62results about How to "No missed detection" patented technology

The invention discloses a switch cabinet environment intelligent monitoring and processing system based on a wireless network. The switch cabinet environment intelligent monitoring and processing system comprises a server and a plurality of data collectors corresponding to switch cabinets one by one. A wireless temperature and moisture sensor, a controller, a fan and a heater are arranged in each switch cabinet. The controllers receive data of the wireless temperature and moisture sensors and control the fans and the heaters to work, and the data collectors receive data of the wireless temperature and moisture sensors and send the data to the server. The switch cabinet environment intelligent monitoring and processing system can obtain monitoring data automatically, saves labor and materials, obtains monitoring data timely and is high in data accuracy. Once an abnormal condition happens, alarming information can be obtained immediately, corresponding processing on the abnormal condition can be conducted timely, and accidents are avoided.

The invention discloses an optical, mechanical and electronic integration detection system in the field of industrial automation, and particularly relates to a full-automatic detection device of automobile parts for fully automatically sorting automobile parts with defects and integrating vision and robots. The full-automatic detection device consists of a main body detection table and an electrical control cabinet, wherein the electrical control cabinet comprises a switch control unit, an image collection unit, an image processing unit, a communication output unit and an electrical control unit, the switch control unit controls the image collection unit to collect a regular geometric automobile part image, the image collection unit transmits the digitalized regular geometric automobile part image to the image processing unit, the image processing unit judges a recognition result of a regular geometric automobile part through image software, the recognition result is outputted to the electrical control unit through the communication output unit, and the electrical control unit adopts a PLC (programmable logic controller) to control a controlled mechanical arm of a linear module undertaking the discharging action to screen rejected mechanisms to be discharged in classification. The full-automatic detection device has the advantages that the automation degree and the detection speed are increased, the stability in detection is guaranteed and the like.

The invention discloses a novel blood corpuscle analysis meter and a novel blood corpuscle analysis method, which comprises a detecting system which consists essentially of a feeding and cleaning system, a microscope platform, a CCD camera, a drive circuit and a single chip microcontroller, is used for obtaining morphological information of blood corpuscles and is connected with a computer system, collected information is connected into a computer through a sampling card, image analysis processing is implemented, classifying and counting of the blood corpuscles are implemented from the aspect of cellular morphology, and an analysis result is output through the output device of a monitor and a printer. The novel blood corpuscle analysis meter and the novel blood corpuscle analysis method simulate the procedure of manual microscopical examination, provide a new concept for developing blood corpuscle analysis meters, are characterized by strong universality and reagent saving effect, provide an automatic method for morphological blood corpuscle detection, and can reduce the working load of manual microscopical examination.

The invention discloses a quick gap electromagnetic measurement method and a sensor device. The gap electromagnetic measurement sensor device suitable for any metal or non-metal material and the measurement method of the same are designed based on an electromagnetic induction principle. The sensor device consists of two thin metal sheets, a coil detecting thin plate, a holding rod, a fastener and a lead. The measurement method comprises two steps of calibration and actual measurement. The sensor device and the measurement method adopt an unique ferromagnetic micro-spring piece, namely the sensor device and the measurement method can adapt to gap detection of any material, have the important advantages of being high in measurement speed, precise in quantification and free of leak detection, can effectively replace conventional gap size measurement methods, quickly, precisely and comprehensively measure the gap size of workpieces and are suitable for gap measurement work of various metal or non-metal tubes, plates, bent workpieces and the like, and a detecting signal dynamic range and the linearity degree are improved well.

The invention relates to a method and a device for automatically restoring, measuring and classifying steel dimple images. The device comprises an image acquiring system, an image pretreating part, an image restoring part, an image analyzing part, etc. The image pretreating part is used for performing median filter noise removal and gray level correction on original images acquired by the image acquiring system; the image restoring part is used for performing binary segmentation by using an adaptive fuzzy threshold valve method; boundary deletion and holes in the obtained binary images are processed respectively by using an ultra-erosion and layer-by-layer expansion method and an improved scanning line seed filling algorithm; the image analyzing part is used for performing region calibration on the processed images and setting the dimple diameter as the diameter of the minimum circumcircle of the dimple; and a random dimple region area algorithm is used to measure the dimple area so as to obtain the dimple diameter. After measurement, the measured classification results are output. The invention has the advantages of accuracy, efficiency and convenience, and can be popularized and applied in fracture measurement, analysis and classification with complex backgrounds and shapes in the material filed.

