7 results about "Technical innovation" patented technology

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 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 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 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 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.