56 results about "Iterative analysis" patented technology

The invention relates to the technical field of helicopter structure and function integrated anti-strike structure design, and particularly provides an integrated anti-strike plate parameter optimization method based on model analysis. According to the method, materials of the ceramic plate and the composite material plate are selected, iterative analysis and structural bearing performance analysis of the integrated anti-strike plate are carried out, static analysis software is adopted to carry out structural bearing performance analysis on the structure of the integrated anti-strike plate, and whether the design requirements of rigidity and strength are met or not is judged. The integrated anti-strike plate based on the titanium alloy honeycomb lattice structure form of the embedded ceramic plate and the composite material plate is reasonable and compact in structure, and the space efficiency can be effectively improved.

This invention discloses a system for recording and analyzing the growth trajectory of a person's resume based on multi-source data fusion, relating to the field of enterprise talent training and development technology. It solves the technical problem that the lack of recording and analysis of post-training ability growth feedback during the planning of internal training routes leads to incomplete dynamic growth records of abilities. This invention obtains corresponding matching states by matching multi-source heterogeneous data with set training data, develops personalized training plans for employees based on these matching states, and rates users according to their matching states and promotion standards. This allows for precise matching of users' actual abilities with promotion standards and training states, achieving quantitative assessment of ability levels. It enables full recording and iterative analysis of user ability feedback, training process, and growth changes, forming a closed-loop mechanism of "assessment—growth—rematching—re-enhancement," significantly improving the completeness, continuity, and practicality of ability growth records.

The invention provides an uncorrelated parallel machine scheduling method, system and device, a medium and a product. The method comprises the steps of obtaining a main problem and a sub-problem corresponding to a scheduling task; obtaining a binary representation model of the main question; the scheduling quantum computer analyzes the binary representation model of the main problem to obtain a plurality of optional scheduling strategies; analyzing the sub-problem based on the plurality of selectable scheduling strategies to obtain a plurality of candidate sub-problem feedback information; screening the plurality of candidate sub-problem feedback information to obtain target sub-problem feedback information, and performing a next iterative analysis process based on the target sub-problem feedback information to obtain a plurality of new selectable scheduling strategies; and obtaining a target scheduling strategy until an iteration ending condition is met. Through the quantum and classical hybrid computing system, the quality and generation efficiency of the scheduling strategy are improved.

The embodiment of the invention relates to the technical field of big data processing, and discloses a recommendation clue processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a recommendation clue, and extracting multi-dimensional key information; giving an initial weight combination to the business scene based on the weight model, and determining a recommendation score of the recommendation clue based on the initial weight combination and the score corresponding to the multi-dimensional key information; if the recommendation score is greater than or equal to a threshold value, identifying the recommendation clue as a high-quality recommendation clue, and performing follow-up on the high-quality recommendation clue; obtaining and feeding back a conversion result after the high-quality recommendation clues follow up; performing iterative analysis on the initial weight combination based on a weight model, a high-quality recommendation clue and a conversion result; and determining a recommendation score corresponding to the new recommendation clue based on the optimized weight combination. By means of the mode, closed-loop feedback and weight automatic iteration optimization are fused, and the accuracy of high-quality recommendation clue screening can be continuously improved.

The invention discloses an automobile software code change influence analysis method and system, and relates to the field of software development, and the method comprises the steps: S1, constructing a multi-source unified vector enhancement knowledge graph data index; comprising the following steps: respectively executing data extraction and analysis on a code library, an ARXML file and a demand and defect document, and establishing a corresponding index; wherein a unified atlas data model is established based on the extracted entities and relationships, a semantic vector is generated for each entity node, and fusion of the atlas and the vectors is realized; s2, multi-path influence propagation analysis is carried out; comprising the following steps: analyzing code difference of a version control system, and positioning an initial change code node set; influence propagation analysis is carried out through four influence paths including grammar / structure dependence, semantic similarity, interface contract and demand / defect tracing; the analysis process of the four influence paths is executed by calling an influence propagation engine by an analysis path planning engine; s3, carrying out backtracking and iterative analysis; and S4, generating a structured analysis context.

