an enterprise, including:

[0049] Acquire enterprise reported data based on the synchronous application of mini-programs, apps and web pages, and acquire enterprise data based on the enterprise reported data and enterprise public information;

[0050] Construct an evaluation index system based on the enterprise's technological quality and innovation capabilities;

[0051] Evaluate the enterprise data based on the evaluation index system to obtain the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation capabilities, the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator, and the comprehensive impact score of the high and low sub-items in the actual scores of key indicators;

[0052] Obtain the comprehensive evaluation index of the enterprise's technology quality and innovation capability based on the actual total score of the comprehensive evaluation of the enterprise's technology quality and innovation capability, the comprehensive impact score of the high and low sub-items in the actual scores of each third-level indicator, and the comprehensive impact score of the high and low sub-items in the actual scores of key indicators;

[0053] Building a long short-term memory network model based on the evaluation index system, and training the long short-term memory network model through historical data sets to obtain a capability evaluation model;

[0054] Inputting the enterprise data into the capability evaluation model to obtain a capability evaluation result;

[0055] Based on the comprehensive evaluation index of the enterprise's technological quality and innovation capability and the capability evaluation results, the enterprise's technological quality and innovation capability are graded to obtain an evaluation result.

[0056] Furthermore, the evaluation index system includes primary indicators, secondary indicators and tertiary indicators;

[0057] The first-level indicators include core technology research and development capabilities, scientific and technological achievement transformation capabilities, target market competitiveness, business system support capabilities, digital enhancement capabilities, external resource integration capabilities, enterprise dual-carbon management and implementation capabilities, and new quality productivity development capabilities;

[0058] The secondary indicators include but are not limited to technology R&D planning capabilities, R&D organizational management capabilities, enterprise dual carbon management system, resource consumption, pollution prevention and control, and climate change;

[0059] The third-level indicators include but are not limited to R&D planning and design level, R&D organization construction level, R&D team talent allocation, and carbon peak and carbon neutrality.

[0060] Furthermore, the calculation expression for the actual total score of the comprehensive evaluation of the enterprise's technological quality and innovation capability is:

[0061]

[0062] Among them, P k The actual total score of the comprehensive evaluation of the enterprise's technological quality and innovation capabilities; N k is the number of third-level indicators under the corresponding capability indicator; G ki is the normalized score of the ith third-level indicator under the corresponding capability indicator, Q ki is the weight of the i-th third-level indicator under the corresponding capability indicator.

[0063] Furthermore, the calculation expression of the comprehensive impact score of the high and low sub-items in the actual score of each third-level indicator is:

[0064] S=s 1 x 1 -s 2 x 2 ;

[0065] Among them, S is the impact score of the high and low items in the actual score of the three-level indicators; s 1 is the high score item influence coefficient; x 1 The number of indicators whose actual scores are above 80% of the full score of the indicator; 2 is the low sub-item impact coefficient; x 2 The number of indicators whose actual scores are below 50% of the full score of the indicator.

[0066] Furthermore, the calculation expression of the comprehensive impact score of the high and low sub-items of the actual score of the key indicator is:

[0067] K=k 1 y 1 -k 2 y 2 ;

[0068] Among them, K is the impact score of the high and low items in the actual score of the key indicators in the three-level indicators; k 1 is the impact coefficient of the high-scoring items of key indicators; 1 k is the number of key indicators whose actual scores are above 80% of the full score of the indicator; 2 is the low item impact coefficient;2 The number of key indicators whose actual scores are less than 50% of the full score of the indicator.

[0069] Furthermore, the calculation expression of the comprehensive evaluation index is:

[0070] Z = P + S + K;

[0071] Among them, Z is the comprehensive evaluation index of the enterprise's scientific and technological quality and innovation capability; P is the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation capability; S is the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator; K is the comprehensive impact score of the high and low sub-items in the actual scores of the key indicators.

[0072] Furthermore, the expression of the long short-term memory network model is:

[0073]

[0074] in, is the output vector of the forward LSTM hidden layer at time t, (t=1, 2, ..., N), which is the input vector x at the current time t and the forward LSTM output vector at the previous moment jointly determined;

[0075] in, is the output vector of the reverse LSTM hidden layer at time t, (t=1, 2, ..., N), which is the input vector x at the current time t and the reverse LSTM output vector of the previous moment jointly determined;

[0076] h t is the output of the BiLSTM model, ω t is the weight matrix of the forward LSTM output; v t is the weight matrix of the reverse LSTM output; b t is the bias of the weight matrix.

[0077] Furthermore, it also includes: manually judging the evaluation results based on enterprise needs, adjusting the evaluation results based on the judgment results, and obtaining final evaluation results.

