82results about How to "Realize online automatic detection" patented technology

The invention relates to a laser binocular vision-based vehicle running deviation online automatic detection system. According to the technical scheme, a first photoelectric switch and a second photoelectric switch are arranged on the left sides of destinations of a test preparation area (7) and a test area (9); a first detection device (2) and a second detection device (5) are correspondingly arranged above the destinations of the test preparation area (7) and the test area (9); a first charge-coupled device (CCD) image sensor (13) and a first large-field of view laser light source (11) of the first detection device (2) are arranged at a bottom plate of a first temperature control box (14); the structure of the second detection device (5) is the same as that of the first detection device (2); a computer (18) is connected with the first CCD image sensor (13) and a second CCD image sensor (15) through network cables; a first photoelectric tube (1) is connected with the first CCD image sensor (13); a second photoelectric tube (4) is connected with the second CCD image sensor (15); and the computer (18) is provided with vehicle running deviation online automatic detection system software. The influence of a measurement environment is eliminated, and the measurement accuracy can be improved.

The invention relates to the manufacture field of rigidity electric ignition powder heads of industrial electric detonators and discloses a device for detection, rejection and butt connection of the rigidity electric ignition powder heads. The device comprises a stepping mechanism, a rigidity electric ignition powder head resistance automatic detection machine, a rejection machine, a hot press welder, a programmable logic controller (PLC) and a computer. The rigidity electric ignition powder head resistance automatic detection machine is provided with a resistance measuring instrument, and a probe is respectively connected with two poles of the resistance measuring instrument. The rejection machine is arranged on the conveying route of the stepping mechanism and located at the back of the rigidity electric ignition powder head resistance automatic detection machine. The hot press welder is arranged on the conveying route of the stepping mechanism and located at the back of the rejection machine. The computer is connected with the rigidity electric ignition powder head resistance automatic detection machine, a rejection cylinder of the rejection machine and the hot press welder through the PLC. The device is high in production efficiency and capable of producing rigidity electric ignition elements with stable resistance and good shockproof capability.

The invention provides a low-pressure anion-cation chromatographic-spectrophotometric method for simultaneous online automatic analysis of trace ammonium ions and nitrite ions in a water sample; the method employs analytical apparatuses, such as a low-pressure pump, a sample injection valve, a sample injection ring, a low-pressure anion exchange column, a low-pressure cation exchange column, an oxidation reactor, a color rendering reactor, an optical flow cell, an optical detector, a computer processing system, a first mixer and a second mixer, and comprises the steps of (1) drawing a baseline; (2) drawing a spectrum of NH4+ and NO2- in a sample; (3) drawing a standard working curve; (4) calculating the concentrations of NH4+ and NO2- to be detected in the sample according to peak height values of the spectrum of NH4+ and NO2- and a regression equation of the standard working curve. It is the first time for the method to provide simultaneous online analysis for trace NH4+ and NO2- in a water sample by the joint use of low-pressure ion chromatography and spectrophotometry, and the method has the advantages of low analytical cost and high analytical efficiency.

The invention relates to a method of identifying reconstituted milk and ultra-high temperature sterilized milk. The method comprises steps: a) non target metabonomics data of milk samples of reconstituted milk and ultra-high temperature sterilized milk are collected separately by adopting high performance liquid chromatography-high resolution mass spectrometry, and the characteristic information of the two is extracted respectively; b) an analysis model is built, the characteristic information is analyzed, and differential metabolites of the reconstituted milk and the ultra-high temperature sterilized milk are determined; c) a pseudo-target metabolomics detection method to identify reconstituted milk and ultra-high temperature sterilized milk is constructed to screen the differential metabolites in the step b), and the characteristic information of the differential metabolites is obtained; and d) based on the characteristic information of the differential metabolites obtained in the step c), a PCA-Class discriminant analysis model is constructed, and based on the PCA-Class discriminant analysis model, determination of a to-be-detected milk sample is realized. The method is convenient, sensitive and accurate, and can realize rapid and automatic discrimination of ultra-high temperature sterilized milk and reconstituted milk.

The invention provides a method for identifying ultra-high-temperature sterilized milk and reconstituted milk based on a lipid group, which comprises the following steps:1) performing lipid extractionpretreatment on an ultra-high-temperature sterilized milk sample and a reconstituted milk sample to obtain a lipid sample; 2) performing chromatographic separation-mass spectrometry scanning on the lipid sample of the ultra-high-temperature sterilized milk and the reconstituted milk by adopting a high-resolution mass spectrometry technology; 3) extracting and filtering peaks of lipid samples of two types of milk, carrying out qualitative analysis on each lipid component, and carrying out integral processing on each lipid component; 4) carrying out orthogonal partial least square variance discrimination analysis on an integral result, and determining a characterization factor capable of completely classifying the two types of milk; 5) establishing an orthogonal partial least square variance discrimination model by using the screened characterization factor. According to the method, the high-resolution mass spectrometer is adopted for measurement, the pretreatment method is simple and easy to operate, the types and the contents of substances in the two types of milk can be comprehensively analyzed, the on-line automatic detection of the sample is achieved, and the detection efficiency of the sample is greatly improved.

