67results about How to "Shorten the calibration cycle" patented technology

The invention belongs to an inertial navigation technology, particularly relates to an automatic calibrating and compensating method of an onboard mounting deflection angle of a strapdown inertial navigation system. By using the automatic calibrating and compensating method of the onboard mounting deflection angle of the strapdown inertial navigation system, designed by the invention, only one normal compass alignment and navigation is needed after a bracket of the strapdown inertial navigation system is firstly installed on an aircraft, the posture and the heading output by the strapdown inertial navigation system are compared with the reference posture and heading, and the coordinate system of the bracket of the strapdown inertial navigation system and the mounting deflection angle of an aircraft system are automatically calibrated and are stored in a storage unit of the strapdown inertial navigation system. The mounting deflection angle is precisely compensated in the normal working process of the strapdown system through designing a mounting deflection angle compensating algorithm in strapdown inertial navigation system software, and the requirement of the aircraft for the output display and control of the posture, the heading and other navigation parameters of the strapdown inertial navigation system is met.

The invention relates to a method for measuring the sensitivity of an electronic manometer, which belongs to the technical field of electronic measurement. The method comprises the following steps: a pressure value with the measuring pressure of full scale is selected as base measuring pressure; dynamic calibration to the electronic manometer to be calibrated is carried out respectively under normal temperature, high temperature and low temperature environments; under the condition that three sets of standard pressure-measuring systems and the electronic manometer to be calibrated are all effectively calibrated, an average pressure curve measured by the three sets of standard pressure-measuring systems and the rising edge data of the curve measured by the calibrated electronic manometer are utilized to compute to obtain the sensitivity of calibrated electronic manometer. The method of the invention has simple operation, the calibration only needs to be carried out for three times respectively under the normal temperature, the low temperature and the high temperature, the sensitivity coefficient of the electronic manometer under the three temperature environments can be obtained by the calibration of nine times; compared with the existing measuring method, the method of the invention lowers the calibrating period, improves the working efficiency, reduces the testing expenses and the item cost, has precise and reliable result, and is the result of innovative thinking. The method for measuring the sensitivity of the electronic manometer is worthy of being adopted and generalized in the industry.

The invention provides a method for calibrating vehicle demanded torque and a torque calibration device and aims to solve the problem in the prior art that calibration of torque demanded by a vehicle worming function is difficult. The method comprises the steps that balance torque of a vehicle running at a target speed is determined, wherein the balance torque is the torque provided to overcome friction demands during running at the target speed; temporary acceleration for vehicle starting is determined; according to the temporary acceleration and the target speed, an acceleration curve demanded during the course from starting to reaching of the target speed under a vehicle worming state is calibrated; and according to the calibrated acceleration, mass of the vehicle and the balance torque, a demanded torque curve for the course from starting to reaching of the target speed under the vehicle worming state is calibrated.

The invention discloses an automobile air conditioner refrigerant charge quantity calibration method. First of all, an accurate environment simulation chamber used for simulating an actual operation state of a vehicle, a refrigerant recovery charge machine used for recovering and charging a refrigerant and a data acquisition instrument used for acquiring temperature and pressure data are provided; the vehicle is fixed in the accurate environment simulation chamber, the vehicle is enabled to run under a preset working condition, a fixed quantity of the refrigerant is charged every preset time, and condenser outlet pressure, condense outlet temperature, each air outlet temperature of a blowing surface in the vehicle and an external circulation inlet temperature are respectively acquired through the data acquisition instrument; and a relation curve between a condenser outlet subcooling degree and the condenser outlet pressure and a refrigerant charge quantity is drafted, and then, an optimal refrigerant charge quantity of an air conditioner system is obtained through calculation. The automobile air conditioner refrigerant charge quantity calibration method can obviously shorten the calibration period and improves the accuracy of refrigeration calibration to a quite large degree.

The invention discloses a thrust balance multivariate calibration method capable of completely simulating a test state. The method comprises the following steps: acquiring six component bridge signal output values of a thrust balance, a balance body temperature value and a balance internal pressure value in real time; and substituting the values acquired in real time into a pre-established thrust balance calibration formula, and calculating and obtaining corresponding three force loads and three moment loads, wherein the thrust balance calibration formula is a relational expression between each component bridge signal of the thrust balance and three forces, three moments, one pressure and one temperature applied to the thrust balance, and totally comprises 62 coefficients. According to the method, the loaded condition of the thrust balance in the test process can be completely simulated in the calibration stage, so that the calibration state is completely consistent with the actual use state, the measurement error caused by incomplete or inconsistent simulation calibration elements is avoided, the fine measurement level of the balance of the type is improved, and the data quality of the wind tunnel test can be greatly improved.

