813results about How to "Avoid distortion" patented technology

The invention relates to a virtual image expression generation method and system based on a real feeling technology. The method comprises the steps of collecting facial expression data in a multi-angle mode, and performing triangulation and facial region marking through the collected facial expression data; component analysis is carried out on the facial region, main features of facial expression changes are extracted, and a facial model is established through weighted fusion; establishing a mapping relation between the expression features and the facial displacement, and calculating a geometric constraint function of the facial displacement; correspondingly generating different expression models according to the geometric constraint function, optimizing details of a specific area and realizing dynamic face rendering on the virtual image; by introducing multi-view data acquisition, a multi-level feature extraction and fusion strategy, expression displacement regression analysis, geometric constraint and detail optimization, the authenticity and personalized effect of virtual expression generation are greatly improved.

The invention provides an electric control box remote data acquisition system based on the Internet of Things, and relates to the technical field of data processing, and the method comprises the steps: obtaining the operation state data of an electric control box through a sensor, transmitting the operation state data through a wireless signal network, obtaining a data frame set, analyzing the data identifier of each data frame, verifying the integrity of the data, and obtaining the data frame set; determining performance parameters of the wireless signal network, detecting whether an abnormal change occurs in the transmission process, generating a solution when the abnormal change occurs, generating a retransmission signal when packet loss occurs in the transmission process, determining a retransmission queue according to the data identifier, and transmitting the retransmission signal according to the retransmission queue when delay occurs in the transmission process. The priority of a retransmission queue and the distribution of network bandwidth are dynamically adjusted, and when signal attenuation occurs in the transmission process, the execution sequence is adjusted according to the operation record and result of a solution by switching a transmission channel and adjusting transmission power. The transmission process of the operation data of the electric control box can be detected.

The invention discloses an optical fiber line fault detection method and system, and the method comprises the steps: employing broadband light sources at the two ends of an optical fiber in an optical fiber network at the same time, and carrying out the frequency coding of a signal in the broadband light sources, and obtaining an optical signal; collecting optical fiber sensing data; performing multi-mode acquisition on the optical signal to obtain multi-mode optical signal data; preprocessing the multi-mode optical signal data and the optical fiber sensing data to obtain clear signal data; analyzing and fusing the clear signal data to obtain fused data; and inputting the fusion data into a pre-purchased fault identification model, and outputting a fault type. According to the method, through technologies of multi-modal data fusion, high-frequency signal extraction, physical model constraint, feature compression and the like, the problems that the complex fault recognition capability is insufficient and the stability of the model is weakened by environmental interference are effectively solved, and the precision, robustness and generalization capability of optical fiber line fault detection are remarkably improved.

The invention relates to the technical field of audio processing, in particular to an intelligent power amplifier calibration method, system and device. The method comprises the following steps: monitoring corresponding voltage and current waveforms of a power amplifier in real time and carrying out load impedance response analysis to obtain power amplifier load impedance; acquiring a power amplifier output audio signal, and performing spectrum analysis and audio distortion detection to obtain a power amplifier output audio distortion degree; performing gain self-adaptive adjustment on the power amplifier based on the power amplifier output audio distortion degree to obtain power amplifier output self-adaptive adjustment gain; performing frequency response optimization corresponding to different frequency bands on the power amplifier output audio frequency spectrum to generate power amplifier response optimization output frequencies corresponding to different frequency bands; and performing intelligent feedback calibration on the power amplifier based on the power amplifier output adaptive adjustment gain and the power amplifier response optimization output frequency corresponding to different frequency bands to generate an intelligent calibration power amplifier. The overall performance and the use experience of the power amplifier can be improved.

