34 results about "Technology management" patented technology

The invention provides a semantic understanding method based on natural language processing and a science and technology operation platform system.The method comprises the steps that firstly, a target interaction data set containing a text instruction sequence, collaboration document content and resource scheduling request records in a science and technology management scene is obtained, and then cross-modal semantic alignment processing is conducted on the target interaction data set; and generating a structured semantic analysis result containing an intention decision tree and the like. Then, based on a dynamic process arrangement rule, the result is mapped to a predefined process node topological space, an initial process execution path set containing a node execution sequence chain and the like is obtained, conflict resolution is conducted on the set according to real-time system resource state data, and an optimized executable process path containing resource allocation priority and the like is generated; and finally, the optimized executable flow path is input into a science and technology management central system, automatic deployment and execution state tracking of a cross-department cooperation flow are realized, and the semantic understanding and flow processing capability of a science and technology management scene is effectively improved.

The invention belongs to the technical field of power resource optimization, and particularly relates to a power supply station service architecture optimization method based on digital power grid construction achievements, which comprises the following steps: investigating power supply station service requirements, constructing a power supply station service architecture, and determining a power supply station application architecture; an intelligent Internet of Things terminal operation system based on an electric power gap base and a platformization solution are introduced into the application architecture, and a platformization and perception fused service operation system is constructed; core technologies such as an AI large model, a high-perception terminal, a security authentication mechanism and a 5G slicing network are introduced into asset management, production management, resource management and technical management, and an integrated service execution system with intelligent perception, efficient cooperation, security, credibility and standardized operation is constructed. According to the invention, the problems of scattered architecture, slow response, weak cooperative capability and the like in a traditional power grid system are solved, and reliable support and a technical path are provided for efficient, safe and intelligent development of a power grid.

The invention discloses an implementation method for constructing a unified user authentication center based on an OIDC framework, and the method comprises the steps: S1, integrating user data sources, and constructing a unified science and technology management user information base; s2, constructing a unified user authentication center of the science and technology management industry; s3, related functions of each business platform system in the science and technology management industry are upgraded, OIDC unified user authentication service docking is completed, and unified identity management is realized; and S4, system interfaces of all service platforms in the science and technology management industry are comprehensively and jointly debugged, and seamless cooperation of all the service platforms in the science and technology management industry and the OIDC unified user authentication center is ensured. The method has the advantages that the problems of informatization cross-system and cross-platform identity management and authority control in the science and technology management industry are solved, efficient and safe user identity management is realized, the system safety is enhanced, the system convenience is improved, the system integration complexity is reduced, and the informatization system management efficiency is improved.

The invention relates to the technical field of science and technology management and information, in particular to a scientific and technological achievement feasibility analysis system which comprises a central processing unit and further comprises a data input module used for inputting data samples of scientific and technological achievements into a sample database; the data analysis module is used for importing the key technical key points in the data sample into a cloud database for analysis; and the feasibility evaluation module is used for carrying out feasibility evaluation on a result obtained after preliminary analysis of the data analysis module. According to the method, the achievement conversion rate can be comprehensively and accurately analyzed and evaluated from technical feasibility, economic feasibility, market feasibility and operation feasibility, the reliability and accuracy of scientific and technological achievement feasibility analysis are improved, the scientific and technological achievement conversion rate and the industry development speed are increased, and the scientific and technological achievement conversion period and the scientific and technological achievement conversion number are stably increased; and the industry is helped to make an accurate emergency strategy.

The application provides a hydraulic and environmental geological information system based on service full life cycle digitization, and the system framework comprises five parts of infrastructure, data center, function hub, application scene and user group, hydraulic and environmental geological services are divided into four fixed basic process units of service deployment, service execution, service inspection, data management and application, a digital closed-loop management based on a PDCA cycle and covering the full life cycle of hydraulic and environmental geological services is constructed; a hydraulic and environmental geological big data center composed of hydraulic and environmental geological discipline knowledge, technical rules, service knowledge, algorithm models and service data is established, intelligent control of hydraulic and environmental geological service processes is realized based on big data technology and artificial intelligence technology; based on software engineering principles, modular design methods, various software design patterns, micro-service architecture and interface technology are adopted, and the system is divided into five function modules of service management, service management, technology management, model management and data management.

