67results about How to "Accurate assessment" patented technology

The utility model discloses a kind of ceramic finger thermal shock deterioration experimental device, comprising: first box, heating unit is arranged, for heating target product;Second box, linear guide is arranged, for moving target product;Wherein, the target product end is detachably connected with the linear guide by connecting block. In the utility model, box is divided into cold and hot two groups of closed cavities, heating is carried out by heating unit arranged in the heating cavity of first box, and linear guide in the cooling cavity of second box is used to transfer target finger during testing, various operating conditions in actual working process can be simulated, whether fracture occurs is monitored by connected sensor, and then whether product is truly in line with actual service life requirement is accurately evaluated.

The application discloses a performance evaluation method for an internal insulating medium of an oil-immersed capacitor based on a RBF neural network, and the method comprises the following steps: measuring characteristic variables of the internal insulating medium of the oil-immersed capacitor to construct training samples; constructing a RBF neural network model; optimizing initial weights and thresholds of the RBF neural network model; iteratively training the RBF neural network model by using the training samples to obtain a trained RBF neural network model; and evaluating the performance of the RBF neural network model by using the trained RBF neural network model.

The invention relates to the technical field of motion terrorism risk assessment, in particular to a spine endoscopic postoperative motion terrorism assessment method and system based on a 5E rehabilitation mode. According to the degree of adaptation of a patient to all rehabilitation trainings of the same type in each treatment stage and the change synchronization degree of rehabilitation state values, and the difference of entry scores of the same entry of an analysis questionnaire corresponding to the rehabilitation trainings and an adjacent next questionnaire, the rehabilitation training is analyzed; the association degree between each rehabilitation training of each treatment stage and each item of the questionnaire is obtained; adjusting the entry score of each entry of each questionnaire by using the correlation degree, and obtaining an optimized TSK total score of the corresponding questionnaire; and based on the optimized TSK total score of the questionnaire in all treatment stages, evaluating the motion terrorism symptom of the patient. According to the method, the entry score of the questionnaire is adjusted through the association degree between each rehabilitation training and the entry of the questionnaire, so that the influence degree of drug interference factors, physiological stress response and the like is reduced, and the accuracy of acterrorism symptom rating is effectively improved.

This invention relates to the field of fire protection planning technology, specifically a method for fire station layout and fire equipment configuration based on GeoAI. The method includes: acquiring spatial data related to building identification and constructing a multi-source dataset; determining fire rescue demand points and types based on socio-semantic segmentation using a visual language model, and constructing a dynamic database of fire stations and fire equipment; establishing a comprehensive demand paradigm for fire rescue equipment and decomposing its equipment subsets; determining the optimal pairing of fire rescue demand points with multiple fire stations and evaluating the comprehensive weighted response time; identifying areas with weak fire rescue coverage and determining the initial locations of each candidate fire station; iteratively optimizing the locations of candidate stations to determine the proposed fire station layout scheme; optimizing the spatial layout and equipment configuration of fire stations in conjunction with fire rescue response capabilities; and outputting the fire station layout and fire equipment configuration scheme. This invention achieves differentiated and refined configuration of fire station site selection and equipment, providing a scientific basis for fire protection planning.

The application discloses a kind of hardness correlation liver cancer lung premetastatic niche mouse model construction method, it includes the following steps: (1) in vitro enrichment respectively on the low hardness substrate of hardness 6kPa and the high hardness substrate of hardness 16kPa, the condition culture supernatant of mouse liver cancer cell Hepa1-6 that is cultured and grows, respectively named mL-CM and mH-CM;(2) mL-CM and mH-CM are respectively injected into two groups of mice using tail vein injection mode, every 1 day injection 1 time, until the 26th day, during continuous monitoring the recruitment of BMDCs in fresh lung tissue, while with the induction endpoint, i.e. 26th day premetastatic niche mark feature detection includes lung tissue matrix remodeling, immunosuppression, angiogenesis, vascular permeability and inflammation etc..The method has the advantages of short modeling cycle, easy operation, controllable induction condition, can comprehensively and accurately evaluate the common characteristics of liver cancer lung premetastatic niche formation etc..

The application belongs to the technical field of material engineering and failure analysis, and particularly relates to a metal fatigue micro-damage detection method, device, medium and equipment, the method comprising the following steps: acquiring a longitudinal wave sound velocity of a metal material to be detected; calculating a normalized damage index of the metal material to be detected based on the longitudinal wave sound velocity; taking the normalized damage index as an input of a fatigue micro-damage evaluation model that has been constructed, and obtaining a plastic strain of the metal material to be detected, so as to realize fatigue micro-damage detection of the metal material to be detected. The application can improve the sensitivity of metal fatigue micro-damage detection.

