146 results about "Iterative analysis" patented technology

The invention relates to the technical field of landslide motion simulation, in particular to a landslide motion simulation method based on a motion model. The method comprises the following steps: acquiring data of a target landslide area; generating complete topographic feature data through landform identification and difference complementation; performing topographic analysis on the data; identifying a landslide-prone area, constructing a three-dimensional model, judging a critical state, performing risk weight calculation, and generating a probability distribution set of the landslide-prone area; performing path analysis to obtain an initial motion track and a probability prediction model thereof, constructing a three-dimensional dynamic simulation scene, performing iterative analysis, finally generating a landslide motion simulation result, and establishing a dynamic risk early warning and emergency response model to improve the prevention and control capability of landslide disasters. According to the invention, a more accurate and more reliable landslide motion simulation method is realized.

The invention relates to the technical field of soft soil area building engineering construction monitoring, and discloses a soft soil area static pressure pile soil squeezing characteristic time effect monitoring and analysis method, which comprises the following steps: arranging a multi-source sensor array in a construction area, and collecting signals such as soil displacement and pore water pressure; and after noise filtering, time sequence alignment and data normalization preprocessing, a layered soil body finite element model is established. A mathematical model with the soil squeezing effect associated with time is constructed in combination with time sequence analysis, a prediction model based on machine learning is used for predicting soil body response, and model parameters are adjusted through an optimization algorithm. And judging whether convergence occurs or not according to a model prediction error so as to dynamically adjust the sensor array and form a closed-loop iterative analysis process. The method can comprehensively and accurately monitor and analyze the soil squeezing characteristic time effect of the static pressure pile in the soft soil area, provides a scientific basis for construction decision making, and guarantees engineering safety and quality.

The invention relates to an intelligent maintenance decision method and system based on a knowledge graph, and relates to the technical field of intelligent operation and maintenance and decision support and information, and the method comprises the steps: obtaining the operation state data and historical maintenance data of industrial equipment; constructing an industrial knowledge graph and generating an incidence relation model; an optimal maintenance path is obtained based on the analysis of the relationship between the fault type and the maintenance path; optimizing a maintenance task allocation scheme through the optimal maintenance path, the incidence relation model and the maintenance resource constraint condition; carrying out maintenance time window dynamic adjustment analysis to obtain an optimal maintenance strategy; and finally, performing multi-objective optimization iterative analysis to obtain a final maintenance decision. According to the scheme, various factors can be comprehensively considered, and the scientificity and the accuracy of maintenance decision making of the industrial equipment are improved.

The invention provides an AI-driven industrial decarburization process control method and system based on feedback regulation, and relates to the technical field of industrial control, and the method comprises the steps: executing industrial decarburization process monitoring, and obtaining a process operation data stream sequence; performing process working condition time sequence iterative analysis; matching is carried out in a pre-constructed causal knowledge base; traversing the associated causal clue set to perform historical data backtracking exception investigation to obtain an exceptional associated causal clue set and an exception degree set; and performing feedback control scheme identification to obtain a target feedback control scheme, generating a feedback adjustment instruction, and issuing the feedback adjustment instruction to the control execution module to execute the target feedback control scheme. According to the method and the device, the technical problem that in the prior art, due to the fact that static model prediction or empirical rule-based judgment is mainly adopted, real-time tracing and dynamic intervention of process-level carbon emission abnormity are difficult to achieve, and the carbon emission control effect in a complex environment is not ideal is solved, and the control effect of the industrial decarburization process is improved.

The invention discloses a public opinion report generation method based on a large language model. The public opinion report generation method comprises the following steps: S1, extracting description information of a public opinion event from user input by adopting a pattern matching method; s2, performing keyword extraction and semantic expansion on the description information by utilizing a large language model (LLM); s3, using the processed keywords to retrieve information related to the public opinion event, and sorting the retrieved information; s4, performing multi-dimensional feature quantification processing on the public opinion information, reordering the public opinion information, and screening a specified number of information from the reordered public opinion information by adopting a down-sampling function to serve as background data of the public opinion report; s5, inputting the screened background data into a large language model, and generating a final public opinion report through iterative analysis; according to the method, the public opinion report is automatically generated, and a multi-dimensional feature quantification processing and information reordering mechanism is adopted, so that the selected public opinion information is highly related to the event and is important, and the public opinion report is more accurate and comprehensive.

