15results about How to "Parsing fast" patented technology

This invention relates to the field of multi-source data processing technology, specifically disclosing a data governance method and system for multi-source heterogeneous data fusion. The method includes receiving unstructured data fed back by a data acquisition agent, performing virtual mapping on the unstructured data, recursively adjusting the access parameters corresponding to the data source node, and generating simulation data based on the virtual mapping when a data source node experiences a data upload anomaly. It also includes receiving data increment density and data hotspot distribution fed back by the data acquisition agent, planning the scheduling path of the unstructured data parsing end based on the data hotspot distribution, and receiving the parsing results fed back by the parsing end. This invention acquires unstructured data by deploying edge nodes, identifies the unstructured data, constructs a data domain model, synchronously determines the data state of the unstructured data, marks hotspot areas in the data domain model, and then determines the parsing order, enabling important data to be parsed faster.

The invention provides a battery power consumption lightweight analysis device, a lightweight log generation device, a battery power consumption lightweight analysis method, a lightweight log generation method, electronic equipment and a computer program product. The battery power consumption lightweight analysis device comprises: a system configuration analysis module for analyzing a system configuration file of a target electronic device to obtain system attribute feature data; the battery statistical data acquisition and analysis module acquires a battery statistical data packet and analyzes the battery statistical data packet to determine battery characteristic data; the lightweight log generation module carries out packaging processing on the system attribute characteristic data and the battery characteristic data to generate a lightweight log file; the log data reading and analyzing module reads the lightweight log file and analyzes the lightweight log file to extract attribute feature data and battery feature data; and the battery power consumption analysis module is used for analyzing the battery power consumption of the target electronic equipment according to the attribute characteristic data and the battery characteristic data to generate a power consumption analysis result.

The invention relates to an electronic certificate file detection method, and belongs to the field of data processing. Comprising the following steps: configuring a certificate file detection standard; rapidly detecting the OFD format; extracting OFD file information, and constructing an information association relationship: analyzing the license file based on a standard, realizing automatic extraction of an electronic license OFD file directory structure and an XML node relationship, and constructing an OFD analysis engine; oFD file information detection: carrying out OFD file information verification based on a certificate file detection standard configured by a user, an OFD file information extraction result and certificate information in an electronic certificate library; oFD file layout detection: detecting the layout of the certificate file based on a certificate file detection standard configured by a user and an OFD file information extraction result; detecting signature information; and visual feedback is realized. The OFD file internal data verification blank is filled, an OFD format detection framework is constructed, the tampering recognition rate is high, and the efficiency is high.

This application discloses a message parsing method, an electronic device, and a readable storage medium. The message parsing method includes: obtaining the remaining parsing length of the message to be parsed; if it is detected that the header length of the message to be parsed is less than the remaining parsing length, obtaining the data parsing parameters of the buffer segment where the current cursor of the message to be parsed is located; parsing the target data of the buffer segment where the current cursor is located according to the data parsing parameters, and parsing the message to be parsed by moving the current cursor within the message to be parsed to obtain the message parsing result. This application solves the technical problem of low parsing efficiency in message parsing.

The invention discloses a data file import method and device, a program product and electronic equipment, and relates to the field of financial science and technology or other related fields, and the import method comprises the steps of obtaining an application file of a target application, processing the application file to obtain a plurality of texts, creating a data job for each text, and creating a data job for each text; and asynchronously executing the data operation by adopting the distributed nodes, and importing the text into a preset data table in a preset database. According to the method and the device, the technical problem that the speed of importing the data file is relatively low in the prior art is solved.

This invention discloses a hierarchical guanidine resin-based CO2 adsorbent material and its preparation method, belonging to the field of polymer synthesis technology. The adsorbent material prepared by this invention has a composite spherical structure and a hierarchical pore structure, including micropores, mesopores, and macropores. By introducing a hierarchical pore structure, the adsorption capacity of the material for CO2 is effectively improved. The introduction of hierarchical pores can significantly reduce molecular diffusion resistance and increase the contact area between the adsorbent and CO2 molecules, thereby achieving rapid adsorption. Furthermore, pyridyl, polyamino compounds, and guanidine groups have strong basicity and chemical affinity for CO2. Through surface functionalization modification, the number of active sites on the material surface is significantly increased, thereby further improving the CO2 adsorption capacity and selectivity.

