50results about How to "Reduce detection impact" patented technology

The invention provides a deep learning fusion feature-based workpiece edge detection method. The method comprises the steps of obtaining a to-be-detected workpiece image; performing noise reduction processing on the to-be-detected workpiece image to obtain a noise-reduced image and a noise probability; inputting the noise reduction image and the noise probability into an edge enhancement model based on deep learning for identification, and obtaining an identified enhanced edge image and an edge probability; performing feature fusion on the noise probability and the edge probability by adopting a feature fusion algorithm based on machine learning, and converting a two-dimensional vector into a one-dimensional residual feature to form a residual vector; and inputting the enhanced edge image and the residual vector into an edge enhancement model based on deep learning for identification, carrying out clustering processing on the identified image, and outputting a target edge detection result and non-target features. The method can reduce the influence of irrelevant noise on target edge detection, and achieves the accurate recognition of the target edge.

The invention discloses an optical detection type cloth defect detection device and method based on polyester-viscose gray fabric processing, and relates to the technical field of optical detection.The optical detection type cloth defect detection device comprises a frame body and an unwinding roller rotationally installed on the frame body and further comprises cloth; a material conveying assembly is installed on the frame body and used for conveying cloth, and a tension control assembly is installed on the frame body. The cloth flaw detection device has the advantages that before flaws on cloth are detected, the cloth is flattened, the influence of wrinkles on detection is reduced, meanwhile, impurities adhered to the cloth are cleaned, so that the detection accuracy is improved, the flaws and flaws on the cloth are amplified by increasing the tension of the cloth during detection, optical detection is facilitated, and the detection efficiency is improved. The minimum limit of optical detection is expanded, the winding loosening speed is automatically adjusted according to the expanded tension during winding, winding can be carried out smoothly, and the situation of winding wrinkles caused by winding springback is prevented.

The invention relates to a wafer defect detection method and device, computer equipment and a medium. The method comprises the following steps: acquiring an image of a wafer to be detected; generating a difference image according to each pixel in the to-be-detected wafer image and the gray value of the corresponding neighborhood position; performing gray binarization processing on the difference image according to a preset threshold image to generate a contour binary image; the threshold value graph is obtained by processing according to a minimum value graph after the minimum value graph is generated according to each pixel in the set template graph and a gray value of a corresponding neighborhood position; extracting boundary contour points according to the contour binary image to obtain a defect contour point set; performing defect detection on the defect contour point set according to a preset minimum value directional diagram; the minimum value directional diagram is obtained by processing according to the minimum value diagram. And compared with defect point judgment by using a single threshold, the influence of image quality on detection can be reduced, and the detection accuracy is improved.

The invention provides a pedestrian re-identification method based on cross-time-domain data, and relates to the technical field of pedestrian identification, and the method comprises the following steps: constructing a monitoring scene; segmenting a monitoring area and a monitoring scene; intercepting a current monitoring video frame to obtain a monitoring image; intercepting an image in the monitoring scene to obtain a background image; a background area in the monitoring image is cut out, and a to-be-processed image is obtained; segmenting the to-be-processed image to obtain an edge image and a center image; capturing a human body target from the edge image to obtain a human body image; giving a unique identity code to the human body target; recognizing the human body image, and marking a recognition result, a correlation mark and an identity code; capturing facial features from the central image to obtain a facial image; acquiring a mark of the human body target; if not, giving a unique identity code to the human body target, recognizing the face image, and obtaining and marking a recognition result; and obtaining, identifying the facial image according to the mark, and obtaining and updating an identification result. And the omission ratio of pedestrians is reduced.