The invention provides an enterprise-oriented MCP-combined AI service unified management method and system in the technical field of enterprise information technology management and artificial intelligence application. The method comprises the steps that S1, a server registers all models as AI services in a unified mode; s2, the AI gateway obtains an AI task request sent by an employee terminal to perform identity authentication, and matches authority information; step S3, interacting with the server through the load balancing and security gateway, querying AI services of which authority information can be called, and pushing the AI services to a visual interface of an employee terminal; s4, arranging each AI service by the visual interface based on the triggered drag signal and click signal to generate an AI task, and sending the AI task to a load balancing and security gateway for execution; s5, in the AI task execution process, an abnormal event is captured to give an alarm; and S6, recording an execution log in real time. The method has the advantages that the centralization, the safety and the usability of AI service management are greatly improved.

The invention relates to the field of engineering technology management informatization, in particular to an intelligent cooperation method and device for a bidding task, electronic equipment and a storage medium, and the method comprises the steps: in response to a bidding task request, creating a plurality of subtasks of the bidding task, and determining an execution sequence among the plurality of subtasks; obtaining a plurality of to-be-matched user accounts, determining target user accounts from the user accounts based on a preset matching rule, and determining at least one subtask corresponding to each target user account; according to the sub-tasks, the execution sequence and the target user accounts corresponding to the sub-tasks, creating a task process of the bidding and tendering task; in the task execution process, feedback information of the target user account for the subtasks is received, and the task process is adjusted based on the feedback information to complete the bidding and tendering task. According to the invention, scientific decomposition of bidding and tendering tasks, accurate matching of execution personnel and dynamic adaptive adjustment of project processes can be realized.

The invention provides an enterprise information technology consultation service quality evaluation method, and relates to the technical field of information technology management. According to the method, multi-source evaluation data of each participant is received and processed, an evaluation semantic spectrum is constructed by using a self-weight semantic mapping network, and a cognitive path and a tendency mode of each participant are represented. The method comprises the following steps: extracting a conflict block through a cross-domain conflict identification rule, carrying out mapping normalization by using a voltage-adjustable co-integration factor, generating a multi-party consensus initial layer region, inputting the consensus initial layer region into a multi-mapping-difference embedded model for learning, dynamically adjusting a semantic weight, and outputting an aggregation quality score. And constructing a dynamic correction tensor flow based on the aggregation quality score and actual feedback data, and regularly updating regulation and control parameters of the semantic mapping network and the conflict recognition rule to realize adaptive evolution of the evaluation rule. According to the method, objectivity, accuracy and dynamic adaptability of an evaluation result are effectively improved, and stable, coherent and accurate evaluation support is provided for long-term decision making of an enterprise.

This application provides a semantic understanding method based on natural language processing and a technology operation platform system. First, a target interaction data set including a text instruction sequence, collaborative document content, and resource scheduling request records in the technology management scenario is obtained. Then, cross-modal semantic alignment processing is performed on it to generate a structured semantic parsing result including an intention decision tree, etc. Next, based on dynamic process orchestration rules, this result is mapped to a predefined process node topological space to obtain an initial process execution path set including a node execution order chain, etc. Then, conflict resolution is performed on this set according to the real-time system resource status data to generate an optimized executable process path including resource allocation priorities, etc. Finally, this optimized executable process path is input into the technology management central system to realize the automated deployment and execution status tracking of cross-departmental collaboration processes, effectively improving the semantic understanding and process handling capabilities in the technology management scenario.

The invention discloses an enterprise department and innovation management platform based on artificial intelligence, relates to the technical field of artificial intelligence, and solves the problem that because department and innovation policies are complex and have a cooperative and complex relationship with each other, the enterprise is not easy to operate when facing related department and innovation policies. The real intention of the medical innovation policy cannot be accurately and concisely understood; the enterprise department and wound management platform comprises an enterprise management module, a policy collection module, a matching diagnosis module, a service query module, a department and wound shopping mall module and a data security module. The enterprise information is analyzed in detail through the department and wound inference model, and the department and wound policies are interpreted in detail, so that the department and wound policies corresponding to the enterprise development stages are matched for each enterprise, and a plurality of department and wound projects are recommended and a plurality of department and wound services are provided for each enterprise according to the department and wound policies; the difficulty of manually interpreting the medical creative policies in the prior art is reduced; and the accuracy of manually recommending the department and creative policies for the enterprise is improved.