This application relates to the field of image recognition technology, specifically to a visually assisted method and system for quality inspection of laser engraving on mobile phone buttons, solving the technical problem that the accuracy of laser engraving quality inspection of mobile phone buttons in the prior art cannot meet the requirements. The method includes: acquiring image sequences of the laser engraved area of ​​the mobile phone button under multiple different lighting directions, and design trajectory information; determining the microscopic gradient vector field and texture contrast value of the laser engraved area based on the image sequences; constructing a light transmission resistance field based on the geometric deviation between the macroscopic light transmission direction and the microscopic gradient vector field, characterized by the design trajectory information, and the texture contrast value; calculating the light transmission attenuation index, which characterizes the overall light transmittance performance of the laser engraved area to be inspected, based on the light transmission attenuation field; and determining the light transmittance quality of the laser engraved area to be inspected based on the light transmission attenuation index.

The invention provides a traffic scheduling method and device, equipment and a storage medium, and the method comprises the steps: determining the current health degree of each link according to the historical health degree of each link and each index value in a current time period; therefore, the health degree is determined more accurately, and the link health degree is evaluated more accurately. In addition, a data transmission mode between the first network device and the second network device is determined according to the current health degree of each link, and then a flow scheduling rule in the corresponding data transmission mode is determined. Therefore, the dynamic transfer of each link can be determined, and the situation that the links are idle is avoided, so that the link utilization maximization and experience optimization are realized. The method is suitable for various IP network environments and various network topology structures, can be used for traditional copper cable access and wireless access scenes, and can also be used for optical fiber access scenes including an FTTR (Fiber To The Room) all-optical access network.

This invention relates to the fields of geographic information systems and underground pipeline detection technology, and discloses a buried optical cable detection system, including an optical cable detection module, an optical cable data acquisition module, an optical cable data analysis module, an optical cable data evaluation module, and a buried optimization module. The optical cable detection module is responsible for the preliminary detection of the location and depth of the underground optical cable. The optical cable data acquisition module is used to collect existing optical cable pipeline data and input business data. The optical cable data acquisition module includes a location data unit, a depth data unit, an environmental interference data unit, and an optical cable attribute data unit. The optical cable data analysis module calculates and analyzes the four units of data collected by the optical cable data acquisition module. The optical cable data analysis module includes an anti-interference correction unit, a depth calculation optimization unit, and a non-destructive access evaluation unit. The optical cable data evaluation module evaluates the data based on the analysis results of the optical cable data analysis module. The buried optimization module optimizes the data based on the evaluation information from the optical cable data evaluation module.

This invention discloses a method for predicting and classifying the quality of air-space-ground power communication links based on multi-source information fusion. First, a deterministic capability classification system based on power service SLA requirements is constructed, which includes quantified multi-level indicator thresholds. Environmental perception data (meteorological, ephemeris) and network measurement data are fused, and a predictive model is used to derive the expected link performance within a future time window. The expected link performance is then matched level by level with a predefined classification system to dynamically determine the dynamic deterministic level of the link within the future time window. When this dynamic level is lower than the required level for the service, an early warning and rerouting preparation are triggered, achieving proactive pre-emptive maintenance of network quality.

This invention belongs to the field of water conservancy and marine engineering technology, and specifically relates to an optimized design method for sandbag revetment protection structures on erosive beaches. The method includes: basic data collection, material selection and determination, optimized design of individual sandbag dimensions, and determination of the structural assembly and installation method. To better utilize sandbag protection structures for the protection of erosive sandy beaches, this application, through theoretical derivation, optimizes the stability design formula for beach sandbag structures, improves the design process for beach sandbag revetment structures, and enhances the applicability of the protection structure.

A kind of tunnel laser point cloud generates lining inner surface image method, comprising: obtaining point cloud data;Splicing forms complete tunnel point cloud;Obtain segmented point cloud;Manual denoising;Load segmented point cloud data, and carry out the downsampling of point cloud data;Point cloud data is projected on plane;Automatic denoising;Extract the contour boundary of two-dimensional plane tunnel point cloud;Determine side wall line point set and caliber line point set;Two side wall line point sets determined are respectively moved mean value smoothing operation;The average width between two side wall lines is calculated;Obtain the central axis point set of tunnel;Obtain central axis;With central axis as reference, carry out two-dimensional image development.The present application can quickly process large-scale tunnel point cloud, generate fine tunnel lining inner surface image, be suitable for medium-length tunnel, super-long tunnel and curved tunnel, provide new method for tunnel lining inner surface image generation, so that tunnel lining apparent disease detection and evaluation are more efficient, convenient, accurate.

