71results about How to "Not affected by human factors" patented technology

The invention discloses a dynamic motor truck scale and a method for testing truck weight, specially fitted for testing the truck weight under the dynamic condition. The inaccurate testing exists in the prior art. The dynamic motor truck scale of the invention comprises a grating sensor, a wheel axle identifier and an image collector which are arranged by matching with a weighting platform, wherein a transmitter and a receiver of the grating sensor are respectively arranged on two sides of a weighting channel in front of the weighting platform; the wheel axle identifier is arranged on the weighting channel in front of the weighting platform; the grating sensor, the wheel axle identifier and the image collector are all connected with a data collecting device. The data collecting device sums the weight data of each sensed wheel axle, analyzes and calculates the running speed and the acceleration of the truck according to the collected images, and verifies the weighting data so as to acquire the gross truck weight. The testing is accurate, the testing error which occurs due to the speed change in the testing points is prevented and the cheating phenomenon is avoided.

The invention discloses an online examination method for actual operation and training. The online examination method comprises personnel information recognition, network intelligence question setting, wiring examination, troubleshooting examination, automatic score determination and cloud management. The online examination method concretely comprises the following steps that firstly, personnel information recognition is performed; after the recognition succeeds, network intelligence question setting is randomly performed through a cloud server cluster; examinees perform the wiring examination and the troubleshooting examination; after the examinees complete the operation, automatic score determination is performed through a system; the scores of the examinees and the examination process are automatically uploaded to the cloud server cluster; real-time processing and statistical analysis are performed on training examination data; a query statistics service is provided through a query server. The online examination method has the advantages that flexibility is high, examination efficiency is high, and examination results are not affected by human factors.

The invention relates to a high-intensity focused ultrasound treatment device for judging whether a treatment effect is achieved or not by using speckle distribution changes in a treatment target area image. Speckle centers and organization edges of an acoustic image before treatment and a real-time acoustic image are extracted by a registration module in the device, the registration of the images before and after the treatment is realized, and indexes of the speckle distribution changes before and after the treatment of a target area are calculated by matched images to judge whether coagulative necrosis is generated at lesion or not. The device can greatly improve the precision rate for judging whether the coagulative necrosis is generated in the target area or not and is not influenced by human factors.

A fast counting method of wheat basic seedlings based on machine vision and graphics processing is proposed to solve the technical problem of low counting efficiency of wheat basic seedlings, and includes the following steps of acquiring basic seedling images, enhancing image restoration and performing target count. In the target count, the image processed by the step S8 is counted by using the connected area comparison method to obtain the number of wheat basic seedlings, so that the blocking adhesion of the wheat seedlings can be read and recognized, and the number of wheat basic seedlings is equal to the number of wheat seedlings counted in each connected area. By using machine vision and graphics processing method, the counting efficiency is high, and the method is suitable for large-scale statistics of wheat planting or germination.

The invention provides an automation method for IMU-camera joint calibration. The automation method for camera joint calibration provides full-automatic IMU-camera joint calibration method for unmanned equipment including an unmanned aerial vehicle, an unmanned vehicle and a mobile machine. According to the camera joint calibration method, IMU and camera can be conveniently calibrated in batch production. An IMU and a camera are installed on a to-be-calibrated device, fixing a device to be calibrated at the output end of the six-axis mechanical arm; a calibration plate is arranged right in front of the camera in an initial state; the output end of the six-axis mechanical arm is driven to drive the equipment to be calibrated to move according to a set track; the calibration plate is withinthe visual field range of the camera in the moving process; in the movement process, collecting and storing IMU original data according to the IMU data output frequency; and meanwhile, acquiring and storing camera image data according to the camera data output frequency, and then calculating the stored IMU original data and the camera image data through a kalibr tool box to obtain a transformationmatrix of an IMU coordinate system and a camera coordinate system, and a calibration error.

