258results about How to "Improve analysis efficiency" patented technology

The invention discloses a method for generating a micromechanical property distribution diagram of a solid waste composite cement-based cementing material, and belongs to the technical field of performance prediction of solid waste composite cement-based cementing materials, and the method comprises the following steps: acquiring BSE, EDS and nanoindentation data of a sample; identifying indentation areas in the nanoindentation mark graph, and generating masks corresponding to the areas; performing statistics on the regional masks to obtain element content data of each indentation region; establishing a prediction model by adopting machine learning based on the regional element content and the elasticity data; performing super-pixel segmentation on the BSE image to match the scale of the indentation area; calculating element features of the super-pixel regions, and predicting the elastic modulus of each super-pixel region; and mapping the predicted elastic modulus to a corresponding region to generate an elastic modulus distribution diagram. According to the method, prediction of the two-dimensional space distribution of the internal elastic modulus of the solid waste composite cement-based cementing material can be realized, and data and visual support are provided for material heterogeneity research and multi-scale modeling.

The application discloses a kind of abrasive grain flow microchannel polishing quality reliability analysis systems, including abrasive grain flow polishing system, quality detection system and reliability analysis system, the abrasive grain flow polishing system is used in the polishing processing of microchannel in microfluidic chip;The quality detection system is used to carry out quality detection to the microchannel after processing, and obtains detection value R1;The reliability analysis system carries out reliability analysis to processing quality, and the information basis of analysis is processing parameter P and the microchannel processing quality detection value R1 obtained by detection;The reliability analysis system transmits adjusted processing parameter to the abrasive grain flow polishing system, and is used to control microchannel polishing.The application also discloses a kind of abrasive grain flow microchannel polishing quality reliability analysis method.The application utilizes new learning function, and the correlation coefficient introduced by new learning function, improves the accuracy of model in threshold value vicinity, and can avoid the accuracy in low correlation area, ensures the accuracy of reliability analysis.

The invention relates to the technical field of mobile communication, in particular to an urban resident lifestyle identification method based on Wi-Fi handshake data. Wi-Fi handshake data of the mobile terminal are collected; based on the Wi-Fi handshake data, identifying visit events of an individual at different points of interest (POI), and forming a continuous visit sequence according to a time sequence; compressing the visited sequence, and extracting a long-term repeated high-frequency sequence mode; calculating the similarity between the users based on a high-frequency sequence mode, and obtaining a user group cluster with similar lifestyles through clustering; and performing feature analysis on each user group cluster, extracting a core visit sequence, and generating a lifestyle group portrait. Through the technical combination of Wi-Fi handshake data acquisition, sequence compression clustering and sample representativeness correction, comprehensive optimization of urban resident lifestyle identification on coverage integrity, result accuracy, implementation efficiency and cost control is realized, and high-quality data support is provided for urban related decisions.

This application provides a method and apparatus for testing the inference consistency rate of a large language model, relating to the field of artificial intelligence technology. The method includes: sending preset test cases to an inference server, causing the inference server to execute baseline inference and comparison inference respectively, obtaining baseline inference results and comparison inference results; standardizing the baseline inference results and comparison inference results; generating inference precision and inference hit rate based on the standardized comparison inference results and standardized baseline inference results; and calculating the inference consistency rate of the large language model based on the inference precision and inference hit rate. The method and apparatus for testing the inference consistency rate of a large language model provided in this application achieve quantifiable, tolerant, and comparable evaluation of inference consistency, significantly improving the accuracy, interpretability, and adaptability of inference consistency verification.

This application discloses a method and system for power grid topology analysis, including the following steps: establishing and storing the relationships between power collection points and gateway tables, gateway tables and devices, and devices in a first database; acquiring real-time power collection information and storing it in a second database according to time; a topology analysis module retrieving the relationships in the first database to construct a topology graph; selecting a device, the first database retrieving the associated devices of that device, the device itself, and the gateway tables corresponding to the associated devices, and outputting this information to the topology analysis module, while outputting the power collection point set information to the second database; the second database matching a set of real-time power collection information containing the power collection point set, and outputting this information to the topology analysis module; and the topology analysis module receiving the real-time power collection information set, analyzing and processing it, and displaying the results. The beneficial effects of this application are: significantly improving the efficiency of storing, querying, and analyzing massive amounts of power grid power data.

