46results about How to "Strong detection accuracy" patented technology

The invention relates to a method for apperceiving and reconstructing a non-vision structural form of a near space vehicle model. The method comprises the following steps: on the basis of a distributed embedded dispersed bragg fiber grating sensing array, sensing and detecting strain information of each measuring point of a test model, and utilizing a certain curvature conversion algorithm to convert the strain information into curvature information; on the basis of a curvature interpolation, calculating the related coordinate value of each point of wings and frame of the test model according to a three-dimensional space curve fitting algorithm of orthogonal curvature information; utilizing a coordinate fuse algorithm to obtain an absolute coordinate value of each point of the model; and lastly, reconstructing the deformation state and the low-frequency vibrating form of the test model according to a computer graphic processing technology and realizing the three-dimensional visual real-time display for the change in the model form. An experimental system for the method comprises a simulated near space vehicle model, a fiber grating network analyzer with a network service function, a high-performance computer and a display, wherein the fiber grating sensing array is embedded into the surface of the simulated near space vehicle model.

The invention discloses a vehicle detecting device based on multiple shock detecting sensors. The vehicle detecting device based on the multiple shock detecting sensors comprises a shock detecting unit, a shock signal adjusting circuit, a data collection unit, a microprocessor, a storage unit and a wireless transmitting module. The shock detecting unit, the shock signal adjusting circuit, the data collection unit and the microprocessor are connected in sequence, and the storage unit and the wireless transmitting module are connected with the microprocessor respectively. In the running process of a vehicle, continuous stimulating is generated to the ground by vehicle shafts through vehicle wheels, the generated road surface shock is detected by the multiple shock detecting sensors, the detected signal after passing through the signal adjusting circuit is input to a microcontroller, shock data are processed by the microcontroller to acquire shock source positioning, vehicle shaft positioning data are further acquired, and vehicle information such as the number of the vehicle shafts, wheel base, speed of the vehicle, the vehicle type classification and the like is acquired. The vehicle detecting device based on the multiple shock detecting sensors has the advantages of not being affected by weather factors such as rain, snow, fog and the like and boundary dimensions of the vehicles, and being simple to install and maintain and stable in operation.

The embodiment of the invention provides a character line detection method and device. In the embodiment of the invention, a preset YOLO model is used for simultaneously detecting a position of a character line in a to-be-detected image, an inclination angle of the character line, a forward / backward direction of characters included in the character line and a language type of the characters included in the character line. According to the embodiment of the invention, no self-adaptive binarization method needs to be used for extracting the characters in the image, thus cases of reducing detection accuracy of the character line due to illumination or shadows can be avoided, no bag-type feature classifier needs to be used for determining the character direction and the character language typein the character line, and cases of reducing the detection accuracy of the character line by lower generalization ability thereof is avoided. Generalization ability of the YOLO model of the embodiment of the invention is higher than that of bag-type feature classifiers, and thus the embodiment of the invention can improve the detection accuracy of the character line as compared with the prior art.

The invention relates to a device and a method for fruit and vegetable pesticide residues based on a laser Raman spectrometer. With the development of agricultural technology, various pesticides are used for prevention of fruit and vegetable pests in order to meet people's requirements in daily life by efficiently producing the fruits and vegetables with high yield, thus pesticide residues are formed on the surfaces of the fruits and vegetables unavoidably. The device for fruit and vegetable pesticide residues based on the laser Raman spectrometer comprises a display screen, a RS232 cable, a processor, a laser device, optical fibers, clamp nuts, a lens, a sample support, a probe housing, a reflective mirror, an optical fiber coupler, a pinhole, a focus lens, a collimating lens, optical gratings, a detector, a cut-off optical filter and a data line which are all fixed on the casing of the device. The device for fruit and vegetable pesticide residues based on the laser Raman spectrometer has the advantages of being compact in structure, low in power dissipation, high in stability, convenient to carry, and suitable for field detections. During detection, no movement of the device is needed, detection results are not affected by external vibrations, and the detection precision and speed are high.

