31results about How to "Rapid Batch Detection" patented technology

The invention discloses a method for detecting orientation of large-sized crystal grains. The method mainly comprises the following steps of: establishing and storing a database; combining the colors of the crystal grains and crystallographic data by an electron backscatter diffraction pattern (EBSP) technology; establishing the correspondence between the colors and the crystallographic data; recording corrosion conditions of different metal materials and differently-oriented crystal grains; quickly retrieving the database to search a corrosion state after a large number of samples to be detected are obtained; corroding according to the same corrosion mode; and recording the colors of the crystal grains corresponding to the orientation, which accords with the conditions, of the database under the conditions of the same light source and the same viewing angle to finally realize quick and batch orientation detection of the crystal grains. In the method, the specific color of the differently-oriented crystal grains is obtained through observation under fixed conditions by quantitatively calculating the surface energy of the crystal grain orientation and proper corrosion time, and quick and batch orientation detection of a large-sized polycrystalline material is realized corresponding to the scanning of the database so as to determine the performance of the material.

The invention discloses a method for determining ethylene glycol monomethyl ether, glycol ether, ethylene glycol ether acetate, glycol and diglycol in food wrap paper. The method disclosed by the invention comprises the following steps of: weighing and placing shredded food wrap paper into a container, adding a methanol extraction solution containing internal standard substances into the container, carrying out ultrasonic extraction, filtering extract liquor by virtue of a filter membrane, detecting filtrate by adopting a gas chromatography / mass spectrometer, monitoring in a selected ion mode and quantifying, and obtaining the contents of ethylene glycol monomethyl ether, glycol ether, ethylene glycol ether acetate, glycol and diglycol in the food wrap paper. The method disclosed by the invention has the advantages of simple pre-treatment, easiness in operation, good separating effect, accurate determination, short sample analysis time and high determination sensitivity and can realize accurate batch determination on five components in the food wrap paper at the same time.

The invention relates to a testing unit for a straight welded pipe, in particular to an automatic magnetic particle testing unit for toe cracks at inner wall of the straight welded pipe, comprising a car body consisting of a sweep template, a driving wheel, a stop block, a supporting plate, universal wheels and a guide bar which are connected with each other coaxially, and a rotary bearing, a driving motor, a control part, a steering engine, a position switch arranged on the two ends of one end of the car body, and a transformer bearing, a camera bearing, a sprayer bearing, a crossed yoke, an ultraviolet lamp bearing, and a water pump water tank bearing which are successively arranged on the top of the sweep template from left to right, wherein, the upper end of the stop block is fixedly connected with the two sides of the rear end of the sweep template bottom in parallel, the output end of the steering engine is fixedly connected with the universal wheels through the guide bar, the upper end of the rotary bearing is fixedly connected with the two sides of the rear end of the sweep template bottom in parallel, the lower end of the rotary bearing is fixedly connected with one end of the supporting plate, the other end of the supporting plate is fixed connected with the sweep template bottom, and output shaft of the driving motor is respectively connected with the two driving wheels fixedly. The invention can completely takes the place of manual work to carry out automatic magnetic particle testing, and has the advantages of compact structure and convenient operation.

The invention relates to a method for measuring 3-acetyl-2, 5-dimethyl thiophene in edible flavor and fragrance. The method comprises the steps of selecting an absolute ethyl alcohol ultrasonic extraction sample containing an internal standard for use in the pretreatment process, enabling extract liquor to directly enter a gas chromatograph-mass spectrometer for measurement after the extract liquor passes through a filtering membrane, detecting in an ion mode, and quantifying by an internal standard method. The method for measuring 3-acetyl-2, 5-dimethyl thiophene in edible flavor and fragrance by the gas chromatograph-mass spectrometer is simple in sample treatment, easy to operate, low in detection cost, good in repeatability and high in recovery rate, and is capable of rapidly and accurately measuring the content of 3-acetyl-2, 5-dimethyl thiophene in flavor and fragrance in batches; furthermore, harmful and toxic chemicals are not used in the experiment process, so that the method is less in harm to an operator and free from pollution to environment.

