6results about How to "Tightly coupled" patented technology

The application discloses a deep roadway dynamic and static load source cooperation integrated strong support method and system, belongs to the underground engineering roadway intelligent support technical field, and the method is as follows: capturing surrounding rock stress and energy events, establishing a correlation model, dividing the roadway space into a global static load bearing area and a dynamic impact key protection area; constructing an ultra-large tonnage prestressed anchor cable / rod, erecting a collapsible heavy U-shaped steel support and spraying a steel fiber concrete to form a composite surface protection structure, and then evaluating the cooperation performance; in the static load bearing structure, active energy absorption units are additionally arranged between main anchor rods / cables, and passive energy dissipation units are filled between the U-shaped steel support and the concrete spraying layer. The system is as follows: a load fine identification module is used for distinguishing two types of loads and dividing areas; a main strong support subsystem is used for implementing active and passive cooperative support; a key area buffer subsystem is used for strengthening the impact key area; and an intelligent monitoring feedback platform is used for dynamically evaluating the performance. The application can significantly improve the overall stability of the deep roadway.

This invention discloses an entity relationship recognition method and apparatus for decision knowledge graphs. The method includes: retrieving a set of decision text information from a decision knowledge text database; preprocessing the set of decision text information to obtain a preprocessed dataset; and performing entity relationship recognition processing on the preprocessed dataset to obtain an entity relationship information set.

The invention discloses an FPSO mooring system optimization design method, and particularly belongs to the technical field of ocean engineering mooring design. The method comprises the following steps: constructing an initial mooring model; optimization variables are defined, constraint conditions are determined, multiple sets of values of each set of optimization variables are assigned to the initial mooring model, and a multi-objective function is obtained; dynamically analyzing the optimization variables to generate an initial data set; based on the initial data set, establishing a multi-target agent model through an LSTM network; generating a new sample based on the initial data set by adopting an adaptive Latin hypercube sampling method; optimizing by using a genetic algorithm to obtain an optimized solution set; and carrying out real calculation on an optimal solution in the optimal solution set to obtain a simulation result, and judging whether constraint and performance requirements are met or not. According to the method, the problems of high cost and low efficiency of mooring design under complex sea conditions are solved, experience driving of the mooring scheme is changed into intelligent algorithm driving, and reliable technical guarantee is provided for large-scale deployment of the floating platform.

This invention relates to the field of batteries, and more particularly to a nitrogen-doped carbon / tungsten diselenide nanosphere composite material, its preparation method, and its applications. This invention achieves tight coupling between few-layer WSe2 nanosheets and a nitrogen-doped carbon framework through a process combining complexation-polymerization and subsequent selenization. The resulting material consists of nanosphere particles, providing more electrochemical active sites and shortening the zinc ion diffusion distance. By introducing a nitrogen-doped carbon framework, this invention effectively improves the overall conductivity of the composite material and suppresses the stacking and aggregation of WSe2 nanosheets during charge and discharge, thereby significantly improving rate performance and cycle stability.

This invention discloses a method and system for intelligent game testing and verification of wireless communication signals. The method includes: determining the configuration information of the communicating system and the interfering system; configuring the communicating system and the interfering system according to the determined configuration information, and starting game testing after configuration; statistically analyzing the game test results to obtain statistical results for the communicating system and the interfering system; calculating indicators based on the statistical results for the communicating system and the interfering system to obtain indicators for the communicating system and the interfering system; performing a weighted comprehensive evaluation calculation based on the indicators for the communicating system and the interfering system to obtain a comprehensive evaluation result; and measuring the intelligent game capability of the tested communication system based on the comprehensive evaluation result. This invention solves the problem of weak coupling between intelligent game testing and evaluation of wireless communication signals and application scenarios, as well as the problems of poor adaptability of existing intelligent game testing and evaluation methods for wireless communication signals and incomplete indicator systems.

The application discloses a reconfigurable target detection coprocessor and method based on RISC-V, relates to the technical field of embedded artificial intelligence and computer architecture, and is connected with a RISC-V main processor and a system on chip (SoC) memory, wherein the reconfigurable target detection coprocessor based on RISC-V, the RISC-V main processor and the SoC memory are integrated in a system on chip (SoC) chip; the application generates hardware configuration information through the RISC-V main processor, combines a dynamically reconfigured programmable data exchange network, realizes software definition of a hardware data path, enables a single hardware platform to efficiently accelerate support for multiple target detection algorithms with different structures, and improves flexibility and versatility of multi-target detection; and the data path dynamically reconfigured by the control unit ensures close coupling between basic computing units, eliminates idle resources caused by data flow mismatch in a fixed architecture, and significantly improves utilization of the basic computing units.