22 results about "Identification criteria" patented technology

The invention discloses an illumination temperature control transmitter monitoring system and method, and relates to the technical field of transmitter monitoring, and the method comprises the steps: constructing a multi-feature extraction and classification mechanism based on an instantaneous fluctuation recognition criterion, and dividing the operation state into three types: a stable type, a critical fluctuation type and a severe abnormality type, therefore, a standby acquisition channel can be started for critical fluctuation to perform high-speed sampling, data aligned and fused through a time axis is generated, a distorted or drifting section in a main channel is replaced, continuity and accuracy of monitoring data are ensured, fused monitoring data and a reference operation model are continuously compared, fitting analysis is performed on an error trend, and the accuracy and accuracy of the data are ensured. According to the method, the monitoring threshold value and the response delay can be dynamically adjusted, differential control aiming at different fluctuation levels can be realized, execution of high-priority alarm or intervention instructions can be delayed in an acceptable fluctuation range, and during the period, the acquisition and processing control parameters are dynamically adjusted to inhibit fluctuation diffusion, so that the operation stability of the illumination temperature control transmitter is further improved.

The invention discloses a tunnel unfavorable geologic body catastrophe identification method based on an alteration geological evolution sequence, and relates to the technical field of tunnel disaster prevention and reduction, and the method comprises the steps: carrying out the comprehensive advanced geological forecast of an unexcavated section of an excavated tunnel where an unfavorable alteration geologic body is found until a geophysical prospecting abnormal region is found; recording measuring points are arranged in the tunneling direction of the side wall of the excavated section of the tunnel, the three-dimensional coordinates of the measuring points and the tunnel mileage are positioned, and recording data are recorded; carrying out structural plane plotting, rock strength test, underground water state measurement and mineralogy test at the catalog measuring point to obtain in-situ test data; enabling the catalog data to correspond to the in-situ test data according to the tunnel mileage, extracting an undesirable alteration quantitative index, and drawing an alteration evolution sequence diagram; and constructing a bad alteration identification criterion, and if the identification criterion is met, performing trend extrapolation on the bad alteration quantitative index, and constructing a catastrophe evaluation system. According to the method, the engineering attributes and catastrophe of the poor alteration geologic body in front of the tunnel face can be effectively identified.

This invention discloses a wearable intelligent joint range of motion measurement device for forensic clinical identification, belonging to the field of forensic identification equipment technology. The device includes a wearable fixation component, a posture sensing unit, a data processing unit, a storage and interaction unit, and a power supply unit. It synchronously collects limb posture data from both sides of the joint using dual inertial sensors, calculates high-precision joint range of motion, and automatically matches the data using a built-in disability assessment standard library to output a preliminary suggestion for the disability level. This invention offers objective measurement, convenient wear, and traceable data, specifically addressing the problems of large errors, low efficiency, and susceptibility to subjective interference in traditional forensic manual measurements. It is suitable for limb injury disability assessment and possesses strong practicality and professionalism.

The application discloses a method and device for identifying gas-bearing reservoirs, and the method comprises the following steps: establishing a reservoir longitudinal identification criterion according to well logging data and seismic data of a study area; extracting a plurality of seismic attributes from each seismic survey line in two-dimensional seismic data of the study area; determining optimal seismic attributes from the plurality of seismic attributes through comparative analysis; and determining a favorable reservoir distribution area according to the reservoir longitudinal identification criterion and the optimal seismic attributes.

The application provides a rock slice image data management method, device and equipment, and relates to the technical field of geological exploration. The method comprises the following steps: acquiring image data and original identification data of a rock slice to be managed, which have first annotation information; identifying key features of the rock through machine learning based on the first annotation information and an identification standard to obtain second annotation information, wherein the second annotation information contains information carrying a first annotation information label; preliminarily checking the original identification data by using the second annotation information carrying the first annotation information label to obtain a checking result and annotation deviation information; performing secondary checking on the original identification data by using the second annotation information not carrying the first annotation information label to obtain annotation missing information; and managing the image data based on the checking result, the annotation deviation information and the annotation missing information in combination with double-expert collaborative identification. The application can improve the accuracy of rock slice image data management.

