141 results about "Process analysis" patented technology

The invention discloses a BMS (Battery Management System) fault prediction method and system in the technical field of battery management system testing, which are used for solving the technical problem that random crash is difficult to position and reproduce in BMS operation. According to the method, the electrical, thermodynamic and RTOS task scheduling operation states of a BMS are synchronized in real time by constructing a multi-physics field coupling digital twinborn model, and feature extraction and fault diagnosis are performed based on simulation process parameters. And carrying out accelerated reproduction on the fault in the multi-physics field coupling digital twinborn model, recording a key parameter combination causing the BMS crash, carrying out verification on an actual BMS hardware platform, and positioning a crash reason and a critical condition. According to the method, real-time data acquisition, digital twin simulation and test verification are combined, and full-process analysis from data acquisition to fault reproduction can be completely realized.

The invention provides a carrier rocket ground test system and method supporting visual process configuration. The system mainly comprises: (1) a visual process configuration module, which configures a test process file through a graphical interface; (2) a process analysis and scheduling module for analyzing a process file and converting the process file into a task sequence; the test execution engine module (3) is used for driving bottom hardware and executing a test instruction sequence; (4) the test resource library module is used for storing and managing various information of test elements and various information of test equipment; the execution monitoring and data management module (5) is used for displaying a test execution state in real time and recording whole-process data; according to the method, the test logic and the execution program are separated, and a user can quickly construct, modify and reuse an automatic test process in a graphical mode, so that the test flexibility is greatly improved, and the test adaptability and efficiency are remarkably improved.

The invention belongs to the field of oil field ground process analysis and evaluation, particularly relates to an onshore oil field green low-carbon level index evaluation method and system and electronic equipment, and aims to solve the problem that an existing evaluation system is incomplete and inaccurate in consideration. The method comprises the following steps: based on production operation of an oil field ground process system, selecting a green and low-carbon level main body evaluation index; based on the subject evaluation indexes, dividing evaluation indexes to which the subject evaluation indexes belong; the subject evaluation index and the affiliated evaluation index are both endowed with weights; calculating a standardized score of each subject evaluation index; calculating a standardized score of each affiliated evaluation index; calculating a comprehensive score of the green low-carbon level of the to-be-evaluated oil field based on the standardized scores of the subject evaluation indexes and the affiliated evaluation indexes and the weights of the subject evaluation indexes and the affiliated evaluation indexes; and performing overall evaluation based on the comprehensive score. The method guides the improvement of the production construction level, promotes the refinement of production management, and provides a quantifiable scientific evaluation method.

The invention relates to a binding material single particle local spatial evolution analysis method, and belongs to the technical field of civil engineering binding material microstructure characterization. The method comprises the following steps: acquiring back scattering (BSE) and characteristic X-ray energy spectrum (EDS) images of a sample; selecting a target gel particle based on the BSE image and intercepting a local area; identifying the reaction edge of the target gel particle; performing equal-width stepped strip division inwards and outwards by taking the reaction boundary as a starting point, and storing the mask; carrying out image operation on adjacent masks to extract strips, and carrying out statistical analysis on gray feature and element feature changes of each strip; according to the method, surrounding phase interference is avoided through local analysis, whole-process analysis is realized by adopting unified image processing software, a programming basis is not needed, the technical threshold is reduced, the operation process is simplified, the uniformity of strip division and the reliability of an analysis result are ensured, and the method is suitable for large-scale popularization and application. And a simple, convenient and effective technical means is provided for revealing the reaction mechanism and quantitative reaction activity of the cementing material.

The invention relates to a trade bill multi-dimensional processing method, device and system, and the method comprises the steps: obtaining a plurality of pieces of trade bill data, and carrying out the intelligent recognition and structural processing, and obtaining bill field information; performing service association integration on the bill field information based on a preset service identifier to generate bill service data; performing multiple verification and analysis on the bill business data to obtain verification information; and performing multi-dimensional trade process analysis according to the verification information and the bill business data, and outputting decision-making auxiliary information. According to the invention, the automatic conversion from the original bill to the decision auxiliary information can be realized, and the transparency, controllability and operation efficiency of the whole trade process are improved.