This invention provides a molding die for a composite satellite fairing, comprising: a main female mold (1), a front support base (2), and a rear support base (3); the main female mold (1) includes a molding curved template (4), a porous reinforcing rib plate (5), base mounting feet (6), and a back venting structure (7). This invention enables uniform heating of the double-curvature structure, thereby reducing curing deformation and improving the appearance molding quality. This invention designs the size of the vent holes in the back reinforcing ribs of the large-size fairing mold through iterative analysis of the thermal flow field. As the distance in the heat flow direction increases, the cross-sectional area of ​​the vent holes gradually decreases, allowing more heat flow to accumulate in the mold's location away from the heat source, reducing the temperature gradient on the back of the mold in the heat flow direction, resulting in a uniform mold surface temperature and reduced curing deformation.

This invention relates to the field of energy storage and thermal energy storage system design technology, and particularly to a design method and product for a hot water thermal energy storage and release system used in conjunction with compressed gas energy storage. The method includes: setting boundary conditions for designing the hot water thermal energy storage and release system; calculating the constant pressure, cold tank volume, and hot tank volume; executing the thermal storage and release processes using the hot water thermal energy storage and release system, and calculating the temperature and pressure of the cold and hot tanks during the process; comparing the minimum pressure during the heat release process with the constant pressure, and recalculating or terminating the calculation based on the judgment result; storing and outputting the design parameters of the hot water thermal energy storage and release system at this time. This invention uses iterative analysis of the pressure and temperature changes of the hot water thermal energy storage and release system during operation, providing design parameters for the thermal energy storage system, preventing redundant design, saving costs, and preventing hot water vaporization due to excessively low pressure and leakage or damage to the thermal energy storage tank due to excessively high pressure, thus facilitating the safe design and operation of the thermal energy storage and release system.

Techniques for generating permissions policies for nested sets of software artifacts are disclosed. A system detects a selection of a target action and a target software artifact. The system identifies an entity associated with the selection. The system analyzes permissions metadata of the target software artifact to identify user-defined permission configuration rules specifying one or more additional software artifacts and one or more additional actions associated with the additional software artifacts. The system performs an iterative analysis of permissions metadata in the nested software artifacts to generate a composite permissions policy for the entity that combines the permissions specified in the user-defined permission configuration rules for the set of nested software artifacts.

The invention discloses an unmanned aerial vehicle light show three-dimensional image generation method based on dynamic path planning, and relates to the related technical field of image generation, and the method comprises the steps: constructing a dynamic accessibility tensor space which uniformly describes the space accessibility, the time propulsion and the light trace stability; according to the three-dimensional target morphological gradient, dividing an unmanned aerial vehicle group into three subgroups of configuration generation, light trace enhancement and morphological stability, and setting different path priorities, morphological sensitivities and energy consumption thresholds; and applying a three-dimensional image growth operator to the path field in the dynamic reachability tensor space to form a light trace density field, and performing double-coupling iterative analysis to generate a dynamic path planning result. The technical problem that unmanned aerial vehicle light show in the prior art is difficult to give consideration to space-time continuity, visual stability and cluster cooperation efficiency of three-dimensional light tracks is solved, and the technical effects of efficient, stable and high-quality three-dimensional light show image generation and improvement of planning efficiency, adaptability and three-dimensional image fidelity are achieved.

The invention discloses a tunnel rock-soil structure analysis method and system, and relates to the technical field of geotechnical engineering.According to the tunnel rock-soil structure analysis method and system, structured monitoring time sequence data with time and process labels are introduced, and a surrounding rock state evolution model coupling excavation disturbance factors and time effects is combined; the surrounding rock mechanical parameters are no longer regarded as fixed constants, but are predicted in a time sequence form, so that the change track of the parameters in a future preset time period can be directly obtained, and the transformation from post-event equivalent inversion to future prediction is realized; on the basis, the cost of calculating the mechanical response of the tunnel structure at a time is remarkably reduced through a forward simulation element model obtained by training a high-fidelity numerical simulation result, so that rapid evaluation on various support schemes and surrounding rock evolution conditions within reasonable time becomes possible, and a real-time iterative analysis tool is provided for site construction.

