46 results about "Form analysis" patented technology

The invention relates to the technical field of disaster monitoring, in particular to a mine inrush water image processing system based on AI recognition, which comprises a fissure water flow tracking module, a voiceprint disturbance extraction module, an acceleration mapping module, a form analysis module and a risk output module. According to the method, a fine voiceprint perturbation sequence is formed by extracting crack water flow boundary pixel coordinates from continuous frame images, accurately capturing water flow micro-displacement and generating a deviation track in combination with an inter-frame difference between a gray gradient amplitude and a direction angle, and synchronously extracting a liquid level perturbation wave crest position and a voiceprint primary and secondary frequency amplitude difference; the acceleration is calculated according to the pixel displacement speed and mapped to a time axis, so that the boundary movement trend and morphological change are synchronously analyzed in the time dimension, risk frame locking is completed by multi-source signals in the same time period under double-threshold judgment, and three-dimensional presentation of the water flow dynamic state is achieved. The accuracy and reliability of sudden water gushing risk judgment in a complex mine environment are remarkably improved, and the probability of missing detection and misjudgment is reduced.

The invention discloses a water pollution cross-domain traceability method based on multi-chain collaboration and stable isotope source analysis, and relates to the technical field of water environment monitoring, the method comprises the following steps: pollution source chemical fingerprint construction: collecting an environmental water sample and a potential pollution source sample in a drainage basin; adopting a mass spectrometer to detect stable isotope compositions such as delta 13C, delta 15N, delta 18O and the like in the pollutants; and performing morphological division on the pollutants by using a morphological grading extraction technology. Homology judgment precision is greatly improved through isotope and morphological analysis; cross-chain credible collaboration is achieved, multi-party data interaction is achieved, and timeliness and accuracy of pollution tracing are guaranteed; the space-time model traceability is combined with an evolution path and gridding mapping, so that the pollution inversion accuracy is improved; and ecological compensation support provides a quantitative basis for pollution intensity and diffusion range so as to support a compensation model.

The invention discloses a thin coal seam working face monitoring method and system based on computer vision, and relates to the field of thin coal seam working face clamping plate monitoring. According to the method, continuous tracking and dynamic feature extraction of the three-dimensional form of the splint are realized by combining multi-source visual data fusion with a time sequence form analysis modeling method. Specifically, a structured light depth camera, an RGB camera and a thermal infrared imager are utilized to obtain morphological characteristics of a clamping plate in different dimensions, and a three-dimensional model with spatial consistency is constructed through fusion; and a morphological risk function is constructed in combination with curvature change, top height difference and time continuity characteristics, so that quantitative, dynamic and real-time evaluation of the clamping plate disengagement risk is realized, and the system can judge potential risks in advance in the early deformation stage of the clamping plate.

The invention relates to the technical field of software engineering and artificial intelligence, and discloses a high-credibility programming agent system and method based on a large model and a formalization method. A high-credibility programming agent system based on a large model and a formalization method comprises an agent core module used for providing common perception, memory, decision and execution capabilities for various professional agents; the multi-agent cooperation module is constructed on the agent core module and comprises a coding agent, a form analysis agent and a form verification agent; the coding agent is responsible for generating, complementing, reconstructing and optimizing program codes based on natural language requirements or contexts. The system realizes full-process automation from demand understanding to code generation, analysis, verification and restoration through autonomous planning and multi-task execution capability of the intelligent agent, reduces manual intervention links, and remarkably shortens the development period.

The invention relates to the technical field of pipeline construction monitoring, and discloses a tunnel landslide mass form analysis system and method based on multi-dimensional data fusion, and the system comprises a data collection module, a data analysis module and an early warning release module. The method corresponds to the system. According to the method, the precision and the reliability of landslide mass deformation prediction are improved by adopting a decomposition prediction method of the displacement component; through weighted fusion of a multi-modal neural network model and a strength reduction method, a stability evaluation result has high precision of machine learning and strong interpretability of a physical model; by establishing joint inversion of multi-source exploration data and real-time monitoring data, the accuracy and reliability of the digital twin are improved; by constructing a complete technical chain from data acquisition, fusion analysis to early warning release, cooperative monitoring and early warning of slope stability and pipeline safety state are realized, and whole-process and integrated safety guarantee is provided for gas pipeline tunnel construction.

