51results about How to "Improve data processing accuracy" patented technology

The invention provides a method for laser-melting and fast forming of a choosing area of a medical implant moulage, which refers to measuring an organ of a patient to obtain the original data for a medical implant; three-dimensional CAD software is adopted to transform the original data into a three-dimensional CAD model for secondary processing and then for slicing processing so as to obtain a multi-layer-slice two-dimensional CAD data model of the medical implant; scanning path planning is carried out to the two-dimensional CAD data model of each slice to obtain scanning path data which is guided into a host computer of a choosing area laser-melting and fast forming device, and a layer-to-layer fast scanning method is adopted to carry out the choosing area laser-melting and fast forming to paraffin powder so as to prepare and obtain the medical implant moulage; the medical implant moulage is taken out to clear redundant paraffin power on the surface. The slicing processing of the invention does not relate to STL format data; the formed moulage has dense tissue, thus no more processing is needed after infiltration of the paraffin, small scale forming equipment can be realized, equipment producing cost can be reduced and forming time is shortened.

The invention relates to a gravity anomaly data processing method applicable to a strapdown marine gravimeter. According to the method, a kalman filter adopted, an attitude error in inertial navigation calculation is estimated, correction is performed on an attitude matrix and a vertical specific force component so as to acquire more accurate specific force information, then correction items of the gravity are calculated according to location, speed and height information provided by a PPP technology, and finally gravity anomaly information along the route is acquired through low-pass filtering. The gravity anomaly data processing method can be applied to data processing of the marine gravimeter, is high in disturbance resisting capacity, has high data processing precision, can act as a data processing method for gravity anomaly extraction of a high-precision marine gravimeter, and is particularly applicable to gravity anomaly extraction of a high-precision strapdown moving-base marine gravimeter.

The invention discloses an online monitoring method for insulation of a three-phase asynchronous alternating current motor stator. The online monitoring method comprises the following steps of synchronously collecting voltage and current signals of a motor insulation system; using a PWM (pulse width modulation) demodulation technique to process the collected voltage and current signals of the motor; extracting feature indexes of the processed signals, such as a MCSA (motor current signature analysis) feature index, a current signal statistical mode identification index, a sequence voltage distribution statistical index, a Park conversion feature index, a three-phase alternating current voltage difference statistical index and a three-phase alternating current difference statistical index; using each extracted index as a training set of a support vector machine to pre-diagnose the state, outputting the comprehensive state pre-diagnosis result of the motor insulation system, and evaluating the running state of the motor insulation system on line. The online monitoring method for the motor insulation system has the advantages that the motor insulation state can be effectively monitored for a long time; by integrating multiple types of insulation feature indexes, the reliability and monitoring precision of the method are improved, and the data processing precision is high.

The invention relates to a dynamic precision assessment method based on a movable base gravity meter, and the method comprises the steps: enabling the movable base gravity meter to be installed on a specially designed test vehicle, and selecting a proper test road segment for reciprocating running measurement; and achieving the precise and effective assessment of inner coincidence precision of the movable base gravity meter through the comparison of multiple gravity abnormal values of the same road segment. Moreover, the method is simple, is easy to implement, is low in cost, and is high in efficiency. In addition, a processing method for gravity abnormality data is strong in anti-interference capability, is higher in data processing precision, and is especially suitable for the gravity abnormality extraction of a high-precision movable base gravity meter. The method can be used for assessing the inner coincidence measurement precision of the movable base gravity meter, and is suitable for the field running test of the movable base gravity meter.

The invention discloses a rolling bearing fault prognostics method based on logistic regression and J divergence. The method comprises the following steps: fault sensing data at different fault positions in the case of bearing operation and normal sensing data for bearing operation in a normal state are acquired, preprocessing and feature extraction are carried out on the fault sensing data and the normal sensing data respectively, and fault position feature samples and normal state feature samples are built; through the well-built fault position samples and the normal state samples, a logistic regression model is trained, logic model parameters are obtained, and a logistic regression model is built. Targeted fault diagnosis is carried out on the bearing according to the health decline degree of the bearing, parameters such as a training sample type, a feature value type and a health threshold are changed according to different working conditions and different objects, the trained model can be adjusted, and the method and the system have the advantages of strong real-time performance, high data processing precision, good robustness of a core algorithm, high state evaluation accurate, high diagnosis result accuracy and the like.

