305 results about "Analysis working" patented technology

The invention discloses a dialogue type data analysis method and device, a storage medium and electronic equipment, and relates to the technical field of data analysis. The method comprises the steps that a natural language text input by a user is acquired; obtaining corresponding semantic pre-analysis information based on the natural language text; matching a corresponding mode mapper based on the semantic pre-analysis information; obtaining corresponding semantic information based on a mode mapper; converting the semantic information into corresponding semantic information conversion parameters; analyzing the semantic information conversion parameter to obtain an index value corresponding to the to-be-queried index; performing anomaly detection on the index value corresponding to the to-be-queried index; and performing analysis result display on the index value corresponding to the to-be-queried index passing the anomaly detection. According to the method, information arrangement and information analysis are carried out on the natural language text input by the user, the intention of the user is known, the index needing to be queried by the user is fed back, the operation complexity is reduced, the interactivity and the real-time performance are improved, and convenience is provided for data analysis work.

The invention discloses an oil pipeline quality monitoring and evaluating method and system based on data processing, and belongs to the technical field of data processing.The method comprises the steps that sensor information is obtained, and the sensor information comprises vision, sound, temperature and vibration data; acquiring application scene information; selecting a fusion mode in combination with application scene information through early fusion, middle fusion and late fusion strategies; computing and storage resources are deployed at edge nodes close to a data source by using an edge computing method, and the edge nodes are responsible for preliminary data processing and analysis work to reduce data transmission delay; analyzing sensor information by using deep learning and machine learning algorithms, and identifying an abnormal mode and a potential fault; edge computing and cloud computing are combined to form a cloud-edge collaborative architecture, and the cloud-edge collaborative architecture is used for carrying out complex data processing and model training work. The method has the effects of reducing data transmission delay and improving the real-time performance of oil pipeline quality monitoring.

The invention discloses a geophysical prospecting system and method for seismic survey. The system comprises a seismic source and receiving point laying module, a data acquisition module, a data processing module, a three-dimensional imaging module, a data interpretation module, a comprehensive analysis module, auxiliary equipment and an early warning module. The data processing module comprises a preprocessing module, a speed analysis superposition processing module and an offset processing module. According to the invention, data with high quality, signal-to-noise ratio and accuracy can be obtained by adding the density of the receiving points and combining the speed analysis superposition processing module to carry out superposition correction processing on the data, and meanwhile, by combining the reverse time migration technology, an underground structure can be accurately recovered, the imaging quality is improved, the subsequent interpretation and analysis work of personnel is facilitated, and the working efficiency is improved. The exploration accuracy is improved, and personnel can more accurately reveal the underground geologic structure conveniently.

The invention discloses a device and a method for detecting organic matter components in space dust. The device comprises a pyrolysis cabin and an electronics box which are communicated end to end, a transparent window is arranged between the pyrolysis cabin and the electronics box, a front cover plate capable of being opened and closed is arranged at a head port of the transparent window, and a silicon dioxide aerogel plate is embedded in the front cover plate; the electronics box is internally provided with a macro magnification camera, an infrared laser unit, an infrared temperature measurement camera, a double-optical-comb spectrum unit, a main control unit and a power supply unit. According to the invention, dust or fragments floating in the space can be effectively captured and collected under the approaching environment of the space orbit of the earth or asteroid and other stars, and the captured sample is heated by using high-power infrared laser, so that organic matters and water in the sample are heated, decomposed and volatilized; and then carrying out qualitative and quantitative analysis work on volatile matters by using a double-optical comb spectrometer, so as to realize high-precision, high-sensitivity and high-resolution in-situ detection analysis on space dust.

The invention relates to a multi-polarization radar geological structure analysis method, device and equipment and a storage medium, and the method comprises the steps: carrying out the detection operation along a target measuring line in a detection region through a multi-polarization radar, so as to obtain the multi-polarization radar data of an underground target body and a geological structure; performing standardization processing on the multi-polarization radar data by using the sample database to obtain an ordered sample data set; performing pixel-level fusion on the multi-polarization radar data according to the ordered sample data set to generate a multi-polarization radar sample data set with the resolution greater than a preset resolution; and inputting the sample data set into a preset pulse neural network to output an intelligent identification result of the underground target body and the geological structure, and extracting categories and potential relationships of the underground target body and the geological structure according to the intelligent identification result. Therefore, the problems that the workload of multi-polarization radar data interpretation analysis is large, the recognition precision and efficiency are low, and the professional ability of employees is excessively depended in the prior art are solved.

