30results about How to "Guaranteed detection stability" patented technology

The utility model discloses foam thickness automatic detection equipment, which relates to the technical field of foam detection and comprises a detection table, an operation area is fixedly connected to one side of the detection table, a plurality of vertical rods are fixedly connected to the bottom of the detection table, a bottom plate is fixedly connected to the bottoms of the vertical rods, and electric control equipment is fixedly connected to the top of the bottom plate. A vacuum adsorption mechanism is arranged at the top of the detection table, movable frames are arranged at the two ends of the outer wall of the top of the detection table, limiting buffer mechanisms are arranged on the outer walls of the movable frames, distance adjusting mechanisms are arranged between the movable frames and the detection table, an equipment frame is arranged on the outer wall of the detection table, and a detection mechanism is arranged on the outer wall of the equipment frame. The foam on the top of the detection table can be subjected to vacuum adsorption treatment by arranging the vacuum adsorption mechanism, the detection stability is ensured, the foam can be buffered, stably contacted and limited by arranging the limiting buffer mechanism, and the detection stability is ensured; and by arranging the distance adjusting mechanism, the two ends of the foams with different sizes can be clamped, limited and fixed.

The utility model relates to the technical field of detection devices, and provides a strip thickness measuring device which comprises an operation table, a moving block and a C-shaped frame, a driving assembly is arranged on the operation table, the driving assembly drives the moving block to reciprocate on the operation table, the C-shaped frame is arranged on the moving block, and the C-shaped frame is arranged on the moving block. An X-ray thickness gauge transmitting head and an X-ray thickness gauge receiving head are symmetrically installed at the upper end and the lower end of the inner side of the C-shaped frame. According to the device, the driving assembly is arranged, the C-shaped frame is driven by the driving assembly to move in a reciprocating mode, and therefore the X-ray thickness gauge transmitting head and the X-ray thickness gauge receiving head can conveniently collect the thickness data of the strip at multiple different positions in the width direction of the strip, and due to the fact that the X-ray thickness gauge transmitting head and the X-ray thickness gauge receiving head are both installed on the C-shaped frame, the thickness of the strip can be accurately measured. The X-ray thickness gauge transmitting head and the X-ray thickness gauge receiving head operate synchronously in the operation process of the C-shaped frame, so that the detection precision and stability of the thickness of the strip are ensured.

The invention discloses a multi-feature satellite navigation signal anti-deception jamming detection method based on an auto-encoder, and belongs to the technical field of satellite navigation and signal processing. According to the method, Z-score standardization processing is carried out on a received satellite navigation signal by extracting four key characteristic values including a carrier-to-noise ratio, an in-phase component, an orthogonal component and Doppler frequency shift, and dimensional difference is eliminated; and training and predicting a normal signal mode in the auto-encoder model, and comparing a reconstruction error with a set threshold value to judge whether the signal is abnormal or not. The method does not need extra hardware support, is suitable for resource-constrained equipment, has efficient and accurate detection capability in scenes of unmanned aerial vehicle navigation, vehicle navigation, military communication and the like, has the advantages of high flexibility, low cost and wide applicability, and particularly has remarkable advantages in the aspect of detecting complex deception signals.

The invention relates to the technical field of steel pipe detection, in particular to an anti-corrosion performance detection device and method for an anti-corrosion layer of a reinforced ring steel pipe, and the device comprises a bottom frame and a top frame fixedly connected to the top of the bottom frame, and a locking mechanism used for locking the reinforced ring steel pipe is arranged in the bottom frame. And a prying and pulling mechanism for prying and pulling an anti-corrosion layer on the surface of the reinforced ring steel pipe is arranged in the center in the top frame. According to the locking mechanism, the reinforced ring of the reinforced ring steel pipe is used for stably locking the reinforced ring steel pipe, so that the detection stability of the reinforced ring steel pipe is effectively ensured; the prying and pulling mechanism is adopted to automatically complete the coherent operation of prying and pulling the reinforced ring steel pipe anticorrosive coating, and meanwhile, the prying knife and the pressing knife are combined for composite work, so that the prying knife can elastically pry the anticorrosive coating, the tight closing stability of the prying knife and the pressing knife can be ensured, and the prying and pulling force is effectively ensured.