The invention discloses a test method and system of suitability of soil heavy metal of an agricultural regional plot of land, belonging to the technical field of soil test. The method comprises the following steps of: S1, according to a random sampling way, selecting preset number of sampling nodes, obtaining the multivariate data of each sampling node, and recording the coordinate data of all sampling nodes; S2, respectively carrying out data processing for data of each attribute in the multivariate data to eliminate abnormal data; S3, respectively interpolating and fitting the data of each attribute to obtain a multi-index evaluation data set for representing an range of an agricultural regional plot of land to be tested; S4, and determining the soil pollution degree of the range of the agricultural regional plot of land to be tested according to the multi-index evaluation data set. The invention provides a data processing flow method relative to improving the reasonable test for soil heavy metal of the regional plot of land. The data quality can be effectively ensured, meanwhile the data processing accuracy is increased, and therefore the test accuracy of the heavy metal soil of the agricultural regional plot of land is increased.

The invention discloses a method for determining a container model of a single tooth, in particular to a method for determining a container model based on tooth surface characteristics and a local three-dimensional right angle coordinate system, which mainly comprises the following steps: based on a segmentation tooth digital model, reflecting the curve degree at the peak by utilizing complex collection of a triangular facet and a discrete Gaussian curvature, collecting surface feature points of a single tooth; based on the surface feature points of the single tooth, establishing corresponding local three-dimensional right angle coordinates for incisor teeth, cuspid teeth, premolar teeth, and odontoprisis; and respectively establishing the container models of the incisor teeth, the premolar teeth, the odontoprisis and the cuspid teeth by using extreme values of the single tooth model under the three-dimensional right angle coordinate system. The invention has the advantages of novel and reasonable design, convenient implementation, high operating speed, high data processing accuracy and good implementation effect, can extract characteristic points of teeth and facilitate the operation on teeth, and can be used in the tooth correcting system.

The invention relates to an optimization method for sensor output data of a ship comprehensive control system. The method comprises the following steps: (1) an information comprehensive display unit receives the data output by a sensor; (2) the information comprehensive display unit performs validity processing on the received data; (3) the information comprehensive display unit performs rationality processing on the received data; (4) the information comprehensive display unit performs consistency processing on the received data; (5) the information comprehensive display unit performs uniform integration processing on the received position data; (6) the information comprehensive display unit performs Kalman filtering processing on the data processed in steps (1)-(5); and (7) the steps (1)-(6) are repeated to finish optimization of the sensor output data. The method provided by the invention is a data processing method, which has high precision and high working efficiency and conforms to the needs for safe sailing of modern ships with increased tonnage and speed.

The invention discloses a PVC glove real-time detection system based on machine vision. The PVC glove real-time detection system comprises a surface processing platform, a preliminary detection platform, a machine vision detection platform, a data processing module, a controller, a real-time early warning module and an early warning management module. Through cooperative use of an image acquisition module and a contact sensor, damage flaws of a glove can be detected in real time, pollution flaws on the surface of the glove can be detected, and meanwhile real-time interactive processing is achieved through the controller. According to the invention, the change trend of the processing information of a plurality of to-be-detected gloves detected by the data processing module within a preset time is graphically displayed; whether the corresponding processing equipment has a trend of producing unqualified to-be-detected gloves or not is determined according to the processing information ofthe plurality of to-be-detected gloves; the production parameters of the corresponding processing equipment are adjusted in time, and unqualified to-be-detected gloves are prevented from being produced; and the effect of increasing the production qualification rate in production is achieved.

