9results about How to "Achieving system performance" patented technology

The invention discloses a method for optimizing key structure parameters of a deep well electric submersible pump based on performance simulation, and relates to the technical field of design optimization of electric submersible pumps, a three-dimensional geometric model of a deep well submersible centrifugal pump is built in advance, the three-dimensional geometric model comprises an impeller, a guide shell, a pump shaft, a pump shell, an upper connector, a lower connector and a full-flow-channel structure, and initial structure parameters are calibrated; and establishing a centrifugal pump simulation model based on a computational fluid dynamics technology, performing fluid domain extraction, grid division and grid independence verification on the three-dimensional geometric model, and setting fluid attributes, boundary conditions and a turbulence model. According to the method, a closed-loop iteration framework for simulation, optimization, evaluation and feedback is constructed by adopting a mode of coupling a computational fluid dynamics simulation technology and a genetic algorithm, the limitation of local parameter optimization in the prior art is broken through, systematic and collaborative optimization of key structure parameters of the submersible centrifugal pump is realized, and the method is suitable for large-scale popularization and application. And the efficiency of the optimization process and the final optimization effect are obviously improved.

The application discloses an industrial robot flexible operation control method and system, and the method comprises the following steps: acquiring physical interaction representation of a robot and a workpiece to be processed, combining historical workpiece representation, determining a new task operation type through a task graph neural network, including reuse, combination or new establishment; generating or selecting corresponding strategy head parameters according to the operation type, combining environment observation to generate and execute mechanical arm action instructions; when the number of strategy heads exceeds a preset capacity, triggering compression maintenance, screening and retaining representative strategy heads to form an optimized active strategy library. The application realizes rapid strategy determination and generation based on physical interaction and graph structure relationship, significantly reduces manual demonstration and training time, and improves production line change response speed; through a structured compression mechanism, the strategy diversity and global knowledge are maintained under limited storage resources, and the adaptive ability and decision efficiency in long-term operation are guaranteed.

The invention provides an automatic driving multi-agent performance evaluation system and method based on a virtual-real fusion scene, and belongs to the technical field of automatic driving evaluation, and the system comprises a scene simulation subsystem which is used for obtaining environment parameters, constructing and obtaining a virtual-real fusion test scene according to a structured scene configuration template, and employing a generation point three-level verification algorithm to obtain a virtual-real fusion test model; obtaining an initialized automatic driving agent; the scene performance evaluation subsystem is used for collecting and complementing multi-dimensional data, evaluating to obtain a comprehensive score according to a preset evaluation dimension, and performing unsupervised clustering, anomaly detection and performance prediction by utilizing machine learning to obtain a machine learning analysis result; the comprehensive evaluation report and decision support subsystem is used for receiving the comprehensive score and the machine learning analysis result, obtaining a comprehensive evaluation report through problem diagnosis and generating decision optimization; according to the invention, the problem that systematic, multi-dimensional and benchmark performance evaluation cannot be carried out on a plurality of automatic driving agents in the prior art is solved.

This invention belongs to the field of corrosion information technology and relates to a corrosion data and control platform. The corrosion data and control platform designed in this invention includes a corrosion big data management module, a risk assessment module, a corrosion prediction module, an overall corrosion control module, and a system management module. The corrosion big data management module is used to connect the data interface of the corrosion business system; the risk assessment module is used to calculate risk assessment values ​​based on the operating data of the site and pipeline; the corrosion prediction module is used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction model and the wall thickness prediction model; the overall corrosion control module is used to realize the input or update management of corrosion control information; and the system management module is used to manage the corrosion data and control platform. This platform automates data acquisition, structuring various types of corrosion data, such as site basic data, corrosion failure data, and indoor laboratory data, into a database for centralized and unified management.

