39results about How to "Few parameters involved" patented technology

The invention discloses a neutral-point voltage control method of an NPC (neutral-point converter) type three-level inverter based on interval selection, belonging to the technical field of power electronics The method comprises the steps: selecting a phase which is maximum in an absolute value in the three phases as an adjusting phase, wherein a peak point of the adjusting phase is taken as a symmetrical point in the adjusting interval and the adjusting range is not greater than pi / 2; measuring the neutral-point voltage Unp in real time, comparing the Unp with a given value; determining the voltage offset amount according to the comparison result so as to adjust the modulating wave in the adjusting interval; and comparing the adjusted modulating wave with a carrier wave to output a PWM (pulse-width modulation) signal so as to control the work state of a switch tube of an inverter. With the adoption of the neutral-point voltage control method, fewer parameters are related, and only the neutral-point voltage needs to be detected, so that the method is simple in control structure and convenient to realize.

The invention relates to the technical field of exploration, in particular to a shale gas reservoir stratum exploration method and device. The shale gas reservoir stratum exploration method comprises the steps of obtaining a core sample in a target exploration area, determining hydrodynamic force causes of a shale bed to which the core sample belongs according to the shale sedimentary structure of the core sample, calculating the total organic carbon value of the core sample after the hydrodynamic force causes of the core sample are determined, determining shale gas storage information of the shale bed to which the core sample belongs according to the hydrodynamic force causes and the total organic carbon value of the core sample, and conducting shale gas reservoir stratum positioning exploration on the target exploration area according to the determined shale gas storage information. According to the shale gas reservoir stratum exploration method and device, the number of referred parameters is small, data are easy to obtain, the cost for evaluation of favorable zones and the reservoir stratum in the earlier stage of exploration is reduced, the evaluation period is shortened, the reservoir stratum evaluation problem existing in the earlier stage of exploration can be better solved, and actual requirements for shale gas exploration development can be better met.

The invention provides a classification method and device for a hyperspectral remote sensing image and storage equipment. According to the classification method for a hyperspectral remote sensing image, dimension reduction processing is performed on a high-dimensional hyperspectral remote sensing image, the training performed by sample data for a deep forest classification model is combined, and then a purpose of accurately and quickly classifying the hyperspectral remote sensing image is achieved through the trained deep forest classification model. The classification device for the hyperspectral remote sensing image and the storage equipment are used for implementing the classification method for the hyperspectral remote sensing image. The beneficial effects of the invention are that thehyperspectral remote sensing image is classified by using a deep forest algorithm, the classification accuracy and the classification speed of the deep forest classification model are improved, and the method provided by the invention involves fewer parameters, is easy to adjust and greatly improves the classification effect and practicability of the hyperspectral remote sensing image.

The invention discloses a distributed optical fiber vibration signal feature extraction and identification method, which belongs to the field of optical fiber sensing signal processing, and comprisesthe following steps of: firstly, acquiring a space-time matrix signal of a vibration source, extracting a space column signal, dividing a short-time signal unit, and constructing an optical cable vibration event data set; constructing, training and optimizing an improved mCNN model, and performing feature evaluation on features extracted by the model during optimization until model iteration is optimal; secondly, extracting time structure feature vectors under multiple scales in parallel by utilizing an optimal mCNN model, recombining the time structure feature vectors into a short-time feature sequence according to a time sequence, and constructing a time structure feature sequence set; finally, constructing and training an HMM model, and constructing an offline vibration event HMM modellibrary to serve as a classifier for vibration source recognition. The problems that in the prior art, local structure features and time sequence features of distributed optical fiber vibration signals cannot be extracted at the same time, and the vibration source recognition accuracy and the generalization ability of the model are low are solved.

The invention relates to a calculation method for displacement deformation of an existing tunnel caused by concentrated loads in the tunnel. The calculation method comprises the following steps: step1) establishing a mechanical model of heap loading in the tunnel; 2) calculating an additional load by adopting a derivation formula of a Peck formula; and 3) calculating tunnel settlement and deformation. The method has the beneficial effects that the joint effect between the tunnel rings is considered, a shear staggered platform model is introduced, meanwhile, shear deformation and staggered platform deformation between the tunnel rings are analyzed, the shear deformation and the staggered platform deformation are more consistent with an actual tunnel structure stress deformation mode, and atunnel settlement and deformation calculation result is more accurate; in the calculation method, the modeling is simple and clear; the calculation process of the soil body additional load is simpleand easy to understand, and the finally obtained load normal distribution function f (x) involves few parameters and is convenient to calculate and analyze.