The invention provides an optical fiber switch rapid self-test method and device. Optical modules are mounted on optical fiber switch interfaces, the optical modules and the optical fiber switch interfaces are interconnected in pairs through cables, and a self-test command is performed to carry out self-test on function states under optical fiber switch CLI. The self-inspection on the function states comprises the process of checking the states of optical fiber switches before the self-test; testing the state of carrying out cyclic transceiving on sending data frames of own ports of the switches; testing functions of switch backboards, FC cables and optical modules; and testing whether all port LED indicator lamps are normal or not. According to the method and the device, the cost of a special test device is saved for a company; the test operation specialty is low, so the method and the device can be performed by personnel of any posts; rapid batch test can be realized; the working efficiency is improved; and the batch application and popularization can be carried out on the method and the device.

The invention discloses a method for accurately determining the rosin softening point by a temperature programming headspace gas chromatography. Some volatile impurities are contained in rosin solid;when rosin melts, the volatile impurities can fast escape. By the temperature programming headspace gas chromatography, the volatile impurities are determined; the relationship of the temperature andimpurity signals is drawn; the turning point of signal change in the curve is the rosin softening point. The method has the advantages that the determination is fast; the result is objective and accurate; the operation is simple and convenient; the batch detection on the rosin softening point can be realized; the method is suitable for being used under the factory practical production condition and accurately determining the rosin softening point by the headspace gas chromatography in laboratories. The defects of complicated instruments, great errors, low efficiency, great popularization difficulty and the like of the existing method for determining the rosin softening point are overcome.

The invention discloses a full-range C-reactive protein detection kit. The content of C-reactive protein in a sample is detected by an immune transmission turbidimetry method, so that the aim of quantitative detection is fulfilled. The kit comprises a reagent R1 and a reagent R2, wherein the reagent R1 is a phosphate buffer solution; and the reagent R2 is a conjugate formed by crosslinking latex with two particle sizes and two anti-human C-reactive protein antibodies respectively. Meanwhile, the kit is combined with a full-automatic biochemical analyzer for use, so that the detection sensitivity and accuracy are improved, and the detection time is shortened. The full-range C-reactive protein detection kit can be used for measuring the content of high-concentration CRP (C reactive protein)and the content of low-concentration CRP, has high sensitivity, high stability, wide linear range, high repeatability, high interference resistance, high accuracy and high precision, and can meet theclinical examination requirement.

The invention discloses a method for detecting trace impurity elements in tungsten carbide powder. The method specifically comprises the steps of: adopting an inductively coupled plasma mass spectrometry method for determining 18 impurity elements such as magnesium, aluminum, calcium, titanium, vanadium, chromium, manganese, iron, cobalt, nickel, copper, arsenic, molybdenum, cadmium, tin, antimony, lead and bismuth simultaneously and quickly, wherein the determination lower limits of the impurity elements are all less than 0.0001%. The method effectively solves the problem of interference of large amount of insoluble free carbon during wet decomposition of tungsten carbide through oxidizing a tungsten carbide sample into tungsten trioxide in a high-temperature furnace and then digesting the sample with aqueous ammonia, eliminates the matrix suppression effect by adopting a tungsten matrix matching working curve, and carries out determination by adopting an inductively coupled plasma mass spectrometer. The method is simple in operation, detects many elements, has fast detection speed, is low in determination lower limit, achieves the trace amount level, is high in analysis precision, and is suitable for mass production analysis of high quality or high purity tungsten carbide.

The invention discloses a gene chip and a detection method thereof. The gene chip provided in the invention can simultaneously carry out universal screening of Avian influenza viruses in one chip chamber, discriminate subtypes of Avian influenza viruses like H4, H5, H6, H7, H9, N1, N2, N9 and the like, and detect Newcastle disease virus and EDS-76.

The invention discloses a method and system for detecting line quality problems of a broadband access network. The detection method includes the following steps that on-line data packs of broadband users are captured on links of a kernel layer or a convergence layer of an IP metropolitan area network through collection equipment; TCP data streams of each broadband user are tracked, the TCP pack total number A and the TCP repeated pack number B of each user are calculated, the TCP repeated pack rate Nr which is equal to the result that A is divided by B is calculated, and then the corresponding relationship between IP addresses of the broadband users and the Nr is recorded; the TCP repeated pack rate Nr of each broadband user is checked, if Nr is larger than Tr, the IP address of the corresponding user is recorded in an abnormal line user database, and otherwise, the IP address of the corresponding user is recorded in a normal line user database; Tr is a set threshold of the TCP repeated pack rate; the IP addresses of all users of the abnormal line user database are output. According to the method and system, the TCP repeated pack rate of each broadband user is calculated, and accordingly the broadband user whose broadband access line has quality problems is found.