[0078] The specific process is:

[0079] 1. Construction of indicator system:

[0080] The evaluation index system is mainly composed of 8 first-level indicators, 38 second-level indicators, more than 100 third-level indicators and brief scenario demonstrations, as well as corresponding weights and assignments. Among them, the second-level, third-level and scenario demonstrations (which can also be used as fourth-level indicators) can be adjusted, enriched and optimized in the upgraded version of the system platform as practice develops and research deepens. This method and platform aims to provide scientific, systematic, quantifiable and assessable evaluation indicators for the technological innovation status of science and technology enterprises, especially small, medium and micro enterprises in the province, and the situation (quality) of constructing new quality productivity of enterprises, and provide targeted guidance, plans and practical references for the scientific and technological factor input, effectiveness, industry level and consulting services of participating enterprises.

[0081] 1. Primary indicators:

[0082] The first-level indicators include eight capabilities: "core technology R&D capability", "scientific and technological achievement transformation capability", "target market competitiveness", "operating system support capability", "digital improvement capability", "external resource integration capability", "enterprise dual-carbon management and implementation capability" and "new quality productivity development capability", which constitute a unified, complementary, hierarchical and collaboratively supported scientific and technological quality logic system, and present a relatively comprehensive and clear scientific and technological innovation level and scientific and technological quality of the enterprise;

[0083] 2. Secondary indicators:

[0084] The secondary indicators include 30 evaluation modules, including "technical R&D planning capabilities", "R&D organizational management capabilities", "enterprise's 'dual carbon' management system", "resource consumption", "pollution prevention and control" and "climate change", which clarify and enrich the company's R&D, results transformation, product competitiveness, market development, production and operation support, digitalization, resource integration and social responsibility capabilities.

[0085] Core technology R&D capabilities: technology R&D planning capabilities, R&D organization and management capabilities, R&D project driving capabilities, core technology innovation level, and intangible asset operation capabilities;

[0086] Ability to transform scientific and technological achievements: ability to commercialize scientific and technological achievements, ability to industrialize scientific and technological achievements, ability to commercialize scientific and technological achievements, and ability to capitalize scientific and technological achievements;

[0087] Target market competitiveness: target market analysis ability, target market planning ability, sales system driving ability, new market development ability;

[0088] Business system support capabilities: business system management capabilities, enterprise capital operation system capabilities, innovation risk management capabilities, scientific and technological innovation qualifications, and entrepreneurial innovation driving force;

[0089] Digital enhancement capabilities: product digital enhancement capabilities, production digital enhancement capabilities, marketing digital enhancement capabilities, and management digital enhancement capabilities;

[0090] External resource integration capabilities: industrial resource integration capabilities, scientific and technological innovation resource integration capabilities, government resource integration capabilities, and service resource integration capabilities;

[0091] “Dual carbon” management and implementation capabilities: dual carbon environmental system control, resource consumption, pollution prevention and control, and climate change;

[0092] Ability to develop new quality productivity: proportion of enterprise R&D investment, degree of application of digital technology, level of equipment intelligence, product R&D and production efficiency, innovation resource allocation capability, proportion of high-quality and highly skilled talents in the enterprise, proportion of the number of enterprise patents in sales revenue, and revolutionary breakthroughs in product technology.

[0093] 3. Level 3 indicators:

[0094] On the basis of inheriting and developing the first- and second-level indicator system, combined with the company's scientific and technological innovation practices and service demand intentions, more than 100 third-level indicators such as "R&D planning and design level", "R&D organization construction level", "R&D team talent allocation", "carbon peak" and "carbon neutrality" have been formulated. These indicators are simple and clear, more operational, and more prominent in the evaluation of the company's technological quality and innovation trends.

[0095] 2. Diagnostic evaluation model and indicator weight assignment:

[0096] In the proposed scenario demonstration, different weights are assigned to each of the three-level indicators based on the importance of the enterprise's technological innovation capabilities and taking into account factors such as the scale, nature, development stage, and industry or field of the evaluated enterprise. In order to more scientifically evaluate the technological innovation capabilities of enterprises, it is necessary to assign reasonable weights to indicators at all levels. The weight assignment can be carried out through expert scoring, data analysis, and other methods to ensure the objectivity and accuracy of the evaluation results.

[0097] 1. Indicator capability evaluation model:

[0098]

[0099] Among them, P k =(P 1 ,…,P k ) correspond to the total scores of the ability modules such as "core technology research and development capability", "scientific and technological achievement transformation capability", "target market competitiveness capability", "target market planning capability", "operation system support capability", "digital improvement capability", "external resource integration capability", "enterprise dual carbon management and implementation capability" and "new quality productivity development capability". N k =(N 1,…,N k ) are the number of third-level indicators under the corresponding capability indicators. ki =(G 11 ,…,G ki ) are the normalized scores of the ith third-level indicators under the corresponding capability indicators, that is, G ki =(g ki -g kimin ) / (g kimax -g kimin ). Q ki =(Q 11 ,…,Q ki ) are the weights of the ith third-level indicator under the corresponding capability index. All or part of the indicators will be selected based on the industry, development level, scale, nature, etc. of the diagnosed or evaluated enterprise, and will be determined by comprehensively adopting expert consultation method, entropy weight method and regression analysis method.

[0100] ⑴Core technology research and development capabilities:

[0101]

[0102] i is the number of third-level indicators under this capability indicator, which is currently 11.