The invention discloses a tree lodging detection method and system combined with reference object image analysis. The method comprises the steps that based on an initial image shot by a low-altitude camera, key point positions are determined through a tree and reference object key point detection model, two straight lines are formed through fitting, and the current weather condition is judged. And if the weather is not the extreme weather, evaluating the state of the tree through the two fitting straight lines, and outputting the image and position information of tree inclination or lodging. If the weather is extreme weather, further judging whether the tree is submerged by accumulated water or not. If not, monitoring the change of the included angle between the fitting straight lines to detect whether the tree locates or not; if so, outputting the lodging position and direction. And if the tree is submerged by the accumulated water, calculating the height of the submerged part by adopting a reference object and accumulated water relation model, updating the key points of the tree, finally determining the state of the tree by comparing the fitting straight line, and outputting a corresponding evaluation result. By implementing the method provided by the invention, the precision and reliability of tree lodging monitoring can be improved.

The invention relates to a multi-focus image fusion method based on multi-layer semantics and multi-scale self-attention, and the method is characterized in that the method comprises the steps: obtaining a source image, inputting the source image into an MSI-Dtrans model, carrying out the feature extraction of the source image through Haar wavelet transform, obtaining the feature information of different scales, and carrying out the fusion of the multi-focus image through the MSI-Dtrans model. Inputting the feature information of different scales into a dynamic Transform for processing, and obtaining an initial focus image; wherein the network architecture of the MSI-Dtrans model adopts a multi-stage up-down sampling structure of a U-shaped network and is obtained through training of a training set, and the training set comprises multiple image pairs generated based on blurred images of different degrees and training labels; and fusing the initial focus image with the source image to obtain a final fused image. According to the invention, image distortion is effectively avoided and a good visual effect is achieved.

The invention relates to the technical field of network security, in particular to a method and device for detecting illegal external connection of a terminal and a storage medium, and the method comprises the steps: obtaining all terminal equipment connected with a local area network, distinguishing authorized terminal equipment and unauthorized terminal equipment through authorization detection, and carrying out the risk grading of the authorized terminal equipment; the method comprises the following steps: generating an external connection behavior data set by combining client monitoring data, network layer monitoring data and intranet detection data, extracting key information such as an external connection target, access time, a protocol type and a port number, and dividing into pure intranet connection equipment, normal external connection equipment and unknown external connection equipment according to external connection permissions; inputting the log data of the unknown external connection equipment into the log anomaly detection model based on the Transform architecture, identifying an abnormal event, and calculating a log risk score; and if the log risk score exceeds a preset threshold, determining that the device is an illegal external connection device. According to the method, accurate detection of illegal external connection behaviors is realized, and the safety performance of a monitoring system is remarkably improved.

The invention provides a three-dimensional galvanometer correction method and laser processing equipment. The method comprises the steps of controlling a motion platform to move to a reference surface of a galvanometer assembly; determining a contour line of a circle with a preset value as a radius on a medium of the motion platform by taking the central point of the galvanometer assembly as a circle center; a plurality of first marking grids are marked on the contour line in the preset direction through laser, each first marking grid in each first marking grid corresponds to one deflection angle, and each first marking pattern corresponds to the position of one zoom lens; detecting each first marking grid based on a visual component so as to determine a first target position corresponding to the focal point of the laser from the positions of the zoom lens corresponding to the plurality of first marking patterns of each first marking grid; fitting the radius of the contour line and the first target positions corresponding to the plurality of first marking grids to obtain a first curve; and compensating the position of the zoom lens according to the first curve. By means of the method, the three-dimensional galvanometer can be accurately corrected.

The invention provides a bulk acoustic wave resonator, a filter and a manufacturing method thereof. The bulk acoustic wave resonator comprises a bulk acoustic wave resonator carrier with a first resonant cavity, a first electrode layer, a piezoelectric layer, a second electrode layer and a bulk acoustic wave resonator cover body with a second resonant cavity and a heat dissipation layer, the heat dissipation layer is provided with at least one protrusion. The second electrode layer covers a first area of the first surface of the piezoelectric layer, and the first area is the surface, close to one side of the bulk acoustic resonator cover body, of the piezoelectric layer; the first electrode layer covers a second area of the second surface of the piezoelectric layer, and the second area is the surface, close to one side of the bulk acoustic resonator carrier, of the piezoelectric layer; the orthographic projection of the second area on the bulk acoustic wave resonator carrier is at least partially overlapped with the orthographic projection of the first area on the bulk acoustic wave resonator carrier. The heat dissipation layer with a special structure is arranged at a proper position, so that the heat dissipation area can be increased, the heat dissipation efficiency is improved, and the problems of poor heat dissipation effect, poor performance and the like of the bulk acoustic wave resonator are solved.

