24results about How to "Realize dynamic calibration" patented technology

The invention discloses a method and system for detecting the content of nonferrous metals in ore based on big data, and belongs to the technical field of ore detection. The method comprises the following steps: acquiring each non-ferrous metal to be detected in ore, and acquiring initial calibration parameters of a detection instrument according to each non-ferrous metal to be detected; the method comprises the following steps: collecting working environment data of a working area of a detection instrument, obtaining the number of interference element types and waveform characteristic data of each to-be-detected nonferrous metal and each interference element type, processing according to the working environment data to obtain a detection environment interference value, and comprehensively analyzing to obtain a detection interference degree evaluation value. The detection instrument is calibrated according to the detection interference degree evaluation value; and monitoring the working state data of the detection instrument, processing according to the detection environment interference value and the working state data of the detection instrument to obtain a detection result accuracy evaluation value, and evaluating and feeding back the detection result.

The invention provides a radiation temperature measurement device and method based on dynamic calibration, and relates to the technical field of radiation temperature measurement. The device is used for measuring temperature information of a hot end component and comprises a first lens group, a temperature measuring probe, a second lens group, an optical switch, an optical filter, a photoelectric detector, a pre-amplifier, an acquisition monitoring system and a controller, after passing through the optical filter, a corresponding temperature measurement characteristic wavelength is obtained; the photoelectric detector is of a thermoelectric refrigeration type, the temperature measurement characteristic wavelength is incident to the photoelectric detector for detection to obtain a corresponding electric signal, the electric signal is amplified into a collectable voltage signal through the pre-amplifier, and the collection monitoring system carries out collection and post-processing to obtain temperature information of the hot end component; the optical switch is arranged at the front end of the optical filter and is controlled to be turned on or turned off through the controller, and the controller is controlled by the collecting and monitoring system.

The invention discloses a calibration method and device for radio frequency identification equipment, the equipment and a medium, and the method comprises the steps: obtaining internal and external power values of the radio frequency identification equipment according to a plurality of power setting items in response to a calibration request; performing secondary fitting by adopting the internal and external power values, and performing power calibration on the radio frequency identification equipment according to a secondary fitting result to obtain intermediate radio frequency identification equipment; initializing intermediate radio frequency identification equipment according to preset radio frequency signal characteristics, and respectively measuring signal receiving intensity under multiple groups of attenuation; and performing difference value fitting according to the signal receiving strength and the attenuation amount, and performing receiving calibration on the intermediate radio frequency identification equipment according to a difference value fitting result to obtain target radio frequency identification equipment. Therefore, dynamic calibration of the radio frequency identification equipment is realized through forward / reverse power calibration and receiving calibration of the received signal strength, and the positioning precision of the radio frequency identification equipment in a complex environment is further improved.

The invention relates to the technical field of catalytic ozonation wastewater treatment systems based on micro-nano aeration, in particular to a catalytic ozonation wastewater treatment method and system based on micro-nano aeration. The system comprises a treatment investigation unit which is used for carrying out data acquisition on wastewater to be treated at different wastewater treatment links and carrying out classified storage and analysis; the treatment scheme unit is used for formulating graded wastewater treatment schemes according to the analysis result, constructing corresponding simulation training models for different grades of schemes, collecting operation problems through simulation training, and optimizing the wastewater treatment schemes based on the operation problems; and the problem collection unit is used for establishing a process design decision matrix based on problems in the implementation process after the optimized wastewater treatment scheme is implemented, and adjusting the wastewater treatment scheme. Dynamic calibration and optimization adjustment of the wastewater treatment scheme are realized, and the stability and accuracy of the treatment system are improved.

The present invention discloses a method for forecasting river basin runoff based on dynamically calibrating river flow propagation time, comprising: S1, acquiring and processing river basin meteorological and hydrological data, selecting rainfall runoff data for dynamically calibrating river flow propagation time; S2, dividing the rainfall runoff data into a calibration data set and a verification data set, and using an optimization algorithm to calibrate and verify the river flow propagation time; S3, bringing the calibrated river flow propagation time into a river confluence model, and using the river basin runoff generation and confluence model and the river confluence model to forecast the river basin runoff; the present invention significantly improves the accuracy of the forecast, has the advantages of high precision, high reliability, strong adaptability, etc., and can be applied to important scenarios such as flood control, water resource utilization, and large reservoir scheduling.

