42results about How to "Fully reflect" patented technology

The invention belongs to the technical field of swivel bridge detection, and particularly relates to a swivel bridge horizontal alignment detection device which comprises a mounting seat fixed to the upper end of an abutment, a controller is fixedly connected to the side wall of the mounting seat, and two guide boxes are symmetrically and fixedly connected to the upper side wall of the mounting seat. After the swivel bridge construction is completed, mechanical contact detection is arranged on the abutment, compared with a detection assembly arranged between two swivel bridges which are spaced by four meters, a fixed and accurate mounting reference can be provided for the detection device by means of a stable structural foundation of the abutment, and a detection structure does not need to be arranged between the bridges which are spaced by four meters; the problems of inconvenient operation, large assembly fixing difficulty and the like caused by cross-interval installation are avoided, the bending deformation of the detection rod due to the gravity of the detection rod can be effectively avoided, and the detection precision is guaranteed from the installation reference and the detection structure.

The invention discloses a power grid lightning arrester on-line monitoring system based on a PHM, and the system comprises a voltage on-line collection module which is used for collecting a voltage signal of a corresponding lightning arrester; the synchronous control module is used for acquiring synchronous sampling data of the leakage current signal and the bus voltage signal; the signal processing module is used for acquiring fundamental components of the leakage current signal and the bus voltage signal and harmonic components of preset times; the feature generation module is used for generating resistive current feature data of the lightning arrester; the data integration module is used for forming a multi-parameter operation state data set of the lightning arrester; the health state evaluation module is used for obtaining a health state evaluation result; the trend analysis module is used for acquiring lightning arrester health state change trend information; and the fault risk assessment module is used for generating a lightning arrester fault risk assessment result and realizing online assessment, trend early warning and fault risk prediction of the health state of the lightning arrester.

The present application relates to the field of smart meter data acquisition, especially to a CPU occupancy-based meter data acquisition optimization method and system, the method comprising: obtaining the signal strength and working state of concentrator and meter nodes, establishing a data acquisition network model and calculating the load rate to reflect the network busy degree. Vector coding is used to generate initial particle swarm, each particle represents a data acquisition path, the transmission efficiency and communication quality of the path are evaluated, and the path score is obtained by weighted fusion based on the load rate. The particle with the highest score is selected as the global optimal solution to guide the particle swarm learning, the learning ratio is adjusted through the negative exponential function, the parent node vector is updated and iteratively optimized until the score no longer improves, the optimal path is output, and the data acquisition path optimization is completed. The present application dynamically adjusts the weight and optimization strategy, adapts to network changes, reduces the hop count, avoids weak signal links, and improves the transmission efficiency and stability of the data acquisition path.

The invention discloses a coal mine unmanned vehicle-oriented multi-mode perception data fusion enhancement method and system, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image quality attenuation prediction, generating a prediction visible light image quality attenuation index sequence and a prediction infrared image quality attenuation index sequence, and carrying out the prediction of the infrared image quality attenuation index sequence; formulating an adaptive visible light image enhancement strategy and an adaptive infrared image enhancement strategy; performing image enhancement on the vehicle sensing data to generate a visible light enhanced image stream and an infrared enhanced image stream; and inputting the visible light enhanced image stream and the infrared enhanced image stream into a cross-modal feature fusion plug-in for cross-modal feature alignment, generating a multi-modal fusion enhanced perception result, and transmitting the multi-modal fusion enhanced perception result to a downstream automatic driving perception decision center in real time. The technical problems of insufficient enhancement strategy adaptability and poor cross-modal fusion effect caused by micro-environment dynamic change of existing underground coal mine multi-modal sensing data are solved.

The application provides an air mileage management method, system and storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring multi-source business data; the multi-source business data is data related to air mileage; processing the multi-source business data to determine time sequence feature representation, static attribute feature representation and event feature representation; wherein the time sequence feature representation is used to represent the characteristics of the change of air mileage issuance over time, the static attribute feature representation is used to represent the characteristics of the inherent attributes of the partners related to air mileage issuance, and the event feature representation is used to represent the characteristics of the sudden business events affecting air mileage issuance; performing fusion processing on the time sequence feature representation, the static attribute feature representation and the event feature representation to obtain comprehensive feature representation; and determining the regulation strategy of air mileage based on the comprehensive feature representation.

