53results about How to "Implement parsing" patented technology

The invention discloses an SCL field safety accident analysis and early warning method and system, a medium and a program product, and the method comprises the steps: carrying out the distributed cleaning and feature extraction of multi-source heterogeneous monitoring data, and obtaining a multi-dimensional time sequence feature flow; constructing a dynamic association network of a security state; identifying a key influence factor chain, and establishing a semantic analysis model; constructing a safety threshold system; evaluating the multi-dimensional time sequence characteristic flow by using a safety threshold system; when the multi-dimensional time sequence characteristic flow triggers early warning, performing tracing analysis by using a semantic analysis model to obtain a root event triggering the early warning, and simulating the development trend of the root event based on a preset evolution model; determining a predicted risk range and a risk type according to the tracing cause analysis result and the accident development trend; and the corresponding accident early warning scheme is matched in the preset database according to the risk range and the risk type, and the accident early warning scheme is sent to the monitoring terminal, so that the accuracy of judgment and classified early warning of different types of safety accidents is improved.

The invention discloses a geographic information surveying and mapping data processing method based on image analysis, and relates to the technical field of remote sensing image processing, and the method comprises the steps: collecting a multi-angle satellite remote sensing image, and dividing the multi-angle satellite remote sensing image into a plurality of image blocks according to a geographic coordinate system; extracting topographic feature parameters of the image blocks, and establishing feature vectors of the topographic feature parameters; according to the feature vectors, establishing a ground feature classification model to perform ground feature classification on the image blocks to obtain ground feature classification labels; constructing a three-dimensional geographic information model according to the ground feature classification labels and the topographic feature parameters, and marking ground feature boundary points; and generating surveying and mapping data based on the three-dimensional geographic information model and the surface feature boundary points. According to the method, the improved three-dimensional geographic information modeling algorithm is adopted, the ground feature boundary points are precisely marked, and the problems of high ground feature classification difficulty, fuzzy boundary recognition, poor model training stability and the like in the complex terrain are effectively solved.

The invention discloses a medium-wave infrared pixel-level spectral polarization optical system, which belongs to the field of lenses and comprises a refraction lens group, a cold diaphragm, a super-structure micro-lens array and a medium-wave infrared quantum dot detector which are sequentially arranged along an incident light path, the super-structure micro-lens array comprises an object side micro-structure and an image side micro-structure; the image side microstructure is used for realizing focusing; the object side microstructure comprises a plurality of object side units which are periodically distributed; each object side unit comprises a polarization metal wire grating structure and a plurality of metasurface-microcavity structures; the polarization metal wire grating structure is formed by arranging metal wire gratings according to different directions so as to realize detection of different orthogonal polarization states; the metasurface-microcavity structure comprises a middle dielectric layer, distributed Bragg gratings located on the two sides of the middle dielectric layer and a metasurface columnar structure unit array embedded into the middle dielectric layer, and the metasurface columnar structure unit array is used for achieving filtering of light of different wave bands. The system has the advantages of good imaging quality, small size, real-time imaging and the like.

The invention discloses an electric power engineering technical-economic review method based on deep learning. The method comprises the following steps: S1, automatically capturing project data such as engineering quantity, an equipment list and material cost, and carrying out preliminary detection; s2, analyzing data by using a deep learning model, and analyzing and classifying text information through natural language processing; s3, establishing a charging benchmark rule base, and automatically checking the cost data in the technical and economic files; s4, adopting a self-adaptive material semantic matching algorithm to examine equipment and material data, and carrying out market information price matching; s5, constructing a mapping relation between the project amount and the typical cost, and generating a deviation report; s6, establishing a data center to support multi-dimensional statistical analysis and a real-time cost report; and S7, combining historical and real-time data, performing early warning through a deep learning algorithm, and generating an intelligent review report. According to the invention, automation and intellectualization of electric power engineering technical-economic review are realized, and data processing efficiency and review accuracy are optimized.

