88results about How to "Eliminate calculation errors" patented technology

The invention relates to a method for evaluating the organic carbon content of shale. The method comprises the steps that logging information is obtained and layer sections of the shale are obtained through division; lithology correction coefficients and radioactivity correction coefficients are obtained and corrected log response characteristic values are obtained; organic carbon content calculation functions of shale unit layer sections are established and the calculation function of the organic carbon content of each shale unit layer section is obtained; according to the determined organic carbon content calculation function, the organic carbon content of each shale unit layer section is calculated. According to the method for evaluating the organic carbon content of the shale, the defect that an organic carbon content result in the prior art is large in error is overcome, the organic carbon content in a stratum can be accurately and reliably evaluated, and therefore effective technical supports are provided for exploration and development of shale oil gas.

The invention discloses a five-phase permanent magnet fault-tolerant motor direct torque control method based on novel pulse width modulation. The method comprises the following main steps: current and voltage components in a two-phase stationary coordinate system are obtained through coordinate transformation; through a PI regulator, given torque is obtained or the torque is directly given through an initial positioning method brought forward by the invention; an improved voltage method is used for estimating flux linkage, a voltage modulation ratio is obtained through a zero-sequence voltage harmonic injection-type pulse width modulation module, five-phase PWM waves are sent, and more accurate and smoother control is realized on the motor torque and the flux linkage. Compared with the traditional DTC, in the condition of keeping the dynamic response performance unchanged, the motor torque and the flux linkage pulsation can be effectively reduced, and the third harmonic content of phase current can be greatly reduced; and compared with SVM-DTC by adopting the SVPWM technology, sector judgment and voltage vector angle trigonometric function operation are not needed, the operation process is simplified greatly, and operation errors caused by trigonometric function operation are eliminated.

The invention provides a star sensor autonomous navigation method based on satellite identification, and belongs to the technical field of star sensor autonomous navigation methods. The method achieves star-sensor-based fully-autonomous navigation, and provides a carrier with attitude and position information that is high in precision and not emanative along with time. The method includes creating a satellite star map and an integrated star map, and acquires all information and attitude information of fixed stars and satellites according to match of all heavenly bodies with the star maps. According to the acquired fixed star and planet information, high-precision positioning is performed by an improved starlight angular distance process, thus completing transformation into carrier attitude information, and achieving the star-sensor-based fully-autonomous navigation method base in its true sense. The method is advantageous in that 1) the satellite information is adopted in the method so that adaptability and flexibility are good, 2) satellite positioning is adopted in the method so that stability and precision are good, 3) redundancy multi-star resolving is adopted in the method and is anti-interference, and 4) integrated star map matching is adopted in the method, thus increasing information reliability.

The invention provides a ship water gauge image automatic number reading method based on a deep learning algorithm. According to the method, the deep learning algorithm is used for performing identification positioning on the number in a ship water gauge image, thereby obtaining a digital number and a frame coordinate in the image, and a digital frame coordinate is corrected. By means of a numberarrangement rule and a human eye number reading principle in the image, a digit combination algorithm based on the human eye number reading principle is designed. By means of image color information of a ship body and water body, a method for identifying a water level in different color body color backgrounds is designed, wherein different identification methods can be selected according to different backgrounds, thereby ensuring high accuracy and high speed in water level identification. According to the position coordinate of the oblique number in each line and the position coordinate of thewater level, a length reference and oblique number correction algorithm is designed; wherein the actual pixel distance between water level and the number is calculated, and percentage of the pixel distance between the water level and the number in the actual length reference is calculated. Furthermore the number of the ship water gauge image is obtained.

The invention relates to a method for quantitatively evaluating orientation degree of short fiber reinforced composite fibers, which is characterized by selecting and determining a sectioning surface and sectioning a composite sample; acquiring a micrograph via an optical microscope or a scanning electron microscope; repainting the elliptic fiber section in the micrograph in graphic image software; extracting the lengths of long axis and short axis and an angle between the elliptic long axis and a coordinate axis in the repainted picture; calculating the direction vectors of the fibers corresponding to the ellipses according to the extracted parameters of the elliptic section; and calculating the parameters of the orientation degree of the composite along a specific direction. According to the method, the proper sectioning surface is selected so as to eliminate the calculation errors caused by condition that the same elliptic section corresponds to two fiber directions. In addition, a calculated mode given by the method considers the probability of sectioning the fibers, and the calculating result is more accurate in comparison with the calculated mode which does not consider the probability of sectioning the fibers.