The invention relates to the technical field of image data processing, and discloses an image data processing method in food surface tiny flaw detection, which comprises the following steps: acquiring an original gray level image as a reference mask matrix; performing morphological corrosion on the matrix by using the structural elements to generate a basic mark matrix; calculating a gradient amplitude matrix of the reference mask matrix; performing weighted superposition on the gradient amplitude to the basic mark matrix to execute gray gain compensation, and generating a self-adaptive mark matrix; by taking the reference mask matrix as a limit and the self-adaptive mark matrix as a seed, executing limited morphological reconstruction to generate a background fitting matrix; according to the method, the problem of frequency domain aliasing of natural textures and tiny flaws is effectively solved through a gain compensation mechanism based on gradient amplitudes, and precise detection of the tiny flaws is achieved while complex texture backgrounds are inhibited.

A spraying device for penetrant testing of rods includes a housing, a placement rack inside the housing, a storage slot on the placement rack, rubber wheels inside the storage slot, a cover plate on the storage slot, an electric push rod on the placement rack, a transverse frame on the housing, a moving slot on the transverse frame, a support frame inside the moving slot, a limit slot on the support frame, a spray can on the limit slot, and a drain port on the housing. The device uses rubber wheels to drive the rotation of the rods and the two-dimensional movement of the spray can, replacing manual rotation of the rods, reducing manual intervention and labor intensity, and is suitable for batch testing. The uniform rotation of the rods and the lateral and longitudinal movement of the spray can ensure that every part of the surface is covered with penetrant, avoiding the omissions of traditional manual spraying and improving the accuracy of the test results. The electric push rod can adjust the position of the placement rack to accommodate rods of different sizes.

A kind of identification calibration method and system suitable for medium voltage distribution network fault travelling wave, for the problems that existing technology is difficult to adapt to complex and varied wave front shape, calibration precision and robustness is insufficient, the present application first adopts medium voltage distribution network travelling wave signal and pre-processes, constructs five types of wave front shape vectors;Then design multi-dimensional classification criterion to divide wave front into five categories, realize online calibration of classification threshold value through threshold value dynamic updating mechanism;Finally, for different types of wave front, corresponding adaptive calibration method is used to complete accurate calibration.The present application can effectively solve the problems of wave front calibration lag, reflection wave misselection, strong noise interference and other problems, adapt to complex working conditions of medium voltage distribution network, and have excellent engineering landing performance.

The invention discloses a lightweight point cloud defect identification method and system for portable sensing equipment. Comprising the following steps: acquiring an original point cloud containing a scanning motion time sequence attribute, and constructing a space-time mixed neighborhood; the neighborhood features are input into a double-flow decoupling neural network, the network extracts geometric and motion features in parallel, and attention weights are generated by using the motion features to suppress motion artifacts in the geometric features; and performing density adaptive enhancement on the features after artifact suppression, and inputting the features into a classifier to identify defects. The method can effectively distinguish motion artifacts and real defects, reduces the false alarm rate, does not need high-computing-power reconstruction, can be deployed in portable equipment for real-time identification, can adapt to non-uniform sparse data, and improves the accuracy and stability of defect identification.

This invention discloses a method and system for detecting short circuits or open circuits in silicon or glass wafer-based solar panels based on multimodal sensing collaboration, belonging to the field of photovoltaic testing technology. The system includes a testing platform structure, a pattern generator, a probe structure, a probe platform structure, a detection module, a platform structure, and a data processing module. The detection module can utilize a capacitance sensor, a magnetic field sensor (parallel / vertical magnetic field components), an IR camera, a UV / visible light camera, or a resistance measurement unit. By applying AC / DC / mixed signals to the electrodes, it acquires voltage distribution, magnetic field components, heat generation, or optical images. The data processing module analyzes and locates the short circuit or open circuit location. This invention integrates multiple detection modes, achieving a positioning accuracy of ±5µm, supporting multi-source data fusion, adapting to the detection of silicon / glass wafer-based solar panels of different sizes, and significantly improving detection efficiency and accuracy to meet the needs of industrial production lines.

This application relates to the field of power equipment testing technology, and in particular to a method and apparatus for detecting the amount of dissolved gas degassing in oil. The method includes: acquiring oil sample information and operating condition information of the corresponding expandable gas collector; determining the pressure change data of the expandable gas collector based on the oil sample information and operating condition information; and calculating the total amount of dissolved gas degassing in the oil sample based on the pressure change data and a preset mapping relationship. This solves the problems of gas chromatography, which is cumbersome to operate, requires highly skilled personnel, has high instrument and consumable costs, and is time-consuming, making real-time monitoring impossible; and vacuum degassing, which requires strict vacuum levels, has high equipment purchase and maintenance costs, poor degassing effect stability, difficulty in guaranteeing detection accuracy, and is prone to oil sample contamination and complex operation.

