18results about How to "Improve the ability to solve" patented technology

The invention, which relates to the technical field of artificial intelligence and skill training examination, discloses a multi-crowd adaptive training evaluation system comprising the following components: a user data management module, an RAG module, an answer processing module, a score analysis module, an intensive training module and a question bank updating module. According to the method, comprehensive and accurate assessment of the user ability is realized by constructing a multi-crowd adaptive training assessment system, the system constructs the user ability portrait by collecting historical data and real-time performance of the user in multiple dimensions and utilizing advanced data processing and analysis technologies, and dynamically adjusts the training content and difficulty, so that the user ability assessment efficiency is improved. According to the method and the system, the ability level and the learning requirement of different users are adapted, the personalized training mode not only improves the participation degree and the learning efficiency of the users, but also helps the users to quickly and accurately identify the ability weakness of the users, and powerful support is provided for subsequent improvement.

The invention discloses a charging and discharging control system and electronic equipment. The method comprises the following steps: S1, constructing a charging pile multi-target optimization model; s2, initializing a chaotic particle swarm optimization algorithm; s3, each particle in the particle swarm is optimized according to an objective function in the charging pile multi-objective optimization model; s4, carrying out loop iteration until the chaotic particle swarm optimization algorithm reaches a convergence condition; s5, generating a prediction result of the operating environment of the charging pile; s6, updating the current optimal particle and the global optimal particle; and S7, generating a multi-target charging and discharging optimization control strategy of the charging pile according to the optimized global optimal particle, applying the optimization control strategy to a charging pile charging and discharging control execution module, and executing multi-target charging and discharging control of the charging pile. According to the method, the globally optimal solution in a complex scene can be quickly solved, and the efficient operation requirement of the electric vehicle charging pile in a large-scale deployment scene is met.

The invention provides a post-earthquake emergency material distribution optimization method considering distribution fairness and demand urgency, and relates to the technical field of emergency logistics multi-target distribution optimization under the background of urban earthquake disasters, and the method comprises the following specific steps: S1, determining a basic hypothesis: considering the actual scene of disaster rescue operation, and making the basic hypothesis for the emergency material distribution problem; s2, establishing an emergency material distribution fairness model; s3, establishing a disaster point emergency material demand emergency degree evaluation index system; s4, establishing a multi-target path optimization model; and S5, solving the established multi-target model by using an improved mixed multivariate universe optimization algorithm. The mixed multivariate universe algorithm based on differential evolution is provided, higher convergence precision and better robustness and uniformity are achieved, the earthquake disaster emergency logistics distribution path optimization accuracy is improved, material demand urgency meeting and distribution fairness are guaranteed, the distribution cost is reduced, and the distribution efficiency is improved. And the disaster victim satisfaction degree and the demand emergency adaptation degree are improved.

The invention provides a ship vibration monitoring method and system based on a data model technology. The ship vibration monitoring method comprises the steps that monitoring information of a ship is collected, the monitoring information is processed through the data model technology, a monitoring model of the ship is constructed, the monitoring model is operated, and the operation state corresponding to each operation device in the ship is obtained; performing health assessment on the ship based on the operation state, determining a plurality of abnormal vibration characteristics of the ship according to the monitoring model when the ship does not accord with a specified health level, and determining an abnormal reason corresponding to each abnormal vibration characteristic, and generating a ship maintenance scheme for the ship according to each abnormal vibration characteristic and the corresponding abnormal reason, and displaying the ship maintenance scheme, so that the operation state and health condition of equipment and a system in a cabin can be analyzed and evaluated, and support is provided for decisions in the aspects of use, operation, control, overhaul, management and the like of the equipment and the system.