The invention relates to a train operation comfort degree predication method based on bogie acceleration. A linear relation of train body center acceleration and bogie acceleration data is obtained through measurement of the bogie acceleration data and use of technical methods such as principal component analysis (PCA) and partial least squares (PLS), and therefore a comfort degree value is calculated. The train operation comfort degree prediction method based on the bogie acceleration can be used for on-passage real-time detection evaluation, detection data are collected in a real-time mode according to various operation conditions, and calculation and evaluation are carried out on current comfort degrees of the operation conditions.

The invention discloses an ROS-based catering robot and a use method thereof. The ROS-based catering robot comprises a main control robot base, a Kinect vision sensor, a raspberry pi, a bracket, an LCD, a tray and a workstation PC. According to the use method of the ROS-based catering robot, initialization is carried out; a system is started; a workstation controls a robot to walk and establishesan indoor environment map; the established two-dimensional map is loaded in a 3D visualization tool RVIZ; a destination is set in the LCD; and an accessible trajectory is obtained on the basis of global path planning and local path planning, so that a navigation task can be completed. With the use method of the ROS-based catering robot of the invention adopted, the autonomous food delivery of therobot can be realized; a human-machine interaction function can be enhanced; the ability of the robot to cope with emergencies can be improved; and functions such as autonomous navigation and autonomous obstacle avoidance in a navigation process can be realized.

The invention discloses a preparation method and application of aggregation induced luminescence-molecular imprinting fluorescence sensor for detecting rhodamine B. According to the method, the molecular imprinting technology and fluorescence detecting technology are combined, warfarin is used as a template molecule, alpha-methacrylic acid is used as a functional monomer, ethylene glycol dimethylacrylate is used as a cross-linking agent, azobisisobutyronitrile is used as an evocating agent, acetonitrile is used as a dissolvant, functionalized AIE molecules are added, and the precipitation polymerization method is adopted to synthesize AIE-MIPs. The AIE-MIPs is simple to operate, organic reagent use is little, ability to recognize the rhodamine B is high, the linear relationship is good inthe concentration range of 1*10<-5>-10*10<-5>mol / L. The AIEMIPs is adopted to carry out standard recovery experiment for papaya dry and Fanta beverage, the results showthat the recovery range of therhodamine B is 96.2%-103.5%, and the relative standard deviation range is 1.5-4.7%. The data indicates that the AIE-MIPs obtained by the combination of fluorescence detecting and molecular imprintingcan be applied to detection of rhodamine B in practical samples.

The invention discloses a biosensor based on an aptamer and a manufacturing method and application thereof and belongs to the field of biochemical technique. According to the biosensor based on the aptamer, n-octadecyl mercaptan is automatically assembled on a gold film, the n-octadecyl mercaptan is combined with carboxyl group graphene oxide through intermolecular force, activating treatment is carried out on the carboxyl group graphene oxide to enable carboxyl to be converted into an active ester group, and an amido bond is formed through the active ester group and amino acid on molecule of the aptamer to enable the aptamer to be fixed on the surface of the carboxyl group graphene oxide. According to the biosensor based on the aptamer, the electrochemical activity is good, the aptamer can be well fixed, and the biosensor can be used for detection of various kinds of target protein and can be applied to the fields such as biomedicine, food safety and environmental monitoring. The manufacturing method of the biosensor based on the aptamer is simple and easy to operate. Due to the fact that hydroxyl and epoxy group which are on the graphene oxide are converted into the carboxyl due to the adoption of NaOH and ClCH2COONa, the COOH functional group content is high, the good electrochemical activity is achieved, and the aptamer can be well fixed.