The invention provides a hair extracting solution for drug detection and a preparation method thereof, and belongs to the technical field of extracting solutions for drug hair detection, and the extracting solution comprises the following components: trihydroxymethyl aminomethane, boric acid, hydrogen peroxide, lauryl sodium sulfate and sodium chloride. The preparation method comprises the following steps: preparation work, preparation of a basic solution, addition of active components, addition of methanol, constant volume and mixing, inspection and storage. The method has the characteristics of efficient detection, low cost production, easy operation, good stability and the like.

The invention discloses a nano detection material for detecting heavy metal ions in industrial sewage and a preparation method of the nano detection material, and belongs to the technical field of detection materials. Gold nanoparticles are subjected to functional surface modification, modified cellulose modified by imidazole groups is introduced to the surfaces of the gold nanoparticles, disulfide bonds are introduced to the modified cellulose, and the nano detection material is prepared. Therefore, the gold nanoparticles are stabilized through the affinity of the sulfur element and gold, the stability of the gold nanoparticles in different environments is improved, and the detection stability and sensitivity in different environments are ensured.

The invention discloses an indoor personnel video behavior process identification system based on target detection and an MS-TCN + + algorithm, accurate detection and identification of a personnel behavior process in an indoor free scene are realized through cooperative processing of target detection, behavior triggering and time sequence identification, and the system utilizes adaptive switching of high and low frame intervals to realize accurate identification of the personnel behavior process in an indoor free scene. Details when behaviors occur are fully captured, and the calculation amount in a non-behavior period is remarkably reduced, so that automatic segmentation and positioning of behavior segments in a real-time video stream are realized; through key limb detection and cross-frame integration based on YOLOv7, continuity and detection stability of target tracking are guaranteed, and detection errors caused by shielding, posture changes and multi-person interaction are effectively coped with; and in combination with multi-scale time sequence modeling and inter-frame consistency constraint of the MS-TCN + + model, the system can extract behavior laws in long time sequence data and suppress the influence of noise frames, so that the recognition accuracy and robustness are improved while the real-time performance is ensured.

The utility model discloses a kind of mould processing surface quality detection devices, belong to mould detection technical field.It is equipped with detection table, the side surface of detection table is equipped with vertical rod, vertical rod is supported with drive table, the bottom surface of drive table has cavity, first driving part and second driving part are equipped in cavity, the bottom surface of drive table is equipped with protective box, first driving part drives protective box transverse movement, second driving part drives protective box longitudinal movement, the bottom surface of protective box is equipped with mounting groove, detection probe is embedded in mounting groove, the top surface of detection table has cavity, the inside of cavity is slidably equipped with placing plate, the inside of detection table is equipped with third driving part, third driving part drives placing plate vertical movement;The technical scheme of the present application can change the position of detection probe in horizontal plane and the height of the mold to be detected by the cooperation of the first driving part, the second driving part and the third driving part, so as to obtain clear and comprehensive image information of the mold to be detected, and further ensure the accuracy of the mold detection result.

The application provides an aluminum heat preservation nail bonding strength detection device. The detection device comprises a mounting base, a heat preservation nail, a heat preservation nail clamping assembly and a detection assembly. The mounting base is fixedly connected with a detection base at the top. The heat preservation nail is bonded to the detection base. A resistance increasing assembly is arranged on the heat preservation nail. The resistance increasing assembly comprises a resistance increasing ring, a clamping ring and a sleeve ring. The clamping assembly comprises a sliding frame and two clamping frames slidingly connected to the outer side of the heat preservation nail. The top of each clamping frame is fixedly connected with a first sliding block. The two clamping frames are slidingly connected to the sliding frame through the first sliding blocks at the top. The detection assembly is located at the top of the sliding frame and provides upward pulling force for the sliding frame and the clamping frame. The heat preservation nail is pasted on the detection base, and then a detachable leverage point is arranged on the outer side of the heat preservation nail, so that the clamping ring is conveniently pulled, and the pulling force is conveniently detected, thereby reducing the detection difficulty and increasing the detection convenience.

