32results about How to "Realize online non-destructive testing" patented technology

A sheet material thickness online detection and adjustment system based on laser ultrasonic comprises a sheet material rolling mechanism and a sheet material thickness online detection mechanism. The sheet material rolling mechanism comprises an upper roller, a lower roller, an upper-lower roller interval adjust mechanism and a PLC control system, the sheet material thickness online detection mechanism comprises an optics system assembly, a high temperature testing meter, a data collection system assembly and a data process system assembly, the data process system assembly transforms bipolar signals which are aliased in peak values and complex in background noise into unipolar signals which are clear in peak values and low in background noise, so that the time that longitudinal wave and transverse wave reach the center of the bottom surface of the sheet material for the first two times is obtained, and thereby the sheet material thickness value is calculated, the measured sheet material thickness value is compared with a preset sheet material thickness value in the PLC control system, the PLC control system transmits forward rotating/backward rotation movement commands to a servo motor, so that the interval between the upper roller and the lower roller is adjusted, and the sheet material thickness value is made to be consistent with the preset sheet material thickness value.

A sheet thickness online measurement system based on laser ultrasound comprises a light path system integration, a high-temperature detection meter, a data acquisition system integration and a data processing system integration, wherein the light path system integration comprises a U-shaped grounding frame, a three-dimensional mobile platform and a control cabinet integrating with a laser transmitter and a light path regulating system; the data acquisition system integration comprises a capacitive displacement sensor, a pre-amplifier and a high-speed data acquisition card, the capacitive displacement sensor is arranged at the first distance position below the alignment position of the bottom surface of a sheet, the data processing system integration converts bipolar signals having aliasing peak values and complex background noise into unipolar signals having clear peak values and low background noise, and therefore the time when longitudinal waves and transverse waves reach the alignment position of the bottom surface of the sheet first two times is accurately obtained, and the thickness of the sheet is calculated. The sheet thickness online measurement system has the advantages that the sheet thickness online measurement system is suitable for online measuring the thickness of the sheet under extreme environments such as high temperature, strong corrosion and high radiation, thickness measurement is accurate, and errors are small.

The invention relates to a multi-channel detection and sorting device of shriveled walnuts. The multi-channel detection and sorting device is composed of a feeding device, a conveying device, an online imaging detection device, an online weighing device, a speed reduction device, an airflow type grading device and a rack. Single-grain feeding is carried out simultaneously on a plurality of channels through the feeding device; the online imaging detection device is mounted above a feeding conveyor belt and walnut image information is acquired in real time; walnut quality information is acquiredin real time through the online weighing device; whether walnuts are the shriveled walnuts or not is judged through a method fusing the walnut image information and the walnut quality information; finally, the shriveled walnuts are removed by utilizing the airflow type grading device. Compared with the prior art, the multi-channel detection and sorting device can realize multi-channel online detection and sorting of the shriveled walnuts, and the commodity quality and market price of the walnuts can be improved, the labor intensity of manually sorting the shriveled walnuts is reduced and theeconomic benefits are improved.

The invention discloses an online detecting method for wizened defects of insides of walnuts. The online detecting method comprises the following steps: acquiring an image of a walnut under a dynamic condition by using an industrial CCD camera, carrying out binarization processing on the image to obtain a projection area of the walnut, and meanwhile acquiring weight information of the walnut under the dynamic condition by using a weighing sensor and a digital acceleration sensor; carrying out regression analysis on the projection area and the weight of the walnut to obtain a walnut weight prediction model, and calculating by using the walnut weight prediction model to obtain predicted weight of the walnut, and calculating relative error between the predicted weight of the walnut and the real weight of the walnut, judging whether the detected walnut is a wizened walnut or not by using the relative error as a judgment threshold value, and breaking the hull to verify judgment accuracy; carrying out regression analysis on different judgment threshold values and judgment accuracies corresponding to the judgment threshold values; and finally, searching a fitting function between the judgment threshold values and the judgment accuracies by using a golden section method, finding out the optimal judgment threshold value, if the relative error of the weight of the detected walnut is greater than the threshold value, determining that the walnut is the wizened walnut, and if the relative error of the weight of the detected walnut is smaller than or equal to the threshold value, determining that the walnut is an abnormal walnut. Nondestructive detection of wizened walnuts can be realized by the projection area of the images of the walnuts and the weight information of the walnuts only, and the method is simple. Compared with the prior art, the online detecting method has the advantages that detecting cost is greatly reduced, detecting speed and accuracy are improved, and the online detecting method is suitable for factory large-scale production, and can be used for online detection of wizened defects of the insides of various nuts such as the walnuts.

