149results about How to "Fast online detection" patented technology

The invention discloses a fish fillet freshness detection method based on hyperspectral imaging. The method comprises the following steps: measuring fish fillet samples stored for different days according to a traditional national standard method; scanning the hyperspectral information of the corresponding fish fillet samples by utilizing a hyperspectral imaging system, and preprocessing a hyperspectral image; establishing a regression equation between a freshness index TVB-N value and the fish fillet freshness with hyperspectral characteristic wavelength, detecting the fish fillet samples to be detected, and calculating the freshness of the fish fillet samples to be detected. The optimal wavelength is selected and the freshness of the fish fillet samples are rapidly and nondestructively detected by employing the hyperspectral imaging technology, the time required for a traditional method is obviously reduced, the detection efficiency is improved, and the purpose of rapid, nondestructive and online detection can be effectively fulfilled.

It relates to computerized automatic seed quality inspection and screening. The cotton seed selection automatic system comprises feeding hopper, belt wheel, belts, electric motor, conveyer belts, output hopper, receiving hopper, CAM, nozzle, electromagnet, a pair of light box and the computerized processing system collecting and analyzing cotton seed color information, screening disqualified seeds through the control of electromagnet and nozzle. It solves the target seed selection, separation and control with high speed movement.

The invention relates to a multi-parameter field automatic measuring and sorting system. The multi-parameter field automatic measuring and sorting system is provided with a conveyor belt for conveying a cylinder sleeve part to be measured, wherein one side of the conveyor belt is successively provided with an automatic feeding mechanism for automatically transporting each cylinder sleeve part to be measured on the conveyor belt, a first measuring station for carrying out high-precision measurement on a physical dimension and a form and position error of the cylinder sleeve part to be measured, a second measuring station for obtaining the outline information of the cylinder sleeve part as well as an automatic separation mechanism for automatically carrying out classifying selection on the cylinder sleeve parts with different standards according to the measuring results along the length direction of the conveyor belt. The distance between the cylinder sleeve parts on the conveyor belt is the setting distance d, the distance d guarantees that the first measuring station and the second measuring station can carry out the next measurement simultaneously. The multi-parameter field automatic measuring and sorting system provided by the invention has the characteristics of high precision and high efficiency, a workpiece body with the narrow space volume is measured, the high precision measurement is easy to realize, each parameter automatically generate a data report, and the detection data is automatically saved.

The invention discloses a mobile phone curved glass typical defect online detection device and method. The online detection device comprises a work-piece transmission device, wherein the work-piece transmission device comprises a transmission guide rail, a plurality of transparent objective tables, a motion control card and a motor, and a rotating table; a plane part detection device, a curve edgedetection device and a R angle part detection device for forming three stations are orderly arranged along a transmission direction of the work-piece transmission device; the online detection methodperforms previous training learning on the background and scratch, burning, edge breakage, pit and like typical defect sample images through a convolutional neural network, and original images collected at three stations are divided into multiple sub-images consistent with the size of the training sample, the segmented sub-images are quickly identified, thereby judging whether the original imageshave defects or judging the defect variety. The scratch, burning, edge breakage, pit and like typical defect sample images can be online detected in real time, and the detection device has the features of being fast, efficient, precise and stable.

The invention provides an asphalt mixing plant aggregate gradation online detection and overflowing prevention control method and system. The system comprises a plurality of feeding bins, a pluralityof aggregate conveying belts, terminal equipment, a PLC controller, a frequency converter and a plurality of motors, wherein the quantities of the feeding bins, aggregate conveying belts and motors are the same; an aggregate conveying belt is arranged under each feeding bin; a camera obscura is fixedly arranged on a guide rail of each aggregate conveying belt; light equipment is arranged in the camera obscura; an image collector is arranged at the top of the camera obscura; the terminal equipment is connected with the image collector, so as to receive and process collected images; the terminalequipment is connected with the PLC controller, so as to send a velocity ratio required to be achieved by each aggregate conveying belt; the PLC controller is connected with the frequency converter;the frequency converter is connected with all the motors; each motor is connected with an aggregate conveying belt, so as to perform speed control. The system can ensure that aggregate gradation is qualified and matching requirements are met, and can effectively prevent the phenomenon of overflowing during asphalt mixing.

