72results about How to "Simplify the analysis process" patented technology

The invention discloses a fracture diagnosis method and device, and belongs to the technical field of oil and gas reservoir fracture exploitation, and the diagnosis method comprises the steps: building a water hammer equation set through a water hammer continuity equation, a water hammer motion equation and a liquid elasticity equation; solving the water hammer equation set to obtain a distribution equation of the water head, the flow velocity and the density of the middle well section; initial conditions in the studied wellbore are determined, and expressions of water head, flow and density distribution are obtained in combination with the distribution equation; coupling the water hammer equation set with a wellhead flow boundary condition and a well bottom crack boundary condition, and calculating to obtain a water hammer pressure curve; and crack parameters are determined by adjusting crack related parameters in the well bottom crack boundary conditions. The device comprises a memory for storing a computer program and a processor, wherein the program comprises the steps corresponding to the method. According to the method, the related parameters of the fractures after fracturing are rapidly diagnosed based on the water hammer pressure in the fracturing process, a basis is provided for design and modification of an oil and gas resource reservoir transformation scheme, and therefore the fracturing transformation effect is improved.

The invention relates to the technical field of pilot state monitoring, in particular to a pilot state monitoring and flight data real-time synchronous fusion system, which comprises an information acquisition module used for acquiring physiological state information of a pilot and flight data information of an airplane in real time; the intelligent control module is used for controlling the operation of the camera, the electroencephalogram acquisition device and the electrocardiograph; the information processing module is used for carrying out preprocessing operation on the collected pilot physiological state information and the collected aircraft flight data; and the data fusion module is used for fusing the physiological state information of the pilot and the flight data parameters of the aircraft. The early warning assistance module is used for immediately sending out an early warning signal when an abnormality is found; and positioning information and rescue guidance are provided for a pilot under the emergency condition that the aircraft encounters danger. According to the current attention state and the task requirement of the pilot, the system can dynamically adjust the collection frequency and the collection position of the electroencephalogram collection device so as to improve the efficiency and the pertinence of data collection.

The invention discloses a seven-degree-of-freedom series-parallel structure mechanical arm for a biped robot, and relates to the field of robots, the seven-degree-of-freedom series-parallel structure mechanical arm is installed on a supporting body, and the supporting body is located on an installation fixing base. Comprising a five-degree-of-freedom series arm and a two-degree-of-freedom parallel wrist structure which is located at the front end of the series arm and connected with the series arm. According to the mechanical arm with the series-parallel connection structure, the rigidity and the bearing capacity of the mechanical arm are improved, the working space is expanded to adapt to more complex operation tasks, the stability and the reliability of operation are enhanced, error accumulation is reduced, and the accuracy of overall operation is improved.

The invention discloses a number-real fusion test method for reliability of a blade disc structure of an aero-engine, and is applied to the field of time-varying reliability evaluation of the aero-engine. The method comprises the following steps: acquiring response data of a key part of a leaf disc structure under a full flight cycle; establishing a finite element virtual entity to obtain a time-varying input variable and a time-varying output response of the aero-engine bladed disc structure under the full flight cycle; establishing a physical information embedded loss function, and establishing an optimal physical information embedded multi-response regression model based on a Bayesian neural network inference framework; and extracting a large batch of time-invariant data sets, fitting a limit state function by using the established multi-response regression model, and calculating the reliability of the time-varying system based on the Monte Carlo thought to complete the reliability evaluation of the time-varying system. According to the method, a complex time-varying reliability evaluation problem is converted into a time-invariant response regression problem, and the calculation precision is effectively improved while the calculation task is simplified.

The invention discloses an efficient data annotation method and system, electronic equipment and a storage medium, and relates to the technical field of image data annotation, and the method comprises the following steps: carrying out the frame selection of a sample image through an image annotation platform, and carrying out the manual image annotation, and obtaining an annotation sample; constructing an AI big data annotation model, and training the AI big data annotation model by analyzing the contour features of the annotation samples; after the training is completed, performing efficient and automatic annotation on the image through an AI big data annotation model; the method is used for solving the problems that the intelligence of image data annotation is insufficient and the data basis of AI data annotation is insufficient due to the fact that an existing image data annotation technology depends too much on manual annotation and image features are difficult to unify.