The utility model relates to the field of diesel engine crankshaft parts, in particular to a crankshaft of a diesel engine for teaching. The crankshaft of the diesel engine for teaching comprises a support, mounting grooves and clamping jaws, the top of the support is rotationally connected with a crankshaft body, the middle of the support is fixedly connected with a cross rod, a tank is mounted on the cross rod, the mounting grooves are symmetrically formed in the crankshaft body, balancing weights are mounted in the mounting grooves, and the two clamping jaws are symmetrically mounted at the bottom of the support. According to the utility model, the mounting seat and the balancing weight are arranged on the crankshaft body, and the motor is combined to drive the crankshaft to rotate, so that the state change of the crankshaft in the movement process can be intuitively displayed; meanwhile, the transparent tank body on the cross beam and the shaking condition of clear water in the transparent tank body can clearly reflect the uniformity of the crankshaft counterweight and whether defects exist or not, so that students are helped to better understand the importance of the crankshaft balance.

The invention discloses a citrus orchard image data acquisition and annotation method, which relates to the technical field of image acquisition, and further comprises a factor analysis module, a default module, an image data standardization module, an image database module, an abnormal image analysis module, an abnormal root analysis module and a correction module. The system has the advantages that the quality of the acquired citrus orchard image can be obviously improved through the default module, the state and details of the fruit tree can be observed more clearly, the weather state information at the current acquisition time can be acquired by using the image data standardization module, the data is adjusted according to the image definition, and parameter adjustment data is generated, so that the accuracy of the system is improved. The reliability and the stability of image acquisition are improved, excessive influence of external factors such as weather change is avoided, the reason of the abnormal condition of the fruit tree can be analyzed according to the abnormal condition information of the fruit tree by utilizing the abnormal root analysis module, and the efficiency and the effect of problem solving are improved.

The invention belongs to the field of model detection and symbol simulation, and relates to a symbol track value counting method and system based on a satisfiability model theory solver and limit model detection. The method comprises the following steps of: taking a hardware description language Chisel and a circuit specification described by extended track counting logic as input, reading the extended track counting logic through a preprocessing module, and performing logic synthesis and SMT (Surface Mount Technology) coding on a Chisel circuit; and the model detection rear-end module verifies the circuit specification based on SMT coding in combination with an STE algorithm and a BMC algorithm. According to the method, the respective advantages of the BMC and the STE are combined to enhance the solving capability of the symbol track value, the efficiency and the reliability of model detection are improved, meanwhile, the standard description capability of the STE is expanded on the Chisel level, and the verification process is greatly simplified.

The invention relates to the technical field of artificial intelligence and evolutionary computing, and particularly discloses a memory annual ring learning-based evolutionary method, which comprises the following steps of: locking elite groups, extracting core declusters, coding task constraint fingerprints, backtracking efficient operators, drawing performance operator portraits, constructing memory annual ring units and storing the memory annual ring units in a memory annual ring library. When facing a new task, analyzing and generating a to-be-matched task fingerprint, matching a historical memory annual ring unit, extracting a core declustering and efficiency operator portrait, remodeling a population basis, generating a dynamic operator weight table, and executing dual-channel collaborative guide evolution; according to the method, through collaborative optimization of the solution space and the strategy space, the convergence speed and the solving performance of the algorithm in a new environment are remarkably improved, conversion from blind exploration to experience guidance is achieved, and the challenges of knowledge migration and experience reuse in dynamic change or staged tasks of a traditional evolutionary algorithm are solved.

The utility model discloses a hole-free shear wall inner wall detachable teaching model, which comprises two vertical plates, a first transverse plate and a second transverse plate, the first transverse plate and the second transverse plate are detachably assembled at the two ends of the two vertical plates respectively, a horizontal overhanging steel bar penetrates through the two vertical plates, a vertical overhanging steel bar penetrates through the first transverse plate, and the second transverse plate penetrates through the second transverse plate. And one end part of the vertical outwards-extending reinforcing steel bar is positioned in the second transverse plate. According to the utility model, visual teaching is realized, so that students can intuitively understand the arrangement and connection mode of the steel bars in the shear wall; the practical operation capability is improved, and the operation steps in the actual construction process are simulated by disassembling and reassembling the steel bars in the model; and the error analysis and solution capability is improved.