[0103] ⑵ Ability to transform scientific and technological achievements:

[0104]

[0105] i is the number of the third-level indicators under this capability indicator, which is currently 14. ⑶ Target market competitiveness:

[0106]

[0107] i is the number of third-level indicators under this capability indicator, which is currently 12. (4) Business system support capability:

[0108]

[0109] i is the number of third-level indicators under this capability indicator, which is currently 10. ⑸ Digital enhancement capability:

[0110]

[0111] i is the number of third-level indicators under this capability indicator, which is currently 9. (6) External resource integration capability:

[0112]

[0113] i is the number of third-level indicators under this capability indicator, which is currently 10.

[0114] ⑺Enterprise dual carbon management and implementation capabilities

[0115]

[0116] i is the number of third-level indicators under this capability indicator, which is currently 10.

[0117] ⑻ New quality productivity development capability

[0118]

[0119] i is the number of third-level indicators under this capability indicator, which is currently 16.

[0120] 2. Total score of diagnostic evaluation;

[0121] P=P 1 +P 2 +P 3 +P 4 +P 5 +P 6 +P 7 +P 8 ;

[0122] 3. High and low score indicators affect the score

[0123] It is divided into high and low score influencing items of all three-level indicators and high and low score influencing items of high-weight key indicators.

[0124] (1) The impact items of the high and low scores of the third-level indicators;

[0125] S=s 1 x 1 -s 2 x 2 ;

[0126] S is the impact score of the high and low items in the actual score of the three-level indicators. 1 is the high score item influence coefficient. 1 The number of indicators with actual scores exceeding 80% of the full score of the indicator. 2 It is the low item impact coefficient. 2 The number of indicators whose actual scores are below 50% of the full score of the indicator.

[0127] (2) High-weight key indicators with high and low scores;

[0128] K=k 1 y 1 -k 2 y 2 ;

[0129] K is the impact score of the high and low items in the actual score of the key indicators in the three-level indicators. 1It is the impact coefficient of the high-scoring items of key indicators. 1 The number of key indicators whose actual scores are above 80% of the full score of the indicator. 2 It is the low item impact coefficient. 2 The number of key indicators whose actual scores are less than 50% of the full score of the indicator.

[0130] 4. Comprehensive diagnostic evaluation index;

[0131] Z = P + S + K;

[0132] Z is the comprehensive evaluation index of the enterprise's technology quality and innovation ability. P is the actual total score of the comprehensive evaluation of the enterprise's technology quality and innovation ability. S is the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator. K is the comprehensive impact score of the high and low sub-items in the actual scores of the key indicators.

[0133] 5. Classification of scientific and technological quality and innovation capabilities;

[0134] In the grading evaluation, specific enterprise cases should be taken as the object, and factors such as industry development status and evaluation purpose should be considered. The weight of each indicator should be clarified, and the corresponding score should be obtained through the evaluation model in the platform. Thus, according to the range of comprehensive evaluation indicators, it can be divided into four levels: A, B, C, and D.

[0135] Grade A: The company’s technological quality is top-notch and its innovation capabilities are excellent;

[0136] Class B: The enterprise has advanced technology and relatively good innovation capabilities, but still has shortcomings in a few indicators;

[0137] Grade C: The enterprise has good technology quality and average innovation capability, but some indicators have obvious shortcomings;

[0138] Grade D: The company’s technological quality needs to be improved and its innovation capabilities are insufficient. There are many shortcomings in indicators, and some gaps are large.

[0139] 3. Platform Architecture Design

[0140] The platform architecture design should cover multiple aspects such as data collection, storage, processing, analysis and display. Specifically, it includes:

[0141] 1. Data collection module: Through data crawler technology, collect multi-dimensional data such as enterprise foundation, operation, scientific research, talents, and knowledge achievements.

[0142] 2. Data storage module: Use mature and reliable cloud platforms to establish an efficient data storage system to ensure data integrity and security.

[0143] 3. Data processing module: Use artificial intelligence and big data technologies to clean, integrate and analyze data.

[0144] 4. Index diagnosis and evaluation module: the interactive platform reports enterprise information and index options - the platform automatically classifies the industry to which it belongs and analyzes the industry status - the platform identifies the enterprise's development stage and technological innovation conditions - the platform triggers the pre-loaded diagnosis and evaluation model - the platform optimizes and starts the evaluation index system - the indicator weights are assigned based on the actual situation of the industry / enterprise or by introducing expert settings - the background automatically performs diagnostic evaluation scoring - generates diagnostic evaluation index and grading results.

[0145] 5. Data analysis module: Generates a digital portrait of the company's technological innovation through data analysis algorithms. Provides an intuitive and friendly interface to display analysis results and evaluation reports.

[0146] 4. Platform Function Development

[0147] 1. Enterprise reporting function: provides an interactive interface for enterprise reporting and supports enterprises to upload qualitative and quantitative evaluation data.

[0148] 2. Data analysis function: Use artificial intelligence algorithms to conduct in-depth analysis of corporate data and generate innovative digital portraits.

