143results about How to "Reduce calibration workload" patented technology

The invention provides a variable-focus monocular and binocular vision sensing device comprising a mirror image type optical system, a high-precision bearing holder, an image acquisition system, a digital information processing device and other parts. The variable-focus monocular and binocular vision sensing device can guarantee that a variable-focus image sensor (a CCD (Charge Coupled Device) or an analog video camera) mounted on the high-precision bearing holder can be accurately located at a certain required monocular vision preset station, and can automatically regulate the focus to the required value so as to perform monocular vision measurement or guidance work; the variable-focus monocular and binocular vision sensing device also can accurately locate the image sensor at the unique determined binocular vision preset station, and can automatically regulate focus to the required value, and thus, the image sensor and the mirror image type optical system jointly form a binocular vision sensing system, and sequentially, the function of binocular vision guidance or measurement is realized; and moreover, the variable-focus monocular and binocular vision sensing device can realize automatic switching between a monocular vision station and a binocular vision station through programming of the digital information processing device according to the task requirements, so as to realize the functions such as monocular and binocular vision measurement, guidance or obstacle avoidance.

The invention provides a sensor calibrating method and a device. The sensor calibrating method comprises the following steps of: obtaining the mounting data of the multiple sensors; acquiring the testdata collected by the multiple sensors mounted in an autonomous vehicle according to the mounting data, and calibrating the multiple sensors according to the test data. The sensor calibrating methodcan solve the problem that the method for acquiring the internal and external parameter information of the above sensor by means of a software calibration is not suitable for a large number of truck to load and use since the calibration is cumbersome, the efficiency is low, the period is long, the calibration of the parameter accuracy is difficult and the index quantification is difficult. According to the sensor calibrating method, the time cost in the sensor calibrating process can be reduced, which facilitates the rapid integration of the sensor on the autonomous vehicle.

The invention discloses a double-clutch type automatic transmission fork shifting gear engaging force dynamic self-adapting method. The fork shifting is divided into a plurality of stages during the gear shifting process. The double-clutch type automatic transmission fork shifting gear engaging force dynamic self-adapting method comprises the following steps of (1) obtaining ranges of a maximum value and a minimum value of a preset shifting fork movement speed at different stages during fork shifting gear engaging; (2) computing a shifting fork real-time movement speed and confirming a maximum value and a minimum value of the shifting fork movement speed at the different stages during the fork shifting gear engaging; (3) comparing the maximum value and the minimum value of the shifting fork movement speed with the range of the maximum value and the minimum value of the preset shifting fork movement speed at the same stage, obtaining the fork shifting gear engaging force to be adjusted and the stage and recording and adjusting the fork shifting gear engaging force when the shifting fork gear shifting achieves a corresponding stage. The double-clutch type automatic transmission fork shifting gear engaging force dynamic self-adapting method is applied to control of a double-clutch automatic transmission and achieves vehicle gear shifting noise optimization.

The invention provides a model-based gasoline engine calibration method, belongs to the technical field of gasoline engines, and designs and develops a statistical model based gasoline engine calibration method mainly for a dynamic property optimized calibration process of a gasoline engine. The model-based gasoline engine calibration method comprises the following steps: (1), design of test operating points, (2) establishment of a mathematical statistics model and (3), optimization of calibrating procedure design, wherein firstly, relatively fewer test points can be selected in a test design phase so as to reduce workload; then an engine statistical model is established with a mathematical statistics method after related data are acquired; and finally, optimized calibration is performed on the basis of the statistical model. Under the premise that the performance of the gasoline engine is improved without loss of calibration accuracy, the model-based gasoline engine calibration method has the advantages as follows: time is saved, the cost is reduced, the output torque is increased, and the problems that the traditional manual calibration method is time-consuming, labor-consuming and low in efficiency and the conventional automatic optimized calibration equipment is complicated in technology and expensive are solved.