The invention provides a credit granting approval process analysis method and device. Comprising the steps of performing word segmentation on text content in a credit granting approval document set, and combining the obtained segmented words to obtain combined phrases; calculating weighted word frequency-inverse document word frequency of the combined phrases; target phrases with weighted word frequency-inverse document word frequency larger than a word frequency threshold value are screened out from the combined phrases, and an amplified word list is generated according to the target phrases and the original word list; training a target word segmentation device based on the amplified word list; finely adjusting the basic vector model according to the training corpus to obtain a term vector model; analyzing the auditing opinion information based on a large language model to obtain an initial risk analysis rule containing a preset dimension; based on a similarity algorithm, a target word segmentation device and a term vector model, grouping and integrating the initial risk analysis rules to obtain risk analysis rules; and processing the information of each examination and approval stage by using a big language model and adopting a risk analysis rule to obtain examination and approval suggestion information.

The invention relates to the technical field of industrial wastewater treatment, and discloses a treatment method and system for industrial wastewater in mortar production, and the method comprises the following steps: obtaining source processes and characteristic property real-time parameters of the industrial wastewater in mortar production, carrying out treatment difficulty grading treatment on the industrial wastewater to obtain a treatment difficulty grade, the method comprises the following steps: carrying out intelligent distribution of treatment processes on industrial wastewater, carrying out time grading gravity precipitation analysis on the industrial wastewater, calculating the addition amount of a flocculating agent in each grade of industrial wastewater based on a data set after gravity precipitation to obtain a flocculating agent addition amount sequence, and carrying out time gradient stirring process analysis on the industrial wastewater to obtain a flocculate mass index; performing quality grading treatment process analysis on the industrial wastewater to obtain a separation liquid index, and analyzing the water quality condition of the industrial wastewater subjected to multi-stage filtration treatment based on the concentration of residual pollutants to obtain a final water quality result; the treatment efficiency of industrial wastewater in mortar production can be improved.

The invention belongs to the technical field of data flow, and discloses a data flow monitoring model device based on a government affair system. By solving the problem that government affair public data generally lacks security monitoring blind spots of overall government affair public data flow monitoring, the depth and breadth of security monitoring are effectively improved, so that the problem that a traditional security protection means is difficult to deal with advanced persistent threats, large-scale sensitive data leakage and novel threats of complex network attacks is solved. Through safety supervision and safety panoramic analysis of government affair public data flow monitoring, a result after safety data analysis is analyzed according to research and judgment analysis, authorization analysis and flow supervision process analysis of flow data safety monitoring and supervision design, and cross-platform, cross-department and cross-level unified data safety situation presentation and centralized management are realized.

This invention discloses a multi-channel automated parking system and its application method for rapid storage and retrieval. The multi-channel automated parking system is housed within a dense, integrated automated racking system. Multiple shuttle cars are placed on staggered, non-interfering single-layer longitudinal aisles, along with multiple matching independent vertical shafts. This allows for simultaneous longitudinal and vertical transport of multiple layers and goods. Multiple entrances / exits and transverse aisles can be configured as needed, housing multiple continuous transition conveyors. Combined with corresponding warehouse management software and various sensors, the system performs tasks such as scanning and identifying goods upon entry and exit, data collection, goods location determination, handling process analysis, conveyor path optimization, and time allocation. It also provides electronic control for information and instruction transmission and reception for the various handling equipment, achieving multi-layered relay-style collaborative operations and thus realizing intelligent and rapid storage and retrieval of goods throughout the warehouse.