[0149] 3. Self-evaluation report generation function: Based on the analysis results, automatically generate the enterprise's technological innovation and quality self-evaluation report.

[0150] 4. Consulting service function: import think tank and expert system to provide enterprises with personalized consulting service reports.

[0151] 5. Data Security

[0152] The platform should establish a complete data security protection mechanism, including data encryption, access control, backup and recovery measures, to ensure the security and privacy of enterprise data.

[0153] 6. Implementation steps

[0154] 1. Data collection: After the enterprise submits basic information, multi-dimensional data such as enterprise foundation, operation, scientific research, talents, and knowledge achievements are collected through the background data crawler.

[0155] 2. Data analysis: Use artificial intelligence and big data technologies to conduct in-depth analysis of corporate data and generate a digital portrait of the company's innovation capabilities and technological quality.

[0156] 3. Self-evaluation report generation: Based on the analysis results, the company’s technological innovation and quality self-evaluation report is automatically generated.

[0157] 4. Expert consultation: Introduce think tank and expert system to provide enterprises with personalized consulting service reports.

[0158] 5. Application of diagnostic evaluation: Based on the evaluation results and consulting services, we help enterprises identify their strengths and weaknesses in innovation and develop improvement plans.

[0159] The evaluation indicators of this embodiment include: first-level indicators: core technology research and development capabilities; second-level indicators: technology research and development planning capabilities;

[0160] Level 3 indicators: R&D planning and design level; Evaluation content: whether there is a medium- and long-term plan; Evaluation content: medium- and long-term planning level;

[0161] Level 3 indicators: R&D planning and implementation capabilities; Evaluation content: whether there is a work plan; Evaluation content: implementation system evaluation (repeated multiple times); Evaluation content: implementation progress; Evaluation content: number of successful cases; Level 2 indicators: R&D organizational management capabilities;

[0162] Level 3 indicators: R&D organizational construction level; Evaluation content: R&D organizational system level; Evaluation content: R&D management system level; Evaluation content: R&D incentive mechanism level; Evaluation content: Talent training ability level;

[0163] Level 3 indicators: R&D organization management level; Evaluation content: whether there are independent research projects; Evaluation content: Research project direction planning; Evaluation content: Research project procedural integrity; Evaluation content: whether there is a technical demonstration group; Evaluation content: whether there is a dedicated project leader; Evaluation content: Project R&D team level; Evaluation content: Management team capability emphasis; Evaluation content: whether there is a mid-term inspection; Evaluation content: How to deal with projects that do not achieve their goals; Evaluation content: Project completion acceptance capability;

[0164] Level 3 indicators: R&D organization work performance; Evaluation content: The total number of R&D results achieved by the enterprise; Evaluation content: Core technology R&D results; Evaluation content: Core technology pilot and pilot products; Evaluation content: The number of core technologies launched; Evaluation content: Achieved technology level; Evaluation content: The technology level of core products; Evaluation content: The value of technology R&D results; Evaluation content: The proportion of core technology results in revenue; Evaluation content: The proportion of core technology results in profits and taxes; Evaluation content: The brand effectiveness and market competition role of core technologies; Level 2 indicators: R&D project driving ability;

[0165] Level 3 indicators: R&D team talent allocation; Evaluation content: R&D team size; Evaluation content: leadership talent level; Evaluation content: number and level of team members; Evaluation content: teamwork and division of labor level; Evaluation content: team experience;

[0166] Level 3 indicators: R&D funding level; Evaluation content: Annual R&D funding scale; Evaluation content: R&D investment ratio industry level; Evaluation content: R&D funding to sales revenue ratio;

[0167] Level 3 indicators: R&D equipment support capability; Evaluation content: Cumulative number of R&D equipment; Evaluation content: Level of key equipment; Evaluation content: Level of supporting facilities; Evaluation content: Laboratory construction; Level 2 indicators: Core technology innovation level;

[0168] Level 3 indicators: core technology innovation level; evaluation content: scientific and technological achievement level; evaluation content: core technology complexity: achievements\materials\instruments and equipment\large equipment\system platform;

[0169] Level 3 indicators: Difficulty of core technology innovation; Evaluation content: Scale of capital investment; Evaluation content: Time required for project implementation;

[0170] Level 3 indicators: progress of core technology innovation; evaluation content: what stage it is in; Level 2 indicators: intangible asset operation capabilities;

[0171] Level 3 indicators: Intellectual property operation capabilities; Evaluation content: Intellectual property management organization setup; Evaluation content: Intellectual property planning and layout; Evaluation content: Intellectual property investment, transaction, and cooperation experience; Evaluation content: Whether intellectual property is effectively protected;

[0172] Level 3 indicators: technical standard management system; evaluation content: setting of technical standard management system; evaluation content: technical standard development results; evaluation content: whether technical standards are released; evaluation content: technical standard application results; first-level indicators: ability to transform scientific and technological achievements; second-level indicators: ability to productize scientific and technological achievements;

[0173] Level 3 indicators: product development and design capabilities; evaluation content: product design organization; evaluation content: product design results;

