60 results about "Form analysis" patented technology

The invention discloses a low-code platform based on a component library and a form engine, and relates to the field of data processing. The platform comprises a design system, an application system and a service system. The design system is provided with a form designer and a template manager, the form designer can configure a form component to generate a description file, and the template manager supports separate storage of a page template; the application system comprises a form analysis engine, a UI rendering engine and a reusable resource management component, the analysis engine analyzes configuration generation logic, the rendering engine loads a resource rendering page, and the reusable resource management component stores resources and generates configuration; the service system comprises a metadata analysis engine and an SQL assembler, the metadata analysis engine analyzes business rules to generate SQL and filtering strategies, and the SQL assembler generates operation statements adaptive to multiple data sources. Through the modular architecture design and the dynamic analysis mechanism, the problem that a low-code platform is insufficient in flexibility and usability is solved.

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 provides a multi-sensor fusion and environment feature recognition method and system for digital twin equipment, and the method comprises the steps: constructing a digital twin model of the equipment in a visual platform, and setting a self-updating mechanism; deploying a multi-sensor array at a key installation part of the equipment physical entity, collecting multi-source sensing data and uploading the multi-source sensing data to a twin platform; carrying out noise reduction processing on the multi-source sensing data and completing data fusion to obtain fused data; constructing a diffusion model corresponding to a noise scheduling strategy, generating new sensing data and a corresponding label, and forming analysis data; a multi-channel deep learning model is constructed to extract feature parameters from analysis data, regression prediction is carried out, and an identification result is obtained; the system is integrated to a twin platform and is combined with a control decision function. According to the invention, real-time regression prediction of environment characteristic parameters based on sensing data is realized, deep fusion of environment perception and control decision of equipment is promoted, and perception capability and adaptive adjustment capability of a control decision system of the equipment are improved.

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 provides an artificial intelligence-assisted stamping part formability rapid analysis and prediction method and system, and relates to the technical field of plate stamping forming, and the method comprises the steps: obtaining the three-dimensional data of a stamping part to extract geometric deformation characteristic parameters, constructing a strain path curve, and determining a deformation risk region; and establishing a corresponding relation between strain abrupt change characteristics and defect types to predict defect positions and types, and optimizing grid data based on a strain rate gradient and a material hardening index to carry out forming analysis. The method can improve the stamping part forming defect prediction precision and analysis efficiency, and reduce the mold test debugging cost and period.

The invention discloses a soil heavy metal form analysis method and system based on multi-modal data fusion and small sample learning, and belongs to the field of agricultural environmental science. The soil heavy metal form analysis model based on multi-modal data fusion and small sample learning is operated for direct output, multi-modal data isomerism and a low-data-volume scene can be considered, the method is suitable for multi-scene and multi-range soil heavy metal form proportion prediction, and a scientific basis is provided for accurate pollution control to output the to-be-detected heavy metal form proportion.

The invention relates to the field of radio telescope structure analysis, and discloses a large-scale cable net supporting system radio telescope reflecting surface section correction method, which comprises the following steps: establishing a telescope cable net reflecting surface initial calculation model; calculating internal force and external force of the mass point; performing nonlinear static force calculation to obtain an equilibrium state model; calculating a main cable node space coordinate deviation between the equilibrium state model and the initial calculation model; reversely applying the obtained coordinate deviation to the initial calculation model, and updating the equilibrium state model; repeating the steps 3-5 to obtain model information in a reference state; calculating an ideal section size of each cable unit; the optimal ideal section size is matched for the cable unit in the cable unit section library; the initial calculation model is updated, and cable net section correction is completed. According to the scheme, initial form analysis of the cable net reflecting surface is carried out by utilizing a finite mass point method, and more uniform cable force distribution is realized by selecting a proper cable net section size in a given section library.

