18 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 provides a pollution site multi-source heterogeneous data intelligent analysis and standardization system based on deep learning. The pollution site multi-source heterogeneous data intelligent analysis and standardization system comprises a site survey report intelligent analyzer, a risk assessment data structured processing unit, a national and local technical guide rule dynamic access module, a historical restoration case database and a data integration and quality control module. According to the system, a modular micro-service architecture is adopted, and automatic processing and standardization of heterogeneous data of a polluted site are realized by integrating a deep learning document understanding model, a multi-modal information extraction technology, a standardized risk characterization algorithm and a graph database storage architecture. The problems of low efficiency, non-uniform standard, high manual processing error rate, data islanding and the like in existing pollution site data processing are solved, the data analysis efficiency is improved by 5.8 times, the key information extraction F1 value reaches 0.85, the error rate is reduced by 75%, and a high-quality and standardized data basis is provided for pollution site restoration decision making.

The invention discloses a security risk management standardization system, and relates to the field of information security. Wherein the security risk management standardization system comprises an identity verification module and an information auditing module; the identity authentication module is used for receiving identity information and to-be-audited text information from the client, determining a text input feature of the to-be-audited text information, determining whether the text input feature is matched with a preset feature verification feature corresponding to the identity information, and when the text input feature is matched with the preset feature verification feature, sending the to-be-audited text information to the client; sending the to-be-audited text information to an information auditing module; and the information auditing module is used for sending the to-be-audited text information to a far-end upper computer, receiving an auditing result of the to-be-audited text information from the upper computer, and sending the auditing result to the client. According to the system, the safety of an electrolytic aluminum enterprise during data auditing and approving can be remarkably enhanced.

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 invention relates to the technical field of electrical digital data processing, and discloses a smart city network flow monitoring method based on a decision tree model, which comprises the steps of data collection, data preprocessing, decision tree model construction, model evaluation, flow monitoring and prediction, optimization and feedback, and the data preprocessing comprises the steps of removing repeated and invalid data and filling missing values. The integrity and accuracy of the data are ensured; through the setting of the data preprocessing operation, the data can be preprocessed, the accuracy of data analysis is improved, the accuracy of network flow monitoring and management decisions is ensured, the situation that the difficulty of data processing, analysis and calculation is increased and the processing time is prolonged due to complex original data is avoided, and the requirement of real-time monitoring can be met; therefore, the timeliness of network response is improved, and the problem that in a traditional method, data are not cleaned and standardized, a system cannot effectively recognize abnormal flow, and report missing or false report is caused is solved.

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 invention relates to the technical field of biomedical detection, and discloses a solid tumor driving gene detection reading standardization system and kit for cold light enzyme. Comprises: a multi-source data acquisition module configured to acquire cold light enzyme detection data of a plurality of detection platforms; the control module is configured to construct a standardized model based on the large-scale multi-center cooperation data set and process the cold light enzyme detection data by using the standardized model, and comprises the following steps: calling a corresponding standardized sub-model according to sample type information and detection platform parameters corresponding to the cold light enzyme detection data, converting an original fluorescence signal value of the microplate reader into a standardized reading for generating a corrected detection result; and through consistency verification of cross-platform detection data, deviation calibration of a multi-center data set and clinical result correlation analysis, dynamic verification and iterative optimization are carried out on the accuracy of the standardized model. Systematic compensation of detection heterogeneity is realized, and the blank in the field of multi-source data standardization processing is filled.

As advances in Internet communications including video and audio mediums continue to increase, the need to effectively and efficiently communicate media has also increased. Many of the platforms that are designed for the creation and communication of media content cannot ensure that the media content is accessible in the event of a problem, for example, with the recording process. Moreover, these platforms generally do not eliminate the need to record a complete session in its entirety prior to uploading or using that content. Introduced here is an approach to content recording that involves two computer programs. A first computer program executing on a first device can segment media into chunks as the media is being recorded and then transmit those chunks, one by one, to a second device. A second computer program executing on the second device can then reconstruct the chunks in numbered sequence.

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 the field of digital twinning, and discloses an IT health degree analysis and evaluation method and system based on digital twinning, and the method comprises the steps: dividing standardized system data into system physical data and system driving data; identifying a data correlation coefficient of the system physical data, analyzing a functional structure of the IT system, and constructing a system physical model of the IT system; extracting system driving characteristics of the system driving data, analyzing a system driving rule of the IT system, and constructing a system driving model of the IT system; fusing the system physical model and the system driving model to obtain a system twinborn model, calculating a fusion coefficient of the system twinborn model, and adjusting model parameters of the system twinborn model to obtain an adjusted system twinborn model; and simulating operation of the IT system to obtain operation data, calculating a risk coefficient of the IT system, and constructing a health degree analysis report of the IT system. According to the invention, the analysis effect on the health degree of the IT system can be improved.

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.