The present invention provides a debt collection device based on an intelligent mobile terminal, which belongs to the field of mobile communication technology, and specifically comprises: a speech-to-text conversion module is responsible for acquiring the conversation voice of a debt collector in real time and converting it into speech-to-text; a sensitive word recognition module is responsible for constructing a text record of the debt collector based on speech-to-text, communication records of instant messaging software, and text message records, and performing sensitive word recognition; a compliance evaluation module is responsible for evaluating the compliance of the debt collector; a communication frequency determination module is responsible for determining the communication frequency between the debt collector and the debtor; a repayment willingness determination module is responsible for obtaining the debtor's repayment willingness based on the number of positive keywords, the number of collection times, the weight of the positive keywords, and the debtor's repayment willingness; a result output module is responsible for warning the debt collector or suspending the collection process according to the compliance and determining the debtor's collection frequency according to the debtor's repayment willingness, thereby further reducing the compliance risk in the collection and the pertinence and efficiency of the collection.

The invention provides a serialization method and deserialization method of a data object and electronic equipment, and relates to the technical field of cloud computing, the method comprises the following steps: before a data sender sends the data object under a micro-service framework, if metadata of the data object is sent to a data receiver, the metadata of the data object is sent to the data receiver; if yes, serializing the unique identifier of the metadata and the value of the field to be sent of the data object to obtain serialized data; and sending the serialized data to a data receiver, carrying out deserialization processing on the serialized data by the data receiver, and associating the value of the currently received field to cached metadata based on the currently received unique identifier and the previously cached unique identifier. In the embodiment, the performance overhead of serialization and deserialization of the metadata is reduced, performance optimization is realized, and the throughput of a micro-service application is further improved.

The invention provides a data processing system, a data processing method and a core particle, and the data processing system comprises a data storage module which carries out the data width conversion of input sideband data, and stores the sideband data in the data storage module in the form of a sideband data packet; and the data analysis module is used for receiving the sideband data packet output by the data storage module, and sending the sideband data packet to an output interface according to the content of the sideband data packet, or completing the access of a local register according to the content of the sideband data packet. According to the data processing system, the data processing method and the core particle provided by the invention, a universal transmission method is provided for data in a universal core particle interconnection technology protocol.

The invention relates to an intelligent product recommendation method and system based on a large model. The method comprises the steps of obtaining user information of a user to be recommended and product information of a product to be recommended; extracting user semantic features, user behavior features and natural language understanding features of the user information and product description features and product category features of the product information by using the large model, and performing feature fusion to obtain fused features; and obtaining a target recommendation score of each product relative to the to-be-recommended user, and recommending the product corresponding to the target recommendation score higher than a preset score to the to-be-recommended user as a target product. According to the method, the Transform model, the GNN model and the LLM model are combined, analysis and feature fusion of the user information and the product information are achieved, the extraction precision of the user semantic features and the product description features is improved, the user behavior features and the product category features can be effectively captured, and therefore the recommendation accuracy and the personalized level are improved.

The invention discloses a cross-system communication method and device, and the method comprises the steps: obtaining first communication data, packaging the first communication data based on a first communication protocol of a first data packaging layer, and obtaining first communication protocol data; packaging the first communication protocol data based on a second communication protocol of a second data packaging layer to obtain second communication protocol data; transmitting the second communication protocol data to a data communication layer of the target communication system, so that a second communication protocol of a second data encapsulation layer of the target communication system de-encapsulates the second communication protocol data to obtain first format data consistent with the first communication protocol data; and decapsulating the first format data by using a first communication protocol of a first data encapsulation layer of the target communication system to obtain second communication data consistent with the first communication data. According to the invention, the difficulty of cross-system interaction and communication is reduced, and the development cost and maintenance difficulty of the vehicle-mounted system are reduced.

The invention provides an intelligent dialogue method and system, and belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining local feedback data based on question key data and a local knowledge base; wherein the question key data is obtained by analyzing the captured question information; performing network retrieval according to the question key data to obtain network feedback data; when it is determined that a similarity test result between the local feedback data and the network feedback data meets a preset condition, question answer data is generated based on the local feedback data and the network feedback data; and inputting the question answer data into the large language model for adjustment to obtain feedback information for answering the question information. Therefore, when the large language model is applied to some special industry fields, the data security of the local knowledge base can be fully ensured, the situation of confidential information leakage is avoided, and the purpose of analyzing and processing user problems in some special industry fields is achieved.