This invention discloses an apparatus and method for detecting anomalies in a continuous crystallization process. These are corresponding solutions, in which: image analysis methods are used to extract the color information of each pixel in the crystallization image; based on the color attributes of each pixel in the image, principal component analysis is used to extract principal components; these principal components comprehensively consider the correlation between the color attributes of different pixels and can reflect the essential features of the image; based on the principal components, a multivariate statistical process control model can be constructed, thereby enabling real-time detection of the state of new continuous crystallization process images. Overall, the above-mentioned solutions provided by this invention can effectively support the automation and intelligent development of continuous crystallization process state detection.

The invention provides a miniature light emitting diode and a preparation method thereof, and belongs to the technical field of photoelectron manufacturing. The light-emitting diode comprises an epitaxial layer and a reflecting layer located on one side of the epitaxial layer, the thickness of the reflecting layer ranges from 0.9 micrometer to 1.3 micrometers, and the central wavelength reflectivity of the reflecting layer is larger than or equal to 95%. The problem that the reflecting effect of the reflecting layer of the micro light-emitting diode is poor can be solved.

This invention discloses a method for classifying township shrinkage characteristics based on multi-scale correlation: First, target townships are identified, and study townships are selected, with their spatial boundary data extracted. Second, the spatial distance between the target townships and the study townships is measured, constructing a spatial distance matrix. Third, the spatial distance matrix is ​​reclassified, generating first, second, and third-level spatial relationship matrices. Fourth, the population size change rate, socio-economic vitality change rate, and construction land size change rate for each target township at each spatial level during the study period are calculated. Fifth, a shrinkage characteristic vector set for the target townships is constructed, classifying the shrinkage characteristics. Finally, a shrinkage characteristic map of the target townships is drawn. This invention accurately identifies and classifies township shrinkage characteristics, assesses township development status, and effectively guides the allocation of construction land indicators, the configuration of public service facilities, and the formulation of infrastructure construction standards in territorial spatial planning.

The application discloses a detection method of Baizhu San standard decoction fingerprint combined with liquid chromatography-mass spectrometry, the fingerprint and application thereof, and belongs to the field of traditional Chinese medicine quality standard research and application. Test sample solution and single control sample solution are injected into a high performance liquid chromatograph to obtain respective chromatograms; mass spectrometry analysis is conducted on the test sample solution to obtain mass spectrometry results; common peaks existing in the chromatogram of the test sample solution are taken as common peaks, chemical components in the Baizhu San standard decoction are identified in combination with the chromatogram of the single control sample solution and the mass spectrometry results of the test sample solution, and the Baizhu San standard decoction fingerprint is obtained. The fingerprint is constructed through liquid chromatography-mass spectrometry, 10 intersecting components are identified in combination with the mass spectrometry information of the control sample, so that the quality control of the Baizhu San standard decoction is realized, the method is simple, easy to operate, high in precision, good in stability and reproducibility, and can effectively solve the technical problem that the quality of the Baizhu San cannot be effectively evaluated.

The invention relates to the technical field of seismic engineering and geological disaster prevention and control, and discloses a slope seismic oscillation comprehensive risk assessment method considering gradient-incident angle-back-facing slope three-dimensional coupling, and the method comprises the steps: building a three-dimensional double-sided slope dynamic response model, laying monitoring points on a flat ground in front of a slope and slope surfaces at two sides, and carrying out the construction of a three-dimensional double-sided slope dynamic response model; setting free field boundaries around the model, inputting seismic waves subjected to polynomial baseline correction processing, and calculating peak acceleration amplification coefficients under the conditions of different gradients, incident angles and slope orientations; on the basis, a sensitive incident angle threshold weight and a back-facing slope asymmetric weight are introduced, a normalized amplification coefficient is combined, a gradient-incident angle-back-facing slope three-dimensional coupling comprehensive risk index is constructed, and unified quantification and grading evaluation of risk intensity under the conditions of different gradients, different incident angles and different slopes are achieved. The method can systematically reveal the coupling rule of the double-slope seismic oscillation amplification effect, and provides a scientific basis for the seismic design of mountainous engineering and regional seismic damage risk assessment.

