5results about How to "Make smart choices" patented technology

This invention provides a method and system for optimizing downhole communication links based on self-organizing networks, relating to the field of communication link technology. The method includes acquiring communication node information, constructing a network topology, and determining network characteristic parameters; constructing a link quality prediction model to evaluate link quality; performing dynamic network partitioning and establishing a node priority ranking table to select the optimal transmission path; and real-time monitoring of link status, triggering node self-organizing reconfiguration when necessary. This invention can improve the connectivity, stability, and transmission efficiency of downhole communication networks, reduce communication latency, and enhance the safety of downhole operations.

The invention relates to the technical field of storage intelligent management systems, in particular to a cold chain storage intelligent management system based on the internet of things, which comprises an internet of things network constructed by a plurality of cold chain warehouses, and is characterized in that each cold chain warehouse is internally provided with a temperature adjusting device, an image acquisition device, a temperature acquisition device and a storage and transportation planning module; determining a circulation coefficient according to the space utilization rate of the corresponding cold chain warehouse, determining a to-be-circulated storage object list based on the circulation coefficient and the historical warehouse-out data, and responding to the to-be-circulated storage object list or the to-be-stored object list to obtain the to-be-delivered storage object list so as to match the cold chain warehouse. And a warehousing strategy is determined according to the number of the cold chain warehouses which can be matched. According to the invention, the technical problem that the storage environment of the stored objects is not matched with the actual demand due to the change of the storage environment of the stored objects and the space proportion caused by the fact that the warehouse-in and warehouse-out link of the goods is not comprehensively considered in the prior art is solved.

The invention relates to the technical field of communication, in particular to a self-adaptive multi-joint diversity method, system and equipment based on an evaporation waveguide channel and a medium. Meteorological parameters are collected, system diversity parameters are defined, a corrected refractive index profile is constructed, and the height of an evaporation waveguide is determined; based on the corrected refractive index profile, an initial field is calculated through a primary algorithm, the generated initial field is placed in a constructed refractive index profile environment, propagation and output field intensity distribution of an electromagnetic field in a non-uniform medium are solved step by step, RMS time delay spread is calculated through a secondary algorithm, coherent bandwidth is estimated, and the minimum frequency interval is determined based on the coherent bandwidth. Adjusting the minimum frequency interval; the method comprises the following steps: comparing a frequency interval with a minimum frequency interval, adaptively adjusting the frequency interval, respectively simulating space diversity, time diversity and frequency diversity, superposing different diversity, calculating outage probability and fading depth under different diversity, reducing depth fading caused by severe fluctuation of signal amplitude, and improving system availability.

This invention discloses an AI-based personalized ideological and political education teaching system, specifically in the field of personalized teaching demonstrations, designed to address the problem that existing ideological and political education classrooms, in large-class settings, struggle to cater to students from different majors. The system constructs a logical display structure for the classroom, comprising a main lecturer demonstration layer and a major-specific adaptation demonstration layer. It generates a case structure tree containing core demonstration nodes and major-specific adaptation sub-nodes. Using a graph neural network model, it calculates the matching relationship between major-specific adaptation sub-nodes and student course system tags, generating corresponding adaptation content sequences for different major groups. Based on a unified teaching timeline, the system generates a collaborative control instruction set, driving the main lecturer demonstration layer and each major-specific adaptation demonstration layer to synchronously present case content during classroom teaching. This achieves differentiated teaching demonstrations across multiple majors while ensuring consistency in the main teaching line, thereby improving the effectiveness of ideological and political education classroom teaching and student participation.

The technical scheme of the invention discloses a deep optimization multiplier formal verification method based on a graph neural network and a reference library. According to the invention, a reference design which is most similar to the structure of the multiplier to be verified can be automatically selected from a large-scale reference library, and verification technologies such as SCA or SAT are adaptively selected so as to avoid invalid or high-cost verification attempts; and a high verification success rate and acceptable operation time can be still maintained under complex architectures such as Booth coding and the like and a deep optimization scene. According to the invention, the deep learning technology and the formal verification technology are innovatively combined, the high-level structure representation of the multiplier circuit is learned through the graph neural network, the internal association between the structural similarity and the verification difficulty is established, the intelligent selection of the verification method and the accurate matching of the reference circuit are realized, and the verification efficiency is improved. Therefore, the verification efficiency and success rate of the complex multiplier are remarkably improved.