193results about How to "Guaranteed Sensitivity" patented technology

The invention relates to the technical field of geological disaster monitoring, and discloses a debris flow monitoring and early warning system based on Internet of Things, comprising a multi-source data acquisition module used for acquiring environmental data related to debris flow; the data transmission module is used for transmitting the environment data to a data center or a cloud end from a collection point; the data preprocessing module is used for carrying out abnormal value cleaning, time synchronization and normalization processing on the environment data; the deep learning analysis module is used for analyzing the preprocessed data so as to predict the occurrence risk of debris flow; and the dynamic early warning and publishing module is used for generating a multi-stage early warning signal according to an output result of the deep learning analysis module and publishing early warning information to a user in multiple modes. The accuracy, the real-time performance and the adaptability of the debris flow early warning system are improved through multi-source data fusion, edge calculation and a dynamic learning mechanism so as to cope with debris flow disasters in a complex geological environment.

The invention belongs to the technical field of electrical measurement, and particularly discloses a hundred-kA impact large-current sensing device based on a multi-composite magnetic core material. The device comprises a multi-composite magnetic core framework, a current winding coil, a parallel resistor and a shielding shell, the multi-composite magnetic core framework is formed by compounding at least two magnetic materials, the multi-turn current winding coil is distributed on the multi-composite magnetic core framework, and the two ends of the parallel resistor are connected with the two ends of the current winding coil respectively; the shielding shell is located on the outer side of the composite magnetic core framework. A current conductor to be measured penetrates through the composite magnetic core framework in the axial direction, and the measurement output end of the current winding coil is connected with an output circuit. The technical problem that an existing impact large-current sensing device cannot meet the technical requirements of high-amplitude and high-accuracy impact large-current measurement is solved.

A water leakage monitoring method for a digital twinning system of a coal mine shaft comprises the steps that an RFID antenna and a Twinin-Tag sensor are installed on the wall of the shaft, a monitoring terminal is arranged on the ground, and an RFID reader is arranged at an outlet of the shaft; a shaft monitoring signal is collected in real time through a Twindow-Tag sensor, the shaft monitoring signal is read through an RFID reader, and then shaft monitoring data are obtained by analyzing and processing the shaft monitoring signal; collecting RSSI reading and phase data by using a short time window, and performing state identification by using a decision tree; carrying out coarse segmentation and fine segmentation on the leakage signal, and determining the location of a water leakage point in combination with a change point detection algorithm; and the leakage volume and the leakage rate are estimated. According to the method, the water leakage point can be accurately positioned, the volume and flow velocity information of the leaked water in the shaft can be obtained, so that a reliable basis is provided for subsequent maintenance decision making, and the method is suitable for long-term monitoring operation of the coal mine shaft.

The invention belongs to the technical field of federated learning, and particularly relates to a decentralized federated learning method and system oriented to a computing power network. The method comprises the steps that a model demand side in a computing power network uploads a federated learning task to a block chain network, screening computing power nodes according to a reputation score and a data score, and taking the screened computing power nodes as computing nodes to participate in training; the trained local model is verified through the block chain network and then is sent to a model demand side; and the model demander uses a weighted aggregation algorithm based on data fairness to aggregate the local models received in the current round and updates the global model by using an aggregation result. According to the method, the block chain is combined with federated learning under the background of the computing power network, and the universality of the model and the fairness of data are improved while the availability of the federated learning model and the node training enthusiasm are ensured.

The invention relates to the field of machine vision and image recognition, and particularly discloses a smoke detection system, which comprises a data preprocessing module used for carrying out normalization, data enhancement and clipping and zooming on an input image to obtain preprocessed image information; the feature extraction module is used for performing feature extraction by using a convolutional neural network structure, generating multi-scale feature representation, obtaining a feature extraction image, and obtaining a multi-scale feature fusion image through a multi-scale feature fusion technology in combination with feature maps of different levels; and the CBAM attention mechanism module comprises a space attention sub-module and a channel attention sub-module, and the space attention sub-module is used for enhancing features of an important space region in the multi-scale feature fusion image according to a space attention mechanism. By adopting the technical scheme of the invention, real-time detection can be realized on resource-limited equipment in a lightweight and efficient manner, and the method has high recognition accuracy for small-target and dynamically changing smoke in a complex scene.