The invention relates to the technical field of information storage equipment, and discloses storage equipment for information technology management and a using method thereof.The storage equipment comprises a main body, three drawer grooves are formed in the front face of the main body, two long grooves are formed in the inner walls of the front face and the back face of each drawer groove, and four limiting plates are fixedly connected to the inner wall of the bottom of each drawer groove; the four limiting plates are symmetrically arranged in pairs, the two sets of limiting plates are symmetrically distributed with the middle of the drawer groove as the center, and two vertical plates are fixedly connected to the inner wall of the bottom of the drawer groove. When the two movable plates and the second connecting lugs push the L-shaped plates with the servers to rotate upwards, the two rotating L-shaped plates can drive the servers to be in an inclined state, and then the sliding tendency of the stored servers in the horizontal direction can be reduced; therefore, the risk that the server slips during storage due to vibration force generated when the server works or is subjected to external force is reduced, and the stability of the server during storage can be improved.

The invention relates to the field of engineering technology management informatization, in particular to a method and device for checking compliance of an engineering document, electronic equipment and a storage medium, and the method comprises the steps: determining a to-be-checked engineering document; in response to an inspection instruction of a user, determining at least two inspection rules and an execution sequence between the at least two inspection rules from a preset rule base; on the basis of the execution sequence, according to at least two inspection rules, the engineering documents are inspected in sequence, and a preliminary inspection result is generated; and verifying the preliminary inspection result, and outputting a compliance judgment result of the engineering document. According to the invention, the compliance review process of the project document can be optimized and the review accuracy can be improved.

The invention discloses an EPC full-process technology management method, and the method comprises the following steps: S1, taking a BIM model as a core, integrating geometric data, cost data, progress data and operation and maintenance data, and forming a digital twinborn model; s2, structuring the national standard, the industrial standard and the enterprise construction method into executable rules, and embedding the executable rules into the digital twin model to form a construction specification knowledge graph; s3, collecting construction site data in real time through an IoT sensor network, fusing the construction site data into the digital twinborn model, and driving the digital twinborn model to dynamically update; s4, performing progress prediction, resource optimization and risk early warning through an artificial intelligence AI algorithm based on the dynamically updated digital twinborn model, and outputting a decision instruction; and S5, the acceptance records and quality data of the key processes are stored based on the block chain technology, so that whole-process quality tracing and closed-loop management are realized, and the problems of information isolated island, progress lag, cost increase, quality tracing difficulty and the like in a traditional EPC project are effectively solved.

The method for realizing the air separation equipment production technology intelligent question-answering machine driven by the air separation field knowledge graph mainly includes three stages. Firstly, the HanLP-kf language processing package and the Neo4j database are used to realize the standardized representation and storage of the air separation equipment production technology field knowledge. Secondly, the production technology field knowledge graph is constructed by taking the production technology field literature as the data source. Thirdly, the Multi-Raspberry Pi network acquisition system is used to acquire real-time production data in the distributed air separation equipment production field, so as to construct the dynamic real-time knowledge graph of the air separation production technology field. Finally, the Naive Bayes classification method is used to enable the air separation equipment production technology intelligent question-answering machine to analyze and feed back various professional problems input by the user interface. The method can effectively overcome the shortcomings of the traditional knowledge base and expert system in knowledge updating and iteration, and through the self-learning ability of the question-answering machine, the knowledge graph is managed and more complex and dynamically updated knowledge is applied, so as to provide the technical management personnel participating in the air separation equipment production with the field knowledge advancing with the times.