The application discloses a kind of laser calibration devices of thin-walled shell axial compression test, it is related to the technical field of axial compression test, including laser calibration instrument system, control unit, servo motor, screw adjusting mechanism and clamping mechanism;Laser calibration instrument system is integrated with clamping mechanism, control unit is respectively connected with laser calibration instrument system, servo motor, screw adjusting mechanism and clamping mechanism, realizes closed-loop control, laser calibration instrument system and clamping mechanism adopt same reference coordinate system;Clamping mechanism is used for the nondestructive positioning and locking of thin-walled shell;The clamping end surface of clamping mechanism is embedded with pressure sensor;Laser calibration instrument system is used for real-time monitoring thin-walled shell displacement and positioning deviation, cooperates control unit, servo motor and screw adjusting mechanism to complete dynamic calibration.The application can realize the high-precision positioning and calibration of composite thin-walled shell in axial compression test process, and can avoid stress concentration when the shell is clamped and fixed, realize the nondestructive clamping and locking of shell.

The invention discloses a small sample plant disease identification method and system based on CLIP model lightweight adaptation, and the method comprises the steps: collecting plant disease and insect pest images, carrying out the disease category labeling, and constructing a plant disease and insect pest image data set; generating multi-source text descriptions in one-to-one correspondence with the plant disease and insect pest images in the plant disease and insect pest image data set; a small sample plant disease recognition model is constructed based on the CLIP model, and a lightweight adapter module is embedded into the output end of an image encoder of the CLIP model to output adaptive image features; taking the plant disease and insect pest image in the training set and the matched multi-source text description as input, and extracting image features and text features in the plant disease and insect pest image; training the small sample plant disease recognition model by adopting a mixed loss function; verifying the model performance through the verification set to determine an optimal model parameter; and inputting a to-be-detected plant image into the trained small sample plant disease identification model to obtain a category identification result of the plant disease.

The invention discloses an in-situ calibration method, calibration device and system for a pavement rutting instrument, and belongs to the technical field of calibration. The method comprises the following steps: determining a target lifting height of each lifter in a group of lifters according to a target track; determining a sampling pulse signal according to the simulated vehicle speed of the laser rutting instrument test system to be calibrated; before measurement of the to-be-calibrated laser rutting instrument testing system, the lifters are driven to reach the target lifting heights according to the target lifting heights of the lifters so as to simulate cross section curves, and ruts corresponding to the cross section curves are consistent with target ruts; receiving a group of measured cross section measurement curves sent by a lifter; obtaining a track standard value according to the cross section measurement curve; receiving a rut measurement value obtained by the to-be-calibrated laser rut instrument test system based on the sampling pulse signal; and calibrating the laser rutting instrument test system according to the rutting standard value and the rutting measurement value. According to the scheme, the dynamic calibration process of the test system can be realized, and accurate and stable calibration parameters can be quickly obtained.

The application discloses an AI large model-based personalized auxiliary teaching content dynamic generation and pushing method, and belongs to the technical field of data processing, and comprises the following steps: acquiring the conditional probability distribution of an AI large model output layer and constructing a benchmark probability distribution vector, acquiring a generation probability distribution feature vector in a subsequent generation round and performing distribution similarity analysis to determine a generation probability distribution drift state; performing controlled adjustment on the generation parameter set in the drift state, constructing a stable window in a continuous non-drift state, and dynamically updating the benchmark probability distribution vector. Teaching content is generated based on the adjusted generation parameter set and is pushed in batches, generation stability monitoring is performed in the pushing process, pushing constraint adjustment is performed according to the shock state and the convergence state, and finally, the converged generation parameter set is saved as an initial generation strategy corresponding to a teaching task, thereby solving the problem of implicit degradation of the teaching content generation quality in the prior art.

This application belongs to the field of electromagnetic detection technology and provides a dynamic correction method for the electromagnetic response of a UAV based on residual magnetic field injection. The method includes: under no flux negative feedback, a receiving coil collects a first induced voltage, and a receiving system receives the first induced voltage to obtain a first measured voltage; a reverse magnetic field is generated through flux negative feedback, and the receiving coil collects a second induced voltage, which is then received by the receiving system to obtain a second measured voltage; the transfer function of the actual receiving system is calculated based on the relationships between the first and second measured voltages and the first and second induced voltages, respectively; the transfer function of the theoretical receiving system is calculated, and correction coefficients and the effective secondary field signal are calculated; the amplitude and phase information of the effective secondary field signal are calculated. By eliminating the residual primary field voltage, dynamic calibration of the receiving system is simultaneously achieved, thereby obtaining more accurate response voltage data from two aspects and improving flight detection accuracy.