A modular open system architecture for common intelligence picture generation is disclosed. The system receives intelligence requirements through a multimodal artificial intelligence system and calculates collection feasibility across multiple intelligence sources based on physical and temporal conditions. The system develops integrated collection plans through the containerized analytics workbench using containerized analytics modules and processes intelligence through GPU-accelerated deep learning models for automated target recognition. Satellite collection is orchestrated through satellite data acquisition optimization platform by evaluating weather conditions, orbital parameters, and sensor capabilities, while space domain awareness is maintained through space domain awareness system for real-time collection asset management. Multi-source intelligence data is fused through multi-source intelligence fusion system to populate a common intelligence picture. The system implements automated workflows for intelligence analysis and dissemination while maintaining security controls, with the containerized analytics workbench providing pattern of life analysis and dynamic exploitation through containerized microservices.

The invention provides a planning analysis workflow intelligent arrangement method and device based on a natural language instruction, and the method and device can deeply understand the complex analysis intention of a plan in a natural language through a mixed analysis engine comprising a large-scale language model and a named entity recognition model. And according to the understood intention, a proper operator and a proper model are autonomously selected from a tool library in combination with a planning analysis knowledge graph, so that a complete, logic self-consistent and executable multi-step analysis workflow can be autonomously and dynamically arranged, the workflow is automatically executed, and multi-modal data is collected. According to the method and the device, the technical problems in multiple aspects from keyword matching to composite intention deep understanding, from artificial process design to knowledge-driven intelligent arrangement and from one-way instruction execution to interactive exploration analysis in the prior art are solved, and the method and the device have the advantages that the technical problems in multiple aspects from keyword matching to composite intention deep understanding, from artificial process design to knowledge-driven intelligent arrangement and from one-way instruction execution to interactive exploration analysis are solved; the planning work efficiency can be improved, the technical threshold is reduced, and industry digital transformation is promoted.

The invention discloses a network information intelligent analysis method and system based on a large model, and the method comprises the steps: firstly carrying out the preprocessing of network information, constructing a prompt word template through a multi-step thinking method, and processing the network information; calling the large model to obtain a network information analysis result presented by JSON format data; performing format judgment on the analysis result by using a feedback optimization method, and if the format requirement is not met, repeatedly calling the large model, and updating the network information analysis result; and performing JSON format matching on the analysis result of which the output format of the large model still does not meet the requirement to obtain an analysis result meeting the JSON template. According to the method, emotion analysis can be more accurately carried out on the network information, and the efficiency and accuracy of analysis work are remarkably improved.

The invention provides an audit data analysis method based on a large language model. The audit data analysis method comprises the following steps: analyzing a natural language request: judging whether the request is structured data or unstructured data; multi-modal result fusion: an audit data analysis system of the large language model comprises an intelligent analysis module, an SQL assistant module, a document assistant module and a general intelligent module, and data streams among the modules are transmitted through an intranet encryption channel; by constructing an intelligent data analysis system based on a large model, an integrated process of'natural language questioning-gt, automatic SQL generation-gt and data analysis results' is realized, auditing personnel are assisted to efficiently complete data analysis work, the defects in the prior art are overcome, and the method has important research significance and use value.

The invention provides a service performance anomaly detection and disposal method based on an AI agent, and belongs to the field of mobile communication. Establishing a professional knowledge base for the business themes; packaging and developing a tool set with independent functions according to business function requirements; the method comprises the following steps: constructing an AI agent by adopting a large model platform, integrating a professional knowledge base and an intelligent tool set, and arranging a business analysis processing flow of the intelligent tool set; and the AI intelligent agent can automatically execute a business analysis processing flow, carry out anomaly detection and analysis processing on business performance, and output a comprehensive analysis conclusion. Automation of the disposal process is achieved through the AI agent, manual analysis is replaced, the working difficulty of complaint analysis of a user is lowered, the usability of a complaint analysis tool is improved, and the efficiency and accuracy of complaint analysis processing are improved.