The invention provides a time shift magnetotelluric signal acquisition and inversion method. The method comprises the following steps: arranging a plurality of signal receiving devices along a specified testing line in a testing region to acquire a plurality of groups of magnetotelluric signals in a time-sharing way; performing standard inversion on magnetotelluric original data obtained at an initial moment to obtain an initial moment underground electrical structure; forwarding the electrical structure to obtain a group of forwarding analog data, and subtracting original data from the analog data to obtain a data residual; subtracting the data residual from observed data at each moment to obtain a group of new time shift data sets; performing standard inversion by using a new time shift data set; during inversion, restraining the model updating direction to obtain an inversion result which is closer to a real situation. The method has the advantages that system errors in time shift data and calculation errors in a forwarding process are eliminated, the influences of system errors on the difference among different moment models can be lowered through a differential inversion result, and model change realized through inversion is closer to a real situation.

The invention provides a space camera field curvature detection device and method, relating to the field of space optical remote sensing. The space camera field curvature detection device comprises a heavy-calibre normal lens, a space camera used for receiving parallel light of the heavy-calibre normal lens and positioned at the lower end of the heavy-calibre normal lens, an optical engine, a Z-direction micrometric displacement platform, a data processing display and synchronous control system, thirty optical probes and an X-Y-direction micrometric displacement regulating frame, a flat plate and two Z-direction regulating supports, wherein the lower surface of the optical engine is positioned at the focal plane of the heavy-calibre normal lens, the Z-direction micrometric displacement platform is connected with the optical engine, the data processing display and synchronous control system is connected with the Z-direction micrometric displacement platform, the thirty optical probes and the XY-direction micrometric displacement regulating frame are connected with the data processing display and synchronous control system, the thirty optical probes are distributed on the X-Y-direction micrometric displacement regulating frame in a manner in which three lines and ten rows are arranged, the upper surface of the flat plate is positioned on the focal plane of the space camera, the thirty optical probes are positioned at the lower end of the flat plate, and the two Z-direction regulating supports are respectively fixed at two ends of the flat plate. The space camera field curvature detection device is small in measurement and calculation errors; and according to the space camera field curvature detection device, the detection problem of field curvature of the space camera is effectively solved.

The invention discloses a harmonic speed reducer flexspline structure integrated optimization method based on a gradient descent method, which adopts a gradient descent optimization algorithm to optimize the key structural parameters of the harmonic speed reducer flexspline. The method uses Solidworks to accurately model the flexspline, and establishes a flexspline parametrized model with teeth. A.vbs file is created, the flexspline parameterized model is exported to a .Igs file for ANSYS finite element analysis, the maximum stress in finite element simulation is extracted, isight is adoptedto integrate Solidworks, ANSYS and MATLAB to define the optimization parameters, optimization objectives and constraints of the flexspline. The structure of the flexspline is optimized based on the gradient descent optimization algorithm. Finally, the flexspline structural parameters with the smallest volume and the rated life are obtained. The optimization algorithm used in the invention greatlyreduces the optimization iteration times, considers the influence of the flexspline teeth on the stress and the service life of the harmonic speed reducer, and establishes a flexspline parameter modelwith teeth consistent with the actual working condition.

The invention provides a probability trend calculating method considering a large-scale photovoltaic grid-connected power generation system. The method comprises the following steps of: 1) establishing a typical U-I characteristic mathematical model of a grid-connected large-scale centralized photovoltaic grid-connected power generation system; 2) based on an MPPT control algorithm, calculating a maximum output power value of the large-scale centralized photovoltaic power generation system under a typical day illumination intensity, and calculating a mean value and a mean square error of output power; 3) determining a system net frame, considering a power output constraint, and carrying out Monte-Carlo sampling according to probability parameters of a power supply and loads in a system; and 4) considering a node voltage constraint, and calculating a probability trend of the electric power system according to a Newton-Raphson algorithm. According to the real-time illumination intensity of a typical day of someplace, the photovoltaic power generation model can precisely calculate the output of the photovoltaic power generation system and can automatically modify a photovoltaic output equation according to real-time illumination data and environment temperature changes, the method is simple, and the practicality is high.

The invention relates to a time synchronization method for a process level device of an intelligent substation, and the method comprises the steps: detecting whether there is an external synchronization signal or not in real time; entering into a time synchronization state if there is the external synchronization signal, and outputting a synchronization pulse through an FPGA; recording a series of continuous time intervals of time synchronization pulse at the time synchronization state through a counter in the FPGA, and enabling the time intervals to be sequentially stored in an internal memory of the FPGA in a circulating manner; judging whether the number of stored time intervals reaches a set value or not if there is no external synchronization signal; entering into a punctual state if the number of stored time intervals reaches the set value; enabling the number of stored time intervals to be outputted and form a punctual pulse; entering into a self-generating pulse state if the number of stored time intervals does not reach the set value, and generating a second pulse through a constant temperature crystal oscillator. The method provided by the invention can give consideration to the accuracy and timeliness of time synchronization of the device.