This invention discloses a definition and online monitoring method and system for the operational design domain (ODD) of autonomous driving. Taking lane keeping function as an example, the method includes: acquiring an observation dataset; establishing a structural causal graph (OCD) between the lane detection accuracy of the autonomous driving system and the elements of the operational design domain based on the observation dataset; fitting the causal transmission path (i.e., structural causal equation) of the ODD based on the observed samples; acquiring various combinations of operating environments based on the operating parameter space of the autonomous vehicle; applying the acquired structural equation to perform counterfactual inference on the autonomous driving performance (taking lane detection accuracy as an example) under various combinations of operating environments; selecting an environment combination whose counterfactual calculation result is greater than a threshold to characterize the designed operational domain; if the lane detection accuracy in the autonomous driving performance indicators is consistently less than a set threshold, activating a function degradation strategy or prompting the driver to take over. This invention effectively improves the safety of autonomous vehicles through ODD online monitoring.

This application relates to a method and apparatus for establishing a dosimetric fine breast physical phantom. The method includes: designing equivalent material formulations for two types of breast tissue, adipose tissue and fibroglandular tissue, according to mixing ratios and printing parameters; obtaining a series of fine breast digital models with different glandular percentages and compression thicknesses based on representative parameters of the female breast; enabling a fused deposition modeling (FDM) 3D printer to support voxel model 3D printing, and generating nozzle paths based on the voxel models to obtain a dosimetric fine breast physical phantom using high-resolution dual-material additive fused deposition modeling 3D printing technology. This solves the problems of related technologies failing to obtain accurate three-dimensional dose distribution, difficulty in accurately assessing radiation health risks, poor variability of breast parameters in existing phantoms, low representativeness and realism of phantom parameters, and unscientific placement of dose measurement units.

This invention relates to the field of visual monitoring technology for IoT devices, and discloses an AI-based image detection method, system, and storage medium for IoT. The method synchronously receives image and environmental parameter data streams, performs temporal slicing on the image stream, and extracts deep visual features from the current slice. The environmental data stream is decomposed into waveforms, and corresponding environmental state segments are extracted based on image timestamps. A dynamic difference spectrum is generated by calculating the differences between current and past image features, and visual features are coupled and encoded with environmental segments to obtain enhanced visual representations. Using both as inputs, a cascaded diagnostic inference engine is driven to perform anomaly localization, pattern matching, and defect inference, ultimately outputting detection conclusions. This method can capture gradual changes in device status and achieve more accurate fault diagnosis under complex environmental fluctuations.

The application discloses damaged mitochondria as a malignant tumor metastasis prediction marker, and an application and detection system thereof, and is used for solving the problems of lacking specific prediction indexes and efficient and feasible prediction means for predicting malignant tumor metastasis in the prior art. The application rapidly enriches mitochondria from a to-be-detected plasma sample, detects the concentration of the prediction marker damaged mitochondria, and predicts the malignant tumor metastasis risk of a patient corresponding to the to-be-detected plasma sample based on the concentration of the prediction marker damaged mitochondria, so that whether the tumor patient will have metastasis in the future can be simply, rapidly and accurately predicted.

The application discloses a kind of information physical integrated power transmission network elasticity energy storage planning method, device, equipment, comprising: according to power transmission network characteristics and meteorological data under ice disaster scene, establish information physical integrated power transmission network elasticity basic model, and determine the probability that power transmission network appears ice disaster scene through information physical integrated power transmission network elasticity basic model;According to the probability that power transmission network appears ice disaster scene, establish the planning model of electrochemical energy storage station, to realize the siting of electrochemical energy storage station Determination of volume;Based on the planning model of electrochemical energy storage station and information physical integrated power transmission network elasticity basic model, establish information physical integrated elasticity evaluation model, and realize the simulation of the failure condition, response adjustment, overhaul recovery process of power transmission network through information physical integrated elasticity evaluation model.The application accurately reflects the failure and recovery characteristics of power transmission network, realizes the pre-disaster siting of energy storage station and determination of volume, and achieves the technical effect of improving the elasticity of power transmission network.