The invention discloses a model-based decoupling and disturbance-rejection control method for HCCI. The method comprises model-based decoupling control, active disturbance rejection control (ADRC), feed-forward control and self-adaptation compensation control for valve mechanism action delay. The method comprises the steps of designing a decoupling compensator on the basis of a control model of the HCCI, and converting an HCCI system into a plurality of independent single-input single-output (SISO) systems; conducting inversion on transfer functions of all SISO systems to obtain a feed-forward controller; designing ADRC controllers for all SISO systems respectively, and observing and compensating deviations of the model and random disturbance of the outside in real time; and estimating the action delay of a valve mechanism in real time, actively delaying an oil injection action, and obtaining the response speed which is the same as that of the valve mechanism. By the aid of the method, the modeling burden of the HCCI control model and the standard workload of controller parameters can be reduced greatly, the robustness for engine working condition variations is high, and the ignition process control is stable.

The invention provides a tube truss manufacture process which comprises the steps as follows: blanking of steel tubes, positioning of intersecting points of tube fitting, welding of tube fitting, calibrating of members, pre-assembling, and disassembling of the pre-assembled truss, wherein all the manufacturing and processing links are carried out in sequence. The manufacture process has the advantages as follows: the assembly precisions of intersecting ends and intersecting holes are high; the size deviation is small; a truss body can be assembled quickly; the workload of calibration is small; formation of physical appearance is good; workload and time for polishing are greatly reduced; the quality of construction and formation can be guaranteed; smoothness and progression of all manufacture links are guaranteed; total construction period is guaranteed; material cost of manufacturing of the tube truss can be saved; inputs of manpower and goods and materials are saved; and economical effects of production are improved.

The invention discloses a device of testing horizontal fog scale distribution and a method thereof. The device comprises a horizontal fog collecting box array, a longitudinal and horizontal displacement mechanism, a partition liquid absorption type automatic liquid discharging system, a control system and a non contact type liquid level detection device; the horizontal fog collecting box array is formed in a manner that a plurality of square fog collecting boxes are arranged seamlessly in a form of line and column matrixes, and a corresponding liquid collecting unit array is arranged under the horizontal fog collecting box array; routing inspection of liquid collecting quantity is finished before fog scale distribution test; the horizontal fog collecting box array is used as a fog drip deposition plane for fog spraying, and the fog drips are collected in the corresponding liquid collecting unit; routing inspection of liquid collecting quantity of the liquid collecting unit array is carried out again, and a central processing unit (CPU) automatically calculates difference between detection results of the two liquid collecting quantities as the final liquid collecting quantity of each liquid collecting unit; and the automatic liquid discharging system is used to discharge collected liquid in each liquid collecting unit, and the CPU minimum system arranges fog scale distribution test results to obtain two-dimensional fog scale distribution information, so that the device and the method can be widely applied to automatic test of horizontal fog scale distribution uniformity of various fog spraying machineries.

The invention discloses equipment and a method for controlling a high-pressure common rail system of a diesel engine. The equipment comprises a working condition parameter acquisition device, a controlled quantity confirmation device and a driving signal confirmation device, wherein the working condition parameter acquisition device is used for acquiring working condition parameters related to the high-pressure common rail system; the controlled quantity confirmation device is coupled to the working condition parameter acquisition device and is used for confirming the controlled quantity used for controlling the high-pressure common rail system according to the working condition parameter, the target value of the intracavity fuel pressure of a high-pressure common rail pipe and a control module designed on the basis of a physical model of the system, wherein the controlled quantity is the equivalent cross-sectional area of a solenoid valve of a flow-measurement unit; and the driving signal confirmation device is coupled to the controlled quantity confirmation device and is used for confirming a driving signal, which is used for driving the flow-measurement unit, according to the confirmed controlled quantity. According to the implementation mode, the invention is suitable for the work processes of the system under any working conditions, more precise injection pressure and the rapid response can be realized, the deviation between the rail pressure and the target value of the rail pressure is reduced, the demarcated workload can be reduced and the functions of the system are improved.