The utility model relates to the technical field of wind turbine generator unit, especially a kind of wind turbine generator unit yaw system vibration calibration and stabilizing device, it include: yaw pedestal and vibration calibration mechanism, wherein: yaw pedestal, top is equipped with annular guide rail, annular guide rail inner side wall is opened with tooth slot, multiple guide posts are set at the edge of yaw pedestal with equal angle, guide post top end is connected through crossbeam, displacement sensor is embedded in the middle part of crossbeam;Vibration calibration mechanism includes the sliding block with the sliding fit of annular guide rail, the top of sliding block is fixed with bearing table, and driving motor is installed at the center of bearing table bottom surface, and driving motor output shaft is connected with the driving gear meshing with tooth slot, and bearing table top surface four corners are equipped with damping shock absorber, and damping shock absorber top end is connected with calibration platform, and calibration platform side is fixed with the guide sleeve sliding fit with guide post, and vibration calibration mechanism is installed with stabilizing component;It enhances the overall service life of yaw system, improves wind turbine generator unit running stability.

The utility model provides a kind of cage roller automatic sorting feeding structure, it is related to roller installation field, and it includes: workbench main body, carousel, carousel rotation is connected in the surface of workbench main body, limit block, limit block fixedly connected in the surface of carousel, cage, cage is set in the circumferential surface of limit block, mounting mechanism, mounting mechanism includes cylinder, connecting rod, guide plate, partial tooth gear, gear, extruding block, track block and drive assembly, guide plate is equipped with two, track block fixedly connected in the surface of workbench main body, cylinder fixedly connected in the surface of workbench main body, extruding block slidingly connected in track block, the output end of cylinder is slidably connected in the one end of track block, this structure has solved the problem, such as low efficiency, labor intensity, assembly precision and easy to jam material etc. caused by traditional manual sorting and knock into roller, realized the automation, high precision and continuous production of roller sorting feeding.

The application relates to a methane leakage automatic detection method and device, which comprises the following steps: panoramic scanning of a monitoring area is carried out by driving an infrared spectrum imaging equipment through a holder, and a spectrum image of a target wave band is collected; a point cloud image of a suspected leakage area is generated based on a preset methane absorption peak intensity threshold value, and leakage concentration distribution coordinates are marked; an active light source is started, and a unique recognizable bright-out coding signal is emitted; meanwhile, the infrared spectrum imaging equipment is triggered to enter a high-speed frame mode to capture a dynamic spot of the active light source; a spot position of a corresponding dynamic spot in a spectrum image collected by the infrared spectrum imaging equipment is identified according to the bright-out coding signal, and spot center pixel coordinates (x, y) of the dynamic spot are recorded; the holder is controlled to rotate, so that an optical axis of a methane laser detection module is automatically aligned with the spot center pixel coordinates, detection is carried out, and an accurate leakage concentration value is output.

The utility model discloses an efficient punching machine for a PVC pipeline. The efficient punching machine comprises a bearing base, a composite guiding system, a self-adaptive clamping mechanism and a multi-direction drilling assembly. The bearing base is provided with a guide rail and a waste collecting structure. The composite guiding system is composed of a transverse positioning assembly and a longitudinal restraining assembly, the transverse positioning assembly achieves transverse accurate centering of the pipeline through a V-shaped centering roller set and servo drive, and the longitudinal restraining assembly restrains deviation of the pipeline through a conical face limiting wheel. The self-adaptive clamping mechanism adapts to different pipe diameters through a lifting base and a rotating chuck; the multi-direction drilling assembly comprises independent driving drill bits symmetrically distributed along the axis of the pipeline, and multi-hole-site synchronous machining is achieved through the cooperation of the multi-direction drilling assembly and the horizontal displacement sliding table. The problems that traditional equipment is low in efficiency and poor in positioning precision are solved, the functions of efficient drilling, high-precision positioning, multi-specification adaptation and automatic waste collection are achieved, and the automatic drilling machine is suitable for batch production of PVC pipelines.