The invention relates to a method for determining wind power curtailment at a wind farm based on anemometer data of an anemometer tower. The method includes the following steps: based on the anemometer data of the anemometer tower, taking factors such as terrains, land forms and wake flow of wind generation sets, into consideration, calculating the wind speeds at the highest positions of the wheel hubs of the wind generation sets, and in accordance with the power curve, obtaining theoretical power of the wind generation sets, calculating the sum of the theoretical power of all wind generation sets at the wind farm and obtaining theoretical power at the wind farm, finally respectively integrating the theoretical power at the wind farm and actual power over time, obtaining a theoretical quantity of electricity and an actual quantity of electricity, and obtaining the wind power curtailment by subtracting the theoretical quantity of electricity from the actual quantity of electricity, thus achieving an accurate calculation of the wind power curtailment at the wind farm. The method is generally applicable to all types of wind farms, and successively addresses the problem of inaccuracy of calculating wind power curtailment by using a template machine method.

The invention discloses a power transmission tower remaining life evaluation method based on a corrosion model. The evaluation method comprises the steps of a, determining invalid corrosion thickness delta<lim> of a power transmission tower through modeling analysis of a finite element model; b, calculating serving time t<max> when the power transmission tower reaches the invalid corrosion thickness delta<lim> according to a formula delta=At<n>, wherein the A and n are constant numbers; c, calculating serving time t<0> when the power transmission tower reaches current corrosion thickness delta<0> according to the formula delta=At<n>, wherein the A and n are constant numbers, and the current corrosion thickness delta<0> is obtained through actual detection; and d, calculating the remaining service life N<t> of the power transmission tower according to the formula N<t>=t<max>-t<0>. According to the design, the integrated remaining life of the power transmission tower can be evaluated, the accuracy is high, the application range is wide, the operation is simple and convenient, the cost is low, and the practicability is high.

The invention relates to the field of seismic oil and gas exploration and exploitation, and provides an inversion method of lithology parameters of pre-stack seismic reservoirs. The method includes lithology parameter inversion of seismic gradient impedance reservoirs, and growth of the reservoirs can be predicted.

The invention provides a parallel liquid phase chromatographic pump. The parallel liquid phase chromatographic pump comprises a cam with a camshaft, a pump head, at least two reciprocating fluid delivery mechanisms and a cam driving mechanism; the cam is an end cam; a cam curve comprises 1 to 5 curve units; and each curve unit comprises an ascending curve which can convert the rotating motion of the cam into the uniform linear motion of a plunger and a recession curve which enables the plunger to return in situ. Leads r of the ascending curve and the recession curve are both equal to 4v / npiD<2>, and a lead angle theta of the ascending curve is equal to 360 degrees / n, wherein v is the delivery volume of the parallel liquid phase chromatographic pump when the cam rotates a circle; D is the diameter of the plunger; n is the number of the plungers; and n is an integer of 2 to 10. A supporting roller has a conic shape; and the ratio of the circumference of one of any two cross sections of the supporting roller to the perimeter of the cam curve at the corresponding position is equal to the ratio of the circumference of the other of any two cross sections of the supporting roller to the perimeter of the cam curve at the corresponding position. The parallel liquid phase chromatographic pump has a simple structure and high fluid pressure stability, and is easy to design and process.

The invention discloses a light-source color estimation method of color images on the basis of sorting correction. The light-source color estimation method comprises the following steps of: extracting edge features of images on a group of images with known light-source colors, then learning by a least square method and obtaining a correction matrix between the edge features and light sources; then extracting the edge features of testing images to be processed, multiplying the edge features and the correction matrix, and obtaining a rough light-source estimation; then finding a kind of training images with the features similar to those of the testing images to be processed in a manner of searching for K adjacent images in a feature space so as to relearn and obtain accurate light-source estimation. The light-source color estimation method disclosed by the invention involves fewer parameters and also has the characteristics of simple calculation and fast speed and the like due to simple and fewer extracted features; in addition, the light-source color estimation method is based on learning, so that the processing effect is good and the accuracy is high. Therefore, the light-source color estimation method is very suitable for occasions with higher requirements for estimation of the light-source color.