This invention discloses a method, apparatus, terminal, and medium for scheduling video analysis tasks in a heterogeneous application system. The method includes: acquiring the computing power parameters and video decoding parameters required for the video analysis task; determining the scheduling strategy and corresponding computing modules for the video analysis task based on the required computing power parameters, video decoding parameters, and the computing power parameters and video encoding / decoding parameters of each computing module; and scheduling the video decoding and computing tasks within the video analysis task to the corresponding computing modules according to the scheduling strategy to execute the corresponding tasks. This invention utilizes video data communication transmission between multiple computing modules in a heterogeneous application system to schedule multiple computing modules to complete video analysis tasks, maximizing the utilization of the computing power and video encoding / decoding capabilities of the heterogeneous application system, increasing the number of video analysis task processing paths supported by the system, and improving the efficiency of video analysis.

This application discloses a multi-source fusion log compression method and apparatus for anomaly detection, belonging to the field of anomaly detection technology. The multi-source fusion log compression method for anomaly detection includes: generating an audit origination graph corresponding to the system audit log, an application origination graph corresponding to the application log, and a domain name origination graph corresponding to the domain name system log based on the system audit log corresponding to the electronic device, the application log corresponding to the target application in the electronic device, and the domain name system log corresponding to the electronic device; fusing the domain name origination graph into the application origination graph based on the domain name nodes in the application origination graph to obtain a sub-fused origination graph; fusing the audit origination graph into the sub-fused origination graph based on the event nodes in the audit origination graph to obtain a fused origination graph; and performing anomaly detection based on the fused origination graph. The multi-source fusion log compression method for anomaly detection in this application can alleviate the problems of semantic gap and dependency explosion.

The present disclosure provides a message processing method and device, equipment and storage medium, comprising: in response to receiving a to-be-processed message, extracting quintuple information from the to-be-processed message; matching the quintuple information with the index key of the session table to determine the type of the to-be-processed message, wherein the index key of the session table is constructed based on the quintuple information of the established session; in response to the type of the to-be-processed message being a first packet, matching the quintuple information with the index key of the association mapping table to determine whether the to-be-processed message is an associated session of the main session, wherein the index key of the association mapping table is constructed based on the IP address and port information obtained by parsing the application layer of the control channel message of the multi-channel protocol, and the main session is the session of the control channel; in response to the to-be-processed message being an associated session of the main session, performing forwarding processing on the to-be-processed message.

The invention provides a municipal road maintenance demand prediction method and system based on machine learning, and relates to the technical field of machine learning, and the method comprises the steps: obtaining the service starting time of a municipal road and the passing frequency and full load proportion of heavy-load vehicles in a plurality of sampling periods; difference calculation is carried out on the service starting time and the sampling time points in each sampling period, and a space-time incidence matrix is constructed; taking an attenuation coefficient in the space-time incidence matrix as a dynamic regulation factor to obtain a bit stream sequence; mapping the bit stream sequence as an observation sequence to a preset road grid map, and determining an optimal transfer path through optimal path planning; and determining a grid step length for transferring the road state to the maintenance state at the current moment from the optimal transfer path, and determining maintenance demand prediction information comprising a maintenance priority and a predicted maintenance date. The precision, objectivity and foresight of municipal road maintenance demand prediction are realized.

