43 results about "Property analysis" patented technology

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The application discloses a raw oil property prediction and analysis method, device, equipment and a storage medium, and comprises the following steps: generating a raw oil standard comparison model in the form of a vector matrix according to a property data sample set comprising property data of a large number of crude oil samples; each sample vector group in the vector matrix comprises vector elements including distillation point, equivalent double bond value and property data; when performing property analysis and prediction on the crude oil to be analyzed, a vector group comprising vector elements of distillation point and equivalent double bond value is generated according to the crude distillation point temperature data in the simple evaluation report and the carbon, hydrogen and nitrogen element content and the mixture molecular mass data under the corresponding distillation point; then, the corresponding similar sample is determined through the raw oil standard comparison model by means of Euclidean distance calculation, and the property data of the crude oil to be analyzed is predicted; and the application can greatly improve the detection and analysis efficiency, thereby improving the timeliness of oil product detection.

The application discloses a traditional Chinese medicine property analysis system and method, and a computer readable storage medium. The system comprises an information acquisition unit, a first analysis unit, a quantification unit and a second analysis unit. The method comprises grouping patients with consistent conditions and grouping traditional Chinese medicines according to different influencing factors; analyzing the influence of different influencing factors of traditional Chinese medicines on treatment effects; analyzing the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects; and analyzing the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines. The application analyzes the influence of different influencing factors of traditional Chinese medicines on treatment effects, further obtains the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines, and thus obtains the dosages of traditional Chinese medicines suitable for the current situation according to the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects, which is favorable to increasing the accuracy of the dosages of traditional Chinese medicines, strengthening the comprehensive understanding of the properties of traditional Chinese medicines, enhancing the modernization degree of traditional Chinese medicine, improving the persuasiveness and reliability of traditional Chinese medicine, and being favorable to the international development of traditional Chinese medicine.

The application discloses a property analysis method based on composite fertilizer infrared spectrum data, and belongs to the technical field of data processing. The method first acquires and pre-processes near-infrared spectrum data of a composite fertilizer sample; secondly, a complex teacher network comprising a graph neural network, a covariance matrix guided self-attention mechanism and a Transformer encoder is constructed; then, a lightweight network is constructed by adopting a residual dense connection mode based on a 1D-CNN; finally, knowledge of the teacher network is transferred to a student network through temperature scaling soft target supervision and a multi-level intermediate layer feature alignment mechanism, and the student network is used to realize efficient and accurate analysis of the properties of the composite fertilizer. The application effectively alleviates the overfitting problem caused by the scarcity of labeled samples, significantly improves the prediction accuracy and model generalization ability, and at the same time ensures the lightweight of the student network, facilitating the deployment and application in actual production scenes.

This invention discloses a universal detection method applicable to coal with multiple particle sizes. It includes: first, acquiring a coal sample set under a target scenario, along with the corresponding near-infrared diffuse reflectance spectra and analytical properties of each coal sample, where all coal samples in the set have the same particle size; second, determining the property analysis model and reference wavelength based on the near-infrared diffuse reflectance spectra and analytical properties of each coal sample in the set; finally, acquiring the near-infrared diffuse reflectance spectrum of an unknown coal sample, preprocessing the spectrum using the reference wavelength to obtain the corresponding standardized spectrum, and inputting it into the property analysis model, which then outputs the analytical properties of the unknown coal sample. The method proposed in this invention is applicable to coal particle sizes ranging from ultrafine powder, medium particles, and coarse particles to in-situ rough surfaces and in-situ smooth surfaces, significantly eliminating spectral scattering effects caused by the physical state of the sample and improving the accuracy of quantitative coal quality analysis.