The invention discloses a leukocyte classification reagent based on AIE fluorescent dye as well as a preparation method and application of the leukocyte classification reagent. The leukocyte classification reagent comprises the following components: AIE fluorescent dye, a surfactant, aromatic organic acid and water, wherein the surface active agent comprises a non-ionic surface active agent and a cationic surface active agent in a mass ratio of (0.5-5): 1, or the non-ionic surface active agent and the anionic surface active agent in a mass ratio of (0.5-20): 1. The leukocyte classification reagent has both a red blood cell lysis function and a leukocyte fluorescent staining function, has good storage stability, can realize pretreatment of a blood sample only by adopting a single reagent, greatly simplifies a blood sample pretreatment operation process of leukocyte classification and counting analysis, effectively reduces test errors, and improves the detection accuracy. And the reliability of detection results is improved.

The invention discloses an urban building house safety detection device, and relates to the technical field of wall defect detection. Comprising a movable traction part, an adsorption control piece is mounted on the movable traction part, and a bump detection piece is mounted on the movable traction part; the bump detection piece is used for detecting building bump defects; an empty drum confirming piece is mounted on the inner side of the movable traction part; the hollowing confirmation piece is used for confirming the bulge of the outer wall of the building; the hollowing confirmation piece is adopted, so that unnecessary wall skin damage caused by erroneous judgment and eradication of a normal bulge can be avoided while missing detection at the bulge can be prevented; the problems that according to an existing urban building house safety detection device, laser pre-judgment detection work cannot be conveniently achieved, workers cannot conveniently and efficiently know the wall surface bulge condition, the detection efficiency is low, and missing detection is likely to happen are solved.

The utility model relates to the technical field of energy storage, in particular to an immersed energy storage device. The immersed energy storage device comprises a battery cabin and a low-pressure cabin which are mutually independent, a BMS is contained in the low-pressure cabin, the battery cabin comprises a battery cabin body and a supporting structure, the battery cabin body is provided with a containing cavity for containing immersion liquid, a battery module is contained in the containing cavity, the supporting structure is detachably fixed to the cavity wall of the containing cavity, and the battery module is arranged in the containing cavity. The supporting structure is provided with a wiring cavity extending in the preset direction, the wiring cavity is isolated from the containing cavity, one end of the low-voltage wire harness is connected with the battery module, the other end of the low-voltage wire harness extends into the wiring cavity for wiring and is connected with the BMS in the low-pressure cabin, information collection of the BMS on the battery module is achieved, loosening of the low-voltage wire harness and the battery module can be prevented, and the service life of the battery module is prolonged. And the protection on the low-voltage wire harness can be improved. In addition, the BMS is convenient to replace.

The utility model relates to road detection technical field discloses an adjustable road cavity detection device, including in the mobile car body, the car body both sides are equipped with folding assembly together, the car body lower extreme fixedly connected with the bottom ground penetrating radar, the folding assembly lower extreme is equipped with two side ground penetrating radar, one side of car body is equipped with the limiting component for supporting folding assembly. The utility model through the folding assembly and the limiting component's synergies, has realized the flexible adjustment of device detection width, when the road is wider, the folding assembly can unfold side ground penetrating radar, and the bottom ground penetrating radar works in coordination to increase the scanning area to reduce the detection reciprocating frequency, improve the efficiency and reduce the workload, and the limiting component automatic extension support rod is stable to the unfolded part and supports, ensures the detection stability, and when the side ground penetrating radar folding is stored, the support rod contracts, keeps the compactness of device, and the device moves and stores conveniently.

The utility model relates to a kind of power plant condensate regeneration resin conveying automatic identification device, and four sides of the fixed module setting is set on conveying pipeline, comprising: light source, resin conveying window, receiving device and acquisition module;Light source is set at the side of resin conveying window, for sending the transmission light of specific wavelength to resin conveying window;Receiving device is set at the other side of resin conveying window opposite with the side of light source setting, for receiving the optical signal formed after transmission light and resin interact after passing through resin conveying window, and optical signal is converted into electric signal after processing to optical signal;Acquisition module includes analog-digital conversion unit and signal transmission unit, and analog-digital conversion unit is used to collect current signal and is converted into digital signal;Signal transmission unit is used to transmit digital signal to digital signal analysis circuit;Four fixed modules are set around resin conveying window and install equidistantly with the four sides of resin conveying window. Corresponding system is also disclosed.