The utility model relates to a kind of evaluation optical path systems of base-containing thulium-doped fiber fusion quality, belong to optical fiber fusion technical field.It includes thulium-doped fiber oscillator module and return light monitoring module, the thulium-doped fiber oscillator module includes sequentially arranged pump light source, beam combiner assembly, high reflection grating, base-containing thulium-doped fiber, low reflection grating, cladding light stripper, light output port and second optical power meter, the output fiber of high reflection grating is connected with the input fiber of low reflection grating by base-containing thulium-doped fiber, forms the first melting point and second melting point of base-containing thulium-doped fiber;The return light monitoring module includes beam combiner assembly input end signal optical fiber, dichroic mirror and first optical power meter.The application structure is simple and convenient to operate, solves the subjective error of the fusion point fusion quality evaluation existing in the field of optical fiber fusion technology, long detection time and high detection cost problem, so that base-containing thulium-doped fiber melting point fusion quality can be accurately evaluated.

The application relates to a tumor intraoperative evaluation method and system based on multi-wavelength photoacoustic mathematical statistics analysis, wherein the method comprises the following steps: irradiating a tumor tissue with a pulsed laser during operation, collecting photoacoustic signals at different wavelengths in time sequence according to a preset wavelength sequence, performing mathematical statistics spectrum analysis after pretreatment to obtain multi-wavelength statistical parameters reflecting the characteristics of the photoacoustic signals; performing parameter mapping on the multi-wavelength statistical parameters to obtain a parameter imaging graph reflecting the scattering characteristics and microstructure differences of the tissue, obtaining a parameter spectrum curve based on the parameter imaging graphs at different wavelengths, and extracting auxiliary features based on the parameter imaging graphs; performing visual analysis based on the parameter imaging graphs and the parameter spectrum curve, spatially positioning a lesion area, selecting a ROI and visually displaying the lesion area; and taking the multi-wavelength statistical parameters and the auxiliary features as inputs of a tumor benignity and malignancy evaluation model to output a tumor classification result. Compared with the prior art, the application has the advantages of being capable of realizing rapid and accurate intraoperative evaluation.

The application discloses a method and system for evaluating the influence of direct current bias voltage on dielectric accumulation effect, and builds a dielectric direct current superimposed impulse test circuit model; the maximum and minimum direct current bias voltages that an insulating dielectric receives during operation of corresponding electrical equipment are obtained; the minimum direct current bias voltage is applied to the insulating dielectric, and a superimposed impulse voltage test of the insulating dielectric is performed through the model to obtain a U-N characteristic curve of the dielectric accumulation effect under the direct current bias voltage; the direct current bias voltage is increased by a step of delta Udc to obtain U-N characteristic curves of the dielectric accumulation effect under different bias voltages; the U-N characteristic curves of the dielectric accumulation effect obtained under different bias voltages are analyzed by fitting to obtain an evaluation standard of the bias voltage on the dielectric accumulation effect; the application has the beneficial effect of increasing the accuracy of the evaluation result of the insulating dielectric accumulation effect under the direct current voltage.

This invention discloses a vehicle-mounted GPS positioning and navigation system based on vehicle-to-mobile phone interconnection, specifically relating to the field of positioning and navigation technology. The system includes acquiring navigation data built into an electric scooter and a mobile phone, using multi-sensor fusion technology to obtain a real navigation route, calculating the deviations between the electric scooter and mobile phone navigation routes and the real navigation route, using Wasserstein distance to calculate the difference in deviations between the electric scooter and mobile phone navigation routes, calculating the curvature fluctuation of the real navigation route, determining the driving position information based on the real navigation route within a road segment, aligning the timestamps of the navigation data from the electric scooter and mobile phone, using a dynamic time warping algorithm to calculate the time alignment difference, determining the driving time information based on the real navigation route within a road segment, and comprehensively analyzing the driving position information and driving time information of the real navigation route. This invention helps improve the accuracy and reliability of the navigation system.

This utility model relates to the field of anti-icing coating testing technology, and provides an anti-icing coating testing device using rapid cooling with liquid carbon dioxide. The device includes an aluminum substrate, an aluminum vaporization grid, and a test sample. The test sample is positioned on the top of the aluminum substrate, and the aluminum vaporization grid is positioned on the bottom of the aluminum substrate. A liquid carbon dioxide inlet is located in the middle of the left side of the aluminum vaporization grid, and a carbon dioxide outlet is located in the middle of the right side of the aluminum vaporization grid. This utility model utilizes the principle of heat absorption during liquid carbon dioxide vaporization to rapidly reduce the temperature of the aluminum substrate in a short time, quickly simulating the icing / icing phenomenon under actual extreme low-temperature environments. Compared to traditional testing methods, this significantly shortens the testing cycle, allowing for rapid testing of the anti-icing coating performance, effectively improving testing efficiency, and saving considerable time and costs for research and development and production. Simultaneously, the realistic simulation of extreme environments enhances the practicality and reference value of the test results.