A kind of coating method based on waveband adaptive wide spectrum film layer thickness monitoring, to improve the coating quality and efficiency of optical thin film, by layer by layer design optical thin film structure, and using film system design software to calculate transmittance spectrum, to evaluate the influence of thickness change on optical performance;In the coating process, waveband adaptive monitoring technology is used, according to the characteristics of each layer of film and the performance of coating machine, to adaptively select high sensitivity monitoring wavelength, to realize accurate monitoring of film layer thickness in wide spectral range.The present application calculates the influence of current film thickness deviation on current film transmittance for layer by layer design of optical thin film, obtains the sensitivity of transmittance spectrum to film thickness deviation layer by layer, sets the sensitivity threshold, selects high sensitivity wavelength as monitoring wavelength, to improve the signal-to-noise ratio of suppression monitoring, to improve the deposition accuracy of film layer thickness.

The application discloses a bridge influence surface identification method and device based on a new driving strategy of a mobile vehicle, a computer and a storage medium, and relates to the field of bridge structure safety detection.The application solves the problems of low calculation efficiency and low accuracy of existing identification technology without considering the efficiency and accuracy of loading on various bridges.The method comprises the following steps: setting a driving path of a vehicle, and obtaining a plurality of influence lines with a lateral distance of a vehicle width; collecting a bridge dynamic response; constructing an influence surface identification model according to the bridge dynamic response and the plurality of influence lines with the lateral distance of the vehicle width; obtaining a plurality of longitudinal influence lines of the bridge according to the influence surface identification model with singular value decomposition; and obtaining a fitted bridge influence surface by using a modified Hermite interpolation to process the plurality of longitudinal influence lines of the bridge.The application is applied to the field of bridge health monitoring.

The application discloses a kind of corrosion damage multi-modal standard data set construction methods, the method includes collecting multi-modal data, such as apparent damage image and microscopic metallographic image;Data cleaning and enhancement, corrosion feature labeling, feature extraction and selection, data modeling and verification, data set standardization and data set verification and the like processes, to construct high-quality, standardized corrosion damage data set.The standard data set constructed by the method provided in the application can be used for corrosion damage evaluation of industrial products in natural environment, significantly improve test efficiency and accuracy.

This invention provides a method and system for intelligent handover of 2M unframed dual-path protection based on redundancy check, relating to the field of communication technology. The method includes acquiring and aligning dual 2M unframed bitstreams, generating check results using cyclic redundancy check, statistically analyzing error feature vectors within a sliding time window, constructing a link quality trajectory, extracting quality degradation warning signals, constructing a phased handover strategy based on the warning signals, and determining the handover timing sequence and executing link handover using a neural network evaluator. This achieves adaptive optimization of the handover strategy, improving the intelligence and reliability of link handover.

The utility model provides a classical guitar sound hole sound bucket belongs to guitar sound hole sound bucket field, including the resonance box, the neck and the head, the outside wall of fingerboard is provided with a plurality of silk, a plurality of strings are fixedly connected on the bridge, the side wall of resonance box is provided with the sound hole, the sound hole is roundly provided, the sound hole is located the top of bridge, the inner side wall of resonance box is fixedly connected with the main sound bucket, the inner side wall of main sound bucket is provided with the internal thread, the inner side of main sound bucket is provided with the vice sound bucket, main sound bucket and vice sound bucket all are circular tubularly provided, the position of sound hole corresponds with main sound bucket, the inner side wall of vice sound bucket is fixedly connected with the plucking platform, and the plucking platform is equidistantly arranged on the inner side wall of vice sound bucket, the utility model discloses, through setting up main sound bucket in the sound hole, main sound bucket makes the flowing mode of resonance box inside air through the improvement, makes the sound in the musical instrument more fully reflected and diffused to improve the whole resonance efficiency, makes the sound more full.