The invention provides a line loss reason analysis and positioning method and system based on artificial intelligence and a medium, and relates to the technical field of power system management.The method comprises the steps that when the bus loss rate of a target station area exceeds a preset line loss threshold value, an excitation sequence is issued to a general meter, a circuit breaker and a user electricity meter of the target station area, respectively obtaining corresponding transient response data, and further constructing a dynamic topological graph of the target transformer area; and a topological structure is optimized by combining a graph neural network and an attention mechanism, and abnormal connection points are detected. And determining downstream associated user electric meters, and calculating the power utilization abnormity score based on the load data. And injecting a steep front traveling wave signal into the electric meter with the highest score to obtain a reflection characteristic parameter. And performing iterative analysis by using a Double DQN reinforcement learning algorithm, determining a fault point, a line loss reason type and confidence, and realizing efficient and accurate line loss reason positioning and analysis. According to the invention, efficient and accurate troubleshooting of line loss reasons is realized.

The embodiment of the invention provides a data query method and device based on multi-agent iteration, and relates to the technical field of data query. The method comprises the steps that through iterative analysis of a decomposition agent and an optimization agent, a user question text is decomposed, and a plurality of corresponding sub-target query statements are generated; retrieving in a query database based on the plurality of sub-target query statements to generate a first talent information record set; vectorizing the user question text to obtain a question text feature vector, and obtaining a second talent information record from a vector query library based on the question text feature vector to generate a second talent information record set; talent information records in the first talent information record set and the second talent information record set are matched and fused, a target comprehensive talent information record set is obtained, and a query result corresponding to the user question text is obtained. The talent recommendation method and device are used for improving talent recommendation efficiency and accuracy, and meanwhile computing resource consumption is reduced.

The invention relates to the technical field of power system planning, and discloses a method and a system for site selection of a network construction type energy storage power station in a high altitude area. The method comprises the following steps: acquiring the power and working time of each node of the energy storage power station; performing proportion calculation according to the power of each node and the working time of each node to obtain a load proportion; performing line loss calculation according to the load proportion to obtain line loss power; performing numerical comparison according to the line loss power to obtain an average loss value and charging efficiency; according to the average loss value and the charging efficiency, operation is carried out, and the line energy consumption is obtained; and according to the line energy consumption and the power of each node, carrying out line loss value iterative analysis operation, and determining the site selection scheme when the line loss value reaches the minimum value as the optimal site selection scheme. The method considers the influence of special climate conditions of the high-altitude area on the operation efficiency of the energy storage power station, and can improve the operation efficiency of the energy storage power station.

The embodiment of the invention provides a software package construction method and device and electronic equipment, and is applied to first equipment, the method comprises the following steps: determining a first software package with dependency loss as a to-be-analyzed software package, and determining a dependency object of the loss of the to-be-analyzed software package; acquiring a compiling file corresponding to the dependent object from second equipment; recording a compiled file of the dependent object and a dependency relationship between the dependent object and the to-be-analyzed software package in a database; determining the compiled file of the dependent object as a new to-be-analyzed software package, continuing to perform iterative analysis on the new to-be-analyzed software package, and stopping analysis until the obtained compiled file does not have a missing dependent object; and according to the dependency relationship and the compiling file recorded in the database, reversely constructing the software package corresponding to each dependency object in sequence until the software packages corresponding to all the dependency objects are constructed, and obtaining a target software package. According to the embodiment of the invention, the construction efficiency and accuracy of the software package are improved.

The invention relates to a working face gas concentration long-time prediction method based on a DTW-BiT-Times Net model, and belongs to the technical field of coal mine safety monitoring. The method comprises the following steps: collecting monitoring data of gas, air speed and dust sensors of a working face and an air return site for more than three continuous months, and extracting sub-mean values to form a data column; data preprocessing is completed through verification data filtering, time-lag correlation analysis and anomaly correction; and constructing a DTW-BiT-Times Net model, fusing first k frequency corresponding periods, a mine shift period and a cyclic operation period of frequency domain analysis, iteratively analyzing multi-dimensional time sequence characteristics by utilizing a weighted summation formula, and performing model training and verification by adopting a Soft-DTW loss function to realize long-time prediction of the gas concentration of the working face. The problems of error accumulation, feature loss and insufficient robustness are solved through multi-sensor data association verification, dynamic anomaly correction and periodic feature embedding.