The application discloses a pavement paving speed control method and device, and relates to a pavement paving machine.The method comprises the following steps: S01, collecting paving operation data in real time, specifically, collecting surface form images of paving pavement, real-time paving resistance and asphalt mixture temperature data by means of an image sensor, a resistance sensor and a temperature sensor; S02, fusing and checking the collected data to generate comprehensive pavement state data; S03, based on the surface form images, performing pavement flatness and surface defect detection to generate form analysis results containing defect types, positions and sizes; S04, based on the paving resistance data after temperature compensation, analyzing resistance change rate and trend to generate resistance analysis results; S05, receiving the form analysis results and the resistance analysis results, combining real-time paving speed and preset process parameters, and dynamically deciding according to a defect and resistance correlation model to generate a control instruction set for adjusting feeding speed and paving speed.The application realizes a leap from passive reaction to active prevention, significantly improves the uniformity and forming quality of pavement paving, and greatly enhances the self-adaptive ability and construction efficiency of the system through multi-target collaborative optimization and online self-learning.

The invention discloses a supply chain service rule verification system and method, a medium and equipment, and relates to the technical field of supply chain management. The system comprises a dynamic form analysis module which is used for configuring a business rule through a visual interface, deriving a dependency relationship based on form field attributes and generating a field dependency graph which can be executed by a machine; the asynchronous calculation engine is used for receiving the field dependency graph, distributing tasks to the main thread and the Web Worker thread pool for parallel processing, pushing results and states to the rule visualization and intervention module and updating a user interface; and the rule visualization and intervention module is used for monitoring the node state and the data flow direction of the field dependency graph, providing a manual intervention interface and performing dynamic operation on the task in execution. The method introduces low code configuration, depends on automatic derivation, parallel computing and visual monitoring, significantly improves the efficiency and accuracy of business rule verification, and provides a solid technical basis for intelligence and automation of a supply chain management system.

The invention provides an evaluation method for rapidly predicting the formability of a plate. The evaluation method comprises the following steps: S1, preparing a standard dumbbell-shaped uniaxial tensile sample; s2, preparing a plane strain tensile sample; s3, performing uniaxial tension on the standard dumbbell-shaped uniaxial tension sample; s4, performing uniaxial tension on the plane strain tensile sample; s5, calculating abscissa and ordinate values of three key feature points in the forming limit curve according to the material thickness t, the first correction coefficient and the second correction coefficient; s6, correcting the numerical value of the ordinate in the key feature point by using the first correction coefficient and the second correction coefficient to obtain a corrected ordinate; s7, drawing a forming limit judgment curve; and S8, the forming limit judgment curve is input into finite element simulation analysis software. The method greatly improves the analysis efficiency and prediction precision of the formability of the sheet metal, is especially suitable for the occasion of forming analysis of metal sheet parts, and widely meets the application requirements of engineering practice and scientific research work.

This invention provides a press forming analysis method, a press forming analysis apparatus, and a press forming analysis program that can predict press forming loads in advance, even for new part shapes and materials. [Solution] The press forming analysis method according to the present invention is a press forming analysis method that predicts the press forming load using a die model 9 having an upper die model 11 and a lower die model 17 modeled with shell elements, using the finite element method, and includes: an elastic element-attached lower die model creation step S1 in which the lower structure 7 of the press device is modeled with elastic elements 15 and attached to the lower die model 17 to create an elastic element-attached lower die model 13; an elastic modulus determination step S3 in which the elastic modulus to be applied to the elastic elements 15 is determined; and a press forming load acquisition step S5 in which press forming analysis is performed using the die model 9 including the elastic element-attached lower die model 13 modeled in the elastic element-attached lower die model creation step S1, and the press forming load is obtained.

The invention relates to the technical field of data visualization, in particular to a salinization monitoring data visualization method and system, and the method comprises the following steps: collecting sensor and remote sensing salinity information, unifying the spatial position, forming a salinity spatial data layer, analyzing the distribution sequence and morphological characteristics of the salinity in a unit, and determining the salinization monitoring data. And identifying structure change, constructing a staged evolution sequence, judging an early warning level in combination with a time difference and a space communication relationship, and generating a risk distribution and closed boundary visualization result. According to the method, unified spatial organization is carried out on multi-source salinity information in a geographic unit, and an expression result capable of reflecting internal structure characteristics is constructed in combination with position sequence and distribution form analysis, so that salinity change is converted into spatial structure evolution from discrete numerical values, and an evolution stage is clear through continuous monitoring period comparison; the risk level is combined with the spatial communication relationship, stable region identification and boundary closed expression are realized, and the continuity, definition and interpretability of salinization risk presentation are improved.