The invention discloses a fluorescent carbon quantum dot, a preparation method thereof and application of the fluorescent carbon quantum dot in atrazine detection, and belongs to the technical field of pesticide residue detection. The carbon quantum dots are obtained by taking citric acid and o-phenylenediamine as raw materials and a mixed solution of ethanol and water as a solvent through the steps of hydrothermal reaction, centrifugation, dialysis, nitrogen blowing, freeze drying and the like. The preparation method provided by the invention has low requirements on equipment, and is simple to operate and low in cost. The fluorescent carbon quantum dots prepared by the method have the characteristics of good fluorescence stability, good water solubility, good selectivity to atrazine, high sensitivity and the like. The detection method shows that the fluorescence enhancement degree of the fluorescent carbon quantum dots and the atrazine concentration are in a linear correlation trend, the detection limit of the detection method is as low as 20ng / L, and the detection result is rapid and accurate. Therefore, the method can be used for rapidly, accurately and sensitively detecting the atrazine in an actual sample and the like.

The invention relates to the technical field of welding detection, and discloses a method for detecting the performance of a high-strength steel fillet weld joint, a weld detection device comprises a mounting frame and two transmission threaded rods rotationally connected in the mounting frame, and the outer surfaces of the transmission threaded rods are in threaded fit with transmission blocks; according to the method for detecting the performance of the high-strength steel fillet weld joint, the plate is put into the mounting frame to be fixed and then welded, the ultrasonic weld joint detection mechanism is driven to move while welding is conducted, then the ultrasonic weld joint detection mechanism conducts grinding and weld joint detection on the welded plate, and the performance of the high-strength steel fillet weld joint is detected. Therefore, welding and welding seam detection after welding are carried out at the same time, the welding efficiency of steel is greatly improved, meanwhile, automatic detection is achieved, the welding seam detection efficiency after welding is improved, meanwhile, the welding seam and the surface of the steel are polished before detection, the influence of welding slag on detection is reduced, and the detection accuracy is improved.

The utility model discloses a scutching cloth inspecting machine which comprises two vertical plates, a top plate and a base are fixedly connected between the two vertical plates, an electric push rod fixedly connected with the top plate is inserted into the top of the top plate in a penetrating mode, a lifting block is fixedly connected to the bottom end of the electric push rod, and two movable plates are slidably connected to the bottom of the lifting block. And a driving mechanism is installed at the top of the lifting block, the tops of the two moving plates are connected with the driving mechanism, sliding rods slidably connected with the two moving plates are inserted into the bottoms of the two moving plates in a penetrating mode, and springs are fixedly connected to the top ends of the two sliding rods. According to the cloth inspection device, cloth can be flattened and surrounding light can be shielded before the cloth is inspected, so that the influence of wrinkles of the cloth and light pollution on cloth detection can be effectively reduced, and the detection accuracy of the device is further improved.

This utility model relates to the technical field of lens testing, and in particular to a shockproof lens testing platform. By using this device, four sets of telescopic tubes, four sets of telescopic rods, and four sets of springs work together to provide additional elastic buffering for the testing platform, reducing the impact of external vibrations on the testing and facilitating the fixation of the testing instrument, thereby improving its stability. The platform includes a testing platform, four sets of telescopic tubes, four sets of telescopic rods, four sets of springs, four sets of connecting plates, four sets of height adjustment devices, and a positioning device. The four sets of telescopic tubes are respectively installed on the left front, left rear, right front, and right rear sides of the bottom of the testing platform. The four sets of telescopic rods are slidably engaged with the four sets of telescopic tubes. The four sets of telescopic rods are installed on the top of the four sets of connecting plates. The four sets of springs are sleeved on the outside of the four sets of telescopic tubes and four sets of telescopic rods. The four sets of height adjustment devices are respectively installed at the bottom of the four sets of connecting plates. The positioning device is installed at the top of the testing platform.