The application discloses a kind of county village's job-housing balance evaluation and early warning method and system, belong to job-housing balance evaluation field.The application has adopted process analysis method, according to the time-space behavior of residents reflects the job-housing commuting characteristics of residents in county, the flow direction, quantity, distance and other elements of population flow are identified through massive mobile phone signaling data, in turn through process test to determine whether there is a large number of overlong commuting distance event in town unit, if there is, trigger early warning auxiliary system, should be through planning means to further strengthen the resource input and element configuration of the town, to alleviate the condition of job-housing over separation, promote the overall level of urban-rural integration of county.The application pays attention to under the background of high-quality urbanization still exists heavy city light rural element configuration mode, lead to a large number of town population job-housing mismatch problem, can assist the investment decision of county and promote the further development of town.

The utility model discloses a gas detection device of a coal milling system for a blast furnace. The coal milling system comprises a coal mill and a powder collector, and a discharge port of the coal mill is communicated with an air inlet pipeline of the powder collector; comprising a first metallurgical process analysis system, a second metallurgical process analysis system, a first collection pump, a second collection pump, a first collection probe and a second collection probe, a feeding pipe is arranged on a feeding hole of the coal mill; the side wall of the feeding pipe is communicated with a sampling branch pipe; the first acquisition probe is accommodated in the sampling branch pipe. The device can improve the accuracy of the detection result of the content of CO and O2 in the environment in the coal mill and the powder collector.

An embodiment includes a method of process analysis that includes obtaining a preliminary log file. The preliminary log file is generated during implementation of a first process. The method includes identifying a first token associated with the first process in the preliminary log file. The method includes calculating an expected number of the first token in the preliminary log file. The method includes identifying a number of times the first token is present in the preliminary log file. The method includes determining a progress indicator of the first process based on a comparison between the expected number of the first token in the preliminary log file and the number of times the first token is present in the preliminary log file.

The application discloses a high-temperature gas cooled reactor primary loop dehumidification column switching time optimization method and device, and belongs to the technical field of high-temperature gas cooled reactor (HTR-PM) debugging optimization. By acquiring the operation parameters of the accident dehumidification column and the normal purification column and the hot-state water concentration target of the primary loop, the dehumidification process analysis basis is established; based on the rate characteristics of the two types of dehumidification columns under different humidities, the corresponding primary loop water concentration when the dehumidification rates are equal is calculated, and the primary loop water concentration is determined as the optimal switching humidity; under the hot-state working condition, the accident dehumidification column is started to dehumidify, and the primary loop water concentration is monitored in real time; when the water concentration decreases to the optimal switching humidity, the switching operation from the accident dehumidification column to the normal purification column is performed; then, continuous dehumidification is performed until the water concentration reaches the final target value. The accurate judgment and dynamic optimization of the switching time are realized, and the overall efficiency of the dehumidification process and the system operation stability are effectively improved.

The invention provides a verification system and method for production line tool switching. The system comprises a depth camera, an updating tool, a matching base and a controller, wherein the updating tool comprises a mounting joint, a first target mark point and a second target mark point; the matching base comprises a butt joint, a first positioning mark point and a second positioning mark point, and the controller stores a first moving position of a first target mark point and a first matching position of the first positioning mark point which are synchronized through a first time sequence queue to carry out alignment analysis. And storing a second moving position of the second target mark point and a second matching position of the second positioning mark point which are synchronized after successful alignment through a second time sequence queue, and carrying out installation process analysis. Under the conditions that a tool does not need to be transformed and contact does not exist, through arrangement of the alignment marks and the in-place marks, intelligent verification of the whole installation process of the device without the perception function is achieved, and the verification accuracy of the installation process is improved.

The invention provides an XCP calibration process data processing method, which comprises the following steps: S1, configuring a measurement variable and a calibration variable according to an A2L file, and configuring a sampling rate; s2, sampling a DAQ according to XCP protocol configuration, establishing connection between the DAQ and an ECU, and collecting real-time data of a measurement variable and a calibration variable; s3, initializing an MF4 file, and establishing a write-in index in the MF4 file according to the measurement variable and the calibration variable; s4, collecting real-time data in real time, judging whether the real-time data is changed or not, if not, making no response, and if not, writing the real-time data into the MF4 file according to the write-in index; and S5, after writing of the real-time data is completed, the MF4 file is saved and closed. The problem that in the XCP calibration process, based on an MF4 file, only measurement data can be recorded, and whole-process analysis cannot be conducted on the XCP calibration process is solved.