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 invention relates to the technical field of mode recognition, and particularly discloses an intelligent detection system for the vertical expansion range of a hydraulic fracturing fracture based on fluorescence tracing. The system comprises an underground fluorescence signal acquisition module, a front-end lightweight preprocessing and feature extraction module, a rear-end high-precision crack form analysis module, a self-adaptive frame rate regulation and calculation resource scheduling module and a real-time feedback and visual output module. According to the invention, a cooperative computing architecture in which a front-end lightweight preprocessing and feature extraction module and a rear-end high-precision crack form analysis module are separated is constructed, and a self-adaptive frame rate regulation and computing resource scheduling module is introduced to carry out dynamic resource management; and the processing load of the high-frame-rate video stream is decoupled and redistributed creatively in space and time dimensions. The front-end module greatly reduces the instant processing complexity of single-frame data by using a lightweight convolution kernel, and ensures the real-time response capability of high-frame-rate input.

This application relates to the field of intelligent assisted calculation and shell spring metal forming technology, and provides a method and system for intelligent calculation and prediction of springback in hyperbolic aluminum plates. The method includes: automating the setting of forming analysis strategies in finite element analysis software; collecting stress data and amplitude data of the aluminum plate in the Z direction to generate an analysis file; automatically processing the analysis file using a series of pre-written restart analysis scripts to obtain the Z-direction displacement of each point on the hyperbolic aluminum plate after springback; using the automatically processed results, the corresponding pre-simulation coordinates, and the material parameters during analysis as input data to train a neural network model; setting material parameters and inputting coordinate data tables; and outputting the coordinate correction results of each point on the hyperbolic aluminum plate based on the trained neural network model, thereby achieving the prediction and correction of springback errors in the hyperbolic aluminum plate. This represents a leapfrog upgrade in hyperbolic aluminum plate springback analysis from "manual trial and error" to "intelligent prediction."

The invention relates to the technical field of data recovery, in particular to a network disconnection data reconnection recovery method and system, and the method comprises the steps: obtaining integrated form information and user network information, determining whether a network applied by a user has disconnection abnormity or not according to the user network information, and if yes, generating and sending network abnormity information, and performing form analysis processing on the form information input by the user and the form information not input by the user to obtain a first data form and a second data form. After a submission instruction triggered by a user is detected, first form data and second form data are collected, the first form data are input into the first data form, the second form data are input into the second data form, and a first reference form and a second reference form are obtained. And after the network information of the user is recovered to be normal, performing form perfection on the form information input by the user and the form information not input by the user. According to the invention, the accuracy and integrity of data recovery processing are improved.

This invention provides a highly sealed, shielded, automated sample introduction system for analyzing the surface chemical morphology of radioactive samples, relating to the field of radiation shielding technology. It solves the technical problem that existing shielding devices cannot provide comprehensive protection throughout the entire process of radioactive sample transport, introduction, and detection. The invention includes a first shielding enclosure and a second shielding enclosure. The first shielding enclosure is equipped with an auxiliary transport system and a control system. The control system includes a pretreatment control system and a detection control system. The auxiliary transport system includes a shielded transport system for transporting samples to the first shielding enclosure and an auxiliary transport system for feeding and removing samples from the pretreatment enclosure. This invention effectively shields radiation while facilitating operation. Furthermore, due to its superior sealing, it reduces interference from external environmental factors during detection, thus improving the accuracy and stability of the detection.

The invention relates to the field of artificial intelligence and electronic design automation, in particular to a form and logic separated gridding circuit diagram labeling method, which comprises the following steps of: 1, importing circuit data; 2, form and logic decoupling is carried out; step 3, data storage and optimization; and step 4, outputting an analysis result: step 1, extracting vector data from the EDA tool or the circuit diagram. According to the method, layout optimization is carried out through a form and logic decoupling labeling mode by adopting a self-adaptive grid technology and combining GNN, the circuit form analysis precision is improved, a circuit diagram is converted into a grid storage structure by adopting a form labeling method, the spatial analysis capability is improved, logic information can be used for training a neural network so as to learn a circuit topological structure and functions, and the circuit form analysis precision is improved. The method is used for automatically generating DSL codes, the logic annotation is used for modeling component relations, the form annotation is used for optimizing physical layout and independently processing logic and form information, the layout is optimized in combination with GNN, and the automatic design capacity of a circuit is improved.

The invention relates to the technical field of shot peening forming, in particular to a finite element model modeling method for integral panel shot peening forming analysis, which comprises the following steps of: establishing a panel shell geometric model consistent with a solid in thickness; determining a shot blasting area and conditions thereof; an equivalent load is determined based on shot blasting conditions, wherein a single-face shot blasting area is an equivalent linear density bending moment, and a double-face shot blasting area is an equivalent linear density bending moment and an equivalent thermal load; the equivalent load and constraints are applied to the model to complete modeling. According to the method, the elastic-plastic impact process of shot blasting is equivalent to the statics load acting on the shell, and the quantitative relation between the load and the process parameters is established by using the standard test, so that the calculation scale and the time cost of large-scale integral panel shot blasting forming simulation are greatly reduced on the premise of ensuring the prediction precision, and the method is suitable for large-scale integral panel shot blasting forming simulation. And an efficient and reliable analysis tool is provided for process design and optimization.