The invention provides an orthodontic arch wire bending detection method and system, and the method comprises the steps: enabling a reference arch wire and a bent arch wire to be placed on an acquisition platform, and enabling an arch wire optical image acquisition module to collect images of the reference arch wire and the bent arch wire; transmitting collected image information of the referencearch wire and the bent arch wire to the data analysis module; using the data analysis module to carry out quantitative analysis on the acquired image information of the reference arch wire and the bent arch wire; obtaining binary segmentation images of the reference arch wire and the bent arch wire, obtaining overlook curves of the reference arch wire and the bent arch wire, further establishing acoordinate system, and calculating position coordinates of reference points on the overlook curves of the reference arch wire and the bent arch wire; and calculating the standard degree of the bent arch wire through a root-mean-square error method. The method and system have the advantages of being wide in practical range, high in detection accuracy, independent of personal experience, high in adaptability, easy to operate and high in flexibility.

The invention discloses electromagnetic ultrasonic transducer used to do online dynamic measure for rolling stock wheel defect. Its framework is made by medium whole casting or milling. Its E shape groove gap is down on which high frequency coil is rolled. Its upper superficial is arc concave. And its base plate is set supporting which are connected by damping spring. Its high frequency coil has long useful life, high electromagnetic coupling efficiency, and high measuring precision and reliability.

The invention discloses a vision-based automatic detection method for a front vehicle, which comprises the following steps of: acquiring an image sequence by a vehicle-mounted camera; before detection processing, performing calibration operation of drawing a calibration line on images to be detected, and manually setting a detection region; detecting by using vehicle bottom shadow features, plate number features or taillight features, and judging detected vehicles; during detection processing according to frames in sequence, performing snapshotting on traced vehicles. The mounting position of the camera is not limited any more due to the calibration operation, the camera can be arranged at any position in front of the vehicle, the operation is convenient, the applicable range is wide, and flexible mounting, use, and replacement are facilitated; part of unnecessary subsequent judgments are reduced by same vehicle judgment, operation time is saved, misdetection is effectively prevented, and the method has the advantages of high detection precision, high detection accuracy, small calculated amount, low processing cost and the like.

The invention discloses a hoisting process danger identification method and system based on deep learning, and the method comprises the steps: S1, training to generate a Faster R-CNN worker and lifting hook detection network; S2, detecting a worker who correctly wears the safety helmet, a worker who does not correctly wear the safety helmet and a lifting hook in the current frame image in the video shot by the lifting site by utilizing the detection network; S3, judging whether a worker is detected in the current frame image or not, and if so, executing the step S4; if not, extracting the nextframe of image of the shot video, and continuing to execute the step S2; s4, judging whether a person is allowed to enter the hoisting site or not, and if not, triggering an alarm; if so, executing the step S5; s5, judging whether a worker who does not correctly wear the safety helmet is detected in the current frame image or not, and if so, triggering an alarm; if not, executing the step S6; s6,generating paths of the workers and the lifting hooks based on the detected positions of the workers and the lifting hooks; and S7, judging whether the distance between the worker and the lifting hook is less than a preset distance at a certain moment in the worker and lifting hook prediction path, and if so, triggering an alarm. The danger in the hoisting process is comprehensively and timely recognized, and hoisting accidents can be effectively prevented.

The invention provides a chemiluminescent immunodetection kit for a neuronspecific enolase and a preparation method of the chemiluminescent immunodetection kit and belongs to the technical field of in-vitro detection. The kit comprises a streptavidin magnetic particle suspension, a neuronspecific enolase monoclonal antibody marked by a chemiluminescent marker and a neuronspecific enolase monoclonal antibody marked by a coupling marker. The invention provides the preparation method of the chemiluminescent immunodetection kit for the neuronspecific enolase. The chemiluminescent immunodetection kit for the neuronspecific enolase, provided by the invention, is capable of automatically measuring a sample and directly giving a numerical value, so that human operation errors are reduced; in addition, unmanned operation is realized, so that the time required by clinical detection is shortened; meanwhile, the detection precision is relatively high; and a reagent and an instrument form a sealedsystem, so that small system errors are caused.