The invention discloses an instrument panel operation and maintenance analysis method and system based on a multi-modal large model, and the method comprises the steps: intercepting an independent chart contained in a first instrument panel interface, and obtaining first chart data; constructing an initial multi-modal analysis request based on the first chart data and the initial analysis cue word; obtaining an initial analysis result generated by the multi-modal large model for the initial multi-modal analysis request, wherein the initial analysis result comprises the name of a second instrument panel subjected to next association analysis; navigating to an interface of a second instrument panel; intercepting an independent chart contained in an interface of the Nth instrument panel which is currently navigated to obtain Nth chart data; constructing an Nth multi-modal analysis request based on the Nth chart data, the iterative analysis cue word and the historical analysis context; obtaining an Nth analysis result generated by the multi-modal large model for the Nth multi-modal analysis request; and outputting a root cause analysis conclusion obtained by the last iterative analysis of the multi-modal large model until a termination condition is met.

The invention provides a method for calculating the shortest contact line length of an incomplete gear pair of a planetary roller screw, and the method comprises the steps: building a meshing curved surface equation of the incomplete gear pair based on basic geometric parameters, calculating the contact point coordinates of the gear pair according to the meshing curved surface equation, constructing a contact thread section according to the calculated or preset meshing radius of the incomplete gear pair, and obtaining the shortest contact line length of the incomplete gear pair. And the shortest contact line length value of the incomplete gear pair is obtained through contact thread section calculation. According to the method, a traditional process depending on finite element simulation or complex modeling is simplified, the length of the contact line is directly solved through a mathematical formula, and resource consumption and a design period are reduced; a uniform meshing curved surface equation and a coordinate transformation matrix are utilized to accurately describe the dynamic meshing state of the gear pair, and tedious iterative analysis is avoided. According to the method, both precision and convenience are considered, the technical threshold of front-line personnel is greatly reduced, and efficient and reliable theoretical support is provided for optimization design and engineering application of the planetary roller screw.

This invention belongs to the field of security monitoring technology and provides a monitoring method and system based on AI intelligent recognition. It includes firstly acquiring behavioral characteristic data and regional attribute characteristic data of abnormal monitored objects within the monitored area through AI intelligent recognition, and then establishing a threat probability analysis model based on this data to generate the threat probability of the current monitored area for real-time decision-making and intervention. Further, the method establishes a topological relationship model between various monitored areas, calculates the similarity between areas based on regional attribute characteristic data, and performs iterative analysis by combining the current regional threat probability with the propagation attenuation coefficient to generate the threat probability of other related areas, thereby achieving cross-regional early warning and decision-making intervention. This invention achieves forward-looking prediction of risk spread and cross-regional coordinated intervention, with the advantages of proactively predicting risk spread trends, realizing cross-regional coordinated intervention, and improving the timeliness and accuracy of security early warnings.

The application discloses a service capability tracking method based on compiling period bytecode analysis, belongs to the technical field of API calling management, and is used for solving the problem of insufficient perception of API calling conditions of a client by a server. The method comprises the following steps: a bytecode acquisition module acquires bytecode files in compiling products in a compiling process of a user-side application program and delivers the bytecode files to a bytecode analysis module; the bytecode analysis module performs iterative analysis on the bytecode files, identifies classes, methods and method calling instructions, analyzes calling behaviors of the client on API capabilities of the server from the bytecode level, extracts API service capability calling information, and delivers the API service capability calling information to a service capability recording module; and the service capability recording module arranges the API service capability calling information, and generates tracking data files used for representing corresponding relationships between the client and API service capabilities. Effects: the server can acquire calling information of various API capabilities of the client, and thus effective perception and management of API using conditions can be realized.