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 discloses a multi-dimensional evaluation system and method for reasoning consistency of a large language model, and belongs to the technical field of natural language processing. Aiming at the problem that the evaluation method is not comprehensive enough due to the fact that large language model consistency evaluation is limited to reasoning result and fact consistency, a system comprising a consistency identification module, an evaluation data set generation module, a consistency judgment module and a consistency evaluation module is designed; the method comprises the following steps: analyzing and determining a consistency type required to be checked in combination with a task form, generating an instruction based on the consistency type required to be checked in combination with an existing data sample, automatically constructing an evaluation data set, and automatically evaluating the consistency type required to be evaluated based on the constructed data set according to the consistency type required to be evaluated and logic requirements thereof. And evaluating the consistency of a reasoning process and a reasoning result generated by the large language model on the constructed consistency evaluation data set, and giving a model consistency capability comprehensive evaluation report.

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 present invention belongs to the technical field of landscape monitoring and management, and specifically relates to a distributed data monitoring platform for natural ecological landscapes, which includes a natural ecological landscape monitoring unit, a distributed storage unit, a landscape form analysis unit, a growth environment assessment unit, and a landscape management terminal; the present invention monitors the natural ecological landscape in real time through the natural ecological landscape monitoring unit, and the landscape form analysis unit determines whether a landscape form abnormal signal is generated through landscape form analysis. When a landscape form abnormal signal is generated, a cause investigation and analysis are carried out and reasonable improvement measures are made for the natural ecological landscape. In addition, when a landscape form abnormal signal is generated, the growth environment assessment and analysis are carried out to judge the relevance between the natural ecological landscape abnormality and the growth environment. When a growth environment abnormal signal is generated, the monitoring and management of the environment where the natural ecological landscape is located are strengthened, which is beneficial to avoiding damage to the natural ecological landscape and significantly reducing the supervision difficulty of the natural ecological landscape.

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 discloses an intelligent manufacturing method of an air-supported membrane structure. The method comprises the following steps: firstly, accurately constructing an unstressed geometric curved surface of the air-supported membrane structure by adopting a non-uniform rational B-spline curved surface technology; then, structural morphological analysis is carried out based on a finite element analysis method, strain energy and stress fluctuation coefficients of the structure are extracted to serve as performance indexes, control point parameters of the initial geometric surface configuration are set as optimization variables, and multi-objective optimization is carried out by adopting a genetic algorithm with the purpose of minimizing strain energy and stress fluctuation; and finally, digitally expanding the optimized geometric curved surface of the stress-free configuration to generate a cutting drawing, and completing automatic cutting of the membrane material according to the drawing. Through control equation optimization, automatic cutting and refined construction management, material waste is reduced, and the stability and safety of the structure are improved. The method is suitable for efficient manufacturing of the large-span air-supported membrane structure and has important engineering application value.

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.

The invention discloses an intelligent analysis system and method for startup and shutdown data of a water-turbine generator set, and relates to the technical field of startup and shutdown data analysis of the water-turbine generator set, and the system comprises an operation data collection module which is used for collecting key operation data in the startup and shutdown process of the set, and forming analysis report data of startup and shutdown of the set at each time; the first early warning module is used for analyzing the data change in the working condition conversion when the unit is started and stopped, and generating first early warning information when the data change amplitude does not meet a preset threshold value; the second early warning module is used for acquiring a distribution interval of the unit equipment operation data and generating second early warning information when the unit equipment operation data deviates from the distribution interval; and the association analysis module is used for judging an association relationship between the first early warning information and the second early warning information based on the first early warning information and the second early warning information, and storing the association relationship in a database. According to the method, the equipment influencing the startup and shutdown process can be analyzed, the startup and shutdown time is shortened, and the startup and shutdown success rate is increased.

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.

Provided are a press forming analysis method, a press forming analysis device, 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 of the present invention is a press forming analysis method that uses the finite element method to predict press forming loads using a mold model 9 having an upper mold model 11 and a lower mold model 17 modeled with shell elements, and includes an elastic element-added lower mold 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 mold model 17 to create an elastic element-added lower mold model 13, an elastic coefficient determination step S3 in which the elastic coefficient to be given to the elastic elements 15 is determined, and a press forming load acquisition step S5 in which press forming analysis is performed using the mold model 9 including the elastic element-added lower mold model 13 modeled in the elastic element-added lower mold model creation step S1, and the press forming load is acquired.

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