The invention discloses an industrial control private protocol vulnerability mining method based on protocol analysis. The method comprises the steps of 1, preprocessing industrial control protocol flow data; and 2, analyzing the target protocol by using the byte change characteristics and the heuristic rule. And 3, generating a test case of the target protocol by using the analysis specification. And 4, reconstructing a protocol state machine by using the state conversion track of the flow, and guiding the protocol to reach a target state for testing. And 5, tracking the state of the detected target and monitoring and positioning the triggered vulnerability through a network. According to the method, the analysis accuracy of the private protocol specification can be effectively improved, the test case acceptance rate, the test target anomaly rate and the state coverage rate in the fuzzy test process are remarkably improved, and meanwhile, more protocol states can be efficiently tested under the condition of the same number of test cases so as to mine more potential vulnerabilities in the protocol.

This disclosure relates to a method, apparatus, device, medium, and vehicle for dynamic publishing and subscription of a DDS (Dynamic Distribution System). It is characterized by comprising: providing resources required to build a DDS entity; generating a unified interface dynamic library for the DDS entity based on the resources required by the DDS entity; during recording services, calling the unified interface dynamic library of the DDS entity by obtaining the topic name required for the recording service to achieve dynamic subscription; and / or during playback services, calling the unified interface dynamic library of the DDS entity by obtaining the topic name required for the playback service to achieve dynamic publishing. This disclosure addresses the shortcomings of dynamic publishing / subscription by providing a unified interface dynamic library without the user's awareness, achieving the same functionality using the same configuration file as dynamic publishing / subscription.

The present application discloses a ParaX file parsing method, system, device and computer storage medium for implementing file parsing of ParaX files. The present application method includes: loading a ParaX file; identifying a target parser matching the ParaX file, calling the target parser to read the file header and file body of the ParaX file; parsing the file header, and judging whether the ParaX file is legal according to the parsing result; when it is determined that the ParaX file is legal, extracting a first target parameter from the parsing result; and parsing the file body according to the first target parameter.

The application provides an air traffic control primary radar signal processing automatic test method and system, relates to the radar test field, and solves the technical problems of fragmentation of the prior art process, single evaluation dimension and poor traceability. The method specifically comprises: obtaining radar test data and structured test configuration; recursively analyzing the test configuration to generate an instruction set; loading data and executing signal replay according to the instructions to drive the software; synchronously collecting video data and processing results of each stage to form a multi-dimensional feature sequence; correlating and analyzing the two and extracting features to generate a holographic feature vector sequence; progressively comparing the sequence with a baseline determination model in layers to obtain a test determination result; integrating test item identifiers, video data, multi-dimensional feature sequences, holographic feature vector sequences and test determination results to record and generate a final test log report. An end-to-end automatic, multi-dimensional deep analysis and full-link evidence tracing radar automatic test method is realized.

Provided in the present text is an information processing method, device, equipment, medium and program product, relating to the computer art field. The method comprises: obtaining first information, the first information being used to represent information of a first subject, the first subject being created based on a first task; obtaining second information, the second information being provided by a first intelligent system and used to represent first response content of the first information, the first response content being obtained based on task data of the first task, the first intelligent system being determined based on an analysis result of a second intelligent system on an instruction, the instruction being used to indicate processing requirements of the first information; and displaying the second information. The problem that the first information is processed by the intelligent system specified by the user and responded to only through triggering the wake-up mode in the related art is solved, and the effect that the first information is automatically analyzed based on the intelligent system in a long-term collaboration task and responded to is achieved.

The present invention discloses a multi-system multi-carrier adaptive demodulation device and demodulation method, and relates to the field of satellite communication. The present invention includes a multi-system multi-carrier sampling module, a multi-system multi-carrier branching module, a multi-system matching carrier module, a multi-system parameter processing module and a multi-system demodulation module; based on the channelization technology, non-uniform multi-carrier demodulation is realized, and for the application requirements of large-differentiated user stations working in the same network, a multi-carrier demodulation method with multiple carrier rates and multiple transmission systems within a large processing bandwidth is realized, which can greatly reduce the number of equipment; multi-system adaptive multi-carrier demodulation is realized through signaling-assisted and distributed adjustable modular methods, which is particularly suitable for TDMA, FDMA, and CDMA multiple access methods.

This invention discloses a PCIe switch with multiple non-transparent bridge ports, including non-transparent bridge ports and a main control module. The non-transparent bridge ports are used to parse PCIe data packets and set interrupt states according to feedback from the main control module. The main control module is communicatively connected to the non-transparent bridge ports and includes a doorbell register and / or temporary register for the non-transparent bridge ports to monitor the resource occupancy status of the non-transparent bridge ports, thereby effectively avoiding conflicts caused by multiple root unions accessing the same root union resource at the same time.