The invention belongs to an on-line aggregate monitoring device. The on-line aggregate monitoring device comprises a sampling module, a sample injection module, a dispersion module and an image acquisition and analysis module, wherein the sampling module is arranged on a feeding conveyor belt, performs sampling at a preset frequency and feeds samples to the sample injection module; the samples reach an image acquisition area of the image acquisition and analysis module through the dispersion module; and the image acquisition and analysis performs feature extraction on acquired images to obtainparameters of aggregate. The machine vision and digital image processing combined technology is adopted to realize rapid on-line detection of the granularity and the grain shape of aggregate, the aggregate grading situation of an aggregate production line can be reflected in time, and economic loss caused by unqualified granularity and quality of fine aggregate is avoided.

The invention discloses an online detection device and an online detection method for machine-made sand. The online detection device comprises a control module, a sampling module, a weighing module, adrying module, a sorting module, a dispersing module, an image collecting and analyzing module and a recycling module. The control module is in signal connection with the sampling module, the weighing module, the drying module and the sorting module respectively. Machine-made sand samples pass the weighing module, the drying module, the dispersing module, the image collecting and analyzing moduleand the recycling module downwardly sequentially along the vertical direction after being acquired by the sampling module, and information, such as particle shapes and diameters, of the returned machine-made sand samples is measured automatically. The online detection device and the online detection method have the advantages that rapid online detection of fineness and shape of the machine-made sand can be realized, grading conditions of the machine-made sand of a machine-made sand production line can be reflected timely, and economic loss caused by sand diameter disqualification of the machine-made sand is avoided.

The invention relates to the technical field of detection, in particular to an evaluation method for the black tea fermentation quality based on a near-infrared spectrum technology. The method comprises the following steps of preparation of black tea samples, collection of spectrum information, measurement of fermentation quality indexes, division of sample sets, pretreatment of spectrum information, screening of characteristic wavelength variables, establishment of a fermentation quality prediction model and prediction of all fermentation quality indexes. According to the evaluation method, sample pretreatment is simple, the fermentation quality can be accurately and quickly identified, the method is high in operability, and influence of subjective consciousness in artificial sensory organ evaluation and complex operation of a traditional chemical analysis method are avoided; the result is objective and accurate, the objectivity and accuracy of the black tea fermentation quality are improved, the theoretical basis is provided for further implementation of an automatic, intelligent and precise fermentation control technology, and the method has great realistic significance and application prospects in detection of tea quality indexes.

The invention provides an aptamer electrode for detecting terramycin. The electrode is characterized in that a glassy carbon electrode is sequentially modified with a graphene-gold nanometer compound and a BSA-OTC compound from bottom to top. A signal layer is methylene blue modified aptamer having a G tetrad structure and folded under an RCA chain amplification reaction, and the content of a target product is reflected through the amount of methylene blue. The invention also provides a manufacturing method of the aptamer electrode. The aptamer electrode has the advantages of simple manufacturing method, stable performances, and good repeatability, and is suitable for terramycin detection in the medicine safety and the industrialized practical application of biosensors.

The invention discloses a device and a method for online detection of water content of plant leaves. The device comprises a detection box, a first electrode piece, a second electrode piece, a frequency measuring device and a computer, an SAM resonance detector and a stabilized-voltage power source are arranged in the detection box, the stabilized-voltage power source is electrically connected with a power source end of the SAM resonance detector, two detection ends of the SAM resonance detector are electrically connected with the first electrode piece and the second electrode piece respectively, an output end of the SAM resonance detector is electrically connected with an input end of the frequency measuring device, and an output end of the frequency measuring device is electrically connected with the computer. The method includes detecting a plant leaf to be detected by the SAM resonance detector, subjecting frequency of signals output by the SAM resonance detector to nonlinear random resonance processing to acquire a feature value M, and substituting the feature value into a water content proportion precasting formula to calculate to acquire the water content of the plant leaf. By the device and the method, the water content of the plant leaves can be quickly and accurately detected in an online and lossless manner.

The invention discloses an electrochemical sensor for detecting isocarbophos and acetamiprid at same time and a method system of the electrochemical sensor; the electrochemical sensor comprises an electrode, a beacon probe layer, a 6-mercaptohexan-1-ol (MCH) closure layer, and a homogenous reaction product layer sequentially from inside to outside; the beacon probe layer is modified with methylene blue and ferrocene having electrochemical signals not mutually affected; a preparation method comprises: polishing the electrode, treating with H2SO4 and H2O2, and modifying the surface of the electrode with a beacon probe. The electrochemical sensor according to the invention is simple to prepare and has good performance stability, the electrode is highly repeatable, and the electrochemical sensor is applicable to the detection of isocarbophos and acetamiprid in terms of food safety and the actual application of biosensor industrialization; the electrochemical sensor can provide quick online detection for isocarbophos and acetamiprid in food, and isocarbophos and acetamiprid detection limits are 0.12 ppb and 0.37 ppb respectively.

