135results about How to "Reduce detection impact" patented technology

The invention relates to the technical field of data processing, in particular to an ecological environment data real-time monitoring method based on big data processing. Determining an abnormal index and an abnormal curve segment of the index data of the sensor at the current position in different time periods; determining the relevance between the index data of the sensor at the current monitoring position in the time period and the index data of other sensors in the corresponding time period of the time period; determining an atmospheric pollution index of the current monitoring position at the moment; the atmospheric pollution index is dynamically regulated and controlled through a plurality of types of single sensors at a certain monitoring position at a certain moment, adjacent sensors and the pollution diffusion direction; and outputting early warning information. According to the method, the contribution degree of index data of various sensors at different monitoring positions in the to-be-detected area to the atmospheric pollution condition can be analyzed, the atmospheric pollution index of a certain monitoring position is dynamically adjusted in combination with the pollution diffusion direction, the influence of environmental factors on sensor detection is reduced, and the judgment accuracy of the atmospheric pollution condition is improved.

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 financial cloud data center encryption tunnel communication detection method and device, and belongs to the technical field of network security, and the method comprises the steps: S1, collecting the flow of a financial cloud data center, decoding an HTTP protocol, and obtaining HTTP protocol elements, the HTTP protocol elements comprising quintuple information, a request header, a request body, a response header and a response body; s2, disordered language elements in the HTTP elements are judged and recognized, the disordered language elements are recognized, and the disordered language elements are encrypted / coded character strings; and S3, analyzing the disordered language elements through a big data stream analysis mode, filtering false alarms, detecting threats and giving an alarm. According to the invention, the malicious encrypted traffic transmitted by using the HTTP tunnel technology can be effectively identified, and the problem that the traffic is difficult to detect in the prior art is solved.

The invention relates to a radiation heat insulation coating performance detection device and a detection process thereof, and relates to the technical field of coating detection. The device comprises a box body and a material taking opening formed in the top of the box body in a penetrating mode, a mounting ring plate used for bearing a detection plate is arranged in the material taking opening of the box body, a box cover used for covering the material taking opening is arranged at the top of the box body, and a heating piece used for heating the detection plate is arranged in the box cover. A lifting assembly used for driving the box cover to be close to or away from the box body is arranged on one side of the box body. A temperature measuring assembly is arranged on the box body and used for measuring temperature data on the two sides of the detection plate; the method has the effect of improving the detection accuracy of the heat insulation performance of the coating.

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 invention discloses a prestressed pipe pile inner surface integrity detection device, and belongs to the technical field of pipe pile detection.The prestressed pipe pile inner surface integrity detection device comprises a prestressed pipe pile body, and one end of the interior of the prestressed pipe pile body is provided with a first supporting shell and a second supporting shell; a plurality of connecting supporting pipes are fixedly connected between the first supporting shell and the second supporting shell, movable supporting mechanisms are installed in the first supporting shell and the second supporting shell, and a rotary adjusting mechanism is rotationally connected between the center of the first supporting shell and the center of the second supporting shell. By designing the two movable supporting mechanisms and the rotary adjusting mechanism, rotation of the two driving fluted discs is completed through one supporting connecting rod, then simultaneous extension of the two movable supporting mechanisms is achieved, supporting is completed, detection of prestressed pipe pile bodies with different diameters can be achieved, and the application range of the device is widened.

The invention provides a power equipment detection method and device based on image fusion, and belongs to the field of power equipment defect detection. The method comprises the following steps: acquiring a visible light image, an infrared image and temperature information of power equipment; extracting first feature points of the two images; according to the first feature point, registering the infrared image through a registration model to obtain a registered image; extracting second feature points of the visible light image and the registration image; according to the second feature point, the registration image and the visible light image are fused through a fusion model; enhancing the feature information of the obtained fused image based on a feature fusion framework to obtain a to-be-detected feature image; inputting the to-be-detected feature image into a detection module to obtain preliminary detection information of the power equipment; and determining a final detection result of the power equipment in combination with the temperature information. According to the method, the image fusion and target detection technology is applied, and the thermal defects of the power equipment can be rapidly, accurately and intelligently detected.

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.