The application discloses a traffic supervision system and method based on AI technology, which comprises a data acquisition module, a pretreatment module, a comparative analysis model, a data control module, and the comparative analysis model further comprises a data analysis unit and a data processing unit, and relates to the technical field of traffic supervision. The traffic supervision system and method based on AI technology acquire monitoring images on a specified road through a monitoring camera, then analyze and process the monitoring images to obtain a congestion distance of vehicles on a corresponding analysis lane, combine the congestion distance interval preset in a control list, then reset the passing time of a road intersection, effectively optimize the road condition, and improve the vehicle passing speed; meanwhile, the panoramic images on the specified road are acquired in a multi-point acquisition and collection and summary mode, the accuracy of road data acquisition is improved, the acquisition speed of analysis results is improved, the passing time of the road intersection is conveniently set in advance, and good real-time performance is achieved.

The invention provides an instruction analysis and assembly method and device. The method comprises the steps that a static instruction template corresponding to an instruction type is determined, the static instruction template is a constant array, elements of the static instruction template are arranged according to the declaration sequence of members in a structural body corresponding to the instruction type, and each element comprises the byte offset position of the member in the structural body and a data type identifier; based on a static instruction template corresponding to the instruction type, filling data in the instruction frame into a structural body corresponding to the instruction type according to the byte offset position and the data type of each member; and based on a static instruction template corresponding to the instruction type, splicing data corresponding to each member in a structural body corresponding to the instruction type according to the byte length corresponding to the data type of the member and the byte offset position of the member to obtain a byte array, and packaging the byte array according to an instruction frame format. According to the method provided by the invention, the accuracy and efficiency of instruction analysis and assembly are improved.

The application provides a data transmission method and system for virtual scene generation, comprising the following steps: two data modes are used to realize data request and real-time push of a client and a back end in parallel; scene data information is requested, and the scene data information is stored into a program instance; a virtual entity corresponding to an actual business device is generated, and the virtual device is updated in real time; the state of each virtual entity is updated according to the scene data information; a transparent browser container is created to display a web page; a UI control module completes UI interaction and display through event driving according to user operation. The application has the beneficial effects that the data transmission speed is accelerated, the response speed and real-time performance of the system are improved, different systems and data formats are compatible, data interaction and integration are facilitated, received data is quickly parsed and processed, and the data processing capacity and efficiency of the digital twin system are improved.

This invention relates to the field of online detection and condition monitoring technology for power system switchgear, and discloses a method for accurately measuring the opening and closing time of disconnecting switches. By synchronously collecting voltage data on both sides of the disconnecting switch to construct a voltage difference sequence, the action interval is extracted through differential and sliding window energy analysis. Within this interval, differential features are used to determine the action index and convert it into the action time. The average voltage difference before and after the action time is calculated to determine the action type. The stability of the action time is evaluated by combining a reference action time and statistical analysis of multiple measurement deviations. Simultaneously, key data from the entire process are compiled into an identifiable dataset. Through these steps, the measurement of the opening and closing behavior and action time of disconnecting switches is achieved, overcoming the problems of asynchronous single-sided sampling or mechanical triggering, poor reliability of threshold and zero-crossing detection, and difficulty in quantifying time stability, thus providing an improved means for disconnecting switch condition assessment without adding complex hardware.