The invention relates to the technical field of navigation signal analysis, in particular to a QPSK (Quadrature Phase Shift Keying) non-cooperative navigation signal analysis method and a QPSK non-cooperative navigation signal analysis system for multi-domain feature joint estimation. Traversing phases in the phase sequence in sequence, and obtaining an energy threshold value in combination with the center frequency estimation value of the current section; performing iterative analysis on the frequency and the phase to obtain estimated values of the frequency and the phase; obtaining a complex baseband signal through the estimated values of the frequency and the phase; judging whether IQ code crossing occurs or not according to a cross-correlation relationship between the complex baseband signal and a local code stream sequence, and if the code crossing occurs, performing adjustment to obtain a corrected I-path baseband signal and a corrected Q-path baseband signal; adjusting the length of a chip through a code rate so as to reconstruct a code element sequence and obtain I-path and Q-path pure code element sequences; and taking the I-path and Q-path pure code element sequences as analysis results of the non-cooperative navigation signals. According to the invention, the accuracy of analyzing the non-cooperative navigation signal is improved.

The invention discloses a dynamic air pressure sensing bronchial occluder cuff air tightness detection method and device, and relates to the technical field of air tightness detection, and the method comprises the steps: carrying out the inflation test of a target bronchial occluder, carrying out the continuous monitoring of air pressure, and obtaining an air pressure monitoring data sequence; determining the overall air tightness of the final assembly to obtain an overall air tightness determination result of the final assembly; if the overall airtightness of the final assembly is abnormal, performing a dynamic inflation and deflation test on the target bronchial occluder to obtain a springback air pressure monitoring data sequence, performing time sequence iterative analysis and prototype identification on the springback air pressure monitoring data sequence, and determining a target airtightness abnormal prototype; when the abnormal type is air leakage of the cuff body, a closed pressure maintaining test is carried out, and a target cuff air tightness monitoring result is obtained. The technical problem that in the prior art, the abnormal type of the air tightness of the bronchial occluder cannot be accurately recognized in the final assembly state is solved, and the technical effect of automatically recognizing the abnormal type under the final assembly condition is achieved.

The invention discloses a hidden danger early warning method, device, equipment and medium for a construction site, and the method comprises the steps: determining the initial hidden danger data of a target construction hidden danger region according to the image data of the target construction hidden danger region, and determining the initial hidden danger data of the target construction hidden danger region according to the image data of the target construction hidden danger region; determining a structured prompt word corresponding to the image data of the target construction hidden danger area, determining target hidden danger data of the target construction hidden danger area according to the structured prompt word corresponding to the image data of the target construction hidden danger area, and determining a hidden danger early warning level of the target construction hidden danger area according to the target risk level and a corresponding relation between a preset risk level and a hidden danger early warning level. And determining a target hidden danger early warning level, and performing early warning according to the target hidden danger early warning level. According to the method, logical reasoning and iterative analysis are carried out by using the structured cue word corresponding to the image data of the target construction hidden danger area, so that the target hidden danger data of the target construction hidden danger area can be rapidly and accurately obtained, and then the hidden danger early warning efficiency and accuracy can be improved.

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.

The invention discloses a transmission optimization method and system for an unmanned aerial vehicle-mounted high and low orbit Ku frequency band satellite terminal, and relates to the technical field of satellite communication, and the method comprises the steps: monitoring a communication link of the Ku frequency band satellite terminal of an unmanned aerial vehicle, evaluating the transmission stability, and generating a transmission stability evaluation result; link selection is carried out in combination with a satellite link coverage range, and a link selection decision is made; dynamically adjusting a satellite terminal, switching a satellite link and carrying out data transmission monitoring to obtain a link quality index set; iterative analysis is carried out by combining flight state data of the unmanned aerial vehicle, and transmission optimization is carried out by backtracking to a Ku frequency band satellite terminal according to an analysis result. The technical problems of unstable transmission and poor link quality when the unmanned aerial vehicle communicates with the high and low orbit Ku frequency band satellite in the flight process are solved, and the technical effects of stable transmission of communication between the unmanned aerial vehicle and the high and low orbit Ku frequency band satellite, improvement of the link quality and meeting of efficient and reliable communication requirements are achieved.