The invention discloses an identification and calibration method and system suitable for medium-voltage power distribution network fault traveling waves, and aims to solve the problems that in the prior art, complex and diversified traveling wave head forms are difficult to adapt, and calibration precision and robustness are insufficient, medium-voltage power distribution network traveling wave signals are firstly collected and preprocessed, and five types of wave head form vectors are constructed; designing a multi-dimensional classification criterion to divide wave heads into five classes, and realizing classification threshold online calibration through a threshold dynamic updating mechanism; and finally, aiming at different types of wave heads, adopting corresponding self-adaptive calibration methods to complete accurate calibration. The method can effectively solve the problems of wave head calibration lag, reflected wave mistaken selection, strong noise interference and the like, adapts to the complex working condition of the medium-voltage power distribution network, and has excellent engineering landing performance.

This invention discloses an automatic detection and sorting process for ball track dimensional defects within a ball cage shell, relating to the field of ball track dimensional defect detection. The process includes: acquiring an original contour point cloud dataset; obtaining a robust ball track contour dataset using random sampling circular arc fitting; establishing a spatial radial dimension compensation model to obtain the radial dimension correction value at the bottom of the ball track and the corrected ball track contour coordinates; obtaining the compensation value for the ball track arc radius based on a least-squares circle fitting algorithm; calculating the angular deviation and straightness error of each ball track to generate a multi-dimensional dimensional defect feature vector; and sorting the workpieces into qualified, reworkable, or scrap bins using a pneumatic sorting mechanism based on the comparison results. The advantages of this invention are: by combining anomaly point suppression and clamping posture calibration compensation, the influence of surface interference and clamping errors on measurement accuracy is eliminated, achieving high-precision automatic detection and reliable grading and sorting of ball track dimensions within the ball cage shell.

The utility model discloses a portable electrical equipment detection device, which relates to the field of electrical detection, and comprises a detection device body, the detection device body comprises a shell, a display screen, a detection circuit and an operation button arranged on the shell, the detection circuit is used for detecting various parameters of electrical equipment, the display screen is used for displaying detection results in real time, and the operation button is arranged on the shell. The device further comprises two holding pieces, an angle positioning assembly and a reset elastic unit, the two holding pieces are symmetrically arranged on the back face of the shell, rotating shafts are fixedly installed at the upper ends and the lower ends of the holding pieces, and the angle positioning assembly is arranged at the end of one rotating shaft. According to the portable electrical equipment detection device, the symmetrically-arranged holding pieces are matched with the rotating shaft, the clamping grooves and the angle positioning assembly, multi-angle adjustment is achieved, multiple holding postures such as palm holding, first web hooking or hand back insertion are supported, hand pressure is effectively dispersed, rigid locking is formed after the clamping parts are meshed with the circumferential clamping grooves of the cylindrical positioning pieces, and the clamping parts are clamped in the clamping grooves of the cylindrical positioning pieces. Accidental rotation during operation is avoided, and the detection stability is ensured.

The utility model discloses a vibration clamp of a chip signal detector, which is characterized in that the vibration clamp comprises a base and an adapter ring, the left side of the adapter ring is connected with the right side of the base, and a detector mounting hole is coaxially formed in the center of the adapter ring; a through hole is formed in the middle of the base, and the adapter ring and the through hole are coaxially arranged; three screw holes are formed in the right side of the base; the three screw holes are annularly and uniformly distributed outside the through hole; three arc-shaped grooves are formed in the right side surface of the adapter ring, the left side surfaces of the arc-shaped grooves are communicated with the left side surface of the adapter ring, the three arc-shaped grooves are annularly and uniformly distributed outside the detector mounting hole, and each screw hole directly faces one arc-shaped groove; a bolt is inserted into each arc-shaped groove, the left side of each bolt is connected with one screw hole in a screwed mode, and the adapter ring is locked and limited to the base through the bolts. According to the utility model, the convenience of product installation and adjustment is improved.

An embodiment of the present invention provides a detection mechanism, which relates to the field of surface mounting technology. The detection mechanism includes a replacement mechanism, a needle lowering mechanism and a measuring needle. The measuring needle is used to measure the electronic components on the material strip. The replacement mechanism includes a mounting structure and a positioning structure, the measuring needle is installed on one side of the mounting structure, the positioning structure is arranged on the other side of the mounting structure, and the positioning structure is detachably connected to the needle lowering mechanism. The detection mechanism provided by the present invention can automatically measure the electronic components on the material strip, ensure the accuracy and stability of the detection of the electronic components, and also can achieve the purpose of easy replacement of the detection mechanism through the detachable connection between the replacement mechanism and the needle lowering mechanism.