The invention discloses a method for determining the geological state of a rock mass in real time by monitoring the drilling process of a pneumatic bolt drilling machine. The method comprises: a pressure gauge and a flow meter are connected in series to a motor intake pipeline of a drilling machine, a hall rotation speed sensor is installed a drilling rod of the drilling machine vertically, operation parameters, including an intake pressure P and a gas consumption value Q of a motor as well as a rotation speed rate omega and a drilling rate v of the drilling rod, during the drilling process ofthe drilling machine are obtained during the installation process of a bolt and an anchor rope; according to a relationship between an output torque M, the gas consumption value Q, and the rotation speed rate omega of the drilling machine under a certain intake pressure P, an output torque M of the drilling machine is calculated; and on the basis of the output torque M and the drilling rate v ofthe drilling machine, a rock mass integrity coefficient Kv is determined by using a neural network. According to the method disclosed by the invention, the relationship between the operation parameters of the pneumatic bolt drilling machine and the geological state of the rock mass is determined by field testing; and on the basis of the relationship, the geological state of the rock mass is evaluated in real time by using the operation parameters of the pneumatic bolt drilling machine.

The invention discloses a full-automatic voltage internal resistance testing system. The full-automatic voltage internal resistance testing system comprises a material frame cart, a transfer platformwith a plurality of material storage positions, a turntable mechanism with a plurality of working positions and a discharging platform. The full-automatic voltage internal resistance testing system further comprises: a multi-connected clamping jaw manipulator used for transferring battery cells in a cart material frame to the transfer platform; a feeding, sorting, visual positioning and monitoringrobot used for grabbing the battery cells on the transfer platform, carrying out visual positioning and detection on the battery cells and placing the qualified battery cells on the working station of the turntable mechanism; a tab shaping mechanism, a battery cell body temperature testing mechanism, a code scanning mechanism and a battery cell voltage internal resistance testing mechanism whichare arranged at each working position of the turntable mechanism and are respectively used for carrying out tab shaping, battery cell body temperature testing, code scanning and battery cell voltage internal resistance testing; and a discharging and sorting robot used for discharging the battery cells which are tested to be qualified from the turntable mechanism to the discharging platform. According to the test system, the voltage and internal resistance test efficiency of a large square cell is improved, and test data is stable.

The invention discloses a junk mail identification method and device, and relates to the technical field of computers. One specific embodiment of the method comprises the steps of analyzing a target mail, obtaining mail information of the target mail and key information with a set label, and splicing the mail information and the key information to obtain text data; carrying out word segmentation on the text data to obtain a word segmentation result, and carrying out vectorization representation on the word segmentation result by utilizing a pre-trained word vector model to obtain a corresponding feature matrix; inputting the feature matrix into a pre-trained mail recognition model for recognition, and outputting a recognition result of the target mail; wherein the mail identification modelis used for identifying whether the target mail is a junk mail or not. According to the embodiment, the junk mail identification accuracy is improved, the maintenance cost is reduced, and the junk mail identification method is not influenced by human factors.

The invention relates to a parameter detection method for an optical lens and a detecting instrument thereof. The detecting instrument provided by the invention comprises a reference image output displayer, a detected lens installation adjusting device, a camera, a lens parameter analysis measuring and controlling device and a detection conclusion output device, wherein a detected lens is arranged in the appropriate light source projection position between the reference image output displayer and the camera; reference images which are set by the output of the lens parameter analysis measuringand controlling device are used as the reference light source display of the reference image output displayer; video images which are projected on the camera through the detected lens are shot and transmitted to the lens parameter analysis measuring and controlling device; and the image parameters of the video images are compared with the image parameters of the reference images through the lens parameter analysis measuring and controlling device, thereby judging whether the detected lens is qualified or not through comparison and transmitting the detection conclusion of judgment to the detection conclusion output device to be output. The invention can automatically detect and judge the quality of the detected lens through the instrument and has the advantages of small errors and high detection efficiency.

