20 results about "Technical innovation" patented technology

The invention discloses an industrial innovation question and answer method and system fusing a knowledge graph and a large model, relates to the field of natural language processing in artificial intelligence, and solves the problems that existing industrial innovation data is dispersed, so that the utilization rate is low, and accurate decisions cannot be made due to single dependence on a large model lacking knowledge in related fields. According to the method, industrial innovation data combining patent information, academic literature and policy systems and an innovation field knowledge graph are collected, the preprocessed industrial innovation data are converted into a question and answer data set in a question and answer pair format, a sub-graph extraction model is constructed, and a large model is enhanced by utilizing the knowledge graph; and industrial trend analysis and industrial report generation are realized. According to the method, industrial innovation data are efficiently integrated and utilized, the accuracy of functions of the large model for innovation technology insight, industrial trend analysis, industrial report generation and the like is improved, and industrial technology innovation is more accurately assisted.

The invention discloses a multi-dimensional technical achievement evaluation method and system, and the method comprises the following steps: extracting a technical keyword of a technical scheme, obtaining a related technical scheme, evaluating a technical innovation value, a technical width value, a technical independence value and a technical science and technology value of the technical scheme through a related technical file, and obtaining a scientific value grade; acquiring a market demand value, a marketization capability value and a market value grade according to the similar technical scheme; evaluating a cost feasible value, a technical benefit value and an economic value grade according to a difference value between the technical scheme and the similar technical scheme; extracting a first inventor and an invention unit of the technical scheme, and obtaining an authoritative value grade of the technical scheme; determining a weight by using an analytic hierarchy process and an entropy weight method and obtaining a technical scheme grade; the evaluation comprehensiveness is guaranteed through multi-aspect evaluation, the evaluation result is more accurate and effective, the weights are obtained through the analytic hierarchy process and the entropy weight method, the subjectivity of manually setting the weights is reduced, and the accuracy and comprehensiveness of weight distribution are guaranteed.

The invention belongs to the technical field of urban planning and construction, and particularly relates to an urban circle city development and scientific and technological innovation coordination coupling level evaluation method based on multi-source data. The method mainly comprises an evaluation index system construction step, a data acquisition and preprocessing step, a comprehensive score determination step, a system coupling coordination degree calculation step and a system coupling interaction relation evaluation step. Aiming at the problem that the existing urban circle development evaluation neglects the coupling effect of scientific and technological innovation and urban development, the method comprises the following steps of: constructing an urban development and scientific and technological innovation evaluation index system, collecting multi-source data such as land utilization data and statistical yearbook data and preprocessing; and evaluating the relative development degree in the city and the development difference degree between the cities by using an entropy method and a coupling coordination degree model. The method breaks through the limitation of traditional single-dimension and single-tool evaluation, can effectively reveal the interaction rule of an urban circle'city-department and creative 'composite system, and provides a practical basis for urban circle innovation resource allocation and urban development planning.

The invention provides a scientific and technological attack effectiveness evaluation method and device based on a large language model, and is suitable for multi-dimensional comprehensive evaluation of scientific research projects under the background of a novel power system. The method comprises the following steps: firstly, constructing an evaluation index system covering dimensions such as technical innovation, technical feasibility, economic benefit and environmental influence, and collecting expert text evaluation of each project under each index; text semantic features are extracted through a BERT model, sentiment analysis is carried out in combination with a large language model, satisfaction scores are quantified, and an evaluation decision matrix is constructed; and calculating the index weight by using a CRITIC method, and finally carrying out comprehensive scoring and sorting on the projects in combination with a grey relational degree-ideal point method. According to the scheme, the problems that a traditional expert scoring method is high in subjectivity and low in information utilization rate are effectively solved, the objectivity, accuracy and scientificity of an evaluation result are improved, and intelligent and data-driven decision support is provided for scientific research project management and resource allocation.