The invention relates to a method for detecting seed vitality of cruciferae. In the condition without processing a sample, the concentration of sinapine is used as a vitality marker, the surface desorption atmospheric pressure chemical ionization mass spectrometry (SDAPCI-MS) is adopted, so that the content of the sinapine in the seed of the cruciferae is directly and quickly measured to judge the level of the vitality of the seed. According to the, the analysis speed is quick, the seed can be detected in batch without being damaged, the detected seed can also be used for agricultural production, and the quick and real-time on-line detection of quality of the seed of the cruciferae is realized.

The invention relates to a visible light driving Cu2O/ PPy composite material based microcystins-LR molecular imprinting photo-electrochemical sensor and preparation and application thereof. The visible light driving Cu2O/ PPy composite material based microcystins-LR molecular imprinting photo-electrochemical sensor is characterized in that ITO conducting glass is used as a substrate, and a molecular imprinting film is deposited on the substrate through an electrochemical technology, wherein the molecular imprinting is prepared by compositing a photoelectric material which is a Cu2O semiconductor that can be absorbed within the visible light range and polypyrrole containing microcystins-LR vacancy; the visible light is treated as an excitation light source; the concentration of microcystins-LR is detected by i-t technology through a CHI660e workstation. Compared with the prior art, the microcystins-LR molecular imprinting photo-electrochemical sensor has the advantages of being sensitive to photo-electrochemical response, wide in detection range, capable of detecting within the concentration range of 1.0ng.L<-1> to 10.0 mu g.L<-1>, and high in interference resistance. The preparation method is simple, quick, low in cost, and applicable to quick online detection of water.

The invention provides an intelligent detection and yield optimization method for an HDPE (high density polyethylene) cascade polymerization reaction course, which solves the problems that the HDPE cascade polymerization reaction course is complicated in technology, on-line measurement of a key quality variable is difficult, and the operating cost of a production course is high. The method comprises the steps of preprocessing by adopting data correction and data excavation techniques, searching a rule from production and analysis data, adopting an artificial neural network technique to establish an intelligent soft measuring instrument and a polyethylene product unit consumption model, and adopting an extension engineering technique to optimize an artificial neural network structure and improve the neural network modeling accuracy. The method has the characteristics of high response time, high modeling accuracy, high inferential capability and convenience in management, and assists in ensuring safe production of HDPE, improving the quality of a polymer product, and saving the production cost.

The invention relates to the technical field of industrial automatic measurement, in particular to a cement raw material quality online laser detection device and method. By the adoption of the device and method, the technical problems that quantitative analysis of cement raw material elements is not accurate and real-time detection can not be achieved currently are solved; online detection of the compound constituents and ratio value of a cement raw material in a delivery pipe in an industrial field can be conducted quickly and accurately in real time, influences caused by flow change of a cement air-powder column to be measured are avoided through the cooperation of a continuous laser device and a pulse laser device, and the accuracy of detection results is improved greatly; power stability of lasers emitted by the pulse laser device is effectively guaranteed through a laser powder feedback stabilizing device. The whole device is ingenious in design, detection results are accurate and reliable, and production quality of cement products can be effectively guaranteed.

The invention provides an airplane pneumatic riveting quality online detection device and method and relates to the field of industrial assembly manufacture. The detection device comprises a base, jacking iron, a clamping bolt, a sensor system, a riveting plate, a rivet and a data processing system and is used for precisely collecting parameters in the riveting process, processing the riveting data and evaluating the riveting quality. The invention provides an airplane pneumatic riveting quality online detection method. Clamping and loosing of an emulation plate can be achieved by adjusting a lead screw bolt, a sensor is used for collecting riveting signals in real time, data files are transmitted to an upper computer so that result analysis and evaluation can be carried out, and the basic riveting process, riveting quality evaluation results and pertinence guidance feedback are displayed on a display platform. According to the airplane pneumatic riveting quality online detection device and method, operation is easy, data collection is precise and accurate, the evaluation results and feedback guidance are objective and accurate, the riveting quality evaluation efficiency can be effectively improved, and the quality detection cost can be remarkably reduced.

