56results about How to "Fewer input parameters" patented technology

The invention discloses a measurement method for determining a position of a crane hook, which comprises the following steps of: 1, during the filling, ensuring that a folding cylinder only takes a working condition, locking a piston rod of the folding cylinder firmly after extending to the farthest place, finally enabling a folding arm, the folding cylinder and a telescopic arm to form a rigid body; 2, establishing a sphere coordinate system with a hinge point center of the folding arm and a rotary table as a coordinate origin O, wherein the connecting line of the coordinate origin O and thecenter point C of a fixed pulley of the crane hook is a coordinate radius phi, and regulating the telescopic direction of the telescopic arm to ensure that the telescopic arm is parallel to the coordinate radius phi, wherein the state is an initial zero state of an ejector arm of the crane; and 3, during the work, always ensuring that the telescopic direction of the telescopic arm is parallel to the coordinate radius phi, measuring the length variable value delta L of the telescopic arm, the length variable value delta h of a steel rope, the amplitude angle variable value delta alpha of the folding arm and the rotary angle theta of the rotary table by using a sensor to obtain the position of the crane hook. The invention reduces the parameters required for determining the position.

The invention discloses a wet type ball grinder load parameter integrated modeling method based on EEMD (ensemble empirical mode decomposition) and relates to a parameter measuring method of ore grinding production. The method includes: on the basis of ensemble empirical mode self-adaption decomposition nonlinear unstable cylinder vibration and vibration sound signal intrinsic mode functions (IMFs) and frequency spectrum of IMFs, using a interval partial least squares (iPLS) method to extract IMFs local frequency spectrum reflecting ball grinder load parameter change, fusing with current signals, and building an ore grinding concentration, filling rate and material-media ratio grinder load parameter integrated model on the basis of an extreme learning machine (ELM). By the method, the problem that the load parameters of a wet type ball grinder is hard to detect is solved, the defect of steady state hypothesis during ball grinder signal analyzing is overcome, and generalization and stability of the integrated model are increased.

The invention discloses a travel information processing method and a relative device. The method includes the steps of obtaining travel information of a travel in a preset travel schedule, wherein the travel information includes target position information; obtaining information of a starting position where a user is located currently, wherein the information of the starting position includes the geographical coordinate of the starting position; obtaining reference information of the travel according to the information of the starting position and the travel information, wherein the reference information includes circuit diagrams of one or more routes between the starting position corresponding to the information of the starting position and a target position corresponding to the target position information, the route distance of each route, the traffic jam probability of each route and / or elapsed time of each route. According to the method, input parameters of the user can be reduced, operations are easy and convenient to carry out, and the user can use the method and the device greatly conveniently.

The embodiment of the invention provides a soil moisture hybrid remote sensing retrieval method and system. The soil moisture hybrid remote sensing retrieval method comprises the following steps: acquiring first remote sensing image data and first meteorological data of a required earth surface type area of an estimation area, wherein the first remote sensing image data comprise a first visible light band reflectivity, a first near-infrared band reflectivity and a first short-wave infrared band reflectivity, and the first meteorological data comprise a first relative humidity and a first air humidity; calculating a first ratio vegetation index and a first land surface water index of the estimation area; and calculating a first soil moisture of the estimation area according to the first ratio vegetation index, the first land surface water index, the first meteorological data and a soil moisture hybrid remote sensing retrieval model. The soil moisture hybrid remote sensing retrieval method and system provided by the embodiment of the invention require less input parameters, are simple and flexible, are easy to operate, and has a wide application face and a broad application prospect.

The invention discloses a method for optimizing the type-selecting of a wind power generator set comprehensively in the technical field of wind power generation. The method disclosed by the invention is provided with two stages of preliminary type selecting and type selecting in detail; at the stage of preliminary type selecting, calculating a resource match index and a machine type cost index ofeach machine type to be selected respectively, and determining the selected machine type according to a comprehensive match index; and at the type selecting stage in detail, calculating the network access electric quantity per year of each selected machine type and the total service life cycle cost respectively, and determining a recommended proposal according to the comprehensive value index. The method provided by the invention has the advantages of less input parameters, is simple and convenient to operate, and the like, and is suitable for the type selection work of the wind power generator set in a wind power station engineering design.