The invention discloses a method for improving depreciation rate and reducing production cost, which is characterized in that a depreciation theory system is reconstructed through technical innovation: the depreciation age limit of equipment is shortened from traditional 30 years to 12 years (two overhaul cycles), the annual average maintenance cost can be reduced by 9.5%, the depreciation cost is improved by 5%, and the net reduction amplitude of the sum of the two costs is equivalent to 4.5% of the original value of the equipment. The key premise is as follows: 'the depreciation age limit and the updating period of the equipment are updated synchronously as much as possible '-if an enterprise implements the suggestion and does not carry out secondary overhaul, new equipment can be purchased from the saved overhaul cost and depreciation fund, and fixed asset appreciation can be realized without newly increasing investment. The specific operation is as follows: after the depreciation is finished, the equipment is continuously used when the second overhaul is not performed, and the depreciation is not performed; immediate updating (no forced updating mechanism, which is related to specific conditions in China) is needed when overhaul is needed. The author emphasizes that if the synchronization update is not implemented, only the improvement of the depreciation rate focuses on the traditional old way (the higher the depreciation rate is, the higher the production cost is).

The invention discloses a multi-technology fusion prediction method based on hypergraph modeling, and relates to the technical field of computers. According to the method, hyperedge weights are corrected by introducing a probability-based zero model so as to eliminate deviations caused by patent number differences among different technical fields, and then a multi-technology fusion mode with statistical significance is identified. Further converting a multi-technology fusion prediction problem into a hyperedge prediction problem in a hypergraph, calculating an average similarity among technologies in a technology combination by adopting a random walk algorithm with restart, and establishing a mapping relation between a feature and a hyperedge formation probability through a logistic regression model by taking the average similarity as the feature; therefore, prediction of the technology fusion probability is realized. According to the method, the fusion trend of three or more technical fields can be effectively identified and predicted, the method is more suitable for the analysis requirement of current multi-technology cross-field cross fusion, and data support and decision basis are provided for technical innovation layout and industrial policy planning.

The invention discloses a credential and credential technology assessment method and system, and relates to the technical field of credential and credential assessment. Comprising the following steps: performing innovation information input in a network form and a paper questionnaire form; the input information is transmitted to the user opinion classification storage unit through the user opinion collection unit, the user opinion classification storage unit comprises a first storage layer and a second storage layer, and the first storage layer and the second storage layer store innovation information passing through and not passing through the classification table respectively. According to the invention, a set of complete large-scale all-around technical innovation management system is established, innovation information is collected in various modes, innovation information which cannot be realized is filtered out, weights of corresponding innovation information are respectively set, the weights and scores of the innovation information by corresponding experts are combined, the number of the innovation information is updated in real time, and the innovation information is updated in real time. The evaluation accuracy of the innovation information is improved, and the advantages and disadvantages of the innovation information are determined according to the score.

The invention relates to the technical field of artificial intelligence application technologies, in particular to an enterprise department and wound management platform based on artificial intelligence. Comprising the steps of collection and standardization processing of multi-source heterogeneous medical and creative data, construction of an enterprise medical and creative knowledge graph, deep matching analysis of market demands and technical capabilities, identification of technical innovation opportunity points, automatic generation of a structured innovation scheme, and dynamic configuration and execution binding of resources. Through multiple artificial intelligence methods of named entity recognition, graph embedding, multi-hop graph reasoning, deep semantic coding, large language model generation, multi-target genetic optimization and the like, full-process automatic closed-loop management from technical data integration, innovative recognition, scheme formulation to resource scheduling is realized. According to the invention, the organization ability of enterprise technical knowledge, the identification accuracy of innovation opportunities, the generation efficiency of innovation schemes and the execution transparency of resource configuration can be effectively improved, and the enterprise is promoted to realize efficient and intelligent department and wound management.

The invention relates to the technical field of scientific and technological achievement layout and cultivation methods, in particular to a novel scientific and technological achievement layout and cultivation method and system for a power system. Constructing a multi-party industry collaborative development mechanism according to classification and grading research of scientific research achievements; designing an external output path of a cultivation strategy and a cultivation system according to an industrial collaborative development mechanism; and constructing an output quality evaluation system according to the scientific achievements of the power system. By optimizing a scientific and technological achievement transformation mechanism, the barrier of innovative development of enterprises is broken through. Through collaborative research on industry-university-research, various forms of industrial technology innovation methodologies are constructed, and transfer and transformation of scientific and technological achievements are promoted. An evaluation system and model of the achievement output quality are established, the evaluation cost is reduced, and smooth conversion of scientific and technological achievements is facilitated. And the research on the result output path can promote the continuous output of high-quality results, so that the innovation ability and the competitiveness at home and abroad of a company are improved.