The invention relates to the technical field of process automation, and discloses a process automation analysis method and device based on a structured document and a medium, and the method comprises the steps: generating the structured document of a target business based on the process logic and business rules of the target business; performing semantic analysis on document content in the structured document to obtain business semantics, and generating an abstract syntax tree corresponding to the target business according to the business semantics; acquiring an external dynamic parameter of the target business in real time, and mapping the target node and the external dynamic parameter in the abstract syntax tree into a label event in the business process model; generating a standardized process file corresponding to the target business according to the tag event and an extended tag event in the business process model; monitoring the service flow of the service platform in real time, and deploying the standardized process file into a publishing engine according to the service flow; and executing the business process of the target business through the standardized process file deployed in the release engine. According to the invention, the efficiency of process automatic construction can be improved.

The invention discloses a coal washing process analysis and decision-making system and method under energy consumption constraint, and belongs to the technical field of energy consumption management and control, and the method comprises the steps: obtaining, standardizing and enhancing the processing of multi-source time sequence energy consumption and processing amount data, carrying out the clustering analysis of the processed data, recognizing an energy consumption interval and a state partition, and carrying out the analysis of the state partition. Based on the identification result, the deep learning network is used to analyze the association among the energy consumption, the power consumption and the equipment load, and energy consumption state discrimination and future trend prediction are obtained; the method comprises the following steps: acquiring multi-dimensional production data, performing segmentation alignment on the multi-dimensional production data, establishing multivariable time sequence mapping from production parameters to process effects, and performing production process intelligent management and control under energy consumption constraint based on the multivariable time sequence mapping and a future energy consumption prediction result. According to the method, process level energy consumption fine regulation and control are realized, the extreme working condition robustness and operation safety are improved, and accurate and intelligent technical support is provided for coal washing process optimization and production decision making.

The invention provides an event reconstruction method based on giant remote sensing star groups and time-space continuous multi-modal data, which comprises the following steps of: firstly, extracting key sensitive vocabularies, processing long-time-sequence multi-source remote sensing data and the like; then, target-time-position information pairs of the key target at all moments in the long-time-sequence multi-mode remote sensing image are obtained through a multi-source remote sensing image language description large model constrained by keywords, and finally, the obtained information pairs are processed through an existing language large model. Information such as the speed and the running direction of the key target at each moment is obtained, and the overall information is analyzed and processed to predict the future trend of the key target. According to the method, the problem of inaccurate event process reconstruction and understanding of multi-modal data in the aspects of over-the-ground real-time intelligent event process analysis and understanding is solved.

This invention proposes a method and system for ground handling process analysis and anchoring based on multi-source spatiotemporal fusion. The method includes: collecting flight operation data, ADS-B trajectory data, vehicle positioning data, and onboard process sensor data; unifying execution time and coordinates and cleaning anomalies; extracting flight anchor points based on ADS-B trajectories using Dynamic Time Warping (DTW) to construct flight time / space fences; inputting vehicle positioning data and process sensor data into the vehicle process state machine to obtain structured process instances; retrieving process instances that meet the conditions within the time window and spatial fence; constructing a confidence score based on spatiotemporal distance to achieve accurate binding of processes to target flights. This invention achieves automated analysis and accurate operation anchoring of airport ground handling service processes, contributing to improved ground handling operations.

The invention discloses a credit data processing method and device, a storage medium and a program product, and relates to the technical field of credit data processing, and the method comprises the steps: obtaining credit process data of a plurality of credit products, and obtaining operation data of different bottom layer credit extension systems corresponding to the plurality of credit products; converting the credit process data into a first standard data record based on the first standard data template, and converting the operation data into a second standard data record based on the second standard data template; analyzing the first standard data record and the second standard data record according to the target analysis requirement to obtain a credit analysis result; wherein the first standard data template is generated based on standard credit processes corresponding to the plurality of credit products, and the first standard data record and the second standard data record are associated based on the business application identifier. The invention aims to improve the accuracy of whole-process analysis of a plurality of credit businesses related to a financial platform so as to provide core data support for operation and risk control.

