24results about How to "Realize batch detection" patented technology

The invention discloses a crystal form judgment method of a silicon carbide single crystal polymorphic symbiotic region and application, and belongs to the technical field of silicon carbide material detection. The determination method comprises the following steps: (1) testing: carrying out Raman test on silicon carbide single crystals to obtain a test spectrogram, and classifying characteristic peaks in the test spectrogram into first crystal form Raman characteristic peaks and second crystal form Raman characteristic peaks according to Raman characteristic peaks of different crystal forms; and (2) judgment: judging that the crystal form at the test point is the first crystal form, a symbiotic crystal form of the first crystal form and the second crystal form or the second crystal form according to the ratio of the peak intensity of the Raman characteristic peak of the first crystal form to the peak intensity of the Raman characteristic peak of the second crystal form. According to the method, Raman is adopted to test the silicon carbide single crystal material, and the crystal form at a test point is judged according to a test spectrogram, so that the crystal form of a multi-type symbiotic region of the silicon carbide single crystal material can be accurately distinguished and quantitatively characterized, and the method can be used for large-scale detection of a silicon carbide single crystal rod.

The invention provides an instance segmentation detection method and application based on improved YOLOv8s. The method comprises the following steps: collecting a to-be-segmented data set, preprocessing the to-be-segmented data set, constructing an improved YOLOv8s model, and training the preprocessed data set; the method is applied to target detection of images and / or videos, such as segmentation detection of second-phase particles of nickel-based superalloy. According to the improved model, an SPDConv layer and a small target detection layer are added, and an SIoU loss function is adopted, so that the small target detection performance of the model is greatly improved, and the omission ratio is reduced; second-phase particle dispersion calculation is updated and embedded into the second-phase particle identification process, batch detection is achieved, and indexes such as the average area fraction, the average number, the average size and the dispersion of the second-phase particles can be directly calculated; the model segmentation performance is good, the operation speed is high, the target detection process is opened, and the method can also be applied to other processes, intelligent recognition of macroscopic objects and online recognition and calculation of videos.

A fuel nozzle sealing performance batch detection device disclosed by the present invention comprises a base, the top of the base is fixedly connected with a driving mechanism for providing a driving force, the driving mechanism is provided with a working condition simulation mechanism, and the top of the working condition simulation mechanism is provided with a detection mechanism. A fixing plate is fixedly installed on the outer side of the conveying mechanism, a detection switching mechanism is fixedly installed on the top of the fixing plate, and a clamping mechanism used for clamping and removing a fuel nozzle body is arranged outside the detection mechanism. The multiple pump bodies and the material conveying frames are sequentially arranged and matched, according to the detection process, the pump bodies extract media from the corresponding material conveying frames, the media are injected into the nozzles through the guide pipes and the clamping mechanism channels, the gas tightness is detected through gas, then the oil injection quantity is detected through oil injection, and whether the media are qualified or not is judged according to the preset value range. And the phenomenon that the fuel injection quantity of the fuel nozzle does not conform to the expectation due to the fact that the sealing performance of the fuel nozzle is too good is prevented.

The present invention discloses a primer for detecting sex-specific SNP molecular markers of catfish from different sources. The primers include a forward primer F and a reverse primer R. The sequence of the forward primer F is shown in SEQ ID NO:3, and the sequence of the reverse primer R is shown in SEQ ID NO:4. The SNP molecular marker is located at the 11,946th position of the sequence shown in SEQ ID NO:1, and its base is A or C, wherein the CC genotype is female fish, and the A / C genotype is male fish. A method for identifying the sex of catfish from different sources using the primers is also disclosed, as well as the application of the primers or methods in sex identification of catfish from different sources. The present invention develops primers for detecting the SNP molecular markers. The primers can be used for genetic sex identification of catfish, especially catfish from different sources, and provide great production application value for the monosexual breeding of catfish.