The application provides a mass log analysis method based on log template compression and a large language model, comprising the following steps: S1, task receiving and analysis, analyzing a natural language analysis task into structured task information; S2, agent decision and analysis strategy generation, dynamically determining an analysis strategy and tool calling parameters; S3, double-path data acquisition and compression, compressing GB-level original logs into KB-level structured abstracts through template matching statistics, and acquiring detailed information through keyword search; S4, result integration and semantic enhancement, adding business semantic information to the template matching statistics result; S5, agent iterative analysis and reasoning, performing pattern recognition and iterative in-depth analysis based on the semantic enhancement abstract; and S6, generating an analysis report; the application solves the problem that a large language model cannot directly process mass logs, realizes a high compression ratio, completely retains key information, and endows the log data with business semantics.

The application discloses a kind of oblique cable suspension sphere structure's traction hoisting installation method, first sphere structure is assembled on ground, traction tool is set on the anchor point of oblique cable two sides, and lug plate is all perpendicular to earth setting;According to the iterative analysis of form finding and force finding, the design state and initial state of the sphere are determined, and the shape and cable force are determined;Then based on the whole process simulation analysis of traction hoisting, the upper anchor point coordinates of main structure are reversely pre-adjusted, and the upper and lower port coordinates are measured by combining three-dimensional scanning technology, and the zero stress cable length is accurately determined;Finally, by different speed, synchronous oblique traction of several fixed-length cables, the sphere is hoisted and installed to the construction in-place attitude, and after the additional dead load is applied, the sphere structure is deflected to the design state shape.The application can effectively realize the design state shape and cable force of the sphere structure suspended in the air, greatly save the construction measures, reduce the risk of high-altitude operation, and shorten the construction period.

The application provides an AI analysis method and system applied to a paper machine press part data model, a paper machine digital production technical field, first, cross-dimension behavior marks of a paper machine press part data parameter model are acquired, including line pressure, vacuum, vehicle speed and the like parameter adjustment and detection parameters such as water permeability and moisture content of a felt, output response and environmental interaction behavior marks, then, dynamic behavior inversion is carried out on the cross-dimension behavior marks, dynamic reference logic is generated based on the inversion result, then, the inversion result and the dynamic reference logic are closed-loop calibrated, nodes deviating from the reference are positioned and calibration instructions are fed back, finally, the AI analysis process is iteratively optimized according to the result after the closed-loop calibration, an iterative analysis report is integrated, optimization adjustment parameter suggestions are provided for the paper machine, and the adaptability of the paper machine parameters and the felt design is evaluated based on different working conditions, more accurate decision support is provided for felt optimization and parameter upgrading, and the production efficiency and product quality of the paper machine press part are effectively improved.

The invention provides a boiler safety technical regulation intelligent question-answering system and method based on retrieval enhancement generation. The system comprises a user interaction module, an intelligent question and answer engine, an RAG retrieval module and a knowledge management module. The user interaction module receives a question text; the intelligent question and answer engine comprises a large language model LLM, the LLM performs semantic analysis on the question text under the guidance of a preset system cue word, determines a chapter title and a vector retrieval query statement corresponding to the question text, calls an RAG retrieval module to obtain a retrieval result returned by the RAG retrieval module, and performs loop iteration analysis until the RAG retrieval module is not called any more. And generating an answer result based on the retrieval result returned last time, and finally returning the answer result to the user interaction module for display. According to the method, loop iteration analysis is carried out on the question text through the intelligent question-answering engine and the RAG retrieval module, the response efficiency and content accuracy of boiler safety technical regulation question-answering are improved, and therefore the intelligent question-answering experience of a user is optimized.

This invention provides a method for generating and analyzing structured summaries of massive logs for large language models. The method includes: task parsing, agent initial decision-making, structured summary generation, agent summary analysis and clue discovery, in-depth detail acquisition, iterative analysis, and report generation. Structured summary generation compresses GB-level raw logs into multi-dimensional structured summaries through log querying, template matching and variable extraction, time window segmentation and multi-dimensional statistics, semantic enhancement, and formatted output, fully preserving event types, frequency trends, and key variable distributions. The agent decision engine adopts an Agent+Tools architecture, first quickly grasping the overall picture and identifying abnormal clues through summaries, then dynamically deciding whether to delve deeper into the original log details, supporting multi-round iterative analysis. This invention significantly compresses log data while retaining key information, enabling large language models to efficiently process massive logs and achieve accurate fault location and root cause analysis.

