23results about How to "Efficient calibration" patented technology

The invention discloses an automatic verification device and method for a weighing coal feeder device. The automatic verification device comprises a weight calibration system, a weight verification control system, a sensor calibration system and a weighing coal feeder. According to the invention, the weight of the standard weight most suitable for the current calibration requirement is dynamically calculated and selected through the weight calibration system based on historical data, environmental parameters and the like of the weighing sensor, so that the calibration precision and flexibility are greatly improved, and variable working condition requirements can be met; according to the invention, an automatic weight verification control system is designed, horizontal displacement, lifting adjustment and state switching of the weight are realized, and the calibration process is fully automatic; the output data of the sensor are collected in real time through the sensor calibration system, dynamic correction is carried out in combination with multiple times of weighing error calculation and historical data, drift and error trends of the weighing sensor are analyzed in real time in combination with parameters such as temperature, humidity and vibration, and error correction values are generated, so that the accuracy of weighing data is ensured.

The invention discloses a photoacoustic cell resonance characteristic measurement classification method based on frequency sweep modulation, and relates to the technical field of photoacoustic cells, and the method comprises the following steps: collecting photoacoustic signal data, and transmitting the data to a data management center, the photoacoustic signal data comprising historical data and real-time data, the collected photoacoustic signal data is preprocessed and analyzed, resonance characteristic interference factors are extracted, the resonance characteristic interference factors comprise a temperature interference factor, a humidity interference factor and an electromagnetic interference factor, and the change curve of the resonance amplitude and the resonance frequency of the photoacoustic cell is analyzed. By measuring and calibrating the temperature in real time, the resonance characteristics of the photoacoustic cell at different temperatures can be accurately reflected, so that the accuracy and stability of measurement are improved, the photoacoustic spectrum system can stably operate under wider environmental conditions, and the reliability and durability of the photoacoustic spectrum system in practical application are improved.

The invention relates to the technical field of multi-beam sounding calibration, and discloses a multi-beam sounding online real-time calibration method. The method comprises the following steps: acquiring original water depth data and corresponding sensor attitude data in real time; generating a data quality evaluation result containing a data credibility index and a data abnormal distribution feature based on the original water depth data; triggering a dynamic calibration mechanism containing a calibration period adaptive adjustment strategy and a calibration parameter optimization rule according to the data credibility index; optimizing the target calibration rule parameters in combination with the sensor attitude data to generate an optimized calibration parameter set, and correcting the original water depth data in real time by using the parameter set to generate primary calibration data; and performing topographic feature consistency check on the primary calibration data, if the primary calibration data does not pass the topographic feature consistency check, starting a re-calibration process containing a rule base updating mechanism and a parameter iteration mechanism, and analyzing a deviation trend based on historical calibration records to generate a system error prediction model.

The invention belongs to the technical field of laser radars, and provides a laser radar calibration method and device, computer equipment and a storage medium, and the method comprises the steps: rotating a laser radar, enabling a light spot emitted by an nth emitter of the laser radar to irradiate a detection region of a calibration plate with a known size from an original position, rotation data generated when the laser radar rotates the nth transmitter is recorded; based on preset data parameters of the calibration plate, target light spot image coordinates corresponding to laser beams emitted by the emitters, and rotation data generated by the motor, a corresponding real emitting angle of a light spot emitted by a single emitter at an original position is obtained. The emergent angle of the laser radar transmitter can be calibrated more efficiently by using the real emergent angle, and the real performance of the laser radar is restored.

The invention relates to the technical field of intelligent logistics navigation laser radars, in particular to a wheel type odometer and single-line laser radar combined calibration method, which comprises a calibration environment construction module used for constructing a good calibration environment. The method firstly focuses on the accurate calibration of the internal reference of the single-line laser radar. The step is crucial because the accurate internal reference of the laser radar is the basis of the subsequent calibration work. Through accurate internal reference calibration, the overall calibration error caused by the internal error of the laser radar can be remarkably reduced, and the precision and reliability of the whole calibration system are improved. The accuracy of vehicle navigation can be improved, and more accurate data support can be provided for subsequent intelligent logistics tasks.

