11 results about "Normalized systems" patented technology

The embodiment of the invention provides a drive optimization method and system based on hardware state perception and a readable storage medium. The method comprises the steps that system data are collected, processed and stored, optimal adjustment instruction data are obtained according to standardized system data, verification processing is conducted through association mapping and execution adjustment, the program running state is monitored, and if the number of exceptions exceeds a preset threshold value, fault diagnosis is triggered, and a troubleshooting report is pushed. Performing interactive processing according to system standard parameters, updating bottom-layer codes and permission application logic and verification processes, updating mapping rules according to adjusted effect data, and optimizing a fault correlation analysis model; through hardware state perception and data acquisition, driving parameter dynamic matching and adjustment, fault intelligent diagnosis and report generation, cross-system version compatibility adaptation and data closed-loop optimization and rule iteration, balance between performance and resource consumption is realized, equipment operation stability and cruising ability are improved, and development and maintenance cost of a driving program is reduced.

The invention discloses an address standardization system and method based on a large model, and relates to the technical field of natural language processing, and the method comprises the steps: carrying out the entity standardization mapping of each field and the forward completion of a missing hierarchy through a dynamic cooperation mechanism according to a preliminary structured address result, and generating structured address data; performing format unification and field splicing according to the structured address subjected to address semantic analysis and dynamic collaboration mechanism reverse verification through the standardized address to generate a standardized result; and according to the standardization result, outputting a difference sample through an incremental learning mechanism, and storing the difference sample in an incremental learning queue to generate an address standardization processing result. According to the method, the original unstructured address text is converted into the preliminary structured address result by adopting address semantic analysis, so that accurate extraction and complementation of different address elements are realized, the integrity and consistency of address data are effectively improved, and various complex address scenes can be processed.

The invention discloses a system information intelligent acquisition method based on cooperation of a multi-modal large model and a large language model, and relates to the field of fault tree analysis. In the prior art, the efficiency of obtaining the topological structure and fault knowledge of a system is low, the accuracy is insufficient, and the cross-modal cooperative processing capability is lacked, the invention provides the following scheme: obtaining and preprocessing a system flow chart, and generating high-quality input data through functional decoupling and physical boundary decomposition; carrying out symbol recognition and text extraction to obtain preliminary topological information; forming a standardized system information file through a regular expression; inputting the file into a large language model to obtain a fault information set containing a fault mode and traceability information; integrating the topology file and the fault information to form system information data; and after consistency and integrity verification, outputting a standardized file which can be directly used for fault tree analysis and reliability evaluation. The method is suitable for system topology construction, fault tree analysis and safety and reliability evaluation work of a complex industrial system.

The invention relates to the field of engineering safety monitoring, and discloses a standard value and actual value double-control-based deformation monitoring data analysis system, which comprises a data processing module, a data storage module, a precision evaluation module and a displacement analysis module, the data processing module is used for acquiring original observation data of each monitoring point and carrying out adjustment calculation on the original observation data to obtain a current-period processing value; the data storage module obtains a current-period processing value, stores the current-period processing value as a historical processing value, and pre-stores an error threshold value; the precision evaluation module executes single-period precision qualification verification, judges the validity of a current-period processing value or a historical processing value, and generates a validity instruction; and the displacement analysis module responds to the validity instruction and analyzes the deformation state of each monitoring point. According to the technical scheme, an analysis method independent of personal experience can be realized, the analysis method is materialized into a reproducible and generalizable standardized system product, and the dependence on high-level technicians is reduced.

The present application relates to the field of engineering safety monitoring, and discloses a deformation monitoring data analysis system based on specification value and actual value double control, comprising a data processing module, a data storage module, an accuracy evaluation module and a displacement analysis module; the data processing module is used for obtaining original observation data of each monitoring point, performing adjustment calculation on the original observation data, and obtaining a current processing value; the data storage module obtains the current processing value, stores the current processing value as a historical processing value, and pre-stores an error threshold; the accuracy evaluation module performs single-period accuracy qualification verification, judges the validity of the current processing value or the historical processing value, and generates a validity instruction; the displacement analysis module responds to the validity instruction and analyzes the deformation state of each monitoring point. According to the above technical scheme, an analysis method independent of personal experience can be realized, and a standardized system product that can be replicated and popularized is materialized, thereby reducing the dependence on high-level technical personnel.