The invention discloses a static full-system taint source analysis method and system. The method comprises the following steps: acquiring a static representation of a source code; extracting a propagation rule of the control flow, and searching to obtain at least one global propagation path; iteratively analyzing variable introduction in a code statement of the precursor node in the global propagation path, and determining a pollution source node; when the code statement contains the pointer assignment, executing an alias acquisition algorithm; when it is judged that the precursor node is a terminal node, taint source analysis on the global propagation path is terminated; and traversing all global propagation paths, and outputting a pollution source node set. According to the method, paths irrelevant to taint analysis are effectively filtered out by combining reverse and forward search propagation paths on the basis of a propagation rule of a control flow. According to the method, global pollution source information is obtained by combining intra-process and inter-process analysis methods, precursor node calculation and alias acquisition are fused in a propagation path, and how taint data influence a global program state can be tracked, so that all taint sources are effectively determined.

The invention discloses a sensitive data security protection method and system based on big data, and relates to the technical field of data processing. According to the method, the collected data is subjected to two-dimensional grading processing of risk level and use frequency, and a multi-layer sensitive data envelope with the sensitive degree gradually increased from outside to inside is constructed, so that refined layering and structured packaging of sensitive fields are realized, and the security granularity of data management is greatly improved; a unique code identifier is written into each layer of envelope and a hierarchical envelope data set is formed, so that the data access traceability and localization are remarkably enhanced; a node access path sequence is constructed by using an access behavior log, and abnormal access fragments are identified through iterative analysis, so that the anomaly detection is more accurate and has a mode identification capability; and a multi-level operation chain is further generated based on abnormal access feedback, so that the sequential logic and the risk level are jointly analyzed, and dynamic and fine-grained access strategy adjustment is realized.

The application relates to the technical field of power system planning, and discloses a method and system for site selection of a network-constructed energy storage power station in a high-altitude area. The application comprises the following steps: obtaining the power of each node of the energy storage power station and the working time of each node; performing proportional calculation according to the power of each node and the working time of each node to obtain a load ratio; performing line loss calculation according to the load ratio to obtain line loss power; performing numerical comparison according to the line loss power to obtain an average loss value and a charging efficiency; performing operation according to the average loss value and the charging efficiency to obtain line energy consumption; performing line loss value iterative analysis operation according to the line energy consumption and the power of each node, and determining the site selection scheme when the line loss value reaches a minimum value as an optimal site selection scheme. The method considers the influence of special climate conditions in the high-altitude area on the operation efficiency of the energy storage power station, and can improve the operation efficiency of the energy storage power station.

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 embodiment of the invention provides a performance prediction method and system of a compressor, the compressor is designed in an air conditioning system of a vehicle, the compressor is used for adjusting the internal temperature of the vehicle, and the method comprises the steps that a parameter set matched with a performance analysis model of the compressor is obtained, the parameter set comprises different parameters required for predicting the working performance of the compressor, and the performance analysis model is established based on a dynamic heat balance rule; the parameter set is input into a performance analysis model for iterative analysis, in-vehicle temperature information of the vehicle is obtained, and the in-vehicle temperature information is used for representing the internal temperature reached by the vehicle in the target time period; determining the in-vehicle temperature information and temperature reduction information which is reduced relative to the initial in-vehicle temperature information of the vehicle; and based on the temperature reduction information, the working performance of the compressor is predicted, and a prediction result is obtained. The technical problem that the performance prediction efficiency of the compressor is low is solved.

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.