The invention relates to the technical field of coherent optical communication, and discloses a channel noise compensation method based on a photon number distinguishable detector. The method comprises the following steps: a sending end generates a signal light pulse with a known coding format and an unknown coding state; a receiving end face is used for preparing local oscillation light pulses with the same coding format and different coding states for signal light pulses which are transmitted and attenuated through a long-distance noisy channel and are partitioned at different time; displacement operation is carried out on the signal light pulses in the same coding state in different time partitions for multiple times in an interference mode; detecting the interfered light pulse by using a photon number distinguishable detector to obtain a photon number distribution result of the interference light pulse; and by matching the photon number distribution result of each time with the coding state of the correspondingly prepared local oscillation light, the coding state preparation of the next local oscillation light is guided in combination with deep learning. By adopting the method, the detection bit error rate of the coherent optical communication system on signal light with weak intensity and unknown coding state after transmission in a long-distance noisy channel is reduced.

The invention discloses a gas insulation equipment acoustic signal feature extraction method, which comprises the following steps: carrying out noise reduction processing on a collected sound signal, and carrying out normalization processing on a mean value and a variance of the signal; performing time-frequency decomposition on the preprocessed sound signal by adopting short-time Fourier transform STFT and wavelet transform WT; comprehensively extracting the features of the sound signals by integrating the MFCC, the AWPC adaptive wavelet packet coefficient and the instantaneous frequency feature IF; carrying out feature fusion on the extracted voiceprint features, splicing MFCC, AWPC and IF features to form a high-dimensional feature vector, and carrying out dimensionality reduction by using a principal component analysis (PCA); and performing standardization processing on the dimensionality-reduced features, and further screening the features by using a correlation analysis method. Effective voiceprint features can be extracted from the sound signals generated by the defects of the gas insulation equipment, and the influence of noise on detection is reduced, so that the detection accuracy is improved.

The invention is suitable for the technical field of photovoltaic panel detection, and provides a photovoltaic panel crack detection device, which comprises a rack, and also comprises a conveying module, the conveying module comprises rotating rods and a driving unit, each rotating rod is provided with two positioning columns, and each positioning column comprises a lap joint column and a limiting column; the adjusting module comprises a mounting frame, a transverse moving rod is arranged below the mounting frame, the transverse moving rod is connected with a connecting plate through a connecting rod, and the limiting columns on the same side are rotationally mounted on the same connecting plate; and the detection module comprises a mounting plate, an industrial camera is mounted at the bottom of the mounting plate, two lifting connecting rods are symmetrically arranged at the top of the mounting plate, the ends, away from the mounting plate, of the lifting connecting rods are hinged to an adjusting plate, and the adjusting plate is connected with the transverse moving rod. The device can be suitable for crack detection of photovoltaic panels of various sizes, the application range is wide, the number of invalid pictures in the obtained detection images is small, and the detection precision is high.

The flow detection device comprises a shell, an airflow channel is arranged in the shell, and an air resistance structure is arranged in the airflow channel so that the airflow channel can be divided into an air inlet section located on one side of the air resistance structure and an air outlet section located on the other side of the air resistance structure. The air resistance structure is at least provided with a ventilation grid part in the middle area of the airflow channel, the shell is provided with a detection opening corresponding to the air inlet section and provided with a detection pipe extending into the air outlet section corresponding to the air outlet section, and the tail end of the detection pipe extends to the ventilation grid part to detect airflow passing through the ventilation grid part. The ventilation grating part is separated to form a plurality of airflow passing ports arranged in an array mode, airflow can be divided into a plurality of strands to pass through when passing through, the stability of the flow state of the airflow can be guaranteed, and the airflow can pass through the detection pipe in the air outlet section in a laminar flow state. The detection pipe can cross a viscous area close to the channel wall to directly detect the airflow in the central area of the airflow channel.

The present invention relates to the field of data processing technology, and specifically to a real-time monitoring method for ecological environment data based on big data processing. Determine the abnormal index and abnormal curve segment of the index data of the sensor at the current location in different time periods; determine the correlation between the index data of the sensor at the current monitoring location in this time period and the index data of other sensors in the corresponding time period of this time period; determine the atmospheric pollution index at the current monitoring location at this moment; dynamically control the atmospheric pollution index through multiple types of single sensors at a certain monitoring location at a certain moment and sensors adjacent to them and the direction of pollution diffusion; output warning information. This method can analyze the contribution of the index data of multiple sensors at different monitoring locations in the area to be tested to the atmospheric pollution situation, and dynamically adjust the atmospheric pollution index at a certain monitoring location in combination with the direction of pollution diffusion, reduce the impact of environmental factors on sensor detection, and improve the accuracy of atmospheric pollution situation judgment.

