17 results about "Technology management" patented technology

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 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.

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 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 present invention provides a proprietary technology management method and an information processing device, which facilitate time series management of proprietary technologies by using machine learning and the like, and improve the reliability of accumulated proprietary technologies. A proprietary technology management method executed by an information processing apparatus includes: determining a technical field of proprietary technology information when the proprietary technology information is acquired; the version management of the plurality of pieces of proprietary technical information is performed independently for each of the determined technical fields.

The application discloses a data intelligent analysis system and method of a science and technology management platform, relates to the technical field of project matching analysis, and comprises the following steps: collecting data in a science and technology enterprise research and development management platform, performing cleaning, deduplication and standardization processing, and establishing associated relationship data between research and development personnel and projects; constructing a personnel capability-project progress multi-dimensional evaluation index system; according to the multi-dimensional evaluation index system, analyzing historical project data and achievement data of the research and development personnel, calculating a research and development personnel capability characteristic vector, and constructing a research and development capability portrait model; based on the research and development capability portrait model and technical demand characteristics of a current project, calculating a matching relationship between the research and development personnel and the project, obtaining a team-project matching degree score, and generating a research and development team configuration suggestion. The application improves overall research and development resource configuration efficiency through comprehensive evaluation of candidate teams and recommendation of optimal teams.