The invention discloses a method for detecting glass bent through baking. The method comprises the following steps that the glass bent through baking and taken out of a furnace is delivered to a turnover mechanism through a delivery mechanism; the turnover mechanism is started, so that the glass is turned over and inclines relative to the horizontal plane; after the glass is turned to a detection position through the turnover mechanism, an image detection mechanism is started, so that the glass is scanned, and corresponding data and corresponding images are recorded. According to the method for detecting the glass bent through baking, the glass bent through baking and taken out of the furnace is directly delivered to the turnover mechanism, so that the glass is turned over through the turnover mechanism conveniently; the glass is turned to the detection position, so that the glass inclines relative to the horizontal plane, and the phenomenon that the accuracy of measured data is influenced due to deformation, caused by transverse gravity action, of the glass bent through baking is avoided; the glass is directly scanned and detected through the image detection mechanism, direct contact between a worker and the glass is not needed, automatic online detection is achieved, and the detection efficiency and the detection accuracy are improved. The invention further discloses a device for detecting the glass bent through baking.

The invention discloses a part detection mechanism based on machine vision, which comprises a rack, an input conveying mechanism;with the overall moving direction of the detected part as the downstream direction, an input conveying mechanism, a clamping shooting mechanism and an output conveying mechanism are sequentially arranged on the rack from the upstream direction to the downstream direction; an electric control device is further arranged on the rack, the electric control device is connected with a display screen and an audible and visual alarm, and an image recognition module is arranged in the electric control device; the clamping shooting mechanism comprises a camera mechanical arm and a clamping device installed on the lower middle portion of the rack. A first camera is arranged at the free end of the camera mechanical arm, an illuminating lamp is arranged at the free end of the camera mechanical arm or on a fixing structure above the camera mechanical arm, and the servo motor, the illuminating lamp and the first camera are all connected with an electric control device; the clamping device comprises a clamping structure used for clamping a part, a longitudinal rotating structure used for driving the clamping part to rotate, a transverse rotating structure and a longitudinal overturning structure. The part detection mechanism further comprises a magnetic powder detection device.

The invention discloses an apparatus for on-line sampling and detecting of a lifting type tobacco strip for a threshing and redrying factory, which comprises a sampling device, a tobacco strip conveying device, a tobacco strip detecting device and a controller for controlling the above devices, wherein the discharge opening of the sampling device is arranged above the tobacco strip conveying device, the discharge opening of the tobacco strip conveying device is arranged above the feeding opening of the tobacco strip detecting device, and the discharge opening of the tobacco strip detecting device is provided with a discharge belt. In the existing tobacco production line, a tobacco collecting device is added, and the tobacco is thinly processed in the conveying process. Finally, the tobaccois positioned by a negative pressure discharging chamber, and the positioned tobacco is collected by an image sensor, so that the image detection device of the tobacco strip can directly process theimage of the collected tobacco strip to greatly improve the working efficiency and reduce the working intensity.

The invention relates to the field of tire production, more particularly to an on-line detection device for steel cord fabric. The on-line detection device comprises an upper film thickness detecting device, a lower film thickness detecting device, a total core fabric thickness detection device and a steel wire levelness detection device. With a laser sensor and an eddy current sensor, online automatic detection of upper film thickness detecting, lower film thickness detecting, total thickness detection, and steel wire levelness of the steel cord fabric is realized. Moreover, the detection device has advantages of simple structure, convenient installation, and high usage security; and convenience is provided for maintenance.

The invention provides a magnetic crushing online automatic test all-in-one machine comprising an equipment body. The equipment body is composed of a film coating section, a magnetic crushing sectionand a test section in turn. The film coating section comprises a film coating mechanism, a tension mechanism, a film coating deviation correction mechanism driven by an automatic deviation correctionmotor, and a film coating servo motor for driving the film coating mechanism and the tension mechanism. The magnetic crushing section comprises a pressing mechanism, a pressure detection system, a tension mechanism and a magnetic crushing deviation correction mechanism driven by an automatic deviation correction motor. The test section comprises an Lcr inductance test mechanism. A feeding mechanism is arranged above the film coating section so as to facilitate the film coating operation. The film coating section, the magnetic crushing section and the test section are on the same horizontal line and arranged in order so as to facilitate overall direction control of the product. The automatic deviation correction device is arranged between the film coating section and the magnetic crushing section and between the magnetic crushing section and the test section so as to control product alignment.