The embodiment of the invention relates to the technical field of hydraulic pressure, and discloses a hydraulic system which comprises an oil tank, an oil inlet pipeline, an execution mechanism, an oil return pipeline and a detection mechanism. One end of the oil inlet pipeline communicates with the oil tank; the executing mechanism communicates with the other end of the oil inlet pipeline, and the oil inlet pipeline is used for conveying hydraulic oil to the executing mechanism to push the executing mechanism to move; one end of the oil return pipeline is communicated with the executing mechanism, and the other end of the oil return pipeline is communicated with the oil tank; the detection mechanism communicates with the oil tank and is used for detecting hydraulic oil in the oil tank. By means of the mode, hydraulic oil in the oil tank which is the same as the atmospheric pressure in pressure and relatively stable in temperature can be detected, and the influence of great changes of the pressure and the temperature on hydraulic oil detection can be reduced; and the detection reliability and effectiveness can be improved.

The utility model belongs to the technical field of magnetostriction displacement sensor precision testing, and particularly relates to an oil cylinder displacement sensor precision detection device which comprises a detection table, a magnetostriction displacement sensor assembly to be detected, a grating ruler displacement sensor assembly and a displacement linear driving assembly. The magnetostrictive displacement sensor assembly to be measured comprises a magnetostrictive displacement sensor, a displacement sensor guide rod and a magnetic ring, the magnetic ring reciprocates along the displacement sensor guide rod, and the grating ruler displacement sensor assembly comprises a grating ruler and a grating ruler displacement sensor arranged corresponding to the grating ruler. The displacement linear driving assembly comprises a displacement driving element and a displacement reciprocating sliding part, the displacement reciprocating sliding part is respectively connected with the grating ruler displacement sensor and the magnetic ring, and the displacement driving element drives the displacement reciprocating sliding part to drive the grating ruler displacement sensor and the magnetic ring to reciprocate. The automation degree is high, and the detection is accurate.

The invention discloses a method for extracting and detecting mineral oil in fermented grains or solid grains, and belongs to the technical field of food detection. In order to realize complete extraction and detection of mineral oil in fermented grains and solid grains, the invention provides a method for extracting and detecting mineral oil in fermented grains or solid grains, which comprises the following steps: mixing fermented grains or solid grains with n-hexane, and carrying out first extraction to obtain supernate and precipitate; mixing the precipitate with water, and performing water bath to obtain a to-be-extracted solution; mixing the to-be-extracted liquid with n-hexane, and performing secondary extraction to obtain supernate; combining the supernate to obtain an extract containing mineral oil; and injecting into a two-dimensional gas chromatography hydrogen flame ionization detector for detection. According to the method, a mode of combining surface extraction and water bath extraction is adopted, comprehensive enrichment of the mineral oil is realized, and meanwhile, a two-dimensional gas chromatography flame ionization detector is adopted, so that saturated hydrocarbon and aromatic hydrocarbon of the mineral oil can be more accurately detected in a short time.

This application discloses an electrode cutting system. The electrode cutting system provided by this application includes a conveying mechanism, a laser cutting mechanism, and a temporary storage mechanism. The conveying mechanism transports the electrode to the cutting position along the conveying direction; the laser cutting mechanism cuts the electrode at the cutting position to form a test sample; the temporary storage mechanism is located downstream of the cutting position in the gravity direction and is used to receive the test sample. The conveying direction and the gravity direction intersect. Thus, by conveying the electrode to the cutting position through the conveying mechanism, the laser cutting mechanism can cut the electrode at the cutting position to form the test sample, thereby achieving automated electrode cutting and improving the consistency of the test sample. Receiving the test sample through the temporary storage mechanism facilitates subsequent operations such as testing, improving production efficiency. Simultaneously, the temporary storage mechanism's location downstream of the cutting position in the gravity direction allows for full utilization of gravity to collect the test sample, simplifying the product structure and reducing product manufacturing costs.

