5results about How to "Ensure diversity" patented technology

An aircraft equipment cabin visual field blind area augmented reality auxiliary assembly method comprises a depth camera self-positioning based on point cloud registration, an assembly object pose estimation based on deep learning, an assembly object pose estimation based on an edge region, a pose estimation method adaptive switching and an auxiliary assembly guide visualization; the adaptive switching method is used to fuse the pose estimation method based on deep learning and the pose estimation method of traditional image processing, so that the robustness, real-time performance and accuracy of the pose estimation are balanced; meanwhile, based on the pose estimation result, the visual field blind area of the assembly process can be visualized by using the augmented reality technology, and the assembly result is detected, which is beneficial to the user to quickly locate the assembly object and complete the assembly task, so as to improve the consistency, real-time performance and immersion of the aircraft assembly operation guide, and further improve the artificial assembly efficiency and quality.

The embodiments of the present invention aim to provide an aperture module and a camera module including the aperture module that can reduce magnetic interference between the AF magnet and the ring magnet. By appropriately adjusting the magnetic pole positions of the AF magnet and the ring magnet, magnetic interference is reduced, making the drive of the aperture module smoother. The correlation between the number of magnetic poles of the AF magnet and the ring magnet can be utilized to ensure the diversity of the number or position of multiple coils, fixed shafts, and rolling components inside the aperture module by increasing the number of magnetic poles of the second magnet. This allows for more free design of the aperture module. Furthermore, two or more position sensors can be asymmetrically arranged according to the coil arrangement to more accurately measure the rotational displacement of the ring magnet. The thrust of the aperture module can also be adjusted by the size, number, and number of turns of the coils.

The application discloses a kind of network type converter and electric heat cold energy storage system collaborative optimization control method, contain steps as follows: construct "network type converter-electric heat cold energy storage-flexible load" multi-objective optimization model;Establish the collaborative constraint of network type converter and energy storage system;Establish demand response and network state linkage mechanism;Solve the multi-objective optimization problem by NNC algorithm and combine TOPSIS method to filter optimal operation scheme;According to optimal operation scheme, dynamically adjust the virtual inertia and droop coefficient of network type converter, synchronously dispatch electric energy storage charge-discharge power and cold energy storage and / or heat energy storage electric drive equipment operating state.The method can quickly and accurately suppress new energy output fluctuation and load mutation, strictly constrain system voltage deviation and frequency deviation within a more optimal operating range, fundamentally enhancing the transient stability and dynamic power quality of the grid with high proportion of new energy access.

The pipe network robot path and data station deployment joint optimization method disclosed by the application belongs to the technical field of smart city infrastructure operation and maintenance, and specifically comprises the following steps: firstly, a pipe network-robot-data station system model is constructed, and the pipe network topology is mapped into an undirected graph; secondly, combined with EPANET hydraulic simulation data, the pipe monitoring time is calculated under the conditions of downstream flow and upstream flow, and a hybrid graph with time weight is constructed; then, a weighted optimization mathematical model with the double objectives of minimizing the maximum monitoring time and minimizing the maximum data delay is established, and constraint conditions such as pipe full coverage and robot collision-free are defined; finally, the NSGA-II algorithm is used to generate a Pareto frontier, and the best compromise scheme is selected through weight distribution. The application solves the technical problems that the robot path planning and data station deployment lack cooperation in the existing pipe network monitoring technology, and the pipe network hydraulic characteristics are not coupled, so that the monitoring time and data delay are difficult to consider.

This invention discloses a method for generating Text2SQL datasets based on dynamic difficulty adjustment. The method proposes a complexity metric to evaluate the complexity of SQL statements and text. A large language model is used to generate a Text2SQL dataset based on a prompt word generation template, incorporating dynamic constraints into the template. The complexity of the data generated by the large language model is evaluated using the complexity metric, and compared with a preset difficulty target distribution. The dynamic constraints are then modified to guide the model to generate data that conforms to the expected target distribution. Simultaneously, validation and correction templates are set to ensure the execution and semantic correctness of the generated data, improving the efficiency and quality of dataset construction, ensuring dataset diversity and relevance, and providing the model with more comprehensive and practical training data. This helps improve the generalization ability and performance of the Text2SQL model in different scenarios.