The invention discloses a harmonic analysis method. The harmonic analysis method comprises the steps that (1) continuous sampling is carried out on electrical signals with the period of T at fixed frequency f0 to acquire an original sampling array S, wherein the sampling time is M no less than 2T, and the original sampling array S comprises data of M/T periods; (2) a value in the original sampling array of S is interpolated into the same period T to acquire an array Sc; (3) a sampling value with the time closest to all FFT sampling time points is found out from the array Sc to acquire an array St; and (4) FFT fast Fourier transforming is used to calculate an St test result to acquire harmonic data. According to the harmonic analysis method provided by the invention, ADC frequency is not required, so that hardware cost is not increased; by adjusting the continuous sampling time of the electrical signals with the period of T, high-density sampling data can be acquired; the sampling effect same as improving sampling frequency is acquired; the sampling data are improved; and the data processing accuracy is accordingly improved.

The invention provides a target parameter processing method and system based on a three-dimensional ultrasonic image. The method comprises the following steps: to-be-processed three-dimensional ultrasonic body data is acquired; a reference axis of the three-dimensional ultrasonic body data is determined; the three-dimensional ultrasonic body data is partitioned according to the reference axis to acquire a plurality of two-dimensional outlines; triangle reconstruction is performed based on the two-dimensional outlines, so that the surface of the three-dimensional ultrasonic body is partitioned into a plurality of triangles; the target center spot of the three-dimensional ultrasonic body data is determined, and a plurality of triangular pyramids corresponding to the volume of the three-dimensional body are acquired according to the target center spot and the acquired triangles; the surface area of the three-dimensional ultrasonic body is calculated according to the triangles, and the volume of the three-dimensional ultrasonic body is calculated according to the triangular pyramids. The processing method performs the calculation of the target volume and surface area by utilizing the thought of triangle reconstruction and triangular pyramid reconstruction, and the precision of data processing is high.

The invention belongs to the technical field of vehicle weighing, and discloses a vehicle strain weighing system, for solving the technical problem of providing a strain weighing system which is quite high in weighing precision and quite high in reliability. The technical scheme employed by the invention is as follows: the vehicle strain weighing system comprises a weighing bench, a vehicle detection module, a control module, an equipment monitoring alarm module, a communication module, a management bench and an onsite display module. The control module comprises an A/D converter and a data processing module. The vehicle detection module and the equipment monitoring alarm module are both connected with the weighing bench, the control module is connected with the vehicle detection module, the communication module, the management bench and the onsite display module, and the management bench is also connected with the equipment monitoring alarm module. The vehicle strain weighing system is applied to the field of road traffic management.

The present invention provides an intelligent on-duty robot system and control method in a power distribution room, including an intelligent on-duty robot system in a power distribution room, including at least one terminal layer, a communication layer connected to the terminal layer, and an interactive layer connected to the communication layer, The terminal layer includes an acquisition part arranged inside the power distribution room system. The present invention also provides a method, including step 1) data acquisition: step 2) data transmission: step 3) data interaction: the cloud server and the physical server pair The transmitted data information is analyzed and diagnosed, and the interaction is realized through the BS terminal or App terminal set in the client or mobile terminal. The BS terminal is responsible for the signaling interaction between the user and the front-end data and the equipment in the power distribution room to realize power distribution. Operation control and management of indoor equipment and data display of positioning information.

The invention relates to the technical field of ocean geophysical exploration, in particular to a deep-towed high-resolution multichannel seismic data fine processing method, which comprises the following steps: placing a deep-towed seismic source and each detection point on a floating reference surface, acquiring floating reference surface correction values of multichannel seismic data, and performing floating reference surface correction on a CMP (chemical mechanical polishing) gather; performing dynamic correction on the CMP gather, obtaining residual time difference in the CMP gather after dynamic correction, and performing residual time difference correction on the CMP gather; calculating self-excitation and self-receiving time difference according to the travel time of the seabed reflected waves after the residual time difference correction in the CMP gather and the corresponding self-excitation and self-receiving time, and performing self-excitation and self-receiving time difference correction; performing non-consistency time difference correction on the CMP gather after self-excitation and self-receiving time difference correction by using a phase substitution method; and performing seabed smooth time difference correction on the stacked section after the non-consistency time difference correction. According to the method, various time differences can be fully eliminated, and high-resolution, high-signal-to-noise-ratio and high-fidelity imaging of the formation structure form below the seabed is achieved.