The invention relates to the field of bridge structure performance monitoring, in particular to a method, system and device for recognizing vortex-induced vibration of a bridge, and the method comprises the steps: carrying out the mean removal and high-pass filtering of time history monitoring signal data # imgabs0 # of bridge vibration; determining a 0 phase point and a # imgabs2 phase point in the # imgabs1 #, and eliminating redundant data before the 0 phase point and redundant data after the # imgabs3 phase point to obtain a data sequence # imgabs4 # of a complete period; according to the # imgabs5 #, an amplitude sequence # imgabs7 # of an upper envelope line of the # imgabs6 # is obtained through calculation; the identification index # imgabs9 # of bridge vortex-induced vibration is obtained through calculation according to # imgabs8 #, # imgabs10 # is set to be a preset identification threshold value, when # imgabs11 # is larger than or equal to # imgabs12 #, vortex-induced vibration of the bridge is identified, the system adopts the method for identifying the bridge vortex-induced vibration, the device can execute the method for identifying the bridge vortex-induced vibration, and through the setting, the method for identifying the bridge vortex-induced vibration can be used for identifying the bridge vortex-induced vibration. The stability degree of the bridge vortex-induced vibration identification index is improved, and the calculation amount of the analysis process is reduced.

The invention discloses an animal state rapid discrimination method and system based on hierarchical behavior information, and is applied to the technical field of animal behavior analysis, and the method comprises the steps: obtaining an animal spontaneous behavior; performing behavior analysis on the animal spontaneous behavior, and decomposing the animal spontaneous behavior into an action module; and calculating the action conversion frequency of the animal in the preset time and the behavior ratio of the sniffing action and the carding action, and judging the animal behavior state based on the data of the original database. According to the method, the animal does not need to be trained in advance, and the behavior state of the animal can be identified only by recording the spontaneous behavior of the animal and carrying out fine action analysis and calculation.

The invention discloses an energy prediction method for a high-energy-density material structure, and solves the problems that an existing method cannot effectively characterize and extract features of basic parameters of a material, considers correlation among data and cannot accurately evaluate detonation performance of the high-energy-density material, and the method comprises the steps of obtaining the basic parameters of the high-energy-density material; constructing a crystal structure directed graph, calculating a density value of the high-energy density material based on a first principle and in combination with the crystal structure directed graph, executing a generation enthalpy prediction model, and outputting a predicted generation enthalpy of the high-energy density material; according to the method, the density value of the high-energy density material is calculated by constructing the crystal structure digraph and combining the crystal structure digraph based on the first principle, and the enthalpy prediction model can fully consider the correlation between data, so that the important characteristics of influencing the density value and predicting and generating an enthalpy prediction result are highlighted; and accurate evaluation of the detonation performance of the high-energy-density material is ensured.

The invention discloses a method and terminal for detecting glass defect characteristics, and the method comprises the steps: carrying out the line-by-line scanning of glass through employing a line-scan digital camera, and switching a preset type of light source condition for each line of image during the scanning; respectively acquiring exposure data of each row of images under a corresponding light source condition; splitting the collected exposure data into a plurality of sub-images according to light source conditions, and splicing image lines under each light source condition to generate corresponding independent light source images; based on each independent light source image, extracting an image with clearest defect features as an optimal image; and performing defect detection on the optimal image by using a deep learning model, and outputting defect positions and types.

The invention relates to a lamp bead position identification method and device, equipment and a product, and the method comprises the steps: constructing a lamp chain data structure according to the total number of lamp beads to represent the serial position of each lamp bead, and distributing each lamp bead to at least two lamp groups according to the serial position; a special color matching set of each lamp group is determined, and a unique color matching sequence of each lamp bead in the lamp group where the lamp bead is located is coded according to each color in the special color matching set; according to the color matching sequence corresponding to each lamp bead, a synchronous color developing instruction is constructed and sent to a lamp chain, and the lamp beads are driven to synchronously switch light colors; acquiring image frames corresponding to synchronous switching of light colors each time by using a camera unit to form an image sequence, and identifying a color developing sequence of the lamp beads according to the image sequence; and according to the correspondence between the color developing sequence and the color matching sequence, determining the spatial position of the lamp bead in the graphic space constructed by the image plane of the corresponding image sequence. According to the invention, the accuracy and efficiency of identifying the lamp beads can be improved.