The utility model discloses a novel qualitative testing fixture for multifunctional detection of a traction motor installation interface, which relates to the technical field of motor testing fixtures, and comprises a positioning detection seat, a detection flange, a reinforcing plate, a detection support and a support bottom plate, and is made of alloy steel materials. According to the utility model, the problem that whether the dimensional deviation, the location degree deviation and the angle deviation of the installation male end of the traction motor and the N1-S installation hole accord with and reach the tolerance zone range of the pattern technical requirements is solved and detected; the problem that whether distance size deviation and position deviation of N2-K holes on symmetrical footing surfaces of center height H of a traction motor of a detected motor vehicle and mounting holes c and b accord with and reach a tolerance zone range of pattern technical requirements is solved. The problem of detecting whether the H dimensional deviation and the flatness deviation of the center height H symmetrical footing surface of the traction motor of the detected motor vehicle accord with and reach the tolerance zone range of the pattern technical requirements is solved. The structure is simple and practical, and multifunctional detection efficiency is high.

The utility model discloses a kind of installation and test fixture assembly of photoelectric leakage sensor, the component includes photoelectric probe installation fixture, main control board installation fixture and test fixture;Among them, photoelectric probe installation fixture includes: first bearing main body and clamping device, first bearing main body is equipped with several first bearing sites to bear the circuit board of photoelectric probe, clamping device can be fixed pinout, and pinout and the circuit board welding spot of electric probe can be made to realize contact;The second bearing main body of main control board installation fixture is equipped with several second bearing sites, for photoelectric probe and main control board placement and through pinout welding form photoelectric leakage sensor;The test station of test fixture can place second bearing main body and connect test device, to detect photoelectric leakage sensor.The utility model can realize the quick installation and batch detection of photoelectric leakage sensor, effectively improve its production and detection efficiency.

The invention discloses a quantitative detection device and a quantitative detection method for multiple types of side walls of a silicon carbide crystal bar, and belongs to the technical field of silicon carbide crystal bar detection. The quantitative detection device comprises a three-dimensional adjusting table, a distance measuring mechanism, a Raman detection mechanism, a conveying mechanism, a visual judgment mechanism and a control mechanism, wherein the three-dimensional adjusting table is used for placing a silicon carbide crystal bar to be detected and driving the silicon carbide crystal bar to be detected to rotate in a three-dimensional manner; the ranging mechanism is used for testing the thickness of the to-be-tested silicon carbide crystal bar; the Raman detection mechanism comprises a Raman detector, a detection pipeline, a corner lens and a detection port; the transmission mechanism is used for adjusting the distance between the three-dimensional adjusting table and the detection port; if focusing is abnormal, the visual judgment mechanism transmits information to the control mechanism, and the control mechanism controls the three-dimensional adjusting table and the conveying mechanism to achieve focusing. According to the device, the visual judgment mechanism, the three-dimensional adjusting table and the conveying mechanism are matched to realize automatic focusing of Raman laser, so that the detection precision and the detection efficiency are improved, and multi-type quantitative detection on the side wall of the silicon carbide crystal bar is realized.

This utility model discloses a toy bottle stopper detection device, designed for batch detection of whether toy bottle stoppers are missing. The technical solution is as follows: A toy bottle stopper detection device includes a base plate and a cover mounted on the base plate. The cover encloses a detection chamber with an opening on the base plate, the opening being horizontal. Within the detection chamber, a detection platform, a tray, and a light-transmitting plate are arranged sequentially from bottom to top. The detection platform is mounted on the base plate, and multiple light sources are located on its top. The tray, made of transparent material, is mounted on the detection platform and has multiple slots for placing toys, each slot corresponding to one of the light sources. If a toy contains a bottle stopper, the light sources cannot penetrate the toy to illuminate the light-transmitting plate. This device belongs to the field of toy manufacturing technology.

This utility model relates to the field of electricity meter testing technology, and particularly to a testing component and testing equipment for testing product labels on electricity meters. The electricity meter has a product label on its surface, which includes a first information identifier and a second information identifier. The testing component includes a first detection element, a second detection element, and a control element. The first detection element detects and identifies the first information identifier and generates first detection information; the second detection element detects and identifies the second information identifier and generates second detection information; the control element receives the first and second detection information, and is capable of comparing the first and second detection information and outputting the comparison result. The testing equipment includes the above-described testing component. This testing component and equipment offer high testing accuracy and efficiency for electricity meters.