The invention relates to the technical field of sheet metal part bending processes, and discloses a bending process verification method and system based on multi-source parameter linkage, and the system comprises a drawing information acquisition module, an automatic parameter calling module, a parameter analysis and calculation module, a bending process quadruple verification module and a verification result output module. The method comprises the steps of obtaining design parameters of a bent part through a design drawing, receiving empirical values input by a user, completing automatic calling of the parameters through a built-in material mapping function and a built-in equipment mapping function, calculating key process parameters through a preset mathematical formula based on output parameters and a calling result of a primary parameter calling layer, and determining the bending degree of the bent part on the basis of the key process parameters. And performing quadruple verification on the bending process by combining a calling result of the secondary parameter calling layer, outputting process guidance data, realizing automatic parameter mapping, and compressing process analysis time.

The invention relates to an impact tendency coal body fracturing grouting modification experiment method and device, and belongs to the technical field of deep mine rock burst prevention and control. The method comprises the following five steps: carrying out basic mechanical property measurement on a coal body sample; triaxial loading drilling pressure relief fracturing or cyclic fracturing is adopted, and acoustic emission monitoring is synchronously carried out; preparing a plurality of groups of grouting slurries with different proportions; pressurizing and grouting, and analyzing the distribution form through CT scanning; and drying and curing, and re-measuring the impact tendency index. The device comprises a grouting system, an air compressor, a liquid storage tank, a grouting pipeline, a pressure gauge and other components, a triaxial pressure experiment system, an acoustic emission monitoring system, a CT scanning device and the like. A complete experiment system is constructed, coal body fracturing grouting modification whole-process analysis is achieved, and experiment support is provided for rock burst prevention and control.

The present application relates to the technical field of local structure damage detection, and particularly relates to a local structure hazard analysis method using digital twinning. The method acquires measured strain signals and vehicle parameters when a standard vehicle passes over a bridge, and extracts a normalized measured feature vector. At the same time, an isomorphic simulation feature vector is generated based on the vehicle parameters and a finite element model. An optimal transmission coupling matrix between the two is calculated using the Sinkhorn algorithm, and a distribution pattern transmission cost and an adaptive sparse weight are obtained, solving the recognition error caused by the phase shift in the waveform space. By minimizing the transmission cost and applying sparse constraints, the equivalent cross-section reduction coefficient of each unit is inverted, and the precise positioning of local stiffness damage is realized. Finally, the model material parameters are updated synchronously, and the load bearing capacity reduction rate of the structure is calculated through nonlinear whole-process analysis. The present application can accurately quantify the influence of local damage on the overall safety of the structure under the conditions of unknown vehicle weight and waveform shift.

The application relates to the technical field of composite material analysis, and discloses an online thermal analysis method and system for composite materials and a storage medium, which comprises multi-physical field coupling modeling, a thermal response coupling model containing solid-gas phase interaction is constructed, a correlation relationship between parameters and temperature and decomposition reaction progress is established, spatial discretization is carried out by using the Galerkin method, a thermal response differential equation set is solved by using an implicit or explicit time stepping algorithm, temperature field distribution, mass loss and carbon layer formation data are obtained, the carbon layer formation standard is that the mass fraction of a matrix is reduced by 20%, the carbon layer thickness is calculated by mass loss, a mechanical property parameter model is established, and the residual strength after a fire is calculated, and a temperature-time curve, residual strength distribution and parameter sensitivity analysis report can be visually displayed on an online platform. The application realizes full-process analysis from thermal response simulation to residual strength evaluation, improves prediction accuracy, and reduces the application threshold.