The utility model provides a rapid detection device for a special-shaped support, which belongs to the technical field of support workpiece detection and comprises a base fixedly connected with a detection support; the stable installation assembly comprises two installation cylinders fixedly connected to the detection support, two clamping guide rods are slidably connected to the side walls of the two installation cylinders in a penetrating mode, clamping gaskets are fixedly connected to the ends, close to the detection support, of the clamping guide rods, and elastic clamping parts are arranged in the installation cylinders; and the detection adjusting assembly comprises a plurality of supporting shafts which are fixedly connected to the base. The special-shaped support can be fully clamped and fixed through the clamping guide rod, the detection stability of the special-shaped support is guaranteed, rapid multi-azimuth camera shooting can be carried out on the special-shaped support, and the camera shooting detection speed of the special-shaped support is improved.

This application provides a testing device for an ultrasonic transducer. The testing device includes a base, a cylinder, multiple testing modules, and a pressure assembly. The cylinder is mounted on the base. Multiple testing channels are connected to the same inner cavity. The first end of the ultrasonic transducer under test is connected to the inner cavity. Multiple testing modules are all connected to the same cylinder and connected to the testing channels. The output end of a cylinder is connected to the pressure assembly, which drives the pressure assembly to press against the second end of the ultrasonic transducer under test, thereby pressurizing the ultrasonic transducer under test. A pressure inlet valve inputs nitrogen under the action of an external nitrogen source. The nitrogen flows in the inner cavity and acts on the ultrasonic transducer under test, so that the ultrasonic transducer under test can be tested under dynamic pressure. It makes full use of the detection of temperature transmitters and pressure transmitters, and can perform multiple tests at different pressures without the need for multiple disassembly and assembly, thus improving the versatility and convenience of the ultrasonic transducer testing device.

The invention relates to the technical field of artificial intelligence and machine learning, and discloses an open environment-oriented new class adaptive adjustment method, which comprises the following steps: 1) when a new sample arrives, calculating an energy score and a consistency score; 2) utilizing the score quantile of a recent sample, and updating an energy and consistency threshold value through index moving average, so that the threshold value drifts adaptively along with the change of data distribution; 3) according to comparison between the sample scores and a threshold value, dividing the sample scores into a strong new class, a weak new class or a known class; 4) performing weighted accumulation on the new class evidence in the window according to time decay, when an accumulated value exceeds a preset threshold, formally judging that a new class appears, and immediately expanding the dimension of an output layer and randomly initializing a newly added weight so as to support the output of the new class; (5) an online updating stage: adopting a relatively low fixed learning rate for a known class, adopting an attenuation learning rate from high to low for a new class, and considering both old knowledge stability and new knowledge rapid absorption; according to the method, the continuous learning and generalization ability in the open environment is remarkably improved.

The application provides a kind of intelligent production line operation rate monitoring system in thin-film solar cell production, which solves the problem of poor glass yield statistics effect, etc., comprising a discharge table body, a transmission assembly is arranged on the discharge table body, a contact detection assembly is arranged between the transmission assembly and the discharge table body, an optical detection assembly opposite to the transmission assembly is installed above the discharge table body, a distribution assembly is arranged at the outlet of the discharge table body, and monitoring assemblies are respectively arranged at the inlet and outlet of the discharge table body. The application has the advantages of stable operation, good detection effect, etc.

The application discloses a kind of gas sensors based on the principle of proton exchange membrane fuel cell of asymmetric MEA structure, including asymmetric membrane electrode assembly, asymmetric membrane electrode assembly includes proton exchange membrane, anode catalytic layer and cathode catalytic layer being compounded in one side of proton exchange membrane and the other side of proton exchange membrane;Anode catalytic layer side away from proton exchange membrane and cathode catalytic layer side away from proton exchange membrane are covered with gas diffusion layer.The gas sensor is unified with porous nano gold as the basis to build anode and cathode differentiation catalytic system, solve the problem of low concentration detection sensitivity of traditional symmetric MEA structure, detection limit is high, while overcoming the defects of existing asymmetric MEA structure baseline current imbalance, large zero drift, high interface impedance, poor stability and complex preparation process, so that sensor has high detection sensitivity, high selectivity, excellent long-term stability and low baseline fluctuation, meet the high-precision, high-reliable detection needs of carbon monoxide and other gases.