43results about How to "Reduce the number of calibrations" patented technology

The invention belongs to the technical field of non-invasive blood pressure detection and particularly relates to a non-invasive blood pressure continuous detection device and a non-invasive blood pressure continuous detection method. The non-invasive blood pressure continuous detection device comprises a volume pulse wave image detection module, an electrocardiogram detection module and a signal analysis processing module; the volume pulse wave image detection module is used for acquiring a direct current component and an alternate current component in a blood volume pulse wave; the electrocardiogram detection module is used for acquiring an electrocardiosignal of a human body; and the signal analysis processing module is used for acquiring PWV (Pulse Wave Velocity) information according to the electrocardiosignal acquired by the electrocardiogram detection module and the alternate current component detected by the volume pulse wave image detection module, acquiring blood vessel radius information according to the alternate current component and the direct current component and acquiring continuous blood pressure information according to the PWV information and the blood vessel radius information. Due to implementation of the non-invasive blood pressure continuous detection device and the non-invasive blood pressure continuous detection method which are disclosed by the invention, influence of variation of the blood vessel radius on the blood pressure in the long-term non-invasive blood pressure measurement process is removed, accuracy of long-term detection is improved, and times of continuously calibrating the blood pressure are reduced.

The invention discloses a method for detecting the position of a throttle of a diesel engine. Current pulling force of a steel wire rope is obtained; the data of an opening degree of the throttle corresponding to the current throttle of the steel wire rope is obtained from a pre-stored data list; and the data list has corresponding data between the pulling force born by the steel wire rope after being calibrated and the opening degree of the throttle. The pulling force born by the steel wire rope is easy to measure and is less influenced by the factors of the abrasion and the environment of a measuring device so that the pulling force born by the steel wire rope and the opening degree of the throttle keep a strict corresponding relation, which is favorable for improving the detection precision of the opening degree of the throttle and reduces the calibrating times. On the basis, the invention also discloses a device for detecting the position of the throttle of the diesel engine.

The invention discloses a linear calibration system based on a camera coordinate system and a method thereof. The system comprises a coordinate system construction module, an image point position offset estimation module, a focal length calculation module, a camera parameter calculation module and a target point position calculation module. And the coordinate system construction module and the image point position offset estimation module are used for obtaining a theoretical estimation of an imaging point position offset volume. An objective function is established based on an coordinate errorbetween imaging point actual coordinates and imaging point theoretical estimation coordinates. Partial derivatives of the objective function are solved about intrinsic parameters of the camera, and acamera intrinsic parameter linear algorithm is given out. According to the method, the problem of coupling between camera intrinsic parameter and external parameter calculation is solved, a camera calibration parameter calculation model is simplified, and the precision of a camera calibration result is improved.

The present invention discloses a fractional order KiBaM model parameter identification method and system of a power battery, wherein the identification method comprises the steps of 1 initializing a linear parameter vector, utilizing an iterative learning identification method to identify the fractional order of a fractional order KiBaM model, and obtaining a fractional order initial value to thereby identify a non-linear parameter vector; 2 utilizing the identified non-linear parameter vector and combining the fractional order to identity the linear parameter vector and further determine the fractional order KiBaM model of the power battery; 3 acquiring the actual output of the power battery, calculating and determining whether the norm of the deviation of the output of the determined fractional order KiBaM model of the power battery and the acquired actual output of the power battery reaches a minimum value, if yes, ending to identify, and obtaining an optimal parameter of the fractional order KiBaM model of the power battery; otherwise returning to the step 1.