[0174] Level 3 indicators: product experimental verification capability; evaluation content: product development laboratory capability; evaluation content: whether there is product pilot equipment; evaluation content: product pilot base capability;

[0175] Level 3 indicators: Product upgrade support capability; Evaluation content: Secondary development support capability; Evaluation content: Secondary development support performance;

[0176] Level 3 indicators: product application service capability; evaluation content: application service capability; evaluation content: application service performance; Level 2 indicators: scientific and technological achievements industrialization capability;

[0177] Level 3 indicators: large-scale production capacity; evaluation content: large-scale production resource allocation capacity; evaluation content: large-scale production equipment set capacity; evaluation content: large-scale production management system capacity;

[0178] Level 3 indicators: high-quality manufacturing capability; evaluation content: key technical team; evaluation content: key technical equipment; evaluation content: quality control capability; evaluation content: high-quality material demand;

[0179] Level 3 indicators: industrial chain control capability; evaluation content: upstream correlation; evaluation content: upstream control capability; evaluation content: downstream correlation; evaluation content: downstream control capability; Level 2 indicators: scientific and technological achievement commercialization capability;

[0180] Level 3 indicators: the degree of policy impact on achievement transformation; evaluation content: the correlation between market transformation and policy; evaluation content: the impact of industry policies;

[0181] Level 3 indicators: target customer positioning capability; evaluation content: whether the positioning is accurately divided; evaluation content: whether there is a precise strategy for users;

[0182] Level 3 indicators: Application scenario response capability; Evaluation content: High-level planning capability; Evaluation content: Business model innovation; Evaluation content: Application scenario design capability; Evaluation content: Application scenario response capability;

[0183] Level 3 indicators: marketing channel management capabilities; evaluation content: marketing management system; evaluation content: channel partners; evaluation content: channel partner management service capabilities; Level 2 indicators: scientific and technological achievement capitalization capabilities;

[0184] Level 3 indicator: Project capitalization planning capability; Evaluation content: Capitalization planning capability (repeated multiple times); Evaluation content: Whether capitalization planning has been done;

[0185] Level 3 indicators: project capitalization investment capacity; evaluation content: self-raised capital investment capacity; evaluation content: external financing capacity;

[0186] Level 3 indicators: project capitalization operation performance; evaluation content: enterprise financing needs in recent years; evaluation content: number of capitalized operation projects; evaluation content: financing performance; evaluation content: technological innovation financing needs; evaluation content: urgency of technological innovation financing; evaluation content: project capitalization operation scale; first-level indicators: target market competitiveness; second-level indicators: target market analysis capabilities;

[0187] Level 3 indicators: Target market judgment scale; Evaluation content: Overall scale of external target market; Evaluation content: Expected scale of the enterprise’s share of target market;

[0188] Level 3 indicator: target market life cycle; evaluation content: life cycle stage;

[0189] Level 3 indicators: target market competition analysis; evaluation content: domestic and foreign competitor analysis; evaluation content: regional competitor analysis; evaluation content: market competition strategy analysis; evaluation content: core product competitive advantage; Level 2 indicators: target market planning capabilities;

[0190] Level 3 indicators: Market planning organization establishment; Evaluation content: Professional market planning organization establishment; Evaluation content: Cooperation with external professional market planning institutions;

[0191] Level 3 indicators: Market planning plan level; Evaluation content: Market planning plan level; Evaluation content: Market planning plan implementation ability;

[0192] Level 3 indicator: market planning success performance; Evaluation content: number of implemented plans; Evaluation content: performance of implemented plans; Level 2 indicator: sales system driving capability;

[0193] Level 3 indicators: marketing system construction capabilities; evaluation content: the level of internal marketing organization construction; evaluation content: the level of external marketing system construction;

[0194] Level 3 indicators: marketing activity support capabilities; evaluation content: market brand promotion investment level; evaluation content: product marketing investment level;

[0195] Level 3 indicators: marketing model innovation capability; evaluation content: requirements for marketing model innovation of scientific and technological innovation products; evaluation content: the level of innovation of marketing model of scientific and technological innovation products achieved by enterprises; first-level indicators: core technology research and development capabilities; second-level indicators: new market development capabilities;

[0196] Level 3 indicators: emerging market planning capabilities; evaluation content: whether there are emerging markets that the product has not entered; evaluation content: whether there is a plan to expand into emerging markets;

[0197] Level 3 indicators: investment capacity in emerging markets; evaluation content: investment capacity of human, material and financial resources; evaluation content: realized investment level;

[0198] Level 3 indicators: performance in emerging market expansion; Evaluation content: market size that has been expanded; Evaluation content: revenue generated from expanded markets; Level 1 indicators: operating system support capabilities; Level 2 indicators: operating system management capabilities;

[0199] Level 3 indicators: enterprise management system level; evaluation content: management organization system construction level; evaluation content: management system construction level; evaluation content: performance incentive mechanism construction level; evaluation content: management innovation construction level; evaluation content: integrity system construction and management level;