This utility model relates to the field of drug analysis technology, specifically a rotary centrifuge-based drug property analysis and testing device. It includes a centrifuge body with a rotating shaft inside. A top cover is rotatably connected to the top of the centrifuge body. An installation component is provided on the outer wall of the rotating shaft, and a placement component is provided on the side wall of the installation component. The advantages are: by using the installation component and the placement component in conjunction, the sample can be directly placed into the microplate and vertically inserted into the limiting groove to complete the installation. Rotating to open the fixed cover allows the rotating squeezing block to press the slider, thus disassembling the microplate. This reduces the number of operation steps, supports various sizes of microplates, and solves the problems of inconvenient microplate replacement and cumbersome operation in traditional centrifuges. It not only improves operational convenience and experimental efficiency but also enhances safety, compatibility, and scalability.

The invention relates to the technical field of oil quality analysis, in particular to an aviation oil property analysis method and system based on spectral oblique projection. According to the method, when the oblique projection operator is constructed, the limitation of a traditional oblique projection operator is broken through through dynamic multi-component cooperation and self-adaptive residual error separation, key information which is in complex association with properties in the aviation oil spectrum is extracted more accurately, the pertinence and robustness of feature extraction are improved, and the accuracy of feature extraction is improved. Higher-quality input variables are provided for an aviation oil property prediction model, and the method is a core technical support for realizing high-precision aviation oil property analysis.

The invention provides an event property analysis method and related equipment. The method comprises the following steps: constructing an event property dictionary and an event property description vector library; acquiring an event description text of the real-time event; judging whether the real-time event is a valid event or not according to the event description text of the real-time event; if the real-time event is a valid event, executing the following steps: determining a first type of candidate event properties of the real-time event according to an event description text and an event property dictionary of the real-time event; according to the event description text and the event property description vector library of the real-time event, determining a second type of candidate event properties of the real-time event; and determining the event property of the real-time event according to the first type of candidate event property and the second type of candidate event property. The method can improve the accuracy and efficiency of event property judgment, can adapt to various scenes, and is high in practicability.

The invention relates to the technical field of data processing, and discloses a real-time topology locking performance evaluation method for a distribution network FA function, and the method comprises the steps: carrying out the topological relation reconstruction of the real-time topology data of a distribution network, and obtaining a network topological graph; based on a preset locking condition, carrying out locking analysis on the network topological graph to obtain regional locking distribution; carrying out situation aggregation on the region locking distribution to obtain a region needing to be locked; carrying out bimodal feature acquisition on the topological change event in the region needing to be locked to obtain average locking response time and topological change frequency; performing performance index construction on the average locking response time and the topology change frequency to obtain a real-time topology performance quantized value; and mapping the real-time topology performance quantized value to a preset performance threshold value to obtain a multi-level performance level, and generating a real-time topology locking performance evaluation result according to the multi-level performance level. According to the invention, the efficiency of evaluating the real-time topology locking performance of the distribution network FA function can be improved.

The present application relates to the technical field of oilfield exploration and development. Provided are an in-situ visual detection method and apparatus for shale oil content and properties, and a device. The method comprises: acquiring relevant experimental data of rock polished-section samples under specific experimental conditions, wherein the specific experimental conditions comprise specific experimental environment conditions and specific experimental device parameter conditions; and on the basis of the relevant experimental data, determining target data, wherein the target data is used for determining crude oil properties of shale oil in shale, and comprises data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores. The method in the present application realizes refined evaluation of light hydrocarbon recovery of shale oil and property analysis of crude oil in nanopores, which is of great significance for the calculation of resources and recoverable reserves of shale oil and the effective development of shale oil.

The application relates to a passive property analysis method, device, equipment and medium in an S parameter modeling process. The method comprises the following steps: acquiring pole points and residue matrixes of S parameter vector fitting, each pole point corresponding to a residue matrix; constructing a new S parameter rational fraction based on the pole points and the residue matrixes; constructing a judgment matrix based on the pole points and the residue matrixes; constructing a plurality of detection frequency points according to the judgment matrix; and determining a passive abnormal frequency point based on the new S parameter rational fraction and the plurality of detection frequency points. When the passive property analysis is performed in the S parameter modeling process, the pole points and the residue matrixes of the S parameter vector fitting are considered to determine the passive abnormal frequency point, the frequency at which the passive property of the S parameter will be abnormal can be quickly determined, the violation degree of the frequency point in which the passive property is seriously violated is given, the high-cost calculation process of an original Hamiltonian is avoided, the calculation efficiency is improved, and the pressure of subsequent passive property correction is reduced.