The invention relates to the technical field of meteorological monitoring, and more particularly to a weather station based on a 32-bit floating-point processor, mainly comprising a DSP processor unit, a weather collecting unit, a first level conversion module, a second level conversion module, a storage battery, a solar panel, a serial communication module, a wireless transmission module, an LED display and a host computer. The output end of the DSP processor unit is connected with the input end of the serial communication module and the input end of the wireless transmission module. The input end of the LED display is connected with the output end of the serial communication module. The output end of the wireless transmission module is connected with the DSP processor unit, and the receiver end is connected to the host computer. The weather station adopts the 32-bit floating-point processor as the control processing core of the system, reduces the calculation error in data processing, increases the precision of the data processing, simplifies the data calculation process, thus reduces the burden of the core processor, and makes the control system more secure and stable.

The invention discloses a motor coordinate transformation control method and system. The method includes: when k and a function value corresponding to each other are stored in a single-chip microcomputer of the control system, a current phase angle theta1 of a motor rotor is determined, k is a number of corresponding parts of the phase angle theta of the motor rotor, and a 360-degree angle is divided into 2n equal parts; when accuracy of each part is radian, the function value is equal to sin theta increased by 2m times, k is a consecutive integer larger than or equal to 0, n and m are both integers larger than 1; the number k1 of corresponding parts of the theta1 is calculated; according to the k1, a first function value corresponding to the k1 in the single-chip microcomputer is queried; the first function value is diminished by 2m times to obtain the value of sin theta1, and motor control parameters are calculated.

The invention can provide a Method and system for aided driving of excavator, equipment and a storage mediumand the method comprises the steps: obtaining a real-time image in a video shot by a first camera on the excavator, and carrying out target recognition of the real-time image, so as to extract the position information of an excavator bucket of the excavator; determining bucket depth information according to the bucket position information; searching a pixel region matching the bucket depth information from the real-time image. and marking a pixel area on the real-time image in the video so as to form the projection of the excavator bucket on the ground in the real-time image. A reference object can be provided for a driver by marking the shot real-time image, so that the excavator driver is assisted to more accurately judge the distance of the ground, the driving operation difficulty of the excavator is reduced, the dependence on the operation experience and the working state of the driver is reduced. And the problems of misoperation of the driver and the like caused by the fact that the ground distance cannot be distinguished are fundamentally solved.

The invention provides a multi-phase image arbitrary reflector velocity interferometer data processing method, which is characterized by comprising the following steps: S1, processing a single original image to obtain a plurality of multi-phase images; s2, performing phase solving by using the multi-phase image; s3, phase unwrapping is carried out, and the shock wave velocity is obtained through calculation; wherein the step S2 is carried out according to the following steps: S21, calculating to obtain the phase distribution of the original image; s22, solving a phase error so as to solve a phase; s23, judging whether the phase distribution is correct or not by utilizing a probability density function; by adopting the method, through curve comparison before and after probability density function processing, the uniformity of phase distribution is obviously improved by using the method; compared with a traditional data processing method, a point-to-point phase calculation method is adopted, spatial resolution of data processing is effectively improved, influences of phase errors are compensated in the processing process, and therefore data processing errors are effectively reduced.

The invention discloses a detection method of the passive resistance of an electronic device. According to the detection method, a reasonable tap position of an adjustable resistor is selected according to the theoretical range of testing resistance; collection and measurement are carried out at fixed time points; when resistance in different range intervals is measured, the adjustable resistor is switched to a different tap position; a direct-current alternating measurement method is adopted to further improve the accuracy of the resistance according to the selected tap position; and finally, with two methods mentioned in descriptions of the invention used in combination, the resistance value of the electronic device is calculated through adopting a curve fitting method. With the detection method provided by the technical schemes of the invention adopted, measurement accuracy and precision can be ensured. The detection method has a high engineering application value.