The invention relates to a real-time monitoring and controlling method and system for friction torque of a dry clutch. On the basis of the mechanical characteristic when a large end and a small end of a diaphragm spring are loaded simultaneously, displacement and acting force of the small end of the diaphragm spring are measured in real time by a sensor on an automobile, the purpose of monitoring the friction torque of the clutch in real time can be achieved, and the friction torque can further be controlled accurately according to the monitored friction torque. In a friction torque control process, current friction torque and controlled friction torque can be measured accurately, the friction torque control effect is ensured, and various problems caused during control of a black box system or a grey box system are avoided.

The invention discloses a digital display high-sensitivity conductivity and high-resistance resistivity measuring circuit which comprises a measuring circuit body, a precise amplifying and convertingcircuit and a digital A/D converting and displaying circuit in sequential connection. The measuring circuit body sends voltage signals of a measured resistor to the precise amplifying and converting circuit, and the voltage signals are adjusted to voltages for ratio method resistivity measurement after being subjected to impedance conversion and resistivity partial pressure by the precise amplifying and converting circuit. The precise amplifying and converting circuit sends adjusted reference voltages and adjusted measurement signal voltages to the digital A/D converting and displaying circuit, and the reference voltages and the signal voltages are converted into corresponding display values by the digital A/D converting and displaying circuit to be displayed. The invention further provides a digital display high-sensitivity conductivity and high-resistance resistivity measuring method. When the to-be-measured Rx changes according to the coefficient k, the measurement signal voltages/reference voltages can change in inversion proportion according to the same change coefficient k, and therefore conductivity measurement is realized, calculation errors in the prior art can be eliminated, and the measurement precision is high.

The invention provides a reversing roughing mill rolled piece tail tracking method based on self-learning and belongs to the technical field of metal pressure processing. The method includes: calculating the residual unrolled volume of a rolled piece according to the outlet thickness, outlet width, rolling mill speed and forward slip value of the rolling mill of each pass, calculating the unrolledlength of the rolled piece according to the inlet material thickness and width of the rolling mill, and performing self-learning according to the calculation result of the residual unrolled length and the total volume of the roller piece so as to increase the tail residual length tracking precision of the rolled piece. By the method, rolled piece tail length can be precisely tracked without a metal detector.

The invention relates to a sun identification device for a photovoltaic power station and belongs to the field of photovoltaic generation tracking systems. The device comprises a system computer provided with a module for positioning the sun by using a clock and a small double-shaft tracker controlled by the system computer, a small photovoltaic assembly is arranged on the small double-shaft tracker, an electric quantity detection device is arranged on the output of the small photovoltaic assembly and connected onto the system computer, the system computer first drives the small double-shaft tracker to perform primary position on the small photovoltaic assembly and collects electric quantity values on the electric quantity detection device, then the small double-shaft tracker drives the small photovoltaic assembly to move nearby the primary position, and the system computer collects electric quantity values at corresponding positions and selects the maximum electric quantity position as a new sun position for use of a large photovoltaic generating module after comparison with the electric quantity value at the primary position. The device is easy to popularize and apply to large photovoltaic generating modules.

The invention provides a photon neural network. The photon neural network comprises a laser array, a modulator array, a first beam combiner, a modulator, a beam splitter, a delay line, a second beam combiner and a detector, the laser array emits a plurality of laser beams with different wavelengths; the modulator array modulates the laser output by the laser array, and loads the weight of the convolution kernel to the light emitted by the laser array; the first beam combiner combines the modulated multiple laser beams to obtain a first light beam; the modulator modulates the first light beam and loads to-be-processed information to the first light beam; the beam splitter splits the first light beam loaded with the to-be-processed information to obtain a plurality of light beams with different wavelengths; the delay line enables the split multiple beams of light to generate equal difference delay; the second beam combiner combines the multiple beams of light after the equal difference time delay is generated to obtain a second light beam; and the detector receives the second light beam to realize dislocation addition of the signals. The number of control circuits is reduced, and meanwhile calculation errors caused by performance differences are eliminated.