The invention provides a crowd funding platform system and method fusing patent barriers and entity verification, and solves the problems of innovation and inferior and trust deficiency of an existing platform. The core innovation is as follows: (1) a patent admission mechanism: only allowing valid patent holders to initiate crowd funding, and monitoring patent validity through manual and automatic means; (2) entity double-track verification: performing entity type forced prototype warehousing comparison, performing software type DEMO interactive verification, and completely eradicating virtual innovation; (3) a transaction intention quantification system which converts the patent purchase intention into a visual counter and promotes intellectual property transaction; and (4) an inventor collaboration network: promoting innovation and mutual assistance through a safely isolated draft sharing mechanism. The system is suitable for crowd funding incubation of technical innovation products such as intelligent hardware, intelligent home, intelligent buildings and AI application software, and closed-loop protection from creativity to products is achieved.

The invention relates to the technical field of information technology management, in particular to an achievement transformation evaluation method and system based on big data, and the method comprises the steps: building a multi-field data sample library, evaluating the value of intellectual property, and evaluating the innovation degree of scientific and technological achievements. The evaluation system comprises a big data acquisition module, a database module, a data entry module, a feature vector module and a feedback module, and can be used for matching the achievement conversion information of multiple fields and fields, evaluating the automatic intellectual property, evaluating the technological innovation degree of scientific and technological achievements, and improving the evaluation efficiency. Therefore, the potential risk, market value, feasibility and innovation degree of scientific and technological achievement transformation are assessed, assessment of scientific and technological achievement transformation has multi-aspect index consideration, the accuracy of scientific and technological achievement transformation assessment is improved, a feasibility assessment report is automatically made through the system, and the workload of workers can be reduced.

The invention discloses an AI tide play interaction system and interaction method based on a binary soul architecture, and belongs to the field of artificial intelligence, emotion calculation, interactive entertainment equipment and tide play design. According to the invention, a new generation of tidal play intelligent agent with both philosophy depth and technical innovation is constructed; the multi-emotion requirements of accompanying, pouring, growing and healing of the user are met; an AI personality interaction ecology which takes women as core audiences, is prioritized in privacy security and can grow continuously is constructed; and a complete'soul memory technology chain 'from roles to tree holes, from interaction to memory and from complaint to backtracking is established.

The application discloses a kind of based on technical innovation knowledge situation super-network research and development partner recommendation method, including obtaining technical innovation project data;Technological innovation knowledge situation model is built, and technical innovation knowledge situation dimension is determined;Based on technical innovation knowledge situation dimension, extract multidimensional knowledge situation information from technical innovation project data;Based on multidimensional knowledge situation information, technological innovation knowledge situation super-network model is built, and node feature and super-edge feature are determined;According to node feature and super-edge feature, improved super-network bayesian inference method is used to generate research and development partner recommendation result.The application can effectively improve the utilization efficiency of knowledge, and effectively mine the deep relationship between knowledge situations in super-network, thereby significantly improve the recommendation accuracy and recommendation efficiency of research and development partner recommendation.

To provide a further suitable artificial intelligence response output technology, and to contribute to "9 Industry, Innovation and Infrastructure" and "11 Sustainable Cities and Communities" of the Sustainable Development Goals (SDGs).SOLUTION: A response output system includes: an input unit to which a question sentence is input by a user; a control unit that generates a response instruction sentence to a large-scale language model based on the question sentence, and acquires a response sentence generated by the large-scale language model in response to the response instruction sentence; and an output unit that produces an output based on the response sentence acquired by the control unit. The control unit performs conversion processing on the question sentence and generates the response instruction sentence on the basis of the question sentence after the conversion processing.SELECTED DRAWING: Figure 8

The invention discloses an innovation path recommendation method based on complex network analysis and scientific and technological innovation force. The method comprises the following steps: acquiring multi-source technical achievement data; performing vectorization processing on text information of the result record, and constructing a technical map based on node vectors and node attributes; community detection and bridge node identification are carried out on the technical atlas to determine potential association relationships among different technical fields; generating a candidate path set containing cross-domain connection based on the community detection result and the bridging node information; scoring and sorting paths in the candidate path set, and comprehensively considering path weights, cross-domain connection degrees and length constraints; and screening out an optimal innovation path in the sorting result and outputting a recommendation result. The method can effectively reveal the potential relation between the technical fields, assists in discovering high-value innovation paths, provides decision support for scientific research planning and technical innovation, and solves the problems that in the prior art, the innovation path mining efficiency is low, and cross-field correlation is difficult to quantify.