This application provides a weak dark current testing device, comprising: a housing; a test socket disposed within the housing for supporting and electrically connecting one or more devices under test (DUTs) to collect dark current signals generated by the DUTs; a channel interface disposed on the housing for connecting to external testing equipment; a channel switching module disposed within the housing and connected to both the test socket and the channel interface, forming a dark current signal path from the DUTs to the external testing equipment; and the channel switching module selectively conducting the dark current signal path, enabling dark current testing of different DUTs through the external testing equipment. This application, through the channel switching module, time-division multiplexes the dark current signal paths between each DUT and the external testing equipment, sequentially completing the dark current testing of each DUT, thereby improving the efficiency of dark current testing.

The invention discloses an MOD RING product slope angle detection method, which can quickly and effectively realize accurate detection of a slope feature distribution angle. In the inspection process, an inner point, a middle point and an outer point are collected at intervals of a certain angle for an MOD RING product ring, so that a plurality of points are collected, and the point positions are judged and confirmed to fit the plane and slope characteristics of the product, so that the connection position is detected, and the distribution angle is calculated. And the precision can be ensured to be within an error allowable range. Batch detection of similar products is realized, and the production efficiency is improved. The problems that the MOD RING product slope feature distribution angle is difficult to detect, and the slope angle cannot be effectively detected due to the fact that the thicknesses of the left side and the right side of the product plane are different and the slope serves as the transition of the two thicknesses are solved.

The utility model discloses an automatic workpiece concentricity detection device, which relates to the technical field of automatic workpiece detection and comprises a total frame and an electric cabinet, a workbench is arranged above the total frame, a moving cylinder is arranged on the left side of the workbench, a moving seat is arranged at the head of the moving cylinder, and a tensioning mechanism and a motor are arranged above the moving seat. A detection mechanism is arranged at the right end of the workbench. According to the utility model, through cooperative work of the movable cylinder, the tensioning mechanism, the motor and the detection mechanism, the steps of manual operation are reduced, so that the detection speed is accelerated. The electronic instrument can detect concentricity parameters of the head of the workpiece in real time, and transmits the data to the controller through electrical connection, so that the concentricity of the workpiece is accurately measured. By rotating the position of the adjusting ring, the device can adapt to workpieces of different lengths, and batch detection is achieved. Due to the flexibility, the device can be widely applied to various occasions needing concentricity detection, and the requirements of different industries are met.

The utility model discloses a detection tool for a microswitch of an electric energy meter. The detection tool comprises a driving mechanism, a guiding slide rail, a touch seat and at least two fixing seats. The fixing seat is provided with a fixing groove which is used for installing the microswitch. The guide sliding rails are located between every two adjacent fixing bases. The touch seat is slidably mounted on the guide sliding rail, and a touch bulge is arranged at the position, corresponding to the fixing groove, of the touch seat; the driving mechanism is used for driving the touch seat to reciprocate on the guide slide rail; according to the detection jig for the microswitches of the electric energy meter, the touch seat capable of reciprocating is arranged between the two adjacent fixed seats, and the touch test of at least two microswitches can be realized through the single reciprocating motion of the touch seat. According to the design, the detection efficiency is remarkably improved, the complexity of manual operation is reduced, and meanwhile, the accuracy and consistency of detection are ensured.

The application discloses a hole punching state detection method and device, and belongs to the technical field of industrial detection. The hole punching state detection method comprises the following steps: performing affine transformation on an initial image corresponding to a to-be-detected hole based on a positioning core in a template image, and obtaining a registration image aligned with the template image; the template image comprises a hole detection area; processing the registration image based on the hole detection area, and obtaining a first target hole image; the first target hole image comprises at least one vertical stripe; and determining the punching state of the to-be-detected hole based on the texture of the stripe. The hole punching state detection method provided by the application can complete detection only by using a transmission light source, has low detection cost, high detection efficiency, and high robustness, and can still determine the hole punching state in the case that the initial image brightness changes, the image rotates and scales, the image definition changes and the hole edge weakens, so that batch detection of equipment is realized.

