38results about How to "Solve the problem of inaccurate estimates" patented technology

The invention discloses a multi-starting-point incremental three-dimensional reconstruction method based on large-scale disordered images. The method comprises the steps of performing image matching, constructing a matching relationship chart, selecting a reconstruction starting point, detecting an edge, performing multi-starting-point three-dimensional reconstruction and splicing a submodel. By means of a clustering strategy and an iteration drift strategy, an image pair which is suitable as starting points is adaptively selected from a disordered image set and reconstruction is performed simultaneously; before reconstruction, determining an optimal reconstruction sub-process of each image according to a layered shortest path first algorithm, and determining a reconstruction boundary; and obtaining a whole three-dimensional reconstruction model according to sub-models obtained in different sub-processes and splicing the common parts contained in the sub-models. The three-dimensional reconstruction method according to the invention has advantages of settling a problem of suspension in reconstruction process when a current scene comprises a plurality of non-overlapped parts, obtaining a whole three-dimensional model which is covered by the image set, preventing three-dimensional structure error caused by matching and transmission of error images, realizing parallel processing in reconstruction sub-process, and improving image reconstruction efficiency.

The invention discloses a method and a device for analyzing an internal state of a lithium battery based on an ultrasonic frequency spectrum. The method comprises the steps of enabling an ultrasonic signal with a set frequency to penetrate through the lithium battery, and calculating a charge state of the lithium battery by use of a linear relation between a main lobe power and a charge state of the ultrasonic signal; and judging the health of the lithium battery by use of the ratio of the power of the higher harmonics to the main lobe. Another method comprises the steps of driving an ultrasonic transducer by use of a swept-frequency signal to generate ultrasonic signals of different frequencies to penetrate through the lithium battery to obtain the frequency response function of the lithium battery; and judging the aging degree of the lithium battery by use of the frequency response function. The invention provides the device for analyzing the internal state of the lithium battery based on the ultrasonic frequency spectrum. According to the method and the device for analyzing the internal state of the lithium battery based on the ultrasonic frequency spectrum disclosed by the invention, the frequency spectrum of the ultrasonic signal is deeply analyzed, the problem that the SOC (State Of Charge) and SOH (State of Health) estimation of the lithium battery is not accurate is effectively solved, and the device can be integrated into a battery management system to realize the real-time measurement of the internal state of the battery, and timely make early warning for the possible failure of the battery.

The present invention provides an automobile battery state of charge correction method and device. The method comprises the steps of real-timely calculating the to-be-corrected state of charge values, the temperatures and the open-circuit voltage values of a battery pack during the operation process of an automobile; testing to obtain an open-circuit voltage-state of charge curve of the battery pack under different temperatures, and obtaining the areas satisfying the preset conditions in the open-circuit voltage-state of charge curve as the effective correction voltage areas; selecting the effect correction voltage area under the corresponding temperature according to the temperature of the battery pack during the operation process of the automobile, and obtaining the corresponding state of charge value in the selected effective correction voltage area according to the open-circuit voltage value of the battery pack during the operation process of the automobile. According to the automobile battery state of charge correction method and device provided by the present invention, the problem that the automobile battery state of charge estimation is not accurate enough, is solved.

The invention provides a method, device and system for high-speed mobile communication, wherein the method comprises the steps of: normally transmitting uplink data PUSCH/PUCCH/SRS on UE, and recording the current time T0, wherein the PUSCH represents an uplink control channel; the PUCCH represents an uplink shared channel; and the SRS represents a sounding reference signal; according to the uplink data, obtaining TA0 by calculation by a base station, and notifying the UE; obtaining the final TA value TA2 by calculation; and, obtaining the final time synchronization adjustment amount at the T2time according to the TA2, and, on this basis, transmitting the uplink data. According to the method, device and system for high-speed mobile communication provided by the invention, on the basis ofan airborne terminal, calculation is carried out corresponding to the movement distance of the base station; inaccurate TA sent by the base station is corrected; therefore, the problem that TA estimation is inaccurate due to high-speed movement of an LTE system in an ATG network can be solved; and thus, the performance of an LTE ATG system is improved.

The invention discloses an estimation method for mobile points of a software reliability growth model. The estimation method comprises the first step of drawing a quality control chart according to software system actual failure data, the second step of obtaining initial mobile points according to the quality control chart and a mobile point judging criterion, and the third step of obtaining the accurate positions of the mobile points by using a gradual adjustment method. According to the estimation method for the mobile points of the software reliability growth model, the mobile point judging criterion is provided, the preliminary judgment of the mobile points are more accurate, the number, obtained in an estimated mode, of the mobile points is accurate, and positional deviation is small. The estimation method for the mobile points of the software reliability growth model is a new mobile point estimation method, and the problem that the position estimation of the mobile points is not accurate is solved by using the gradual adjustment method on the basis that the number and the positions of the initial mobile points are obtained by using the quality control chart.

The invention relates to method for estimating the parameters of ZnO-varistor-equivalent circuit model based on FDS, belonging to the technical field of lightning arrester model. The method comprisesthe following steps. S1: The measuring instrument of frequency domain dielectric spectroscopy (FDS) and the ZnO varistors are prepared as a part of the experiment platform. S2: The parameters are properly set on the measuring instrument of frequency domain dielectric spectrum. S3: The FDS of the ZnO varistors are measured multiple times until the final results are obtained. S4: The complex impedance of the equivalent model is calculated using ZnO-varistor-equivalent polarized circuit model. S5: The parameter function of the equivalent model is optimized based on the measured FDS data of ZnO varistors and the results calculated by the model. S6: The iterative calculation on the optimized parameter function is performed using genetic algorithm to finalize the parameter estimation for the equivalent model. The method of the invention satisfactorily describes the dielectric response of ZnO varistors, and remediates the insufficient explanations by R C parallel model and the IEEE model on the microscopic behavior of ZnO varistors in terms of polarization and electric conductance among others.

The invention relates to a bus arrival time estimation method and device, and belongs to the technical field of intelligent traffic. The method comprises the following steps of segmenting a bus running line, determining the running speed of each section of line according to each section of factor data influencing the bus running speed by using a vehicle running speed model, dividing the running speed of the corresponding section by a segmentation distance to obtain the running time of each section, accumulating to obtain the inter-station running time, and determining the estimated arrival time of each station. Therefore, the arrival time of the bus can be estimated. According to the invention, the condition that the road conditions on each section of the line are different and the types of factors influencing the running speed of the vehicle are changed is considered, the arrival time is estimated by calculating the running time of each section, the prediction process accords with with the actual road conditions, and the obtained estimated time is more accurate.