The invention discloses a device and a method for detecting a internal fermentation state of a liquor starter piece based on a hyperspectral technology. The method comprises the following steps: acquiring hyperspectral data of a surface of a starter piece, using the hyperspectral data of the surface as a basis for judging internal and external fermentation states of the starter piece; comprehensively processing a picture of the starter piece and spectral information to obtain the hyperspectral data of the starter piece at specific points; combining an optimal hyperspectral data of the starterpiece at a specific band in a database with the hyperspectral data of the starter piece at the specific points, and obtaining the hyperspectral data of the surface of the starter piece at the specificband by deep learning; obtaining fermentation environment parameters of a starter room; judging whether the hyperspectral data of the surface of the starter piece at the specific band is a new type of hyperspectral data, if so, updating an established optimal nonlinear prediction mathematical model in real time and storing the data, if not, directly judging the internal fermentation state of thestarter piece based on the optimal nonlinear prediction mathematical model. The method of the present invention can achieve real-time measurement function of the starter piece under solid-state fermentation.

The invention discloses a method for monitoring a hole roundness error in deep hole drilling in real time. The method comprises the following steps: 1) acquiring a cutter bar vibration signal in deephole drilling in real time; 2) constructing an improved empirical wavelet threshold noise reduction method to be applied to cutter bar vibration signal processing, and realizing extraction and noise reduction of frequency multiplication signals of 8-frequency multiplication or above of the main shaft rotation frequency in the cutter bar vibration signals; 3) calculating the energy sum of the extracted frequency multiplication signals of 8-frequency multiplication or above of the main shaft rotation frequency after noise reduction as a detection index; and 4) monitoring the hole roundness erroraccording to the size of a detection index value. According to the invention,the method has the advantages of being simple, reliable, easy to implement, low in cost, high in real-time performance andthe like, is suitable for monitoring the deep hole roundness error in real time in engineering practice, achieves real-time, online and nondestructive detection of the hole roundness error in deep hole drilling, and has important engineering practical value.

The invention discloses a vortex light beam detector and a preparation method thereof. The vortex light beam detector comprises a first substrate and a second substrate which are oppositely disposed and a cholesteric phase liquid crystal layer disposed between the first substrate and the second substrate. According to the vortex light beam detector, a first alignment film is formed on the side, close to the second substrate, of the first substrate and includes first alignment areas and second alignment areas, and alignment film molecules in the first alignment areas and the second alignment areas are oriented in a vector orthogonal array to form a Daman fork-like grating; a second alignment film is formed on the side, close to the first substrate, of the second substrate and disposed correspondingly to control a spiral structure of cholesteric phase liquid crystals between the two substrates to be twisted at 90 degrees in an array in neighboring areas to form a two-dimensional Daman fork-like grating based on the cholesteric phase liquid crystals, so that wide-band, high-efficiency, on-line nondestructive detection of vortex light beams by the detector is achieved, crosstalk between angular momentum of different tracks is avoided at the same time, and the detection capacity of the detector is increased.

The invention discloses a device and a method for non-destructive identification of a breeding egg. The device comprises breeding egg transporting supports, and chains arranged on the breeding egg transporting supports and used for placing and transporting an egg tray, wherein a detection device used for detecting the development condition of the breeding egg is arranged on the egg transporting supports; the egg tray is driven to horizontally move by the chains and passes through the detection device which is provided with an inlet and an outlet for entry and exit of the egg tray; the positions of the inlet and the outlet are respectively provided with a blackout curtain; and light of an LED lamp bead penetrates through the breeding egg and is received by a light quantity detection deviceto be transmitted to a processor for analysis, so the breeding egg is identified to be a live-embryo egg, an infertile egg or a dead-embryo egg. The device provided by the invention realizes automaticand non-destructive egg irradiation and breeding egg type identification, and has high detection accuracy and efficiency.