The invention provides a regression test result difference root cause positioning system and electronic equipment. The system comprises a test result acquisition module which is connected with a test platform and is used for acquiring an actual test result and an online version test result; the information acquisition module is connected with the development platform and is used for calling a code change interface of the development platform to acquire code change information and test target information associated with the actual test result; the large language model is connected with the target knowledge base and is used for automatically determining a result difference field according to an actual test result and an online version test result, determining a code change position corresponding to the result difference field according to the test target information and the code change information and determining whether the code change position conforms to the test target information or not; and outputting the target code change position which does not conform to the test target information and the target result difference field corresponding to the target code change position. According to the embodiment of the invention, the regression test efficiency can be remarkably improved.

The application relates to the technical field of aerial video analysis, and discloses a large-scene multi-modal analysis system and method based on a UAV. The method acquires an original video frame sequence from aerial equipment, extracts a scene change period and an object motion trend by calculating an inter-frame motion feature vector, and judges whether a scene is in a stable or dynamic state by means of a state classification model. In the dynamic state, a tracking target position is calculated according to preset parameters, and an analysis target area is adjusted in combination with the motion trend; a camera parameter adjustment instruction is generated according to a deviation amount of the analysis target area from an actual object position, and is output to an executing mechanism; a complexity value is acquired through a scene complexity feedback signal, and when the complexity value exceeds a preset range, an adaptive algorithm is used to update an analysis strategy and output an adjustment signal; the output timing of control and strategy adjustment signals is optimized, the frame sequence and analysis parameter change trend are monitored in real time, preset parameters are dynamically updated to match user requirements, and efficient video analysis processing is realized.

The invention discloses an IGBT packaging material dielectric property and thermal resistance linkage testing device, which relates to the technical field of packaging material testing, is used for carrying out performance evaluation on an IGBT packaging material in intelligent power distribution switch control equipment, and comprises a testing box, the inner wall of the testing box is covered with a thermal insulation layer, the front surface of the testing box is provided with a testing cavity, and the testing cavity is provided with a thermal resistance test cavity. And a lower heat conduction base is arranged at the bottom of the test cavity. The temperature field and heat flow state of a packaging material sample can be actively and accurately controlled, the working temperature rise and heat dissipation conditions of a real IGBT module are simulated, meanwhile, the lower electrode plate and the upper electrode plate directly make contact with the sample and are connected to the broadband dielectric impedance spectrometer, and therefore the temperature rise and heat dissipation conditions of the IGBT module can be simulated while controllable thermal excitation is applied. Dielectric spectrum characteristics of a material can be measured in situ in real time, the temperature sensor directly monitors the temperature of a sample interface, and then thermal resistance testing and broadband dielectric property testing can be dynamically evaluated in the same sample, the same time and the same controlled thermal environment.

The application discloses a kind of based on fissure expansion's rock slope excavation unloading failure path analysis method, belong to slope stability analysis technical field, including the following steps: S1, fissure equivalent simulation;S2, stress intensity factor calculation and expansion type judgment;S3, fissure cracking judgment;S4, fissure expansion calculation;S5, fissure expansion section generation.The fissure expansion's rock slope excavation unloading failure path analysis method in the application, by the originally complex fissure expansion environment is divided into multiple sub fissure dynamic expansion model, then single sub fissure expansion model is analyzed one by one, then the fissure expansion situation of single sub fissure expansion model is combined with other sub fissure expansion model and is analyzed, such as step by step calculation, obtain the fissure expansion situation of rock slope under overall complex environment, overall calculation logic is clear, avoid complex redundant calculation, improve fissure expansion situation analysis efficiency.

This disclosure provides a nuclear magnetic resonance (NMR) analysis method for establishing the chemical composition and condensed-state structure of fluorine-containing materials and its application. The method includes: placing fluorine-containing materials under different operating conditions in a single-sided NMR spectrometer; under a single-sided inhomogeneous magnetic field environment; presetting parameters for a spin echo pulse sequence; using the spin echo pulse sequence to excite fluorine and hydrogen nuclei in the fluorine-containing material to obtain coupled NMR signals of fluorine and hydrogen nuclei; determining echo peak data from the coupled NMR signals according to the preset parameters; processing the echo peak data according to the structural characteristics of the fluorine-containing material to obtain relaxation spectrum fingerprint data; performing data transformation on the relaxation spectrum fingerprint data to obtain transverse relaxation time data; and establishing a relaxation spectrum fingerprint database and a transverse relaxation time database of the coupling of fluorine and hydrogen nuclei in the fluorine-containing material based on the relaxation spectrum fingerprint data and transverse relaxation time data under different operating conditions.

