2239results about How to "Reduce testing costs" patented technology

The invention relates to the technical field of logistics transportation, in particular to a logistics transportation route optimization method and system based on digital twinning. The method comprises the following steps: constructing a digital twin logistics base through multi-source heterogeneous data fusion and dynamic logistics network modeling; carrying out regional logistics distribution feature extraction and dynamic time sequence prediction based on a digital twinborn substrate to obtain a predicted regional transportation demand; performing real-time state evaluation on the line, generating a dynamic line performance matrix, and performing vehicle resource allocation in combination with the order task priority; and carrying out multi-objective solution and dynamic adjustment on the transportation scheduling scheme to finally obtain an optimal transportation scheduling scheme. And performing iterative optimization on the digital twin model through real-time deviation analysis and a feedback mechanism, and dynamically adjusting a transportation plan to form a closed-loop optimization process. Through the logistics transportation route optimization technology, the logistics transportation efficiency is remarkably improved, the cost is reduced, and the toughness of the system is enhanced.

The invention relates to the technical field of battery testing, and discloses a truck lithium battery testing method and device based on Bluetooth communication. The method comprises the following steps: performing intelligent remote matching processing on Bluetooth identification information of a truck lithium battery management system to obtain a remote Bluetooth control key, and performing lithium battery data acquisition protocol test processing to obtain a dual-channel acquisition instruction set; performing dynamic voltage, current and temperature cooperative acquisition processing on the dual-channel acquisition instruction set to obtain a multi-dimensional battery working condition characteristic spectrum; remote parameter linkage calibration processing is carried out on the multi-dimensional battery working condition characteristic spectrum, an intelligent calibration control sequence is obtained, remote charging and discharging management test processing is carried out, and a battery running state monitoring record is obtained; and performing remote health assessment processing on the battery running state monitoring record to obtain a lithium battery performance test report. According to the lithium battery testing scheme, physical connection is not needed, operation is easy and convenient, and the real-time monitoring capability is achieved, so that the testing efficiency and flexibility are improved.

The invention discloses a three-dimensional finite element model generation and numerical simulation method and system for a wading engineering composite material XCT digital image, and belongs to the technical field of finite element analysis. Comprising the steps of collecting a composite material XCT image in an initial state and performing preprocessing; performing statistical analysis on the two-dimensional microstructure parameters; a virtual XCT image is generated based on the Pix2PixHD style migration network; the method comprises the following steps of: accurately segmenting each component region of a real XCT (X-ray computed tomography) image based on a Swinin-Transformer network; completing contour feature extraction and smoothing of the segmented image based on a mapping relation between pixels and nodes; constructing a space coordinate system and carrying out discrete derivation on all yarn center points of each segmented image; grid division is carried out based on a multi-material moving cube algorithm in a CGAL library, and a global cohesion unit is inserted; completing material attribute and local material direction distribution; and customizing proper boundary conditions, and carrying out numerical simulation based on a finite element method.

The invention discloses a natural gas odorant concentration intelligent detection device suitable for remote monitoring, and belongs to the field of natural gas safety monitoring, and the natural gas odorant concentration intelligent detection device comprises an odorant concentration sensor array used for detecting original concentration data of a natural gas odorant; the cross validation module is used for carrying out fusion processing on the original concentration data corresponding to the various sensors respectively to obtain calibrated odorant concentration detection data; the pipeline monitoring module is used for obtaining pipeline operation data; the communication module is connected with the cross validation module, the pipeline monitoring module and the remote monitoring module; the remote monitoring module is used for determining an odorant concentration predicted value based on integrated multiple models according to the original concentration data and the pipeline operation data corresponding to the multiple sensors respectively; and obtaining a final odorant concentration confirmation result according to the calibrated odorant concentration detection data and the odorant concentration predicted value. According to the invention, high-precision, real-time and reliable remote intelligent monitoring of the concentration of the natural gas odorant is realized.