The invention discloses a method for counting the number of wild rock sheep based on a microsatellite molecular marker. The method comprises the following steps: preprocessing a rock sheep manure sample and extracting DNA (Deoxyribonucleic Acid); performing double PCR amplification on the microsatellite marker, wherein each group of microsatellite primers comprises two pairs of specific primers; carrying out electrophoresis separation on a PCR product by using 12% polyacrylamide gel, and reading the size of an allele fragment of each microsatellite site through GeneMapper software after silver staining and developing; analyzing the acquired allele data by using software, and counting the number of different wild rock sheep individuals in the region according to an individual identification standard; the individual identification standard is as follows: if the genotypes of all 10 microsatellite loci are completely the same, or only one allele of one locus is different, the same individual is determined. The method is particularly suitable for non-invasive individual identification, genetic relationship identification and population quantity statistics of plateau wild rock sheep populations, and provides technical support for rock sheep resource protection and dynamic monitoring.

To prevent invasion of privacy of a subject that may appear in a captured image when an aircraft takes an image during flight. [Solution] The information processing device 1 has an acquisition unit 131 that acquires captured images taken by an imaging unit equipped in the aircraft while the aircraft is in flight; a judgment unit 133 that determines whether a specified object is captured in the captured image while the aircraft is in flight; a decision unit 134 that determines an identification criterion that serves as a standard for whether a specific part of the object can be identified, and that indicates that the specific part can be identified from the captured image provided that the identification criterion is satisfied; and an aircraft control unit 132 that controls the aircraft so that the identification criterion is not satisfied, provided that the judgment unit has determined that an object is captured in the captured image.

This invention discloses a method for identifying catastrophic changes in unfavorable geological bodies in tunnels based on alteration geological evolution sequences, relating to the field of tunnel disaster prevention and mitigation technology. The method includes: conducting comprehensive advanced geological forecasting on the unexcavated section of an excavated tunnel where unfavorable altered geological bodies have been discovered, until a geophysical anomaly zone is found; setting up logging points along the excavation direction of the tunnel sidewalls of the excavated section, locating the three-dimensional coordinates of the logging points and the tunnel mileage, and recording the logging data; conducting structural surface mapping, rock strength testing, groundwater state measurement, and mineralogical testing at the logging points to obtain in-situ test data; correlating the logging data with the in-situ test data according to the tunnel mileage, extracting catastrophic alteration quantification indicators, and drawing an alteration evolution sequence diagram; constructing an identification criterion for unfavorable alteration bodies; if the identification criterion is met, extrapolating the trend of the catastrophic alteration quantification indicators to construct a catastrophic evaluation system. This invention solves the problem of effectively identifying the engineering properties and catastrophic changes of unfavorable altered geological bodies ahead of the tunnel face.

The invention discloses a numerical simulation-based reinforced soil retaining wall damage simulation mode discrimination method, and relates to the technical field of civil structure safety prediction, and the method comprises the steps: collecting three-dimensional numerical simulation data, simulating the interaction between a soil body and a reinforced material, setting a boundary condition and a loading condition, and generating a standard simulation data set; identifying a working condition boundary condition and a working condition loading mode from the standard simulation data set through an adaptive density clustering algorithm, obtaining an enhanced simulation data set, and performing data fusion on the enhanced simulation data set and the standard simulation data set to generate an extended simulation data set; and according to the damage development trend and the real-time environmental condition change, carrying out dynamic optimization adjustment on the damage mode discrimination standard, carrying out damage mode classification through a new damage mode discrimination standard, and generating a damage mode discrimination report. According to the method, the precision and reliability of failure mode prediction are improved, and effective technical support is provided for failure detection and early warning in a complex soil body structure.

The invention relates to the technical field of power systems, and discloses a Saggob base group extreme turning weather output characteristic and risk assessment method, which comprises the following steps: constructing a multi-source data fusion and extreme scene identification criterion system, and constructing a multi-dimensional meteorological factor matrix; establishing a plurality of extreme meteorological scene criteria; constructing an output factor matrix, setting a low output coefficient threshold value and a ramp rate threshold value, and establishing an output abnormity criterion; identifying a plurality of predefined extreme turning weather scenes; constructing a spatial weight matrix; and performing time autocorrelation function and partial autocorrelation function analysis on the occurrence sequence of each base in each extreme meteorological scene by using the spatial weight matrix and the output factor matrix, and constructing a multi-dimensional risk indicator system. The method has the advantages that a meteorological criterion-output response-space-time analysis-risk assessment framework is constructed, and the problems of inaccurate extreme weather output characteristic capture, insufficient space-time association description depth, single risk assessment dimension and the like are solved.