The application relates to the field of sanitation operation scheduling, in particular to a sanitation operation scheduling method based on the Internet of Things, which comprises the following steps: determining an iterative stop condition of a load CEEMDAN model based on time local weighted variance of load data, so as to generate vehicle load characteristics; generating vehicle oil consumption characteristics through an oil consumption CEEMDAN model based on statistical values of load data residuals and oil consumption data residuals, so as to calculate oil consumption channel residual signals; generating comprehensive vehicle carrying characteristics through a feature extraction model based on a multilayer perception machine, a gating mechanism and a cross-modal attention mechanism; and generating corrected vehicle garbage load through a long short-term memory network and a fully connected layer architecture. The application realizes efficient noise reduction and accurate decomposition of non-stationary time series data of oil consumption and load, realizes accurate processing of Internet of Things data of garbage transfer vehicles, improves the operation efficiency of the garbage transfer vehicles and reduces the operation cost.

The present invention relates to the technical field of roadside sensors, and specifically discloses an automatic joint calibration method for roadside sensors based on a grid map. The roadside sensor includes a millimeter wave radar and a camera. The millimeter wave radar is used to receive radar points of a target, and the camera is used to receive an image. By establishing a millimeter wave radar grid map A and an image grid map B, and by associating the millimeter wave radar grid map A with the image grid map B, the joint calibration of the roadside sensors is achieved. The present invention can automatically complete the calibration without manual work, and has high efficiency; the method of the present invention does not require characteristic markers, and can automatically perform road test sensor calibration by detecting vehicle targets traveling normally on the road, and has low cost.

The invention discloses a photoelectric load optical axis and IMU deviation calibration device and a calibration and use method thereof, relates to the technical field of optical correction devices, and solves the problems that a traditional photoelectric load optical axis and IMU deviation calibration device is low in precision and cannot be assembled and adjusted in batches. The device comprises a collimator which is internally provided with a detector and a light source; the reflector I corresponds to the first opening; a pentaprism; the semi-transparent and semi-reflective mirror II corresponds to the second opening; a reflector II; the reflecting mirror III corresponds to the third opening; a small reflector I and a small reflector II are adhered to the surface of the IMU; light emitted by the collimator is divided into two beams after passing through the reflector I, the pentaprism and the semi-transparent and semi-reflective mirror II, and one beam of light is emitted to the small reflector I from the second opening and is reflected by the small reflector I to return according to an original light path; and the other beam of light is emitted to the small reflector II from the third opening through the reflector II and the reflector III, and is reflected by the small reflector II to return according to the original light path, and the two beams of returned light are focused at the central position of the detector.

The utility model discloses a calibration device for a trinocular camera on a viewing port of a monocrystalline silicon crystal growth furnace, which relates to the technical field of production of monocrystalline silicon crystal growth furnaces and comprises a triangular support, assembly seats are arranged at the ends of the triangular support respectively, CMOS industrial cameras to be calibrated are movably clamped at the top ends of the assembly seats respectively, optical axes of the CMOS industrial cameras intersect at one point, and the optical axes of the CMOS industrial cameras intersect at the other point. The top end of the triangular support is provided with a first display screen matched with the CMOS industrial camera, and one side of the triangular support is provided with a second display screen. The method has the beneficial effects that the three groups of CMOS industrial cameras to be calibrated do not need to be assembled in a trinocular viewing port for adjustment in all aspects in real time, the debugged CMOS industrial cameras can be directly assembled on the lower furnace body for use, the complexity of the CMOS industrial cameras is simply and conveniently calibrated, the calibration process is more convenient and efficient, and the calibration efficiency is improved. And the calibration angle precision of the three groups of CMOS industrial cameras is improved, and the accuracy and stability of image processing are remarkably improved.