The present invention discloses an intelligent charging pile, which relates to the technical field of charging piles, including a charging pile body, a placement seat, a charging gun, and a charging cable. A storage cavity is provided on the front side of the charging pile body, and a front baffle is fixedly connected to the inner wall of the storage cavity, and a storage adjustment mechanism is provided on the inner wall of the storage cavity. This intelligent charging pile can gradually pull out the charging cable wound on the winding drum for use after taking the charging gun when using the charging pile, so as to avoid the charging cable from rubbing on an uneven or rough ground, which is beneficial to reduce the use wear of the charging cable. At the same time, after putting the charging gun back, the pulled-out charging cable can be automatically recovered by using a torsion spring, and the support rod and the winding drum are used to cooperate so that the winding drum can move left and right during the rotation process, which is not only more uniform when winding, but also avoids excessive distortion of the charging cable when pulling it out, thereby ensuring the service life of the charging pile.

The invention discloses a simulation method for evaluating damage of a concrete gravity dam under the action of an explosion load. The simulation method comprises the following steps: establishing geometric models of the concrete gravity dam, water and explosives, performing grid division on the geometric models, and dispersing units into particles to obtain a discretization model; giving material parameters, boundary conditions and contact to the discretization model, and setting a detonation point position and a detonation mode; coupling effects between the explosive and water, between the water and the concrete gravity dam and between the explosive and the concrete gravity dam are set; key information is initialized; a fluid-structure interaction force is calculated by adopting an asynchronous solution IHPD-SPH coupling method; an SPH solver is adopted to update the speed and density information of the fluid; an IHPD solver is adopted to update internal force and acceleration information of the solid; checking whether the calculation duration is met or not, and if yes, ending calculation; if not, recalculating the fluid-solid coupling force according to the currently obtained particle state; and obtaining a dam damage result, and performing damage grade evaluation.

The invention discloses a meat product foreign matter on-line detection method and system, and belongs to the field of visual detection.The detection method comprises the steps that a fixed detection area is set, a multi-mode sensor is installed above the fixed detection area, and the multi-mode sensor collects data and transmits the data to a data processing center through a wireless network; the data processing center decompresses and preprocesses the received data and fuses the image data twice to obtain a final fused image; according to the feature information in the final fusion, extracting fusion feature data; analyzing the feature data by using a support vector machine, and judging whether foreign matters exist or not and classifying the types of the foreign matters; a detection result is fed back to a production line control system in real time, and meat products containing foreign matters are positioned and removed. According to the method, the multi-mode sensor and an efficient data analysis technology are combined, and the accuracy and the real-time performance of meat product foreign matter detection are effectively improved.

The invention discloses a spectral analysis device and a control method thereof, and relates to the technical field of spectral analysis. The spectral analysis device comprises a spectral analysis chamber, a measuring gas chamber and a sample loading device. A light source and a detector are arranged in the spectrum analysis chamber; the measuring gas chamber is adjacent to the spectral analysis chamber and is used for providing required adjustable atmosphere conditions for a sample to be detected, and an optical window for an optical signal to pass through is arranged between the measuring gas chamber and the spectral analysis chamber; a to-be-tested sample is placed on the sample loading device. The measuring gas chamber is additionally arranged at the position adjacent to the spectral analysis chamber, and can provide required adjustable atmosphere conditions for the sample to be detected, so that the stability of environmental conditions in the analysis process is ensured. When XRF or LIBS spectral analysis is carried out, absorption of the atmosphere to spectral signals in a light path can be effectively reduced. The arrangement of the measuring air chamber can separate the sample to be measured from the optical window, so that attenuation and distortion of spectral signals caused by attachment of external dust are effectively avoided, and the acquired spectral data are ensured to be more accurate.

