6results about How to "Significant application value" patented technology

The application discloses a synthesis method of 9-bromoanthracene and belongs to the technical field of organic synthesis. Anthracene is used as raw material, inorganic bromide salt is used as a bromine source, hydrogen peroxide is used as an oxidant, and 9-bromoanthracene is synthesized in a mixed solvent under the catalysis of a composite Lewis acid with high selectivity; the crude product is purified through step-by-step fractional recrystallization to obtain a high-purity product. Through the synergistic effect of the composite catalytic system and the mixed solvent, the generation of the difficult-to-remove by-product 9,10-dibromoanthracene is inhibited from the source, and the efficient separation of the product and the key impurities can be realized without column chromatography by combining the gradient cooling fractional crystallization process. The process is green and safe, simple to operate, low in cost and easy to industrialize, and the prepared 9-bromoanthracene can meet the application requirements in high-end fields such as OLED photoelectric materials.

The application discloses an audit literature mind map generation method and system based on feature refining and a large language model, first extracts object theme information, text information, reference object information and hierarchical information in target audit literature and converts them into structured audit text information, and then adopts a hybrid weight model to calculate the global importance of keywords in the structured audit text information and extract target text keywords; the application realizes the function of efficiently generating corresponding audit mind maps for audit literature, and through the adoption of a graph neural network, the logical coherence of text object information can be enhanced and the logical relationship between different nodes can be ensured to be rigorous, and through rule constraints, the text information can be ensured to conform to the audit field specifications, which not only can enhance the systematicness and logicalness of knowledge organization, but also can finely control the generated content, and at the same time, can provide accurate audit literature reading assistance for users and greatly improve the understanding and analysis efficiency of audit literature.

The application discloses a kind of intelligent management system and method of product oil transaction fusing knowledge graph, it is related to the technical field of intelligent management, including the following steps, step S100, based on nonlinear fork type bifurcation model, the stable boundary of entity association is obtained and entity is filtered, step S200, construct heterogeneous graph convolution network, based on graph query language and heterogeneous graph convolution network, obtain knowledge spectrum diagram, step S300, based on knowledge spectrum diagram identification current abnormal node and trace back first transaction path.The application is by introducing nonlinear dynamics method to process the stability screening of transaction entity, eliminate risk entity from the root, realize the abnormal tracing based on graph reasoning, provide the complete transaction path of explainable, upgrade knowledge graph from static knowledge base to dynamic analysis engine, promote product oil transaction management from experience-driven to data intelligent-driven, have significant technical advantages and application value in improving regulatory efficiency, preventing and controlling transaction risk, supporting tax compliance and the like.

A dynamic decision-making method and system for unmanned aerial vehicle (UAV) safety strategies is disclosed. The method includes: continuously monitoring historical data sequences of at least one state parameter in the UAV system; predicting the expected time-to-failure (TTF) for the state parameter to reach a preset critical value based on the historical data sequences; triggering an early warning and evaluating strategies in a candidate strategy set using a two-layer evaluation mechanism before the predicted failure occurs, when the TTF is less than or equal to an early warning time threshold N; and obtaining a recommended strategy list when the TTF is less than or equal to a pre-execution time threshold M; and executing the highest-priority strategy in the recommended strategy list without external intervention; wherein the early warning time threshold N is greater than the pre-execution time threshold M. This invention aims to overcome the shortcomings of existing technologies and achieve a leap from passive response to proactive management through trend prediction, quantitative evaluation, and tiered early warning.

This invention discloses a refractory spraying system and method for tundishes. The system includes guide rail modules laid along three tundish workstations, a work machinery unit equipped with a six-degree-of-freedom robotic arm, a lifting drive mechanism, modular work components integrating electrical and pneumatic connection modules, a quick-change material box, and a central control system. The six-degree-of-freedom robotic arm's range of motion can cover the entire area inside the tundish. The work method adopts a three-station continuous operation mode, precisely matching the process time of refractory spraying and drying. It can also switch between high-speed and low-speed spraying modes to adapt to different tundish wall temperatures and is equipped with a standardized construction process. This invention achieves no idle time for the work machinery, improves construction efficiency and spraying quality, eliminates blind spots in construction operations, has a high degree of automation throughout the process, low equipment maintenance costs, strong system versatility, and can adapt to the needs of industrialized batch construction.

The application discloses a crusher material automatic grading control method and system based on image recognition, which comprises the following steps: collecting a dynamic image sequence, extracting deformation gradient, normal change rate and edge disturbance features; collecting torque signals and the like, constructing a dynamic sequence and extracting a chaotic dynamic feature vector; collecting stress and acoustic vibration signals, and fusing to generate a multi-field collaborative feature vector; inputting an improved ResNeXt network, fusing three types of features, and outputting particle size classification and deviation information; constructing a grading evolution controller, performing strategy adaptive reconstruction, and generating optimal control instructions; and executing discharge port, rotating speed and feeding adjustment, and closing loop feedback to the previous process to realize dynamic control. Through the fusion of dynamic image topological features, crushing dynamics features and multi-physical field features, and in combination with an adaptive evolution control mechanism, high-precision identification and full-automatic optimal adjustment of the particle size of the crusher material are realized.