The invention discloses a flow resistance and heat transfer simulation analysis method for a thermal management refrigerant side integrated module, and relates to the technical field of computer simulation. The method mainly comprises the following steps of: dividing a computational domain model into a solid domain, a fluid domain comprising a plurality of single-phase flow channel sub-domains and a flow channel section which is in a gas-liquid two-phase state and exchanges latent heat along with phase change in combination with the need of an actual analysis working condition; performing polynomial fitting on various parameters by fixing the inlet pressure value of each single-phase flow channel sub-domain; loading the fitted physical property function to the corresponding runner sub-domain, and setting a constant material attribute for the solid domain runner plate; a conjugate heat transfer model is started on an interface of a fluid domain and a solid domain, and interface heat flux density conservation and temperature continuity simulation is carried out; setting boundary conditions; and executing conjugate heat transfer simulation calculation until convergence calculation is completed. According to the method, the simulation precision is improved through fusion of three core technologies of dynamic change physical property fitting, solid-liquid conjugate heat transfer coupling and two-phase flow latent heat equivalent modeling.

The invention relates to a scenic spot passenger flow analysis system and a distribution method thereof, and belongs to the technical field of scenic spot management. The scenic spot passenger flow analysis system comprises a data collection module, a data cleaning module, a model construction module, a data statistics module and a data visualization module; the data collection module comprises network platform reservation system data, ticket checking system data and camera monitoring system data. The scenic spot passenger flow analysis system and the distribution method thereof are suitable for existing hot scenic spot passenger flow analysis work, the number of tourists can be simply recorded, and passenger flow data analysis can be carried out on tourist behaviors, preferences and activity rules; therefore, a reference can be provided for market promotion, an improvement direction can be provided for promotion of products and promotion services in scenic spots, managers are assisted in shunting tourist routes, and a scenic spot guide system is optimized.

Embodiments facilitate software analysis by machine learning (ML) models, through extensible software analysis architecture (ESAA) or software analysis work allocation (SAWA). Pluggable ESAA ML modules include a vetted prompt which is actionable for software analysis, with a vetting certification. Some ML modules contain computational cost information such as a token count or model round trip time. Tools are tailored to ML analyzers to control background execution, availability offerings, and results displays. SAWA determines how well a software analyzer meets a prompt's software analysis requirements, and an ML planning model generates an analysis plan that balances software analysis workloads among ML analyzers and non-ML analyzers. ML analyzers are favored for summarization, task decomposition, task scheduling, and source code change review, while non-ML analyzers are otherwise favored. Non-ML analyzers gather control flow, data flow, internal structure, and similar context which is then supplied to an ML analyzer.

The invention provides a digitalized detection system and method for the skin attribute of a large-size metal wallboard. The system is characterized in that the system comprises a binocular optical tracker (1), a fixing tool (2), a two-dimensional industrial camera (3), a three-dimensional spherical scanner (4), a multi-axis mechanical arm (5), an automatic guided vehicle (6), a software analysis work station (7) and a safety net (8), the binocular optical tracker (1) achieves full coverage of a measurement tracking view field of the large-size metal wall plate, and the fixing tool (2) is used for fixing the large-size metal wall plate. The two-dimensional industrial camera (3) and the three-dimensional spherical scanner (4) are fixed to the tail axis of the multi-axis mechanical arm (5), and the software analysis work station (7) receives collected two-dimensional data and three-dimensional data and completes analysis work. According to the invention, the difficulties of large size of a wallboard workpiece, long manual detection time, large detection error and the like can be overcome, and the digitalized detection of the skin attribute of the large-size metal wallboard is realized based on a digitalized detection technology.

The invention provides a tire contour digital holographic image scanning analysis working method and system and a medium, and the method comprises the steps: S1, starting scanning equipment, scanning an outer side tread, and then scanning a tire inner ring of an inner ring; s2, importing scanned tire data into a holographic size generation model, and executing a scanned file importing instruction to form a readable model file; s3, aligning the tire contour data, and selecting an optimal fitting measurement object to perform modulus fitting operation; s4, measuring features are selected through the list directory tree, input feature options in the menu bar are executed, a deviation vector instruction is executed, and therefore errors are adjusted; and S5, executing a report table creating instruction, selecting a feature position needing to be displayed, and generating a digital holographic image containing data of the tire contour size through a display terminal.