The invention discloses a large-aperture aspheric online contour detection device and a detection method thereof. High-precision contour detection of a large-aperture aspheric mirror can be realized. The device comprises a CCD (charge coupled device) component comprising a plurality of CCDs which are uniformly, symmetrically and fixedly mounted at the edge of the detected mirror, a laser emitting mechanism emits a plurality of laser beams projected to each CCD in a one-to-one corresponding manner, and the CCDs in the CCD component transmit acquired data to a central controller. A target ball is fixed onto a translation mechanism and horizontally moves along the surface of the detected mirror under driving of the translation mechanism. A laser tracker is used for acquiring the data of the position of the target ball and transmitting the acquired data to the central controller. The central controller receives the data acquired by the CCDs, corrects the data acquired by the laser tracker and calculates surface-shape errors. The distance between the laser tracker and a mirror body depends on the vertex curvature radius of the detected mirror, and the larger the curvature radius is, the longer the distance is.

The invention provides a nuclear magnetic resonance spectroscopy method for identifying ultrahigh-temperature sterilized milk and reconstituted milk. The nuclear magnetic resonance spectroscopy methodcomprises the steps: 1) respectively detecting milk samples of the reconstituted milk and the ultrahigh-temperature sterilized milk prepared from whole milk powder by using a nuclear magnetic resonance spectroscopy, and integrating peak area at each chemical shift position; 2) analyzing a principal component of a relative integral result, establishing a partial least square variance analysis model, and determining a characterization factor capable of completely classifying the two milks; and 3) establishing a partial least square variance discriminant analysis model for identifying the ultrahigh-temperature sterilized milk and the reconstituted milk based on the determined characterization factor. By using the method provided by the invention, a nuclear magnetic resonance spectrometer isadopted for measurement, a pretreatment method is simple and easy to operate, the kinds and contents of substances in the two milks can be comprehensively analyzed, the online automatic detection forthe samples is realized, and the sample detection efficiency is greatly increased. An identifying model established by using the nuclear magnetic resonance spectroscopy method is strong in feasibilityand high in accuracy and provides a convenient and practical technical support for the identification of truth of milk products in the future.

The invention discloses an automobile part hardness detection method. A detection system is composed of a bottom platform, a trolley, a portal frame, a hardness measuring head, an indentation measuring head, a grinding device, a scrap suction device, a workpiece recognition device, a motion driving device and a control cabinet. The hardness detection system of the invention can automatically complete all test procedures except for manual feeding and discharging, is accurate in test result and high in detection efficiency, can completely eliminate false detection and missed detection caused byhuman factors, and can be installed on a production line if being matched with a robot feeding and discharging device, thereby realizing the on-line automatic detection of the hardness of the workpiece.

A detection and control system of dyeing liquid composition used on dyeing machine comprises addition unit of dyeing liquid composition, on - line detection unit of reducing agent and pH value for dyeing liquid, sampling pump and computer. It is featured as using potentiometric titration to detect reducing agent concentration in dyeing liquid and pH value of dyeing liquid on - line with set time, comparing obtained value with set value and controlling addition unit to add dyeing liquid according to compared result to keep dyeing liquid composition to be the same as set value for ensuring quality of dyeing.

The invention relates to a water heater liner detection system. The system comprises a liner climbing mechanism for lifting a to-be-detected water heater liner; a liner top-tightening mechanism for fastening the water heater liner; a detection mechanism for detecting the defect of the water heater liner; and a telescoping mechanism for sending the detection mechanism into/out the water heater liner. Through the technical scheme provided by the invention, since the liner climbing mechanism can lift the to-be-detected water heater liner, the liner top-tightening mechanism can fasten the water heater liner, the detection mechanism can search the defects of the water heater liner; the telescoping mechanism can send the detection mechanism into/out the water heater liner; therefore, the onlineautomatic detection of the water heater liner can be realized through the technical scheme disclosed by the invention; compared with the prior art, the entire structure is simple, convenient to control, free from personnel guard, small in manpower input, high in detection accuracy rate, and capable of reducing the product reject ratio and improving the product quality.

The invention relates to a flat-bulb steel ultrasonic automatic flaw detection device and a flaw detection method. The flaw detection device comprises a rack, a bulb automatic tracking detection device, a web automatic tracking detection device, a flaw detection trolley, a track, a flaw detection trolley driving device and a baiting rack; the automatic detection tracking device is arranged on therack, the flat-bulb steel is arranged on the flaw detection trolley, the flaw detection trolley driving device drives the flaw detection trolley and the flat-bulb steel to make reciprocating translational motion along the flaw detection trolley translation track; the bulb probe level direction performs real-time follow-up on the flat-bulb steel bulb plane; the web probe vertical direction performsreal-time follow-up on the flat-bulb steel web plane; the bulb probe automatically and vertically moves to an upper end from a lower end of the bulb, a web probe automatically and horizontally movesto the bulb from an outer end of the web so as to accomplish the flat-bulb steel partition detection; the flat-bulb steel makes reciprocating translational movement along the track to realize the ultrasonic flaw detection full process. The automatic ultrasonic flaw detection of the flat-bulb steel is realized, and the flaw detection rate is high, and the working efficiency is high, and the progress demand for ship construction can be satisfied.