The invention discloses an LPWAN synchronous awakening mechanism based on LoRa. The LPWAN synchronous awakening mechanism comprises the steps that S1, a beacon frame is sent; S2, clock synchronizationis carried out; S3, a service equal-length time slot Tw is divided on the basis of a beacon frame sending interval; S4, service time slot synchronization is carried out, and awakening is performed atfixed time Tw to receive an awakening frame at the arrival of the delay time; S5, a sensing node is awakened at regular time to receive downlink data according to the beacon frame sending starting time and the service period interval; S6, the sensing node changes the synchronous time calibration period according to the RTC error calibration condition; and S7, the sensing node increases the Tg time in order to solve the sending conflict between the beacon frame and a downlink frame of the server. According to the invention, the clock tick of a gateway in the network is ensured to be consistentwith that of the sensing node, so that the gateway can predict the timing awakening windowing receiving moments of all sensing nodes; and on the premise of meeting the low-power-consumption design requirement, the clock tick can be divided and dynamically adjusted in order not to influence downlink transmission delay.

The invention provides a head-mounted device of an eyeball tracking device having multi-layer free-form optical waveguide. The head-mounted display device comprises a main body casing, an eyeball tracking device having a multi-layer free-form optical waveguide, a main board and a power source. The eyeball tracking device having the multi-layer free-form optical waveguide includes a lens, an infrared light source and an eyeball imaging sensor. The main board includes an eyeball tracking calculation module and a device control module. Through the technical solution of the invention, the problemof low integration of the device with the eyeball tracking device is solved, a new scheme is provided for the simplified design and the appearance expansion, the eyeball tracking and positioning speedof the device is fast, and the tracking effect is good.

The invention discloses a calibration method of a cross-shaped hot-wire anemometer. The calibration method comprises the steps that an included angle theta between a cross-shaped hot-wire probe and anairflow direction is determined; data collection is started; surface fitting is performed, and a cooling constant k and calibration constants A, B and n of the cross-shaped hot-wire probe are obtained through calculation; and the effective cooling velocity U<e> of the cross-shaped hot-wire probe is calculated. The calibration method has the advantages of greatly improving the quality of test dataand saving test time.

The invention provides a bandwidth characteristic curve fitting system, method and device, and belongs to the technical field of bandwidth data, and the method comprises the steps: generating a digital quantity sequence according to initial reference point information, wherein the reference point information comprises a frequency and an amplitude corresponding to the frequency; controlling broadband signal generation equipment to convert the digital quantity sequence into a digital calibration signal, and converting the digital calibration signal into an initial waveform; controlling a spectrum analyzer to perform fast Fourier transform on the initial waveform to obtain a target amplitude-frequency response curve; acquiring a target reference point amplitude in the amplitude-frequency response curve, and fitting a bandwidth characteristic curve according to the amplitude of the initial reference point in the digital calibration signal and the target reference point amplitude, wherein the target reference point amplitude and the amplitude of the initial reference point correspond to reference points with the same frequency. According to the invention, the calibration frequency is reduced, and the fitting efficiency is improved.

The invention especially relates to a WIFI product calibration test system and method based on a wireless network mode. The system includes a main control PC and a server. The main control PC is used for writing a calibration value of a to-be-calibrated network mode of a 11b mode of a to-be-tested product, a calibration value of a to-be-calibrated network mode of a 11n40 mode of the to-be-tested product, the mode difference between a 11g mode and the 11n40 mode, and the mode difference between a 11n20 mode and the 11n40 mode; the server is used for recording a model machine value of the to-be-tested wireless product and upgrading the average difference between the 11g mode and the 11n40 mode and the average difference between the 11n20 mode and the 11n40 mode. According to the system and the method, the calibration frequency can be reduced, the calibration time is reduced, the production efficiency is improved, the use efficiency of a production testing instrument in unit time and labor productivity in unit time are improved, and the unit net profit is improved.

The invention provides a PWTT-based dynamic continuous blood pressure measurement method, and belongs to the technical field of non-invasive continuous blood pressure measurement. The PWTT data are flexibly screened, the PWV is obtained through the PWTT, the arm length and the average distance from the shoulder to the heart of the normal person, the precision of the finally calculated PWV is higher, meanwhile, when the blood pressure is calculated based on the PWTT, the direct correlation of the two is considered, the relation between high pressure, pulse pressure, the heart rate and the blood pressure is also considered, By calculating the autocorrelation coefficient, the regression coefficient and the regression constant among each group of data and finally calculating the blood pressure value according to the calculated parameter regression equation, the result is more accurate, in addition, in the process, data collected in real time and calibration data participate in data screening and subsequent calculation of the regression coefficient and the like together, and the real-time acquired data is added into a calibration area for new measurement, and the calibration area is continuously optimized, so that the blood pressure measurement result is more accurate.