The invention relates to an ultrasonic self-focusing phased-array detecting device for a butt weld of small diameter tubes. The ultrasonic self-focusing phased-array detecting device comprises an ultrasonic phased array instrument, a 60-degree transverse wave wedge block, a 7.5-Mhz self-focusing ultrasonic phased-array probe, a chain scanning frame and a miniature encoder. The chain scanning frame can be movably installed on the corresponding small diameter tube relative to the small diameter, and the 60-degree transverse wave wedge block and the 7.5-Mhz self-focusing ultrasonic phased-array probe are connected and fixed to the chain scanning frame; an ultrasonic wave emitted by the 7.5-Mhz self-focusing ultrasonic phased-array probe enters the small diameter tubes to scan through the 60-degree transverse wave wedge block, and the scanned result is fed back to the ultrasonic phased array instrument to be further processed. The miniature encoder is fixed to the chain scanning frame to record the axial movement track of the 7.5-Mhz self-focusing ultrasonic phased-array probe on the corresponding small diameter tube. According to the ultrasonic self-focusing phased-array detecting device, the size and the position of a butt-weld defect of the to-be-detected tubes can be confirmed by rotating the detecting device by a circle, and detecting efficiency is improved.

The invention relates to a detecting method and a reagent box for the DNA of the hepatitis B viruses of wild type and G1896A mutant, in particular to a method for detecting the DNA of the hepatitis B viruses of wild type and G1896A mutant by using the technology of combining the Locked Nucleic Acids with a molecular beacon probe as well as a real time PCR method and a reagent box used for finishing the detection. The method of the invention can specially and sensitively detect the DNA of the hepatitis B viruses of wild type and G1896A mutant in a clinic blood sample.

The invention discloses a switch cabinet environment intelligent monitoring system based on a wireless network. The system comprises a server, wireless humiture sensors arranged in switch cabinets for detecting the temperature and humidity in the switch cabinets, and multiple data collectors arranged in one-to-one correspondence with each switch cabinet. The input end of each data collector is in communication connection with the output end of a wireless humiture sensor in a corresponding switch cabinet through the wireless network; the output end of each data collector is in communication connection with the input end of the server; and one output end of the server is connected with a display and a data memory. By using the system provide by the invention, monitoring data can be automatically obtained, labor resources and material resources are saved, the monitoring data is obtained timely, the data accuracy is high, and alarm information can be obtained immediately once abnormity occurs.

The invention relates to an intelligent fully-automatic detector for transparent glass bottles. According to the intelligent fully-automatic detector, a primary detection separating device is used for detecting open defects of the glass bottles and bottle opening orientation of the glass bottles, and an instruction eliminating mechanism of a PLC (Programmable Logic Controller) is used for eliminating defected glass bottles or an instruction and bottle opening steering device is used for steering bottle openings; a partitioning conveying device is used for partitioning the glass bottles by a proper distance and conveying the glass bottles to a composite detecting device, the adsorption and separation between an adsorption conveying wheel and the glass bottles are achieved by using a spacing communicating connection relationship between vent holes in the adsorption conveying wheel and a regional air suction sleeve shaft, and a bearing roller arranged on the adsorption conveying wheel and a locating clamping roller are used for rotating the glass bottles during clamping, so that a signal acquisition camera unit can acquire information on the glass bottles from multiple angles, and unqualified glass bottles are accurately detected. The intelligent fully-automatic detector for the transparent glass bottles has the advantages that the structure is compact, the size is small, the adjustable range of specifications of the glass bottles is wide, a conveying process is stable and is free of collision and extrusion, graded detection is achieved, the accuracy of detection is high, omitted detection is absent, and the like.

The invention provides a freight train transfinite computer vision inspection system, and belongs to the field of precision optical measurement. The freight train transfinite computer vision inspection system comprises a line laser module, a camera module, a vision processing module and an alarm classification module. The data output end of the camera module is connected with the data input end of the vision processing module; the output end of the vision processing module is connected with the data input end of the alarm classification module; the video processing module comprises an image preprocessing module, a coordinate system transformation module and a high-speed measurement module. The hardware of the freight train transfinite computer vision inspection system consists of a camera and a line-structured optical laser which are arranged on a portal frame; and various transfinite sizes of the top and the two sides of a freight train can be measured automatically and quickly.

The invention discloses a probe and scanning device for detecting a turbine partition plate weld joint ultrasonic phased array. The probe and scanning device comprises a water coupling electric sprinkling can, a wedge block, an ultrasonic phased array control probe, a trolley, an encoder and a wedge block clamping frame. The wedge is assembled on the wedge block clamping frame located on the trolley. The ultrasonic phased array control probe is installed on the wedge block. A water coupling electric sprinkling can water inlet nozzle of the water coupling electric sprinkling can used for water injection is located on the wedge block; the encoder is installed on a frame of the trolley; the trolley is provided with wheels used for making contact with the surface of a detected workpiece; the encoder rolls along with the wheel and records the movement track of the scanning device on the detected workpiece and transmits data to an ultrasonic phase control instrument connected with the encoder.

The invention discloses a bottle collating mechanism for a medicinal glass bottle production line. The bottle collating mechanism comprises a collating device, a conveying device and a mechanical arm, and further comprises a detecting device, and the detecting device comprises a photographic device. The detecting device is additionally arranged on the bottle collating mechanism, incomplete glass bottles can be eliminated while bottle collating is carried out, clamping caused by the smashed glass bottles is avoided, and the normal working efficiency of the collating mechanism and a follow-up detecting mechanism is guaranteed.