The application discloses a kind of based on historical working condition's electric spark machining efficiency analysis system, it is related to processing analysis technical field, the present application will electric spark machining process be generated event account according to pulse event, extract event spectrum characteristics, and energy is effectively removed according to event type decomposition, short-circuit loss and arc loss, calculate energy supply efficiency, further generate chip removal retention, medium pollution and servo matching index, combine historical prescription threshold output can be issued clearance pulse, rebound rhythm, liquid pulse duty ratio and servo gain switching parameter, and give efficiency and cluster length after execution, review difference of recovery fraction, realize the attribution of deep cavity section efficiency drop and rectification closed loop.

The application discloses a kind of time sequence in situ zymogram soil enzyme activity quantitative imaging methods based on multi-parameter screening, it is related to soil enzyme activity detection technical field, the method collects time sequence fluorescence image of enzymatic reaction, constructs pixel-level time sequence gray matrix;Multi-stage screening is carried out to pixel, including initial screening based on gray value and standard deviation, slope and goodness of fit screening of sliding window fitting, and reaction time window final screening;Extract maximum local linear growth rate as uncorrected enzyme activity, introduce diffusion correction model correction, obtain corrected enzyme activity;Quantitative conversion and visual output are realized in combination with fluorescence standard curve.This application changes static measurement into dynamic process analysis, effectively suppresses background noise, significantly improves the sensitivity, spatial resolution and quantitative accuracy of enzyme activity detection.

This invention discloses a quality traceability management system for the entire aluminum profile production process, specifically relating to the field of fault prediction and health management in aluminum profile production. It includes a data construction module, a feature fusion module, a risk identification module, an anomaly backtracking module, and a closed-loop optimization module. The data construction module collects process parameters and equipment parameters at each stage of aluminum profile production, aligns them with the material flow cycle time, and extracts key indicators reflecting the trend of state changes. These indicators are then fed into the equipment analysis path and the process analysis path, forming a first dataset and a second dataset. This invention links the dynamic changes in equipment health status with batch quality judgment in real time and combines risk assessment and traceability mechanisms at the cyber-physical system level to identify chronic deviations, limit their impact scope, and dynamically update batch records. This achieves a deep integration of the entire aluminum profile production process quality traceability system with fault prediction and health management.

This invention relates to the field of fluid mechanics and transient process analysis of hydraulic systems, and discloses a method for determining the occurrence boundary and risk level of liquid column separation. The method utilizes a visual test bench to conduct multiple experiments under different combinations of test parameters, collecting data and simultaneously recording the liquid column separation state. Based on Buckingham's π theorem, dimensional analysis is used to construct multiple independent dimensionless parameter sets from the test parameter combinations. These are used as input features, with the separation state as the target variable. A machine learning algorithm is introduced for multiple batch training to calculate importance scores, selecting the dominant dimensionless parameter with the highest and most stable score. Subsequently, regression analysis is used to fit the data boundary, solving for the intersection point and outputting the critical equilibrium point as a quantitative benchmark for the occurrence boundary. After confirming separation, high-scoring dimensionless parameters are selected to construct composite judgment parameters, which are compared with preset thresholds to classify the risk level. This invention can accurately define the critical equilibrium point of cavitation occurrence and quantitatively assess its risk severity.

This invention discloses a method and system for dynamic task allocation in edge-cloud collaborative computing for the entire CNC machining process. The system includes a process analysis module for real-time identification of process boundaries and technological features; a machining task perception module for automatically generating a list of various computing tasks required for the current process based on process features (including tool wear monitoring, spindle vibration monitoring, thermal error compensation, machining parameter optimization, workpiece quality prediction, contour error compensation, etc.); a process-driven dynamic decision engine for independently deciding whether to allocate each computing task to the edge or the cloud; and a CNC instruction collaboration module for converting the decision results into compensation instructions and writing them into the CNC system. This invention combines process flow features with various computing task types throughout the CNC machining process, achieving refined dynamic allocation at the process and task levels. It also ensures task continuity through the migration of intermediate computing results during process switching, making it suitable for various intelligent application scenarios throughout the entire CNC machining process.