The invention provides a formaldehyde detection device and method. The formaldehyde detection device comprises a formaldehyde absorption module, a formaldehyde separating and sampling module and a detection module, wherein the formaldehyde absorption module comprises a first pipe body, a liquid feeding pipe and a first water absorption type filling body; the formaldehyde separating and sampling module comprises a second pipe body, a guiding-in pipe and a second water absorption type filling body; the detection module comprises a shading shell, a reaction bed and a photoelectric sensor. According to the formaldehyde detection device, the sensitivity of the formaldehyde detection device is improved and the corresponding speed of the formaldehyde detection device is increased, so that the formaldehyde detection precision and efficiency are improved.

The invention provides a system and a method for on-line heat loss test of groove type high temperature evacuated collector tubes, in order to realize on-line heat loss test of the groove type high temperature evacuated collector tubes. The system comprises the following components: a uniform heating system, a heating control system, an air exhausting system and a leak detection system, a data acquisition and host computer control system. The method for on-line heat loss test comprises the following steps: a) a uniform heating system is installed on a test station of a final assembly line of collector tubes and wires are connected, and the heating control system is connected; b) degree of vacuum in evacuated pipeline is maintained by using vacuum pump sets of the air exhausting system and the leak detection system; c) the collector tubes are heated to a target temperature, and heat loss of the collector tubes in the target temperature is tested; d) after the test is finished, heating is stopped, after cooling, connection between the collector tubes and the vacuum leak detection system is cut off, and the uniform heating system is moved out. The system and the method have characteristics of simpleness and easy operation, and the like, and the performance of single collector tube on the production line can be fed back rapidly.

The invention discloses a photoelectrochemical detection method for the concentration of chloride ions in a water body. According to the chloride ion photoelectrochemical detection method provided bythe invention, a bismuth-based compound film is used as a working electrode, a three-electrode system is constructed by the bismuth-based compound film, an auxiliary electrode and a reference electrode, and a heterostructure formed by BiOCl generated on the surface of an electrode material in situ and an original electrode material has enhanced photoresponse current under illumination. The determination of the concentration of the chloride ions in the water body is realized by utilizing the one-to-one correspondence relationship between the photoresponse current and the concentration of the chloride ions in the water body. The chloride ion detection method provided by the invention is environment-friendly, simple to prepare, low in cost, high in sensitivity, strong in selectivity and widein detection range, and can be widely applied to detection of the concentration of chloride ions in media such as water bodies and human blood.

The invention discloses a biosensor for detecting escherichia coli. The biosensor orderly comprises a gold electrode, a glutaraldehyde-escherichia coli antibody layer, a bovine serum albumin sealing layer, an escherichia coli layer and a RCA product layer from inside to outside. The invention discloses a preparation method of the biosensor. The biosensor has stable electrode performances, good repeatability and a detection limit of 1.6*10cfu mL(-1).

The invention provides a path planning method for cooperatively monitoring atmospheric pollution of a port ship by a shipborne unmanned aerial vehicle, and belongs to the technical field of the shipping industry and the environmental protection industry, and the method comprises the steps of making an assumption based on the monitoring complexity of the unmanned aerial vehicle on a running ship; based on the made hypothesis, defining a cooperative monitoring problem of the unmanned aerial vehicle and the loading ship; constructing a path planning model for cooperatively monitoring the atmospheric pollution of the port ship by the shipborne unmanned aerial vehicle; based on an improved artificial bee colony algorithm, expanding the search range of a food source neighborhood, and obtaining a global optimal path. According to the invention, a loading ship is used for carrying a plurality of unmanned aerial vehicles to cooperatively monitor the atmospheric pollution condition of a to-be-monitored ship in a port area, and a specific scheme for cooperative monitoring of the ship and the unmanned aerial vehicles is provided. According to the invention, execution of related emission regulations can be assisted, pollution of a ship to a port environment is reduced, comprehensive cruise cost is reduced, marine pollution disposal efficiency is improved, and maritime cruise monitoring and comprehensive law enforcement capabilities are improved.

The invention discloses fusion heparinase which is the protein of the following a) or b): a) the protein formed by the amino acid sequences shown by No.8-No.1015 in a sequence 1 in a sequence table; b) the protein which has heparinase activity and is derived from a) by substitution and/or deletion of one or more amino acid in and/or addition of one or more amino acid to the amino acid sequences in the sequence 1 in the sequence table. The coding gene of the protein also belongs to the scope of protection of the invention. The enzyme activity of the triple fusion protein generated by the invention can reach 1214.4IU/L culture medium by shaking culture and the specific activity can reach 2.839IU/mg protein. The invention can employ GFP to realize quick online detection of thalli concentration and enzyme activity.