The invention relates to the technical field of virtual simulation, in particular to a scene type object dynamic interaction system and interaction platform based on virtual simulation. The method comprises the following steps: firstly, acquiring initial interaction parameters of each object in a scene, wherein the initial interaction parameters comprise basic data such as physical attributes, collision detection and rendering parameters; calculating a performance coefficient reflecting the interaction importance based on the historical interaction record of the object; the initial parameters are optimized and adjusted according to the coefficients, and dynamic interaction parameters better meeting actual requirements are obtained; and finally, an interaction rule is updated in real time through a scene monitoring module to ensure that the system is always kept in an optimal performance state. The overall operation efficiency of the system can be remarkably improved, on-demand allocation of computing resources is achieved through differentiated parameter configuration strategies, and a solution is provided for smooth interaction of a complex virtual scene.

The invention discloses a dynamic life calibration method for an adjustable kick type temperature controller, which comprises the following steps of: applying adjustable acceleration stress to the temperature controller, driving the temperature controller to circularly kick, and synchronously acquiring a multi-source parameter signal for reflecting a degradation state; performing segment processing on the multi-source parameter signal according to a kick period and a degradation stage, extracting a multi-source degradation characterization quantity and constructing a degradation feature vector sequence; performing multiple times of residual life prediction based on the sequence by a life prediction model to obtain a residual life prediction sequence and generate life trend characteristics; the acceleration stress parameters of the next stage are adaptively updated according to the life trend characteristics until failure judgment conditions are met, failure points are determined, residual life true values at all prediction moments are backfilled, a calibration sample set is established, and a calibration relation for mapping the prediction values into the true values is obtained through fitting; and calibrating the life prediction model based on the calibration relation and outputting a life calibration result. According to the method, the service life information acquisition efficiency and calibration convergence are improved, and the evaluation accuracy and consistency are improved.

The application provides a UAV trajectory tracking method, a server, a medium and a product, and relates to the technical field of UAV tracking. The method comprises the following steps: receiving GPS positioning signals of all working UAVs in real time; when it is monitored that the GPS positioning signal of any target working UAV is lost, determining a reference UAV of the target working UAV, and acquiring real-time positioning information of the reference UAV; calculating the historical relative position relationship between the reference UAV and the target working UAV; based on the historical relative position relationship and the real-time positioning information of the reference UAV, calculating the real-time virtual positioning of the target working UAV, and generating a temporary tracking trajectory according to the real-time virtual positioning; and issuing the temporary tracking trajectory to the target working UAV. The method can guarantee the continuity of the UAV trajectory and the integrity of the work, effectively avoid the yaw, collision or work interruption caused by the loss of position, and significantly improve the safety and reliability of the UAV cluster work in a complex scene.

The invention discloses an in-situ calibration method, calibration device and system for a pavement flatness instrument, and belongs to the technical field of calibration. The method comprises the steps of determining a target rotating speed of an elevation simulator according to a target flatness index range; determining a sampling pulse signal according to the simulation vehicle speed of the to-be-calibrated laser flatness instrument test system; driving an elevation simulator to simulate a height sequence value according to the target rotating speed, wherein a flatness index corresponding to the height sequence value is within a target flatness index range; receiving vertical section height program sequence measurement data sent by the elevation simulator and obtained based on sampling pulse signal measurement; obtaining a flatness index standard value according to the longitudinal section height program column measurement data; receiving a flatness index measurement value obtained by a to-be-calibrated laser flatness instrument test system based on the sampling pulse signal; and calibrating the laser flatness instrument test system according to the flatness index standard value and the flatness index measurement value. According to the technical scheme, the performance of the laser flatness instrument test system can be rapidly calibrated.

The invention discloses a fixed wing flight device landing control method and device, and the method comprises the steps: collecting the geographic information of a runway, so as to construct a data calibration difference table; according to the take-off data and a data calibration difference table, obtaining a first height difference, determined by each height sensor, of the flight device relative to the take-off point; based on the height difference between the pre-estimated landing point and the take-off point, obtaining a second height difference, determined by each height sensor, of the flight device relative to the pre-estimated landing point; and selecting a second height difference of the single height sensor as a height source according to the landing field difference to carry out landing control until the flight device lands. The problem that safe and accurate landing control is difficult to achieve under the complex runway condition in the existing landing technology is solved, the hardware cost is reduced, meanwhile, the problems of environment interference and measurement errors caused by additional equipment are avoided, and the scheme is economical, efficient and safe.