This invention discloses a vehicle exhaust system technical management system and method. The system adopts a web-based architecture, including a user interface layer, a business logic layer, and a data access layer. The business logic layer integrates three main modules: pre-design research, development phase assurance, and after-sales maintenance. Each module is further subdivided into sub-modules for managing knowledge in specific domains. Through this unified platform, centralized storage, classified management, and related sharing of technical knowledge throughout the entire lifecycle of the exhaust system are achieved. This allows for the systematic accumulation and continuation of technical knowledge, effectively solving the problems of knowledge dispersion, easy loss, and difficulty in sharing and analysis in traditional management, and improving the systematic nature and collaborative efficiency of technical management.

The application relates to the technical field of integrated management, and discloses a molten aluminum processing technology integrated management system and method. The system comprises an encoding module, a configuration module, a quality inspection module, an embedding module, a decoupling module and a regulation and control module, the modules are connected in series to form a data processing chain, the encoding module is further connected with the quality inspection module to provide deep identification information, and the regulation and control module is connected with the encoding module to provide feature chain data. The system realizes the whole-process management of molten aluminum processing through multi-level encoding, dynamic configuration, cross quality inspection, information embedding, parameter decoupling and linkage regulation and control. The application overcomes the problems of data fragmentation and poor information intercommunication in the existing molten aluminum processing technology management, and realizes the whole-process data integrated management from raw materials to finished products.

The invention relates to the technical field of enterprise technology management, and discloses an enterprise technology conversion path determination method and system based on multi-chain collaboration. Through multi-chain data fusion and collaborative analysis, fusion among technology, industry, innovation and capital data is realized, and the defects that the traditional decision dimension is single and depends on static analysis are overcome; based on dynamic simulation and Monte Carlo simulation of an intelligent agent, quantitative evaluation of long-term benefits and risks of various potential conversion paths in a complex and changeable environment is realized, and the perspectiveness and scientificity of decision making are improved; and finally, a Pareto optimal path is accurately screened out by using a multi-objective optimization algorithm, a personalized technology conversion scheme with high benefit and low risk is provided for enterprises, and the problems of dependence on subjective experience, insufficient path generation capability and the like are fundamentally solved.

The invention relates to the field of engineering technology management informatization, in particular to a power grid project cost deviation analysis method and related equipment, and the method comprises the steps: obtaining the project information of a to-be-constructed power grid project, inputting the project information into a preset cost decomposition model, and obtaining a plurality of cost units; based on a pre-configured robot process automation (RPA) robot, obtaining cost data associated with the cost unit by simulating a user to log in at least one source application system; determining a plurality of cost attributes corresponding to each cost unit according to the cost data; comparing the plurality of cost attributes of the same cost unit according to a preset comparison rule, and when a difference value between any two cost attributes in the plurality of cost attributes exceeds a preset deviation threshold value, generating a cost deviation record of the cost unit; summarizing the cost deviation records, and generating a cost deviation analysis report of the to-be-analyzed power grid project. According to the invention, comprehensive cost deviation analysis can be automatically carried out on the power grid project through cross-system data.

The invention discloses a blockchain platform transaction risk assessment system based on an unascertained theory, which relates to the technical field of risk assessment and comprises an objective weight analysis unit, a comprehensive weight output unit, a membership calculation unit, a measure matrix construction unit and a risk level judgment unit. According to the method, through a mode of combining subjective and objective weights of indexes, the advantages of the analytic hierarchy process in comprehensive consideration of expert experience and knowledge can be fully played, and the defects of a single method in a weight determination process can be effectively made up by means of the characteristics of the entropy weight method based on data objective analysis; according to the invention, the method achieves the more scientific, reasonable and comprehensive weight result, and builds a'technology-management-behavior 'three-dimensional collaborative dynamic coupling model through the unascertained measurement, thereby quantifying the transaction risk, generating a more accurate and comprehensive risk assessment system, improving the overall stability of the system, and achieving the more scientific and effective evaluation and supervision of all platforms.