The invention discloses a clock calibration system and method, and relates to the technical field of clock calibration. The clock calibration method performs error analysis by acquiring the clock parameter display time and the real-time display time in real time. If the error exceeds a preset threshold, historical operation, external environment and interference time series data are acquired, and correction analysis is performed to obtain a correction coefficient set. The display time is calibrated based on the correction coefficient at the next time point, and the calibration is ensured to be successful through dynamic cyclic verification. The invention greatly improves the accuracy and comprehensiveness of calibration by comprehensively analyzing the historical operation time series data, the external environment time series data and the external interference time series data. In particular, by calculating the internal circuit correction index, the frequency drift correction index, the environment correction index and the interference correction index, the influence of dynamic factors on the clock time accuracy in a complex environment can be effectively compensated, and the error accumulation and insufficient correction problems that may be caused by a single correction model are avoided.

The application discloses a pressure sensor calibration method, device, capacitive pen and readable storage medium, the method comprises the following steps: acquiring the pressure value currently borne by the pressure sensor, when the pressure value is 0 gram, and the fluctuation range of the output voltage of the pressure sensor is less than a preset threshold, acquiring the first output voltage of the pressure sensor; the second output voltage preset in the register and the third output voltage associated with the model of the pressure sensor are acquired;According to the first output voltage, the second output voltage and the third output voltage, the measured pressure curve of the pressure sensor is determined;Based on the standard pressure curve model, the measured pressure curve is calibrated, and the working pressure curve of the pressure sensor is generated according to the calibration result. The technical problem that the active capacitive pen pressure sensor calibration step is complicated and the time cost is high in the related art is solved, and the calibration pressure sensor is efficiently completed.

The seismic exploration intelligent calibration device comprises a bottom plate, a working barrel is fixedly connected to the center of the upper surface of the bottom plate, a paint spraying opening is formed in the bottom plate, and a paint spraying annular plate is rotationally connected to one side of the inner side wall of the working barrel; the side, close to the paint spraying opening, of the paint spraying annular plate is evenly provided with different-color paint buckets which are used for storing paint of different colors and distributed annularly, and paint spraying nozzles communicating with the different-color paint buckets are arranged at the bottoms of the different-color paint buckets correspondingly. Through cooperation of the bottom plate, the working barrel, the paint spraying opening, the paint spraying annular plate, the different-color paint bucket, the paint spraying nozzle, the perforated annular plate, the different-diameter hole, the driving assembly and the stirring assembly, the device can modify and calibrate the paint color according to different types of calibration points, and meanwhile, the paint spraying specification is modified according to the geologic structure and position of the calibration points; the identification efficiency and accuracy of the calibration points are improved as much as possible, and the risks of data errors and wrong interpretation are reduced as much as possible.

The invention relates to the technical field of detection equipment, in particular to annular metal part inner and outer wall quality detection equipment which comprises a detection table, a conical seat used for bearing an annular metal part is fixedly installed in the detection table, a plurality of rectangular sliding holes are evenly formed in the surface of the conical seat in the circumferential direction, and the rectangular sliding holes are annularly distributed. According to the device, the conical seat is arranged, and the geometrical characteristic that the diameter of the conical surface continuously changes is utilized, so that the annular metal part automatically slides to a stable position along the conical surface under the action of the gravity of the annular metal part; therefore, centripetal force evenly distributed in the whole circumferential direction is formed under the condition that no extra drive or complex adjusting mechanism is needed, it is guaranteed that the circle center of the annular metal part naturally coincides with the axis of the device, and the positioning precision and axis consistency are remarkably improved.

The invention provides a controller calibration method and system, an electronic device and a storage medium, and the method comprises the steps: determining a calibration task type in response to a controller calibration request, determining associated calibration execution steps and calibration error conditions, and closing the connection between a to-be-calibrated controller and a target calibration tool according to the calibration task type. Matching a corresponding preset calibration test data table based on the calibration task type, executing a calibration execution step to obtain a calibration acquisition data table, and if the calibration acquisition data table meets a calibration error condition, calibrating the to-be-calibrated controller; according to the embodiment of the invention, the connection between the controller and the calibration tool is automatically closed, the manual setting step is reduced, the preset calibration test data table is matched according to the calibration task type, and then whether the calibration collection data meets the preset error condition is checked, so that the calibration effectiveness and accuracy can be ensured, and the calibration efficiency is improved. And the automatic process reduces the demand of manual intervention, so that the whole calibration process is more efficient.