The invention relates to a new energy simulation model management method and device, electronic equipment and a storage medium, and relates to the technical field of power system digital simulation, and the method comprises the steps: constructing an element model library, an equipment model library and an algorithm model library; according to the electrical information and modeling precision requirements of the new energy station, indexing the element model library, the equipment model library and the algorithm model library, and constructing a new energy station model library; according to the new energy base electrical information and modeling precision requirements, indexing the element model library, the equipment model library and the new energy station model library, and constructing a new energy base model library; and formulating naming and query calling rules for the different levels of model libraries. Therefore, unified modeling management can be carried out on the new energy station project, repeated information collection and basic element modeling and analysis work are reduced, and the management and calling efficiency is improved.

The invention discloses a full-process high-throughput metallographic specimen preparation platform and method. The platform comprises a chuck storage unit, a full-automatic grinding and polishing unit, a corrosion drying and conveying unit and an operation control unit. According to the platform, a plurality of units are integrated together, sample chucks are conveyed through the truss and the truss manipulator on one conveying unit, and two clamping jaws are arranged at the lower end of the truss manipulator, so that a plurality of samples can be machined on the working platform at the same time, and assembly line operation is achieved. According to the metallographic full-process preparation technology, grinding, polishing and etching treatment can be carried out on a batch of metallographic samples, and the preparation efficiency of the metallographic samples is greatly improved. In the preparation process, only in the sample clamping work and the equipment operation work process, operation of testers is needed. Other processes do not need manual intervention, so that the labor intensity is reduced. The polishing sample which is free of any scratches and is in a mirror surface state can be prepared in batches, and a powerful sample preparation basis is provided for follow-up metallographic analysis work.

Columnar storage provides many performance and space saving benefits for analytic workloads, but previous mechanisms for handling single row update transactions in column stores suffer from poor performance. A columnar data layout facilitates both low-latency random access capabilities together with high-throughput analytical access capabilities, simplifying Hadoop architectures for use cases involving real-time data. In disclosed embodiments, mutations within a single row are executed atomically across columns and do not necessarily include the entirety of a row. This allows for faster updates without the overhead of reading or rewriting larger columns.

The invention provides a thermal power plant unit carbon emission characteristic analysis method based on a correlation technology. The analysis method comprises the following operation steps: step 1, obtaining a reference value; step 2, material accounting; step 3, field detection; step 4, correlation analysis: combining a material accounting method and an on-site detection method to carry out data analysis work; and step 5, correlation modeling: according to a result obtained in the step 4, aiming at three-dimensional characteristics of data, dividing a behavior matrix of the sample into a time dimension and an index dimension. According to the method, a material accounting method and an on-site detection method are combined to realize abnormal data discrimination, and clustering analysis is carried out by using a correlation model, so that a more accurate evaluation carbon emission index can be obtained.

The invention discloses a firmware vulnerability detection method based on differential symbolic execution, and belongs to the technical field of vulnerability detection. The method comprises the following steps: acquiring firmware images of different configurations of the same equipment, acquiring firmware images in an image set, extracting executable binary files from the firmware images of different version numbers by using a firmware extraction tool, positioning changed code snippets in the binary files, filtering difference points irrelevant to a target vulnerability type, generating a difference list, and storing the difference list in a database; the difference points in the difference list are mapped into a symbolic execution engine, the marked difference points are subjected to priority ranking, a priority ranking set is established, a binary analysis test model is established, the difference points in the priority ranking set are obtained, differentiation analysis is carried out, and a differentiation analysis result is obtained; locating vulnerabilities according to the differentiation analysis result to generate a vulnerability report. According to the method, potential vulnerabilities and security problems can be found more quickly and accurately, unnecessary analysis work is reduced, and powerful support is provided for security protection of equipment.

