162 results about "Analysis working" patented technology

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.

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 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 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.

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 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 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 discloses an energy data classification and grading method, system, equipment and medium based on a BERT model, and relates to the technical field of power system data grading and classification, and the method comprises the specific steps: making a data classification and grading rule, collecting a data set, carrying out the preprocessing of the data set, constructing an energy data classification and grading model, and carrying out the classification and grading of the energy data according to the data characteristics of the energy industry; and inputting the preprocessed data set, evaluating and optimizing the model, and executing an energy data classification and grading task according to the model. The method does not need to depend on traditional manual rules or tedious feature engineering, and is suitable for classification and grading scenes of massive and multi-type energy data of an energy big data center. The method has the advantages of being high in energy data classification and grading efficiency, high in recognition precision, adaptive to energy industry data characteristics and low in operation and maintenance cost, and can effectively support subsequent data processing and analysis work of an energy data center.

The present invention discloses a method, system, and device for mouse event interaction based on a general gyroscope, belonging to the technical field of mouse event interaction. The method includes the following steps: monitoring the output data of the gyroscope in a stationary state, and processing the output data of the gyroscope in a stationary state to obtain an evaluation value of the static offset degree of the gyroscope; collecting the output data of the gyroscope, and performing initial data calibration on the output data of the gyroscope according to the evaluation value of the static offset degree of the gyroscope; monitoring the working environment data and the working state data of the gyroscope, comprehensively analyzing the working environment data, the working state data, and the evaluation value of the static offset degree of the gyroscope to obtain an evaluation value of the dynamic offset degree of the gyroscope.

The invention discloses a log parameter semantic analysis method and device and a storage medium. The method comprises the steps of obtaining initial log data; extracting a target log parameter in the initial log data, and determining a target clustering template corresponding to the target log parameter; determining N candidate tags corresponding to the target log parameter according to the initial log data, the target clustering template and a first preset large language model; based on the N candidate tags, determining the similarity between the target log parameter and m-1 log parameters to obtain m-1 tag similarities; and determining a target tag according to the target clustering template, the N candidate tags, the m-1 tag similarities, the m-1 log parameters and a second preset large language model. By adopting the embodiment of the invention, the efficiency of log analysis work is improved.

The utility model relates to the technical field of liquid medicine analysis, and discloses a full-automatic line body liquid medicine analysis system which comprises a supporting foot device, a fixing rod is fixedly connected to the top of the supporting foot device, a color recognizer is fixedly connected to the outer wall of the fixing rod, a sliding block is connected to the outer wall of the fixing rod in a sleeved mode, a screw rod fixator is connected to the inner wall of the sliding block in a sleeved mode, and the screw rod fixator is connected with a screw rod. According to the full-automatic line body liquid medicine analysis system, through mutual cooperative use of the experiment cup, the burette and the color identifier on the device, after pure water, a bromophenol blue indicator and a titrating solution are added into an inner cavity of the experiment cup on the device, the titrating solution is added into the inner cavity of the experiment cup, so that the titrating solution is separated from the inner cavity of the experiment cup, and the titrating solution is separated from the inner cavity of the experiment cup; the color recognizer is used for automatically detecting the color change in the inner cavity of the experiment cup, and the pump body connected with the other side of the burette is used for transmitting data to the system, so that the system automatically calculates the concentration of Na2CO3, and the liquid medicine analysis work is completed.

The invention discloses a rock core CT image crack segmentation method and device based on deep learning. The method comprises the following steps: making a training data set; expanding the number of training samples in the training data set to form a new data set; a deep learning network model is constructed, the deep learning network model comprises a U-Net network, a contraction path for feature extraction in the U-Net network adopts a feature extraction network based on a VGG-16 network, and an up-sampling expansion path in the U-Net network is added with a CBMA attention module. The CBMA attention module is used for changing the attention of the model to different spatial positions and different channels in the feature map and improving the weight of the area where the rock core crack is located; performing training and parameter adjustment on the deep learning network model by using the training set until the model converges; and testing the trained deep learning network model by using the test set, and evaluating the crack segmentation effect of the deep learning network model. According to the invention, the efficiency of rock core CT image automatic analysis work can be improved.