The embodiment of the invention relates to the field of Java application performance analysis, and discloses a thread stack performance analysis task processing method and system. The method comprises the steps that according to historical performance analysis data, the occurrence frequency of thread stack entry endpoints is determined; adaptively adjusting an initial weight value in a current thread stack performance analysis task according to the frequency to obtain a target weight value; wherein the initial weight value is used for representing a uniform weight value set in an initialization stage of the thread stack performance analysis task; according to the target weight value, adaptively adjusting an initial snapshot sampling rate to obtain a target snapshot sampling rate, and processing a thread stack performance analysis task according to the target snapshot sampling rate; wherein the initial snapshot sampling rate is used for representing a unified sampling rate set in an initialization stage of the thread stack performance analysis task. The technical problems that in the prior art, the burden of data processing is increased, and computing resources and storage space are wasted can be at least solved.

The invention discloses a wind turbine generator impedance characteristic parameter sensitivity analysis method and system, and relates to the technical field of new energy power generation system stability analysis and control, and the method comprises the steps: building a wind power plant grid-connected system impedance model based on a DQ coordinate system; calculating the impedance sensitivity of the wind power plant grid-connected system according to the DQ impedance of the wind power plant grid-connected system; and according to an impedance sensitivity analysis result, obtaining a parameter with the maximum influence on the impedance of the wind power plant grid-connected system. According to the method, by calculating and analyzing the impedance sensitivity, the influence degree of each parameter on the impedance characteristic of the wind power plant can be quantified, and key parameters causing instability of the system can be optimized and adjusted in a targeted manner; compared with a traditional characteristic value analysis method, impedance analysis does not need to depend on the internal structure and parameters of the wind turbine generator, only the impedance model needs to be obtained through measurement, the analysis process is simplified, and the analysis efficiency is improved.

The invention relates to the technical field of unmanned aerial vehicle flight path planning methods, in particular to a multi-unmanned aerial vehicle cooperative flight path planning method based on a double-layer rasterized map model. The method comprises the following steps: firstly, determining a to-be-detected target needing to be subjected to power auditing, then determining a first height and a second height according to the to-be-detected target, and further establishing a double-layer rasterized map model according to the two heights; the first piloting unmanned aerial vehicle sails on the top-layer grid plane according to the determined piloting track to achieve camera shooting and sampling above the to-be-detected target, and the second piloting unmanned aerial vehicle sails along with the first piloting unmanned aerial vehicle on the bottom-layer grid plane to achieve camera shooting and sampling below the to-be-detected target. The method is simple and convenient, few in uncontrollable factors, good in track controllability and high in practicability.

The present invention belongs to the technical field of fermentation, and discloses a fermentation process control service system and method for a fermenter based on cloud computing; the system comprises: a device end collects fermentation parameters in real time during the fermentation process, and sends the fermentation parameters to a cloud computing platform; the fermentation parameters include fermentation characteristic parameters and fermentation control parameters; the cloud computing platform analyzes the fermentation characteristic parameters to obtain optimal fermentation control parameters; the cloud computing platform identifies deviation parameters in the fermentation control parameters collected in real time; the cloud computing platform determines whether to generate an early warning instruction or an adjustment instruction according to the deviation parameters; if an adjustment instruction is generated, the cloud computing platform calculates the adjustment amount corresponding to each deviation parameter, and sends the adjustment amount to the corresponding device end; the present invention realizes intelligent monitoring and control in the fermentation process through the cloud computing platform, can effectively control the fermentation quality and output, improve the fermentation efficiency, and thus improve the automation level and stability of the fermentation process.