The invention relates to the technical field of audio processing, and discloses a multi-mode audio processing method and system based on an SOC. The method comprises the following steps: inputting multiple paths of audio input signals into an ARM processor of an SOC chip for processing, and generating a preprocessed audio data stream; inputting the preprocessed audio data stream into a basic audio processing stream executed by a digital signal processor (DSP) and a multi-modal feature extraction stream executed by an artificial intelligence (AI) accelerator in parallel; performing adaptive noise reduction processing and multi-channel audio signal sound mixing processing in the basic audio processing stream to generate a basic processing feature stream; performing multi-dimensional feature extraction and scene type identification in the multi-modal feature extraction stream to generate a high-level feature stream; according to the method, the processing capability of the SOC chip on different types of audio signals is improved, the continuity and smoothness of the reconstructed audio signals are ensured, and signal distortion is effectively avoided.

The invention relates to the technical field of panoramic video processing, in particular to a panoramic video stability enhancement method based on space-time consistency, which comprises the following steps: acquiring a panoramic video frame sequence; obtaining spherical projection coordinates of each frame in the panoramic video frame sequence; based on the spherical projection coordinates, a deep learning model is constructed, and the deep learning model comprises a feature extraction encoder and a motion prediction compensation decoder; performing feature extraction on the panoramic video frame sequence by using a feature extraction encoder; performing motion prediction and compensation by using a motion prediction compensation decoder based on a feature extraction result; constructing a space-time filter according to the motion prediction and compensation result, and smoothing the motion vector; based on the smoothed motion vector, performing multi-frame motion analysis by using a long time sequence network; according to a multi-frame motion analysis result, designing panoramic video optical flow motion estimation; performing stable enhancement processing on the panoramic video frame sequence based on an optical flow motion estimation result; and outputting the stably enhanced panoramic video.

The invention discloses a multi-output high-performance integrated laser driver driving method, relates to the technical field of integrated laser driver driving, and aims to solve the problem of poor signal stability of a multi-output channel of an existing laser driver. A monitoring module is installed on each output channel, the quality of output signals and the running state of a driver are monitored in real time, immediate feedback is provided, the reliability of the system is ensured, a driver control strategy is automatically adjusted and corrected according to early warning data, it is ensured that the system can be rapidly recovered to the optimal state after an abnormality occurs, and the reliability of the system is improved. The self-adaptive capability of the system is improved, the system performance can be further optimized through a secondary driver control strategy obtained through automatic adjustment and correction, manual intervention is reduced, the intelligent level of the system is improved, and a personalized control strategy for a specific application scene can be generated through deep performance analysis. Therefore, the driver is better in performance in a special application environment.

The invention discloses a well drilling vibration measurement and real-time calibration system based on a vibration sensor, and relates to the technical field of data processing. The system comprises a signal measurement part, a signal correction compensation part, a signal analysis part and a signal calibration part, the signal measuring part is used for installing a vibration sensor and an accelerometer near a drill bit or a drill column and generating a fundamental frequency vibration signal; the signal correction compensation part is used for performing stick-slip effect compensation on the fundamental frequency vibration signal to obtain a first compensation signal; calculating the resonant frequency of the drilling system; calculating the bending stress of the drill string; calculating well track deviation; the signal analysis part is used for calculating the dynamic load of the drilling system to obtain the vibration energy dissipation of the drilling system; calculating the system response of the drilling system; and the signal calibration part is used for calculating a calibration coefficient. According to the invention, the precision and calibration capability of vibration signal measurement are significantly improved.