The invention discloses a measuring device for the synchronous error of a double-lifting-appliance bridge crane based on photoelectric sensing. The measuring device comprises a first synchronous measuring part, a second synchronous measuring part, a signal measuring integration module and a computer. The first synchronous measuring part is arranged at the bottom of a trolley mechanism and used fordetecting the motion state of a first lifting rope; the second synchronous measuring part is arranged at the bottom of the trolley mechanism and used for detecting the motion state of a second lifting rope; the input end of the signal measuring integration module is connected to the first synchronous measuring part and the second synchronous measuring part, and used for processing the motion state of the first lifting rope and the motion state of the second lifting rope; and the input end of the computer is connected to the signal measuring integration module and used for obtaining the motiontime of the first lifting rope and the motion time of the second lifting rope according to the motion state of the first lifting rope and the motion state of the second lifting rope correspondingly,the corresponding first motion length and the corresponding second motion length of the measuring device for the synchronous error of the double-lifting-appliance bridge crane based on photoelectric sensing are obtained by combining the rotating speed of a first lifting motor and the rotating speed of a second lifting motor, and finally, the synchronous error is obtained.

The invention relates to a multiple-swing angle detection device based on a light sensing positioner for a multi-lifting-appliance bridge crane. A hole-shaped cold laser emitting block on a lifting appliance serves as an emitting light source of the cold laser; a cold laser refraction dielectric plate on a swing rope is used as a refraction medium of the cold laser; a light sensing positioning and receiving plate on the swing rope serves as a receiving device of a refraction light corresponding to the cold laser, and the position data of a laser point generated by the refraction light on the light sensing positioning and receiving plate are obtained when the the lifting appliance is in a swinging or a non-swinging state by arranging the light sensitive PN junctions of the array; and a laser point position calculation CPU calculates a swing angle during the lifting appliance swings according to the difference between the position data when the lifting appliance swings or does not swing. The multiple-swing angle detection device solve the problem of synchronous detection of the multiple lifting, multiple lifting appliances and multiple swing angles of the multiple lifting appliances, and the device is simple in structure and low in cost, easy to manufacture, high in anti-interference capability, free of severe weather influence, high in detection precision and high in measurement speed.

The invention discloses an oracle bone alphabet detection method for guiding texture feature autonomous learning through an LM filter bank, and the method comprises the steps: firstly obtaining a rough denoising result of an input image I through employing an Otsu method and a multi-condition connected region filling algorithm; secondly, on the basis of the VGG16 network, introducing a group of trainable convolutional layers at each of the head end and the tail end, and realizing knowledge migration of shallow-layer features and high-layer features through a layer-by-layer freezing training mode; then, introducing a group of Inception sub-networks at the front part of the network, and introducing a group of Leung-Malik direction filter banks at the rear part of the network so as to adapt to the scale and angle changes of characters, and guiding a trainable convolutional layer to effectively obtain difference texture features of a character region; and finally, calculating a score of the region of interest by using a text attention mechanism and the region suggestion sub-network, and determining a text region through the feature dimension reduction sub-network and the region classification sub-network.

The invention discloses an ohm open-close type sensor of a mine aerial cableway. The ohm open-close type sensor comprises a probe detecting part and a probe positioning part which are movably connected through a hook, wherein the probe detecting part comprises a C-shaped probe shell; a strong magnet and a magnetic sensitive element are arranged in the probe shell; the top of the probe shell is connected with one end of the hook through a screw, and the other end of the hook is connected with the probe positioning part which comprises a concave encoder shell; the concave encoder shell is connected with the hook through a shaft; the recess of the encoder shell is connected with a rotating wheel through a rotating shaft; an encoder installed on anther rotating shaft is arranged in the encoder shell; two synchronous wheels are correspondingly arranged on the rotating shaft and one the same side of the encoder and the rotating wheel and are rotatably connected through a synchronous belt. Compared with the prior art, the ohm open-close type sensor of the mine aerial cableway is stable in work, reliable in performance, high in detecting accuracy, strong in interference resistance, accurate in date, high in practicality, wide in application scope and easy to popularize.