The present application relates to the technical field of pollution tracing, and specifically discloses a water pollution tracing method combining three-dimensional fluorescence and isotope tracing. The method comprises the following steps: collecting water samples in a river basin for three-dimensional fluorescence scanning, constructing a fluorescence spectrum dataset through component screening; performing fluorescence intensity and index analysis on the dataset to obtain the dynamic change trajectory of pollutants and the node response relationship; splitting the pollution logic stage based on the trajectory and response relationship, extracting the functional boundary and node dominant attribute; determining the unbalanced dominant object through input-output balance analysis, analyzing the competition and inhibition relationship of different unbalanced dominant objects when multiple source nodes coexist, and outputting the type. Through the synergistic combination of three-dimensional fluorescence and isotope tracing, combined with node attribute identification and competition and inhibition analysis, the present application realizes the analysis of pollution sources, migration paths and component competition relationships.

The invention discloses a flight test data management system based on a time sequence database, aims to meet management and maintenance requirements of multi-source and multi-type massive high-radix data in a flight test process, and belongs to the field of data management and application of control systems. The flight test data management system comprises a data preprocessing module, a data display and report generation module, a data display module and a database module; the data preprocessing module is used for performing analysis conversion, data interpretation and pre-calculation on the received data; the data display and report generation module is used for performing real-time processing, query, playback, report generation, data frame export, data interpretation and fault diagnosis on the received physical quantity; the data display module is used for displaying various test data physical quantities in different forms; and the database module adopts a time sequence database to realize classified storage management of flight test data, and provides data query and display functions.

The invention provides a VHF and IP voice converged communication method and device for a special ship. The method comprises the following steps: monitoring environment temperature and electromagnetic interference intensity in real time; a pre-stored antenna parameter compensation library is matched based on the environment temperature, and radio frequency front end transmission parameters are dynamically optimized; and performing multi-modal noise suppression on the received VHF audio signal, wherein the multi-modal noise suppression comprises the following steps of: generating a time-frequency mask based on electromagnetic interference intensity by adopting a complex convolution attention network to suppress electromagnetic interference; and converting the processed signal into an IP voice data packet, and reversely converting the IP voice data packet into a VHF signal through a protocol conversion engine to realize a bidirectional communication link. The voice communication quality and reliability in the polar region environment are improved, and the navigation safety is guaranteed.

The application relates to the field of printed circuits and discloses a PCB board drawing accelerated generation method, device, equipment and storage medium. The method comprises the following steps: receiving gerber drawing data; performing layer identification processing on the gerber drawing data based on a regular matching algorithm to obtain PCB design data corresponding to N layers; writing the PCB design data corresponding to the N layers into N Node.js scripts to obtain N drawing loading texts; performing average distribution processing on the N drawing loading texts based on the number of multithreads to obtain N drawing loading texts distributed by the multithreads; performing queue loading processing on the N drawing loading texts based on task sorting to obtain a basic PCB board drawing; performing open-circuit image detection and identification processing on the basic PCB board drawing to obtain an identification result; judging whether the identification result contains an open-circuit result; if yes, performing repair processing on the basic PCB board drawing according to an RFRNet model to obtain a PCB board drawing; and if not, determining that the basic PCB board drawing is a PCB board drawing.

The invention discloses an environmental pollutant quantitative source analytical model based on adaptive pollution source constraint and a modeling method and application thereof, and belongs to the technical field of environmental pollution source analysis. The modeling process of the model comprises the steps that pollution point location and concentration data are collected, an original data matrix M is obtained, then a pollution source constraint matrix is constructed, then the original data matrix is normalized, an initial solution is obtained through a multiplication updating algorithm, nonlinear programming is introduced into alternating least square iteration to achieve source constraint, and the pollution source constraint matrix is obtained. And then drawing a pollution source composition and contribution graph. According to the model, nonlinear programming and an alternating least square algorithm are combined through self-adaptive pollution source constraint, the matrix decomposition process is effectively constrained, and the reliability of an analysis result is greatly improved. In the process of identifying and quantitatively analyzing the source of the farmland pollutants in the mining area, the problem of source component spectrum distortion caused by data fitting deviation in the prior art is fundamentally solved, and the accuracy of an analysis result is greatly improved.