The invention relates to the technical field of medical instruments, in particular to a flexible ureteroscope used in cooperation with a diameter-variable ureteroscope sheath, which comprises a ureteroscope sheath body and a flexible ureteroscope body, the ureteroscope sheath body comprises a deformation section and a support section, the deformation section has a first form and a second form, and the flexible ureteroscope body comprises a handle section and a ureteroscope tube section. The endoscope tube section comprises a first tube body part and a second tube body part, a fixing groove is formed in the first tube body part, and the outer diameter of the deformation section in the first form is smaller than or equal to the outer diameter of the first tube body part; the inner diameter of the deformation section in the second form is greater than the outer diameter of the first pipe body part; a first liquid injection channel is further arranged in the endoscope tube section, and a first liquid outlet hole is formed in the fixing groove. Compared with the prior art, in the operation of expanding the human body ureterostenosis section by the deformation section, a stenosis ring in the human body ureterostenosis section does not need to be broken by supporting, so that the injury to the human body ureter in the ureteroscope lithotripsy is effectively reduced, and the postoperative pain of a patient is reduced.

The invention provides an intelligent beauty feature optimization processing method and system for high-definition face changing, and relates to the technical field of image processing, and the method comprises the steps: extracting the features of a source face and a target face through a nonlinear feature decoupler, modulating a feature mapping group through a diffusion probability field, and fusing expression and identity features; extracting contour and detail features by using spectral domain conversion and sub-band decomposition, and performing structure mapping and texture enhancement; and extracting core facial beautification features through high-order tensor decomposition, performing adaptive facial beautification through a quantum entangled state coding network, and outputting a high-definition face-changing facial beautification image by using a fractional order partial differential equation.

The present invention relates to a plasma thruster plume parameter multi-point measurement device and a measurement method, the multi-point measurement device comprises: a vacuum chamber; a vacuum pump unit connected to the vacuum chamber; an industrial control unit connected to the vacuum pump unit, used to provide and maintain the vacuum environment of the vacuum chamber; and a measurement unit; the measurement unit comprises: at least two three-dimensional mobile platforms arranged in the vacuum chamber; a detection structure arranged on the three-dimensional mobile platform; a collection unit connected to the detection structure and used to collect data; the detection structure adopts a Langmuir probe, an RPA probe or a Faraday probe. The present invention can improve the plasma measurement efficiency, can continuously measure the multi-point symmetry of the plume, break the limitation of the use of the Langmuir probe, and shield the error interference in the probe circuit. At the same time, the multi-point measurement device of the present invention has a simple structure, is stable and reliable, and has strong practicality.

The invention belongs to the technical field of electronic information and communication, and discloses a self-adaptive signal transmission path optimization system of a chip, which comprises a data acquisition module used for acquiring monitoring video data, chip internal parameter data and chip transmission environment data; the data processing module is used for preprocessing the acquired monitoring video data, chip internal parameter data and chip transmission environment data to obtain a video feature data set, a chip internal parameter feature data set and a chip transmission environment feature data set; analyzing the influence of the chip transmission environment feature data set on the video feature data set and the chip internal parameter feature data set to obtain a transmission influence feature data set; the transmission error analysis module is used for training and obtaining a transmission error prediction model according to the transmission influence feature data set, and obtaining errors generated in the chip internal transmission process of the monitoring video signals based on the transmission error prediction model; the reliability of signal transmission is improved, and the chip resource allocation is more efficient.

The invention discloses a coarse cereal quality evaluation method and system based on a characteristic spectrum, and relates to the technical field of coarse cereal quality evaluation.The coarse cereal quality evaluation method comprises the following steps that light of a specific wave band is emitted to the surface of quinoa through a hyperspectral imager, and spectral data reflected by the surface of the quinoa are collected; the chenopodium quinoa willd surface spectrum change is captured through the spectrum extreme value attenuation index and the spectrum width index, the spectrum characteristic change coefficient is generated in combination with the machine learning model, and accurate judgment of mildewing of different degrees is achieved. Aiming at insufficient reflection caused by an oxide layer, the light emission duration is dynamically adjusted based on a Bayesian optimization algorithm, reliable spectral information is ensured to be obtained, and the adaptability and the detection precision are improved. In a complex environment, the system can stably and accurately identify mildew, delay is avoided, and high-quality data is provided for coarse cereal quality evaluation.