The invention relates to a method for determining high-concentration filling slurry self-flowing conveying optimal slurry, and belongs to the technical field of filling processes and application. Thehigh-concentration slurry and speed suitable for the self-flowing conveying can be accurately judged, and a better using effect is achieved. According to the present invention, modeling is carried outaccording to the actual mine filling pipelines, the waste rock and tailings are used as raw materials to prepare the high-concentration filling slurry, the conveying characteristic of the slurry in apipeline is studied, the change condition of the pressure loss along with the concentration and flow velocity during the conveying process and the condition of pressure loss at a bent pipe are analyzed, the flow and speed of the slurry suitable for pipeline conveying are determined, and theoretical reference is provided for the application of the high-concentration self-flowing filling technology.

The invention relates to an automatic detection system and method for the sag of a power transmission line. The automatic detection system comprises a Beidou satellite, a self-propelled trolley and aremote host. The self-propelled trolley is arranged on the power transmission line and comprises a mounting bracket, a battery unit at the bottom of the mounting bracket, a driving unit in the middleof the mounting bracket, a communication unit at the top of the mounting bracket and a sag measuring probe at the front end of the mounting bracket, wherein the communication unit communicates with the Beidou satellite through satellite signals, communicates with the remote host through wireless signals, and is connected with the driving unit and the sag measuring probe. The automatic detection system and method have the advantages that full-automatic measurement of the sag is realized, and the precision of measurement results is high; data is automatically recorded and stored, manual recording is not needed, and the work is not influenced by human factors.

The invention discloses a system and method for automatically detecting the distance between crossing points of a power transmission line. The system comprises a beidou satellite, a self-walking trolley and a remote host, the self-walking trolley is arranged on the power transmission line and comprises an installing support, a battery unit located at the bottom of the installing support, a drivingunit located in the middle of the installing support, a communication unit located at the top of the installing support and multiple laser radars located at the front end of the installing support, the communication unit is communicated with the beidou satellite through a satellite signal, communicated with the remote host through a wireless signal and connected with the driving unit and the laser radars, the laser radars are installed at the front end of the self-walking trolley through a bearing mechanism, and the bearing mechanism is connected with the installing support. The system and method have the advantages that the distance between the crossing points of the power transmission line is fully automatically measured, so that the precision of a measurement result is high; storage data is recorded automatically, manual recording is not needed, and influences of human factors do not exist.

The invention relates to an online sampling method for an oil pipeline. The online sampling method comprises following steps: 1), a section of bypass pipeline is arranged on a main pipeline, and a liquid enters the bypass pipeline through a sampling probe; 2), pressure detection is performed; 3), filtering and pollution discharge are performed; 4), pressure difference detection is performed at two ends of a filter; 5), the liquid is pressurized by a sampling pump; 6), pressure detection is performed; 7), an outlet of the sampling pump is connected with a sampling loop and a jet loop, the liquid at an outlet end of the jet loop is sprayed into the main pipeline through a spray nozzle, and the liquid entering the sampling loop is subjected to follow-up processes continuously; 8), pollution is discharged; 9), online density detection is performed; 10), gas is exhausted; 11), a sample is taken and stored; 12), the residual liquid after the sample is taken is subjected to pressure detection, temperature detection and flow detection sequentially and is finally converged into the main pipeline. According to the online sampling method for the oil pipeline, reliable, real-time and continuous operation, accurate sample quantity and accurate loop flow control can be realized, and the requirements that the obtained sample is representative, the sampling process is automatic and the system control is accurate are met finally.

The invention discloses a method for measuring cotton and hemp blend fiber content. The method comprises the steps of (1) establishing an equation between the content of cotton in cotton and hemp blend samples and a plurality of spectral values corresponding to a plurality of all-cotton sample characteristic wavelengths; (2) collecting reflection intermediate infrared spectra of samples to be detected, finding a plurality of to-be-measured sample spectral values corresponding to the characteristic wavelengths of the plurality of the all-cotton samples from the reflection intermediate infrared spectra of the to-be-measured samples, and substituting the spectral values of the plurality of the to-be-measured samples into the equation to obtain the content of cotton fibers in the to-be-measured samples, wherein the content of hemp fibers in the to-be-measured samples is the difference between 1 and the content of the cotton fibers in the to-be-measured samples. The method has the advantages of being simple to operate and capable of improving the detection efficiency and the detection accuracy, reducing the detection worker work intensity and requirements for the detection workers, guaranteeing the detection sample completeness and meeting batch rapid detection requirements.

