414results about How to "Simple detection operation" patented technology

The invention relates to a quantitative detection device based on fibrous-membrane gathering and separation and a detection method thereof. The quantitative detection device comprises a separation testing cup, a reaction cup, an analysis buffer solution and a cleaning solution; wherein the separation testing cup comprises a receiving tank, a water absorption cup and millipore filters between them. A capture agent and a labeling agent are solidified on the bottom of the reaction cup and the capture agent is fixed on the surface of latex beads. The detection method comprises: conjugation reaction, separation, cleaning and detection. In the invention, not only the characteristics of convenient operation and rapid detection of immune infiltration (IF) and immunochromatography (IC) are maintained, but also precision and sensitivity of the detection are obviously better than that of IF and IC. Therefore, quantitative immunodetection and nucleic acid hybridization analysis can be implemented effectively. The invention can be used for the quantitative detection of substances such as protein, nucleic acid, small molecule and microbe.

A method of using an electronic nose for detecting freshness of river crucian carp includes the steps: (1) placing river crucian carp samples to be detected into a sample container, sealing and standing for 20-40min at the room temperature; (2) inserting a filtered gas probe of the electronic nose into the sample container for 40-60s, and collecting top gas; (3) enabling the gas to enter a gas sensor array for detection and analysis; and (4) collecting and storing related data of gas according to the specific process: (4-1) extracting response characteristic values of the gas sensor array, wherein the response characteristic values include an initial value, a stable value, rise time and rise rate; (4-2) curing a non-linear stochastic resonance algorithm into a digital signal processor internally arranged in the electronic nose, and inputting the original response characteristic values of the electronic nose into a DSP (digital signal processor) and outputting a signal-to-noise-ratio spectral characteristic value by computing; and (4-3) computing a freshness value of the river crucian carp according to a freshness prediction model and the signal-to-noise-ratio spectral characteristic value. The method is simple, convenient, rapid and effective.

The invention provides an electric device fault detecting system which comprises an acquisition module, a fault diagnosis device, a diagnosis monitoring device and a warning device. The acquisition module is used for acquiring parameter information to be detected of an electric device. The fault diagnosis device is used for adjusting a preset range of standard parameter information and/or controlling the warning device to send prompting information to a worker according to the parameter information to be detected. The diagnosis monitoring device is used for monitoring diagnosis data, curves and a device state. The electric device fault detecting system automatically conducts real-time monitoring on the fault situation of the electric device, improves detection efficiency, avoids production accidents, uses the fault diagnosis device to automatically adjust the preset range of the standard parameter information memorized internally according to a detected result, enables the working state of the electric device to form a closed loop monitoring, can timely recognize abnormal state and faults, sends the device fault prompting information to the worker in real time, does not need to shut down the electric device and ensures normal work of other devices.

The invention discloses a method and a device for detecting an abnormal current of a circuit. The method comprises the following steps of: locating a specific position with abnormal current consumption by detecting an input current of an electronic product; adjusting the voltage of a precise power supply of the electronic product, observing the change situation of the current consumed by the product along with the input voltage, and quickly distinguishing that the abnormal current occurs in an LDO (Low Drop Output) circuit, a DC-DC switch power supply circuit or a direct battery-powered circuit. Furthermore, for a complex multipath LDO circuit, the current consumption on each path of the LDO circuit can be measured by an external power supply forced substitution method. The invention can simplify detection operations, shorten the detection time, reduce the analysis difficulty and increase the efficiency of detecting abnormal current in circuits and the detection success rate.

The invention discloses a chiral metal organic framework polymer {[CuL] 2(H2O)} n sensor based on a chiral metal organic framework polymer, and a preparation and application thereof. An ultrasonic method is adopted for preparation; the method comprises the following steps: preparing chiral metal organic framework polymer crystal {[CuL] 2(H2O)} n, and carrying out thermal dehydration on the chiral metal organic framework polymer crystal {[CuL] 2(H2O)} n to obtain a chiral metal organic framework polymer {[CuL] 2} n; modifying an electrochemical chiral working electrode by using the {[CuL] 2} n to obtain the chiral metal organic framework polymer sensor; the sensor is used for detecting the content of enantiomers of D-(+)-tryptophan and L-(-) tryptophan. The chiral sensor prepared based on the material is simple in preparation method and easy to operate, and has a remarkable technical effect.