Techniques for generating permissions policies for nested sets of software artifacts are disclosed. A system detects a selection of a target action and a target software artifact. The system identifies an entity associated with the selection. The system analyzes permissions metadata of the target software artifact to identify user-defined permission configuration rules specifying one or more additional software artifacts and one or more additional actions associated with the additional software artifacts. The system performs an iterative analysis of permissions metadata in the nested software artifacts to generate a composite permissions policy for the entity that combines the permissions specified in the user-defined permission configuration rules for the set of nested software artifacts.

The invention discloses a growth animation generation method, apparatus and device, and a readable storage medium. The method comprises the steps of determining attribute information of point clouds based on a spatial relationship of the point clouds in a point cloud space; the attribute information comprises an offset vector for indicating density distribution and an offset length for indicating point cloud density; determining a target point cloud based on the attribute information; generating a target line segment based on the target point cloud; and on the basis of the sequence indicated by the offset length, sequentially generating branch sub-models indicated by the target line segment in the generation process of the target model to obtain a growth animation of the target model. According to the method provided by the invention, the L-system fractal algorithm can be fitted based on the data processing of the point cloud to simulate the most important branch sequence growth effect in the growth process, so that the complex iterative analysis in the traditional L-system fractal algorithm is avoided, and the animation expression effect of the biological model with the complex branch effect is effectively improved.

The application discloses a load identification method based on an improved fuzzy algorithm, and comprises the following steps: step one, collecting three-phase voltage, current and power parameters of a low-voltage side of a transformer in a transformer area through a terminal device in real time, and constructing an original time sequence data set; the time sequence data set is windowed according to a preset time step, and a data segment sequence with a time scale is generated; step two, performing multi-level discrete wavelet transform (DWT) on the active power time sequence data segment obtained in step one, extracting high-frequency detail coefficient extreme values and low-frequency approximation coefficient extreme values as load mutation features; and a composite feature vector sequence is constructed; step three, performing iterative analysis on the feature vector sequence by using a dynamic weight fuzzy C-means clustering algorithm (DFCM), and establishing an initial load feature library; through three-level criteria of active power interval pre-screening, reactive power overlap rate checking and voltage and current feature consistency matching, fast classification and power interval identification of a new load sample are realized, and decision support is provided for intelligent dispatching of a distribution network.

The invention provides a multi-tree-species configuration scheme adaptability comprehensive evaluation method, which comprises the following steps: acquiring crown form data near a junction zone through canopy form scanning, recording crown asymmetric growth amounts under blocky mixing one by one, and generating a fringe effect intensity distribution diagram in combination with the collected trunk inclination distance and inclination angle; identifying an actual coverage degree abnormal region, and dynamically adjusting the block area of the actual coverage degree abnormal region and the coverage proportion of the marginal region to obtain the adjusted boundary zone length change and marginal effect intensity change trend; and performing multi-round iterative analysis on the block area according to the change trend of the edge effect intensity, obtaining the change amplitude of the coverage proportion of the edge region in each iteration, and identifying the critical block area range with the significantly increased edge effect intensity.

The invention discloses an intelligent drilling and control method and system for pipe-jacking drilling, and relates to the technical field of intelligent control of pipe-jacking drilling, and the method comprises the steps: obtaining an initial geological map and drilling path planning information of a target area, building an initial geological model, initializing a multi-source sensing system of the front end and a body of a drilling machine, and obtaining a multi-source sensing system of the front end and the body of the drilling machine; the sensing system comprises an azimuth gamma probe, a resistivity imager, a seismic wave forepoling device and a thrust, torque, rotating speed, vibration and strain monitoring unit. In the drilling process, physical detection data of a stratum in front of a drill bit and dynamic response parameters in the current drilling state are periodically collected based on a sensing system, and a comprehensive observation data set is formed; performing data fusion and iterative analysis by using the initial geologic model as a priori basis and combining with the comprehensive observation data set to generate a three-dimensional geologic model dynamically updated along with the drilling process; and inputting the three-dimensional geologic model into a digital twin system deployed at an edge end.