The invention discloses a heuristic optimization method based on a two-line hybrid rice breeding mechanism. Search populations are classified into two classes: a maintainer line population and a sterile line population. On the basis of improvement of the genes of the sterile line population, the gene quality is improved and thus the high yield is obtained. According to the invention, the two-linehybrid rice breeding mechanism continues; the designed heuristic optimization method needs a few of parameters and the time complexity is reduced, so that the searching speed is increased while the search ability is ensured. The heuristic optimization method can be applied to the calculation process of complicated optimization problems like image processing, pattern recognition, traveling salesmanissue and resource scheduling. The high-quality feasible solution can be found out with the acceptable time costs.

The invention relates to a TOF imaging system capable of automatically adjusting exposure time and an automatic exposure method thereof. The system comprises a data acquisition module, a Zynq development platform control module and an upper computer module, wherein the data acquisition module comprises a TOF sensor for data acquisition; the Zynq development platform control module comprises a programmable logic unit and a processor unit; the programmable logic unit is used for acquiring data of the TOF sensor and transmitting the data to the processor unit for caching; and the processor unit is used for communicating with the upper computer module, configuring the TOF sensor and adjusting the exposure time, and enabling the TOF sensor to adjust the automatic exposure time in time in a dynamic environment by setting an automatic exposure algorithm. The automatic exposure method comprises three simple steps with less related parameters, the method can be simple, rapid and stable and can be suitable for automatic adjustment of exposure time in a dynamic environment, and a system using the exposure method can operate more stably.

The invention discloses a deflector mathematic model in the load shedding process of an impact type hydroelectric machine. According to the content, the influence coefficient on work done on a bucket of water flows rushing at the bucket after passing through a nozzle under the action of a deflector is expressed with a per unit value of a remaining water column area. The water retaining area of the deflector in the rotating process is related to the included angle of a water column, and the included angle of the water column can be determined through the angle by which a drift plate rotates around a fixed base point horizontally counterclockwise, the time from full-open to full-close of the deflector, the action time of the deflector and the opening degree of spray needles, and the angle, the time from full-open to full-close, the action time and the opening degree are easy to test.

The invention discloses a permanent-magnet DC motor speed online control method based on a membrane algorithm, comprising the following steps: S1, deriving input and output variables of a model needing to be built; S2, constructing a Gaussian process model and a second-order polynomial model; S3, constructing a three-layer membrane algorithm framework; and S4, completing speed control. As a biological heuristic algorithm with high parallelism, the membrane algorithm has good global and local optimization ability. Through the parallelism of the membrane algorithm, a prediction can be made quickly. Through communication between different membranes, the prediction effect of different models is enhanced. High-precision speed control can be achieved eventually. Moreover, the method has low requirement on the sensitivity of parameters, and involves very few parameters.

The invention discloses an investment data processing method and device, and belongs to the technical field of big data. The investment data processing method comprises the steps: obtaining risk valuedata corresponding to at least two investment projects; performing statistical classification on the at least two investment projects according to a preset risk value range to obtain investment projects of different levels and risk value data; inputting the risk value data into a preset risk equivalence model, and outputting asset allocation weight results of the at least two investment projects;and according to the asset allocation weight result, performing classification processing on the at least two investment projects. According to the investment data processing method and device provided by the embodiment of the invention, the simplified risk equity model and other data processing means are applied, and the model calculation is simple, and the processing result of the investment data is practically verified, so that the investment data processing method and device have better investment reference effect and investment return rate.

The invention discloses a low-illumination scene intelligent road monitoring rapid defogging method and device and electronic equipment, and the method comprises the steps: S1, designing a dark primary color adjustment model based on light intensity and color concentration through employing an HSI color space, and calibrating a dark primary color; s2, introducing a local luminous flux proportion of the scene, and calculating local ambient light; s3, calculating the transmittance of the monitoring scene according to S1 and S2; and S4, in combination with the transmissivity and the local ambient light, parallel computing is designed, and a road traffic monitoring scene is restored. According to the method, the accuracy of the transmissivity is improved by calibrating the dark primary color; by introducing the luminous flux proportion, the ambient light of the monitored scene is restrained, and the brightness of the restored scene is improved. In addition, due to the fact that the method is low in calculation complexity and high in parallelization degree, efficient and rapid defogging of the monitoring scene can be achieved. Therefore, a technical guarantee is provided for the intelligent road monitoring system to obtain real-time road conditions and implement intelligent monitoring in a low-illumination foggy environment.