The invention provides a turbine blade film hole detection method based on AI image recognition. The turbine blade film hole detection method comprises the following steps: S1, establishing a detection system to obtain a turbine blade image containing a film hole; s2, carrying out AI model iteration training development of gas film hole contour extraction; s3, establishing a theoretical blade film hole model; and S4, measuring the turbine blade. The turbine blade film hole detection method based on AI image recognition has the following advantages that firstly, the measurement speed is high, and batch detection can be achieved; 2, the measurement accuracy is high; 3, the method does not depend on the skill level of an inspector; 4, the enterprise detection cost is reduced; and fifthly, the product quality of the turbine blade is powerfully guaranteed.

This utility model discloses a bolt tightness testing device for building construction supervision, relating to the technical field of bolt tightness testing equipment. The device includes a workbench with a control box mounted on its lower end and a first fixed bracket fixedly connected to its upper end. The testing components include two first limiting plates, a first connecting rod fixedly connected to the output end of a second drive motor, two second limiting plates fixedly connected to the right side of the first connecting rod, a second connecting rod fixedly connected to the output end of a fourth drive motor, two third limiting plates fixedly connected to the lower end of the second connecting rod, and a testing box fixedly connected to the output end of a third drive motor. A torque sensor is installed inside the testing box. By adjusting the rotation of the first connecting rod, the second connecting rod, and the testing box, the left and right testing components can work independently or collaboratively, enabling batch testing of bolts on the entire surface of large components, improving testing efficiency and the accuracy of testing data.

The application discloses an online optical detector and relates to the technical field of optical detectors. The application comprises a detection table, the top of the detection table is fixedly provided with an optical detector body, a plurality of evenly distributed sheath passing grooves are formed in the top of the detection table, the sheath passing grooves are located at the bottom of the optical detector body, illumination lamp strips are inlaid and fixed on the inner walls of the sheath passing grooves, and vertical first fixed bearing frames are fixedly arranged at the two ends of the detection table. The optical detector body is arranged, so that when a sheath spring clamp drags a to-be-detected sheath to slide, the optical detector body detects the part of the to-be-detected sheath at the bottom of the optical detector body, the illumination lamps at the bottom of the sheath passing grooves perform reverse lighting, the structure in the to-be-detected sheath is illuminated, the optical detector body detects the structure defects and the material uniformity problems, the batch detection of the to-be-detected sheath is realized, and the detection speed is improved.

The utility model discloses an automatic HPLC (High Performance Liquid Chromatography) module detection device based on image recognition. The automatic HPLC module detection device comprises a frame, the tray is arranged in the frame, a groove for supporting a plurality of HPLC modules is formed in the tray, and an appearance recognition detection position suitable for carrying out image bar code recognition on the HPLC modules is arranged in the frame; the image acquisition assembly is used for acquiring image bar code information on the tops of the plurality of HPLC modules on the tray; the upper computer is used for inputting preset parameter information of the HPLC module and sending a control instruction; and the electric control system is respectively connected with the upper computer and the image acquisition assembly, and is used for receiving and processing the signal, comparing the actually acquired image bar code information with the input preset parameter information of the HPLC module, and reporting the result to the upper computer. According to the utility model, the plurality of HPLC module placing grooves are arranged on the tray, the batch detection of the HPLC modules is realized, the detection efficiency is high, the number of the detected HPLC modules can be adjusted as required, and the applicability of the device is improved.

This utility model discloses a multi-aperture chip detection fixture, relating to the field of chip detection technology, and mainly solves the problems of low efficiency, complex operation, and unstable signals in existing technologies. It includes a test PCB board, a multi-aperture chip fixing structure mounted on the test PCB board, and a driving structure for applying pressure. The multi-aperture chip fixing structure achieves precise positioning and signal transmission through an upper needle plate, a multi-aperture chip limiting guide plate, a lower needle plate, and test probes; the driving structure provides controllable pressure through a knob, a threaded ring, a movable plate, and a pressure block. This utility model can efficiently detect multiple chips simultaneously, ensuring stable signal transmission and convenient operation, enabling batch testing and solving the low efficiency problem caused by traditional fixtures that can only detect a single chip at a time.