The present invention provides a test method for studying the shear mechanical properties of rock structural surfaces in combination with photoelastic tests, based on a photoelastic test platform and a direct shear instrument, the direct shear instrument comprising a base unit, a loading unit, a data monitoring and acquisition unit, a control unit and a shear box. The test method comprises the following steps: 1. Adjusting the direct shear instrument and installing the sample; 2. Adjusting the position of the shear box and preparing for the test; 3. Presetting target parameters and selecting a loading mode; 4. Applying a load and collecting test images and data; 5. Returning the direct shear instrument to its original position after the test and saving the data; 6. Image and data analysis. The test method can observe the changes in the stress field and strain field of the sample during the test in real time according to the collected stress optical images, loads, displacements and other test data, combined with preset target parameter values, draw corresponding load-displacement curves, and analyze the influence of different loading conditions on the shear mechanical properties and deformation characteristics of the rock structural surface.

The invention provides a creative video understanding and analyzing system and a creative video understanding and analyzing method, which relate to the technical field of image video processing and adopt a collaborative architecture formed by sequentially connecting intelligent agents in five stages of video sub-mirror identification, video outline extraction, creative factor analysis, shooting logic induction and audio rhythm analysis in series. The full-process end-to-end automatic analysis and generation of the creative videos from original input to structured creative video scripts are realized, and through professional division and collaboration of multiple agents, deep mirror segmentation, plot logic carding, creative bright spot extraction, shooting technique induction and sound and picture rhythm matching of the videos can be automatically completed; according to the method, manual analysis work which needs multi-field experts to consume several hours and even several days originally is compressed to be completed in minutes, the creative video generation efficiency is improved, the professionality and consistency of output results in the aspects of mirror splitting, narration, vision and audio are guaranteed, and the manpower and time cost of advertisement creative analysis and script generation is reduced.

The invention discloses an automatic and high-flux integrated device for sample detection pretreatment of a gas chromatograph, and relates to the technical field of detection equipment, the automatic and high-flux integrated device comprises a gas chromatograph main body and a shell, one end of the gas chromatograph main body is fixedly connected with the shell, the top end of the shell is fixedly connected with a placing rack, a weighing mechanism and an extraction mechanism, and the placing rack is fixedly connected with the gas chromatograph main body. One end of the extraction mechanism is communicated with a liquid separation mechanism, a liquid outlet is formed in the inner side of the shell, one end of the shell is rotatably connected with a second door plate, and a waste liquid box is placed on the inner side of the shell. After sample treatment is completed, the device can automatically execute a cleaning procedure without manual intervention, and due to the high-automation design, the automation level of the device is remarkably improved, the overall detection efficiency is greatly improved, and powerful support is provided for experimental analysis work.

The invention provides an engineering quantity list processing method and system based on double analysis and correction, and relates to the technical field of data processing, and the method comprises the steps: obtaining an engineering quantity list; carrying out electronic version conversion on the paper version engineering quantity list; extracting a plurality of identification engineering categories of the target engineering quantity list and the identification engineering quantity of each identification engineering category based on a target detection algorithm; extracting an initial text of the target bill of quantity in combination with a Bayesian algorithm; performing semantic analysis on the initial text in combination with a large language model taking dynamic context lexical elements as input data, and outputting a semantic text of a target bill of quantity; aligning each identification project category and each analysis project category to a target entity; comparing the identification work amount and the analysis work amount which belong to the same target entity; and under the condition that the comparison results are consistent, outputting the semantic text as an engineering quantity list processing result, otherwise, marking a comparison difference result in the semantic text. And the compiling efficiency and accuracy of the bill of quantity are improved.

According to the product reliability analysis method and device, the electronic equipment and the storage medium, the functional parts of the product are decomposed according to the working stages, clear functional module division is formed, and the analysis precision is ensured. Through identification and combination of working state units of all the function modules, basic function units are constructed, and internal logic of product functions is further revealed. On the basis, the function transmission relation between basic function units is determined, a function implementation model of the product is constructed, an effective basis is provided for reliability simulation analysis, the effectiveness of reliability analysis work is ensured, reliability is considered in the product function design stage, and the reliability analysis efficiency is improved. The effectiveness of reliable work is guaranteed, potential quality risks can be effectively avoided, and the product quality is ensured.