The application discloses a kind of industrial robot kinematics parameter calibration method and system based on parameter separation and multi-objective optimization, belongs to industrial robot technical field, by linear-nonlinear parameter separation, introduce multi-objective minimax optimization, effectively handle the non-homogeneity problem of pose information, realize the fast, robust, high-precision robot kinematics parameter identification and compensation.Calibration method includes:1, acquisition robot end in multiple measurement poses under position information;2, the kinematics model of robot is established, and the parameter to be identified is divided into linear set and nonlinear set, to reconstruct separable optimization problem;3, based on the position information collected, construct the multi-objective minimax optimization problem with the optimization worst performance index as the target, by iteration solving linear set and nonlinear set, complete the identification of kinematics parameter;4, the optimal kinematics parameter identified finally is compensated to robot controller, and the kinematics model is updated.

The embodiment of the invention discloses a multichannel signal source phase calibration method and system. The method comprises the following steps: receiving multiple paths of original signals output by a multi-channel signal source and dividing the signals into a reference group and a control group; the method comprises the following steps: selecting original signals from a reference group and a control group, carrying out signal processing, obtaining a phase difference between the original signals, and carrying out phase calibration on a multi-channel signal source based on the phase difference; wherein the signal processing comprises the following steps of: performing signal extraction on original signals selected from a reference group and a control group to obtain a reference signal and a control signal; performing frequency mixing processing on the reference signal and the contrast signal to obtain an intermediate frequency signal; performing voltage extraction on the intermediate frequency signal to obtain a first voltage signal; acquiring a first voltage value of the first voltage signal; a phase difference is obtained based on the first voltage value. According to the method, efficient and accurate phase calibration can be carried out on the multi-channel signal source through signal processing and phase difference calculation, and the system stability is improved.

The present invention discloses a cavity calibration system for three-dimensional coordinate tracking and model analysis of airport pavement, and belongs to the technical field of airport pavement deformation detection. Specifically, it includes a three-dimensional coordinate tracking and calibration vehicle, a data detection processing and transmission component, and a cavity boundary cleaning device. The three-dimensional coordinate tracking and calibration vehicle performs real-time automatic and continuous detection of the test point according to the change of coordinates and the change of the vehicle body angle, and processes the detected data at the same time, and finally determines the deformation of the test point by comparing it with the original three-dimensional model of the airport pavement before the airport pavement is deformed, and inkjet calibration is performed on the cavity edge; the data detection processing and transmission component is used to detect the coordinates of the three-dimensional coordinate tracking and calibration vehicle in real time; the cavity boundary cleaning device is used to clear the debris within the airport pavement cavity boundary before calibration. The present invention can determine the deformation of the airport pavement surface, thereby accurately analyzing the deformation amount of the airport pavement surface and improving the accuracy of cavity detection and calibration.

The present invention discloses a digital key automatic calibration system and method, the system includes a mobile positioning terminal and a calibration terminal, wherein the mobile positioning terminal carries one or more digital keys, the calibration terminal is used to receive calibration instructions, based on the calibration instructions and calibration point values, the mobile positioning terminal is controlled to move to multiple target calibration point positions according to a preset calibration path and complete corresponding multiple calibrations respectively, multiple calibrations constitute a full calibration of a digital key; when the mobile positioning terminal carries multiple digital keys, the multiple digital keys are fully calibrated in sequence. The system avoids the problem of heavy workload and easy errors caused by manual calibration. The system does not require manual intervention, has no dependence on the calibration environment, and can efficiently and accurately complete the calibration of one or more digital keys.