The invention discloses an AMT automatic gearbox power transmission system assembly testing platform. The AMT automatic gearbox power transmission system assembly testing platform comprises a power supply system, a driving motor system, a transmission system, a power measurement system and a data collection control system, wherein the power supply system comprises a power battery pack and a testing power supply, the power battery pack or the testing power supply is connected with a battery management system through a power line, and then a communication way is transformed into CAN total communication through a signal conversion device A. The driving motor system comprises a motor. By means of the AMT automatic gearbox power transmission system assembly testing platform, an advanced, seriesand high-performance electric vehicle is developed, a complete perfect full electric vehicle development process is built, and the solution that the an AMT gearbox is mounted on the electric vehicleis provided. Therefore, the vehicle testing and calibration periods are shortened, and the electric vehicle development risk and cost are reduced.

The invention discloses an intelligent driving vehicle transverse control method. The method comprises the steps of: establishing a transverse control feedforward control system model, a feedback control system model, a feedforward control torque calibration simulation model and a feedback control torque calibration simulation model; performing first parameter adjustment on the feedforward controltorque calibration simulation model and the feedback control torque calibration simulation model; performing real vehicle verification on feedforward control and feedback control torque calibration simulation model parameters obtained by first parameter adjustment; changing different expected working conditions to repeatedly execute the verification steps, calibrating parameters of the feedforward control and feedback control torque calibration simulation model under different expected working conditions, and obtaining optimal parameters of the feedforward control and feedback control torquecalibration simulation model; and performing parameter optimization on the feedforward control torque calibration simulation model and the feedback control torque calibration simulation model by usingthe optimal parameters, and performing simulation debugging on the remaining uncalibrated parameters to obtain all calibration parameters. The invention further discloses an intelligent driving vehicle transverse control system.

The invention discloses a collision analogue simulation method for an automobile foamed plastic material. The method comprises the following steps: carrying out a foamed plastic material sample-levelmaterial test to obtain material data including test force-displacement curves under different test force states and the failure strain of the material under different stress states; establishing an MAT*_083 material card and an MAT*_ADD_EROSION material card of the foamed plastic by applying LS-DYNA finite element analysis software in combination with the material data obtained in the step S1, and determining parameters required to be calibrated by the material cards; establishing a material test simulation model, and carrying out material test calibration including a non-failure part and a failure part; carrying out a foamed plastic high-speed impact test, substituting the calibrated material card into the foamed plastic high-speed impact simulation model, and determining a final foamedplastic high-speed impact test simulation model through foamed plastic test calibration. According to the invention, the accurate analogue simulation of deformation and fracture failure characteristics of an automobile foamed plastic material can be realized.

The embodiment of the invention provides a multi-sensor joint calibration method and device, a storage medium and a program product, and the method comprises the steps: calibrating each sensor according to a calibration object in a calibration field, obtaining a first pose conversion relation between a sensing coordinate system of the sensor and a world coordinate system of the calibration field, according to the first pose conversion relations corresponding to the sensors, second pose conversion relations between every two sensing coordinate systems of the sensors are calculated, and a calibration result is determined according to the multiple second pose conversion relations. According to the embodiment of the invention, each sensor is calibrated through the calibration object in the calibration field, the conversion relation between the sensor coordinate of each sensor and the world coordinate system of the calibration field is obtained, the conversion relation between every two sensors can be rapidly obtained on the basis, the whole vehicle calibration is completed, and the calibration efficiency is improved. The calibration period of whole vehicle calibration can be greatly shortened, and the calibration efficiency is improved.

The invention discloses a laboratory calibration method for soil moisture sensors. After the volume weights and volume moisture contents of fitting point soil samples and verifying point soil samples are set, the soil samples are evenly mixed with water, next soil samples are made by recycling the made soil samples, the original measured frequency values of the soil moisture sensors are recorded in sequence at the same time, data is fit with Matlab software, and a calibration equation is obtained finally. By means of the calibration method, the calibration period can be shortened, and the workload can be reduced; besides, data output by the calibrated sensors finally is high in precision and small in error.

The invention discloses an offset correction system and an offset correction method for a tower-type heliostat. The offset correction system comprises a light filter device, a heliostat, an offset correction system body, a control system and a drive mechanism, wherein the light filter device is positioned on the surface of the heliostat; the offset correction system is used for sending offset of the heliostat to the control system; the control system is used for controlling motion of the drive mechanism; and the drive mechanism is used for driving the heliostat to move according to an instruction output by the control system. The offset correction system solves the technical problems that a current tower-type heliostat is long in check cycle and is poor in timeliness of check results. By applying the offset correction method for the tower-type heliostat, offset correction can be simultaneously carried out on a plurality of heliostats without mutual influence, so that the check cycle is shortened.