The invention discloses an intelligent fault tree generation method based on cooperation of a multi-modal large model and a large language model, and relates to the field of fault tree analysis. In order to solve the defects of low tree building efficiency, insufficient cross-modal information processing and incomplete fault causal chain reasoning in the prior art, the technical scheme provided by the invention comprises the following steps: carrying out topological structure analysis on a system flow chart by adopting a multi-modal large model to obtain an equipment network table; taking the equipment network list as input, and performing fault mode directional retrieval on the equipment information base by adopting a large language model to obtain a fault mode list; taking the equipment network list and the fault mode list as input, performing failure reason reasoning by adopting a large language model, and establishing a fault causal chain from a system layer to an equipment layer; and taking the fault causal chain as input, constructing a fault tree by adopting a large language model, and generating a complete fault tree structure from a system top event to an equipment basic event. The method is suitable for safety and reliability analysis work of a complex industrial system.

The invention relates to the technical field of petrochemical engineering analysis, and provides a form analysis method and system for sulfides in a sulfuric acid alkylation working solution, and the analysis method comprises the following steps: S1, sample collection and pretreatment; s2, carrying out derivatization reaction; s3, separating and detecting; s4, data processing and analysis; the system comprises a sample pretreatment module, a derivatization reaction module, a separation detection module and a data processing and analysis module, and the analysis method provided by the invention can accurately and quickly analyze the forms and contents of various sulfides in the working solution, is high in sensitivity and accuracy, simple, convenient and quick to operate, has good universality and expansibility, and can be widely applied to industrial production. The method is suitable for qualitative and quantitative analysis of various sulfide forms in the field of petrochemical engineering, and has important industrial application value.

The technical scheme of the present application discloses a kidney transplantation single disease follow-up database system based on a hospital intranet environment, comprising a data integration layer, an intelligent analysis layer and a doctor-patient linkage layer. Through the cooperative operation of the three-layer technical architecture designed by the present application, the three core problems of the prior art are comprehensively solved, and the following technical effects are achieved: at the data integration level, automatic and real-time integration of multi-port medical data of kidney transplantation patients is realized, the data integration efficiency is improved by 90%, the accuracy rate reaches 99.5%, and the traceability and privacy security are significantly improved; at the data analysis level, the AI-driven analysis model realizes automatic generation of patient whole-cycle health reports, large-sample group feature mining and real-time abnormality early warning, and the doctor data analysis workload is reduced by 80%, and the abnormal data response time is shortened to the minute level.

The invention provides a goaf intelligent drilling system and method. The goaf intelligent drilling method comprises the following steps that datum holes and engineering holes are formed in an exploration area according to a preset proportion; a rock core sample is obtained through datum hole construction; various parameters are collected in real time in the construction process; a convolutional neural network model is constructed, and the mapping relation between the drilling parameters, the image features, the stratum physical property parameters and the logging data and the geological database is established; constructing a geological reference database; engineering hole drilling construction is carried out, and various data are collected in real time in the construction process; inputting a neural network model, and carrying out lithology identification, stratigraphic division and mining-induced fracture prediction analysis work; constructing a three-dimensional geologic model based on mining data, drilling results, fusion logging data and lithology inversion results; and predicting the drilling efficiency. And the abnormal drilling fluid consumption, pressure fluctuation and vibration spectrum characteristics are analyzed, so that accident advanced early warning is realized. According to the system and the method, the exploration efficiency is remarkably improved, and in-hole accidents can be early warned through abnormal drilling parameters.

The invention discloses a numerical simulation method and device and a structure optimization method. The method comprises the following steps: determining parameters of a geometric structure of the surface shape thermoelectric generator, and constructing a geometric model of the surface shape thermoelectric generator; constructing a material attribute function corresponding to the temperature-related material corresponding to the geometric structure, and associating the material attribute function with the corresponding geometric structure; drawing grids for the geometric model by adopting a first predetermined method in combination with the physical field; globally defining output characteristics of the geometric model, and calculating by adopting a second predetermined method to obtain a temperature field and current field distribution rule of the geometric model; and performing parametric simulation on the output characteristics according to the distribution rules of the temperature field and the current field to obtain the optimal output power and the optimal energy conversion efficiency corresponding to the geometric model under the current working condition. Thus, the optimal output power and the optimal energy conversion efficiency can be simulated only by changing the parameters of the geometric structure, the working efficiency is high, the simulation and analysis workload is small, and operation of multiple tasks is facilitated.

A closed-loop control method and apparatus. The method comprises: receiving a first request, the first request comprising a first closed-loop work object, and the first request being used for requesting to create an instance of the first closed-loop work object; on the basis of the first closed-loop work object, creating an instance of a first analysis work object, wherein the first analysis work object is used for sending a second request to a management data analytics function (MDAF); on the basis of a first analysis report corresponding to the second request, updating the instance of the first analysis work object; on the basis of the instance of the first analysis work object, creating an instance of a first execution work object; and replying to a first response, wherein the first response comprises instance information of the first closed-loop work object. By means of the method and apparatus, closed-loop control can be realized in a wireless communication system.