The invention belongs to the technical field of automobile information safety fuzzy testing, discloses an automobile information safety fuzzy testing method based on a large model, and develops optimization application research of LLMs in an automobile software fuzzy testing scene by utilizing the advantages of an artificial intelligence technology in the aspects of data processing, natural language interaction, generalization ability and the like. The concealment and effectiveness of the test set generated by the fuzz test are optimized, and the fuzz test process efficiency is improved. Through the implementation of the invention, related key technologies are applied to the fuzz test of the automobile, and other related products and enterprises in China are radiated by writing technical standards, so that the fuzz test system can be used as an application demonstration and sample plate of the fuzz test of the intelligent driving automobile. According to market analysis, fuzzy test calculation is carried out on 100 thousand automobiles every year according to the method, and the data safety and the system safety are improved.

The invention relates to an energy-saving enthalpy difference test room, which comprises two adjacent rooms, namely an indoor environment simulation room and an outdoor environment simulation room, and further comprises an indoor air handling unit, an outdoor air handling unit and an indoor and outdoor air exchange unit, the outdoor environment simulation chamber is used for placing an outdoor unit of an air conditioner to be tested, the indoor air processing unit is installed in the indoor environment simulation chamber and can adjust the temperature of the indoor environment simulation chamber, and the outdoor air processing unit is installed in the outdoor environment simulation chamber and can adjust the temperature of the outdoor environment simulation chamber. The indoor and outdoor air exchange unit is communicated with the indoor environment simulation chamber and the outdoor environment simulation chamber, and cold / hot air generated by the indoor unit of the tested machine can be introduced into the outdoor environment simulation chamber.

The invention discloses a colorimetric and fluorescent dual-mode nano-enzyme sensor. The colorimetric and fluorescent dual-mode nano-enzyme sensor comprises nano-enzyme, hydrogen peroxide and a colorimetric probe, wherein the nano-enzyme is prepared from ZrCl4, 2-aminobiphenyl dicarboxylic acid and Cu (NO3) 2 by a one-pot method; the colorimetric probe is TMB, can oxidize colorless TMB into blue oxTMB, generates an ultraviolet absorption peak at 652 nm, and has a strong fluorescence emission peak at 405 + / -5 nm. The zirconium-based metal organic framework UiO-67-NH2 with high stability is used as a carrier, Zr < 4 + > sites are replaced by part of Cu < 2 + >, the fluorescent nano-enzyme with peroxidase activity is formed, and the problems that free enzyme is difficult to recover, the stability is low and the like are solved.

The utility model relates to an automobile sealing strip fatigue resistance test device, the test device is used for carrying out fatigue resistance test on a sealing strip on an automobile window assembly, and the automobile sealing strip fatigue resistance test device comprises a test bench; the fixing mechanism is arranged on the test board and is used for fixing the vehicle window assembly; the pressing and releasing mechanism comprises a driving assembly and a profiling part connected with the driving assembly, the driving assembly can drive the profiling part to repeatedly press the sealing strip, and the profiling part is provided with a profiling face matched with the surface of the sealing strip. According to the fatigue resistance test device for the automobile sealing strip, through cooperative arrangement of the test bench, the fixing mechanism and the pressing and releasing mechanism, the fatigue resistance test can be performed on the sealing strip on the automobile window assembly in a low-cost and high-efficiency manner, and the fatigue resistance test device has relatively good universality and compatibility.

The invention relates to the technical field of window opener chains, in particular to a window opener chain strength testing device based on electric window opener production and a testing method.The window opener chain strength testing device comprises a frame and a testing window opener, a simulation window is arranged on one side of the frame, and the top of the simulation window is fixedly connected with a rotating shaft rotationally connected with the frame; a window opener chain is mounted in the test window opener, one end of the window opener chain is fixedly connected with the simulation window through a connecting seat, a mounting cylinder is arranged in the frame, the outer surface of the mounting cylinder is in sliding connection with a rotating ring, one end of the rotating ring is fixedly connected with a pull handle rotationally connected with the simulation window, and the other end of the rotating ring is fixedly connected with the test window opener. A mounting cylinder is arranged in the frame, a resistance assembly is arranged in the mounting cylinder, a straight plate is arranged on one side of the frame, a pressure applying plate for applying resistance to the simulation window is arranged at the bottom of the straight plate, sliding seats are slidably connected to the two ends of the frame, and pressure assemblies acting on the straight plate are arranged on one sides of the two sliding seats.