The invention discloses a gelatinization process starch particle swelling capacity detection method based on computer vision. According to the method, starch images collected in different gelatinization stages are preprocessed through an algorithm, edge recognition extraction, edge optimization, pixel filling, pixel recognition and statistics and swelling capacity detection are conducted on starchparticles, and intelligent detection of particle form changes in the gelatinization process is achieved through pixel changes; wherein the algorithm is a combination of an rgb2gram algorithm, an improved canny algorithm, mathematical morphology, a flooding filling algorithm and a swelling capacity detection algorithm. According to the invention, a computer vision technology is applied to starch particle swelling property determination for the first time, the automation degree is high, detection efficiency is high, subjective vision difference of observers can be avoided, manual measurement errors are reduced, and measurement accuracy can reach 95% or above. The quantitative method is used for observing and researching the morphological change of starch particles on line and intelligentlydetecting the swelling capacity of the starch particles.

The application discloses a height-limiting rod anti-collision warning device employing a crash sensor. The device comprises a height-limiting rod, a pre-limiting rod arranged in front of the height-limiting rod, crash sensors and a control module arranged on the pre-limiting rod, and a warning device arranged on the height-limiting rod, a first crash sensor and the warning device are connected with the control module through a signal line or a wireless control module, a function of warning drivers of over-limit vehicles is provided, when the front vehicle exceeds the height, the driver of thefront vehicle is reminded to take brake measures and the driver of the rear vehicle is reminded to improve alert, and when the driver of the over-limit vehicle collides with the height-limiting rod due to failure of timely control of the vehicle, evidence can be taken in time, and the emergency is informed of a traffic accident police-calling station to facilitate subsequent processing. Accordingto the device, the structure is simple, the practicality is high, the accuracy is high, the work is reliable, the cost is low, function improvement of the conventional height-limiting rod on the roadcan be performed to achieve the goal of the device, and the material is saved.

The invention discloses a detection device for sleeper bolts. The detection device comprises a trigger collection module, an image collection module, an image processing module and a data processing module, wherein the trigger collection module is used for obtaining the to-be-collected positions of sleeper bolt images; the image collection module is used for obtaining plane image data of the sleeper bolts according to the to-be-collected positions; the image processing module is used for obtaining shape description from the plane image data of the sleeper bolts, recognizing a bolt area according to the shape description, carrying out circle fitting on the bolt area, and extracting the coordinates of the center of a circle; and the data processing module is used for calculating central offsets of the sleeper bolts and the to-be-collected position of a next frame of sleeper bolt image according to the coordinates of the center of a circle. The detection device can solve the technical problems that an existing detection device for sleeper bolts is complex in structure, relatively high in cost and tedious in calibration process, and due to the fact that a larger angle exists between acamera and laser, laser rays are extremely easily shielded by background objects with the heights over the bolts, so that bolt profiles cannot be collected and then leak detection is caused, and simultaneously certain mileage accumulative error exists for positioning in an advancing direction in a line scanning image collection way.

The invention relates to a tumor lymphatic infiltration detection method based on a cascade network, and provides automatic detection of a lymphatic infiltration area in a D2-40 immunohistochemical digital pathological full-field graph by utilizing a cascade structure of a lymphatic infiltration detection model and a difficult-to-distinguish sample mining network. In order to achieve the purpose that after a difficult-to-distinguish sample mining network filters a detection network output result, the number of false positive parts can be reduced as much as possible, and missing detection of true positive parts does not occur, the difficult-to-distinguish sample mining network needs to learn features of the false positive parts and the true positive parts, and the deep learning network learns the features through data. Therefore, the emphasis is how to acquire representative data, that is to say, training data are selected in the steps 3) and 4) in the step S70 of false positive filtering, and a classification model is trained through the selected two types of data to obtain a difficult-to-classify sample mining model.

The invention discloses a surface dyeing inspection method of a sapphire crystal bar. The method comprises the following steps: cleaning a to-be-detected sapphire crystal bar, and drying the crystal bar for later use; spraying a red penetrating liquid on the dried sapphire crystal bar, wherein the penetration time is 3-4 minutes, after 5 minutes, repeating the operation, and ensuring the penetration time to be 10-15 minutes; after the permeation treatment is completed, cleaning the residual penetrating liquid on the sapphire crystal bar, and then wiping with dust-free cloth containing a washing liquid; and applying a white developing liquid to the sapphire crystal rod after penetration treatment, wherein after the white developing liquid is dried, an absorption and floating phenomenon appears in the permeating liquid permeating at a crack edge breaking position, bright red appears on the powder after drying of the white developing liquid at the edge breaking position, namely, the red-free part can be judged to be free of defects, and the size and depth of crack edge breakage can be judged according to the shape and the size of the red leaking part. The inspection method in the invention is simple, low in environmental requirement and high in efficiency.