The invention discloses a sequential control operation ticket non-power-failure checking method and system, which simulate a plant station, replace actual physical devices to communicate with a sequence control host, overcome the defect that partial power failure needs to be performed in turns in an existing sequence control operation ticket checking scheme, are completely consistent with a one-key sequence control actual operation process, are convenient and fast to implement, and improve the checking efficiency. The problems that a traditional checking mode does not have power failure ticketchecking conditions and is too long in checking period are solved, the checking period of sequential control operation tickets is shortened, the operation and maintenance work efficiency of a transformer substation is improved, one-key sequential control technology application is deepened, and safe and efficient operation of a power grid is guaranteed.

The invention discloses a modeling method of a laser arc composite heat source based on an energy distribution coefficient in the technical field of laser welding, and aims at solving the technical problems that in the prior art, the heat source checking period is long during welding simulation, and the shape goodness of fit of a simulated molten pool and an actual molten pool is not high. The method comprises the steps of acquiring the parameters of an actual molten pool; constructing a laser arc composite heat source model based on a pre-constructed energy distribution coefficient model between any two component heat sources, acquiring the parameters of a simulated molten pool based on the laser arc composite heat source model; and comparing the parameters of the simulated molten pool with the parameters of the actual molten pool to obtain the goodness of fit of the simulated molten pool relative to the actual molten pool, judging whether the goodness of fit reaches a preset threshold value or not, adjusting the heat source parameters, and taking the laser arc composite heat source model when the goodness of fit reaches the preset threshold value as a final model of the laser arccomposite heat source.

The invention relates to the field of welding machining, in particular to a method for determining energy distribution of a composite heat source and a welding simulation method. The method for determining the energy distribution of the composite heat source comprises the steps that selecting a section at a welding position, and obtaining a molten pool graph on the section; dividing the molten pool graph into different sub graphs according to various geometrical shapes; calculating an energy distribution coefficient of the sub-graph; and calculating an energy input value of each sub-graph. Theenergy input value is close to the actual energy input quantity; when heat source checking is carried out, using the energy input value as an initial value to be imported into a heat source model. Compared with a molten pool graph obtained through numerical calculation and a molten pool graph of an actual workpiece, basic matching can be achieved only through fine adjustment of relevant heat source parameters such as an energy input value, complex repeated adjustment is not needed, the checking period of the composite heat source is greatly shortened, and then the time consumption of the whole welding simulation is shortened.

A voltage sensor suitable for field measurement of a transformer substation comprises a grading ring, a primary voltage sensing unit, an acquisition transmission unit and an elevating platform. According to the voltage sensing unit, a high-voltage capacitor and a low-voltage capacitor are composed of parallel-board capacitors; and high-voltage capacitor and the low-voltage capacitor are filled with air, thereby forming a gas capacitor. The high-voltage capacitor is composed of three gas capacitors with polar distances of 1.5m. The low-voltage capacitor is composed of one gas capacitor with polar distance of 0.04m. The high-voltage capacitor and the low-voltage capacitor realize voltage shunting through serial connection. The acquisition transmission unit is arranged below the low-voltage capacitor. Furthermore the acquisition transmission unit is connected with the low-voltage capacitor through an optical fiber. The acquisition transmission unit is obtained through successively connecting a signal processing module, an A/D conversion module and an FPGA. A signal which is output from the acquisition transmission unit is transmitted to a subsequent processing terminal through the optical fiber. The voltage sensor has advantages of realizing live verification to an electronic voltage transformer, shortening verification period, simplifying operation step, preventing loss caused by power failure, and improving accuracy and reliability in online verification of the electronic voltage transformer.

The invention belongs to a transmission calibration method, and provides an automatic transmission calibration method in order to solve the technical problems that current automatic transmission calibration is long in period and high in cost, and the batch production efficiency of commercial vehicle automatic transmissions is seriously affected. A driver only needs to drive a vehicle, the pressure of a corresponding pressure point or the oil filling time is calibrated according to the appearing state and the inherent parameter point diagram of the automatic transmission in each stage of the gear shifting process, gear shifting is repeated, calibration optimization is continuously conducted till any segment does not have the related state any more in the gear shifting process, and the gear shifting process is completed. And calibration of the automatic transmission is completed. Through a self-learning calibration mode, the calibration of all gears can be quickly and automatically completed without depending on the experience of a calibration engineer, manual intervention is not needed, and the calibration efficiency is greatly improved while the calibration accuracy is improved.