The invention relates to a method for apperceiving and reconstructing a non-vision structural form of a near space vehicle model. The method comprises the following steps: on the basis of a distributed embedded dispersed bragg fiber grating sensing array, sensing and detecting strain information of each measuring point of a test model, and utilizing a certain curvature conversion algorithm to convert the strain information into curvature information; on the basis of a curvature interpolation, calculating the related coordinate value of each point of wings and frame of the test model according to a three-dimensional space curve fitting algorithm of orthogonal curvature information; utilizing a coordinate fuse algorithm to obtain an absolute coordinate value of each point of the model; and lastly, reconstructing the deformation state and the low-frequency vibrating form of the test model according to a computer graphic processing technology and realizing the three-dimensional visual real-time display for the change in the model form. An experimental system for the method comprises a simulated near space vehicle model, a fiber grating network analyzer with a network service function, a high-performance computer and a display, wherein the fiber grating sensing array is embedded into the surface of the simulated near space vehicle model.

The invention relates to a prostate specific antigen homoisomer chemiluminiscence immunoassay kit, and belongs to the technical field of in-vitro detection. The kit comprises a calibrator, a magneticparticle reaction solution R1, a tracer conjugate reaction solution R2 and a capture antibody reaction solution R3, wherein the magnetic particle reaction liquid R1 comprises streptavidin magnetic beads, a buffer solution and a preservative; the tracing conjugate reaction liquid R2 comprises an acridinium ester-labeled p2PSA antibody or tPSA antibody, NaCl, a buffer solution, a preservative, a blocking agent, a protein stabilizer and a surfactant; the capture antibody reaction solution R3 comprises a biotin-labeled tPSA antibody or p2PSA antibody, NaCl, a buffer solution, a preservative, a protein stabilizer and a surfactant. The invention also provides a preparation method of the kit. The prostate specific antigen homoisomer chemiluminiscence immunoassay kit is high in detection sensitivity, good in reliability, low in cost and suitable for popularization and application.

The invention provides a device for testing falling of a beverage bottle. The device comprises a device body, the device body comprises a bottom plate, a testing box with an opening in the upper end is arranged in the middle of the upper surface of the bottom plate, a horizontal falling mechanism stretches across one side above the opening in the testing box, and a vertical falling mechanism stretches across the other side above the opening in the testing box; the horizontal falling mechanism and the vertical falling mechanism are separately connected with the upper surface of the bottom plate, and a PLC industrial personal computer is further arranged on one side of the upper surface of the bottom plate, is close to the horizontal falling mechanism, and is in communication connection withthe horizontal falling mechanism and the vertical falling mechanism. The device can effectively replace manual operation for horizontal and vertical falling testing on the beverage bottle, the degreeof automation and intelligence is high, operation is easy, using is convenient, labor intensity is lowered greatly, stability and reliability are high, the effect of detection is good, and safety ishigh.

The invention relates to automation product detection equipment, which comprises a fixed station. Roller shafts are symmetrically arranged on two sides of the fixed station and connected through a conveyor belt. A step motor is fixed on the bottom of the fixed station. The step motor is connected to the roller shafts through a belt in a transmission mode. A protection cover and a microcomputer control cabinet are arranged above the conveyor belt and both fixedly connected to the fixed station. The microcomputer control cabinet is arranged behind the protection cover. A weighing sensor is arranged in the inner cavity of the conveyor belt in the protection cover. The right side of the protection cover is provided with an installation plate. The installation plate is fixedly connected to thefixed station. A cylinder is fixed on the installation plate. The movable end of the cylinder is fixedly connected to a push rod. The other end of the push rod is fixedly connected to a push plate. The bottom of the fixed station is fixedly connected to a support. The whole structure is convenient for weighing and sorting during the transportation process. The materials can be conveniently gathered and transported, and the efficiency of product detection is improved.