The embodiment of the invention discloses a pipeline welding seam quality detection method. The method comprises the following steps: aiming at each of at least two to-be-detected pipelines, acquiring a welding seam image of a welding seam on the to-be-detected pipeline, the at least two to-be-detected pipelines corresponding to the same ultrasonic phased array scanning device; detecting the weld joint image to obtain a first detection result representing the external welding condition of the weld joint, and acquiring an ultrasonic phased array image of the weld joint based on the ultrasonic phased array scanning device under the condition of determining that the weld joint has external defects based on the first detection result; and detecting the ultrasonic phased array image to obtain a second detection result representing the internal welding condition of the welding seam, and detecting the quality of the welding seam based on the second detection result. According to the technical scheme provided by the embodiment of the invention, the accurate detection of the welding seam quality of the pipeline can be realized under the condition of saving the detection cost.

The invention relates to the technical field of stress corrosion, in particular to a titanium alloy stress corrosion multi-scale modeling calculation method which comprises the following specific steps: S1, calculating to obtain physical property parameters of a titanium alloy; s2, calculating to obtain an equilibrium potential parameter; s3, testing to obtain a stress-strain curve and electrochemical parameters of the titanium alloy; s4, a titanium alloy stress corrosion two-dimensional model is established, a physical field is established according to the parameters obtained in the S1, the S2 and the S3 and the two-dimensional model, then a physical control equation is established, then the model is solved after boundary conditions are applied to the model, and finally a corrosion potential, stress and current density distribution cloud chart is obtained. According to the method, the stress corrosion model under different strains is obtained by taking the front-end calculation result as the input of multi-physics field finite element analysis on the basis of the calculation phase diagram model and the experiment and combining the basic theoretical models of the microscale and the mesoscale, so that the problems of long period and relatively high time cost and material cost of the stress corrosion experiment of the titanium alloy are solved.

The invention relates to a poplar property high-throughput accurate quantitative identification method, system, equipment and medium, the innovation of the method lies in that spectral data analysis and automatic script processing are combined, efficient data acquisition, import, matching and storage are realized, abnormal point detection is carried out by introducing principal component analysis and anti-noise mahalanobis distance, a data set is optimized, and the identification accuracy of the poplar property is improved. Building and training a model to realize high-flux accurate prediction of the material property and the density; a sample control module, an acquisition test module, an automatic processing module, a data set determination module and a result output module are integrated on the system, so that full-process automatic and intelligent management is realized; the equipment comprises a database and a memory, and the method is cooperatively executed through the database and the memory to ensure efficient operation of the method; a computer readable medium stores executable instructions, which is convenient for wide deployment and application. The method is excellent in high-throughput analysis, cost saving, environmental protection and data accuracy, and development of the poplar property identification technology is effectively promoted.

The invention relates to a photoresist and an application method thereof, and belongs to the technical field of photolithography, the photoresist comprises a solvent, and a resin, a polymer monomer, a photosensitizer and a fluorescent agent which are dispersed in the solvent, the size of the fluorescent agent is less than 100 nanometers, and the fluorescent agent can be removed through ashing, so that after the photoresist is developed, the photosensitizer can be removed through ashing. According to the method, the residual photoresist defect can be nondestructively detected by utilizing the fluorescence emitted by the fluorescent agent in the residual photoresist, and the fluorescence detection is low in cost and high in efficiency, the fluorescent agent is easy to remove, and the fluorescent agent residue is avoided, so that the detection cost of the residual photoresist defect can be greatly reduced, and the detection efficiency of the residual photoresist defect is improved; and the application prospect of the photoresist is widened.