The invention discloses a power transmission tower remaining life evaluation method based on a corrosion model. The evaluation method comprises the steps of a, determining invalid corrosion thickness delta<lim> of a power transmission tower through modeling analysis of a finite element model; b, calculating serving time t<max> when the power transmission tower reaches the invalid corrosion thickness delta<lim> according to a formula delta=At<n>, wherein the A and n are constant numbers; c, calculating serving time t<0> when the power transmission tower reaches current corrosion thickness delta<0> according to the formula delta=At<n>, wherein the A and n are constant numbers, and the current corrosion thickness delta<0> is obtained through actual detection; and d, calculating the remaining service life N<t> of the power transmission tower according to the formula N<t>=t<max>-t<0>. According to the design, the integrated remaining life of the power transmission tower can be evaluated, the accuracy is high, the application range is wide, the operation is simple and convenient, the cost is low, and the practicability is high.

The invention discloses a distributed optical fiber vibration signal feature extraction and identification method, which belongs to the field of optical fiber sensing signal processing. First, the space-time matrix signal of a vibration source is collected, the spatial column signal is extracted, and short-term signal units are divided to construct optical cable vibration event data. Then build, train and tune an improved mCNN model, and perform feature evaluation on the features extracted by the model during tuning until the model iteration reaches the optimum; then use the optimal mCNN model to extract the temporal structure feature vector at multiple scales in parallel , reorganized into short-term feature sequences in chronological order, and constructed a temporal structure feature sequence set; finally, an HMM model was constructed and trained, and an offline vibration event HMM model library was constructed as a classifier for vibration source identification. The invention solves the problems that the prior art cannot simultaneously extract the local structural features and time sequence features of the distributed optical fiber vibration signal, and the vibration source identification accuracy and model generalization ability are low.

The invention relates to the technical field of determination of production scale of a hard rock type uranium mine, and concretely discloses a method for determining the production scale of a hard rock type uranium mine. The method comprises the following steps of 1, using the existing ore deposit geological exploration information to obtain corresponding mine stoping reserves; 2, determining a mine vertical annual descending rate according to the ore deposit ore body characteristics; 3, using the existing ore deposit geological exploration information to obtain a mine stoping space height; and 4, determining and obtaining the production scale of the mine according to the mine stoping reserves, the mine vertical annual descending rate and the mine stoping space height obtained in the steps. The method for determining the production scale of the hard rock type uranium mine has the advantages of few related parameters, simple and convenient calculation, reliable result and the like. A reasonable production scale model of the uranium mine can be built; the determination on the scale of the hard rock type uranium mine is realized; and the reference is provided for the mine developmentand utilization.

Disclosed is an automatic detection system for a single-layer cutting device. The automatic detection system for the single-layer cutting device comprises a fixed base, a height recorder and a controlmodule, wherein the height recorder is arranged on the fixed base, and the control module controls a cutting head knife rest to make three-dimension motion. The height recorder includes a probe for measuring the relative height of a working plane. The control module includes a working plane scanning unit, a height recording unit and a cutting execution unit. The working plane scanning unit is used for controlling the height recorder to scan the working plane of a workbench along an S-shaped path. The height recording unit records the height value detected by the height recorder in the scanning process. According to the height value obtained by the height recording unit, the cutting execution unit makes the cutting head knife rest in the same height with the working plane of the workbenchto cut fabric. The automatic detection system for the single-layer cutting device adjusts the heights of cutters for executing a cutting task in real time when the cutters move to a corresponding area, it can be ensured that when the cutters perform the cutting task, the cutters not only does not cut a conveyor belt under the fabric but also can completely cut off the fabric to complete the cutting task perfectly.