The invention provides a nonlinear cooling optimization method for a power battery of a new energy automobile. Firstly, a lithium ion battery concentrated mass thermal model under a new energy automobile liquid cooling condition is established, and the model considers the change of battery internal resistance along with temperature and the change of a heat transfer coefficient along with the flowrate of cooling liquid, so that the requirement on battery temperature influence factor analysis in the cooling process can be met; secondly, a nonlinear cooling optimization strategy which comprisesthe design of a steady-state control law, the design of a reference variable feedforward control law and the design of an error feedback control law is proposed. The method guarantees the accuracy ofthe model, facilitates the research of the overall performance of the lithium ion battery and related influence factors, guarantees the steady-state closed-loop performance of the system, facilitatesthe enlargement of the engineering application range of the controller, can effectively adjust the temperature of the battery, prevents thermal runaway, and guarantees the safety of the power batteryof the electric vehicle.

The invention provides a six-dimensional force sensor calibration device. A six-dimensional force sensor comprises a sensor elastomer, and a force bearing hole is formed in the center of the sensor elastomer; and the six-dimensional force sensor calibration device comprises a rack, a rotating mechanism, a force bearing device, a first loading device, a second loading device, a third loading deviceand a control system. According to the six-dimensional force sensor calibration device, force/moment input and output of all dimensions are accurately measured by synchronously loading the two ends of the six-dimensional force sensor elastomer; the modes of fixing force sources and moving a to-be-calibrated sensor are adopted, and whole calibration can be completed only by the five force sourcesand once moving of a rotary platform; the rotary platform can rotate electrically and is limited automatically, the loading devices and a force bearing shaft can rotate synchronously, thus the difficulty of manual operation is lowered, personal errors are avoided, and calibration repeatability is good; and springs are adopted as force accumulation elements, the instable error of motor rotation isavoided, and synchronous calibration of the loading process and the unloading process is achieved.

The invention discloses a method for calibrating the spectral wavelength of an optical grating rotary light splitting spectrograph. The method is characterized in that a relation between the optical wavelength and reading of an optical encoder is derived by using an optical grating equation working under a Littrow condition, and a theoretical calibration model is established; spectral wavelength calibration is carried out by using a two-point equation solving method; and finally, initial wavelength positioning is carried out by using calibration parameters in order to ensure the consistency in target position when different spectrographs measure gratings with the same wavelength. The method disclosed by the invention has the advantages that (1) the calibration steps are simple and effective, and the calibration workload and the calculation amount are reduced under the premise of ensuring the calibration precision; (2) the calibration work can be completed by only using two standard light sources with different wavelengths under the premise of ensuring the accuracy of the wavelength, the calibration time is short, the calibration efficiency is high, and the calibration cost is low; and (3) the calibration model is established through known theories, curve fitting is not required to be adopted, factors, which influence calibration, among different spectrographs are considered comprehensively, calibration is carried out more reasonably and more feasibly, and the calibration precision is higher.

The invention discloses a method for acquiring a coordinate transformation matrix and positioning a target in a monitoring picture, and the method comprises the steps: controlling a camera to move toa preset PTZ position, and enabling the PTZ position to serve as a calibration scene; selecting at least one calibration point from the calibration scene; obtaining pixel coordinates of a calibrationpoint in a camera coordinate system corresponding to the camera in the calibration scene; acquiring GPS information of the calibration point and GPS information of the camera; establishing a world coordinate system by taking the projection point of the camera on the ground as an original point, and calculating the world coordinate of the calibration point by utilizing the GPS information of the calibration point and the GPS information of the camera; calculating to obtain an external parameter matrix of a world coordinate system and a camera coordinate system by utilizing the world coordinatesof the calibration points and the pixel coordinates of the calibration points. The PTZ position does not need to be adjusted for multiple times, the calibration workload is reduced, the world coordinate of the target point can be converted into the pixel coordinate by utilizing the external parameter matrix of the conversion relationship between the world coordinate system and the camera coordinate system, and the difficulty of positioning calculation is reduced.

The invention discloses a high-precision infrared radiation measuring method. The method comprises the steps of system working point calibration; raw data preprocessing; calculation of theoretical pixel radiation quantity; construction and training of a recurrent neural network; prediction of the pixel radiation quantity by using the trained network; inversion of target radiation information according to the pixel radiation quantity; during radiation measurement, the integral time can be continuously and dynamically adjusted. According to the method, calibration data of different integral times and different temperatures is integrated into a whole database, by means of a neural network loss function and an error back-transfer mechanism, various parameters reflecting linear and nonlinear response characteristics of the detector are learned, the correlation of the calibration data of different integral times and different temperatures is fully exploited, resistance to systematic random errors during calibration is stronger, the network obtained by training has good generalization and nonlinear regression ability, and the radiation quantity with un-calibrated integral time and temperature points in the work range can be accurately predicted.