The invention provides an offshore small target detection method and system based on low-altitude remote sensing image enhancement, and relates to the technical field of target detection. Obtaining spectrum features of the to-be-detected low-altitude remote sensing image, and quantifying a rain potential feature value and a haze feature value based on a shielding mask; comparing the rain vigor characteristic value with a rain vigor threshold value, and if the rain vigor characteristic value is greater than the rain vigor threshold value, triggering rain removal processing: through a multi-scale Transform network, in combination with implicit neural representation, learning rain degradation characteristics and carrying out cross-scale characteristic interaction, and removing rain stripe interference to obtain a rain removal image; comparing the haze feature value with a haze threshold value, and if the haze feature value is greater than the haze threshold value, triggering defogging processing: filtering low-frequency haze information through a histogram self-attention mechanism and retaining high-frequency image details to obtain a defogged image; and inputting the processed image into a small target detection model, and identifying and obtaining an offshore tiny target detection result, thereby effectively solving the problem of insufficient detection robustness caused by low-altitude remote sensing image degradation.

This invention discloses a method and system for industrial carbon reduction path planning based on an evaluation matrix, belonging to the field of intelligent industrial process technology. The method first fuses multi-source industrial data in real time through an edge gateway, dynamically generating virtual carbon flow triples based on a material and energy balance model to construct a dynamic carbon flow topology network. Then, graph wavelet transform is applied to extract multi-scale spatiotemporal carbon potential features from the network and organizes and compresses them into a two-dimensional carbon potential evaluation matrix. Next, a structured set of carbon reduction operators is generated through matching with an expert rule base. Then, an improved multi-objective evolutionary algorithm incorporating carbon potential feature similarity constraints is used to optimize the operators, balancing emission reduction, economic benefits, and execution costs, outputting a Pareto optimal path scheme. Finally, the scheme is converted into control commands and executed via the OPC UA protocol, achieving intelligent triggering based on real-time matrix monitoring. This invention achieves intelligent and precise control and continuous optimization of industrial carbon emissions throughout the entire process.

This application discloses a method, apparatus, equipment, medium, and product for evaluating the effectiveness of transportation and tourism services, relating to the field of intelligent transportation technology. The method includes: acquiring data on first transportation stations, first tourist attractions, and first road network in a target area under a first scenario, and data on second transportation stations, second tourist attractions, and second road network in a second scenario; determining the number of first transportation stations, the proportion of first transfer stations, and a first accessibility index based on the data under the first scenario, and determining the number of second transportation stations, the proportion of second transfer stations, and a second accessibility index based on the data under the second scenario; and determining the effectiveness evaluation result based on the number of first transportation stations, the proportion of first transfer stations, the number of second transportation stations, the proportion of second transfer stations, the first accessibility index, and the second accessibility index. This method can achieve accurate evaluation of the effectiveness of transportation and tourism services.

This application belongs to the field of sedimentary basin analysis technology, and relates to a method and system for characterizing magma underplating uplift based on seismic data. The method includes: acquiring drilling and logging data and seismic data volumes of the study area; extracting seismic profiles from the seismic data volumes; interpreting anomalous and non-anomalous seismic data volumes on the seismic profiles; constructing a first trend surface based on the anomalous seismic data volumes and a second trend surface based on the non-anomalous seismic data volumes; calculating the uplift caused by magma underplating based on the first and second trend surfaces; and quantitatively characterizing the degree of magma underplating uplift based on the uplift caused by magma underplating. The technical solution of this application, by constructing two mathematical surfaces representing the actual morphology and the regional background trend respectively and performing spatial difference calculations, achieves a fundamental shift from qualitative description to objective quantitative characterization of magma underplating uplift, providing accurate and reliable technical support for deep basin process research and oil and gas exploration.

The invention provides an intelligent forest tree breeding method based on multi-modal data and a large model, and relates to the technical field of forest tree genetic breeding. The method comprises the steps of obtaining and integrating genotype data, phenotype data, multi-omics data and environment time sequence data of a target tree species, and performing preprocessing and feature fusion to form a multi-modal data set for analysis; on the basis of the multi-modal data set, key genes or gene modules for regulating and controlling target characters are mined by adopting a genotype-environment interaction algorithm and multi-omics coupling analysis; constructing a dynamic model fusing genotypes, environmental factors and time dimensions, and predicting breeding values of individuals or combinations on a whole genome level based on mined key genes or gene module information; and based on a prediction result, performing multi-objective optimization and intelligent screening at three levels of parents, combinations and offspring, and outputting a breeding decision scheme. According to the method, a complete, efficient and accurate forest tree intelligent breeding solution is formed.