The invention belongs to the technical field of terminal testing, and particularly relates to a mobile intelligent terminal compatibility testing method which comprises the following steps: S1, aggregating terminal hardware configuration, software environment and network state data through federal learning, and constructing a real-time testing matrix; s2, synthesizing an edge scene test case based on the generative adversarial network; s3, synchronously collecting a touch track, a display frame rate and an audio synchronization deviation, and quantifying user interaction experience in combination with eye tracker data; s4, deploying a lightweight virtualization intermediate layer between the gap / Android / iOS, automatically converting an equipment interconnection instruction, and verifying cross-chain compatibility; and S5, tracking the privacy data flow by adopting dynamic taint analysis, and detecting illegal behaviors in real time. According to the method, through dynamic environment modeling, real-time test matrix construction and hierarchical aggregation architecture, terminal nodes encrypt and upload local data by using differential privacy and homomorphic encryption technologies, so that the security of the data is ensured.

This invention discloses a data compliance dynamic detection method and system based on deep learning, belonging to the field of data security processing technology. It addresses the problem that existing methods, which focus primarily on text data processing when performing compliance detection based on extracted comprehensive semantic words, lack the ability to comprehensively process multimodal data and comprehensively evaluate complex compliance issues, leading to inaccurate compliance assessments. The method includes preprocessing the original data stream, extracting features from the preprocessed data stream based on data stream type, and using a compliance analysis model to identify and analyze multimodal feature sets based on a standard rule base. In this invention, preprocessing the original data stream filters and reduces noise in the multimodal data, ensuring the authenticity and validity of the data. Furthermore, the compliance analysis model's identification and analysis of multimodal feature sets ensures comprehensive processing capabilities for multimodal data and comprehensive evaluation capabilities for complex compliance issues.

The invention relates to the technical field of nuclear facility environment evaluation, in particular to a method for detecting the nuclide release amount in the cutting process of a radioactive pipeline. The detection method comprises the following steps: measuring the surface nuclide activity level of the radioactive pipeline; constructing a sealed measurement space around the radioactive pipeline; arranging an aerosol sampling device, and communicating a sampling port of the aerosol sampling device with the sealed measurement space to form an air loop; carrying out cutting operation on the radioactive pipeline in the sealed measurement space, and starting the aerosol sampling device to carry out aerosol sampling at the same time; determining the nuclide activity level in the collected aerosol sample; and according to the measured activity level of the nuclide on the surface of the radioactive pipeline and the activity level of the nuclide in the aerosol sample, calculating the release amount of the nuclide. According to the method for detecting the nuclide release amount of the radioactive pipeline in the cutting process, the nuclide release amount of the abandoned radioactive pipeline in the cutting process can be accurately detected.

The application provides a quantitative description method of three-dimensional test ice shape, an electronic device and a storage medium, which comprises the following steps: obtaining an image of a three-dimensional test ice shape of a model surface in an aircraft icing wind tunnel test, so as to obtain point cloud data of the three-dimensional test ice shape; projecting the three-dimensional point cloud data along the model height direction onto a two-dimensional plane to obtain two-dimensional point cloud data; clustering the two-dimensional point cloud data by using a BLSOM neural network to obtain a two-dimensional average ice shape; calculating a tolerance band of the two-dimensional average ice shape by using a probability statistical method; and quantitatively describing the three-dimensional test ice shape by using a combination of the two-dimensional average ice shape and the tolerance band. The application describes the characteristics of the three-dimensional ice shape by using the combination of the two-dimensional average ice shape and the tolerance band, and can more comprehensively reflect the characteristic information of the three-dimensional test ice shape.

The utility model discloses a pressure displacement detection mechanism, comprising a pedestal tool fixed with a cutter to be detected; the detection modules are arranged on the two sides of the extending direction of a piston rod of the cutter correspondingly, and the detection module on each side comprises a mechanical sensor which annularly sleeves the periphery of the piston rod and is used for collecting the ejection force of the piston rod after point explosion; the displacement sensor and the axis of the piston rod are coaxially arranged, and the displacement sensor is used for detecting the real-time displacement of the piston rod in a non-contact mode; the flexible adjusting mechanism comprises a limiting air cylinder and a limiting sliding rail; wherein the output end of the limiting air cylinder is fixedly connected with the detection module and used for pushing the detection module to move in the axial direction of the piston rod, and the limiting sliding rail is parallel to the axis of the piston rod and used for slidably installing the detection module on the limiting sliding rail through a sliding block. According to the technical scheme of the utility model, high-precision and multi-parameter synchronous detection of the performance of the cutter and flexible adaptation of test working conditions are realized.