The utility model relates to a ship safety early warning device, and relates to the technical field of ship early warning equipment, the ship safety early warning device comprises a radar and a mounting seat, the radar is rotatably arranged on the mounting seat, a rotating ring pipe and a water spraying pipe are arranged on the mounting seat, the two ends of the water spraying pipe are connected with the rotating ring pipe, and a rotating driving part connected with the rotating ring pipe is arranged on the mounting seat; the rotary driving part can drive the water spraying pipe to rotate circularly, the radar is located between a rotation face formed by the rotation track of the water spraying pipe and the mounting base, the water spraying pipe is connected with a water supply system arranged on the mounting base, and a plurality of water spraying openings facing the radar are formed in the water spraying pipe and arranged at intervals in the length direction of the water spraying pipe. The radar cleaning device has the effects that the radar is automatically cleaned, climbing operation of workers is not needed, and potential safety hazards caused by ship shaking are avoided.

This invention relates to the field of laser welding, and more particularly to a laser welding machine for bridge construction, comprising a guide rail base, mounting platforms, a rotary chuck, a side frame, a telescopic drive component one, and a laser welding gun; a pair of mounting platforms are slidably disposed on the guide rail base; a rotary chuck for clamping steel pipes is mounted on each mounting platform; a telescopic drive component one is mounted on the side frame located on the side of the guide rail base; a laser welding gun for welding steel pipes is mounted on the drive end of the telescopic drive component one; the invention also includes a telescopic drive component two, an airbag, and a detection component; a telescopic drive component two is mounted on each mounting platform; an airbag is disposed on the drive end of each telescopic drive component two; a detection component for detecting gas leakage is disposed on the side frame; this invention minimizes the space required to fill the detection gas by allowing the side plate, airbag, and protective plate to form an annular space.

The utility model relates to a support for stabilizing a detection light path, which structurally comprises a base, a detector fixing plate, a sample cell and a light source fixing plate are arranged on the base, a detection channel is arranged between the detector fixing plate and the light source fixing plate, the detection channel penetrates through the sample cell, a placing cavity is downwards formed in the top surface of the sample cell, and a light source is arranged in the placing cavity. A cuvette is arranged in the placing cavity, two positioning and pressing mechanisms which are arranged in a right-angle manner are arranged on the side wall of the sample pool, the positioning and pressing mechanisms are perpendicular to the inner wall of the sample pool, and the positioning and pressing mechanisms are used for pressing the cuvette placed in the sample pool on the inner wall of the sample pool. According to the utility model, the sealing of a light path can be ensured, the influence of external stray light on detection is reduced, the positioning and pressing mechanism can ensure that the cuvette can be kept in the same posture every time, and the groove in the side surface of the sample cell can ensure that a light-transmitting surface is not polluted when the cuvette is taken and placed, so that the stability and the accuracy of detection are ensured.

The application discloses a detection system and method with an anti-vibration and sensitivity-enhanced gas photoacoustic in-situ detection mechanism, which comprises an excitation light source and a collimating assembly, a photoacoustic cell and a signal processing unit. The laser emitted by the excitation light source and the collimating assembly is arranged along the central axis of the photoacoustic cell. A plurality of groups of microphones are arranged on the central section of the photoacoustic cell. Each group of microphones comprises two microphones symmetrically arranged on the left and right sides or the upper and lower sides of the central section of the photoacoustic cell. The signal processing unit receives the signals of each microphone, processes the signals, and the central section of the photoacoustic cell is a section perpendicular to the axial direction of the photoacoustic cell and located in the middle of the photoacoustic cell. The excitation light source and the collimating assembly emit laser, the signal processing unit collects and processes the signals of the plurality of groups of microphones, and the concentration of the dissolved gas in the oil circuit is obtained according to the corresponding matching relationship between the signal processing result of the signal processing unit and the gas concentration.