The invention discloses a synchronous detection controller and control method for grid connection of a micro-grid. Each phase of a three-phase circuit comprises a conditioning circuit module, a first-order anti-aliasing filter difference operation module, a first-order low-pass filter, a detector, a comparator and a D trigger. The synchronous detection controller further comprises a NOR-logic operation module; the synchronous detection controller is applied to the grid connection control of the micro-grid and a public electric network and can effectively ensure the synchronous grid connection, out-of-sync rate is limited within the acceptable range, a large transient state of the micro-grid is avoided, misoperation of a relaying protection system is avoided, safety and stability of operation of the micro-grid are enhanced, and quality of electric energy of the micro-grid is improved. Meanwhile, detection precision is high, wiring is easy, size is small, weight is light, energy consumption and cost are low, high flexibility is achieved, and the synchronous detection controller and control method for the grid connection of the micro-grid are applicable to the grid connection control of the micro-grid.

The invention provides a method for rapidly detecting a solidification tail end position of a continuous casting billet. The method is applied to the technical field of continuous casting billet production processes. The method comprises the detection steps of enabling a roller (2) of a withdrawal and straightening machine (1) to apply pressure in the inner arc direction and the outer arc direction of the continuous casting billet; respectively cutting and taking down the pressed samples (3), and dissecting the pressed samples (3); after the plurality of pressed samples (3) are split, turning and grinding the split surfaces, and soaking the pressed samples (3) in a pickling tank; and comparing different pressed samples (3) formed by depressing different rollers (2) with non-pressed samples (4) respectively. According to the method for rapidly detecting the solidification tail end position of the continuous casting billet, a certain pressure is applied to the continuous casting billet through the withdrawal and straightening machine of a continuous casting machine, the position of the solidification tail end of the continuous casting billet can be rapidly and accurately judged, meanwhile, personnel do not need to be close to the high-temperature molten steel / continuous casting billet, additional investment and equipment transformation do not need to be increased, the operability is high, the technological process is simple, and the detection accuracy is high.

The invention discloses a vehicle detecting device based on multiple shock detecting sensors. The vehicle detecting device based on the multiple shock detecting sensors comprises a shock detecting unit, a shock signal adjusting circuit, a data collection unit, a microprocessor, a storage unit and a wireless transmitting module. The shock detecting unit, the shock signal adjusting circuit, the data collection unit and the microprocessor are connected in sequence, and the storage unit and the wireless transmitting module are connected with the microprocessor respectively. In the running process of a vehicle, continuous stimulating is generated to the ground by vehicle shafts through vehicle wheels, the generated road surface shock is detected by the multiple shock detecting sensors, the detected signal after passing through the signal adjusting circuit is input to a microcontroller, shock data are processed by the microcontroller to acquire shock source positioning, vehicle shaft positioning data are further acquired, and vehicle information such as the number of the vehicle shafts, wheel base, speed of the vehicle, the vehicle type classification and the like is acquired. The vehicle detecting device based on the multiple shock detecting sensors has the advantages of not being affected by weather factors such as rain, snow, fog and the like and boundary dimensions of the vehicles, and being simple to install and maintain and stable in operation.

The invention provides a portable parameter tester of a solar power generation system. The portable parameter tester comprises a temperature and humidity acquisition unit, a light intensity acquisition unit, a wind speed measurement unit, a photovoltaic cell power sampling unit, a data processing unit, a storage unit, a display unit, an alarm unit, a keyboard input unit, a USB communication unit and a power supply unit. By combining the sensor technology and the single chip microcomputer technology, temperature and humidity, light intensity and wind speed value of the current environment as well as generating capacity data of a photovoltaic cell can be detected in real time, displayed and stored, abnormal data is subjected to sound and light alarm reminding, the acquired data can be uploaded to an upper computer by a USB for further processing and analysis, normal and efficient operation of the solar power generation system is guaranteed, and quite useful original measurement data forimprovement and optimization of the system and subsequent scientific research are provided.