This invention relates to the field of energy management, specifically disclosing a smart energy management system based on Internet of Things (IoT) technology. The system includes: a transient event detection module, which identifies transient events and records their start and end times by estimating the probability density function of the power sequence within a sliding window and calculating the log-likelihood ratio; a start / stop load identification module, which extracts steady-state transient feature vectors and compares them with a feature library to identify load categories and start / stop states; a adjustable attribute analysis module, which determines whether a load is interruptible, transferable, or rigid by combining operational characteristics and physical property data; and an adjustable potential prediction module, which calculates the operational probability of interruptible and transferable loads in future time periods and dynamically generates a pool of actually usable adjustable potential resources. This invention achieves precise identification of user-side loads and scientific classification of adjustable attributes, dynamically quantifies adjustable potential, and improves the accuracy and adaptability of the energy management system in demand response and load control.

The invention discloses a data processing method and device, computer equipment, a computer product and a storage medium. The method comprises the following steps: receiving M financial feature data of M data parties; wherein the financial feature data is obtained by desensitizing feature data related to financial activities of the target object; then, based on the M pieces of financial feature data, determining a financial black production analysis result; the financial black property analysis result corresponds to a financial black property analysis task participated by the M data parties, the financial black property analysis result is used for representing whether the financial activity of the target object has the risk of financial black property or not, and the financial black property analysis result is based on the financial black property feature data. Processing the financial black production analysis task through a multi-party security computing method; according to the embodiment of the invention, the financial black production analysis result is determined through multi-party security calculation, so that the financial black production analysis is more accurate while the security of the data in the data processing process is ensured.

The invention relates to the technical field of geotechnical engineering, and discloses a rock fracture characteristic analysis method based on a CT image and a cohesive force unit method.The rock fracture characteristic analysis method comprises the following steps that S1, a rock test piece is prepared and subjected to CT scanning and a mechanical test, and an internal image and macroscopic mechanical parameters of the rock test piece are obtained; s2, preprocessing the CT image and establishing a three-dimensional digital model; s3, calculating the porosity of the rock test piece; establishing a quantitative relationship with Young modulus through an index model, and realizing spatial non-uniform assignment of material attributes by utilizing a finite element field variable function; s4, inserting zero-thickness cohesion units among the entity units; s5, endowing a traction-separation constitutive relation to the cohesion unit, and setting a damage starting criterion and a damage evolution rule; and S6, setting a boundary condition consistent with a physical test to perform compression numerical simulation, and comparing a simulation result with test data to verify the accuracy of the model. According to the invention, multi-scale analysis of the rock fracture characteristics can be realized, the analysis efficiency is high, and the analysis result is accurate.

This invention relates to a method, system, equipment, and medium for dynamic estimation of wastewater COD components based on sludge properties. It includes: correlating and fusing organic pollution index data with process operation data to generate a contextual feature vector; pairing and fusing a COD component baseline ratio vector with the contextual feature vector to generate a preliminary COD component time series; obtaining the ratio of biodegradable COD to total COD in the sludge sample based on sludge property analysis data; using this ratio as a sludge property constraint parameter, combined with the analytical relationship constraints of the wastewater under test during the wastewater treatment process, to perform constraint optimization and error redistribution processing on the preliminary COD component time series, thereby obtaining the dynamic estimation result of the COD components of the wastewater under test. This invention achieves high-frequency, dynamic, and physically reasonable estimation of wastewater COD components, avoiding the unidirectional accumulation of errors towards inert components and improving the accuracy of the estimation results.