The present invention discloses a method and system for automatically detecting surface defects of a flexible touch screen, comprising the following steps: S1: using the Retinex method to compensate for the illumination of the surface image of the flexible touch screen, and converting it to the HSV color space to obtain the converted image; S2: calculating the directional feature map based on the converted image; S3: constructing a Gaussian mixture model based on the directional feature map, and clustering the features using the expectation maximization algorithm to obtain the initial defect area; S4: optimizing the initial defect area using morphological processing to obtain the optimized defect area; S5: splicing the converted image and the optimized defect area to obtain an input image, and performing defect detection on the input image based on a multi-scale feature fusion network of deep learning. The present invention can realize fast and accurate detection of surface defects of a flexible touch screen.

The invention discloses a dry-type air-core reactor turn-to-turn short circuit fault detection method based on the average offset of resonance wave crests, and the method comprises the steps: constructing a circuit model of a dry-type air-core reactor to simulate normal operation and turn-to-turn short circuits at different fault degrees and fault positions, and obtaining a corresponding impedance logarithmic amplitude spectrum; respectively calculating the resonance wave crest offset and the characteristic value of the impedance logarithmic amplitude spectrum corresponding to each turn-to-turn short circuit; obtaining an impedance logarithmic amplitude spectrum of the dry-type air-core reactor to be detected, and calculating a resonance wave crest offset and a characteristic value; and if the resonance wave crest offset is greater than the preset threshold value, matching the resonance wave crest offset and the characteristic value with the resonance wave crest offset and the characteristic value of the impedance logarithmic amplitude spectrum corresponding to each turn-to-turn short circuit, and determining the turn-to-turn short circuit fault position and fault degree of the to-be-detected dry-type air-core reactor according to the matching result. According to the invention, the accuracy of turn-to-turn short circuit fault detection of the dry-type reactor is improved, and the safe operation of the dry-type air-core reactor is ensured.

The invention discloses an immunodetection method based on holographic imaging mode conversion and deep learning, and belongs to the field of immunoassay detection. The deep learning holographic mode conversion system constructed based on the non-paired data set reduces the influence of diffraction interference on target quantification to the greatest extent, so that holographic super-resolution imaging is realized, and challenges in paired data set generation are overcome; besides, a functional glass slide is designed, and rapid and sensitive holographic imaging detection is realized in combination with a click reaction signal amplification strategy; the functionalized glass slide is combined with the portable holographic imaging equipment, so that the detection efficiency of the system is greatly improved while accurate signal amplification is carried out, the application scene is expanded, and antibiotic residues can be rapidly and sensitively detected. The invention opens up a new research direction for high-sensitivity on-site convenient detection of trace target objects in portable equipment and complex samples.

The invention belongs to the technical field of welding, and discloses and provides a maritime work steel high-performance non-preheating welding process determination method which comprises the following steps: acquiring a first cold crack sensitivity index required by non-preheating welding at a specific temperature and a critical constraint distance and a critical constraint degree of a base metal sample; obtaining the minimum diffusible hydrogen content of a welding material required in non-preheating welding, and selecting an actual welding material based on the minimum diffusible hydrogen content; the cold crack sensitivity coefficient of the base metal sample is used for optimizing the carbon equivalent of the base metal sample to obtain a new base metal; a second cold crack sensitive index smaller than the first cold crack sensitive index is obtained, and the new base metal corresponding to the second cold crack sensitive index serves as actual base metal; and the time t100 when the peak temperature of the actual welding material and the actual base metal after welding is cooled to 100 DEG C under different welding heat inputs and the critical cooling time tcr of the welding joint are obtained, and the welding heat input when the difference value between t100 and tcr is the maximum serves as the actual welding heat input. A quantitative analysis theory system is provided for developing the welding process, orthogonal tests are avoided, and the method is high in universality.

The invention discloses a high performance liquid detection method for letemovir content, and belongs to the technical field of pharmaceutical chemicals. The method comprises the following steps: (1) preparing a sample; (2) detection: carrying out isocratic elution by adopting a chromatographic column taking octadecyl bonded silica gel as a filler, taking an ammonium dihydrogen phosphate solution with the concentration of 20mmol / L as a mobile phase A and taking acetonitrile-methanol (80: 20) as a mobile phase B; and (3) analysis: recording a chromatogram, and calculating the content of the letemovir component by a peak area according to an external standard method. According to the method, an isocratic elution detection method is selected, a base line is smooth, the requirement on an instrument is low, the detection time is short, the detection efficiency can be improved, and consumables and reagents are saved.