The invention discloses a multi-state multi-task system reliability parameter analyzing method. The method comprises the steps that AS trees are utilized to describe logic structure relation of each stage of a multi-stage task system, and a multi-state multi-stage task system simulation algorithm is given based on a discrete event simulation thought. The simulation algorithm can calculate multiple parameters such as multi-state PMS system reliability, required input parameters are few, programming realization is simple, the simulation algorithm can well describe complicated behaviors of the multi-stage task system, multiple reliability parameters for knowing a system reliability parameter can be obtained, and the simulation algorithm has very strong universality and practicability.

The embodiment of the invention provides a method and a device for obtaining a sub-single event effect cross section of a device. The method comprises the following steps: determining a category of adevice to be tested; obtaining the NSEE cross section of the device to be tested according to the neutron single event effect NSEE cross section formula corresponding to the category; wherein, the NSEE cross-sectional formula is obtained by fitting the NSEE cross-sectional history data of the sample device. A method and apparatus provide by an embodiment of the present invention, the NSEE cross-section formula of each type of sample device is fitted by classifying and analyzing the historical data of the sample device without relying on the test data. The NSEE cross-section formula of each type of sample device is obtained by using the corresponding NSEE cross-section formula according to the type of the device to be tested. The utility model has the characteristics of fewer input parameters and easy realization, and is convenient for engineering application. The NSEE cross section of the device can be obtained quickly, the design cycle of avionics products can be effectively reduced,and the reliability of the device under atmospheric neutron radiation environment can be improved.

The invention provides a temperature-dominated variable source runoff production mode simulation method for a permafrost region. The method comprises the following steps: extracting a hydrological response unit (HRU) of a research region; determining a research time period in which variable source runoff production mode simulation needs to be performed; obtaining basic geographic information of the research region and basic meteorological data of the research region in a research time period; and simulating the runoff production process of the research region in the research time period. The invention has the advantages that input parameters of the temperature variable source runoff production model are few, only air temperature and rainfall data are included, surface temperature and soilmoisture data are obtained through calculation of modules in the model, and the invention is suitable for frozen soil regions, especially frozen soil regions lacking data; 2) the model is simple and convenient, complex numerical calculation is not involved, and the calculation speed is high; 3) a temperature variable source runoff production mechanism is provided for the model, and the simulationprecision of the slope runoff production and basin runoff formation process under freeze-thaw cycle control is improved; and 4) the model time step length setting is flexible and changeable, and the use is flexible and convenient.

The invention discloses a method for quickly estimating the average diameter of spray water droplets based on nozzle dynamic parameters, and belongs to the field of ground icing experiments. The method includes first obtaining the water pressure value Pw at the nozzle, the air pressure value Pa, and determining the maximum air pressure Pmax when the spray can be formed at the nozzle according to experiments; then by the formula Estimate the average diameter MVD of the spray water droplets, wherein K, m and n are constants, which are obtained by least squares fitting with the MVD obtained from the experimental measurement after the linearization of the formula (1). Compared with the prior art, the method for quickly estimating the average diameter of spray water droplets based on nozzle dynamic parameters provided by the present invention can obtain the average diameter of spray water droplets with less error through fewer input parameters, while shortening the debugging cycle, More economical and energy-saving.

The invention discloses a adjusting method for automatic exposure and automatic gain, which includes the following steps: (1) dividing an input image into N*N sub-areas and calculating the average imaging brightness of each area; (2) obtaining the actual brightness of each area; (3) calculating the optimal exposure time of the area; (4) obtaining the optimal exposure time; (5) pre-detecting the imaging brightness value of each area under the exposure time; (6) calculating the optimal gain value; (7) setting the imaging time and gain of an imaging sensor, shooting the image of next frame and repeating the steps until target exposure brightness is achieved. An adjusting device for applying the method for automatic exposure and automatic gain includes an imaging sensor, an image processing module, an automatic exposure calculating module, an automatic gain calculating module and an imaging control module. The invention can rapidly adjust the exposure time and the gain value.