The invention provides a humanoid robot self-adaptive grabbing system and method for mixed-flow assembly of industrial parts, and belongs to the technical field of artificial intelligence and precise instrument and part assembly logistics. The system comprises a material attribute analysis module, a visual feedback adjustment module, an image acquisition module and a self-adaptive grabbing module, wherein the material attribute analysis module and the visual feedback adjustment module run on a built-in computer of the robot, the image acquisition module is fixed to the head of the robot, the self-adaptive grabbing module is located on the hand of the robot, and the image acquisition module and the self-adaptive grabbing module are both connected with the built-in computer of the robot. Optical images of target parts on an assembly line are obtained, material attribute classification and vulnerability evaluation are carried out on various heterogeneous target parts, and robot hand control parameters matched with the materials are dynamically generated. The problem that when a traditional manipulator faces fragile flexible and rigid mixed industrial parts on an assembly line, the parts are cracked, scratched or deformed due to single control parameters is solved, and low-cost and high-precision flexible self-adaptive grabbing is achieved.

The invention discloses a gang analysis method for analyzing specific crowds based on peer data, and the method comprises the steps: S1, a user sets a to-be-analyzed person list and at least three types of analysis rules, and the analysis rules comprise a suspected gang member peer rule, a suspected gang merging rule and a gang property analysis rule; s2, preparing a peer data set, and filtering based on the to-be-analyzed personnel list to obtain a suspicious member peer data set; s3, analyzing the suspected member peer data set by applying the suspected gang member peer rule, extracting a suspected gang data set, and then merging the suspected gang data set into a new suspected gang data set by applying the suspected gang merging rule; and S4, based on the new suspected gang data set and the suspected member peer data set, extracting a gang occurrence place data set, and outputting a gang suspected property data set by applying the gang property analysis rule. According to the method, rule chain type driving is adopted, automatic analysis is achieved, and the method is suitable for target person behavior monitoring scenes.

The invention relates to the technical field of micro drilling, and provides a drilling characteristic analysis method, electronic equipment and a storage medium. The drilling-in characteristic analysis method comprises the following steps: acquiring continuous multiple frames of drill bit images when a drill bit is drilled, determining the position of the central axis of the drill bit according to each frame of drill bit image, determining the change information of the angle of the central axis according to the position of the central axis in each frame of drill bit image, and determining the drilling-in characteristic of the drill bit according to the change information of the angle of the central axis. Therefore, the drilling characteristics of the drill bit can be determined through image acquisition and image analysis. The image acquisition process is less affected by environmental noise, so that the accuracy of the obtained drilling characteristics can be improved. Meanwhile, the image acquisition equipment is used for replacing a piezoelectric sensor, so that the cost can be reduced.

Methods, non-transitory computer-readable media, and property analysis systems are disclosed that extract vegetation location information from overhead and LIDAR images associated with a geographic location. The images are aligned based on the extracted vegetation information. Models are applied to the aligned images based on vegetation height information extracted from the LIDAR images. A graph is then generated based on a result of the application of the models. The graph represents a relationship between vegetation, one or more buildings, and one or more fire pathways associated with the geographic location. A wildfire risk score generated based on the graph is then output for the buildings via a GUI. Thus, the disclosed technology applies wildfire spread models and graphs to vegetation and buildings identified in aligned overhead and LIDAR imagery to provide relatively accurate wildfire risk assessment to insurers and homeowners and thereby facilitate informed decision-making and preventative measures.

The invention provides a method, a device and equipment for determining crude oil properties of shale oil in shale, and relates to the technical field of oil field exploration and development. The method comprises the following steps: acquiring related experimental data of a rock X-ray plate sample under specific experimental conditions; the specific experiment conditions comprise specific experiment environment conditions and specific experiment equipment parameter conditions; determining target data according to the related experimental data; the target data is used for determining the crude oil property of shale oil in the shale, and the target data comprises data of crude oil in non-nano-scale oil-containing pores and / or data of crude oil in nano-scale oil-containing pores. According to the method, fine evaluation of shale oil light hydrocarbon recovery and crude oil property analysis in the nanopores is achieved, and the method has very important significance on shale oil resource quantity and recoverable reserves calculation and effective utilization of shale oil.