The invention belongs to the technical field of ocean engineering, and discloses a seabed vibration elbow solid-liquid two-phase flow erosion corrosion coupling analysis method and system. The method comprises the following steps: establishing a three-dimensional fine model of a local bent pipe section; constructing a flow accelerated corrosion model by using a mass transfer equation and a solubility equation to calculate a flow accelerated corrosion rate; an E / CRC particle erosive wear model is introduced to calculate the erosive wear rate of particles to the wall surface of the pipeline; an erosion-corrosion coupling model is constructed based on the electrochemical corrosion secondary current model to simulate the erosion corrosion process of solid-liquid two-phase flow in the vibration pipeline, and an erosion corrosion coupling response rule in the vibration elbow is obtained. Compared with an original analysis method which only considers erosion wear, the erosion corrosion rate calculation precision is improved by 36%, the simulation result and experiment comparison error is reduced to be within 20%, and technical support is provided for accurate analysis of pipeline damage under the erosion corrosion coupling effect.

The invention relates to the technical field of immersed injection spray guns, and discloses a multi-channel rotational flow spray gun optimization method and system based on graph convolution, and the method comprises the steps: combining computational fluid dynamics and a graph convolution neural network technology, and rapidly predicting a velocity field and a pressure field of a spray gun through rotational flow spray gun grid coordinates and rotational flow blade boundary information; the design period is obviously shortened, the test cost is reduced, and the research and development efficiency is improved; the graph convolutional neural network model subjected to repeated training and verification has high generalization ability and high accuracy, and it is guaranteed that the spray gun can still provide reliable prediction results under different working conditions and variable industrial conditions. The system comprises a data acquisition and preprocessing module, a graph convolutional neural network model module and a rotational flow spray gun structure optimization module. The flow characteristics and local physical characteristics of the spray gun are further analyzed, efficient and stable performance can be kept in actual working conditions, the service life is prolonged, and the metallurgical reaction efficiency is improved.

The invention provides a circuit test system and method and related equipment, and the test system comprises a test mold, electronic test equipment and computing equipment, can test a plurality of circuit parameters in parallel, can complete a large number of tests in a short time for circuit boards produced in batches, can run according to a preset program, and is high in test efficiency. The test result is more accurate and stable, a high-precision test instrument can be equipped, tiny voltage and current changes can be accurately measured, the device has the characteristics of high efficiency and stability, the test cost can be reduced, defective circuit boards can be found and removed in time, defective products are prevented from flowing into the next process, the defective products are prevented from flowing out, and the rework cost is reduced. The test data can be automatically recorded and stored, subsequent data analysis and quality tracing are facilitated, and the test system has obvious advantages in the aspects of efficiency, precision, cost, data management, repeatability and the like and is suitable for large-scale and high-precision circuit board production requirements.

The invention discloses a whole-genome low-density chip for breeding high-yield and long-life characters of dairy cows and application of the whole-genome low-density chip. The invention firstly discloses a whole-genome low-density chip for breeding the high-yield and long-life character of the dairy cow, the whole-genome low-density chip comprises 10000 SNP (Single Nucleotide Polymorphism) loci, ARS-UCD1.2 is used as a reference genome, and the information of the 10000 SNP loci is shown in a table 6. The invention further discloses application of the whole-genome low-density chip. The 10,000 SNP loci contained in the whole genome low-density chip are uniformly distributed on chromosomes, cover the whole genome and important character loci, can effectively improve the longevity and the accuracy of milk yield breeding, and can be applied to gene screening, gene positioning, marker-assisted breeding and the like. In addition, the detection cost of the low-density chip is greatly reduced, and the low-density chip is more suitable for commercialized dairy farms and has important significance on dairy cow breeding and dairy cow group improvement.