The invention provides a heat dissipation control method and device for a vehicle-mounted fuel cell, belongs to the technical field of fuel cell temperature control, and aims to solve the problems that heat dissipation control in the prior art is relatively high in difficulty and cannot be compatible. The method comprises the following steps that: the real-time water temperature at a cell stack cooling liquid outlet at the current moment is acquired; the difference value between the real-time water temperature and target temperature is input into a temperature control model, the initial rotating speed of a cooling fan is obtained, and the cooling fan is controlled to be started and operates at the initial rotating speed; the real-time water temperature change at the cell stack cooling liquid outlet after the cooling fan operates is monitored; according to the real-time water temperature change, whether the current working condition meets a feed-forward updating requirement or not is judged, if the current working condition does not meet the feed-forward updating requirement, feed-forward parameters in the temperature control model are kept unchanged, and the cooling fan is controlled to operate at the original rotating speed, and otherwise, the feed-forward parameters are updated according to a preset rule, the new rotating speed of the cooling fan is obtained, and the cooling fan is controlled to operate at the new rotating speed. The method and device can automatically adapt to factors such as environment temperature, vehicle speed, altitude and the like.

In a correction method and apparatus for a magnetic resonance diffusion weighted imaging image, a diffusion weighted imaging image is corrected based on a launch site correction factor and/or a receiving field correction factor. The launch site correction factor is used for correcting inhomogeneity of a launch site, and the receiving field correction factor is used for correcting inhomogeneity of a receiving field. The imaging sequence of the diffusion weighted imaging image is thereby improved and the corresponding image reconstruction of the diffusion weighted imaging image, and the homogeneity of the diffusion weighted imaging image also can be improved, without measuring the intensity of the launch site, which significantly reduces the correction workload and is easy to automate.

The invention discloses an online learning method for an optimal operating line (OOL) of an engine of a series-parallel hybrid vehicle, belongs to the technical field of energy efficiency optimizationof hybrid vehicles, and aims to provide the online learning method which is used for the OOL of the engine of the series-parallel hybrid vehicle, uses the measurable engine rotation speed in a hybridpower system as the correcting value, takes fuel consumption minimization as the target, performs updating and optimization on the engine rotation speed during continuous smooth output of the engineby the aid of the gradient descent algorithm and searches the optimal working point of the engine under the current power demand in real time so as to improve the fuel economy of the whole vehicle. The method includes the steps of an information acquisition module, an engine fuel consumption gradient estimation module, the online learning process for the OOL of the engine fuel consumption gradientand a motor torque control module of the series-parallel hybrid vehicle. By the aid of the method, the online learning efficiency for the optimal operating working curve of the vehicle is improved effectively. The relatively accurate OOL can still be provided for an energy management system by the engine in real time under the influence caused by factors such as environmental migration, aging andthe like, so that the optimal fuel economy of the whole vehicle can be guaranteed.

The invention provides a control method and control system of unmanned helicopter engine constant rotation speed. The method comprises the steps of detecting the average rotation speed and instantaneous rotation speed of an engine; adjusting the opening of a throttle plate according to the difference value of the average rotation speed of the engine and the target rotation speed of the engine and the current flying state information of an unmanned helicopter engine; determining the fuel injection quantity and fuel injection time according to the adjusted throttle plate opening and the state information of the engine; correcting the fuel injection quantity and fuel injection time or gas supplementation quantity according to the instantaneous rotation speed of the engine; and controlling fuel injection according to the corrected fuel injection quantity and fuel injection time, and controlling gas supplementation according to the gas supplementation quantity. According to the control method and the control system, the stability of the rotation speed of the engine can be improved, additional cost is not required to be added, the calculation amount is low, and the response speed of the system is high.