The invention relates to the technical field of coal washing process production scheduling, and particularly discloses a coal washing process production scheduling optimization system based on dynamic modeling, which comprises a production data real-time acquisition module, a dynamic raw coal property analysis module, a production state prediction module, a scheduling strategy generation module, a constraint condition verification module and an optimization decision module. According to the method, raw coal properties, equipment states and quality index data are collected in real time, dynamic representation of a raw coal selectability curve is obtained through sliding window sampling, density composition analysis and adaptive filtering processing, a Markov decision process is adopted to deduce a production state prediction sequence, a technological standard process is adjusted to generate an adaptive scheduling strategy scheme, and the method is suitable for large-scale production. After quality constraint verification, screening a feasible strategy set, finally solving a multi-objective optimization problem by taking coal washing efficiency maximization and energy consumption minimization as objectives, and outputting an optimal production scheduling instruction; raw coal property fluctuation is tracked in real time, the production state evolution trend is predicted, and it is guaranteed that the clean coal product quality reaches the standard.

The utility model discloses a furnace slag characteristic analysis device, which is applied to the technical field of furnace slag analyzers and is characterized in that a placing plate drives a furnace slag analyzer to extend out of a protective box through an air cylinder, so that personnel can take the furnace slag analyzer conveniently, and the placing plate can drive a sliding block to move in a guide rail in the moving process; through cooperative use of a sliding block and a guide rail, a placement plate can keep stable when driving the slag analyzer to move, a handle is pushed to drive a protection box to move through a connecting column and a fixing column, then the moving direction of the protection box is conveniently controlled, and through cooperative use of a fixing screw and a threaded hole, the height of the handle is conveniently adjusted; and the operation of users with different heights is facilitated.

The present application relates to the technical field of coal washing process production scheduling, and specifically discloses a coal washing process production scheduling optimization system based on dynamic modeling, comprising a production data real-time acquisition module, a dynamic raw coal property analysis module, a production state prediction module, a scheduling strategy generation module, a constraint condition verification module and an optimization decision module. The present application acquires raw coal properties, equipment states and quality index data in real time, obtains dynamic characterization of raw coal selectability curves through sliding window sampling, density composition analysis and adaptive filtering processing, deduces a production state prediction sequence using a Markov decision process, adjusts a process standard flow to generate an adaptive scheduling strategy scheme, screens a feasible strategy set after quality constraint verification, finally solves a multi-objective optimization problem with the goal of maximizing coal washing efficiency and minimizing energy consumption, and outputs optimal production scheduling instructions; the present application tracks raw coal property fluctuations and predicts production state evolution trends in real time, and ensures that clean coal product quality meets standards.

This invention relates to the field of object property analysis technology, and more particularly to a method for predicting and analyzing the long-term durability of ultra-high performance concrete. The method includes the following steps: performing durability characterization analysis of the concrete's materials and structure based on ultra-high performance concrete design parameters, generating concrete material-structure durability characterization data; establishing a mapping relationship between the state evolution trend of concrete structural properties and durability assessment based on target area environmental data, concrete test data, and concrete material-structure durability characterization data, generating a concrete durability state evolution trend assessment model; and using the concrete durability state evolution trend assessment model to predict and assess the durability of ultra-high performance concrete based on the concrete test data, generating ultra-high performance concrete durability prediction and assessment data. This invention achieves accurate prediction and analysis of the long-term durability of ultra-high performance concrete by considering its materials, structure, and environment.

The invention relates to the technical field of graphene material simulation, in particular to a graphene-based material heterojunction directional design method based on thermodynamic property analysis. The method comprises the following steps: simulating atomic coordinate trajectory data of a graphene-based heterojunction system by adopting an de novo molecular dynamics algorithm; performing time domain Fourier transform on the atomic coordinate trajectory data to obtain a relationship between a heterojunction periodic structure and a crystal space grid; based on a heterojunction periodic structure and a crystal space grid relation, lattice space Fourier transform is adopted to obtain a reciprocal space wave vector frequency spectrum; through an inverse Fourier transform technology, extracting a real space vibration mode at a limited temperature from the reciprocal space wave vector frequency spectrum; based on a real space vibration mode, the phonon spectrum and thermodynamic characteristics of the graphene-based heterojunction are calculated, and heterojunction directional design optimization is carried out according to the thermodynamic characteristics. According to the method, the oriented design optimization capability of the graphene-based heterojunction under the guidance of thermodynamic characteristics is effectively improved.