The invention discloses a form analysis and data sharing method for historical district protection planning, relates to the technical field of city-oriented updating, and adopts a cloud database and a plurality of local terminals which establish data links with the cloud database. In the local terminal, the geographic space information of the planning scheme of the historical district is represented through the three types of objects; a new planning scheme of a historical section is obtained by modifying an original planning scheme; and through a function method translated from a morphological analysis theory, calculating to obtain a morphological analysis result of the new planning scheme. The cloud database is established on the online server, and the local terminals and the cloud database establish data links to realize data sharing among the plurality of local terminals. According to the method, the problems that a real-time form analysis result needs to be obtained to assist in decision making after a planning scheme is modified in current actual work, and planning scheme information needs to be synchronized in real time among multiple professionals so as to meet the requirement of scheme comparison and selection can be solved.

An object of a system according to an embodiment is to propose an appropriate exercise menu or stretch moving image according to the purpose, body shape, and age of a user.SOLUTION: A system includes a collection part, a proposal part, a reminder part, and a form analysis part. The collection unit collects information on a user. The suggestion unit analyzes the information collected by the collection unit and suggests an appropriate stretch moving image or exercise menu to the user. The reminding unit reminds the user of the timing of the exercise suggested by the suggesting unit. The form analyzing section points out a difference and an improvement point of the form when the exercise reminded by the reminding section is carried out.SELECTED DRAWING: Figure 1

The application discloses a kind of thin coal seam working face monitoring method and system based on computer vision, it is related to thin coal seam working face splint monitoring field.The application realizes continuous tracking and dynamic feature extraction to splint three-dimensional form by combining multi-source vision data fusion and time sequence form analysis modeling method.Specifically, the application uses structured light depth camera, RGB camera and infrared thermal imager to obtain the form features of splint in different dimensions, and constructs a three-dimensional model with spatial consistency by fusion;Then, combined with the curvature change, the height difference of the top and the time continuity feature, a form risk function is constructed to realize the quantitative, dynamic and real-time evaluation of splint off-slot risk, so that the system can determine the potential risk in the early deformation stage of splint.

The application provides a multi-sublist electronic form automatic analysis method based on a multi-agent workflow, and relates to the technical field of form analysis. The multi-sublist electronic form automatic analysis method based on the multi-agent workflow comprises the following steps: an entry agent is used to create an analysis task corresponding to an original report form; a document analysis agent is used to identify sublists in the original report form; structured sublist data is organized according to business perspectives to form different perspective data; each business perspective data is cleaned, aggregated and index calculated to generate structured analysis results; a tabulation agent and a charting agent are used to generate analysis icons; and the obtained analysis text and icons are aggregated to generate a complete analysis report file. The application can improve the automation degree and consistency of complex electronic form analysis, index calculation and report generation, and improve the traceability and reviewability of the results.

The application relates to the technical field of fraud identification, and discloses an e-commerce platform consumption risk assessment method, which comprises the following steps: obtaining target information, forming analysis data through an information analysis strategy, forming judgment data through a seller judgment strategy, evaluating the seller through an evaluation strategy to form evaluation data, warning the buyer and protecting the fund, the e-commerce platform consumption risk assessment method can automatically obtain the risk condition of the seller corresponding to the goods according to the goods purchased by the buyer, automatically judge the authenticity of the goods comment according to the comment text of the goods of the seller, thereby judging whether the seller and the goods have risks, automatically judging whether the seller is normal sales according to the IP of the seller, and prompting the buyer that the present consumption has risks, so that the risk of being cheated by the buyer is reduced, and the property loss caused by the buyer is prevented.

A press forming analysis method according to the present invention includes: a die model generating step (S1) of generating a die model having a virtual thickness by a two-dimensional element and setting a boundary condition of the two-dimensional element such that a part corresponding to a rib in a real die is a rigid body and a part other than the rib is a nonrigidity; and a press forming load acquiring step (S3) of performing press forming analysis using a die model generated by the die model generating step (S1), and acquiring a press forming load.