The invention provides a method for measuring the distance between objects by using projections of the objects in a video. The method comprises the following steps of S01, building a model, wherein apoint A is set as a vertex of a camera, a point O is set as an intersection point of the bottom surface of the camera, points B and C are set as two measured objects, projections of the points B and Cand the ground are OB and OC respectively, a point B' is the projection of the point B and the ground in a video picture, a point C' is the projection of the point C and the ground in the video picture, the point A is connected with the point O by a straight line, the point A, the point B and the point B' are connected by a straight line, the point A, the point C and the point C' are connected bya straight line, the point O, the point OB and the point B' are connected by a straight line, the point B is connected with the point B' by a straight line, the point B is connected with the point OBby a straight line, the point C is connected with the point OC by a straight line, and the point OB is connected with the point OC by a straight line, so that the model is built; and calculating thedistance between the OB and the OC through mathematical calculation. According to the method, data of two-dimensional coordinates of an original video picture are not used and the calculation error caused by lens distortion is eliminated.

The invention relates to a health condition diagnosing, prewarning and defect locating method for a protective layer of a buried metal pipeline, comprising a precise measuring method for the cathode protection potential of the buried metal pipeline, a reliable assessment method for horizontal insulation resistance of the protective layer with unit length, a safety prewarning and defect locating method for the protective layer and a realizing method for the micro power consumption measurement of a meter. The invention provides a quality evaluating method for the protective layer of the buried metal pipeline.

The invention relates to a plasma jet velocity monitoring method and device. The method comprises the following steps: capturing a plurality of light patterns of laminar plasma, and determining the jet boundary of a plasma jet through the light-emitting boundary of the light patterns based on the positive correlation between the output power and the concentration of the plasma; determining the jetlength of the laminar plasma based on the axial jet boundary of the plasma jet from the jet outlet to the jet end; and calculating the average jet velocity of the plasma according to the jet length of the laminar plasma, and establishing a relation between the jet length of the laminar plasma and the arc current under the condition that different preset arc current jet velocities are kept unchanged. The method has the effects that the plasma jet velocity measurement process is simplified and the construction cost of the measurement system equipment is reduced.

The invention discloses a tracking, correcting method of a welding seam in a cold rolling production loop region and a system thereof. The method comprises the following steps: obtaining a proportionality coefficient K and an offset between a theoretic length curve and an actual length curve through the computation of a strip steel theoretic length and a theoretic length curve in a loop region, and the strip steel theoretic length and an actual length curve after the welding seam enters the loop region; obtaining the strip steel actual total length in the loop region through the computation of the proportionality coefficient K, the OFFSET and the strip steel theoretic length; comparing the strip steel actual length with the strip steel actual total length in the loop region to judge the actual position of the welding seam in the loop region so as to precisely trace the welding seam in the loop region; meanwhile, setting a synchronous position between an empty sleeve position and a full sleeve position, recalibrating an absolute value encoder once each loop trolley passes through the synchronous position so as to eliminate the computing error caused by the mechanical sliding; a welding seam tracing error value concept is established, and the correction measurements can be adopted aiming at different conditions of the welding seam tracing error value.

The invention discloses a rail deformation detection method, which belongs to the technical field of rail detection, and is characterized by comprising the following steps of: a, a data signal of an encoder is analyzed through a PLC, and the data signal is converted into a crane position value; b, the measuring trolley is mounted and fixed below a walking beam of the crane; c, the measuring trolley moves along with the whole stroke of the crane, and the PLC analyzes the data signal of the laser range finder and converts the data signal into a distance value between the laser range finder and the reflector; and d, the PLC compares the distance value between the two tracks with a preset data exception threshold value, and when the distance value exceeds the data exception threshold value, itis judged that the tracks deform. According to the invention, the track position can be detected in real time, the track gauge and position correspondence table is listed in combination with the track gauge data, so that each track gauge point has position traceability, the influence and calculation errors on track gauge detection under the condition of walking wheel deflection can be eliminated,and the detection precision is improved.

The invention relates to a parachute opening process and stable descending stage resistance area obtaining method, and belongs to the field of aerospace pneumatic deceleration. The method comprises the steps: 1, enabling a parachute storage cabin to do falling motion; 2, continuously shooting n pictures in the parachute opening process of the parachute through a camera; 3, counting the pixel number Ni of the maximum projection area of the parachute in the image shot at the ti moment; 4, converting the maximum projection area to a position which is L1 away from the camera according to the areacorrection proportionality coefficient ksp; 5, calculating a correction area Si of the maximum projection area; 6, calculating the resistance area CDSi in the parachute opening process; obtaining a change curve of the resistance area in the parachute opening process; similarly, calculating the resistance area CDSj and the average resistance area CDS in the parachute stable descending process. According to the method, the projection area of the parachute in the parachute opening process is calculated through camera shooting, the change rule of the resistance area of the parachute in the parachute opening process is obtained, and calculation of the resistance area of the parachute in the parachute stable descending process is also achieved.