The embodiment of the invention discloses a calibration method and device for a DCOC. The method can comprise the following steps: corresponding to the radio frequency receiver in a calibration state,detecting the direct current offset of the radio frequency receiver at each gain level at the digital output end of the radio frequency receiver; Determining calibration data of the radio frequency receiver at each gain level according to the direct current offset of the radio frequency receiver at each gain level; Determining a target gain level of a current gain value corresponding to the working state of the radio frequency receiver; Determining calibration data corresponding to the target gain value in the calibration data of the radio frequency receiver under each gain level; And generating a corresponding direct current compensation value from the calibration data corresponding to the target gain value, and compensating through an ADC input end of the radio frequency receiver according to the direct current compensation value.

The present invention discloses a wagon balance weighing support device and an installation method thereof. The wagon balance weighing support device comprises a base and a weighing platform, the top of the base is provided with an embedded part, the embedded part is connected with a buffer block in a sliding and sleeving mode, the top of the buffer block is fixedly connected with a support, the top of the support is provided with an assembling plate, and the assembling plate is provided with a weighing sensor; the weighing platform is arranged above the weighing sensor, a first buffer spring and a second buffer spring are installed in the embedded part, a net plate is arranged at the bottom of the weighing platform, and a cooling fan is installed on the assembling plate. The base is simple in form, reasonable in structural design and convenient and rapid to install, and the hydrophobic layer and the rigid waterproof layer enable the use environment of the base to be better; and the support is in a quadrangular frustum pyramid shape and is assembled by combining bolt connection and welding, so that the support is better in stability, more durable and higher in pressure resistance, the screen plate and the silica gel particles filled in the screen plate can effectively adsorb moisture, dust prevention is performed, and the heat dissipation fan accelerates heat dissipation of the weighing sensor.

The invention provides a dynamic continuous blood pressure measurement method based on a blood pressure virtual calibration value, and belongs to the technical field of non-invasive continuous blood pressure measurement. According to the method, the PWTT data are flexibly screened, the PWV is obtained through the PWTT, the arm length and the average distance from the shoulder to the heart of the normal person, meanwhile, the virtual calibration data are constructed to serve as the calibration data on the basis of the calibration data and the real-time collection data, and the calibration frequency is reduced. When the blood pressure is calculated based on PWTT, the relation between SBP, PP, heart rate and blood pressure is considered, the blood pressure value is calculated according to a parameter regression equation obtained through calculation by calculating the autocorrelation coefficient, the regression coefficient and the regression constant of each group of data, and the result is more accurate; in the process, data collected in real time and calibration data participate in data screening and subsequent calculation of regression coefficients and the like together, and the data collected in real time are added into a calibration area and used for new measurement, so that the blood pressure measurement result is more accurate.

The invention relates to an engine spray simulation calibration method and system. The engine spray simulation calibration method comprises the following steps that a current oil beam actual drop point coordinate is obtained according to spray oil beam simulation model and a relevant parameter of a preset injector; the relevant parameter of the preset injector comprises a current input oil beam drop point coordinate; a drop point error of this round is obtained according to a target oil beam design drop point coordinate and the current oil beam actual drop point coordinate; when the drop pointerror of this round is not in a preset error range, the sum of drop point errors of all previous rounds, the drop point error of this round and the target oil beam design drop point coordinate is obtained, and the input oil beam drop point coordinate used for calibrating the next round is obtained; and when the drop point error is not in the preset error range, the oil beam actual drop point coordinate corresponding to the drop point error in the preset error range is obtained, and completion of engine spray simulation calibration is conformed.