This utility model relates to the field of building installation technology, specifically a high-precision level calibration device for building installation. It includes a sleeve, with telescopic rods slidably installed at both ends inside the sleeve. Placement blocks are fixedly installed on opposite sides of the two telescopic rods. A sector-shaped disk is fixedly installed at the bottom front end of the sleeve, and an angle gauge is provided on the front edge of the sector-shaped disk. This high-precision level calibration device for building installation, through the provided guide blocks and indicator lights, allows installation personnel to easily monitor the level by observing the illumination of the indicator lights during level calibration. This facilitates level calibration and achieves efficient calibration. It solves the problem of low calibration efficiency caused by the small bubble size of bubble levels in bubble levels and the large distance between two cable trays, requiring installation personnel to repeatedly adjust the cable tray level and check the bubble level multiple times when installing the equipment alone.

The present application discloses an oxygen sensor calibration method and related devices, which relate to the field of gas engine control technology and are applied to an engine controller in a gas vehicle. The gas vehicle also includes a gas engine, wherein a single-side oxygen sensor in the gas engine is located in its housing, and the surface of the housing has a plurality of through holes. A branch pipeline is provided on the single-side intercooler intake pipe between the compressor and the intercooler in the gas engine, and the outlet of the branch pipeline faces the oxygen sensor on the opposite side, and a bypass valve is provided on the branch pipeline. Determine the target oxygen sensor to be calibrated; when the engine on the side where the target oxygen sensor is located is in a stable working condition, read and record the first value of the target oxygen sensor, and control the bypass valve on the opposite side to open, and spray compressed gas to the target oxygen sensor through the intercooler intake pipe and the branch pipeline on the opposite side to form a surrounding atmosphere in the housing where the target oxygen sensor is located; perform atmospheric calibration on the target oxygen sensor. This can achieve efficient calibration of the oxygen sensor.

The invention provides a method for measuring a millimeter wave antenna pointing error by using a spread source, which comprises the following steps: scanning a selected calibration source by using a millimeter wave antenna of a telescope, and recording to obtain calibration data, the calibration source being a spread source; and processing the calibration data from the spread source through a deconvolution algorithm, and obtaining the pointing error angles of the current azimuth axis and pitch axis according to a deconvolution result. According to the method for measuring the pointing error of the millimeter wave antenna by using the spread source, through the deconvolution algorithm and the noise suppression technology, the problem of insufficient precision in pointing calibration of an existing millimeter wave radio telescope is effectively solved, the calibration precision of the radio telescope is remarkably improved, and the development of high-frequency-band radio astronomical observation is promoted.

The utility model provides a non-contact type deformation measuring instrument calibrating device which comprises a main frame and a bidirectional lead screw, the lower end of the main frame is provided with a calibrating device base through a bolt, the upper side of the front end of the main frame is provided with a touch screen type liquid crystal display, and the front end of the main frame is provided with a slide way. An upper connecting rod and a lower connecting rod are slidably arranged at the upper end and the lower end of the interior of the sliding way respectively, a first lead screw nut and a second lead screw nut are fixed to the middle of the upper connecting rod and the middle of the lower connecting rod in a penetrating mode respectively, and the design solves the calibration problem of existing non-contact deformation measuring instruments of all types. According to the utility model, through the collaborative design of the dynamic calibration plate system, the high-precision grating ruler and the servo motor drive, the efficient and accurate calibration of the non-contact deformation measuring instrument is realized.

The invention belongs to a hydrological model parameter automatic calibration technology, and relates to a hydrological model automatic calibration method and system oriented to a user-defined context. According to the method, to-be-optimized parameters of a hydrological model specified by a user and a value range of the to-be-optimized parameters are obtained, and the to-be-optimized parameters are optimized by adopting an automatic hydrological model parameter optimization algorithm combining a meta-knowledge base and a Bayesian optimization algorithm. The system comprises a client, an application service layer and a resource layer. By adopting the method and the device, the optimal model parameter combination can be automatically generated only by inputting related parameters and data by a user, efficient calibration and application of the hydrological model are realized, the workload and the time cost of the user can be remarkably reduced, the user can be supported to customize a space range and parameter setting, and personalized requirements are met. According to the method, the meta-learning algorithm and the Bayesian optimization algorithm are combined, the historical optimization result is fully utilized, and the complex hydrological model parameter optimization process is more efficient and automatic.