5results about How to "Fully explore" patented technology

The application discloses a method for matching selection of a ship body, a main engine and a propeller, and comprises the following steps: step 1, setting ship parameters, design requirements and propeller parameters; step 2, constructing a propeller hydrodynamic performance prediction model based on a support vector machine, wherein the input of the model is the propeller parameters, and the output of the model is the open water power of the propeller; step 3, constructing a four-stage matching method, and optimizing a disc area ratio in each stage; step 4, performing cavity checking and strength checking on the matching results output in step 3, and taking the matching results meeting the checking as effective propellers; and step 5, sorting the effective propellers by a double optimization target method, and taking the optimal effective propeller as the final matching result. The application can quickly provide the matching selection result of the ship body, the main engine and the propeller, can comprehensively design the main engine and the propeller parameters, and ensures that the open water efficiency of the propeller reaches the optimum, and reduces the labor cost in the design process.

The application particularly relates to a message transmission method combining a priori routing and a DTN and a storage medium. The method comprises the following steps: establishing and maintaining a routing table in each node of the network based on a priori MANET routing protocol mechanism; when a message source node transmits a message to a message destination node: firstly, the message is transmitted by using the priori MANET routing mechanism; otherwise, a message copy distribution algorithm based on location information is used, and a DTN mechanism is used to distribute the message copy to a relay node at the topological boundary of the message source node end, so that the relay node becomes a virtual source node; if the message transmission is unsuccessful, the message copy is stored in the relay node at the interruption, so that the relay node becomes a virtual source node; the virtual source node broadcasts routing query information to its neighbor nodes, and the routing table of the neighbor nodes is inquired; when an opportunity to establish a connection with the message destination node is found, the above steps are repeated. The application can improve the reliability of message transmission by using the DTN routing mechanism, and can fully explore the connectable sub-topology in the MANET network.

This invention discloses a method and system for optimizing gift design schemes by integrating multimodal user demand perception, relating to the field of data processing technology. The method includes: acquiring a set of gift size demand features; calculating the weight coefficients of each gift size demand feature through sensitivity analysis combined with historical gift design schemes; constructing a collaborative optimization objective function for gift size, using size design parameters as independent variables and maximizing the overall matching degree as the optimization objective, while setting cost constraint thresholds and material size matching thresholds as optimization constraints; acquiring the gift size design range, iteratively solving the collaborative optimization objective function to obtain multiple candidate size design schemes that satisfy all constraints, and the overall matching degree corresponding to each candidate scheme; selecting the candidate size design scheme with the highest overall matching degree and single-dimensional matching degree to obtain the optimal gift size design scheme set. This invention effectively improves the overall matching degree of gift size design under multimodal user demand.

This invention provides a reverse design method for wharf foundation piles based on multi-objective optimization, belonging to the field of civil engineering structural design technology. In the composite load space composed of vertical, horizontal loads, and bending moments, this invention uses a shape parameter vector containing dimensions and coupling coefficients to define and parameterize the target failure envelope. By performing numerical limit state analysis and fitting on design samples, the actual shape parameters are obtained. This is used to train a machine learning model that can quickly predict the shape of the corresponding envelope from the design parameters. Using the difference between the predicted shape and the target shape as the optimization objective, and combined with construction costs, the model is used to evaluate candidate designs. A multi-objective optimization algorithm is used iteratively to obtain a set of design parameters that optimally balance performance and cost. The selected design is verified through high-precision simulation. After confirming that its actual performance matches the target, the parameters and performance information are integrated into a standard digital file to directly drive automated construction.

The invention discloses an automatic driving lane changing decision-making method and device and a storage medium, and the method combines frequency space action marking (FAST) and Monte Carlo tree search (MCTS): firstly, compressing and coding a continuous driving action sequence into low-dimensional discrete marks by using a FAST model, and constructing an efficient semantic action space; further, a strategy neural network is trained, diversified candidate action marking sequences are predicted in the marking space according to the current environment state, and a plurality of smooth intention tracks are obtained after FAST decoding; and finally, expanding and simulating the intentional tracks as feasible actions of the MCTS, and selecting a lane changing strategy with the optimal long-term benefit through a search evaluation mechanism. According to the method, the search space of the MCTS is greatly reduced through discretization compression of the action space, so that accurate evaluation of decision-making long-term benefits becomes possible, and anthropomorphic, safe and comfortable lane changing behaviors can be efficiently generated.