The utility model relates to an intelligent sign-in device for science and technology management, which comprises a mounting box and sign-in machines, two symmetrical mounting plates are fixedly mounted on both sides of the mounting box, and fixing components for conveniently mounting and fixing the sign-in machines with different sizes are mounted on both sides inside the mounting box. The fixing assembly comprises two symmetrical mounting frames in the mounting box and fixing plates arranged on the upper side and the lower side of the mounting frames, and a dustproof assembly facilitating dust prevention of the sign-in machine is mounted on the front face of the mounting box. According to the sign-in device, through the arrangement of the fixing assembly, the problem that sign-in machines with different sizes are inconvenient to install in an existing sign-in device is solved, through the arrangement of the dustproof assembly, the sign-in machines can be effectively prevented from dust, and the problem that the existing sign-in device is lack of effective dustproof measures and is not convenient to install is solved. And dust is easy to accumulate in the long-term use process of the sign-in machine, so that the normal operation and the service life of the equipment are influenced.

The invention belongs to the field of aircraft research and development process construction technology management, and particularly relates to a module-based aircraft single-sortie data management method. The method comprises the steps that a plurality of parts of an airplane are combined to form a module which serves as a module layer of an airplane product layer, and sortie effectiveness labels are added to all the modules in the module layer and serve as sortie effectiveness of the parts; when the basic characteristics of the part are changed, the number of the part is respecified, a new module is obtained through fission on the basis of an original module to which the part belongs, and the new module and the original module are complementary in sortie effectiveness; otherwise, modifying the version of the part, and modifying the version of the original module to which the part belongs; forming a configuration scheme layer on the upper level of the module layer, wherein each configuration scheme in the configuration scheme layer increases the specification effectiveness; and filtering and extracting a single-sortie product structure tree according to sortie effectiveness. According to the invention, single-sortie management of product data is realized, and the efficiency and quality of aircraft development work are effectively improved.

1. Name of the product in this design: Intelligent Item Cabinet (Science and Technology Management Generation 1). 2. Purpose of this design: This design is used for intelligent storage of items. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to the technical field of enterprise informatization management, in particular to a construction industry science and technology management project management system based on business and financial integration. The system comprises a data management module, a business data acquisition module, a business and financial fusion module, a risk control module and a decision analysis module. According to the invention, a multi-dimensional data mapping model of work decomposition structure-cost decomposition structure-accounting subject is constructed, so that fusion of business data and financial data is realized; moreover, business data are acquired in real time by using a mobile terminal and an OCR technology, and a compliant accounting document is automatically generated through an event-driven business and financial fusion engine, so that automatic penetration from business actions to financial accounts is realized; in addition, the system can automatically identify and intercept abnormity in a fund payment link through three-order matching and payment red line control. According to the scheme, the operation efficiency and the risk management and control capability of a building construction enterprise are remarkably improved.

The application discloses a kind of field-oriented scientific and technological project duplication checking method and system, the method includes: respectively constructing project duplication checking contrast library, field dictionary and field stop word library;At least according to field dictionary and field stop word library, the inverse document frequency of each word in corpus is calculated;According to the inverse document frequency of each word in corpus, the keywords of materials in project duplication checking contrast library and declaration library are extracted;The repetition rate of the project to be checked and the project in duplication checking contrast library is calculated based on the extracted keywords, and the project with high similarity is determined according to the repetition rate.The field-oriented scientific and technological project duplication checking method and system of the application can help enterprise technology management personnel to compare the file to be checked with a large number of historical project information, find out the project with highly similar research content, can avoid the waste of enterprise technology resources caused by repeated project establishment, and ensure the fairness of project establishment.

This invention relates to the field of scientific and technological achievement valuation and intelligent calculation technology, specifically to a multi-factor dynamic correction method for scientific and technological achievement valuation. This method includes multi-source valuation data collection and standardization, construction of a multi-dimensional valuation element system, design of a multi-module value calculation model, dynamic correction and iterative optimization, and valuation result analysis and report generation. This invention is applied to the valuation of various scientific and technological achievements, such as patented technologies, technical solutions, R&D results, and industrialization technologies. It is suitable for science and technology management departments to monitor the value of achievement transformation, achievement evaluation institutions to conduct professional valuations, universities and research institutes to conduct achievement transaction pricing, and financial institutions to conduct scientific and technological achievement pledge valuations. It is particularly suitable for different technical fields such as electronic information, equipment manufacturing, biomedicine, and new materials, as well as for differentiated valuation scenarios for scientific and technological achievements at different stages, such as the R&D phase, pilot production phase, and maturity phase.