This application discloses a method, apparatus, and equipment for optimizing the frequency conversion of fans in a multi-level station ventilation system. The method includes: acquiring a ventilation network model of the multi-level station ventilation system; calculating airflow distribution in the ventilation network model based on a ventilation network solution method, and adjusting the ventilation network model based on the airflow distribution calculation results until the simulated operating conditions of the fans in the ventilation network model match the actual operating conditions; generating at least one candidate fan frequency conversion control scheme based on the underground ventilation airflow demand and the corresponding set optimization model of the multi-level station ventilation system; and determining the optimal fan frequency conversion control scheme based on the at least one candidate fan frequency conversion control scheme and the underground ventilation airflow demand; wherein the set optimization model is a multi-objective mixed integer linear programming model. This enables intelligent frequency conversion control of the multi-level station ventilation system and significantly improves the solution performance of the fan frequency conversion control scheme.

The embodiment of the invention discloses an AI-based question interaction method and electronic equipment. The method comprises the following steps: receiving a question proposed by a user; understanding the problem through a target agent Agent and outputting a processing result, wherein the target agent comprises a planner, an inference device and an actuator; the target Agent is used for performing the following processing: with solving the problem as a target, performing task decomposition through the planner, and generating an optimal task for solving the problem; reasoning at least two actions required to be executed for completing the preferred task through the reasoner, wherein the actions comprise a result action and a non-result action; the at least two actions are executed through the executor, and in the process of executing the non-result action, the partially completed stage completion result corresponding to the result action is returned to the user. Through the embodiment of the invention, the user question can be more intelligently answered, and the waiting time of the user is shortened.

This invention provides a method for the continuous evolution of code agents based on structured memory. Addressing the problem that existing code agents cannot adapt to complex repository-level tasks, this invention proposes a human-machine co-evolution framework. The method mainly includes three stages: First, the memory construction stage, which uses a large language model to extract historical code submission records into standardized structured memories and constructs a vector database; Second, the dynamic execution and self-correction stage, where, when handling new tasks, a two-stage retrieval mechanism is used to obtain the most relevant historical experience to the current problem, and a refined sub-agent is introduced to generate test cases and verification lists, providing real-time guidance and correction to the main agent's generation results; Third, the experience internalization stage, where manually verified task solutions are again converted into structured memories and stored in the database. This invention, by constructing a closed-loop evolution mechanism, significantly improves the accuracy and automation level of code generation and defect repair.

The invention provides a multi-unmanned aerial vehicle task allocation system based on a two-stage multi-population wolf pack algorithm, and the system comprises an initialization module which defines the position of an individual wolf in the two-stage multi-population wolf pack algorithm as a multi-unmanned aerial vehicle task allocation scheme, and divides a wolf pack into a plurality of sub-populations, including a common group and a leader group; the wandering module is used for re-ordering task numbers by adopting different wandering frequency calculation methods for the common group and the leader group for wolf detection; the calling module is used for learning the scheme of the current first wolf at different convergence speeds by the common group and the leader group; according to the purse module, except the head wolf, the individual wolves of the common group and the leader group adopt different threshold values to carry out variation or learn the scheme of the low-fitness individual wolves; the individual wolf reconstruction module is used for reconstructing by adopting a roulette mechanism; and the sub-population adjustment module is used for starting a multi-population mechanism after reconstruction is completed, and reforming a leader group. The wolf pack algorithm is improved through multiple mechanisms, and the solving efficiency and accuracy are improved.

This invention relates to the field of computational electromagnetics, specifically to an antenna layout modeling and analysis method based on coupled rays and current basis. The method includes: defining electrically small and electrically large regions of the electrically large carrier antenna layout target and generating mesh data; assembling the system matrix within the electrically small regions; accurately aggregating all illuminated areas within the electrically large regions using backward ray tracing technology; establishing a cyclic iterative mode for the electrically small and electrically large outer surface currents; obtaining the overall stable current distribution on the outer surface based on the residual convergence results of the currents in the electrically small regions; and finally solving for the antenna layout performance characteristics affected by the coupled electrically large carrier currents. This invention effectively improves the accuracy and efficiency problems of the traditional integral-ray hybrid method, and enhances the design efficiency of electrically large carrier antenna layouts.

