155results about How to "The parameters are accurate" patented technology

The invention discloses a sparse L-shaped array and a two-dimensional DOA estimation method thereof and belongs to the technical field of wireless mobile communication. The sparse L-shaped array comprises a first subarray formed by a sparse uniform linear array, the array element space of which is equal to the wavelength, and an auxiliary array element, and a second subarray formed by an arbitrary sparse linear array, the minimum array element space of which is smaller than or equal to a half wavelength. The shared array element of the two linear arrays is a reference array element, and the distance between the auxiliary array element and the reference array element is the half wavelength. The two-dimensional DOA estimation method is characterized by, to begin with, calculating an autocorrelation matrix according to received data of the second subarray, carrying out characteristic decomposition on the autocorrelation matrix and then, estimating a corresponding second angle, and carrying out calculation to obtain an information source autocorrelation matrix based on the second angle; and obtaining an array manifold matrix of the first subarray according to a cross-correlation matrix of the received data of the two subarrays and the information source autocorrelation matrix, thereby finishing estimation of a first angle corresponding to the first subarray, and obtaining the two-dimensional DOA. Complexity is low, and DOA estimation precision is high.

The invention provides a grounding detection device for a power distribution system and a fault detection method thereof, and aims to solve the problem that the detection operation is not easy and convenient, and the problem that the conventional detection device is not suitable to be used for various power systems existing in the conventional detection device. The device consists of a signal acquisition treatment display device used for acquiring and treating zero sequence current of a feeder line to be detected and a power circuit, wherein the signal acquisition treatment display device comprises n groups of acquisition treatment display devices with the same structure for detecting the signals of the detected zero sequence current in n different measuring ranges respectively; and the power circuit may adopt a mains supply or a battery supply. The method comprises the following steps of: estimating the zero sequence current of the system; measuring the zero sequence current of the feeder line by using the grounding detection device for the power distribution system; and determining and troubleshooting the fault line. By using the device, an operator can quickly, safely and accurately detect the feeder line having the grounding fault in a short time, and the device is suitable to be used for various power systems.

The invention discloses a medical big data processing method based on a body area network and cloud computing. The method comprises the steps that a physiological sensor senses user physiological data, generates a symmetric key for encryption of data through utilization of an APTEEN protocol and a Diffie-Hellman key exchange protocol, signs the data through utilization of a Merkle tree and transmits the processed data to a mobile device; the mobile device decrypts the data uploaded by the physiological sensor, verifies a user identity and completeness of the transmission data and sends verified user data to a cloud server for data storage and data analysis; and the cloud server stores a data analysis result and sends the data analysis result to the mobile device. According to the method, the medical data is stored and protected through adoption of a transmission encryption technology, so the problem that the privacy of a patient is leaked is effectively solved; and the data is transmitted to the cloud server in real time through a wireless network, redundancy eliminated storage and real-time decision analysis problems for the real-time transmission data are solved through utilization of a big data technology, and the security protection and real-time analysis of the medical big data are realized.

The embodiment of the invention relates to the technical field of dam surface detection, and provides a dam surface defect classification model training method and device, and the method comprises thesteps: obtaining a dam surface image, carrying out the augmentation of the dam surface image, and obtaining a plurality of augmented images containing all contents of the dam surface image; performing image enhancement on each augmented image to obtain a plurality of enhanced images containing edge feature information; obtaining a defect classification label of each enhanced image; and training apre-established dam surface defect classification model by using the plurality of enhanced images and the defect classification label corresponding to each enhanced image to obtain a trained dam surface defect classification model. Compared with the prior art, the dam surface defect classification model training method and device provided by the embodiment of the invention can improve the identification precision of the dam surface defect classification model, thereby improving the accuracy of dam surface defect classification.

The invention discloses a PP wave and PS wave joint AVO inversion method using an average angle of incidence gather. The method comprises the steps of calculating a compression coefficient of compressing a PS wave into a PP wave time domain; applying the compression coefficient to a PS wave AVA gather to obtain a PS wave AVA gather of the PP wave time domain; sorting the PP wave AVA gather and the compressed PS wave AVA gather into AVA gathers in first and second angle of incidence ranges; performing weighted stack for the PP wave and PS wave AVA gathers in the first and second angle of incidence ranges, forming an average angle of incidence gather, and extracting seismic wavelets of the PP and PS waves respectively in the same time window; and extrapolating the P wave speed, S wave speed and density which are obtained by well logging into an initial model so as to calculate reflection coefficients of the PP and PS waves, and combining the seismic wavelets into an average angle of incidence gather. The invention can be used for solving the problem of there being large errors in an inversion method in the prior art.