The invention discloses a rapid identification method formacro-cell corrosion control modes of reinforcing steel bars in marinae concrete. The rapid identification method comprises the following steps of measuring a cathode reinforcing steel bar corrosion potential Emi-c before macro-cell corrosion and an anode reinforcing steel bar corrosion potential Emi-a before macro-cell corrosion in a concrete structure, and calculating a macro cell potential difference delta Ecorr1 between a cathode reinforcing steel bar and an anodereinforcing steel bar, wherein a boundary relational expression of the macro-cell corrosion control modes is Emi-c=0.5*(delta Ecorr1)-b, b is a constant, when b is 382, the boundary is a boundary for converting a cathode reinforcing steel bar control mode into a mixed control mode, and when b is 496, the boundary is a boundary for converting the mixed control mode into an anode reinforcing steel bar control mode. According to the rapid identification method, related electrochemical parameters are few, detection operation is convenient, the analysis process is simple, the control modes of macro-cell corrosion are classified and partitioned, and the macro-cell corrosion control modes of the reinforcing steel bars in concrete in all corrosion environments can be rapidly judged.

The invention discloses an analytical model for measuring the flow velocity of underground water by heating distributed optical fibers through pulses, which is characterized in that the distributed optical fibers are buried in a water-containing medium, the magnitude and the direction of the seepage flow velocity are quantitatively determined through the difference of the optical fiber cooling process, and a convective heat transfer analysis model of the seepage field is deduced under the action of a continuous linear heat source, wherein the model is more suitable for the heat transfer problem of the optical fibers buried in the porous medium. Model calculation results show that if the optical fibers are continuously heated, long heating time is needed when the temperature of the opticalfibers reaches the maximum temperature rise, so that more energy is consumed, a theoretical model for quantitatively calculating the flow velocity of underground water by adopting a thermal pulse-timedomain reflection technology is constructed, and a double-optical-fiber thermal pulse method and a four-optical-fiber thermal pulse method are provided. That is to say, after thermal pulses are injected into a heating element, the flow velocity of underground water can be conveniently calculated and the flow direction of the underground water can be determined by utilizing difference values or ratios of optical fiber temperature measurement data at different positions.

The invention discloses a rapid identification method for corrosion control mode of steel bar macro cells in marine concrete, and measures the corrosion potential E of cathode steel bars before macro cell corrosion occurs in concrete structures mi‑c Corrosion potential E of anodic steel bars before corrosion occurs in the macro cell mi‑a , calculate the macrocell potential difference ΔE between the cathode and anode steel bars corr 1. The demarcation relation of macro battery corrosion control mode is E mi‑c =0.5×(ΔE corr 1)-b, b is a constant, when b is taken as 382, ​​it is the boundary between the control mode of cathode steel bar and the control mode of mixed control mode, and when b is taken as 496, it is the boundary line between the control mode of mixed control mode and the control mode of anode steel bar. The rapid identification method of the present invention involves few electrochemical parameters, convenient detection and operation, and simple analysis process.

The invention discloses a method for evaluating the consistency of processing strength of shredded leaves in a drum drying process based on the heating process of shredded shreds. B. Obtain the inlet temperature of the shredded blades and the outlet temperature of the shredded blades according to the temperature distribution curve; measure the moisture content of the shredded blades at the outlet of the corresponding drum; C, calculate the processing intensity of the shredded blades in the drying process of the batch according to the above parameters and formula; D. Judging the consistency of shredded shreds processing strength based on the absolute value of the difference between the processing strength of shredded blades in the drying process of the target drum or batch and the processing strength of shredded blades in the drying process of the drum or batch to be tested. The invention realizes the transformation of the processing intensity index of drum-dried shredded leaves from qualitative analysis to quantitative analysis, effectively evaluates the processing effect of different process parameter groups of the same drum, the drum processing effect of different production lines, etc., and has strong guiding significance for the actual production process .

A method based on anemometer tower measurement data for determining the discarded wind electrical power of wind farms. On the basis of anemometer tower measurement data, the method takes into consideration the impact of such factors as terrain, topography, and wind turbine wake, calculates wind speed at wind turbine hub height, and obtains a theoretical wind turbine power according to a power curve, then adds up the theoretical power of all the wind turbines of a wind farm to obtain a total theoretical power thereof; finally, the total theoretical power of the wind farm and the actual power thereof are respectively integrated over time, to obtain a theoretical and an actual electrical power; subtracting one from the other yields the discarded wind electrical power of the wind farm, thus providing precise calculation of wind farm discarded wind electrical power. The present method is applicable to all types of wind farm and resolves problems of low accuracy in the calculation by the sample turbine method of discarded wind electrical power.