The application belongs to the technical field of monitoring devices, and particularly relates to a large-scale forging hydraulic press pull rod stress monitoring device, which comprises two hoops, the outer walls of the two hoops are both fixedly connected with two fixed blocks, the fixed blocks are fixed through bolts, the hoops are fixed on the outer sides of the pull rods, the side walls of the two hoops are both fixedly connected with connecting plates, the upper side walls of the connecting plates on the lower side are fixedly connected with elastic frames, the upper side walls of the elastic frames are pasted with resistance strain gauges, and the connecting plates on the lower side are connected with the left side walls of the elastic frames through amplification assemblies. After the monitoring device is installed on the surface of the large-scale forging hydraulic press pull rod through the hoops, the connecting strength between the hoops and the pull rods can be further strengthened, and after the hoops are deviated due to vibration, the situation can be detected in time, so that the problem that the accuracy of the monitoring device is affected due to the change of the reference can be avoided.

The invention discloses a track detection method and system based on the eddy current effect, and belongs to the technical field of track detection. Track defect detection signals and turnout state detection signals are generated by detecting the track state and the turnout state in real time; according to a set analysis rule, the track defect detection signal and the turnout state detection signal are analyzed to obtain a track state and a turnout state, a track defect emergency instruction and a turnout abnormity emergency instruction are generated according to the track state and the turnout state, and a train makes a corresponding response action according to the emergency instructions. On the basis of the eddy current effect, damage to the surface and subsurface of a rail can be detected, fatigue failures such as strain can be detected, the left-right fit degree of a turnout switch rail, a stock rail, a wing rail and a point rail can be detected, whether a point switch works normally or not is judged, whether turnout steering is completed or not is judged, and whether a train can directly pass or not is judged. Safety accidents such as derailment of the train are prevented, and the running safety of the train is improved.

The invention provides a lens smoothness detection device and method. When the smoothness of a lens is detected, the lens is placed on the workpiece rotary table part, the dust removal opening greedy nozzle head installed on a platform of the dust cover part is used for blowing and cleaning the lens, the influence of dust on detection is reduced, and the electric control sliding frame part drives the detection probe arm part to move to the position above the lens. The detection probe arm part carries out image transmission detection on the lens placed on the workpiece turntable part, whether the lens on a transmission image has appearance defects is judged to achieve the purpose of detecting the smoothness, a detector does not need to irradiate the lens through an illuminator and observe whether the lens has appearance defects with naked eyes, and the detection efficiency is high.

The application discloses a waste miscellaneous aluminum classification and rapid identification method and relates to the field of waste miscellaneous aluminum classification and rapid identification. S1, grading pretreatment: through a conveying belt, the waste miscellaneous aluminum to be sorted is conveyed into a three-layer vibrating screen machine to be graded and screened, and waste miscellaneous aluminum of different sizes is sorted out; S2, separation of impurities: the graded waste miscellaneous aluminum is conveyed into a drum-type magnetic separator respectively to remove magnetic impurities, then the waste miscellaneous aluminum after magnetic separation is conveyed into an air flow sorting machine to separate light non-metallic impurities, and then a conveying belt conveys the waste miscellaneous aluminum onto a loading platform, full-process automatic processing reduces manual dependence, and the work load of a single production line of sorting workers can be reduced; the classification cost is reduced, compared with manual sorting, the waste product rate of recycled aluminum alloy can be effectively reduced due to accurate classification, and economic benefits are significantly improved.