The invention discloses an aerospace plane inertial navigation embedded software online updating method which comprises the following steps: extracting an effective source program code by utilizing atarget file generated by engineering compiling; Compiling a monitoring program, and switching a software state to a data programming state after receiving a program updating instruction; Upper computer software is compiled, the source program code file is subjected to data processing, and a data packet is sent to an inertial navigation system through a serial interface; Writing the compiled monitoring code into an external FLASH space in advance by using an emulator; In the running process of the monitoring software, analyzing the data packet, writing the obtained code data of the applicationsource program into a specific address of FLASH, and checking the written data at the same time; and when the FLASH is restarted after being powered on next time, skipping to execute the application program solidified in the FLASH. According to the invention, the accuracy of data transmission can be ensured, the inertial navigation performs multiple verifications on the received data frame according to the instruction frame format, the accuracy of data receiving is greatly improved, and the reliability of the system is ensured.

The invention discloses an intelligent construction safety power consumption system and method. The intelligent construction safety power consumption system comprises a primary power distribution box and a secondary power distribution box subordinate to the primary power distribution box. The secondary power distribution box is electrically connected with various kinds of electric equipment. A tail-end circuit of the primary power distribution box, a tail-end circuit of the secondary power distribution box and tail-end circuits of the electric equipment are each provided with a power consumption information collection circuit. When an intelligent control terminal transmits power consumption information, information of the corresponding equipment is sent synchronously; due to the fact that an access control system, a power consumption protection device and an illumination circuit voltage monitoring device are arranged, construction power consumption safety is ensured. According to the intelligent construction safety power consumption system and method, the intelligent power consumption management is comprehensively achieved, active management is carried out, the monitoring loophole caused by manual passive management is overcome, and the accident rate is decreased.

The invention discloses a method and device for performing a water pumping test on multiple water-containing layers in a single deep drill hole, and belongs to the technical field of drilling. The method for performing the water pumping test on the multiple water-containing layers in the single deep drill hole comprises the following steps: S1, packing a target water-containing layer vertically; S2, reducing lifting and drilling hole diameter variable quantity of a submersible pump; S3, observing water level; and S4, retracting a packer. The device for performing the water pumping test on the multiple water-containing layers in the single deep drill hole comprises a drilling packer, a water pressure sensor, a secondary instrument, a data processor, a pressure pump or a steel cylinder, a tension valve for retracting the packer, an submersible electric pump and a floral tube drill stem. The method disclosed by the invention is more scientific and reasonable. The invention provides a low-cost technology and equipment capable of performing the water pumping test on the multiple water-containing layers in case of enabling drilling to not reduce or enabling drilling to slightly reduce. A drilling process is simplified, and the purposes of shortening a construction period and reducing cost are realized.

The invention belongs to the field of detection of traffic information, particularly relates to a piezoelectric magnetic-sensing traffic information comprehensive monitoring device and aims to provide a device with low cost and more complete functions. The comprehensive monitoring device is characterized by comprising a sensor group, a signal conditioning device, a data acquisition system and a data processing system, wherein the sensor group is connected with the signal conditioning device; the signal conditioning device is also connected with the data acquisition system; the data acquisition system is connected with the data processing system; and the data processing system is connected with a data center. By adopting the sensor group consisting of a geomagnetic image sensor, a piezoelectric sensor and a foundation temperature sensor, acquired parameters are comprehensive and precise and can meet requirements of traffic regulation and control. By adopting the signal conditioning device consisting of a first-level amplifying circuit, a second-level amplifying circuit and a high-pass filter, the measurement precision is improved. By adopting a data filter processing technology and a dynamic sampling storage speed technology based on a real-time vehicle speed, the data calculation precision can be improved effectively.

The invention relates to an ion beam polishing process parameter determination method for a six-axis motion polishing system. The ion beam polishing process parameter determination method for the six-axis motion polishing system is based on an Sigmund sputtering theory, faraday scanning experiments with a limited number of times are used to determine the valves of a scaling factor and a constant C, so that an expression, of relative parameters, relative to a faraday scanning current density distribution curve, of the peak removal rate R<max>of a removal function and the full width at half maximum HR of the removal function is obtained, thus process parameters are adjusted, the faraday scanning current density distribution curve is obtained through the faraday scanning experiments, the parameters of the curve are used, thus the removal function can be obtained by calculating, and time of removal function determination is greatly shortened from two hours to five minutes. Therefore, the efficiency of simulated machining tests aiming at the different process parameters is improved, thus the optimum process parameter can be quickly determined. Furthermore, when the method is used for determining the removal function, etching experiments are not needed to conduct on all process parameters, so that waste of sample pieces is avoided, and the cost is saved.