The present application provides a dynamic calibration device and method for a flexible thin film pressure sensor array, belonging to the field of sensor calibration technology. The device has a pressure platform, which includes: a lower pressure platform assembly, which is provided with a first plane for placing a flexible thin film pressure sensor array; a guide shaft, which is fastened to the lower pressure platform assembly; an upper pressure platform assembly, which includes a driving member and a pressure plate assembly, the pressure plate assembly is slidably connected to the guide shaft, the pressure plate assembly is provided with a second plane that can apply pressure to the first plane, the driving member is connected to the pressure plate assembly, and is used to drive the pressure plate assembly to move up and down along the guide shaft, so that a pressure measuring space is formed between the first plane and the second plane; an adjustment assembly, which is connected to the four corner positions of the lower pressure platform assembly, and is used to adjust the parallelism between the first plane and the second plane. The present application can ensure that the flexible thin film pressure sensor array is subjected to uniform pressure during calibration, thereby improving the accuracy and consistency of the calibration.

The invention relates to an end sensor, a tactile feedback type interventional catheter and an autonomous navigation method thereof.The end sensor comprises a hemispherical optical waveguide, a compound eye array lens, a multimode optical fiber and an optical fiber image transmitting bundle, the compound eye array lens is arranged at the front end of the optical fiber image transmitting bundle, the hemispherical optical waveguide is arranged in front of the compound eye array lens, and the multimode optical fiber is arranged in front of the hemispherical optical waveguide. Four multimode optical fibers are circumferentially arranged at the bottom of the optical waveguide and couple light into the optical waveguide at a certain incident angle, so that the end surfaces of the optical fibers coincide with the bottom surface of the optical waveguide; the tactile feedback type interventional catheter is internally provided with the end sensor, based on the synergistic effect of a large-angle imaging function provided by a compound eye array lens and a force feedback function provided by light leakage caused by optical waveguide contact, accurate force feedback and contact point positions can be provided through autonomous navigation, a guide wire is not needed to serve as a guide device, and the operation is simple and convenient. The catheter can directly intervene in the blood vessel and feed back mechanical information and position information of contact between the catheter and the blood vessel wall in real time in the interventional process, and the interventional direction of the catheter can be changed according to needs.

The utility model relates to the field of pumping units, and provides a pumping unit dynamic calibration device which comprises a bottom plate, a speed reducer fixedly installed in the middle of the top face of the bottom plate through an installation base, a motor connected to one end of the speed reducer, a supporting rod fixedly installed on the end face of a rotating shaft of the motor, and a magnetic strip fixedly installed on the outer side of the circumference of the supporting rod. A Hall sensor is arranged at the bottom of the magnetic strip, the other end of the speed reducer is connected with an n-shaped frame, a walking beam is rotationally installed at the top of the n-shaped frame, a horse head is fixedly installed at the outer end of the bottom face of the walking beam, a tension meter is installed on the outer side of the horse head, and the Hall sensor and the tension meter are connected to a control console. The magnetic strip can rotate on the Hall sensor, monitoring of the actual rotating speed of the motor is achieved, the tension meter determines force under the no-load and working conditions, dynamic calibration of working of the oil pumping unit is achieved, parameters of the oil pumping unit are better adjusted, and the oil supply capacity of an oil field can be monitored.

The application discloses a control method and system for automatic parking of intelligent networked vehicles, and relates to the technical field of electric vehicle control. The control method for automatic parking of intelligent networked vehicles comprises the following steps: monitoring of strong light interference of parking space image data; monitoring of accuracy of parking space image data collection; and monitoring of automatic parking operation. The application determines whether strong light interference of parking space image data needs to be optimized according to the strong light interference degree evaluation result of the parking space image data, then determines whether accuracy of parking space image data collection needs to be optimized according to the accuracy deviation result of the parking space image data collection, and finally determines whether automatic parking trajectory correction optimization needs to be taken according to the automatic parking effectiveness evaluation result. The application improves the accuracy of automatic parking of intelligent networked vehicles, and solves the problem of the decline in the accuracy of automatic parking of intelligent networked vehicles caused by strong light interference of parking space image recognition in the prior art.

This invention discloses a navigation and positioning method, system, device, and storage medium for a substation inspection robot. The method includes: deploying RFID tags with known global coordinates at key locations along the substation inspection path, and simultaneously acquiring environmental images and RFID tag information during the robot's movement; calculating the robot's relative position based on environmental image features and camera calibration parameters, and fusing odometer data to generate a preliminary pose; when an RFID tag is detected, performing absolute correction on the current pose using its global coordinates as a reference; generating an obstacle avoidance path based on the corrected high-precision pose and the task objective, driving the robot to perform the inspection, and uploading the positioning results and trajectory information to a monitoring center to achieve closed-loop control. This invention enables intelligent, autonomous, and precise operation of the inspection robot within the substation.