The invention relates to a method for scientific and technological innovation element data matching, which comprises the following steps: (1) data collection: collecting original data through an enterprise filling form, a sensor node unit filling form, an enterprise technical requirement document, a scientific and technological management department data document and an enterprise project road presentation record; (2) data arrangement: performing screening, verification, standardized cleaning and structured storage on the original data to form an original data set; (3) data screening and matching: performing candidate filtering on an original data set according to enterprise demand vectors, performing scoring by using multi-model fusion, and finally, giving a matching result by using dynamic optimization and combining a differential cold start strategy; and (4) result determination: determining a final matching result by adopting a mode of combining system auxiliary determination and enterprise autonomous determination. The method can meet the requirements of enterprises for efficient and accurate innovation information services, improves the innovation ability and market competitiveness of the enterprises, and has remarkable social and economic benefits.

The invention discloses a scientific and technological information and technology management system and method, which relate to the field of information management technology, and include an analysis object determination module, an environment domain data chain construction module, a key link determination module, an accident occurrence rate analysis module, a technology stack generation module and a newly added early warning response module; the analysis object determination module is used to take the project data of the historical records of a scientific and technological information storage platform as the analysis object; the environment domain data chain construction module is used to build the environment domain data chain of each scientific and technological project; the key link determination module is used to generate a key link composed of multiple execution processes in each data chain; the accident occurrence rate analysis module is used to analyze the accident occurrence rate corresponding to each key link; the technology stack generation module is used to generate a technology stack with the execution process recorded in the scientific and technological project as the search item and the risk ranking as the information item; the newly added early warning response module is used to output the necessary risk management process of the newly added scientific and technological project for early warning response.

The invention discloses an integrated debugging technology management and control method and system for a novel energy storage system, and relates to the technical field of energy storage system debugging management, and the method comprises the steps: building a digital twin model based on the full life cycle information of energy storage equipment, and expressing a multi-level component of the energy storage system through employing a topological dependency graph structure. And performing debugging path prediction on the topological graph based on the standard debugging task set, and generating an optimal debugging scheme through simulation drilling. And performing model parameter reverse correction and behavior recording on the acquired debugging process data. According to the method, a set of modeling-prediction-verification-correction-backtracking continuously-driven intelligent integrated debugging technology system is formed, the requirements of a novel energy storage system for debugging precision, efficiency and systematicness are met, the debugging process has self-learning, self-evolution and supervisory capabilities through fusion introduction of data and a model, and the debugging efficiency is improved. The method is a remarkable improvement and systematic breakthrough on the existing debugging technology normal form.

The present invention discloses a home processing technology management method and system based on the Internet of Things, specifically related to the field of processing process flow management, including obtaining first process parameters through a plurality of pre-deployed wireless sensor nodes, inputting them into a dynamic resource allocation model according to a process parameter database to obtain second process parameters; analyzing each home processing link implementing the second process parameters to obtain second key process features; and analyzing the home processing production process in real time to construct a home processing technology control strategy. The home processing technology management method and system based on the Internet of Things enhance the flexibility of equipment monitoring and layout adaptability by using flexible electronic technology to construct a dynamically reconfigurable Internet of Things perception layer; adopt a dynamic optimization model with a three-level optimization architecture to achieve precise adaptive adjustment of process parameters; and construct a dynamic optimization and closed-loop control system to significantly improve the product quality stability and production efficiency of home processing.

The present invention relates to the technical field of data recommendation, and discloses an implementation method and system for displaying recommended content on a science and technology management system dashboard, including: dividing data for each dashboard in the science and technology management system to obtain a second subcategory corresponding to the secondary directory of each dashboard; setting the performance behavior information of each employee position, where the performance behavior information includes the work content executed by the employee and the execution time period and execution area corresponding to the work content; constructing a mapping table; extracting the feature vectors of the mapping table to obtain a feature vector set corresponding to the mapping table; inputting the feature vector set into a deep learning neural network for training to obtain a content recommendation main model; and sending the content recommendation main model to each terminal based on an edge computing method. The present invention improves the work efficiency of employees.