The invention relates to the technical field of innovation chain and industry chain fusion, and discloses an innovation chain and industry chain fusion method based on a knowledge graph. According to the method, entities and relationships thereof in an innovation chain and an industry chain are collected, a graph neural network model is used for constructing a knowledge graph, and the entities and the relationships are subjected to embedded representation. Then, connecting points between the two are recognized, connection is represented in a graph structure, and the knowledge graph is updated; and dynamically adjusting the importance of innovation chain and industry chain information by adopting a fusion model based on an attention mechanism to realize the fusion of the knowledge graph. And finally, on the basis of the fused knowledge graph, upstream and downstream support information of an industry chain is provided for technical innovation, and rapid conversion and industrialization of technical achievements are promoted. In conclusion, the efficiency and accuracy of information processing are effectively improved, the relevance and interactivity between the innovation chain and the industry chain are enhanced, and the method has remarkable effects of promoting deep fusion of the innovation chain and the industry chain and accelerating technical achievement transformation and industry upgrading.

The invention discloses a high-value patent recommendation method for an enterprise technology innovation stage, and solves the technical problems that the dimension of an existing enterprise portrait is relatively single, and the enterprise demand cannot be well described. The method comprises the steps of analyzing enterprise technology innovation stage demands; and depicting the enterprise demand through the enterprise portrait. The method comprises the following steps: firstly, determining enterprise portrait dimensions, acquiring data and preprocessing the data; secondly, modeling by using a BERTopic topic, and intelligently outputting a portrait label and a topic cluster by an AI (Artificial Intelligence); retrieving to-be-recommended patents of colleges and scientific research institutions according to the labels, and calculating patent value degrees; and finally, calculating the cosine similarity between the patent to be recommended and the theme cluster according to themes, and recommending the patent by using a top-n principle in combination with the similarity and the value degree. According to the method, the requirements of enterprises in different innovation stages are accurately analyzed, so that university and scientific research institute patents are recommended to the enterprises in a personalized manner, and the patent conversion rate and the enterprise technical level can be improved.

To back up information important for a person and place the information in a state reproducible in any time, thereby preparing for future technical innovation or public opinion and providing a reassurance material for people.SOLUTION: A system comprises: means for gathering information from the character, memories, voice, moving images, text sentences, conversations and the like of a person and allowing AI to learn the information to store it as personality data; and means for backing up the data into a reproducible state.SELECTED DRAWING: Figure 1

The application provides a major engineering technical innovation collaborative simulation method based on multi-agent modeling, and is characterized by comprising the following steps: S1. collaborative data acquisition and agent characteristic modeling; S2. construction of a multi-agent collaborative matching relationship; S3. construction of an agent behavior rule library; S4. construction and simulation configuration of a collaborative scenario; S5. innovation collaborative simulation implementation; and S6. innovation performance calculation, which provides a basis for evaluating the pros and cons of a scheme. The method provided by the application can completely simulate the dynamic evolution process of multi-agent technical innovation collaboration in a major engineering, and can truly reflect the influence of agent interaction, knowledge flow and collaborative structure change on innovation performance; through scenario simulation, the rapid testing of innovation strategies, resource allocation modes and collaborative modes can be realized, and the scientificity, transparency and reliability of a major engineering innovation management scheme can be improved.

To provide more suitable artificial intelligence response output technology, wherein the present invention contributes to Sustainable Development Goal 9 (Industry, Innovation and Infrastructure) and Sustainable Development Goal 11 (Sustainable Cities and Communities).SOLUTION: A response output system comprises: an input unit into which a question sentence is input by a user; a control unit that generates a response instruction sentence for a large language model based on the question sentence and acquires a response sentence generated by the large language model in response to the response instruction sentence; and an output unit that performs output based on the response sentence acquired by the control unit, wherein the control unit executes clarification processing of the question sentence and generates the response instruction sentence based on the question sentence after the clarification processing.SELECTED DRAWING: Figure 8A