The invention belongs to the technical field of gear shaft hole depth detection equipment, and particularly relates to a detection tool for detecting a deep hole length of a gear shaft. The detectiontool comprises cylindrical go-gauge detection tool and non-go-gauge detection tool which are used in a matched mode; the go-gauge detection tool is composed of a go-end reference part, a go-end firstneck part, a go-end upper positioning part, a go-end second neck part and a go-end lower positioning part which are formed integrally; and the non-go-gauge detection tool comprises a non-go-end reference part, a non-go-end first neck part, a non-go-end upper positioning part, a non-go-end second neck part and a non-go-end lower positioning part which are formed integrally. The detection tool is simple in structure and convenient to use; the corresponding go-gauge detection tool and non-go-gauge detection tool can be made according to the deep hole length and the adjacent hole diameter designedfor the gear shaft; rapid batch detection can be carried out on the gear shaft of the type, so that whether the deep hole depth of the produced gear shaft meets the design requirement or not is determined; the practice proves that the go-gauge detection tool and the non-go-gauge detection tool are matched well; and the detection precision completely meets the industrial requirements.

The invention discloses a high-speed short circuit testing device for a lithium battery. The high-speed short circuit testing device comprises a base, wherein a movable slot is formed at the middle ofthe top end of the base along the width direction of the base; vertical springs are equidistantly connected in the movable slot along the length direction of the movable slot; the top end of each spring is connected with a movable plate; symmetric sliding blocks are arranged on the two sides of the movable plate respectively; symmetric sliding chutes are arranged in the side walls of the base atthe movable slot respectively; the sliding chute is in slip connection with the sliding block; electrical contacts are connected with other two side walls of the base at the movable slot respectively;two motor mounting slots with the same structure are formed at the top end of the base; the two motor mounting slots are positioned on the two sides of the movable slot and are arranged in skew symmetry. With a novel structure, the device disclosed by the invention can perform fast batch detection on the finished products of lithium battery, and thus increases the test speed, reduces the defective rate of the lithium batteries and improves the production efficiency, being suitable for popularization.

The invention discloses a tea amino acid content determination method based on colorimetric capsule image recognition, and belongs to the field of food detection. The method comprises the following steps: (1) preparing a chromogenic reaction reagent phosphate buffer solution and a ninhydrin solution, and freezing and curing the solutions into a plurality of fixed amounts of unit blocks to obtain acapsule 1 and a capsule 2; (2) taking a tea sample as a hot water extracting solution; (3) melting the capsule 1 and the capsule 2, and reacting with the tea extracting solution to obtain a sample developing solution; (4) photographing and collecting a sample developing image, and extracting RGB data of the image; and (5) inputting the image data into a standard concentration model, and operatingto output an amino acid predicted concentration value; wherein the standard concentration model takes a glutamic acid as an amino acid standard solution, and a mathematical model of a concentration-image is established. According to the method, a model corresponding to the standard concentration and the image is established, the amino acid content is predicted through image recognition, and the free amino acid content in the tea can be rapidly and accurately obtained.

The invention provides a fully automatic detection method for a microwave oven timer. The detection equipment is provided, and the equipment includes several timer detection sub-modules, which are used to fix the microwave oven timer and electrically connect with the microwave oven timer, and output detection signals; control the electric cabinet, It is used to provide the power supply of the timer detection sub-module, receive the detection signal output by the timer detection sub-module, time the on-off time of the detection signal, and realize the detection of the power distribution function and timing function of the microwave oven timer; and the display screen; The display screen is connected to the control electric cabinet; each timer detection sub-module includes a base for fixing the microwave oven timer; the base is set on the control electric cabinet, and a detection circuit electrically connected to the microwave oven timer is arranged inside; the detection circuit and the control The electric cabinet is connected, and is composed of a power module and a detection board connection. The invention can realize rapid and accurate batch detection of microwave oven timing, thereby improving detection efficiency and detection accuracy.