The invention provides a closed-loop analysis optimization method for an acoustic subsurface buoy system, and belongs to the technical field of marine monitoring system optimization. According to the method, a mode of combining overall static force calculation, VIV characteristic calculation, local CFI calculation and FW-H acoustic ratio simulation calculation is provided, and analysis on the influence of the VIV characteristics of the subsurface buoy system, the self noise of the hydrophone and the noise of other hydrophones is achieved; according to the method, the problem that CFI numerical simulation cannot be directly carried out on the whole is solved, and static characteristic and whole VIV characteristic calculation is carried out on the system so as to carry out local CFI numerical simulation and FW-H acoustic ratio simulation calculation; the whole calculation process can be circularly optimized for multiple times. According to the method, the analysis work of each part is considered as a whole, an organic overall closed-loop system is formed, multiple times of cyclic optimization can be carried out according to the index requirements of the subsurface buoy system, and the optimal design of the acoustic subsurface buoy system is achieved.

The invention belongs to the technical field of digital diagnosis, and discloses an enterprise digital diagnosis platform and a use method thereof, and the platform comprises a diagnosis management user unit which is used for carrying out the comprehensive management of a management user based on the enterprise diagnosis information; the enterprise user diagnosis unit is used for analyzing the diagnosis task of the enterprise user and providing diagnosis service and personalized support for the enterprise user according to the diagnosis task; the business authority management unit is used for defining the function access range of the enterprise user and the management user, and performing unified management on the function authority of the enterprise user and the management user based on the function access range; and the user role management unit is used for constructing a diagnosis management role and a diagnosis enterprise role. The method focuses on maintenance of global data, distribution of diagnosis tasks and comprehensive analysis, so that efficient organization and coordination of platform resources are facilitated, and stable operation of the platform and smooth development of enterprise diagnosis work are ensured.

The invention relates to the technical field of building construction, and discloses a hoisting path planning method, device, computer equipment and storage medium, including: obtaining working condition data of the initial point of the hoisting object, lifting equipment data and obstacle data in the area where the lifting equipment is located; traversing the working condition points in the area where the lifting equipment is located based on the working condition data of the hoisting object, the lifting equipment data and the obstacle data in the area where the lifting equipment is located; taking the coordinate point position of the working condition point that meets the hoisting condition as the feasible point in the area where the lifting equipment is located, and taking the direction of the working condition point as the feasible direction in the area where the lifting equipment is located; based on the feasible points and feasible directions in the area where the lifting equipment is located, determining the optimal hoisting path of the hoisting object from the initial point to the location. The invention greatly reduces the calculation workload, improves the efficiency of hoisting analysis work, ensures the accuracy of calculation, improves safety, improves the construction quality of the project engineering, and makes hoisting safer.

The utility model relates to the technical field of cold box interlayer gas oxygen content analysis, in particular to a cold box interlayer gas oxygen content on-line analysis device which comprises a sampling pump, a three-way electromagnetic valve, a pretreatment box, an analysis instrument and a control system, wherein the sampling pump is used for pressurizing and introducing interlayer gas of the cold box into the analysis device; the analysis instrument is used for analyzing the oxygen content in the pretreated gas; the three-way electromagnetic valve is arranged between the sampling pump and the analysis instrument and is used for remotely switching and analyzing the waste nitrogen and the cold box interlayer gas; the pretreatment box is connected between the three-way electromagnetic valve and the sampling pump. Through remote switching of the three-way solenoid valve and automatic logic setting of the DCS, online intelligent analysis of the oxygen content of the interlayer gas of the cold box is achieved, and the analysis accuracy and efficiency are improved; and an operator can finish the analysis work of the waste nitrogen and the interlayer gas of the cold box without frequently and manually switching an analysis instrument, so that the operation burden is reduced.

The invention relates to the technical field of abnormal behavior detection, in particular to a screening method, system and device for predicting abnormal behaviors of personnel in an enterprise and a medium. According to the method, under the condition that a large number of employees in an enterprise use personal computers, feature extraction is carried out by taking working behaviors of the employees as original data, frequency / duration feature data and text feature data are extracted as complete original features, and multivariate time series prediction is carried out by adopting factorization time and channel mixing. Finally, the difference between prediction and reality is compared to serve as preliminary screening for judging whether abnormal behaviors exist in work or not, a security analyst can conduct analysis, the security analyst does not need to conduct whole data screening, and the analysis work of the security analyst is greatly reduced.