The invention discloses a tile-type multi-core cable detection device and detection method, and relates to the technical field of thickness detection. A tile type multi-core cable detection device comprises a measurement image instrument body, a closing plate is installed on the measurement image instrument body, a collecting groove is formed in the measurement image instrument body, a display screen is installed on the measurement image instrument body, a pipe barrel is fixedly connected to the measurement image instrument body, and one end of the pipe barrel is located in the measurement image instrument body. The other end of the pipe barrel is located outside the measuring imaging instrument body, the cable penetrates through the pipe barrel, the inner wall of the measuring imaging instrument body is provided with a material cutting assembly used for cutting the cable, and the material cutting assembly is provided with a positioning frame. By controlling the electric sliding rail and the material cutting assembly, batch cutting of cables and batch detection of cable rings can be achieved, meanwhile, the detected cable rings on the sliding bottom plate are automatically blown forwards to fall into a collecting groove of the measuring image instrument body, the operation difficulty is simplified, and the detection precision is improved.

The invention relates to the field of fruit damage detection, and discloses a fruit and vegetable damage detection device. A large number of fruits and vegetables can be orderly transmitted to a shock-absorbing row spacing through a transportation device, and a distance is provided between the fruits and vegetables through a shock-absorbing row spacing frame. An alignment device can smoothly detect the fruits and vegetables by a detection device, and bad fruits and vegetables detected are rejected by a rejection device. After continuous transportation, row spacing, alignment, detection, and rejection, the invention can perform batch detection of mechanical damage to fruits and vegetables, thereby improving the detection speed.

The utility model relates to the technical field of water quality detection, and discloses an online nitrate analyzer which comprises a casing, and a support and a photoelectric detector are fixedly mounted in the casing. According to the online nitrate analyzer, the test tubes are driven to sequentially move between the xenon flash lamp and the photoelectric detector through intermittent rotation of the circular plate, batch detection of sewage samples is achieved, the mode that single samples are sequentially detected through traditional equipment is changed through the design, the samples do not need to be frequently replaced manually, the detection time is greatly shortened, and the detection efficiency is improved. A large amount of sewage samples can be quickly and efficiently treated, and the manual frequent sample replacement process is reduced, so that the labor cost is reduced, the extra expenditure caused by manual operation is avoided, the error caused by improper manual operation is effectively avoided, and the working efficiency is improved. The consistency and the stability of each sewage sample in the detection process are ensured, so that the accuracy and the reliability of a detection result are remarkably improved.

The invention discloses a card detection device, which relates to the field of card detection equipment, including a test chamber, both sides of which are provided with an induction test mechanism for testing whether a card responds normally, a vacuum adsorption part for batch adsorption of cards is also provided inside the test chamber, a batch bending part for batch bending test is provided outside the vacuum adsorption part, the batch bending part is composed of a folding mechanism for controlling the bending direction of the card and a test fixture driven by the folding mechanism; a negative pressure adsorption belt line for conveying the card, the test chamber is installed on the top of the negative pressure adsorption belt line frame; a waterproof test part is arranged on one side of the negative pressure adsorption belt line; the invention can not only automate the performance detection process, but also perform detection of multiple items at the same time, so the detection efficiency is high, and the induction test, bending test and waterproof test are combined together to make the detection result more reliable.

The invention discloses an automatic fritillaria identification system and method based on hierarchical deep learning, and relates to the technical field of intelligent detection of traditional Chinese medicinal materials. The system comprises a hardware integration and image acquisition module, an image processing and target positioning module and a grading identification algorithm module. Wherein ConvNeXt-is adopted for the category pairs of the Songbei and the Pingbei, which are relatively low in similarity; carrying out classification and identification through a Tiny network; the method comprises the following steps of: performing classification identification by adopting a double-branch ConvNeXt model aiming at furnace shell and illite type pairs with relatively high similarity, respectively extracting local microscopic texture and overall macroscopic morphological characteristics by adopting texture branches and morphological branches which are constructed in parallel, and performing optimization by adopting a joint loss function fusing tuple marginal penalty terms so as to enhance the inter-class discrimination capability. According to the invention, full-process automation from sample feeding to identification result output is realized, the identification precision is high, the speed is high, and the method is suitable for rapid nondestructive batch detection in the circulation link of traditional Chinese medicinal materials.