The invention relates to a method for quickly determining a metal material strain hardening index. The method comprises the following steps of: first, according to the tension test data, drawing a tension curve sigma-epsilon; second, determining a starting point for generating strain hardening effect; third, determining an end point for generating strain hardening effect; fourth, determining two key points: namely (epsilon1, sigma1) and (epsilon2, sigma2) on the tension curve; and fifth, according to a formula, calculating the strain hardening index. The method provided by the invention has the characteristics of easy operation, high efficiency and no influence of human factors.

The embodiment of the invention provides a motion target highest temperature detection method and system. The method comprises the steps that a thermal infrared video of a motion target is acquired, an arbitrary frame image is segmented, a plurality of connected domains are acquired, and if the area of the connected domain with the highest temperature of a head in any frame image is maximum, the frame image is used as an effective frame image; a plurality of temperature characteristic parameters of each effective frame image are acquired, a histogram of all the temperature characteristic parameters of each effective frame image is acquired, and a frame corresponding to the maximum value of each histogram is used as a relatively-optimal frame image; the number of times of repeated appearance of each relatively-optimal frame image among all the relatively-optimal frame images is acquired, and the first six frame images with the maximum number of times of repeated appearance are used as alternative optimal frame images; and three images are selected from all the alternative optimal frame images to serve as optimal frame images, and the highest temperature of the motion target is acquired according to the three optimal frame images. Through the detection method and system, thermal infrared temperature automatic detection of the motion target is realized, manual intervention is notneeded, and the influence of human factors is avoided.

The invention provides a seismic frequency spectrum reconstruction method, and relates to the field of geophysical exploration. The method comprises the following steps: (1) obtaining a seismic signal x (t) and carrying out Fourier transformation on the seismic signal x (t) to obtain an amplitude spectrum X (f) of the seismic signal; (2) selecting a wavelet spectrum formula and picking up an original value of a peak frequency m of a wavelet spectrum; (3) calculating a peak amplitude a of the wavelet spectrum; (4) according to a maximum matching projection principle, carrying out local optimization on the peak amplitude a of the wavelet spectrum and the peak frequency m of the wavelet spectrum to obtain the locally-optimal peak amplitude of the wavelet spectrum and peak frequency of the wavelet spectrum; (5) substituting the peak amplitude a of the wavelet spectrum and the peak frequency m of the wavelet spectrum into the wavelet spectrum formula to obtain an amplitude spectrum of wavelets; and using the locally-optimal peak amplitude a of wavelet spectrum and peak frequency m of the wavelet spectrum to reconstruct a seismic spectrum X(f) to obtain a reconstructed seismic frequency spectrum and residuals.

The invention discloses an automatic condensed water drainage device of a charge air cooler, which extends into the lowest position of a gas inlet pipe of an internal combustion engine and comprises a piston outer sleeve, a piston body and an elastic device, wherein the piston outer sleeve is in a hollow structure, an opening is arranged at the upper end of the piston outer sleeve, a connecting bulge for connecting with the gas inlet pipe of the internal combustion engine is arranged at the lower part of the peripheral surface of the piston outer sleeve, a plurality of water inlet holes penetrating through the piston outer sleeve in the thickness direction are arranged in the positions which are adjacent to the connecting bulge, the water inlet holes are positioned above the connecting bulge and a plurality of water outlet holes penetrating through the piston outer sleeve in the thickness direction are arranged on the lower end surface of the piston outer sleeve; the piston body is arranged in the piston outer sleeve in a way of sliding up and down; and the elastic device is arranged between the piston body and the piston outer sleeve, when the elastic device is in a normal state, the piston body is positioned at the upper part of the piston outer sleeve. The automatic condensed water drainage device of the charge air cooler can reliably ensure that water drainage can be performed after shutdown of the internal combustion engine or before startup.