The application discloses an acute large blood vessel occlusion identification and reperfusion decision method and system, and the method comprises the following steps: S1, obtaining medical record text and head multi-modal CT image data of a patient to be diagnosed; S2, performing natural language processing on the medical record text to obtain text features; S3, processing the multi-modal CT image data, calculating the ASPECTS score of non-enhanced CT, and positioning the blood vessel occlusion position and evaluating the collateral circulation from the CTA image to obtain image features; S4, performing weighted fusion on the text features and the image features to generate fusion features; and S5, inputting the fusion features into a pre-constructed guideline knowledge graph and a decision model to generate an individualized acute large blood vessel occlusion identification result and a reperfusion treatment suggestion. The application can automatically, quickly and accurately generate an individualized identification result and a treatment suggestion by fusing the features of the medical record text and the multi-modal CT image and combining a real-time updated guideline knowledge graph.

The application discloses a main circulating pump of a converter valve cooling system and a vibration data acquisition method and device thereof, and the method comprises the following steps: acquiring a current signal of the main circulating pump of the converter valve cooling system; judging the working state of the main circulating pump of the converter valve cooling system according to the current signal of the main circulating pump of the converter valve cooling system; acquiring a vibration signal of the main circulating pump of the converter valve cooling system according to a set frequency corresponding to the working state of the main circulating pump of the converter valve cooling system; and storing the vibration signal of the main circulating pump of the converter valve cooling system in a corresponding database according to the working state of the main circulating pump of the converter valve cooling system. The application can accurately acquire the vibration signal of the main circulating pump of the converter valve cooling system under different working states.

This invention discloses a method and apparatus for constructing an event prediction model for a multi-infrastructure system. The method involves collecting basic data from each infrastructure component within the system; simulating the basic data of each infrastructure component to obtain operational data; coupling the spatiotemporal graph networks constructed from the infrastructure components to establish a spatiotemporal graph network model; and performing transfer training on the spatiotemporal graph network model based on the operational data and real-time monitoring data to obtain the event prediction model. The event prediction model constructed using this method can scientifically and accurately assess and predict the response and evolution of the multi-infrastructure system during events, and assist in the response and handling of urban disaster events.

The application provides a global asset dynamic perception and intelligent management method and system based on fog computing, relates to the technical field of asset management, and comprises the following steps: collecting asset states and space parameters through a distributed perception unit, performing feature fusion and space correlation calculation, generating a state atlas, and generating a management instruction according to resource demand ordering, so that cross-regional collaborative management of assets in physically isolated regions can be realized, asset monitoring precision is improved, resource allocation efficiency is optimized, and management cost is reduced.

This invention relates to a method for evaluating the life distribution function of a wind turbine, comprising the following steps: collecting the time of occurrence of a wind turbine failure, the location of the failure (specifically down to the component), the failure mode, and the failure impact, and performing relevant statistical listing; cleaning the collected failure data (t1, t2, ...) to remove outlier data; estimating the parameters of the three distribution functions (exponential distribution function for conventional electronic products, Weibull distribution function for simple mechanical products, and normal distribution function for mechatronic products) using the cleaned data, and fitting the life distribution according to the following mathematical model: taking the distribution function corresponding to the minimum value after fitting the three distribution functions, which is determined as the life distribution function of the wind turbine, and using this life distribution function to evaluate the life of the wind turbine.

This application relates to the field of data processing technology, and in particular to a method, apparatus, electronic device, and storage medium for locating a recommended object. The method involves: acquiring live streaming data associated with a target live streaming room at a preset location time point; for each candidate object, performing the following operations: based on the content relevance between the text description information of the candidate object and the live streaming image, and the image similarity between each state image associated with the candidate object and the live streaming image, obtaining an object evaluation result; when there is a target evaluation result among the object evaluation results that meets the relevance screening conditions, the location information of the candidate object corresponding to the target evaluation result in the candidate object list is used as the location information of the recommended object. This integrates the influence of content relevance and image similarity among multimodal information, providing more factors to consider for determining the location basis and improving the accuracy of location.