The utility model discloses an electric power system whole process operation control experiment platform comprising an electric power system power plant operation control experiment system, an electric power transmission line operation control and protection experiment system, a transformer station experiment system, a factory power supply and power distribution operation control and protection experiment system and an electric power system whole process operation control system. The power system power plant operation control experiment system comprises a generator set and a power plant control cabinet, the power plant control cabinet is connected with the generator set, the generator set is connected with the power transmission line operation control and protection experiment system, and the power transmission line operation control and protection experiment system is connected with the transformer substation experiment system. The substation experiment system is connected with the factory power supply and power distribution operation control and protection experiment system, has an integrated function of power generation, power transmission, power distribution and power utilization, and is more reasonable and advanced in software and hardware design, so that students can perform whole-process experiment operation of the power system on the same platform and know operation and control of the power system better; and the safety and stability of the experiment process are ensured.

The application discloses a reinforcement learning driven heuristic solving method for multi-ship co-dock maintenance scheduling, and three global search operators are designed for the multi-ship co-dock maintenance scheduling problem. One is a ship crossover operator, which is used to adjust and exchange the maintenance order of the ship. The second is a maintenance task destruction operator, which breaks the original task structure by extracting part of the task from the current maintenance task sequence, providing a larger optimization space for subsequent search. The third is a maintenance task recombination operator, which inserts the extracted maintenance task into the existing maintenance task list to form a new maintenance task order, thereby improving the possibility of obtaining a better scheduling scheme. The execution process of the global search operator is adaptively guided, and a more suitable search operation is dynamically selected according to the state information in the solving process, so as to reduce the invalid search overhead in the meta-heuristic algorithm, improve the utilization efficiency of the computing resources, and further improve the solving efficiency and solving effect of the multi-ship co-dock maintenance scheduling problem.

The utility model discloses an inclined avoiding type mechanical arm, and relates to the technical field of mechanical automation. Comprising a bottom plate, a supporting plate, a first driving lead screw, a first driving seat, a driving plate, a guide rail, a guide chute, a sliding block, a connecting seat, a sliding chute, a second driving lead screw, a second driving seat, a mounting plate, a connecting plate, a connecting disc, a connecting block, a reset spring, a lifting rod, a connecting frame and a mechanical arm main body. The bottom plate serves as a basic supporting part of the whole mechanical arm and provides a stability and installation platform for the whole structure. And the supporting plate is fixed on the bottom plate. According to the inclined avoiding type mechanical arm, through the multi-shaft linkage design, guiding and sliding groove structure optimization, introduction of the reset spring and modular design, the operation flexibility, the movement precision and the stability of the mechanical arm are remarkably improved. The device can effectively avoid collision and damage, adapts to complex working environments, and has wide application prospects and market value.

The invention relates to an intelligent question-driven personalized thinking training system. The system comprises a data acquisition module, a guide strategy modeling module, a dynamic progressive question interaction module and a learning condition analysis and optimization suggestion module. The data acquisition module is used for acquiring guide data; a guidance strategy modeling module performs adaptability verification on the guidance data, and obtains a question style based on a verification result and a student background; vocabulary disassembling is carried out based on the teaching target, a mapping relation is established, and guide configuration data is acquired; the dynamic progressive question interaction module is combined with student input viewpoints, a question sub-module is used for generating a migration question of the teaching target, progressive question data and interaction state data are obtained, and the question data and the interaction state data are stored; the learning condition analysis and optimization suggestion module is used for analyzing the stored data and generating a structured evaluation report for guiding optimization suggestion; and personalized thinking training of students is realized.