The utility model relates to a VOC (volatile organic compound) detector with a telescopic probe, which comprises a machine body, a lifting component and an air inlet pipe, the machine body comprises an outer shell, a detector and a filter, both the detector and the filter are arranged in an inner cavity of the outer shell, and the filter is connected with the input end of the detector; one end of the air inlet pipe is connected and communicated with the filter, and the position state of the other end of the air inlet pipe is adjusted by utilizing a lifting assembly mounted in the outer shell, so that the end part of the air inlet pipe can be moved into or out of the outer shell. Through cooperative arrangement of the lifting assembly and the air inlet pipe, when the equipment is carried or not used, the hard pipe can be adjusted to be stored in the outer shell through the lifting assembly, and the influence of accumulation of dust and impurities in the outer shell on detection is reduced; and when the hard pipe is stored in the outer shell, the dustproof cover can be used for assisting in shielding the notch in the outer shell and the hard pipe.

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 present invention relates to the field of antibiotic resistance gene detection, and discloses a method for detecting antibiotic resistance genes based on short nucleotide fragments, comprising the following steps: obtaining the gene sequence of the antibiotic resistance gene and the whole genome sequencing data of the bacterial strain, performing data preprocessing to identify the nucleotide fragments, and obtaining a nucleotide sequence index reference data set C1 and a comparison data set C2; obtaining a short nucleotide fragment reference data set S1 and a comparison data set S2 of a specified length from the reference data set C1 and the comparison data set C2 respectively; dynamically matching the reference data set S1 and the comparison data set S2; calculating the comparison rate based on the dynamic matching result; and outputting the antibiotic resistance gene detection result. The method of the present invention can solve the impact of the low accuracy of the whole genome sequencing results and the limitations of the antibiotic resistance gene database on the detection of antibiotic resistance genes, and improve the accuracy and detection rate of antibiotic resistance gene detection.

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 present invention belongs to the field of laser technology, and specifically discloses a dynamic threshold adjustment method suitable for a laser semi-active seeker. After the seeker intercepts a target, the target signal energy increases rapidly as the distance between the missile and the target approaches. At this time, the seeker performs dynamic gain adjustment on the signal strength through a built-in programmable gain amplifier. According to the gain parameter G at this time, the calculated detection threshold V'0 is corrected again as the detection threshold at the current moment, thereby achieving the purpose of adjusting the signal judgment threshold, improving the signal-to-noise ratio, and improving the measurement accuracy. The method dynamically adjusts the detection threshold according to the characteristics of the environmental background and the working state during the work of the seeker, improves the reliability of the seeker, reduces the false alarm rate, ensures the seeker's detection of effective signals, accurately obtains the receiving time and amplitude of the laser signal, and improves the overall performance of the seeker.

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 invention belongs to the technical field of temperature and humidity monitoring, and particularly relates to temperature and humidity equipment for environmental monitoring, a rotating assembly is used for driving a movable support to rotate and controlling the monitoring directions of a temperature sensor and a humidity sensor, the movable support is used for connecting the temperature sensor and the humidity sensor, and the rotating assembly is used for driving the movable support to rotate and controlling the monitoring directions of the temperature sensor and the humidity sensor. The conductor induction end of the humidity sensor is exposed outside and is in full contact with the surrounding environment of a monitoring point, and the conductor induction end of the temperature sensor is located in the moisture absorption assembly and is used for isolating moisture; before temperature measurement, air in a high-humidity environment can be fully moisture-absorbed and filtered in the sealed chamber, and then the moisture content in the air is reduced, so that a temperature measurement element is protected, and the measurement precision is improved; when the temperature sensor monitors, the semiconductor sensing head is always located in the sealed chamber and cooperates with the small air pump to complete air collection at different high positions, so that the temperature measuring element is protected, and the service life of the temperature measuring element is prolonged.

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 water pump bearing radial run-out detection device comprising a bearing body, the bearing body is fixed through a clamping device, the top of the bearing body is provided with a load block, one side of the bearing body is provided with a detection meter, and the detection meter is connected with an adjusting device. The adjusting device is used for controlling the detection meter to move towards the long axis direction of the bearing body, the detection device not only can reduce the influence of angle clearance on detection and improve the accuracy of detection data, but also can adjust the position of the detection meter at any time according to the diameter and height of the bearing body, so that the detection accuracy is improved. Smooth water pump bearing radial run-out detection work is guaranteed, and detection efficiency and quality are improved.

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.