This invention provides a method and apparatus for accurately determining the solubility of rare earth oxides in high-temperature molten salt. It relates to the field of rare earth oxide solubility detection technology, and overcomes the measurement errors caused by severe volatilization of molten salt under high-temperature conditions and the presence of undissolved rare earth oxide or rare earth fluoride particles in the obtained samples, which are present in existing technologies. Furthermore, by using rare earth fluorides instead of rare earth oxides, the amount of rare earth oxides dissolved in the rare earth fluoride-alkali metal fluoride mixed molten salt can be accurately measured, avoiding indirect analysis errors and greatly improving the accuracy of rare earth oxide solubility determination results in high-temperature molten salt.

The application discloses a kind of lens focal length fast measurement method and measurement system based on differential symmetry method, including obtaining the equivalence between multiple differential interference charts;Evaluate the correlation between focal length and multiple differential interference charts;Set focal length search range, calculate the evaluation function at each position in the range and determine the minimum value, the focal length corresponding to the minimum value is the focal length to be measured.The measurement method proposed in the application does not need to move the device repeatedly, eliminates the influence of initial position distance error, the range is not limited by the length of track, simplifies the measurement principle and analysis process, avoids the need for precise positioning of the measured lens to the horizontal distance of CCD in the experiment, and the symmetric interference chart acquisition solves the influence of experimental environment change on single experimental chart in the experiment, so that only the differential distance ΔL is controlled in the whole measurement process, and simple, efficient, high-precision and large-range measurement of the lens can be realized.

The invention discloses a four-paddle forced self-propulsion test and self-propulsion factor analysis method for a conventional drainage type ship, and the method comprises the steps: firstly carrying out the four-paddle forced self-propulsion test for the conventional drainage type ship, and then carrying out the four-paddle forced self-propulsion factor analysis. A four-paddle forced self-propulsion test, a double-paddle forced self-propulsion test, a double-inner-paddle forced self-propulsion test and paddle unloading idling are carried out in a conventional drainage type ship four-paddle forced self-propulsion test. And then four-propeller forced self-propulsion factor analysis is carried out on the test. The four-paddle forced self-propulsion test method is reasonable in process, and necessary test data can be provided for subsequent self-propulsion factor analysis.

The invention discloses a high-throughput near-field dynamics numerical simulation method for in-service equipment damage fracture analysis, which uses a neural network to assist in solving to improve model solving efficiency, and combines a near-field dynamics basic theory, a high-throughput calculation method and a data driving model to carry out research. A nuclear reactor system in-service equipment near-field dynamic damage fracture analysis and calculation model is established, a near-field dynamic damage fracture solving high-throughput method is developed, mass data is acquired, and a data driving model based on a neural network is established. According to the method, the solving efficiency of the elastic-plastic near-field dynamic model of the pressure vessel can be greatly improved.

The application provides a non-target detection device and system based on a nanopore and a detection method thereof, the non-target detection device and system based on a nanopore are used for non-target detection of a complex matrix through a nanopore, feature extraction is performed on a nanopore detection graph, and sample classification is realized through model construction, the detection method does not make a prior definition on a to-be-detected target, and various molecular information existing in serum is acquired in a net catching manner, non-target capture and overall state analysis of various molecules in serum are realized, and a new way of rapid and portable disease screening is provided.The application breaks through the limitation of traditional single marker detection by combining the nanopore technology and machine learning, and is expected to promote the development of precision medicine in a more efficient and comprehensive direction.

The invention relates to the technical field of electronic information, in particular to a capacitance sensing-based inspection quality reverse calibration method, which comprises the following steps that: a capacitance sensing circuit inputs excitation voltage to a calibrated inspection quality simulator, and reads an output voltage value in the capacitance sensing circuit to obtain circuit gain of the capacitance sensing circuit; placing the inspection mass in the electrode cage, and enabling the inspection mass to be located at the center position of the electrode cage; the capacitance sensing circuit is controlled to input excitation voltage to the inspection mass, and the output voltage value of the electrode cage is read in the capacitance sensing circuit; obtaining the input tolerance of the capacitance sensing circuit according to the circuit gain and the output voltage value; the posture of the electrode cage is adjusted, so that the relative distance between the electrode cage and the inspection mass is changed, and the calibration relation between the relative distance and the capacitance formed between the inspection mass and the electrode cage is obtained. Through standard transmission, the capacitance sensing circuit is used as a standard to reversely calibrate the inspection quality, the measurement error is reduced, and the operation is simple.