The invention relates to a power transmission line disconnection fault protection method, device and equipment and a storage medium, and the method comprises the steps: collecting a phase voltage value, a zero sequence voltage value and two groups of phase current values of a power transmission line in real time, carrying out the real-time monitoring of a circuit breaker, and obtaining a position state signal; according to the phase current value and the position state signal, whether the current transformer has a disconnection fault is judged in real time, and when the current transformer has the disconnection fault, a CT disconnection signal is output; obtaining a current break variable of the transmission line, calculating a self-produced zero-sequence current according to the phase current value, judging whether the self-produced zero-sequence current, the zero-sequence voltage value or the current break variable meets a preset condition or not, and if yes, outputting a disconnection protection starting signal; and after disconnection protection is started, judging whether the power transmission line has a disconnection fault or not according to the phase voltage value, the phase current value, the position state signal and the CT disconnection signal, and if the judgment result is yes, outputting a circuit breaker tripping outlet and a starting failure outlet.

The invention provides a pressure sensor and a preparation method thereof, the pressure sensor comprises a first wafer, a top semiconductor layer, a lead structure, a lead hole and a conductive column, the upper surface layer of the first wafer is provided with an absolute pressure cavity and an isolation groove; the top semiconductor layer is stacked on the upper surface of the first wafer, the lower surface layer of the top semiconductor layer is provided with a sensor functional area, the edge area of the sensor functional area is provided with four varistors which are uniformly and symmetrically distributed, each varistor comprises at least one resistance area, and the edge and the peripheral area of the sensor functional area are provided with a plurality of connecting areas connected with the two ends of each varistor; the plurality of lead structures are located on the lower surface of the top semiconductor layer and located in the isolation groove, and one end of each lead structure is electrically connected with the connection area; the lead hole is opened from the bottom surface of the first wafer and the lead structure is exposed from the bottom surface; the conductive pillar fills the lead hole. The sensor structure is improved, and the functional area of the sensor covers the opening of the absolute pressure cavity, so that the device is prevented from being influenced by the external environment, and the sensitivity of the device is ensured.

The invention discloses an intelligent follow-up visit management system for skin disease patients, and relates to the technical field of Internet. During operation of the system, multi-source data is acquired from mobile equipment, medical equipment and environment acquisition equipment worn by the patients, a comprehensive original data set D covering illness conditions and environment factors is formed, summarizing calculation is performed, and a follow-up visit result is obtained; according to the method, the dynamic follow-up scoring index DP is generated, so that the follow-up frequency adjustment identifier SF is generated, accurate regulation and control of the follow-up frequency are realized, and the defect that a fixed follow-up period cannot respond to the change of an illness state in real time is overcome. The evaluation feedback and adjustment module calculates a follow-up visit frequency adjustment identifier SF for the second time based on follow-up visit data fed back by the patient, and substitutes the follow-up visit frequency adjustment identifier SF into the data processing and feature extraction module for iterative optimization; the system can continuously adapt to dynamic changes of illness conditions, and precision and individuation of follow-up visit plans are achieved.

The invention discloses a radiation dose rate range-adjustable directional radiation detection device and an application method, and the device comprises an environment-level measurement module for detecting radiation dose, an upper computer which is in communication connection with the measurement module through a communication module, and a shielding module which is provided with a detection window matched with a radiation source to be detected; the ray attenuation adjusting module is arranged in the shielding module and is in communication connection with the upper computer; and the power supply is electrically connected with the ray attenuation adjusting module, the measuring module and the communication module. According to the directional radiation detection device with the adjustable radiation dose rate range and the application method provided by the invention, a high-sensitivity environment-level radiation detection instrument is adopted, and radiation dose rate measurement in an ultra-large range with range coverage from low to high can be realized through the ray attenuation adjustment module according to measurement requirements. According to the measurement mode, under the condition that the sensitivity is ensured, the protection range can be ensured to meet the application requirement of the high-sensitivity radiation detector at the same time.

The invention relates to the technical field of artificial intelligence and financial science and technology, and provides a forged audio detection method, device and equipment and a medium, and the method comprises the steps: carrying out the data preprocessing and feature extraction of to-be-detected audio data, so as to obtain an original feature embedding vector; performing feature compression on the original feature embedded vector to obtain a compressed embedded vector; key feature extraction is carried out on the original feature embedding vector through an attention statistics pool layer and a multi-layer perceptron to obtain a key feature embedding vector; fusing the compressed embedded vector and the key feature embedded vector through a multi-head attention mechanism to obtain a fused feature vector; and detecting the fused feature vector through the classification head to determine whether the to-be-detected audio data is a forged audio or not. Through the technical scheme of the invention, the recognition precision of the forged audio is improved, and meanwhile, better generalization ability is shown on data in different fields.