[0200] Level 3 indicators: business performance level; Evaluation content: revenue level in the past three years; Evaluation content: profit and tax level in the past three years; Evaluation content: cash flow level in the past three years; Level 2 indicators: enterprise capital operation system capabilities;

[0201] Level 3 indicators: enterprise innovation financing needs; evaluation content: scale of enterprise technological innovation financing needs; evaluation content: degree of resolution of enterprise technological innovation needs;

[0202] Level 3 indicators: Future profit expectations of the enterprise; Evaluation content: Future profit expectation method; Evaluation content: High value-added space of core products; Evaluation content: Future profit growth expectations of the enterprise; Evaluation content: Prediction and prevention and control design of future profit risks; Level 2 indicators: Innovation risk management and control capabilities;

[0203] Level 3 indicators: risk management system construction; evaluation content: comprehensive risk management training; evaluation content: comprehensive risk management department establishment; evaluation content: comprehensive risk management system arrangement;

[0204] Level 3 indicators: corresponding level of innovation risk; evaluation content: level of response to technology iteration risk of science and technology innovation product projects; evaluation content: level of response to financial investment risk of science and technology innovation product projects; evaluation content: level of response to resource allocation risk of science and technology innovation product projects; evaluation content: level of response to market expansion risk of science and technology innovation product projects; Level 2 indicators: science and technology innovation qualification and capability;

[0205] Level 3 indicators: Qualification of technological innovation enterprises; Evaluation content: Has obtained technological innovation qualifications; Evaluation content: Has built technology center qualifications; Evaluation content: Has obtained technological innovation brand awards;

[0206] Level 3 indicators: market operation of enterprise capitalization; evaluation content: realized capital market listing platform; evaluation content: progress of capital market listing in operation; level 2 indicators: driving force of entrepreneur innovation;

[0207] Level 3 indicators: Entrepreneurs’ innovation-driving capabilities; Evaluation content: Entrepreneurs’ background and qualifications in promoting innovation; Evaluation content: Entrepreneurs’ management experience; Evaluation content: Entrepreneurs’ social influence; Evaluation content: Entrepreneurs’ attitude towards supporting technological innovation projects; Evaluation content: Entrepreneurs’ participation in technological innovation projects;

[0208] Level 3 indicators: Entrepreneurs’ innovation-driven performance; Evaluation content: Entrepreneurs’ experience in hosting innovation projects; Evaluation content: Entrepreneurs’ attitude towards external cooperation in innovation projects; Evaluation content: Entrepreneurs’ investment in innovation projects; Evaluation content: Entrepreneurs’ successful cases in promoting innovation projects; Level 1 indicators: Digitalization enhancement capabilities; Level 2 indicators: Product digitalization enhancement capabilities;

[0209] Level 3 indicators: product R&D digital capabilities; evaluation content: digital level of technology R&D system platform; evaluation content: digital level of product design and development tools;

[0210] Level 3 indicators: Digital level of core products; Evaluation content: Core products rely on digitalization to achieve high-function and high-quality levels; Evaluation content: Core products rely on digitalization to achieve automation and intelligence levels; Level 2 indicators: Production digitalization capabilities;

[0211] Level 3 indicators: Digital level of production equipment; Evaluation content: Automation level of production line equipment; Evaluation content: Whether key production equipment uses CNC machinery; Evaluation content: Whether key production stations use robotic equipment;

[0212] Level 3 indicators: digital level of production process; evaluation content: digital level of processing and production; evaluation content: digital level of inspection and testing; evaluation content: digital level of safety monitoring;

[0213] Level 3 indicators: digital level of production management; evaluation content: digital level of upstream supply chain system; evaluation content: digital level of warehousing and logistics system; evaluation content: digital level of distribution service management; Level 2 indicators: digital marketing capabilities;

[0214] Level 3 indicators: Construction of digital marketing platform; Evaluation content: Whether the digital marketing platform is independently constructed and maintained; Evaluation content: The level of cooperation in utilizing external professional digital marketing platforms;

[0215] Level 3 indicators: product digital marketing performance; evaluation content: the scale and growth of digital marketing that has been achieved; evaluation content: digital marketing amount and quantity contribution rate; Level 2 indicators: management digital capabilities;

[0216] Level 3 indicators: Management digital platform construction; Evaluation content: Construction level of conventional enterprise information platform; Evaluation content: Construction level of modern Internet platform; Evaluation content: Construction level of high-end digital enterprise platform;

[0217] Level 3 indicators: management digital application level; evaluation content: management digital application capabilities of platforms at all levels; evaluation content: the effect of platform application on enterprise innovation and development; first-level indicators: external resource integration capabilities; second-level indicators: industrial resource integration capabilities;

[0218] Level 3 indicators: spatial resource integration capability; evaluation content: land resource demand and solution capability; electric and thermal resource demand and solution capability; water resource demand and solution capability; whether the enterprise produces pollutants and harmful substances; whether the products produced by the enterprise are green and environmentally friendly products;