A method of using an electronic nose for detecting freshness of tilapia includes the steps: (1) respectively placing back and belly samples of tilapia to be detected into a sample container, and standing for 20-40min at the room temperature; (2) inserting a sample injection pinhead of the electronic nose into the sample container at the normal temperature, inserting an air filter filled with activated carbon into the sample container to balance air pressure, starting the electronic nose, and enabling the electronic nose to suck gas given out by the standing samples inside; (3) detecting the gas given out by the samples by the aid of a gas sensor array inside an electronic nose gas chamber, wherein detecting time is 40-60s, and cleaning time is 3-8min; (4) setting an experimental period interval as 10-12 hours; and (5) collecting data acquired by the gas sensor array, performing data processing for the acquired data, and computing so that a freshness value of the tilapia is obtained. The method is simple, convenient, rapid and effective.

The invention provides a probe based on double-signal amplification triggered by a target and application of the probe. The probe comprises a first hairpin, a second hairpin and a third hairpin, wherein the first hairpin, the second hairpin and the third hairpin are formed by pairing hybridization of complementary bases in folding areas after single-chain linear molecules are folded back; the parts, forming double-chain structures in the partial areas, of the hairpins are stem areas, and the parts, not forming the double-chain structures and folded back, are ring-shaped areas. According to the probe provided by the invention, the self-assembly of hairpins is realized through target protein catalysis, signal amplification is achieved under the assistance of an excision enzyme III, obvious amplification of a detection signal is realized, and the detection sensitivity is greatly improved further; since the probe does not depend on template replication in the detection process, the problem that false positive occurs due to cross contamination in the detection process is avoided, generation of a false positive signal is effectively prevented and background noise is reduced greatly.

The invention discloses a noncontact detecting based multi-target human respiratory signal monitoring method and device. The method comprises the following steps: 1) detecting a target area through a noncontact detecting system to obtain a target signal containing a multi-target human respiratory signal; 2) separating the obtained target signal based on a window averaging-empirical mode decomposition algorithm to obtain a plurality of mode components; 3) performing spectral analysis on each obtained mode component; screening to obtain human respiratory signals based on the spectral analysis result; recognizing each screen human respiratory signal to obtain respiratory signals corresponding to different target human bodies. The device comprises a signal detecting module, a WA-EMD signal separating module and a multi-target signal recognizing module. The method and the device have the advantages that the method is simple; the multi-target human respiratory signals can be effectively separated and monitored; the mode mixing resistance is high, and the noise resistance is high; in addition, the separating accuracy and the separating efficiency are high.

The invention provides a method for detecting the interface binding strength of an aluminum-steel composite material for soldering. The method can be used for accurately detecting the aluminum-steel interface binding strength and quantifying the interface binding effect of the aluminum-steel composite material for the soldering. The method comprises the following steps: firstly, preparing a test sample of the aluminum-steel composite material and carrying out a stripping test on the test sample; and calculating according to a test result to obtain a binding strength value of an aluminum-steel interface. The method is characterized in that the preparation of the test sample comprises the following steps: soldering and connecting a metal reinforced layer on the surface of an aluminum layer of the sample and forming a compound layer by the metal reinforced layer and the aluminum layer of the sample. The binding strength of the metal reinforced layer in the compound layer and the aluminum layer of the sample is greater than the binding strength of the aluminum-steel interface; in the stripping test, the compound layer and a steel layer in the sample are stripped by a tension tester.

The invention relates to a technical method for preparing a nano-cerium complex and utilizing the nano-cerium complex to detect antipodes by electrochemical chiral sensing, belonging to the technical field of nano materials and chiral electrochemistry. The technical method takes cerium nitrate, a ligand, a solvent and an alkaline water solution as raw materials and a sol-gel method is adopted to prepare a nano cerium complex with the grain diameter of 30nm-50nm; and a nano cerium complex chiral sensor working electrode and an electrochemical chiral sensor are prepared from the nano cerium complex and are used for detecting the content of D-(+)-tryptophan and L-(-)tryptophan antipodes. The technical method provided by the invention has the beneficial effects that a preparation method of the nano cerium complex is simple and convenient and is low in energy consumption; the chiral sensor is prepared based on the material and the method is simple and easy to operate; and the detection of the content of the D-(+)-tryptophan and L-(-)tryptophan antipodes has a rapid responding speed and good selectivity.