The invention relates to the technical field of refractory material numerical simulation, and discloses a refractory material multi-particle dispersion distribution RVE model, which comprises the following steps of: generating position coordinates of particles with predetermined sizes in a given numerical value region by adopting a random sequence adsorption algorithm RSA, judging whether new particles are overlapped or interfered with existing particles or not, if yes, judging whether the new particles are overlapped or interfered with the existing particles, and if not, judging whether the new particles are overlapped or interfered with the existing particles; through secondary development of finite element software, on the basis of an RSA algorithm, a mesoscopic RVE model of refractory material circular particles randomly distributed in a matrix phase is constructed through Python language programming. According to the refractory material multi-particle dispersion distribution RVE model, a random sequence adsorption (RSA) algorithm is achieved in finite element software, the random distribution RVE model of circular particles in the refractory material is established by means of Python, and the model can effectively simulate the microstructure of composite materials such as the refractory material and associate the microstructure with macroscopic performance; and theoretical support is provided for material design and optimization.

The embodiment of the application discloses a kind of nuclear power plant passive system reliability evaluation methods, belong to system reliability evaluation technical field, solve the problem that existing system reliability evaluation method cannot truly reflect the failure probability and main contribution factor of passive system.The nuclear power plant passive system reliability evaluation method includes the following steps: whether the passive system can be analyzed to carry out the explicit function division of hardware configuration scheme, if yes, the passive system is functionally divided, and all hardware configuration schemes obtained;And each hardware configuration scheme and its corresponding physical process failure probability are logically combined to obtain the system failure probability of the passive system system;If not, the system failure probability of the passive system is obtained based on sampling mode.The system failure probability of passive system obtained by the method in the application is closer to the real situation of passive system.

This invention discloses a method for evaluating the anti-sliding stability of transmission tower pile foundations on slopes under rainfall conditions. The method decomposes the stability evaluation problem of transmission tower foundations under rainfall-induced landslide conditions into several sub-problems: First, the basic parameters of the slope and future rainfall information released by the meteorological station are obtained to determine the shear strength parameters of the slope soil after rainfall time t. Based on these parameters, a numerical method is used to determine the stability state of the slope. If the slope is unstable, the relative position of the foundation and the potential sliding surface is first determined. If the foundation is above the potential sliding surface, the transmission tower will fail. If the foundation is partially below the potential sliding surface, the rotation angle of the foundation is calculated based on the soil conditions at the bottom of the foundation. The stability of the transmission tower is then determined according to the maximum allowable tilt value of the transmission tower specified in the "Operation Regulations for Overhead Transmission Lines".

The present invention discloses a capture probe-based amplicon library construction method and its application, which belongs to the field of medical technology. The present invention realizes a library construction technology that performs probe capture and multiple primer amplification in the same process: using probe hybridization capture to perform non-directional enrichment of DNA / RNA templates and using primers to perform specific enrichment of target fragments to construct libraries, respectively, to achieve DNA and RNA co-construction of libraries. The above method is suitable for detection technologies such as MRD that require trace sample library construction and mutation information amplification, and can simultaneously analyze DNA-level variation SNV / INDEL / fusion variation and RNA-level fusion variation, thereby improving detection sensitivity, while reducing clinical biological background noise caused by the probe method and improving clinical specificity.

The invention relates to the technical field of simulation design, and particularly discloses an offshore wind power cable constant voltage simulation system, which comprises an acquisition module for determining a target section and a corresponding acquisition period based on an initial value, and drawing a curve of performance score changing with time in the acquisition period; the analysis module is used for classifying the initial factors; calculating a target value, and obtaining a working condition according to the target value and the classification of the initial factors; recording the to-be-determined score, and drawing a curve of the to-be-determined score changing with time; and the result module is used for calculating a judgment value and acquiring a target factor in the initial factors based on the judgment value. According to the method, the accuracy and the reliability of performance simulation evaluation of the offshore wind power cable are remarkably improved.