The application discloses a shale gas development evaluation method and system, wherein the method comprises the following steps: obtaining the static characteristics of a favorable reservoir before fracturing in a build-up area according to geochemical identification of the favorable layer section, reservoir quality classification evaluation and reservoir distribution evaluation; based on the static characteristics of the favorable reservoir before fracturing in the build-up area and production dynamic data, the fracture network parameters after fracturing of a shale gas well are inverted, gas well productivity evaluation and classification evaluation are carried out, and the characteristics of the reservoir after fracturing are obtained; the reservoir connectivity after fracturing is analyzed by using qualitative and quantitative technical methods, and the optimal development well spacing in the build-up area is determined; on the basis of the fracture network form analysis, the longitudinal well pattern deployment in the build-up area is evaluated; and based on the quantitative characterization of the stress sensitivity of the shale reservoir in the build-up area, the reasonable development mode of the gas well and real-time production allocation are determined. The application can comprehensively understand the shale gas, so that the key development technical policy of the shale gas is determined, and efficient development of the shale gas is realized.

The invention relates to the technical field of operation and maintenance management, in particular to an intelligent decision-making operation and maintenance management method and system, and the method comprises the steps: continuously recording the state data and working data of equipment as historical monitoring data, carrying out the parallel processing of the historical monitoring data and the effect evaluation data of the equipment, and obtaining the reference information of the equipment; the equipment reference information is uploaded to a cloud platform, correlation collaborative analysis is carried out on the equipment reference information of the multiple pieces of equipment through the cloud platform to generate a reference correlation matrix among all the pieces of equipment, analysis of operation and maintenance updating requirements is carried out on all the pieces of equipment based on the equipment reference information, and operation and maintenance target information of all the pieces of equipment is obtained; and performing execution form analysis of operation and maintenance management on the operation and maintenance target information of each device according to the reference incidence matrix so as to generate an operation and maintenance management scheme of each device.

This simple configuration measures the deformation behavior of a die during press forming. [Solution] The press machine displacement measuring device measures the displacement of the press machine. The press machine displacement measuring device comprises a measuring instrument 7 and a support member 8. The support member 8 supports the measuring instrument 7 between the bolster 3 and the slider 2, at a position laterally to the mold holders 4a, 4b or molds 5a, 5b. The measuring instrument 7 measures the displacement of the mold holder or the side surface of the mold by measuring the distance to the mold holders 4a, 4b or molds 5a, 5b.

The embodiment of the application provides a kind of automatic extraction method and device of test data set for data analysis problem, on the basis of establishing equipment life cycle data, formal definition is carried out to the analysis object of data analysis problem, problem characteristic, problem type with problem as orientation, the correlation degree of analysis object and problem characteristic is selected in different dimensions, according to the mapping of dimension feature and original data set, search the table, column of original data set, according to analysis data type, data analysis role definition, dimension definition is converted, with dimension feature as connection, with problem object as data scale fusion, generate preliminary data set;According to business definition, select different dimension range, select range to data, form analysis data set;Finally, from data set quality and data structure, check and evaluate, so that more comprehensive, more accurate data analysis result can be realized.

The invention discloses a method for measuring interstitial space of buildings in a block, and belongs to the technical field of urban spatial form analysis and modeling. The method comprises the following steps: determining a target acquisition range and obtaining target data; based on the building plane contour, using a morphological mosaic technology to segment the research range plane to form a building control surface domain; identifying a common boundary of adjacent surface domains, and defining the common boundary as a building gap center polyline; calculating the width of the building gap based on the buffer distance between the two sides of the central polyline; constructing a concentric circle based on the midpoint of the central polyline, and calculating the extension length of the building gap; and counting the widths and the extension lengths of all the building gaps in the area range, and outputting a building gap space map. According to the method, non-street spatial features in the building group can be systematically quantified, and basic support is provided for urban form modeling, block updating design and urban space reachability analysis.

The application relates to the technical field of contact network state recognition, in particular to an AI abrasion and loosening recognition system for a contact network of a rotating device of track transportation, which comprises a data time sequence arrangement module, a rotating motion flow form analysis module, a frequency domain energy extraction module, an abrasion gradient determination module and a state risk assessment module.In the application, a local tangent plane is constructed, and a geodesic line projection distance to a standard trajectory surface is calculated, so that constrained motion and abnormal deviation can be effectively stripped, nonlinear space anomalies hidden in vibration noise are captured by using flow form geometry analysis to identify slight loosening, texture energy and morphological energy are separated by filtering to realize accurate quantification of material loss, the spatial gradient value of deformation energy proportion is calculated to effectively distinguish surface shallow interference and structural deep mutation, and the quantitative indexes of time and space alignment are comprehensively used to realize accurate identification of equipment operation stability and health state in a dynamic environment.