25 results about "Form analysis" patented technology

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.

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.

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 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.

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 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.

To further enhance the evaluation accuracy of a delayed fracture. Focusing on the fact that a calculated stress value serving as the reference for the occurrence of the delayed fracture changes depending on analysis conditions of a forming analysis, a value obtained by changing a stress value serving as the reference for the occurrence of the delayed fracture according to the analysis conditions for analyzing an intended formed article (article for practical use) is used as the reference for evaluating the delayed fracture. For example, analysis conditions of a forming analysis in an evaluation test of the delayed fracture are matched with analysis conditions of a forming analysis of an article for practical use represented by an actual automobile component.

The present application relates to phosphorus chemical technology field, specifically to a kind of phosphogypsum soil conditioner in calcium, magnesium, sulfur element intelligent analysis and comprehensive evaluation system of detection, including hardware analysis module, data acquisition and processing module and intelligent evaluation core module.Hardware analysis module is used to determine the total amount of element, chemical form and sample physicochemical property;Intelligent evaluation core module is based on pre-training model, according to the form analysis result, the biological availability coefficient of element is calculated, and the comprehensive agronomic effect index and environmental adaptability index are calculated by combining environmental and crop parameters.Finally, the system outputs comprehensive evaluation report covering product performance classification, applicability diagnosis and optimization suggestion.The present application solves the problem that traditional detection method cannot associate element form and agronomic effectiveness, realizes scientific, accurate and comprehensive intelligent evaluation and application guidance of phosphogypsum soil conditioner.

The invention discloses a catalyst structure form analysis method based on computer vision, particularly relates to the field of computer vision, and is used for solving the problem that the segmentation precision and the pore space communication structure stability are difficult to guarantee at the same time under the complex pore form condition in the existing catalyst three-dimensional structure analysis process. According to the method, a multi-dimensional feature vector is constructed for a three-dimensional grayscale image body of the catalyst, probability segmentation is carried out on a pore phase and an entity phase, topological persistence constraint is introduced in the segmentation process, and a stably existing key pore structure is enhanced and reserved; then performing structure correction on a segmentation result in combination with a morphological processing mode of direction perception, and further improving continuity and consistency of a pore channel; finally, a skeleton network structure of a pore space is extracted through three-dimensional central axis transformation, effective expression of a pore communication relation and a channel form is achieved, and therefore a reliable technical means is provided for analysis and optimization of the structural performance of the catalyst.

The application provides an intelligent data analysis and governance automation system and method, wherein the system comprises: a data preprocessing module, configured to obtain to-be-processed data, clean the to-be-processed data by using a double-channel time sequence anomaly detection model, and obtain cleaned data; a quality control module, configured to distinguish clean data and to-be-repaired data in the cleaned data by using a statistical evaluation method, recommend a repair method for the to-be-repaired data by using a machine learning model and repair the to-be-repaired data, and combine the repaired data and the original clean data to form analysis data; a real-time analysis module, configured to perform collaborative analysis on the analysis data in a multi-thread distributed manner by means of tools in a Java technology framework, obtain global analysis results, perform deep analysis on the analysis data in a dense extraction and gradient boosting decision tree integration manner, and obtain deep analysis results; and a visualization module, configured to generate a visualization report based on the global analysis results and the deep analysis results.