This invention discloses a method for identifying failure modes of reinforced soil retaining walls based on numerical simulation, belonging to the field of civil structure safety prediction technology. The method includes: acquiring three-dimensional numerical simulation data, simulating the interaction between soil and reinforcement materials, setting boundary conditions and loading conditions, and generating a standard simulation dataset; identifying the boundary conditions and loading methods from the standard simulation dataset using an adaptive density clustering algorithm to obtain an enhanced simulation dataset; fusing the enhanced simulation dataset with the standard simulation dataset to generate an extended simulation dataset; dynamically optimizing and adjusting the failure mode identification criteria based on the failure development trend and real-time environmental changes; classifying failure modes using the new criteria; and generating a failure mode identification report. This invention improves the accuracy and reliability of failure mode prediction, providing effective technical support for failure detection and early warning in complex soil structures.

The application discloses a kind of based on multi-source data fusion's pump station dynamic regulation method and system, belong to agricultural water conservancy engineering and fluid metering technical field.The water pump start-stop event is trigger source, synchronous acquisition flowmeter output signal and pump group electrical parameter, utilize short-time Fourier transform to extract water hammer transient process main oscillation frequency, amplitude attenuation coefficient and initial phase, construct and the time-varying compensation function of strict correspondence of pipeline wave propagation equation, real-time frame compensation is carried out to flowmeter original output and is completed by integration cumulative error correction.For the water hammer scene of broken flow closure, set three conditions joint identification criterion and isolation processing branch, adopt interpolation reconstruction to replace invalid flowmeter reading.System also has pipeline characteristic self-identification ability, and is automatically completed pipeline characteristic identification by the spectrum statistics of initial start-stop event, and continuously optimizes compensation precision by self-learning mechanism of parameter library maintenance independently according to flow grading.

The application relates to a low, slow and small target tracking method based on identification information, which obtains the target type of each track by utilizing track features and target identification criteria, further establishes a height constraint condition based on the target type of each track, and updates the target state estimation value according to the target state estimation value at the current moment and the space constraint condition, so that the tracking performance of the low, slow and small target can be effectively improved. Therefore, the application realizes a target tracking method capable of improving the tracking performance of the low, slow and small target.

This invention relates to a method for classifying and identifying anomalies in underground radio wave imaging based on differences in electrical parameters, belonging to the field of underground geological exploration and ore body exploration technology. This invention aims to solve the problem of misjudgment of anomalies caused by the similarity in signal responses between water bodies and ore bodies in large-scale water-bearing metal mines. The method includes: constructing a dedicated electrical parameter database; using a radio wave imaging system, setting up measuring points according to specifications and selecting a 0.3MHz frequency to collect data, and obtaining a standardized dataset after preprocessing; establishing the correspondence between differences in electrical parameters and radio wave anomaly characteristics, and delineating anomaly areas through inversion; accurately classifying ore bodies and water-rich anomalies based on mechanistic differences, verifying and optimizing the identification criteria; and outputting classification results and detection reports. This invention uses the essential constraints of electrical mechanism for inversion interpretation, improving the resistance to water interference and classification accuracy. It is less subjective and more practical, providing support for mining design and water hazard prevention in large-scale water-bearing metal mines.

This invention provides a hydrogen pipeline damage state detection system and method based on nonlinear ultrasound. The system's nonlinear ultrasonic detection device includes a signal excitation module and a waveform receiving module. The signal excitation module uses pulsed ultrasonic signals to ultrasonically excite the test sample, achieving non-contact ultrasonic propagation to acquire the vibration signal of the detection response. The waveform receiving module analyzes the nonlinear response waveform information. The feature parameter calculation module is configured to calculate state feature parameters based on the nonlinear response waveform information. The evaluation matrix formulation module establishes hydrogen damage identification criteria based on the correlation between state feature parameters and hydrogen damage status. Furthermore, the hydrogen damage assessment module comprehensively evaluates and provides early warning of the pipeline's hydrogen damage status based on the hydrogen damage identification matrix combined with the state feature parameters of the detection response. This approach overcomes the limitations of existing technologies in terms of application scenarios and accuracy, providing a comprehensive and reliable evaluation of hydrogen damage status.