The invention discloses a parking position recording system and method based on image recognition, and the system comprises a navigation / map module, a vehicle-mounted camera device, a vehicle-mounted image processing controller, a vehicle-mounted compass module, a controller, and a user terminal APP. The navigation / map module is connected to the vehicle-mounted camera device. The vehicle-mounted camera device is connected with the vehicle-mounted image processing controller and the vehicle-mounted compass module, the vehicle-mounted image processing controller and the vehicle-mounted compass module are connected with the controller, and the controller is connected with the user terminal APP. The parking position of the vehicle can be intelligently recorded based on the vehicle device / equipment capability, a user is helped to quickly acquire the parking information, and the problem that the vehicle is difficult to find in an indoor / underground parking lot is solved.

The invention relates to the technical field of building material detection and aims at providing a method for identifying void defects of a concrete-filled steel tube member based on infrared thermalimaging. The method comprises the following steps: heating a to-be-measured area of a concrete-filled steel tube member through a heating device, shooting an image of the surface of a test piece, carrying out processing and analyzing through infrared digital image processing software, and calculating the temperature distribution gradient of the surface of the concrete-filled steel tube member bycomparing and analyzing temperature distribution rules of a heating area and a non-heating area; and further determining the range of the concrete-filled steel tube void area according to the temperature distribution gradient, and identifying the boundary of the concrete-filled steel tube void area. According to the method, the boundary of the void defect of the concrete-filled steel tube component is identified by adopting a temperature change rate method, so that the method has repeatability; and a test result is not influenced by human factors. The method is simple and convenient to operate, the test equipment can select different existing commercial instruments according to test precision requirements, so that manpower and material resources are saved, and the test cost is low.

The invention discloses a full-automatic voltage internal resistance testing system which comprises a feeding platform, an advancing and retreating working platform, a turntable mechanism and a discharging conveying belt. A feeding, sorting, visual positioning and monitoring robot is used for grabbing the battery cells on the feeding platform, carrying out visual positioning and detection on the battery cells and placing the battery cells on the advancing and retreating working platform, a side voltage testing mechanism is used for carrying out side voltage testing on the battery cells on theadvancing and retreating working platform, and an upper turntable transfer manipulator is used for transferring the qualified battery cells to the turntable mechanism. A tab shaping mechanism, a battery cell body temperature testing mechanism, a code scanning mechanism and a battery cell voltage internal resistance testing mechanism which are arranged at each working position of the turntable mechanism are respectively used for the tab shaping, a battery cell body temperature test, the code scanning and a battery cell voltage internal resistance test, and a discharging sorting robot is used for discharging the battery cells from the turntable mechanism to the discharging conveying belt. According to the test system, the voltage and internal resistance test efficiency of the small square battery cells is improved, and the test data is more stable.

The invention relates to a vascular endothelial growth factor chemiluminescence immunoassay kit and a preparation method thereof, belonging to the technical field of kits. The existing method of detecting vascular endothelial growth factor is complex to operate, takes long detection time, is low in automation, is greatly affected by human factors, has low sensitivity, and has low repeatability. The invention solves the mentioned problems. The kit comprises a reagent R1, a reagent R2, and a reagent R3, wherein the reagent R1 comprises streptavidin magnetic particles and buffer solution I, the reagent R2 comprises vascular endothelial growth factor monoclonal antibody marked by a chemiluminescence marker and buffer solution II, and the reagent R3 comprises vascular endothelial growth factormonoclonal antibody marked by a coupling marker and buffer solution III. The kit is simple to operate, takes short detection time, is high in automation, is not affected by human factors, and has highsensitivity, good repeatability, good interference resistance, wide detection range, and high thermal stability.

The embodiment of the invention provides an expression recognition method, device and equipment for characters in a video and a storage medium, and relates to the technical field of video content analysis. The method comprises the steps: obtaining a plurality of first images from a to-be-processed video; graying the first image to obtain a second image; obtaining a face area on the second image through a face detection model; screening out a third image containing a front face from a plurality of second images according to the face area; obtaining figure information corresponding to a face area of the third image through a face recognition model; and obtaining expression information corresponding to the figure information of the third image through an expression recognition model. The method greatly improves the efficiency of video analysis and video marking in the prior art, is stable and reliable, is not affected by human factors, and has good practical significance.