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.

This invention discloses a stream-based real-time log analysis and alerting method, apparatus, and related equipment. The method includes: collecting log data generated by different security devices; adding a flag field to each collected log data; formatting the log data according to the flag field; normalizing the formatted log data using a streaming processing framework; caching the normalized log data according to a preset matching scheme; determining whether the number of cached logs of the same statistical dimension reaches a preset threshold; if so, determining whether the generation time of all log data reaching the preset threshold exceeds a preset observation time range; and generating an alert if so. This method can solve the problem of log consumption capacity being less than log generation speed, significantly improving the analysis efficiency of attack log data and achieving more efficient log processing and alerting.

This invention discloses a precise legal consultation method and system based on multi-agent orchestration. The method includes: employing a hybrid intent classification mechanism with three levels of linkage—LLM remote reasoning, local heuristic correction, and keyword fallback—to route user requests to different paths, driving differentiated processing flows; performing dual-path retrieval of vector retrieval and knowledge graph relationship expansion in deep analysis to generate a structured analysis report; introducing a multi-dimensional context compression algorithm to reduce token overhead and illusion risk; embedding a three-stage emotional reassurance mechanism throughout the entire response process; and using a rendering type protocol to achieve front-end / back-end decoupling and unified rendering across multiple platforms, decomposing the processing into continuous dynamic feedback through a staged streaming response mechanism. This invention achieves intelligent, precise, and emotionally engaging legal consultation processes through multi-agent orchestration, significantly reducing model reasoning costs and improving the handling capacity for complex cases and user interaction experience.

The embodiment of the invention provides a multi-source threat intelligence analysis method and device, electronic equipment and a storage medium, and relates to the field of network security. The method comprises the steps of obtaining multi-source heterogeneous threat intelligence data, and performing normalization processing on the multi-source heterogeneous threat intelligence data to obtain a standardized data set; partitioning the standardized data set to obtain a plurality of data blocks, and dynamically partitioning based on a preset word segmentation device to obtain structured integrated data; extracting dominant threat information and attack intention tags through global analysis of a preset large language model to obtain a preliminary analysis list; and constructing a knowledge graph according to the preliminary analysis list and storing the knowledge graph in a preset graph database, and combining the knowledge graph and the preliminary analysis list to generate an intelligence analysis result. The method is used for realizing end-to-end structured processing and effective association analysis of multi-source heterogeneous threat intelligence, improving intelligence analysis efficiency and accuracy, and providing reliable support for network security defense.

The application discloses a game client performance analysis method and related products. The measured device receives a recording start instruction initiated by a performance recording tool, records game engine performance data and system performance data of the game client through a target plug-in and a system performance tool respectively, and sends the data to a test device. The test device compresses the data into a data file and uploads the data file to a performance data analysis platform. The platform analyzes the data file to obtain the time relationship between the sampling time point and the game frame, the frame time consumption of the game frame, and the functions involved in the performance data of the sampling time point, and performs function performance and stall analysis. With the aid of the target plug-in, the system performance tool and the test device pre-installed in the game client of the measured device, automatic collection of performance data is completed; the platform automatically analyzes the function performance and the game stall on the basis of the collected data, realizes performance analysis independent of manual debugging or cooperation, greatly improves the early collection efficiency and analysis efficiency, and realizes full-process automation and is not prone to vulnerabilities.