The invention relates to a method for determining a content of niobium, tantalum, phosphorus, manganese, silicon, aluminum and copper in ferroniobium alloy. The method comprises the following steps: S1, manufacturing a crucible, selecting a platinum crucible, and forming a protective film on an inner wall of the platinum crucible; S2, drawing a ferroniobium analysis curve by utilizing a standard sample; and S3, determining an element content of a purchased production sample, putting a production determination glass fuse piece into an X-ray fluorescence spectrometer for determination, and comparing with the ferroniobium analysis curve in the step S2 to determine the content of each element in the production sample. The method has characteristics of high analysis precision, a high analysis speed, capability of simultaneously analyzing a plurality of detection items and the like; and a problem that a platinum gold crucible is easy to being corroded by alloy simple substance elements and cannot be detected is effectively solved.

The invention belongs to the field of dairy cow performance determination and milk quality detection, and particularly relates to an intermediate infrared spectrum rapid batch detection method for the content of free lysine in milk. In the aspect of selection of characteristic wave bands, the applicant breaks through a common method for screening characteristics by using an algorithm, and a manual selection and multiple traversal method is used. Finally, the characteristic absorption wave band of lysine is selected. Through comparison, it is confirmed that the modeling effect is better when the average spectrums measured twice of the same milk sample are selected for modeling, the optimal preprocessing and algorithm combination established by the lysine model is selected, the optimal parameters are determined, and the accuracy of the model is improved. The method realizes rapid, accurate and low-cost detection of the lysine content in the raw milk, and can be widely applied to dairy cow performance determination and milk quality detection.

The invention discloses a method for detecting orientation of large-sized crystal grains. The method mainly comprises the following steps of: establishing and storing a database; combining the colors of the crystal grains and crystallographic data by an electron backscatter diffraction pattern (EBSP) technology; establishing the correspondence between the colors and the crystallographic data; recording corrosion conditions of different metal materials and differently-oriented crystal grains; quickly retrieving the database to search a corrosion state after a large number of samples to be detected are obtained; corroding according to the same corrosion mode; and recording the colors of the crystal grains corresponding to the orientation, which accords with the conditions, of the database under the conditions of the same light source and the same viewing angle to finally realize quick and batch orientation detection of the crystal grains. In the method, the specific color of the differently-oriented crystal grains is obtained through observation under fixed conditions by quantitatively calculating the surface energy of the crystal grain orientation and proper corrosion time, and quick and batch orientation detection of a large-sized polycrystalline material is realized corresponding to the scanning of the database so as to determine the performance of the material.

The invention discloses a tea amino acid content determination method based on colorimetric capsule image recognition, which belongs to the field of food detection. The method comprises: (1) preparing color reaction reagents, phosphate buffer solution and ninhydrin solution, respectively freezing and solidifying into several fixed-quantity unit blocks to obtain capsule 1 and capsule 2; (2) tea samples being hot water Extraction solution; (3) melt capsule 1 and capsule 2, and react with tea extract to obtain sample color development solution; (4) take pictures to collect sample color development images, and extract image RGB data; (5) input image data into standard concentration model , run and output the predicted concentration value of amino acid; the standard concentration model uses glutamic acid as the amino acid standard solution, and establishes a mathematical model of the concentration-image. The invention establishes a model corresponding to the standard concentration and the image, predicts the content of the amino acid through image recognition, and can quickly and accurately obtain the content of the free amino acid in the tea.

The invention belongs to the field of dairy cow performance determination and milk quality detection, and particularly relates to an intermediate infrared spectrum rapid batch detection method for A2 type beta casein in milk. In the aspect of selection of characteristic wave bands, a common method of screening characteristics by using an algorithm is broken through, and a manual selection and multi-time traversal method is used. And finally selecting a characteristic wave band for modeling. According to the method, the optimal preprocessing and algorithm combination established by the A2 type beta-casein model is selected, the optimal parameters are determined, the accuracy of the model is improved, and the rapid, accurate and low-cost detection of the A2 type beta-casein content in the raw milk is realized.