The invention provides a calibration method for 2D laser-binocular camera combined calibration. Through the practicability of the calibration plate, full automation of 2D laser and binocular camera joint calibration can be achieved, high precision and consistency are achieved, and calibration is suitable for batch production. A 2D laser and a binocular camera are installed on a to-be-calibrated device. A calibration plate is arranged at the front position of the to-be-calibrated equipment. The calibration plate comprises three planes which are perpendicular to each other. every two of the X axes are intersected to form a corresponding X axis, a Y-axis and a Z-axis, one plane is provided with a plane calibration feature; then, a transformation relation between a 2D laser coordinate system and a calibration plate coordinate system is utilized; solving a transformation relation between the 2D laser coordinate system and the binocular coordinate system according to a change relation between the binocular camera coordinate system and the plane calibration feature coordinate system and a corresponding change relation between the plane calibration feature coordinate system and the calibration plate coordinate system, and completing the combined calibration of the 2D laser coordinate system and the binocular coordinate system.

The invention relates to an online sampling device for an oil pipeline. A section of process pipeline is arranged on a main pipeline, an inlet end of the process pipeline is connected with a sampling probe, an outlet end of the process pipeline is connected with a nozzle, and the sampling probe and the nozzle are all connected to the main pipeline; a sampling loop pipeline is in bypass connection with the process pipeline behind sampling pumps, representative samples are taken from the sampling loop pipeline, and residual liquids finally converge to the main pipeline. By means of the online sampling device, reliable operation, real-time continuous sampling, accurate sample quantity and precise loop flow control can be realized, and the requirements for representative samples, automatic sampling process and precise system control are met finally.

The invention relates to a hybrid corn seed production cost-saving, impurity-removing, emasculation and purity-keeping method, which comprises the following steps: adjusting the sowing time according to the planting and growth period characteristics of male parents and female parents and the flowering time of the male parents and the female parents, so that the spinning period of the female parents and the tassel pollination period of the male parents meet; performing abnormal plant identification by using a corn abnormal plant identification model after seed production corn male and female parent final singling, after jointing and before tasseling, and removing abnormal plants; in the female parent tasseling period, identifying tassels by using the corn tassel identification model, and removing the tassels which are extracted; removing tassel plants which are not completely removed in the female parents repeatedly, so that it is ensured that tassels of the female parents are completely removed after tasseling of the female parents and before pollination. In the corn seed production process, the labor intensity of manual impurity removal and female parent emasculation is relieved, influences of human factors are avoided, and the purity of hybrid corn seeds is improved.

The invention discloses a safe novel voter qualification certificate and a using and verification method thereof. The voter qualification certificate comprises a public information printing area, a hidden information printing area and a verification information printing area, and verification information comprises a two-dimensional code digital master stamp, a two-dimensional code digital privatestamp and a two-dimensional code digital sub stamp; and covert information and the verification information are covered by scratch-off coatings. Compared with the prior art, the safe novel voter qualification certificate has the positive effects that by the novel voter qualification certificate, the anonymity of election is improved; the novel voter qualification certificate has good anti-counterfeiting property; and the novel voter qualification certificate has reuse resistance.

The invention provides an aluminum and aluminum alloy production method, and relates to the technical field of aluminum and aluminum alloy production. According to the aluminum and aluminum alloy production method, before aluminum melt enters a smelting furnace to be molten, purification treatment on the aluminum melt is carried out, the purity of the aluminum melt entering the furnace is improved, the number of times of refining, stirring and slagging-off in the smelting furnace is decreased, the process time is shortened, energy consumption is reduced, and the equipment maintaining cost of aslagging-off vehicle and the smelting furnace is reduced. Furnace wall hanging slag and furnace bottom accumulated slag of the smelting furnace are reduced. The conditions of original frequent slagging-off vehicle slagging-off and cold and heat furnace cleaning are reduced, external force damage borne by lining materials in the furnace body during mechanical furnace cleaning is greatly avoided, and the service life of the furnace body is prolonged.