The invention discloses a pillow biomechanical property analysis and design optimization method and device, and the method comprises the following steps: 1) carrying out the image recognition of a human body sleeping posture image, and extracting a human body 3D model frame; 2) calculating the shoulder width h and the head width d of the human body based on the head, neck and shoulder front contour map, and further calculating the height g1 of the pillow side sleeping area; 3) acquiring a peak value and a valley value of the supine area of the pillow, and respectively taking the peak value and the valley value as a neck height g2 and a head height g3 of the supine area; 4) optimizing the shape of the pillow based on the sleeping posture mechanical data; and 11) outputting pillow model parameters. The invention provides a pillow biomechanical property analysis and design optimization method and device, and the method comprises the steps: carrying out the optimization of model parameters through image processing and an intelligent algorithm according to the pillow key point information and the customized head pressure distribution state.

This invention belongs to the field of oil and gas development, specifically relating to a method for characterizing reservoir water cut distribution. The method includes: establishing oil-water phase permeability curves based on experiments measuring the relative permeability of two-phase fluids in rocks; combining this with reservoir water saturation data to obtain oil phase relative permeability field data and water phase relative permeability field data; establishing fitting relationships between crude oil viscosity and reservoir pressure, and between crude oil volume coefficient and reservoir pressure, based on reservoir fluid property analysis experiments; combining this with reservoir pressure data to obtain oil phase viscosity field data and oil phase volume coefficient field data; establishing a water cut calculation formula; and establishing a reservoir numerical model based on the calculation formula to generate a water cut distribution map. The water cut distribution map generated using this method can characterize the water cut distribution at different stages of reservoir development, providing a more refined representation of reservoir water cut distribution and potential, and offering a more scientific basis for evaluating water drive development effectiveness and formulating reservoir adjustment plans.

This invention discloses a method for predicting the T2 spectrum of rock nuclear magnetic resonance (NMR) based on image feature transfer learning, relating to the field of oil and gas exploration and development technology. The method includes: S1. Standardization and enhancement preprocessing of rock casting thin section images; S2. Hybrid feature extraction fusing pre-trained deep features and handcrafted rock physical features; S3. Construction and training of a regression model from high-dimensional features to T2 spectrum under small sample conditions; S4. Direct prediction of rock NMR T2 spectrum. By employing image feature transfer and small sample learning strategies, this method overcomes the limitations of traditional NMR experiments, such as high requirements for core samples, long measurement cycles, and high costs. It enables rapid and efficient prediction of rock NMR T2 spectra using a small number of casting thin section images. Simultaneously, it significantly reduces the cost and time of rock property analysis, providing rapid support for rock property parameters in oil and gas reservoir evaluation, and has broad application prospects and economic benefits.

The invention relates to the technical field of feed processing, and discloses a double-line laying hen feed granulating and crushing device which comprises a hammer mill, two buffering bin materials on a feeding port of the hammer mill, a feeding assembly arranged at the output end of the buffering bin materials, and a feeding flow self-adaptive regulation and control system. The system comprises a load sensing module for calculating a load coefficient according to current, voltage and a power factor; the raw material physical property analysis module is used for calculating raw material characteristic coefficients according to the water content and the volume weight; the process matching degree evaluation module is used for calculating the process matching degree according to the average particle size of discharged materials, the proportion of over-coarse particles, the load coefficient and the raw material characteristic coefficient; the running state monitoring module is used for calculating the equipment health coefficient according to the vibration intensity and the material level; and the multi-source fusion decision module is used for calculating the target feeding flow according to the reference feeding flow, the process matching degree and the equipment health coefficient. According to the invention, multi-dimensional intelligent regulation and control of the feeding flow are realized, and the crushing quality and the operation stability are improved.