The invention relates to a human body key point extraction method and a device, a readable storage medium and equipment. The method comprises the steps of receiving a target image containing a human body image part; extracting a target human body feature map in the target image; inputting the target human body feature map into a key point extraction model to obtain a human body key point heat map;wherein the key point extraction model comprises a first sub-model and a second sub-model, the first sub-model is used for obtaining a human body key point heat map according to the target human bodyfeature map, and the second sub-model is used for obtaining key point regression coordinate information according to the target human body feature map; wherein the loss value of the key point extraction model is determined according to the loss value of the first sub-model and the loss value of the second sub-model. Through the method, the accuracy of the extracted human body key points can be effectively improved, and the user experience is improved.

The invention relates to a pile soil interaction mechanism testing device for a riser, which comprises a sealed cylinder, a sealed cover, an electric piston hoisting machine force transducer, a testing conduit, a plurality of strain force transducers, a liquid pressure gauge, a hydraulic pump and a control device, wherein the electric piston hoisting machine force transducer is connected with the testing conduit through a transverse lever and transmits the measured data to the control device; the strain force transducers are arranged at different heights at intervals on the outer wall of the testing guiding pipe which is covered by seafloor soil so as to detect the stresses on the testing conduit at different seawater depths and transmit the stresses to the control device in real time; the liquid pressure gauge is used for transmitting the acquired pressure information on the upper part of liquid to the control device in real time; the output end of the hydraulic pump is connected with a water inlet on the sealed cover through a hydraulic transmission pipe; the control device is electrically connected with the control end of the hydraulic pump; and a liquid pressure threshold computing module and a friction factor computing module for the control device to control the water depth in the sealed cylinder are pre-arranged in the control device. The testing device can measure the action mechanism between the riser and the seafloor soil conveniently, quickly and accurately, and the reliability of the result is high.

A complex harmonic detection and analysis method of four-spectral-line interpolation FFT based on a five-item Rife-Vincent(I) window is disclosed. The method comprises the following steps of carryingout discrete sampling on a signal containing multiple complex harmonics to obtain a discrete sequence signal; adding the five-item Rife-Vincent(I) window to the sampled discrete sequence signal to obtain the discrete sequence signal with the window; carrying out a discrete Fourier transform on the obtained discrete sequence signal with the window to obtain a discrete harmonic signal spectrum value; according to the obtained harmonic signal spectrum value, finding four spectral lines near each harmonic frequency point; and according to the four spectral lines near the harmonic frequency point,establishing a spectrum relation of the four spectral lines, acquiring an offset between an actual spectral line value and a theoretical spectral line value, deriving a correction formula of a harmonic parameter, and then calculating the harmonic parameter after four-spectral-line interpolation correction. Compared with an existing power grid harmonic detection method, the method of the inventionhas better performance, and harmonic precision in the method of the invention is greatly increased.

The invention discloses a direct current side circuit of an IGCT (integrated gate commutated thyristor) converter/test circuit and a method for designing parameters of a clamp capacitor and a clamp resistor of the direct current side circuit. The direct current side circuit comprises a DC capacitor, a buffer inductor, a clamp diode, the clamp capacitor and the clamp resistor, wherein a positive electrode of the DC capacitor is connected with one end of the buffer inductor and one end of the clamp resistor, the other end of the buffer inductor is connected with a positive electrode of the clamp diode, the other end of the clamp resistor is connected with a negative electrode of the clamp diode, the negative electrode of the clamp diode is connected with one end of the clamp capacitor, and the other end of the clamp capacitor is connected with a negative electrode of the DC capacitor. The direct current side circuit disclosed by the invention is based on circuit principles, analyzes various states in the overall buffering and the working process of a clamp circuit in detail, derives the method for designing the parameters of the clamp capacitor and the clamp resistor according to differential expressions of various working states, thereby being more complete in theory, wider in application range and more accurate in parameter.