The invention provides an optical cable design intelligent drawing system and method based on fusion of multi-source acquisition data. Through combination of the large model processing layer and the core function layer, automatic analysis, association and compliance detection of the multi-source collection data are realized, the work of manually completing verification and compliance detection of the multi-source collection data in the prior art is replaced, and the manual workload is greatly reduced, so that the multi-source collection data verification and compliance detection can be realized in a complex scene, and the multi-source collection data verification and compliance detection efficiency is improved. Automatic processing can be completed based on the combination of the large model processing layer and the core function layer of the system, and the technical effect of improving the completion efficiency and precision is generated due to the reduction of the manual workload.

The invention provides a method for creating a dynamic configuration custom model. The method comprises the following steps: step 1, configuring a parameter model; 2, configuring a calculation template; 3, associating parameters in the parameter model with parameters in the calculation template, and completing association configuration of the parameter model and the calculation template to obtain a calculation model; step 4, generating a calculation instance based on the calculation model; wherein the calculation instance is used for calling calculation; according to the method, unified configuration management can be carried out on the calculation model, the calculation file is generated by editing the Exce l file, a calculation formula does not need to be written into an underlying code, a standardized calculation file template is provided, program maintenance is facilitated, and the time for modifying the code is saved.

The invention provides a file analysis method, and relates to the technical field of file analysis. The method specifically comprises the steps of obtaining a to-be-analyzed file and a target data type set, wherein the to-be-analyzed file comprises a reference data set and multiple reference data types corresponding to the reference data set; structured operation is conducted on the target data type set according to the to-be-analyzed file, a target structure file is obtained, and the structured operation is used for converting the target data type set into a tree structure file; templating operation is conducted on the target structure file to obtain a plurality of unit template files, and the templating operation is used for splitting structure information in the target structure file into a plurality of files meeting a preset structure; and performing target analysis on the to-be-analyzed file according to the plurality of unit template files to obtain a target data file. The problem that in the prior art, a file analysis method is low in flexibility is solved, and the flexibility of the file analysis method is improved.

The present invention belongs to the field of medical information, and specifically relates to an interactive outpatient oral medical record display device and method. The device of the present invention includes: an image acquisition unit, which acquires an oral image, wherein the oral image is a full-mouth tooth position curved surface layer image; a mark acquisition unit, which acquires mark information associated with the oral image, wherein the mark information includes focus point information and reference dental arch information; a spacing information unit, which obtains spacing information according to the oral image and tooth position information; an information drawing unit, which determines the tooth area to be rendered in the canvas according to the mark information, adjusts the tooth model corresponding to the tooth position information in the tooth area to be rendered based on the reference dental arch information, determines the spacing of the tooth model based on the spacing information, draws a patch on the tooth model corresponding to the tooth position information, and draws the focus area patch in the canvas based on the rendering rule corresponding to the focus point information. The present invention can realize the analysis of DICOM, STL, and JPG images, and generate images suitable for medical record display.

The present invention provides a distributed database and big data component metadata sharing system, comprising: an execution plan generation module, which parses SQL queries submitted by users and generates an execution plan that can be executed by a database; an external metadata management module, which identifies an external metadata name FQN; the external metadata management module cooperates with the execution plan generation module to identify and manage an integer identifier OID of the external metadata; an external metadata translator module, which parses the integer identifier OID of the external metadata and converts it into internally identifiable metadata; the external metadata translator module provides the execution plan generation module with metadata corresponding to the external metadata OID; an external metadata connection parameter storage, which stores connection parameters of each external metadata name FQN; and an external metadata connector, which obtains connection parameters from the external metadata connection parameter storage according to the external metadata FQN.

The embodiment of the present invention discloses a method, device, equipment and medium for parsing a log file compression package. The method comprises: reading a log file compression package through a file reading class pre-created based on Flume; wherein the log file compression package includes multiple bcp files; parsing the row data of the log file compression package through a custom deserializer in the file reading class, and storing the parsing result in a message queue. The above technical solution realizes the parsing of the log file compression package based on Flume.