A CDM protection structure of an SOC chip and the SOC chip comprise a wafer and a substrate, a digital ground PAD-DVSS and an analog ground PAD-AVSS on the wafer are connected with a digital circuit and an analog circuit respectively, a radio frequency signal pin PIN-RF is located on the substrate and connected with the analog circuit, an independent pin leads the digital ground and the analog ground to the substrate, an inductor is connected with the digital ground PAD-DVSS and the radio frequency signal pin PIN-RF, and the digital ground PAD-AVSS and the radio frequency signal pin PIN-RF are connected with the digital circuit and the analog circuit respectively. And the CDM discharge path is controlled, and the charge release speed is slowed down, so that the CMOS tube connected with the PIN-RF is protected. The formed ESD protection path provides discharge protection for the analog circuit to ensure that charges in the analog circuit are discharged through the path and charges in the digital circuit are discharged through the inductor. The design of the CDM protection structure improves the CDM protection capability of the chip on the premise of sacrificing small receiver sensitivity, meets the effectiveness and reliability requirements of the JEDEC standard, and reduces the risk of yield reduction caused by CDM failure. Besides a digital-analog hybrid SOC chip, the method is also suitable for a single analog SOC chip.

The invention relates to the technical field of equipment control, and provides a target equipment control method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting current operation parameters of target equipment, and cleaning the current operation parameters to obtain current operation characteristics; the current operation features are input into a target fusion model for processing, a demand prediction value of work of the target equipment in the next period is obtained, the target fusion model comprises a target long-term model and a target short-term model, the target long-term model is obtained based on long-term data training, and the target short-term model is obtained based on short-term data training; the target short-term model comprises historical short-term models arranged according to a time sequence, and the adjacent previous historical short-term model is obtained by training the adjacent later historical short-term model based on the short-term data, determining a control parameter of the target equipment based on the demand prediction value, and controlling the target equipment to operate based on the control parameter. The problem that a system prediction result is inaccurate in the prior art is solved.

The invention belongs to the technical field of Raman spectroscopy, and particularly discloses a preparation method and application of a hydrogel in-situ coated Au-Pt nano-enzyme flexible SERS (Surface Enhanced Raman Scattering) substrate, and the preparation method comprises the following steps: synthesis of concentrated gold nanoparticles: stirring and heating a HAuCl4 aqueous solution to boiling, quickly adding sodium citrate, stirring and heating to obtain a concentrated gold nanoparticle solution; heating and refluxing the mixed solution for 10-60 minutes until the mixed solution becomes wine red; gradually cooling to room temperature while stirring to obtain concentrated gold nanoparticles; and preparation of the hydrogel in-situ coated Au-Pt nano-enzyme flexible SERS substrate: mixing the hydrogel and concentrated gold nanoparticles according to a volume ratio, then adding H2PtCl6 and ascorbic acid, and carrying out a reaction to obtain the hydrogel in-situ coated Au-Pt nano-enzyme flexible SERS substrate Au-Pt-Atar. According to the prepared Au-Pt-Agar, due to the fact that the Au-Pt-Agar effectively coats the nano particles, the influence of the external environment (oxygen, acid, alkali and the like) on the nano particles is prevented, the particles are evenly dispersed in the hydrogel, and the detection uniformity and stability of an SERS substrate are improved under the condition that the sensitivity is guaranteed.

The invention relates to the technical field of tension machines, in particular to a self-locking safety hydraulic tension machine which comprises a movable chassis, a tension wheel used for winding a cable is arranged on the upper portion of the movable chassis, a mounting frame is arranged at the conveying end of the tension wheel, and a locking device used for preventing the cable from returning is arranged on the mounting frame. The locking device comprises a bottom plate arranged in the cable conveying direction, a trigger device used for monitoring the cable conveying direction is arranged on the upper portion of the bottom plate, and the output end of the trigger device is connected with a blocking device used for clamping the cable, so that the reaction sensitivity is guaranteed, and the use safety is greatly guaranteed.