The invention provides a multi-path street lamp data acquisition and analysis method based on a centralized controller, relates to the field of intelligent measurement, and realizes intelligent monitoring and fault detection of running states of street lamps through group control, centralized data acquisition and dynamic analysis of the street lamps. According to the method, grouping is carried out based on a distribution network connection relation of street lamps, switching operation of each street lamp group is controlled through a centralized controller, and operation data such as current, voltage and load are collected. And for the street lamp which operates abnormally, through multiple times of data acquisition and trend analysis, an accurate fault detection result is generated. The invention further provides a method for dynamically adjusting the grouping strategy and the delay time, and the accuracy and the detection efficiency of data acquisition are improved. According to the invention, comprehensive monitoring of the operation state of the street lamp in a complex environment can be realized under the condition that the hardware cost is limited, and the method is especially suitable for management and maintenance of an urban intelligent lighting system.

The invention discloses a thermal tracing test device and method for determining the comprehensive hydrogeological condition of an aquifer, and the device comprises a water storage system, a medium groove, a heating system, and a distributed optical fiber data collection system. The device is simple in structure and intelligent and convenient to operate, instantaneous / continuous linear heat source excitation can be achieved through the heating system, and the water pressure and temperature change conditions of all positions are monitored in real time through the distributed optical fiber data acquisition system; the comprehensive hydrogeological parameters such as the flow velocity, the flow direction, the permeability coefficient, the thermal diffusion coefficient, the thermal capacity and the heat conductivity coefficient of underground water are studied, the heating system and the distributed optical fiber data acquisition system can be used for indoor tests and field tests, operation is easy and convenient, data precision is high, and practicability is high.

The invention provides a focused ultrasound blood brain barrier opening effect prediction method and system, a medium and a terminal, and the method comprises the steps: carrying out the preprocessing of all collected acoustic signal data, and constructing a training data set based on the blood brain barrier opening effect data; training a deep learning model by using the training data set to construct a blood brain barrier prediction model; and on the basis of the blood brain barrier prediction model, predicting the permeability of the blood brain barrier according to the obtained real-time acoustic signal data of the ultrasonic contrast agent in the process of regulating and controlling the blood brain barrier so as to output a blood brain barrier opening effect prediction result. The acoustic signals are analyzed based on the artificial intelligence algorithm, a magnetic resonance contrast agent does not need to be injected, the long-time scanning process is avoided, safe and rapid prediction of the blood brain barrier permeability is achieved, and the test cost is reduced. Compared with a dye tracing method, the blood brain barrier permeability prediction method based on artificial intelligence does not need to perform any operation on a target test, is convenient and rapid, and has a living body detection capability.

The invention discloses a microwave-based polyethylene pipe hot-melt welding defect detection system, and relates to the technical field of polyethylene pipe hot-melt welding joint defect detection, and the method comprises the following steps: firstly, collecting microwave reflection signals of normal and defect-containing hot-melt welding joints, and carrying out normalization; the processed signals are sliced, sliced fragments are labeled, time domain and frequency domain features are extracted, and a defect sample data set is constructed; carrying out feature selection on the extracted features, and selecting 10 features with the highest contribution to the recognition accuracy; constructing a support vector classifier model, performing training by using the data set after feature selection, and performing hyper-parameter optimization on the model to obtain an optimal classification model; designing and realizing a polyethylene pipe hot-melt welding defect detection system, and detecting whether a welding position contains defects and defect positions or not; according to the invention, accurate detection of polyethylene pipe hot melting welding defects can be realized, defects and positions can be rapidly identified, and technical support is provided for quality safety detection of polyethylene pipes.

The invention provides a water quality multi-parameter detection method and system based on ultraviolet-visible light section spectroscopy, which are used for detecting turbidity, chemical oxygen demand and nitrate nitrogen concentration in a water sample. The method comprises the following steps: firstly, acquiring spectral data of a water sample, converting the spectral data into absorbance, then calculating influence factors of turbidity, chemical oxygen demand and nitrate nitrogen on a mixed sample spectrum, and dividing a spectral range into three characteristic spectral sections according to the influence factors, which correspond to the turbidity, the chemical oxygen demand and the nitrate nitrogen respectively. And finally, establishing a multi-parameter detection model by using a partial least squares PLS method for predicting turbidity, chemical oxygen demand and nitrate nitrogen concentration. According to the method, the interference of serious overlapping of multi-parameter spectral lines is avoided through segmented analysis of the spectrum, the detection precision is improved by utilizing a method of fusing the first-order derivative spectrum, and particularly, the effect in the aspect of nitrate nitrogen detection is remarkable. The method is easy and convenient to operate and low in cost, and a more effective technical means is provided for water quality monitoring and water environment protection.