The embodiments of the invention provide a frame loss compensation processing method and a device. The method includes the following steps: determining whether an ith frame is a lost frame through a lost frame marker bit; and if the ith frame is a lost frame, estimating the spectrum frequency parameter, the pitch period and the gain of the ith frame according to at least one of the inter-frame relationship and the intra-frame relationship of N frames before the ith frame, wherein the inter-frame relationship of the N frames includes at least one of the correlation and the energy stability of the N frames, and the intra-frame relationship of the N frames includes at least one of the correlation and the energy stability of the N frames. The parameters of the ith frame are determined according to the signal correlation and the energy stability of the N frames and the correlation and the energy stability of signals in each frame. As the relationship between signals is considered, the estimated parameters of the ith frame are more accurate. Therefore, the quality of decoded speech signals is enhanced.

The invention provides a method for designing virtual resistance parameters of a parallel impedance adapter. According to the method, a power grid impedance and new energy power generation system impedance model is obtained; after RLC circuit parameters of the impedance model are extracted at the resonant frequency, the damping ratio of the new energy power generation system before and after beingconnected with the power grid impedance is calculated, the damping ratio of the new energy power generation system after being connected with the power grid impedance is adjusted by designing virtualresistance parameters, and design of the virtual resistance parameters of the parallel impedance adapter is achieved. The design method is simple to implement, and the design of the virtual resistance parameters of the parallel impedance adapter can be realized according to the corresponding impedance characteristics only by obtaining the impedance model of the power grid impedance and the impedance model of the new energy power generation system, so that the method has obvious superiority.

The embodiment of the invention provides an air quality prediction method and device based on transfer learning, and the method comprises the steps: obtaining the impact data of a first region in historical time for a plurality of first regions obtained through the division of a target city; for each first region, based on the influence data of the first region and a prediction model correspondingto the first region in a plurality of prediction models obtained by pre-training, obtaining air quality data of the first region at a target time, and taking the obtained air quality data as air quality data of a target city at the target time, wherein the prediction model corresponding to any first region is obtained by training an initial model corresponding to the first region in a plurality of initial models obtained based on transfer learning by using historical air quality data of the first region and historical influence data corresponding to the historical air quality data of the first region. The prediction accuracy of the air quality can be improved.

The invention discloses a variable frequency and high speed sampling handheld photovoltaic cell tester and a method for achieving the same. The tester is designed by using a field programmable gate array (FPGA) chip EP2C8T144C6 combined with an analog-to-digital converter (ADC) chip AD9245-40, current voltage sampling points (P1 and P2) access to an input end of a cascade circuit to a programmable amplifier chip, an output end of the cascade circuit is accessed to an analog input port of the AD9245-40, and a 14-bit output of the AD9245-40 is accessed to an input/output (I/O) input port of the EP2C8T144C6. According to the variable frequency and high speed sampling handheld photovoltaic cell tester and the method for achieving the same, the highest sampling rate can achieve 32 MHz, a variable frequency sampling method is used, the problem of unreasonable data distribution is solved, the data redundancy is reduced, an obtained a voltage-current (I-V) curve is smooth, and relevant parameters are accurate and stable.

The invention relates to an automatic generation method of printed circuit board thermal simulation metal path line area ratio. The method comprises leading-in light painting files, setting layer types, measuring areas and the like. Users only need to manually and correctly lead in light painting files of a printed circuit board signal layer and an electric layer and set types of each layer, then follow-up steps are executed though programs, manual operation is not required, and more accurate parameters are provided for thermal simulation, efficiency and accuracy of thermal simulation are improved, and simulation operators can obtain real cooling information of the printed circuit board.

A finger friction test device is mainly structured as follows: a servo motor on a rectangular pedestal drives a sliding table through a leading screw and nut mechanism to slide side to side; the upper surface of the sliding table is connected with a sample stage through a strain-type two-direction force sensor; a three-dimensional acceleration sensor is installed on the sample stage; a sound sensor is arranged; a left connecting rod and a right connecting rod which can rotate and can be fastened are mounted on the pedestal; a finger support block is fixed on the right connecting rod, and the left connecting rod is connected with a finger press block, which can move up and down and can be fastened, through an installation block and a loading plate; and the servo motor, the strain-type two-direction force sensor, the three-dimensional acceleration sensor and the sound sensor are all electrically connected to a control and signal acquisition and processing system. The device of the invention can reliably and accurately analyze and study the relations of test parameters and friction coefficients including friction angle, friction normal force, relative sliding speed, etc., vibration acceleration and acoustical signals when the finger is in contact friction with a substance, thus providing the basis for surface design of relevant products and touch simulation design of an intelligent robot.