The invention discloses a partial discharge detecting device for a switchgear, and the device comprises a first ceramic capacitor, a partial discharge signal extracting device, a live indicating device and a partial discharge signal detecting device, wherein the partial discharge signal extracting device comprises a second ceramic capacitor and a partial discharge signal extracting resistor; the first ceramic capacitor, the second ceramic capacitor and the partial discharge signal extracting resistor are sequentially connected in series, and the partial discharge signal detecting device is connected in parallel with the second ceramic capacitor; the live indicating device is connected in parallel with the partial discharge signal extracting device, and the live indicating device comprisesan inductor, a divider resistor and a live indicator, which are orderly connected in series; frequency response characteristic detection is pre-performed on the ceramic capacitor component, the working bandwidth range of the ceramic capacitor component is determined as f1-f2, and the values of the first ceramic capacitor, the second ceramic capacitor and the partial discharge signal extracting resistor required for detecting the high frequency partial discharge signal are determined according to the working bandwidth range. The application can prevent the live indicator from shunting the partial discharge signal when the live indicator is working normally, and the partial discharge detection precision is high.

The present invention proposes a modified dimer surface-enhanced Raman method for detecting and analyzing the life activity state of living cells, including: modifying the first type of nanoparticles with substance A involved in a certain life activity of the cell, and modifying the first type nanoparticles with a substance A involved in the life activity of the cell. The second type of nanoparticles of Substance B is introduced into cells. During the process of life activities, Substance A and B combine, and the nanoparticles modified by the two form dimers, which induce the surface-enhanced pull of the dimer of Substance A and Substance B. Mann scattering, due to the order of magnitude difference between the dimer surface-enhanced Raman scattering intensity and ordinary Raman scattering, the signal intensity is observed by Raman spectrum scanning to confirm the place where life activities occur in living cells, and realize the analysis of living cell life activities. The method of the invention is helpful for accurate detection and analysis of the life activities of living cells, has the advantages of strong detection accuracy, good repeatability and the like, and has scientific research and clinical application value.

The invention discloses an ultrasonic guided wave defect quantitative detection method and application thereof. The defect quantitative detection method comprises the following steps: acquiring the propagation velocity of ultrasonic guided waves in a free section, without an anchor, of an anchor rod through ultrasonic guided wave detection; the propagation speed of ultrasonic guided waves in the anchoring dense section of the anchor rod is obtained through ultrasonic guided wave detection; and processing a return signal obtained by ultrasonic guided wave detection through an ICEEMDAN method, obtaining reflection time parameters of different positions and defect positions of the anchor rod according to a peak value of an intrinsic mode function obtained after signal decomposition, and quantitatively detecting the length of the defect according to the propagation velocity and the reflection time parameters. The detection method is efficient, accurate and suitable for wide application.

The invention provides an IPv6 address survivability detection method. The method comprises the following steps: acquiring a configuration file of equipment; analyzing the IPv6 address of each device to form an occupied address list; removing the IPv6 address of each device from the planned address range to form an idle address list; performing Ping test on the addresses in the occupied address list one by one, and if the Ping test passes, storing the addresses in a survival address list; otherwise, address sniffing is carried out; address sniffing is carried out on the addresses in the idle address list one by one, and whether the addresses survive or not is judged; performing port scanning on the address; judging whether the routing table checking function is loaded and started or not, and if not, ending the detection process; if yes, routing table checking is carried out on all addresses one by one, and if yes, the addresses are stored in a survival address list; otherwise, storing in a non-survival address list. According to the method, the IPv6 address survivability detection is efficiently completed, manual intervention is not needed, the detection efficiency is high, and the detection accuracy is high.