This invention discloses a hydraulic piston for an air booster pump, relating to the technical field of hydraulic pistons for air booster pumps. It includes a push rod, one end of which has a positioning insert that can pass through a brake piston, and the other end is a connecting end that connects to an air chamber piston. A sealing gasket is provided between the brake piston and the push rod for sealing connection. The diameter of the free end of the sealing gasket is smaller than the diameter of the contact surface of the push rod. This application eliminates the push rod seat connecting the brake piston and the push rod in conventional air booster pumps, ensuring braking sensitivity and thus increasing safety. This application achieves rapid and sensitive response by directly connecting the brake piston and the push rod, improving braking safety and saving braking reaction time.

The throat vibration device comprises a first box body, a vibration reduction body, a contact body, a piezoelectric ceramic buzzing piece and a first control panel, the first box body comprises a first side bottom shell and a first side face shell which are connected, the first side bottom shell is provided with a first protruding part protruding towards the inner side, and the end face of the first protruding part is provided with a first installation groove; the vibration reduction body is mounted in the first mounting groove, the vibration reduction body comprises a bottom plate and a surrounding wall arranged around the bottom plate, and a second mounting groove is defined by the surrounding wall and the bottom plate; the contact body is provided with a skin contact surface, and the contact body is mounted in the second mounting groove; the piezoelectric ceramic buzzing piece is arranged in the contact body and is close to the skin contact surface; the first control panel is arranged in the first box body and electrically connected with the piezoelectric ceramic buzzing piece. The first control panel is provided with a first Bluetooth transmission module and an electrical connection port exposed out of the first box body. The throat vibration device is novel in structure, high in sensitivity and high in wind noise resistance.

The present invention provides a gas relay that is easy to maintain, including an oil passage chamber, an electrical chamber, an air storage chamber, a baffle, a plate magnet, a first transition magnet, a plurality of first reed switches, a magnetic transmission block and a first induction mechanism, wherein the air storage chamber is arranged at the upper end of the oil passage chamber and is connected to the oil passage chamber, the electrical chamber is independently arranged with the oil passage chamber and the air storage chamber, the oil passage chamber has an oil inlet and an oil outlet, the baffle is rotatably arranged in the oil passage chamber, the plate magnet is arranged on the baffle, a plurality of first reed switches are horizontally arranged in the electrical chamber, the magnetic transmission block is arranged on the plurality of first reed switches in parallel with the arrangement direction of the plurality of first reed switches, the first transition magnet is arranged between the oil passage chamber and the electrical chamber and close to the fault position, and the first transition magnet includes a horizontal portion arranged in parallel with the magnetic transmission block and a vertical portion arranged at the upper end of the horizontal portion. The present invention can avoid the situation where insulation drops and carbon bridges are formed, and when the reed switches are maintained, there is no need to cut off the oil circuit of the transformer, and the maintenance is convenient.

The present invention discloses a Chinese medicine small splint external fixation device, comprising a first splint, a second splint, a third splint, a fourth splint, a strap for fastening the first splint, the second splint, the third splint and the fourth splint to a human arm, and a transverse connection device, the transverse connection device comprising a first shaping track for positioning the first splint and a second shaping track for positioning the third splint, the first shaping track and the second shaping track penetrate into the second splint, and the second splint is located between the first splint and the third splint. The Chinese medicine small splint external fixation device of the present invention can conveniently adjust the position of the splint, facilitate external fixation operation, maintain the sensitivity of the constraint force ring, and improve the reliability of the device and the simplicity of operation through the combined single webbing control mode.

The invention discloses a two-way anti-leakage, extended-life, recyclable tail shaft front sealing device, which relates to the technical field of tail shafts. The two-way anti-leakage, extended-life, recyclable tail shaft front sealing device comprises a first sealing mechanism, a second sealing mechanism is arranged on the inner side of the first sealing mechanism, a protective ring is fixedly connected to the surface of the first sealing mechanism, a gas filling valve is fixedly connected to the surface of the first sealing mechanism, the gas filling valve is located on the inner side of the protective ring, and a docking ring is slidably connected to the inner side of the first sealing mechanism. The two-way anti-leakage, extended-life, recyclable tail shaft front sealing device ensures the ease of replacing rubber pads of the device, and ensures that when the rubber pad is corroded by seawater after being used for a period of time and fails to achieve good anti-leakage performance, the docking ring can be easily separated from the first sealing mechanism and the rubber pad can be replaced, thereby improving the ease of replacing the rubber pad between the first sealing mechanism and the second sealing mechanism.