The invention discloses a power investment modeling system, and relates to the technical field of power investment modeling system design, and the system comprises an application layer which is used for processing system-level function and business service coordination; the data layer is responsible for storage, management and efficient access of various data, and the data layer is connected with the application layer; the infrastructure layer is used for providing technical basic support required by system operation, and the infrastructure layer is connected with the data layer; the service layer is used for realizing core logic and a calculation model of the power investment business, and the service layer is connected with the infrastructure layer; through data driving and a professional model, an experience decision is converted into quantitative analysis, scientization and precision of investment decision are achieved, and the investment success rate and the risk resisting capacity are remarkably improved; through automatic process integration, the analysis work of several weeks is shortened to the hour level, automation and intelligentization of the whole process are achieved, the analysis efficiency is improved, and rapid market decision and response are supported.

The utility model discloses a Coriolis force effect demonstration device based on double visual angles, and belongs to the technical field of Coriolis force effect demonstration devices. Comprising a small ball for simulating a mass point; a base; a horizontally arranged rotating assembly is arranged on the base plate; a supporting plate is horizontally arranged on the rotating assembly; a simulation disc is horizontally arranged on the supporting plate, and the top surface of the simulation disc is provided with a paraboloid. The driving assembly drives the rotating assembly to rotate, the supporting plate is driven to rotate, and then the simulation disc is driven to rotate. Wherein the top surface of the simulation disc is provided with a paraboloid, so that simulation of an earth rotation environment is realized. When the Coriolis force effect demonstration device is used, the driving assembly drives the simulation disc to rotate, then the small balls are placed in from the edge of the simulation disc at a certain speed, the small balls are affected by Coriolis force, the motion trails of the small balls are changed, and therefore the purpose of Coriolis force effect demonstration is achieved. And the image or video data of the motion trail of the small ball on the simulation disc is acquired by the camera assembly, so that subsequent comparative analysis work is facilitated.

We provide the system. [Solution] A device for analyzing visual and auditory information collected in the work environment, A device that identifies tasks that can be automated based on the aforementioned analysis, A device that proposes an optimal automation method for the aforementioned task, A system that includes this.

The utility model discloses a facial emotion monitoring and analyzing device, which comprises a monitoring device main body, a data switch, a data analyzing computer and a main monitoring camera, and is characterized in that the monitoring device main body comprises a fixed mounting base, a disc is arranged at the top of the fixed mounting base in an electric driving manner, and support frame plates are arranged on two sides of the top of the disc; a main frame is arranged on the top of the inner side of the supporting frame plate, an auxiliary frame is arranged on the inner side of the main frame, a first electric push rod for driving the auxiliary frame to be vertically adjusted is arranged on the top of the main frame, an auxiliary monitoring camera is arranged on the inner side of the auxiliary frame, and a second electric push rod for driving the auxiliary monitoring camera to be transversely adjusted is arranged on one side of the auxiliary frame. Compared with the prior art, the face emotion monitoring system has the advantages that an identified person is anchored and monitored through the main monitoring camera, then the auxiliary monitoring camera with the adjustable top is matched to capture tiny shaking of the identified person, and therefore face emotion monitoring analysis work can be conducted on the identified person to the maximum extent.

The embodiment of the invention provides a log analysis and risk analysis method and system. The method comprises the following steps: pre-compiling a rule configuration file to generate a regular object, and storing the regular object in a pre-compiled rule list; wherein the regular object is packaged with a plurality of fields; performing log format adaptive analysis on the to-be-analyzed data source text to generate a log message; cyclically traversing the rule list, searching content matched with the regular object in the to-be-analyzed data source text so as to filter repeated results and determine to generate alarm description; constructing the log message and the alarm description into a de-duplicated data pair; performing cache check operation on the data pair to generate a first cache result; performing prediction operation on the data pair batch calling AI model to generate a second cache result; and generating a prediction result based on the first cache result and the second cache result. The problem that the efficiency of log analysis and risk analysis work is low in the prior art is solved.

Apparatuses and methods relating generally to mass spectrometry are disclosed. In a method, information regarding a sample is obtained. Theoretical masses of constituent elements of the sample are determined. Experimental data for the sample using mass spectrometry is obtained. Peak areas for the experimental data are determined. The peak areas and the theoretical masses are compared to determine percentages of peak areas. In an apparatus hereof, a storage device storing instructions that when executed by a processor cause the processor to provide for display of an interactive graphical user interface (“iGUI”). The iGUI includes: a laboratory inventory management system module configured for managing projects, samples and inventories; an electronic lab notebook module in communication laboratory inventory management system module; a platform module in communication with the electronic lab notebook module; and the platform module provides access to a set of analytical workflows and a set of intelligent tools.