The invention belongs to the field of dairy cow performance determination and milk quality detection, and particularly relates to an intermediate infrared rapid batch detection method for the content of free isoleucine in milk. In the aspect of selection of characteristic wave bands, the applicant breaks through a common method for screening characteristics by using an algorithm, and a manual selection and multiple traversal method is used. And finally, selecting a characteristic wave band for modeling, particularly screening out an absorption area containing part of water, and proving that the accuracy of the model can be improved by increasing part of the water absorption wave band. And the same milk sample is selected to measure the first spectrum MIR for modeling, so that the model accuracy of single spectrum measurement data modeling is improved. The optimal preprocessing and algorithm combination established by the isoleucine model is selected, the optimal parameters are determined, and the accuracy of the model is improved. And rapid, accurate and low-cost detection of the content of isoleucine in the raw milk is realized.

The invention provides microwave oven timer full-automatic detection equipment and detection method. The equipment comprises a plurality of timer detection sub-modules which are used for fixing a microwave oven timer, are electrically connected with the microwave oven timer, and output a detection signal; a control electric cabinet which is used for providing a power supply for the timer detection sub-module, receiving the detection signal outputted by the timer detection sub-module, timing the on-off time of the detection signal and detecting the power distribution function and the timing function of the microwave oven timer; and a display screen. The display screen is connected with the control electric cabinet; each timer detection sub-module comprises a base for fixing the microwave oven timer; the base is arranged on the control electric cabinet, and a detection circuit electrically connected with the microwave oven timer is arranged in the base; the detection circuit is connected with the control electric cabinet and is formed by connecting a power supply module and a detection board. According to the invention, the microwave oven can be quickly and accurately detected in batches at regular time so that the detection efficiency and the detection accuracy are improved.

The invention belongs to the field of performance determination and quality detection of buffalo milk, and discloses a mid-infrared spectrum detection method for protein content in buffalo milk and application. In the aspect of selection of characteristic wave bands, the applicant breaks through a common method for screening characteristics by using an algorithm, and uses a manual selection and multiple traversal method. And finally, selecting a characteristic wave band for modeling, particularly screening out an absorption area containing part of water, and proving that the accuracy of the model can be improved by increasing part of the water absorption wave band. The optimal algorithm and the optimal characteristic wave band established by the quantitative prediction model of the protein in the buffalo milk are selected, the accuracy is very high, and rapid batch detection of the protein content in the buffalo milk is realized.

The invention relates to a rubber deformation detection device, comprising a base plate, the upper end of the base plate is connected with an upright post, the lower end of the base plate is connectedwith a supporting leg, a cover plate is fixed on the upright post, a pad is arranged on the base plate, a gauge synchronizing block is placed on the pad, a weight is supported on the upper end surface of the gauge synchronizing block, the weight is connected with a steel wire rope component, and the upright post is connected with a transmission mechanism which can be wound by the steel wire ropecomponent and lifts the weight along a vertical line; a dial gauge with a measuring head passing through the base plate, the pad and the gauge synchronizing block is arranged on the base plate, and atightening screw used for adjusting a position of the dial gauge and supporting the measuring head on the weight is also arranged on the base plate. The rubber deformation detection device provided bythe invention solves the problem that deformation detection of a rubber test piece is difficult, has the advantages of small size, low cost and easy operation, can realize rapid mass detection on rubber test pieces and is high in detection sensitivity, stable and reliable in work and beneficial to reduction of imperfect rate of products, so that production and processing of the rubber test piecesare greatly facilitated.

The invention provides a pituitary stalk interruption syndrome biomarker, which is selected from one or more of pregnenolone sulfate, L-saccharin, MG(18:2(9Z,12Z) / 0:0 / 0:0), heneicosanoic acid, glyceryl monostearate, hydroxyphenyllactic acid, D-Lyxose, inositol, D-aspartic acid and PA(18:1_22:6). The invention further provides a determination method of the marker and application of the marker in preparation of a kit and / or a reagent for diagnosing pituitary stalk interruption syndrome. The invention creatively provides a concept of diagnosing the pituitary stalk interruption syndrome through using the biomarker, provides the pituitary stalk interruption syndrome biomarker and the specific determination method and application thereof, provides more choices and supports for diagnosis and research of the pituitary stalk interruption syndrome, is low in cost and easy to operate, and can carry out rapid batch detection.