The invention discloses xanthomonas citri subsp.citri phage and application thereof, and relates to the technical field of biology. The xanthomonas citrus subspecies phage is preserved in the China Center for Type Culture Collection on July 4, 2024, the preservation address is Wuhan University, Wuhan, China, and the preservation number is CCTCC NO: M 20241486. The xanthomonas citrus subsp.citri bacteriophage can specifically inactivate the xanthomonas citrus subsp.citri, mass proliferation can be completed only with a small amount of initial bacteriophage, and a high-quality bacteriophage strain source is provided for industrial production of bacteriophage bactericides; technicists in the field can prepare various products applied to the aspects of detection, disinfection, plant protection and the like from the xanthomonas citrus subsp.citri phage provided by the invention according to records and common knowledge in the field by technicians in the field, and the products are industrially applied to the xanthomonas citrus subsp.citri phage.

The application belongs to the technical field of drying processing, in particular to a drying device for an ice crystal production line, which comprises a butt joint component, left and right sides of the butt joint component are symmetrically provided with traction components, a drying component is arranged on one side of the top of the traction component close to the butt joint component, and a pressurizing component is arranged on the other side of the top of the traction component away from the butt joint component; the pressurizing component comprises an outer rotating cylinder shell, and an oil tank is fixedly connected to the shaft center of the inner cavity of the outer rotating cylinder shell. The device can simultaneously spray fire from the inside and outside of the mesh baffle through the inner flame spray head and the ignition lance, uniformly heat the ice crystal inside and outside of the mesh baffle, and avoid the problems of uneven heating of the ice crystal and over-drying of the ice crystal, thereby avoiding the problem of burning of the ice crystal.

The invention discloses a quantum classical mixed image classification method based on group isovariant and delayed aggregation. The method comprises the following steps: lifting a convolution module, inputting a target image, initializing a convolution kernel and rotating the convolution kernel, and carrying out convolution and stacking on the target image to obtain an output image; the group convolution module is used for converting the output image of the convolution module into an image sample and carrying out convolution and reverse remodeling operation to obtain an output image; the group pooling and flattening module is used for carrying out adaptive average pooling on an output image of the group convolution module, compressing the output image into a feature vector and obtaining an output feature vector; the group equivariant quantum feature processing module encodes the feature vectors to quantum bits according to the feature vectors output by the group pooling and flattening module; and the delay aggregation and output module measures the quantum bits, aggregates and classifies measurement results, and completes classification of target images. The method provided by the invention has strong nonlinear feature fusion capability, and can realize more accurate image classification.

The present invention discloses a human papillomavirus typing primer set for targeted pathogen high-throughput sequencing and a screening method thereof. The primer set of the present invention has the advantages of high specificity, good stability, absence of primer dimers and hairpin structures, low cost, etc., and can be applied to targeted amplification, library construction, targeted pathogen high-throughput sequencing and subsequent bioinformatics analysis of pathogen-infected samples, and can efficiently and accurately detect and classify multiple HPV types.

The utility model discloses a switch structure of a range hood and the range hood. The switch structure of the range hood comprises a limiting reinforcing part, the limiting reinforcing part is adjustably mounted on an exhaust fume collecting hood of the range hood in the front-back direction, and a limiting containing cavity with a first opening in the front side is formed in the middle of the limiting reinforcing part; the switch assembly is arranged in the limiting containing cavity, the switch assembly comprises a switch box and a switch body arranged in the switch box, a limiting protrusion is arranged on the front side face of the switch box, and the front side face of the limiting protrusion and the front side face of the switch body are coplanar; the panel is installed on the exhaust fume collecting hood and located on the front side of the switch assembly, and the rear side face of the panel is attached to the front side face of the switch body and the front side face of the limiting protrusion.

The invention belongs to the technical field of hydrogen energy safety engineering, and particularly relates to a material hydrogen compatibility testing device and method. The material hydrogen compatibility testing device comprises a high-pressure kettle; the stretching rod penetrates through the high-pressure kettle in a sliding sealing manner, and the two ends of the stretching rod are located on the inner side and the outer side of the high-pressure kettle respectively; the two ends of a columnar sample are connected with the autoclave and the stretching rod through the clamps respectively, and the central axis of the sample coincides with the central axis of the stretching rod. The problem that in the prior art, the requirement for the machining precision of a disc sample is harsh can be solved, and the problem that in the prior art, the disc sample possibly deforms or generates uneven internal stress in the clamping process can be solved.