The invention provides a test method and system of a vehicle AEB system, and belongs to the technical field of vehicle test. The method comprises the steps of generating a virtual test scene; collecting simulation video data in the virtual test scene; setting the scene recognition precision of the virtual vehicle, and simulating the message information of the virtual vehicle in the virtual test scene; simulation data including the simulation video data and the message information are sent to an AEB system of the tested vehicle, and a control signal, namely the braking deceleration, of the virtual vehicle is output; converting the brake deceleration into a brake pedal signal; inputting the brake pedal signal into a dynamical model of the test vehicle, and outputting motion information of the test vehicle; updating message information of the virtual vehicle in the virtual test scene according to the motion information; and comparing the updated message information with the standard message information in the braking state, and outputting a test result of the AEB system. The AEB system test accuracy is improved, the test period is shortened, and the test cost is reduced.

The invention discloses an efficiency test system and test method for a photovoltaic grid-connected energy storage type inverter, and belongs to the technical field of inverters, the system comprises a photovoltaic grid-connected energy storage type inverter, a photovoltaic array simulator, a power grid simulator, a monitoring acquisition device and a monitoring upper computer; the monitoring acquisition equipment is used for acquiring a direct-current electric signal input by the photovoltaic grid-connected energy storage type inverter and an alternating-current electric signal output by the photovoltaic grid-connected energy storage type inverter, and sending the acquired data to the monitoring upper computer; the monitoring upper computer is used for controlling the photovoltaic power of different proportions input by the photovoltaic array simulator and the alternating current signal output by the power grid simulator, and according to weighting coefficients corresponding to the input photovoltaic power of different proportions, the received direct current signal input by the photovoltaic grid-connected energy storage type inverter and the received alternating current signal output by the photovoltaic grid-connected energy storage type inverter. And calculating the weighting efficiency of the photovoltaic grid-connected energy storage type inverter. The system provided by the invention can more accurately test the energy conversion efficiency of the photovoltaic grid-connected energy storage type inverter.

The invention discloses a complex pavement damage condition detection method integrated with an unmanned aerial vehicle. The method specifically comprises the following steps: S1, an unmanned aerial vehicle platform and a sensor system; s2, image preprocessing and feature extraction; the invention relates to the technical field of intelligent traffic. According to the complex road surface damage condition detection method and device fused with the unmanned aerial vehicle, the unmanned aerial vehicle is high in inspection speed and wide in coverage range, the detection period is greatly shortened, the detection cost is reduced, and artificial intelligence technologies such as deep learning and machine learning are combined, so that accurate recognition and classification of road surface damage conditions are realized, and the detection precision is improved; a comprehensive detection report and three-dimensional visual analysis are provided, a scientific basis is provided for road maintenance decision, traffic safety management and urban planning, road maintenance is promoted to develop towards the intelligent and precise direction, the road maintenance efficiency and quality are improved, traffic safety is guaranteed, an interactive decision support system is developed, and the development of the road maintenance system is facilitated. And the user operation convenience and the decision-making efficiency are improved.