The invention provides an airborne software structure incremental coverage rate analysis system and analysis method. The airborne software structure incremental coverage rate analysis system comprises a self-adaptive baseline management module, a change influence domain analysis module, an incremental coverage rate calculation module and an automatic report generation module. The method comprises the following steps: establishing a tracing relation among requirements, codes and use cases, capturing code version change to construct a change influence domain, carrying out change difference analysis in combination with historical version coverage rate data, identifying and running use cases which need to be additionally and independently executed in a current version, and obtaining a newest code structure coverage rate. And a coverage rate analysis report can be automatically updated and generated. By applying the analysis system and the analysis method, the technical bottlenecks in the aspects of large coverage analysis difficulty of an airborne software verification structure, redundant analysis work and the like can be solved.

The utility model relates to the technical field of ham harmful ingredient detection, and discloses a ham harmful ingredient detection and analysis device which comprises an operation table, a placing table fixedly connected to the top of the operation table, a supporting pad fixedly connected to the top of the placing table, a solution bottle arranged at the top of the supporting pad, and two square grooves formed in the placing table. A first sliding plate is arranged in the placing table, guide grooves are formed in the two ends of the first sliding plate, sliding rods are arranged in the guide grooves and slidably connected with the first sliding plate, a square plate is fixedly connected to the tops of the sliding rods, the square plate is arranged in the square groove, and the two first guide rods are arranged on the square plate in a penetrating mode; the square plate is slidably connected with a first guide rod which is fixedly connected with the placing table, and the top of the square plate is fixedly connected with a clamping plate. The device is simple to operate, a solution bottle can be conveniently fixed and unfixed, the stability of the solution bottle during mixing can be ensured, and the normal detection and analysis work can be ensured.

The invention relates to detection and analysis equipment, in particular to functional integration test equipment for a polyaluminum chloride water purifying agent and a method of the functional integration test equipment. A placement cavity is formed in the test equipment main body, a supporting bottom frame is fixedly arranged on the bearing seat, and the supporting bottom frame is connected with the detection auxiliary mechanism; mainly through the cooperative use of the arranged detection auxiliary mechanism and the supporting bottom frame, on one hand, reactants in a plurality of containing cup bodies can be stirred at the same time, the operation convenience of workers is improved, and then the positive influence on the improvement of the detection and analysis work efficiency is achieved; on the other hand, different amounts of polyaluminum chloride water purifying agents are added into different containing cup bodies, the optimal required amount of the polyaluminum chloride water purifying agent is confirmed through contrastive analysis, or the same amount of polyaluminum chloride water purifying agent is added to purify different water quality, and multiple groups of detection analysis can be carried out at the same time; the actual detection and analysis work requirements can be better met.

The application discloses a kind of distributed systems, and its fault test method, device and medium, it is related to distributed system technical field, for realizing the fault test of distributed system, for the fault superposition problem that traditional fault test scheme is difficult to solve, provide a kind of distributed system fault test method, client / server architecture is adopted, the independent fault test of each node can be realized, whether the fault cause and fault processing meet the expectation are all in-depth to each node, so as to effectively avoid the problem that the fault between multiple nodes is difficult to judge because of superposition. Based on this, the fault test of distributed system is carried out by the method, can improve test efficiency and accuracy, so as to be favorable to improve the software quality of distributed system, reduce maintenance cost, reduce the additional analysis workload of development.

The utility model discloses a multi-position sequence sample injector in the technical field of gas analysis, and aims to solve the problems that an analyzer in the prior art can only analyze one gas sample each time, the sample injection amount of the gas sample cannot be randomly set, the working efficiency is low, the analysis cost is high, and the gas samples in different states are inconvenient to analyze. The pressure reducing valve comprises a pressure reducing valve and a multi-position switching valve, a liquid gas inlet is formed in the input end of the pressure reducing valve, the output end of the pressure reducing valve is connected with the input end of the constant-temperature vaporizing chamber, and a first gas inlet, a gas outlet and a plurality of second gas inlets are formed in the multi-position switching valve; according to the utility model, different gases can be input into the analyzer for analysis work, so that the mixing phenomenon of the different gases is avoided, the analysis result of the analyzer is ensured, different gas sample injectors do not need to be replaced, and the injection pump is adopted, so that the sample injection amount of the gases can be freely set; meanwhile, the device can be suitable for analysis work of liquid gas and gaseous gas.