The utility model relates to mechanical detection technical field especially relates to a kind of probe mounting bracket for shaft body vibration detection, it includes the rotating shaft body to be measured and the bearing bush surrounded in rotating shaft body, the side surface of bearing bush is fixed with two mounting brackets, each the mounting bracket is fixed with one vibration probe, the vibration probe is perpendicular to the circumferential surface of rotating shaft body and is close not contact, the axis of two the vibration probe is perpendicular to each other.The utility model is fixed with bearing bush and is not loose and moves under vibration as the mounting bracket of vibration probe installation base, the axis of two vibration probes after installation coincides with the radial of rotating shaft body, and two the vibration probe is perpendicular to each other, so that the two measuring points on the rotating shaft body checked are also perpendicular to each other, to improve vibration detection accuracy.

This invention relates to the field of sampling machine technology, specifically to an intelligent sampling machine with anti-clogging function. It includes a load platform on which a carrier frame and a grain pump are mounted; a moving slide slidably connected to the carrier frame; a motor fixed to the carrier frame; a first reciprocating drive mechanism driven by the motor, used to drive the moving slide to alternately reciprocate on the carrier frame with a first stroke and a second stroke, the first stroke and the second stroke having different lengths; an upper vibration frame and a lower vibration frame, both slidably connected to the moving slide; a second reciprocating drive mechanism, driven by the motor, rotatably mounted on the moving slide, used to drive the upper and lower vibration frames to alternately reciprocate on the moving slide with a third stroke and a fourth stroke, synchronously but in opposite directions, the third stroke and the fourth stroke having different lengths; and a rotating sleeve. The beneficial effect of this invention is that it constructs a multi-dimensional, dead-angle-free anti-clogging system.

This invention discloses a wind power digital twin co-evolution detection method based on signal distribution characteristics, comprising: acquiring wind turbine signal data generated by the digital twin and wind turbine signal data collected by sensors; preprocessing the two types of wind turbine signal data respectively to ensure that the characteristic frequency amplitude error of the preprocessed wind turbine signal data is less than a preset threshold; interpolating the two types of preprocessed wind turbine signal data to the original data volume respectively; performing time-series sequence distribution transformation on the two interpolated results respectively to obtain the time-series sequence signal distribution probability; and calculating the overall difference value based on the two time-series sequence signal distribution probabilities as the output of the twin co-evolution detection result. This invention aims to verify the degree of co-evolution of the digital twin system by comparing the signal distribution of the measured values ​​and the processed digital twin values, so that the digital twin system can comprehensively and accurately reflect the operating status of the wind turbine unit.

The invention discloses a power distribution network operation characteristic evaluation method and device, computer equipment and a storage medium, relates to the technical field of power distribution network operation maintenance, can improve the objectivity and accuracy of evaluation index calculation, provides a comprehensive and reliable basis for optimal scheduling and safe operation of a power distribution network, and improves the reliability of power distribution network operation. And the requirements of intelligent and refined management of a modern power distribution network are met. The method comprises the following steps: acquiring historical operation data of a target power distribution network to be subjected to operation characteristic evaluation, and generating distributed resource scene data with spatial-temporal correlation by performing distributed resource spatial-temporal distribution characteristic analysis on the historical operation data; determining a plurality of basic evaluation indexes, and performing load flow calculation on the distributed resource scene data by referring to the plurality of basic evaluation indexes to obtain a plurality of basic evaluation results; and calculating the plurality of basic evaluation results by adopting an entropy weight method according to the power distribution network operation evaluation indexes to obtain a power distribution network operation overall evaluation result and outputting the power distribution network operation overall evaluation result.

This invention provides a method and system for understanding lift operation scenarios by integrating a multimodal perception model, relating to the field of artificial intelligence technology. First, it collects scene-triggered perception information such as visual, mechanical, and positional data of the lift operation scenario to form a trigger perception information set. Then, it performs cross-modal interactive mapping processing on the trigger perception information set to obtain interactive mapping perception information. Based on this, it performs scene adaptation calibration processing to obtain a scene-adapted perception model. The interactive mapping perception information is input into the scene-adapted perception model to perform multi-dimensional situational deduction and generate a panoramic situational description. Finally, based on the panoramic situational description, it generates dynamically adapted lift operation control commands and transmits them to the execution control unit, achieving accurate understanding and intelligent control of the lift operation scenario.