The invention relates to the technical field of water gauge identification, in particular to an intelligent water gauge identification system based on a big data technology, which comprises a data acquisition and calculation module, a denoising processing module and a texture restoration module, and is characterized in that the data acquisition and calculation module calculates a low-frequency illumination component and a high-frequency detail component of each pixel in a water gauge image by using a Gaussian filter; the denoising processing module selects each pixel in the image as a central pixel to be denoised, calculates a similarity weight between the central pixel and a pixel in a neighborhood, calculates a denoised pixel value according to the weight and a low-frequency illumination component of the pixel in the neighborhood, and combines the denoised pixel value with a high-frequency detail component to generate a complete denoised pixel; and the texture restoration module further selects all the denoised pixels as central pixels to be textured, calculates comprehensive weights of the central pixels and pixels in a neighborhood, calculates texture restoration pixels based on the weights and low-frequency illumination components, and restores texture missing or distortion caused by noise, so that a final image is more natural and real.

The utility model relates to the technical field of mining equipment, and discloses a water-cooling double-roller coarse crusher for natural asphalt ore, which comprises a crushing bin, the front parts of the outer walls of the two sides of the crushing bin are movably sleeved with first rotating shafts, and the rear parts of the outer walls of the two sides of the crushing bin are movably sleeved with second rotating shafts; and crushing rollers are fixedly connected between the two first rotating shafts and the two second rotating shafts, two inner bearings are fixedly arranged in the two first rotating shafts and the two second rotating shafts in a sleeving mode, and water inlet pipes are fixedly arranged in the multiple inner bearings close to one side in a sleeving mode. The cooling effect of the roller can be improved through the arranged efficient cooling structure, the service life of the roller is further prolonged, the water pipe can be better limited through the arranged auxiliary structure, the problem that the water pipe is twisted due to synchronous rotation caused by rotation of the rotating shaft is effectively solved, and the service life of the roller is prolonged. Therefore, the purpose of stable use is achieved.

The invention discloses a full-automatic pipe coiling machine. The full-automatic pipe coiling machine comprises a frame, a coiling device, a pipe clamping device and a brake mechanism, the tops of the two sides of the frame are each provided with a support. The reel device comprises a winding drum and a supporting shaft, and a hose is wound on the winding drum; the winding drum is rotationally connected with the two supports through a supporting shaft, and a coil spring is further arranged between the winding drum and the supporting shaft. The pipe clamping device is located on one side of the winding drum and used for controlling the winding drum to rotate or be fixed. The brake mechanism is located on the other side of the winding drum and used for controlling the rotating speed of the winding drum. The device is simple in structure, convenient and rapid to operate, capable of achieving rapid inflation operation in a limited deck space, capable of automatically recycling the inflation hose after inflation operation is completed, small in size and small in occupied space, and interference of disordered decks on other operations is avoided.

The invention relates to the technical field of electric vehicle safety, and discloses an electric vehicle speed signal safety verification method and related equipment, and the method comprises the steps: obtaining a vehicle speed signal and an effective flag bit thereof, and obtaining a motor rotating speed signal and an effective flag bit thereof, and achieving the multi-verification of vehicle speed information. Through a multi-verification mechanism, vehicle speed information misjudgment caused by single signal error or failure can be obviously reduced. By detecting the communication of the whole vehicle in the power-on state, the communication fault or abnormity can be found in time, so that the vehicle speed signal distortion caused by the communication problem is avoided, the safety verification is effectively carried out on the premise of the vehicle speed authenticity, and the accuracy of the verification result is ensured.