The invention discloses a polarization SAR image target detection method. The method mainly solves the problems that an existing detection method depends on energy, and the false alarm rate is high. The method comprises the implementation steps that two types of training samples including targets and clutter are selected, and feature extraction and energy normalization are carried out; a polarization dictionary learning target function is defined, and supervised learning is carried out on a polarization dictionary which can differentiate the clutter and the targets; polarization feature extraction and energy normalization are carried out on a tested image; sparse coding is carried out on a tested feature vector through the polarization dictionary; the reconstruction error proportion of the feature vector under a clutter sub-dictionary serves as test statistics; the test statistics is compared with a threshold, pixels larger than that threshold are determined as the targets, other pixels are determined as the clutter, and target detection is completed. According to the polarization SAR image ship target detection method, target detection is carried out only through polarization information, and the method has the advantages that robustness is good, the false alarm rate is low, and weak targets can be detected, and the method is applicable to polarization SAR image target detection when the contrast ratio of the targets to the clutter is low.

The invention discloses a detecting device of a solar battery component. The detecting device comprises a bottom plate, a supporting frame, a reflecting mirror, a lifting frame and a controller, wherein the supporting frame is arranged on the bottom plate; the reflecting mirror is arranged on the supporting frame; the lifting frame is arranged on the bottom plate and can be used for placing the solar battery component to be laminated; the part of the lifting frame for placing the solar battery component to be laminated corresponds to the reflecting mirror in the vertical direction, and is positioned above the reflecting mirror; the controller controls starting and stopping of the lifting frame. The detecting device disclosed by the invention has the advantages that the lifting frame with a lifting function is adopted for replacing the manual lifting of the solar battery component to be laminated, and the reflecting principle of the reflecting mirror is utilized for replacing a detection mode that an operator directly looks up to check the bottom surface of the solar battery component to be laminated, so that the detection process saves time and labor, the operator can detect the solar battery component to be laminated by directly looking down to watch the reflecting mirror, the operation difficulty is reduced, the detection operating process of the operator is simplified, and the working efficiency and the detecting accuracy are increased.

The invention discloses an analyzing method and an analyzing system for a medical image and a storage medium. The analyzing method for the medical image is realized by a computer, and is characterizedby comprising the following steps: performing feature extraction on the medical image for training, wherein the medical image for training is provided with a tumor character label; utilizing extracted features and labels as a training dataset, and using an Adaboost method to perform iteration on an LR weak classifier, thereby obtaining an LR strong weak classifier. Therefore, the invention provides a machine learning classifying method realized through the computer, and the machine learning classifying method can accurately and efficiently model and determine whether features of tumors are bad or good, so that diagnosis reference is provided for a doctor.

The invention discloses an LED detection device, which is applied to an LED display terminal, wherein the LED detection device comprises a connection unit, a detection unit and a determination unit; the connection unit is connected with the LED display terminal for fixing the LED detection device to the LED display terminal; the detection unit is provided with an electrical detection module and a signal detection module for detecting the electrical connection state and the signal connection state of each element, generating connection state data and transmitting the data to the determination unit; the determination unit is connected with the detection unit for determining whether a failure takes place according to the connection state data and determining the position and the type of the failure; and the determination unit comprises an electrical connection failure determination subunit, a signal connection failure determination subunit, a control unit failure determination subunit, a driving unit failure determination subunit and a signal failure determination subunit. The detection device has the advantages of accurate data for failure detection, high detection efficiency and high intellectualization.

The invention discloses a roll surface correction device for a cold rolling mill, which includes a base, a stand, a support rod and a main motor. A lead screw is arranged inside the base, and a lifting box is arranged on the base, and the lifting box is connected to the lead screw through threads. The upper surface of the lifting box is symmetrically provided with two groups of parallel and vertically upward columns. The lifting screw is arranged inside the column. The lifting screws of the two groups are connected to the lifting seat through threads. The upper sliding sleeve is provided with a sliding seat, a rocker is arranged inside the beam of the support rod, and the sliding seat is connected to the rocking bar through threads, and a detection device is arranged on the sliding seat. The detection operation of the roll surface correction device of the cold rolling mill is simple and efficient, and the degree of wear and the wear position can be judged intuitively, which is convenient for accurate correction and grinding, improves the processing quality of the workpiece, and reduces the loss of the workpiece.