The invention discloses a measuring device for wind speed of a pulverized coal pipeline. The measuring device comprises a first measuring pipe, a second measuring pipe and a seal head. The first measuring pipe and the second measuring pipe simultaneously extend into the pulverized coal pipeline and are arranged side by side to form a group of back-to-back pipes, the seal head is used for being fixedly connected with the pulverized coal pipeline, and the back-to-back pipes are simultaneously penetratingly arranged in the seal head and are slidably movably connected with the seal head. The effective measurement length of the measuring device can be changed, the measuring device can be reused, and coefficients only need to be calibrated at one step when the measuring device is delivered from a factory, so that the measuring device is high in utilization efficiency and low in manufacturing cost.

The invention discloses an optical path system and a laser radar. The optical path system comprises a first light path and a second light path. With the optical path system, the vertical resolution and the refresh rate can be improved. The laser radar comprises a laser emission source, a galvanometer or a multi-surface reflecting prism, a light path system, a horizontal rotating structure and a motor control module. With one laser emission source, the cost and the calibration workload can be greatly reduced; meanwhile, the rotary multi-surface reflection type prism or galvanometer and the optical path system are adopted; a plurality of laser beams can be distributed in the horizontal direction and the vertical direction; the horizontal and vertical resolution of the laser radar is improved; and the technical parameter requirements of the multi-line laser radar of the multi-path emitter are met. The motor control module drives the horizontal rotating structure to rotate and thus the laser emission source and the galvanometer or the multi-surface reflecting prism are driven to rotate synchronously, so that 360-degree three-dimensional scanning is achieved. The optical path system andthe laser radar are applied to the field of detection.

The invention discloses a high-pressure common rail system oil inlet metering valve flow control system and a control method. A flow calculation module, a variable structure PID module, a displacementcalculation module and a drive calculation module are in signal connection with a fuel oil temperature sensor, a rail pressure sensor, a rotating speed sensor, an accelerator opening degree sensor and a barometric pressure sensor which are arranged inside an electronic control diesel engine. The high-pressure common rail system oil inlet metering valve flow control system and the control method have the advantages that no special position sensor or flow sensor needs to be adopted, the existing fuel oil temperature sensor, the rail pressure sensor, the rotating speed sensor, the accelerator opening degree sensor and the barometric pressure sensor of the electronic control diesel engine are directly used as signal sources for oil inlet metering valve flow control, no existing system structure needs to be changed, convenience and feasibility are achieved, cost is low and implementation can be facilitated.

The invention discloses a calibration method of a five-hole probe. The method comprises the steps: determining a function relation between Mach numbers and all characteristic parameters based on a plurality of characteristic curves for calibrating the Mach numbers; and based on the function relation between the Mach number and each characteristic parameter, determining a characteristic curve of each Mach number in a to-be-calibrated range. In the invention, calibration is carried out under a plurality of pieces of angle position information of each mach number; for each angular position information, based on the characteristic parameters of each Mach number under the angle position information, the function relation between the Mach number under the angle information and the characteristicparameters is determined, and based on the function relation, the characteristic parameters of the Mach number to be calibrated under the angle position information are determined, and during measurement, the Mach number is close to a real value from an initial value through oscillation till that a precision requirement is met. Therefore, on the premise of ensuring the precision, the calibrationof one Mach interval is realized, a calibration workload of the five-hole probe before use is reduced, and an application range of the five-hole probe is expanded.

The invention discloses a hybrid electric vehicle calibration parameter optimal value determination method considering working conditions, and relates to the technical field of hybrid electric vehicles. The method comprises five steps of establishing a calibration parameter optimal value model, analyzing internal and external causes of the calibration parameter optimal value, synthesizing drivingconditions and selecting condition characteristic parameters, performing multiple linear regression analysis and ridge regression analysis, and determining the calibration parameter optimal value related to the automobile driving conditions. The optimal value of the calibration parameter is determined by taking the optimal economy of the whole vehicle as a design principle; internal and external causes of the optimal value of the calibration parameter are analyzed, the optimal calibration parameter value related to the attribute of the vehicle and the optimal calibration parameter value related to the driving working condition are screened out, the method for determining the optimal calibration parameter values of the two types is explained, the direction is pointed out for the parameter calibration path of the hybrid electric vehicle considering the working condition, the parameter calibration workload is reduced, and the calibration efficiency is improved.