The invention discloses a method for detecting the mechanical strength of heat-treated wood, which is used for representing the mechanical strength of the heat-treated wood by measuring the color value of the heat-treated wood and realizing online nondestructive detection of the mechanical strength of the heat-treated wood. Specifically, a color mechanical strength characterization model is constructed by using a support vector machine, and the model construction process comprises the following steps of selecting a heat treatment wood test piece as a training group test piece, and measuring the color value and the mechanical strength of the training group test piece; constructing a heat treatment wood color mechanical strength characterization model based on a support vector machine; organizing a training sample set to train and learn the representation model; determining the color value of the test piece of the test group, organizing the test sample set, substituting into the characterization model, and calculating the mechanical strength; comparing the calculated mechanical strength with the actually measured mechanical strength, and adjusting parameters of the characterization model; and determining evaluation indexes of the characterization model. The method can realize on-line nondestructive detection of the mechanical strength of the heat-treated wood.

The invention relates to a method for non-destructively evaluating a lithium-cobalt molar ratio in a lithium battery electrode, which comprises the following steps of: defining an active material of the lithium battery electrode as lithium cobalt oxide M1-n, selecting a lithium cobalt oxide standard sample M0 with a known lithium-cobalt molar ratio N0,wherein the molar ratio of lithium to cobalt in the lithium battery electrode is N1-n; manufacturing a reference electrode by adopting the same process as the lithium battery electrode, assembling the reference electrode and the lithium battery electrode into a battery according to the same method, then carrying out specific capacity testing under the same condition, wherein the measured specific capacities of the battery are Q0 and Q1-n respectively, and the lithium-cobalt molar ratio in the lithium battery electrode is N1-n = N0 * (Q1-n/Q0). The sample to be tested does not need to decompose the battery, the requirement for the sample amount is avoided, online nondestructive testing can be achieved, and the method is particularly suitable for evaluating the lithium-cobalt molar ratio in the cycle performance testing process. Meanwhile, man-made interference is small, and the operation is convenient. In addition, used reagents are remarkably reduced, and the environmental pollution and pollution emission of a test room are reduced.

The invention discloses an on-line silk thread detection device and an on-line detection method. The on-line silk thread detection device comprises a tension increase and decrease unit and speed testing devices, wherein the tension increase and decrease unit comprises at least one power wheel for providing a stable driving moment or a damping moment; a driving system or a damping system is arranged on each power wheel; both sides of the tension increase and decrease unit are respectively an input end and an output of a silk thread; and the speed testing devices are arranged at the input end and the output ends to directly or indirectly test feeding speeds of silk threads. The on-line silk thread detection device disclosed by the invention is simple in structure, can be arranged in the silk thread processing process, and is capable of achieving on-line nondestructive detection on a whole silk thread section, and preventing the silk threads from being discarded because of detection damage.

The invention discloses equipment and a method for identifying living embryos of hatching eggs through photoacoustic coupling. The equipment comprises a hatching egg conveying device and a hatching egg detection device; the hatching egg detection device is arranged on the hatching egg conveying device; the hatching egg detection device comprises a detection dark box, excitation detection devices,a fixed plate, an air cylinder and a lamp panel; an egg disk with the living embryos is conveyed by the hatching egg conveying device and is subjected to nondestructive detection through the hatchingegg detection device; the air cylinder is arranged at the internal top of the detection dark box; the top end of the fixed plate is connected with the inner top surface of the detection dark box through the air cylinder; the lamp panel is arranged at the inner bottom of the detection dark box; a detection channel is formed between the fixed plate and the lamp panel; and a plurality of excitation detection devices are arranged on the fixed plate. The equipment for identifying existence of the living embryos can automatically identify whether living embryos exist in the hatching eggs, and has high detection precision and high efficiency.

The invention relates to an ash online detection method and equipment for traditional Chinese medicine decoction piece preparation. The equipment comprises a conveying belt for conveying a to-be-detected traditional Chinese medicine decoction piece sample, a ray transmitter and a ray receiver, the ray transmitter and the ray receiver are distributed on two sides of the conveying belt, a ray outletof the ray transmitter faces the ray receiver, the ray transmitter is used for transmitting ray to the traditional Chinese medicine decoction piece sample, the ray receiver is used for receiving a ray signal penetrating the traditional Chinese medicine decoction piece sample, and the ray receiver and a controller are in communication connection. By the online detection method, ash content in traditional Chinese medicine decoction pieces can be measured online in real time through a function relation between the ash content and ray attenuation, sample water content, sample fiber content, sample weight and sample moving speed, and online nondestructive detection of ash content during traditional Chinese medicine decoction piece production.