The embodiment of the present application provides a signal processing method, system, electronic device and storage medium, which belongs to the field of signal processing technology. The signal processing method is applied to a controller, in which a timer is provided, and the timer has an input capture function, and the method includes: obtaining an input signal, counting the pulse signal in the input signal to obtain multiple count values; obtaining a capture result according to whether the timer captures the direction signal; obtaining the effective direction flag of the input signal, and judging whether to update the effective direction flag according to the capture result; calculating the pulse increment according to the capture result, the effective direction flag and multiple count values; calculating the error compensation increment according to the capture result, the effective direction flag, the pulse increment and multiple count values; judging whether the input signal is captured by a false trigger, and calculating the number of pulses of the input signal according to the judgment result and the pulse increment and the error compensation increment. The anti-interference ability of the signal is improved and the design cost is reduced.

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 application discloses a kind of IEC104 protocol fast analysis device and method based on P4 programmable switch, device includes P4 programmable switch main body, protocol analysis unit, rule configuration unit, matching execution unit and unpacking unit;Hardware processing pipeline is equipped in P4 programmable switch main body, protocol analysis unit, matching execution unit, unpacking unit are sequentially arranged in the corresponding position of flow line and are connected, and rule configuration unit is connected with main body control plane in communication.This device cooperates through each unit, solves the drawbacks that existing software analysis delay is high, throughput is low, operation and maintenance are complex and traditional switch cannot be deeply analyzed, without additional deployment host, reduce cost and operation and maintenance difficulty, programmable and adapt to multiple business scenarios, meet the real-time performance, reliability requirements of new power system to communication.

The invention discloses an industrial control private network protocol vulnerability mining method based on protocol analysis. The method comprises the steps of 1, preprocessing industrial control flow data; 2, extracting a traffic fingerprint in the traffic data set; and step 3, analyzing the specification of the target protocol by using the traffic fingerprint. And 4, reconstructing a state transition track of the target protocol by using the analysis specification. And step 5, using the state conversion track to guide the test case to test the state of the tested target, and at the same time, using a heartbeat message detection mode to monitor the state of the tested target and position the triggered vulnerability. The invention further provides an industrial control private network protocol vulnerability mining system based on protocol analysis. According to the method, the analysis accuracy of the private protocol specification can be effectively improved, and meanwhile, more protocol states can be subjected to efficient fuzzy testing under the condition of the same number of test cases, so that more vulnerabilities hidden in the protocol are mined.

The present invention discloses a method, system and device for evaluating the influence between events. The method comprises the following steps: fusing multi-source data to construct a causal event-reasoning graph; the multi-source data at least comprises patent data and paper data; calculating the sum of the weights of the edges in the technology evolution path of the event graph by a dynamic programming method, extracting and quantifying the technology evolution path; calculating the weighted influence by the reasoning weight of the event and the weighted degree centrality, and quantifying the influence between technology events in the evolution path; the influence between events in the technology evolution path is represented in the form of a weighted matrix; the present invention quantifies the causal relationship in the technology evolution process and deeply analyzes the law of technology evolution.

This invention relates to a method for parsing a two-dimensional cube stacking diagram into a three-dimensional one, in the field of image recognition technology, comprising the following steps: S1: collecting data of the cube stacking diagram using an automated data acquisition module, forming a dataset and automatically creating a label file; S2: training a geometric target recognition module based on a BlockNet network using the dataset; S3: photographing the cube stacking diagram to be parsed, and using the trained geometric target recognition module to parse the geometric structure of the cube stacking; S4: sending the parsed geometric structure to an AR device for dynamic display.

The present invention discloses a segmentation algorithm and quantitative calculation of multiple defects of bridge images based on perceptual analysis. The present invention relates to the technical field of bridge defect detection, including the source and construction of a bridge data set, data set division, construction of a multi-task semantic segmentation algorithm based on perceptual analysis and a quantitative calculation method of bridge defect parameters, and a step of calculating bridge defect attribute values. The present invention has the advantages that: by designing a dynamic sparse convolution operator and introducing a multi-group mechanism at the encoder stage, the memory occupancy of the model is reduced, and the ability of the model to capture and distinguish multiple defects is enhanced. At the decoder stage, the patch feature expansion layer and the jump connection channel-spatial attention module are used to reduce the complexity of the model, while improving the precise positioning and segmentation performance of different types of defect areas. In addition, by fusing multi-scale features and unifying the output, the comprehensive perception and analysis of bridge defects are realized, and the accuracy and robustness of the overall detection are improved.