The application discloses a performance test method, device and system, to solve the problems of low test efficiency, incomplete test results and low accuracy of the existing performance test method. The method comprises: determining a first parameter value dataset corresponding to a network parameter of a gateway device under the condition that a wireless signal is transmitted between the gateway device and a transceiver, the first parameter value dataset comprising a plurality of parameter value subsets, wherein the first parameter value dataset is a parameter value corresponding to the network parameter under a first test angle; determining whether the network parameter of the gateway device meets a preset adjustment condition according to a first test result corresponding to the first parameter value dataset and / or the first parameter value subset; and adjusting the network parameter according to a second parameter value dataset if the network parameter meets the preset adjustment condition. This technical solution improves the efficiency of network performance testing and ensures that the final test results can more comprehensively and accurately reflect the performance of the gateway device.

The application discloses a blue film image defect detection method and relates to the technical field of image recognition, and comprises the following steps: S1, acquiring an original blue film image, performing color space conversion on the original blue film image, constructing a new feature channel T, and generating a multi-channel enhanced image; the application performs color space conversion on the original blue film image, then performs linear combination calculation on the L channel, the A channel and the B channel in the LAB space image to generate a new feature channel T, and when performing the linear combination calculation, each pixel value of the L channel is multiplied by a weight coefficient with a value greater than 1, so that the L channel is strengthened, meanwhile, color interference information irrelevant to blue film defects in the A channel and the B channel is weakened, and the brightness difference between the blue film surface defect area and the normal area is highlighted; and the T channel is fused with the H channel and the S channel to form a new three-channel HST image, so that the HST image can more comprehensively reflect the defect feature information in the blue film image.

The utility model relates to the technical field of water quality monitoring devices, in particular to an on-line automatic water quality monitoring device. Comprising a positioning part and a connecting hose, the connecting hose is provided with a plurality of sampling parts, each sampling part is provided with a snorkeling part, and the snorkeling parts are used for driving the heights of the sampling parts; the positioning part is provided with a suction pump, the connecting hose is connected with the suction pump, the snorkeling part comprises a positioning rod and an adjusting air bag, the adjusting air bag is connected with the connecting hose, the adjusting air bag is provided with an air pump, and when the air pump operates, the buoyancy of the adjusting air bag is changed, so that the adjusting air bag moves along the positioning rod. Through the design of the snorkeling part, the height of the sampling part can be flexibly adjusted, and automatic sampling of water bodies with different depths is realized, so that the water quality condition is reflected more comprehensively.

The application discloses a kind of based on SMA-SVM's SDN link connectivity prediction method, comprising: constructing the link connectivity vector reflecting target network data plane;Target SDN network data plane is modeled;Construct target SDN network link connectivity similarity vector;Using difference integrated moving average autoregressive model ARIMA, network link connectivity similarity vector sequence is analyzed in time series, and the change rule of link connectivity similarity vector with time is extracted;Network link connectivity vector classifier is constructed and optimized using slime mould optimization algorithm SMA;According to the prediction value output by network link connectivity vector classifier, locate fragile link and node in target network.The method of the application can improve the prediction accuracy of network link connectivity based on SDN to some extent, compared with other link prediction methods, the method has the advantages of better accuracy and stability.

The application relates to the technical field of emotion recognition, and provides an emotion type intelligent recognition method, device, equipment and storage medium, which can be used for recognizing the emotion type of a user when a customer service answers a question of the user in a financial field, wherein the method comprises the following steps: converting multi-modal data into N emotion signals, and matching a plurality of emotion types corresponding to each emotion signal; calculating the frequency of each emotion type in a database to obtain emotion frequency; calculating the weight of each emotion signal in the corresponding i emotion types to obtain i recognition degree weights; multiplying the i recognition degree weights by the corresponding emotion frequencies respectively to obtain i emotion scores; summing the emotion scores of the same emotion type in the i emotion scores to obtain M emotion type scores corresponding to M emotion types; and screening j target emotion types according to the M emotion type scores. The emotion frequency and the recognition degree weight can be adjusted to each other, and more accurate emotion scores are obtained.