9results about How to "Realize dynamic analysis" patented technology

The application discloses a temperature compensation method based on thermal imaging of a machine tool ram, and relates to the technical field of machine tool thermal error compensation; the method comprises the following steps: installing a temperature measurement thermal imager and establishing a thermal distribution model, calculating thermal deformation amounts in three directions, obtaining a deformation correction error sequence, constructing a compensation error prediction model, determining an error compensation opportunity, and executing a progressive compensation strategy; two-dimensional temperature distribution data is obtained by the thermal imager, high-precision temperature distribution fields are generated by combining three-dimensional mapping technology, the theoretical deformation amounts in each direction are quantified based on an integral method, and dynamic analysis of multidimensional thermal deformation amounts is realized; meanwhile, an error correction amount is predicted in advance based on a time sequence prediction model of an LSTM network, combined with working condition parameters such as an environmental temperature and a spindle speed, active compensation is realized, a multi-condition triggering mechanism and a priority are set at the same time, and compensation at a suitable opportunity is ensured; a progressive compensation strategy avoids overcompensation or undercompensation, and a threshold alarm mechanism is combined to improve the robustness of the system.

The application relates to the technical field of emergency management, and discloses a multi-information fusion disaster accident emergency knowledge pushing method, which comprises the following steps: collecting multiple types of disaster related data and preprocessing, and constructing a unified emergency information dataset; inputting the dataset into a pre-constructed time-space-cause three-in-one state transition model to obtain disaster accident scenario evolution data; generating a unified scenario feature vector through a three-level fusion architecture; generating a candidate knowledge set through a thinking chain reasoning combined with an emergency knowledge graph and a pre-trained emergency large model; sorting the candidate knowledge in combination with a disaster scenario, a rescue task and a user role; and performing multi-terminal directional pushing. The application improves the scenario adaptability, multi-source information fusion efficiency and reasoning accuracy of emergency knowledge, realizes personalized pushing of the emergency knowledge, and provides scientific and efficient support for emergency rescue decision-making.

The application provides a kind of factory multi-device beat coordination control method and system, applied to data processing field, specifically specially applicable to the data processing of supervisory purpose;The application constructs beat sequence by real-time operating parameter of processing equipment, and further establishes multi-device beat coupling topological network, realizes the dynamic analysis of beat correlation and disturbance propagation process between multi-devices, compared with the local speed regulation mode of traditional single-device beat, can identify the propagation path and propagation trend of beat disturbance between multi-devices through beat fluctuation frequency, phase difference and buffer oscillation frequency etc. Beat oscillation characteristics, and accurately locate the source device of beat disturbance in combination with preset phase lead relationship, to avoid periodic amplification of beat fluctuation in production line.

This application discloses a method, apparatus, device, and storage medium for adapting the UI layout of an in-vehicle device, relating to the field of vehicle engineering and applied to a target in-vehicle device. The method includes: launching a target application to be adapted on the target in-vehicle device; using the target application to read a target configuration file locally on the target in-vehicle device and parsing the target configuration file to obtain the corresponding parsing results; the target configuration file is a JSON configuration file; adjusting the UI components of the target application based on the parsing results, and adapting the business logic corresponding to the adjusted layout based on the logical rules in the target configuration file to obtain the corresponding target layout; initiating a display request for the adapted layout using the target application; restarting the target application based on the request result to display the main activity interface of the target application based on the target layout. This application achieves efficient and flexible dynamic adaptation of UI and business logic across multiple platforms using a single codebase.

The invention discloses a method and system for predicting shale oil reservoir crustal stress and formation pressure, and the method comprises the steps: analyzing the geologic structure characteristics of a target region according to logging data and seismic data, thereby constructing a three-dimensional geologic structure model, then obtaining a stress field, formation pressure, rock mechanics parameters and reservoir physical property parameters of each single well in the target area, and forming a three-dimensional rock mechanics and physical property parameter attribute body in combination with the three-dimensional geologic structure model so as to construct a three-dimensional geomechanical model; constructing a finite element geologic structure model based on the three-dimensional geomechanical model, further constructing an attribute parameter field in combination with the parameter attribute body, and forming a coupling seepage physical field based on the attribute parameter field in combination with a preset boundary condition so as to establish a four-dimensional ground stress and formation pressure model; and performing seepage-stress coupling iterative calculation on the four-dimensional ground stress and formation pressure model to obtain a corresponding prediction result. The shale oil reservoir ground stress and formation pressure can be accurately predicted.

This invention discloses a lossless compression transmission method and system for narrowband channel data based on power protocols, belonging to the field of communication technology. The method includes: acquiring the original message from the power terminal; identifying the IEC 60870-5-101 / 104 protocol, stripping application layer protocol data units and extracting the core payload; constructing a dynamic mapping dictionary to map high-frequency protocol control information as short-byte indices; performing adaptive differential prediction based on recursive least squares on telemetry data to generate a differential residual sequence; performing adaptive arithmetic coding on the residual sequence to generate a compressed data stream; monitoring the length of the compressed data, and if it exceeds the narrowband channel payload limit, performing secondary fragmentation and adding a header containing sequence numbers and priority markers. This invention achieves high-rate lossless compression of power protocol data, effectively adapts to narrowband satellite channels, and significantly improves the reliability and situational awareness capabilities of power emergency communication in extreme environments.

The application relates to a planetary gearbox fault diagnosis algorithm automatic generation system and method based on a large language model, which comprises the following modules: a large language model generation module, which is used for receiving prompt words, selecting parent planetary gearbox fault diagnosis algorithm and architecture component knowledge, and combining with the characteristics of the planetary gearbox fault diagnosis task to call the large language model to generate new planetary gearbox fault diagnosis algorithm code; a dynamic code execution and verification module, which is used for code execution and verification; an architecture evaluator module, which is used for training and performance evaluation; an intelligent evolution strategy module, which is used for analyzing the training history and obtaining an analysis result; a program database module, which is used for storing and managing the population of the planetary gearbox fault diagnosis algorithm and constructing prompt words; and an evolution control engine, which is used for coordinating and controlling the work processes of the modules and controlling the number of iterative evolutions to realize evolution circulation. Compared with the prior art, the application has the advantages of automatic generation, iterative evolution and the like.

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.

This invention discloses a remote smart meter reading method and system, specifically relating to the field of smart meter reading. It addresses the problem that existing remote smart meter reading methods rely solely on address fields and frame verification for response confirmation, making it difficult to identify abnormal responses, equipment aging, and coupling loop drift in complex power line environments. By extracting the synchronization convergence fingerprint vector during carrier synchronization establishment and the current transient feature vector during response frame transmission, a dynamic correspondence between communication synchronization behavior and electrical transient behavior is constructed. Topology preservation comparison is performed on the current response pulse, and the trajectory is predicted based on the inferred current transient feature vector from historical meter reading records. A homogeneity determination result is generated by combining the trajectory deviation and transient topology preservation degree. Simultaneously, a dynamic coupling stability sequence is constructed to achieve stable uploading of remote smart meter reading results and anomaly identification, improving the automation level of meter reading management and user service experience.