The invention discloses a nested MIRA primer combination for detecting hantavirus HTNV type and hantavirus SEOV type. The nested MIRA primer combination comprises a peripheral primer, an inner primer and a probe for detecting the hantavirus HTNV type and the hantavirus SEOV type, the peripheral primers for the hantavirus HTNV type are as shown in SEQ ID NO: 1 and SEQ ID NO: 2, the inner primers are as shown in SEQ ID NO: 3 and SEQ ID NO: 4, and the probe is as shown in SEQ ID NO: 5; the peripheral primers for the hantavirus SEOV type are as shown in SEQ ID NO: 6 and SEQ ID NO: 7, the inner primers are as shown in SEQ ID NO: 8 and SEQ ID NO: 9, and the probe is as shown in SEQ ID NO: 10; the primer disclosed by the invention can complete nested multienzyme constant-temperature nucleic acid rapid amplification within 30 minutes at the temperature of 39 DEG C, is simple and convenient to operate, has lower requirements on instruments, equipment and professional skills of operators, and can achieve the lower detection limit of 14.2 copies / mu L.

The invention discloses a supplier quality evaluation method, and relates to the technical field of data quality analysis, and the method comprises the steps: obtaining a data initial quality evaluation label of each supplier; counting an uploaded information quality processing comprehensive data quality evaluation value of each type of suppliers; determining an initial quality detection constraint period of each type of suppliers and performing quality tracking detection; obtaining quality tracking detection data, and analyzing and processing to obtain a quality tracking monitoring result; according to the method, the data quality of the data uploaded by the suppliers is analyzed, the availability of the quality evaluation data is ensured, the suppliers whose initial quality evaluation is unqualified are screened, and the quality of the suppliers is evaluated to be qualified. Quality evaluation resources are concentrated on suppliers whose initial quality evaluation is qualified, customized quality tracking detection is carried out on each type of suppliers, the quality tracking detection efficiency and result are improved, and the quality detection constraint period is dynamically adjusted in time.

The invention provides a circuit breaker mechanical fault diagnosis method based on a sound signal, and relates to the technical field of electric power operation and maintenance and equipment fault detection, and the method comprises the steps: collecting a sound signal generated by a to-be-diagnosed circuit breaker in the switching-on and switching-off process; preprocessing the sound signal to obtain a preprocessed sound signal containing effective information; performing denoising processing on the preprocessed sound signal based on an adversarial auto-encoder to obtain a denoised sound signal; performing time-frequency feature extraction on the de-noised sound signal based on short-time Fourier transform to obtain a time-frequency spectrogram; performing zero-crossing rate and kurtosis detection on the de-noised sound signal to obtain a zero-crossing rate feature and a kurtosis feature; and according to the time-frequency spectrogram, the zero-crossing rate feature and the kurtosis feature, diagnosing the mechanical fault of the to-be-diagnosed circuit breaker. According to the scheme, the accuracy of a fault diagnosis result can be improved while the fault diagnosis cost of the circuit breaker is reduced.

The invention relates to the technical field of artificial intelligence and medical health, and discloses a pressure detection model training method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing a pressure detection model which comprises a feature extraction layer, a feature fusion layer and a result prediction layer which are connected in sequence; wherein the feature extraction layer comprises an action unit feature recognition network, an emotion feature recognition network, an expression feature recognition network and a recessive feature recognition network; a training set is constructed, each data sample in the training set is a face image of the recognition object, and the data samples comprise marks of face action unit features, face emotion features, face expression features and face image coding features; and inputting the training set into a pressure detection model for training to obtain the pressure detection model. The method greatly reduces the pressure detection cost, is high in detection result efficiency, improves the operability, and is convenient for a user to use. And the practicability is high.

The invention provides a neutron detector sensitivity calibration device and method, and the device comprises a support assembly which is disposed in a reactor core active region and is provided with a second hole channel and a first hole channel; the transmission system is used for connecting a detector to be detected; the signal acquisition device is used for connecting the standard detector and the detector to be detected; wherein the second hole channel is used for accommodating a standard detector; the transmission system is used for transferring the to-be-detected detector to the first hole channel; the signal acquisition device is used for acquiring the current value of the standard detector in the second hole channel and the current value of the to-be-detected detector in the first hole channel. The calibration device is of a self-powered type and does not need external power supply, meanwhile, in the calibration test process, the reactor does not need to be started and shut down, the calibration test can be completed under the condition that other operation tasks of the reactor are not affected, the calibration process does not need waiting, and therefore the test cost is remarkably reduced.