The invention discloses a deburring device for mooring chain welding, and belongs to the technical field of equipment related to cutting or surface cleaning, the deburring device comprises a positioning mechanism, a deburring mechanism is arranged below the positioning mechanism, the positioning mechanism comprises a guide mechanism, a lifting assembly is arranged on one side of the guide mechanism, and an adjusting assembly is arranged on the other side of the guide mechanism; a first supporting assembly is arranged above the guiding mechanism, the deburring mechanism comprises a U-shaped supporting frame, a pair of cutter adjusting assemblies are arranged on the inner side of the U-shaped supporting frame, deburring cutters are arranged on the two cutter adjusting assemblies, an anti-deviation assembly is arranged above the U-shaped supporting frame, a second supporting assembly is arranged at the bottom of the U-shaped supporting frame, and a connecting support is arranged on the back of the U-shaped supporting frame; the anchor chain ring deburring device has the advantages of being high in machining efficiency, good in machining effect, capable of effectively fixing an anchor chain ring to avoid offset and distortion, thorough in deburring and free of damage to an anchor chain ring body.

The invention discloses a cable laying guider in a bridge, and relates to the technical field of guiders. According to the cable laying guider in the bridge, the guider assembly can be conveniently installed and fixed in the bridge body and can be adjusted or matched according to the size of the bridge body, meanwhile, blowing cleaning can be conducted on the inner side wall of the bridge body, the installation effect is guaranteed, the applicability is higher, and use is more convenient; when the cable is laid, the cable can sequentially pass through the plurality of guider assemblies, and meanwhile, the cable is guided and limited, so that the use is more convenient and faster, the cable can be prevented from being bent or twisted, the friction between the cable and the bridge body is reduced, the risk of cable damage is reduced, and after the laying is completed, the cable is prevented from being damaged. The telescopic cover can achieve a secondary protection effect on the cable, avoids the influence of dust, water stain, collision, scratch and the like, guarantees the laying quality, can enable the cable laying process to be smoother, reduces the shutdown time caused by clamping stagnation or distortion of the cable, and improves the working efficiency.

The invention relates to the technical field of deodorization detection devices, in particular to deodorization function detection equipment for an intelligent pedestal pan. The problem that an existing detection device only detects the odor content in gas exhausted after the gas is treated by the intelligent pedestal pan and is not representative is solved. Comprising a sealed house; the plurality of electric telescopic frames are transversely arranged at the top plate in the sealed room at intervals, and a plurality of mounting plates which are longitudinally distributed at intervals are mounted on the electric telescopic frames; and the plurality of collection cylinders are respectively and fixedly connected to the adjacent mounting plates at intervals in the transverse direction, and a plurality of through holes which are distributed at intervals in the circumferential direction are formed in the collection cylinders. According to the device, the effect of sampling gas in multiple different positions in the sealed room at the same time is achieved, the sampling result is more representative, meanwhile, when sampling is not carried out, an electric telescopic frame is used for moving a mounting plate and a collecting cylinder to corner positions, and the situation that due to the fact that the space structure in the sealed room is complex, odor cannot be freely diffused is avoided.

The utility model relates to a light-weight aluminum support with a water tank for a fixed intermediate transmission shaft assembly of a four-wheel drive vehicle, and belongs to the technical field of automobile transmission shafts. Comprising a middle transmission shaft assembly, a middle supporting metal plate support, an aluminum support and a water tank structure, the middle transmission shaft assembly is connected with the middle supporting metal plate support, the water tank structure is arranged at the bottom of the aluminum support, the middle supporting metal plate support is installed above the water tank structure of the aluminum support, and a plurality of through holes are formed in the water tank structure. The intermediate transmission shaft assembly structure is used for filtering sand and soil generated in the running process of a vehicle, so that deformation of the device caused by silt blockage and accumulation is avoided, and the service life of the intermediate transmission shaft assembly structure is prolonged.