The invention relates to the technical field of financial data processing, and discloses a financial product information structured data extraction method and a data subject standardization system. A data acquisition module of the system obtains original information from a plurality of financial data sources and analyzes the original information to obtain structured data fragments; the feature extraction module collects key features based on the structured data fragments to obtain financial attribute features and subject coding features; the data processing module performs standardized learning on the features through the structured data fragments to generate a standard subject mapping array; the subject standardization module is combined with a standard subject system and a standard subject mapping array to control a subject matching process of a data standardization engine; the adjusting module collects context parameters of the data fragments to determine a dynamic subject deviation value, and corrects the matching direction of the data standardization engine. According to the system, efficient extraction and accurate standardization of multi-source financial product information can be realized, data processing standardization and accuracy are improved, and data application requirements of the financial industry are met.

This invention relates to a standardized system for the first section of a ship lock intake gate, comprising an intake gate wall and a gate head structure. The intake gate wall includes a maintenance gate slot (1) and a water conveyance channel (2). The gate head structure includes a gate head side pier (5) and a base plate (6). The maintenance gate slot (1) is located in the intake section. The intake section of the water conveyance channel (2) is equipped with a trash rack slot (3). The gate head side pier (5) is equipped with a gate head side pier empty box (7). This invention solves the maintenance problem of the intake gate wall, saves the amount of concrete used in the gate wall, and improves the safety and reliability of the intake gate wall during operation and maintenance. This standardized system for the first section of a ship lock intake gate provides a standardized basis for subsequent ship lock design, improves design efficiency, and lays the foundation for promoting the application of high-tech technologies such as digital twin technology, digitalization of the ship lock industry, and 3D printing.

The invention relates to the technical field of data processing and matching, in particular to a ship name standardization system and method based on a large model and multistage fault-tolerant matching. The method comprises the following steps: firstly, receiving a natural language text through a data acquisition module, extracting an original ship name character string by utilizing a large model, and associating the original ship name character string with a basic data dictionary through an entity standardization service module by adopting a multi-stage matching algorithm; a result processing module calculates a confidence score of a matching result to obtain standardized ship name output; according to the system, the ship name dictionary is maintained through the dynamic dictionary updating module, cross validation is carried out by using the multi-modal verification module in combination with the ship image recognition result and the AIS trajectory data, finally, the accurate standardized ship name is obtained, and the ship name recognition and matching precision and efficiency are improved.

The application discloses a feature-driven point cloud completion method and system for a CAD parameterized model, relates to the technical field of three-dimensional geometry processing and computer vision, and comprises the following steps: constructing a multi-source feature line collection and standardization system, obtaining feature line candidates through multiple paths such as analysis of CAD information, mesh point cloud geometric clues and interactive editing rules, and outputting a unified format feature representation after consistency evaluation, cleaning and repairing; designing a local feature extraction method based on adaptive weights of multiple relationships, dynamically adjusting weights according to the relationship between target points and neighbor points in three-dimensional space and high-dimensional feature space in a DGCNN framework, and quantifying the contribution of each neighbor point to the local feature of the target point; and proposing a feature line deep information injection technology, fusing feature line geometric information into a point cloud completion deep learning model through an encoder, using a feature line weighted chamfer distance loss function to strengthen the fidelity of boundary and acute angle regions, and effectively improving the accuracy and geometric detail retention capability of point cloud completion.

This invention discloses a method and system for completing sensitive data flow paths in power information networks. The method includes: estimating the power system state using weighted least squares based on acquired power information network operation data to obtain a standardized system state vector; constructing a power information network graph based on the standardized system state vector and acquired power information network topology data; and completing paths using a trained topology-enhanced dynamic perception graph neural network model based on the power information network graph to obtain a completed power information network graph. This invention solves the problem of insufficient global topology perception in existing methods. Furthermore, through end-to-end link prediction task design, it significantly improves the accuracy and topology rationality of path completion, providing more reliable technical support for the secure operation and maintenance of power information networks.

The invention relates to a city update project evaluation method, electronic equipment and a storage medium, and the method comprises the steps: obtaining project data corresponding to a plurality of city update projects of a target city, the project data corresponding to any city update project comprises multi-source data before the implementation of the city update project and multi-source data after the implementation of the city update project; according to the project data corresponding to each of the plurality of city update projects, determining multi-dimensional evaluation results before and after each implementation of the plurality of city update projects from a plurality of evaluation dimensions, the plurality of evaluation dimensions including scale development intensity, job-housing population features, service function features, project vitality and popularity, and social perception evaluation; and determining project effect evaluation results of the plurality of city update projects according to the multi-dimensional evaluation results before and after respective implementation of the plurality of city update projects. Therefore, the implementation effect of the city updating project can be comprehensively evaluated from multiple evaluation dimensions in a standardized and systematic manner.