The invention discloses a machine-vision-based device and a machine-vision-based method for measuring vibration of a flexible double-joint mechanical arm. The device comprises the flexible double-joint mechanical arm, a CCD (charge coupled device) camera, a camera fixing device, an absolute value coder, multiple LED (light-emitting diode) luminotrons and a PC (personal computer), wherein the absolute value coder is arranged on a rotating motor; the LED luminotrons are arranged at the tail ends of two arm rods; the CCD camera is arranged at a middle joint; output ports of the CCD camera and the coder are connected with the PC. A lens of the camera is positioned in the direction of an angle bisector of an included angle formed by the two arm rods through the camera fixing device, and each frame of image detected by the CCD camera and real-time positioning data of the coder are sent to the PC, and are processed and compared with the positions of light spots which are static at a movement position by the PC, so as to obtain the vibration displacement of a light source for further analysis on vibration characteristics of the mechanical arm. According to the device and the method, the vibration characteristics of the two arm rods can be measured without contact and without changing vibration characteristics of a measured object, comparison and researching are facilitated, and the device and the method can be widely applied.

The invention discloses an internal damage detection method for an old mechanical part based on the Volterra series. The internal damage detection method comprises the steps of performing pulsed excitation on the old part to be detected through a pulse force hammer under the support of a free boundary; identifying a Volterra non-linear module of a system according to an input detection signal and a corresponding response signal, and giving out a non-linear output frequency response function estimation formula of the system; constructing a sensitive index function through a low-three-order non-linear output frequency response function, and estimating an actually detected value of the sensitive index function according to experiment test data; detecting the sensitivity of the sensitive index function to the internal damage of the old part through a series of tests, and reconstructing the sensitive index function to preferably select a suitable sensitive index function; evaluating an internal defect of the old part according to a non-linear characteristic sensitive index function value obtained through actually detected signal data, and constructing a classification standard for remanufacturing the cold part. The internal damage detection method is suitable for convenient, quick and accurate detection of a batch of old parts.

A door seal airtightness detecting device is characterized in that the door seal airtightness detecting device comprises a sealing box body, a sealing cover, a helium injection port, a helium concentration detection probe, a data collection instrument and a door seal to be detected. The sealing cover is matched with the sealing box body, and when the sealing cover is closed on the sealing box body, the sealing cover and the sealing box body form a sealing space. The helium injection port is formed in the sealing box body, and helium can be injected into the sealing space through the helium injection port. The helium concentration detection probe is arranged on the sealing box body, stretches into the sealing box body, and is used for detecting the helium concentration in the sealing box body. The data collection instrument is connected with the helium concentration detection probe, and is used for monitoring the helium concentration in real time. The door seal to be detected is cut into a structural size which is suitable for the sealing cover, is mounted at the position, which can make contact with the sealing box body in a closed state, of the sealing cover, and is used for sealing the clearance between the sealing cover and the sealing box body.

The application discloses a UV-visible absorption detection system based on a micro-fluidic chip and a detection method thereof. The UV-visible absorption detection system comprises a chip substrate, a micro-channel formed on the chip substrate and a UV absorption detector integrated on the chip substrate, wherein the micro-channel comprises a detection channel, and rays generated by the UV absorption detector are parallel to the extending direction of the detection channel. A light source of the UV absorption detector emits in and out in the horizontal direction of the chip, namely, in the direction parallel to the channel of the chip, so that the problem of short absorption optical path is solved; a UV-visible absorption detection operation unit is simple, low in detection cost and strong in university; the UV-visible absorption detector is integrated into the micro-fluidic chip, so that detection convenience is realized, and the quantity of the consumed solution can reach several or dozens of micro-liters. Compared with a traditional UV-visible absorption detection system, the detection method provided by the invention is greatly lowered in sample consumption, and has significance on detection of ions, micromolecules and the like in the field of environmental water or food.

The invention provides a probe based on target triggering and supportive of secondary amplification and application thereof. The probe comprises a first hairpin, a second hairpin and a third hairpin.The probe can realize amplification twice when detecting target DNA, so that signals are enhanced remarkably, and sensitivity in target DNA detection is improved greatly; limit of detection can be lowered to be 0.36pM, and the probe has a wide dynamic detection range exceeding 5 orders of magnitude, can meet requirements on detecting trace DNA and is simple to operate and low in cost.