The embodiment of the invention provides a method and a device for identifying and evaluating test data of each g of steady-state operating force, computer equipment and a medium, and the method comprises the following steps: eliminating error data in the test data, and calculating to obtain preprocessed test data of each g of steady-state operating force generated per second; recognizing the action of each g of steady-state control force through the preprocessed test data generated per second to obtain the action of each g of steady-state control force; the method comprises the following steps: performing equivalent matching on each g of steady-state control force according to test data of each g of steady-state control force generated per second and actions of each g of steady-state control force, generating a first ratio of overload to incidence angle variation and a second ratio of overload to rod force variation, and evaluating the flight quality of each g of steady-state control force according to the first ratio and the second ratio. According to the scheme, batch processing, calculation and flight quality evaluation of each g of steady-state control force data are realized, so that the efficiency of test data analysis is greatly improved.

This application provides a domain name risk assessment method, apparatus, electronic device, and storage medium, relating to, but not limited to, the field of data processing technology. The method includes: determining a DNS resolution dependency path tree corresponding to a target domain name; performing a depth-first search on the DNS resolution dependency path tree to determine each DNS resolution dependency path of the target domain name; obtaining attribute risk indicators of node risk attributes for each node in the DNS resolution dependency path tree; calculating path risk indicators for each DNS resolution dependency path based on the DNS resolution dependency paths and each attribute risk indicator; and determining the target risk indicator for the target domain name based on the path risk indicators corresponding to the target domain name. This application's embodiments diagnose domain name risks from a management perspective, supplementing and improving existing DNS resolution-side risks. Furthermore, based on the dependency path tree, it enables further analysis of various dependency risks in the DNS resolution process, thereby improving the accuracy and efficiency of domain name risk assessment.

This invention discloses a safety assessment model for ship berthing and departure scheduling, relating to the field of ship management technology. It includes ST1, defining the risk items to be assessed; ST2, defining safety factors and matching safety rules to each risk item; ST3, establishing safety assessment logic for each risk item and pre-setting weight values ​​based on the actual hydrological environment and facilities of the port; and first, checking the rationality of the ship's planned time. If reasonable, the corresponding information of the ship plan, related ship plans, and traffic control plans are input into each safety assessment logic, each logic is scored independently, and finally, the risk score of the ship plan is calculated and output based on the weight values. This application can improve the efficiency of analyzing the risks of ship berthing and departure scheduling plans and reduce the errors that may exist in manual analysis results.

The invention discloses a method for determining ash content of recycled polystyrene plastic by X-ray fluorescence spectroscopy, which comprises the following steps: selecting recycled polystyrene plastic with different ash content as a standard sample, determining the content of all elements of the plastic by using an X-ray luminoscope, taking organic components of the recycled polystyrene plastic as equilibrium phases to participate in calculation, and determining the ash content of the recycled polystyrene plastic by using the X-ray luminoscope to determine the ash content of the recycled polystyrene plastic. And dividing the standard sample into two sections according to the ash content, and fitting the two sections with the actual ash content function respectively. And measuring the fluorescence spectrum of the sample to be measured, calculating the theoretical ash content, and correcting the theoretical ash content by using a function. Compared with a standard ash content measuring method, the method does not need to burn plastic, and is simple, rapid, environment-friendly and safe. Compared with an empirical coefficient method of X rays, a direct tabletting method can be selected, a calibration curve of elements does not need to be established, and the analysis efficiency is improved; meanwhile, matrix effect and element spectral line overlapping caused by matrix difference between an actual sample and a standard sample are avoided, and the analysis precision is improved.

The invention discloses a performance monitoring method and device for synchronous acquisition of multiple performance indexes, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: determining a periodic sampling time window based on a preset basic sampling period; when each sampling time window starts, triggering synchronous acquisition of a plurality of performance indexes of the target object; associating a plurality of performance indexes collected in the same sampling time window based on a unified time identifier corresponding to the sampling time window so as to combine into a time-aligned performance snapshot; and storing the performance snapshot in a preset cache structure. According to the scheme, the problem that the accuracy of root cause positioning is affected due to data time sequence disorder caused by asynchronous acquisition of performance indexes in the prior art is solved, so that different performance indexes have time consistency for direct comparison and correlation analysis, and the accuracy and analysis efficiency of performance anomaly root cause positioning are remarkably improved.