The invention relates to a method for operating a safety system (12) of a motor vehicle (10) for an unsupervised dependent (18). The method comprises the steps of: acquiring (S1) at least one occupant identification data (22) by at least one occupant identification device (20) of the safety system (12); classifying (S2) the at least one occupant identification data (22) according to an occupant identification criterion (24) by an electronic computing device (14) of the safety system (12); sending (S3) at least one alarm (26) to at least one predefined emergency contact (28) by a telecommunications device (16) of the safety system (12) depending on the above classification; and listening (S4) by the electronic computing device (14) to at least one input (30) for remote control of at least one occupant comfort device (32) within the motor vehicle (10) from the at least one emergency contact (28).

The invention discloses an obesity risk subtype prediction method based on multi-source data, and the method comprises the steps: obtaining the multi-source data, and carrying out the standardization processing of the multi-source data; performing first model and second model training on the standardized multi-source data to generate an obesity risk level prediction model and a subtype prediction model; based on the obesity risk level prediction model and the subtype prediction model, determining a target risk level and a target subtype corresponding to multi-source data of a target user; and selecting a corresponding dietary conditioning scheme according to the target risk level and the target subtype type. The invention further provides an obesity risk subtype prediction system based on the multi-source data. According to the method, the report containing risk assessment, subtype identification and staged personalized conditioning schemes is generated through the dual-output model in combination with six obesity subtype identification standards and conditioning schemes, and the problem that obesity subtype accurate identification and targeted intervention cannot be achieved in the prior art is solved.

The invention belongs to the technical field of geological data interpretation, and discloses a thin interbed stratum interlayer fine description method, system, device and medium, the method comprises the following steps: obtaining logging and outcrop data, and determining interlayer physical property identification standards; identifying interlayer types according to interlayer physical property identification standards, and dividing different types of interlayers; extracting logging curve characteristics of different types of interlayers, and determining logging response characteristics of the interlayers; based on the logging response characteristics of the interlayer, reservoir random modeling and thin interlayer seismic waveform indication inversion prediction are carried out on the research area, and interlayer space distribution characteristics in the research area are determined according to the thin interlayer seismic waveform indication inversion prediction result. According to the method, the change condition of the reservoir space sedimentary facies in the research area can be finely reflected, and the fine description of the interlayer reservoir characteristics in the research area is realized.

The application discloses a method, device and equipment for preventing distance protection misoperation and a storage medium. The method comprises the following steps: setting an overload identification criterion as a first criterion when overload blocking protection is started; judging whether a line fault trip occurs outside a to-be-protected line according to a preset discrimination rule; modifying the overload identification criterion as a second criterion when the line fault trip occurs; the stability of the first criterion is greater than the stability of the second criterion; performing overload identification according to the overload identification criterion and phase-to-phase residual voltage to obtain an overload identification result; and adjusting a distance protection III section according to the overload identification result. According to the embodiment of the application, whether a line fault trip occurs outside the to-be-protected line can be identified, different criteria are adaptively used to perform overload identification, and the distance protection III section is adjusted according to the identification result, so that the distance protection misoperation is avoided when a fault occurs outside the line, the fault scale is prevented from being increased, and the system stability is improved.

The invention discloses a line parameter identification protection method based on a two-port network model. The method comprises the steps that an impedance parameter port characteristic equation of the two-port network model is established, and measurement results of voltage and current phasors at protection installation positions on the two sides of the two-port network model are obtained; determining two-port network impedance parameters under the internal fault and the external fault according to the network line parameters; according to the two-port network impedance parameters, constructing a unified identification parameter matrix under an internal fault and an external fault; combining the unified identification parameter matrix with the measurement results of the voltage and current phasors, establishing an impedance network multi-dimensional equation of multiple phasor points, and solving parameters to be identified; and according to the solved to-be-identified parameters and fault identification criteria, internal and external faults are discriminated, and dual-terminal protection is realized. The method has high protection sensitivity in a new energy-containing access power grid, and is high in transition resistance resistance.

This disclosure relates to method and system for identifying through pocket features having a non-unique entrance face from B-Rep models. The method includes receiving a user input including a B-Rep model. The method further includes identifying a reference shell face from the plurality of faces and an associated reference shell edge based on reference identification criteria. The reference shell face includes the reference shell edge. The method further includes sequentially identifying a set of consecutively adjacent shell faces from remaining of the plurality of faces and a corresponding set of shell edges based on subsequent identification criteria. The method further includes validating a loop formed by the reference shell face and the set of consecutively adjacent shell faces based on through pocket validation criteria.