[0219] Level 3 indicators: Ability to integrate scientific and technological innovation resources; Evaluation content: Ability to integrate space resources; Ability to integrate scientific research institutions; Long-term cooperation platform for external scientific research institutions; Scientific and technological research and development cooperation projects of external scientific research institutions; Exchange and learning activities of external scientific research institutions; Ability to attract scientific and technological talents; Whether external high-end talents are needed; Talent attraction policies; Whether to recruit high-end talents from outside; Whether to absorb professional skills talents; Whether to cooperate with external think tanks; Ability to introduce scientific and technological achievements; Level of purchasing and introducing scientific and technological achievements; Level of cooperative investment in external scientific and technological achievements;

[0220] Level 3 indicators: government resource integration capability; evaluation content: spatial resource integration capability; government resource integration capability; correlation between science and technology innovation projects and policies; level of policy support for science and technology innovation projects; project resource integration capability; degree of special fund support for projects; level of support for enterprise science and technology innovation project applications and government-related special funds; whether the project requires government services;

[0221] Level 3 indicators: service resource integration capability; evaluation content: space resource integration capability; professional agency cooperation capability; whether external professional service agencies are needed; level of cooperation with external professional service agencies; level of participation in scientific and technological innovation activities; key focus of external professional scientific and technological innovation activities; first-level indicators: enterprise dual-carbon management and implementation capabilities; second-level indicators: industrial resource integration capability;

[0222] Level 3 indicators: dual-carbon environmental system management and control; evaluation content: spatial resource integration capabilities; establishment of dual-carbon environmental systems within the enterprise; establishment of environmental management organizations and plans to reduce carbon emissions; formulation of relevant goals and systems, and implementation of energy-saving and emission reduction measures; establishment of a "carbon peak and carbon neutrality" environmental risk identification mechanism; establishment of "dual-carbon" management emergency prevention measures; external "dual-carbon" environmental system response of the enterprise; response to government or industry emission reduction targets; effective disclosure of greenhouse gas emission data in response to "dual-carbon" policies; green transformation and development opportunities;

[0223] Level 3 indicators: resource consumption; evaluation content: spatial resource integration capability; water resources; water resource consumption intensity; materials; material use management; energy; energy use management; energy acquisition methods; employee energy-saving awareness; energy-saving behavior habits; energy-saving achievement contribution;

[0224] Level 3 indicators: pollution prevention and control; evaluation content: spatial resource integration capability; wastewater management and discharge; enterprise wastewater management and discharge system; enterprise wastewater management implementation; enterprise wastewater discharge compliance; enterprise overall wastewater discharge volume; enterprise wastewater pollutant discharge volume; enterprise wastewater pollutant discharge concentration; waste gas management and discharge; enterprise waste gas emission management system; waste gas management implementation; waste gas emission compliance; overall waste gas discharge volume; main waste gas pollutant discharge volume; waste gas pollutant discharge concentration;

[0225] Level 3 indicators: climate change; evaluation content: spatial resource integration capabilities; carbon emission reduction measures; carbon footprint certification of major products; conducting carbon emission control of the industrial chain / value chain; conducting carbon inventory of major products; formulating carbon reduction targets and implementation plans in the R&D or product production process; carbon peak; safeguard measures; discussing the effectiveness of the implementation path; carbon neutrality; safeguard measures; external resource coordination for corporate carbon neutrality; Level 1 indicators: new quality productivity development capabilities; Level 2 indicators: industrial resource integration capabilities;

[0226] Level 3 indicators: R&D investment ratio of enterprises; Evaluation contents: Space resource integration capability; R&D expenditure ratio of total revenue; R&D expenditure ratio of total cost;

[0227] Level 3 indicators: degree of digital technology application; evaluation content: spatial resource integration capability; digital equipment ownership rate; digital equipment utilization rate; business process digitalization degree; employee digital skills level;

[0228] Level 3 indicators: equipment intelligence level; evaluation content: space resource integration capability; automation level; intelligence level; system integration capability;

[0229] Level 3 indicators: product R&D production efficiency; evaluation content: space resource integration capability; R&D output quantity; R&D cycle; product stability;

[0230] Level 3 indicators: innovation resource allocation capability; evaluation content: spatial resource integration capability; R&D funding intensity; number and quality of R&D personnel; efficiency of innovation achievement transformation; innovation environment and culture index;

[0231] Level 3 indicators: revolutionary breakthrough in product technology; evaluation content: space resource integration capability; degree of technological innovation; product performance improvement; market influence; sustainable development.

[0232] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for diagnosing the technological quality and evaluating the innovation capability of an enterprise, characterized in that: include: Acquire enterprise reported data based on the synchronous application of mini-programs, apps and web pages, and acquire enterprise data based on the enterprise reported data and enterprise public information; Construct an evaluation index system based on the enterprise's technological quality and innovation capabilities; Evaluate the enterprise data based on the evaluation index system to obtain the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation capabilities, the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator, and the comprehensive impact score of the high and low sub-items in the actual scores of key indicators; Obtain the comprehensive evaluation index of the enterprise's technology quality and innovation capability based on the actual total score of the comprehensive evaluation of the enterprise's technology quality and innovation capability, the comprehensive impact score of the high and low sub-items in the actual scores of each third-level indicator, and the comprehensive impact score of the high and low sub-items in the actual scores of key indicators; Building a long short-term memory network model based on the evaluation index system, and training the long short-term memory network model through historical data sets to obtain a capability evaluation model; Inputting the enterprise data into the capability evaluation model to obtain a capability evaluation result; Based on the comprehensive evaluation index of the enterprise's technological quality and innovation capability and the capability evaluation results, the enterprise's technological quality and innovation capability are graded to obtain an evaluation result.