The invention provides a document analysis method and device, equipment, a storage medium and a product, and the method comprises the steps: carrying out character prediction based on a document page image and text prompt information indicating analysis, and generating a target character; performing character prediction based on the target character and a set prediction guide unit, and generating at least two characters of which the character positions are ranked behind the target character; if the ending character is not obtained, taking at least two characters as target characters, and performing character prediction again based on the target characters and the prediction guide unit until the ending character is obtained; and based on the characters obtained by each prediction, an analysis result is generated, and the analysis result comprises text information used for representing the content elements in the document page image and the structural relationship between the content elements. According to the technical scheme, the prediction guiding unit is introduced, so that multiple characters can be predicted in parallel in single character prediction, and the document analysis speed is increased while the document analysis accuracy is kept.

This invention discloses an automatic identification method and system for lipid double bond positions based on ozone dissociation mass spectrometry data. The method includes: S1 constructing an in-silico ozone lipid fragment database; S2 preprocessing the raw mass spectrometry data and screening to obtain candidate features and auxiliary features; S3 retrieving ozone fragment features from the auxiliary features based on retention time and mass difference constraints; S4 constructing a directed bipartite graph of candidate features and fragment features; S5 scoring edges through multi-dimensional similarity calculation and removing redundancy by attribute combination; S6 comprehensively scoring the candidate lipid structures and outputting the double bond position identification results. This invention achieves high-throughput, low-false-positive automatic identification of double bond positions in multiple lipids and large-scale lipids through broad database coverage, multi-dimensional matching scoring, and redundancy removal strategies. It has strong structural resolution, is compatible with common mass spectrometry data formats, can be integrated with standard workflows, and is suitable for structural lipidomics research.

The invention provides a user behavior analysis system and method and a storage medium, and belongs to the technical field of face data processing. In the system, a local data acquisition module comprises a multi-path acquisition device arranged in a target store and is used for acquiring face data in the target store; the local center service module is used for preliminarily filtering face data in a target store and then uploading the face data to the cloud processing module; the cloud processing module is used for executing an adjacent data comparison strategy for performing secondary filtering on the face data of any path of acquisition equipment when the face data of any path of acquisition equipment in the target store meets a preset accumulation condition in the process of performing serial pedestrian face recognition processing on the face data in the target store; and determining offline behavior data corresponding to any user in the target store according to the filtered face data in the target store. The method and the device aim at improving the efficiency of analyzing the user behaviors.

The application provides a self-evolving intelligent fund analysis method, relates to the field of data processing, and comprises the following steps: receiving a natural language analysis instruction, combining a large language model decomposition task, extracting account fund flow characteristics and matching with historical cases, and generating a weighted execution instruction; identifying a transfer path based on a fund correlation graph, extracting a priority path subgraph structure according to a user identifier, and forming a directional analysis model; performing node risk scoring on the fund correlation graph, outputting a risk account identifier and an analysis report, and realizing intelligent and accurate fund risk identification.

The application discloses an online detection method for replacing offline sample injection spectrum scanning in gasoline blending. The existing refinery gasoline blending widely adopts near-infrared spectrum quantitative modeling technology, and relies on manual field sampling-laboratory offline sample injection spectrum scanning to obtain a standard spectrum, which is used for calibration and updating of a model. The mode has a long process, high time consumption, high labor cost and poor real-time performance, and restricts the optimization efficiency of blending. The patent continuously collects near-infrared spectrum and real-time flow data after a blending head, calculates a final spectrum by flow weighted average, the spectrum can directly replace offline sample injection spectrum scanning, manual sampling and offline spectrum scanning are not needed, the real-time performance of gasoline blending analysis and the updating efficiency of a model are significantly improved, and the manual operation cost is greatly reduced.