A system for obtaining optimized regular expression may convert a received input data into a plurality of embeddings. The system may receive a generated regular expression corresponding to the plurality of embeddings, wherein the generated regular expression is at least one of an existing regular expression from a database and a newly generated regular expression. The system may parse the generated regular expression into a plurality of sub-blocks. The system may classify the plurality of sub-blocks to obtain a plurality of classified sub-blocks. The system may evaluate a quantifier class for each classified sub-block to identify a corresponding computationally expensive class. The system may perform an iterative analysis to obtain a plurality of optimized sub-blocks associated with a minimum computation time. The system may combine the plurality of optimized sub-blocks to obtain the optimized regular expression.

A system identifies a song structure by using beat markings and chord strings. The process includes steps of extracting of raw features using machine learning, creating beat markings and chord strings, and receiving mashup search details. The process iteratively analyses all songs in a catalog based on tempo, key, beat markings, chord strings, and creates a mashup using specific conditions. In case no matches are found, the process attempts to pitch-shift songs. This system facilitates automatic matching of songs enhancing rhythmic interplay and harmonic cohesion. It provides a systematic, granular examination of song structures, enabling accurate, efficient music matching and permitting the creation of high-quality mashups.

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.

The invention discloses an accelerometer calibration method and device, electronic equipment and a computer readable storage medium, is applied to the technical field of micro electro mechanical systems, and aims to solve the technical problems of high accelerometer calibration cost and poor reliability in the prior art. Obtaining multiple groups of sampling data of the accelerometer to be calibrated in advance; performing iterative analysis on a pre-established error objective function based on a least square method in combination with the multiple groups of sampling data to obtain an optimal error parameter; wherein the error objective function is established based on error parameters; calibrating the measurement data of the accelerometer to be calibrated based on the optimal error parameter, so that the calibrated data is more accurate; high-precision external equipment does not need to be used, and the accelerometer does not need to be strictly attached to the horizontal plane, so that the calibration cost can be reduced, the calibration process is simplified, and the calibration precision and reliability are improved.

The application provides an ecological pasture cow breeding and health management method and system based on meteorological data, and relates to the technical field of cow breeding and health management. The method comprises the following steps: collecting meteorological data and cow breeding basic data in real time; extracting key meteorological factors affecting cow breeding; dividing meteorological suitable threshold corresponding to each breeding stage; realizing weather adaptation of cow herd screening; selecting temperature suitable period for mating operation; formulating meteorological guarantee scheme according to pregnancy stage; quantifying the influence of meteorological conditions on breeding core indicators, and optimizing breeding plan and resource allocation based on the evaluation results. Through the improved cow breeding management process, the application improves the utilization efficiency of breeding resources, provides a traceable and iterative analysis framework for breeding plan optimization, promotes the development of ecological pasture breeding management towards precision and high efficiency, and helps the pasture to reduce costs while realizing the double improvement of population quality and economic benefits.

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.

The invention discloses an intelligent security convergence processing method, system and device for a power system and a medium, and the method comprises the steps: extracting data spatial-temporal characteristics based on a neural network, generating a unique tag value through combining a device security level and a timestamp, and guaranteeing the traceability and tamper-proofing of data; carrying out credibility weighting on the equipment data through a dynamic trust weight factor, and enhancing the anti-attack capability; efficient distributed calculation is achieved through mark grouping aggregation, and real-time performance and data integrity are both considered; and finally, constructing a correlation graph, iteratively analyzing node importance, dynamically identifying suspicious equipment and isolating the suspicious equipment. Three-layer association is integrally realized, the problems of poor real-time performance and extensive features can be solved, and an active defense mechanism is established.

The invention discloses a method and device for determining aseismic design based on an earthquake PSA model, and the method comprises the following steps: firstly, building an earthquake PSA model for analyzing the aseismic design under a non-heap-melting design expansion working condition DEC-A; secondly, performing quantitative analysis on the nuclear power plant reactor core damage frequency caused by an earthquake by using an earthquake PSA model; judging whether the quantitative analysis result is within a preset safety target range or not; if the result of the quantitative analysis is not in the preset safety target range, performing iterative analysis on the aseismic design by using an earthquake PSA model; and finally, according to an iterative analysis result and engineering factors, determining an aseismic design coping with the DEC-A working condition. According to the method and the device, a basis can be provided for determination of aseismic design, and maximization of economic benefits can be realized while the safety of a power plant is not reduced.