The invention discloses a frequency dynamic adjustment state monitoring method and system and a medium, and relates to the technical field of sleep monitoring, and the method comprises the steps: obtaining a first sleep monitoring log subsequence and a second sleep monitoring log subsequence; traversing the first sleep monitoring log sub-sequence and the second sleep monitoring log sub-sequence to perform sleep feature analysis, performing front-back association iterative analysis on analysis results according to a sequence, and determining a first association interaction sleep monitoring feature set and a second association interaction sleep monitoring feature set; adjusting the preset first monitoring frequency and the preset second monitoring frequency to obtain a first adjusting monitoring frequency and a second adjusting monitoring frequency, and monitoring the sleep state of the target user through the sleep monitoring device. The technical problems that in the prior art, the sleep monitoring frequency is fixed, the monitoring efficiency is low, and monitoring cannot be conducted by adapting to the sleep state in real time are solved, and the technical effect of improving the sleep monitoring precision and efficiency is achieved.

The invention discloses an integrated design method for horizontal and vertical layered seismic isolation of a large-span space structure. The integrated design method comprises the steps that S1, a design target is determined; s2, preliminary design of a horizontal shock insulation layer; s3, determining the period of the vertical seismic isolation layer; s4, calculating the displacement of the shock insulation layer under the rare occurrence earthquake; s5, checking and adjusting the displacement of the horizontal shock insulation layer; s6, a vertical shock insulation layer support is designed; according to the design method, a set of complete integrated design process is provided, horizontal and vertical seismic isolation is comprehensively considered, the design difficulty is reduced, the displacement of the seismic isolation layer under the rare occurrence earthquake can be rapidly estimated through a simplified double-mass-point model and an efficient rapid nonlinear time-history analysis method, and the seismic isolation layer displacement can be rapidly estimated. And the calculation burden of traditional finite element iterative analysis is obviously reduced.

This invention discloses a data-driven method and system for optimizing the energy efficiency of waste gas treatment equipment, relating to the field of data processing technology. The method includes: obtaining a multi-point operating data sequence within a window; performing time-series iterative analysis of the window state to determine the operating vector of the window iterative structure's thermal equilibrium state and the constrained operating conditions vector of the window iterative structure; acquiring a pre-constructed distribution model of the high-efficiency operating state of a new three-chamber RTO; performing deviation analysis to determine the state distribution deviation coefficient; performing energy efficiency optimization control analysis of the waste gas treatment equipment to determine the energy efficiency uncertainty coefficient; and determining an energy efficiency optimization scheme for the new three-chamber RTO based on the state distribution deviation coefficient and the energy efficiency uncertainty coefficient. This solves the technical problem in existing technologies where optimization based on equipment operating states is difficult, leading to poor energy efficiency improvement. It achieves the technical effect of adaptive energy efficiency optimization based on equipment operating states, thereby improving the energy efficiency of waste gas treatment equipment.

The invention relates to the technical field of power resource control, in particular to a demand side response resource regulation potential evaluation method and system based on digital twinning. According to the method, a plurality of actual power consumption data of a user are counted based on a digital twin system for analysis, a response execution coefficient is evaluated based on a historical instruction execution condition, and a habit stability coefficient of the user is obtained based on the similarity between a single-day load baseline curve and a current-day load curve. And combining with the response execution coefficient to obtain an initial adjustment coefficient, and adjusting the theoretical adjustable potential value. The method comprises the following steps: obtaining a first correction potential value, carrying out instruction feedback, obtaining an actual response deviation, and further feeding back the actual response deviation to an adjustment coefficient for correction, thereby obtaining a new potential value result. And obtaining an accurate demand side response potential evaluation result based on an actual instruction execution condition by using an iterative analysis algorithm.