The invention relates to the technical field of big data and the field of financial science and technology, and discloses a data annotation and analysis method, which comprises the following steps: acquiring a data set containing a to-be-annotated field and a business field, creating an annotation task based on the data set, determining an annotation template, annotating the to-be-annotated field based on the annotation template, and generating an annotation result; and checking the annotation result, generating metadata corresponding to the annotation result, and performing data analysis on the annotation result based on the metadata to generate an analysis result. According to the method and the system, the data annotation and analysis functions are integrated in the same system, so that the analysis process after data annotation is simplified, the dependence on an additional system is reduced, the utilization efficiency of a data annotation result is improved, the integrated processing of data analysis is realized, and support is provided for real-time and accurate analysis.

The invention discloses a method and device for constructing a social network relationship graph, equipment and a storage medium, and relates to the technical field of data processing. In the method, in response to a click operation of a first user, target social software is determined; if the target social software is authorized, obtaining target account information; judging whether the target account information is consistent with the personal information or not; when the target account information is consistent with the personal information, determining to acquire first target data from the target social software; processing the first target data to obtain multiple pieces of network relationship information; and constructing the multiple pieces of network relation information to obtain a target social network relation graph, and displaying the target social network graph to the first user, so that the first user can check the target social network graph corresponding to the target social software. By implementing the technical scheme provided by the invention, the efficiency of constructing the social network relationship graph is remarkably improved, and the problem of low efficiency during manual construction is solved.

The invention provides an estuary area composite salt and drought multivariable risk assessment method and system, and relates to the technical field of hydrology and water resources. Aiming at the lack of recurrence period evaluation means capable of simultaneously quantifying the drought and salt tide coupling effect and accurately depicting multivariable features and joint probability of a composite event during estuary composite salt drought risk prediction in the prior art, a standardized composite salt drought index is constructed, and event feature variables are identified based on a run-length theory; and a Copula function is used to establish joint probability distribution of duration and severity, and finally a technical path of a co-occurrence recurrence period and a joint recurrence period is calculated, so that the accuracy and comprehensiveness of a traditional single variable recurrence period in evaluating the multi-dimensional risk of the composite event are improved. According to the method, through multi-distribution optimization, experience fitting and multi-scale verification, the precision and reliability of composite salt and drought event identification are improved, and a hierarchical and quantifiable risk decision basis is provided for estuary region water resource management, disaster early warning and engineering fortification.

The present invention discloses a method, device and storage medium for rapid analysis of EM / IR of integrated circuit layout. The present invention loads the acquired load current corresponding to the effective MOS tube to the position where the power wiring of the effective MOS tube is located; based on the loaded load current, the resistor network of the configuration area of ​​the effective MOS tube is extracted and a resistor network matrix is ​​established; based on the resistor network matrix, the electrical index parameters for analyzing EM / IR in the circuit wiring related to the effective MOS tube are calculated; and the analysis result of EM / IR of the integrated circuit layout is output.

The invention discloses a CO2 huff-puff effect evaluation method, device and equipment and a storage medium, the method comprises the following steps: firstly, judging crude oil types, and determining a judgment parameter I and a judgment parameter II by combining the sum of carbon number contents corresponding to the crude oil types before and after huff-puff and the sum of carbon number contents corresponding to non-raw material types before and after huff-puff; according to the method, on the basis of raw material types, a CO2 throughput effect evaluation result is obtained by combining a threshold range to which a judgment parameter I and a judgment parameter II belong. According to the method, the CO2 huff-puff effect is evaluated from the perspective of crude oil total hydrocarbon composition and light-medium-heavy component change rules, and the CO2 huff-puff effect is qualitatively and quantitatively evaluated through the microscopic change of crude oil total hydrocarbon components.