The utility model relates to the technical field of battery blasting test, in particular to a sealing structure and a pressure tester, the structure is used for sealing a liquid injection port of a battery, and the sealing structure comprises a contact pin and a sealing piece made of a soft material; the sealing element comprises a through hole, one end of the pin penetrates through the through hole, and the sealing element is fixedly connected with the outer wall of the pin; the sealing element comprises an abutting side, the abutting side comprises an attaching plane with a set area, the contact pin is used for driving the sealing element to penetrate through the liquid injection opening, and the attaching plane of the abutting side is attached to the inner side of the liquid injection opening so that the sealing element and the liquid injection opening can be sealed. According to the technical scheme of the utility model, the sealing structure combining the drawing needle and the sealing element can simplify the working procedure of a pressure blasting test, that is, the working procedures of cutting, grinding and polishing, chambering, pressing and the like are omitted, the influence of human factors on detection is reduced, and the detection accuracy is higher.

The invention belongs to the technical field of power equipment, and particularly relates to an oil immersed transformer nitrogen charging control device which comprises a high-pressure nitrogen cylinder and a touch screen, one end of the high-pressure nitrogen cylinder is connected with a pressure reducing valve, and the end, away from the high-pressure nitrogen cylinder, of the pressure reducing valve is provided with a first quick connector; the end, away from the pressure reducing valve, of the first quick connector is connected with a first hose. According to the automatic nitrogen charging control device of the oil immersed transformer, automatic judgment of technological parameters is achieved, the system automatically completes the nitrogen charging process, and the automatic nitrogen charging control device has the specific advantages that the automation degree is high, the nitrogen charging process is automatically carried out, and the running state is displayed through the state display lamp. Nitrogen charging pressure precision is high, and high-precision control over the pressure intensity of the top of the transformer oil tank can be achieved by setting a threshold value. The safety is good, and the process control pressure P is strictly and theoretically calculated, so that the safety of the oil tank of the transformer in an extreme state is ensured.

The invention discloses a method and a system for detecting Daqu worms, which are applied to the technical field of intelligent detection of Daqu worms, and the method comprises the following steps: obtaining a detection yeast block; killing the koji insects of the detection koji blocks until all the koji insects and eggs are killed to form insect-free koji blocks, and taking the detection koji blocks without killing the koji insects as insect-containing koji blocks; putting an insect-free koji block into the first sealing cavity, and putting an insect-containing koji block into the second sealing cavity; monitoring gas content data, temperature data and air pressure data of the first sealed cavity and the second sealed cavity; and calculating the contents of adults, pupae, larvae and eggs in the yeast to be detected according to the gas content data, the temperature data and the air pressure data of the first sealed cavity and the second sealed cavity. The invention provides a brand new koji insect detection scheme, a chemical detection means is not needed, the cost is effectively reduced, and the detection influence caused by seasonal change can be reduced because the detection environment can be kept stable.

The present application provides a semiconductor gas sensor chip and its preparation method and application. The chip includes: a substrate layer, a sensitive material layer, a filter layer and foam ceramics; the sensitive material layer includes Pd-SnO2, Pd-In2O3 and Pd-WO3; the filter layer includes the following preparation raw materials: Pd source, nonafluorohexyltrimethoxysilane and HZSM-5 molecular sieve. The present application obtains a sensor chip with excellent performance by regulating the sensitive material layer and the filter layer.

This invention relates to the field of target detection technology and discloses a method for obstacle detection in adverse weather conditions for AGV cargo vehicles used in copper electrode plate transfer. The method includes acquiring real-time images of the AGV vehicle to be detected under adverse weather conditions; inputting the real-time images to be detected into an improved YOLOX model for processing; and outputting obstacle detection results. The improved YOLOX model includes a backbone network, a feature pyramid network, a dynamic self-supervised network, and a detection head. The dynamic self-supervised network includes an environment-aware encoding layer and a dynamic feature reconstructing layer. Based on the improved YOLOX model, this invention solves the key technical problem of feature coupling caused by environmental interference in visual detection systems under adverse weather conditions by introducing a dynamic self-supervised network, and also addresses the core issue of a surge in false alarm rates in the AGV vehicle visual detection system during copper electrode plate transfer under adverse weather conditions.