2. The method according to claim 1, characterized in that The evaluation index system includes primary index, secondary index and tertiary index; The first-level indicators include core technology research and development capabilities, scientific and technological achievement transformation capabilities, target market competitiveness, business system support capabilities, digital enhancement capabilities, external resource integration capabilities, enterprise dual-carbon management and implementation capabilities, and new quality productivity development capabilities; The secondary indicators include but are not limited to technology R&D planning capabilities, R&D organizational management capabilities, enterprise dual carbon management system, resource consumption, pollution prevention and control, and climate change; The third-level indicators include but are not limited to R&D planning and design level, R&D organization construction level, R&D team talent allocation, and carbon peak and carbon neutrality.

3. The method according to claim 1, characterized in that The calculation expression for the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation ability is: Among them, P k The actual total score of the comprehensive evaluation of the enterprise's technological quality and innovation capabilities; N k is the number of third-level indicators under the corresponding capability indicator; G ki is the normalized score of the ith third-level indicator under the corresponding capability indicator, Q ki is the weight of the i-th third-level indicator under the corresponding capability indicator.

4. The method according to claim 1, characterized in that: The calculation expression of the comprehensive impact score of the high and low sub-items in the actual scores of the three-level indicators is: S = s1x1 - s2x2; Among them, S is the impact score of high and low scores in the actual score of the three-level indicator; s1 is the impact coefficient of the high score item; x1 is the number of indicators with actual scores above 80% of the full score of the indicator; s2 is the impact coefficient of the low score item; x2 is the number of indicators with actual scores below 50% of the full score of the indicator.

5. The method according to claim 1, characterized in that The calculation expression of the comprehensive impact score of the high and low sub-items of the actual score of the key indicator is: K = k1y1-k2y2; Among them, K is the impact score of high and low scores in the actual scores of key indicators in the three-level indicators; k1 is the impact coefficient of high score items of key indicators; y1 is the number of key indicators with actual scores above 80% of the full score of the indicator; k2 is the impact coefficient of low score items; y2 is the number of key indicators with actual scores below 50% of the full score of the indicator.

6. The method according to claim 1, characterized in that The calculation expression of the comprehensive evaluation index is: Z = P + S + K; Among them, Z is the comprehensive evaluation index of the enterprise's scientific and technological quality and innovation capability; P is the actual total score of the comprehensive evaluation of the enterprise's scientific and technological quality and innovation capability; S is the comprehensive impact score of the high and low sub-items in the actual scores of each three-level indicator; K is the comprehensive impact score of the high and low sub-items in the actual scores of the key indicators.

7. The method according to claim 1, characterized in that The expression of the long short-term memory network model is: in, is the output vector of the forward LSTM hidden layer at time t, (t=1, 2, ..., N), which is the input vector x at the current time t and the forward LSTM output vector at the previous moment jointly determined; in, is the output vector of the reverse LSTM hidden layer at time t, (t=1, 2, ..., N), which is the input vector x at the current time t and the reverse LSTM output vector of the previous moment jointly determined; h t is the output of the BiLSTM model, ω t is the weight matrix of the forward LSTM output; v t is the weight matrix of the reverse LSTM output; b t is the bias of the weight matrix.

8. The method according to claim 1, characterized in that: Also includes: The evaluation results are manually judged based on the enterprise needs, and the evaluation results are adjusted based on the judgment results to obtain the final evaluation results.

9. A platform for enterprise technology quality diagnosis and innovation capability evaluation method according to any one of claims 1 to 8, characterized in that: include: The data collection module is used to collect multi-dimensional data on enterprise foundation, operation, scientific research, talents, and knowledge achievements through data crawler technology; Data storage module, used to establish a data storage system using the cloud platform; Data processing module, used to clean, integrate and analyze data based on artificial intelligence and big data technologies; The indicator diagnosis and evaluation module is used to build an interactive platform to fill in enterprise information and indicator options, automatically classify the industry and analyze the industry status based on the reported information, identify the enterprise development stage and technological innovation conditions based on the industry status, trigger the pre-loaded diagnosis and evaluation model, start the evaluation indicator system, assign indicator weights based on the actual situation of the industry or enterprise or introduce expert setting methods, automatically perform diagnosis and evaluation scoring in the background, and generate diagnosis and evaluation indexes and grading results; The data analysis module is used to process the diagnostic evaluation index and grading results through data analysis algorithms, generate a digital portrait of the company's scientific and technological innovation, and display analysis results and evaluation reports.

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