The invention relates to an unfrozen water model based on adsorption and capillary coupling effect, which is prepared by the following steps: (1) collecting a soil sample, measuring the specific surface area AS of the soil and the humidity at room temperature, and taking the humidity of the soil at room temperature as the initial water content w0; (2) establishing an unfrozen water content model, and calculating the unfrozen water content wu; the method has the advantages of simple expression, few input parameters, convenience in calculation and deeper theoretical basis.

The invention provides an information pushing effect evaluation method and device, electronic equipment and a storage medium. The method comprises the steps of determining a feature vector of to-be-pushed information; inputting the feature vector into an effect evaluation model to obtain an effect evaluation result output by the effect evaluation model, the effect evaluation model being obtained based on a sample feature vector of to-be-pushed sample information, a sample fact output vector and effect label training; the effect evaluation model is constructed on the basis of the generative adversarial network, the composition of the model is simplified on the basis of a traditional scheme, so that the lightweight effect evaluation model is obtained, meanwhile, input parameters of the model can be greatly reduced, various problems caused by the fact that two adversarial generators are needed in the traditional scheme are completely solved, and the method is suitable for large-scale popularization and application. According to the method, lightweight calculation is realized, namely, the effect evaluation process is faster, real-time decision can be supported, and the method has relatively high implementability.

The invention aims to provide a waveform recognition method and device for a servo welding system. The waveform recognition method comprises the steps that: a reference program is determined accordingto motion control of a servo welding system and program starting information; the waveform recognition model of the servo welding system is established according to a reference program; the current waveform information of motion control of the servo welding system is recognized when the reference program runs by utilizing the waveform recognition model; and it is determined whether the servo welding system is driven abnormally or not according to the current waveform information. Therefore, consistency with industrial logic is achieved, the abnormal state of the servo welding system is accurately recognized and reflected through deviation of the position, the number of needed input parameters is small, and communication resources can be saved.

The invention discloses a travel information processing method and a relative device. The method includes the steps of obtaining travel information of a travel in a preset travel schedule, wherein the travel information includes target position information; obtaining information of a starting position where a user is located currently, wherein the information of the starting position includes the geographical coordinate of the starting position; obtaining reference information of the travel according to the information of the starting position and the travel information, wherein the reference information includes circuit diagrams of one or more routes between the starting position corresponding to the information of the starting position and a target position corresponding to the target position information, the route distance of each route, the traffic jam probability of each route and / or elapsed time of each route. According to the method, input parameters of the user can be reduced, operations are easy and convenient to carry out, and the user can use the method and the device greatly conveniently.

The invention discloses a soil and vegetation mixed spectrum measurement method and a simulation system. The system comprises a field spectrograph, an observation zone and a computer processing unit, wherein the field spectrograph is used for observing the DN (digital number) values of a soil and vegetation mixed sample and a reference plate in the observation zone so as to obtain the DN value of the reference plate and the DN value of a mixed pixel spectrograph; the field spectrograph is connected with the computer processing unit through a data line, and calculates the actual reflection rate R of the observation zone according to the DN value of the reference plate and the DN value of the mixed pixel spectrum at different soil and vegetation proportions; the established spectrum mixed model is verified or improved by utilizing the actual reflection rate R of the observation zone, and finally, the spectrum of different soil and vegetation mixed proportions is calculated by utilizing the determined spectrum mixed model. According to the soil and vegetation mixed spectrum measurement method and the simulation system disclosed by the invention, the mixed spectrum research from qualitative to quantitative research development is promoted; the mixed pixel spectrum inversion accuracy is improved; the soil and vegetation mixed spectrum measurement method and the simulation system has important guidance and demonstration significance to the soil and vegetation spectrum inversion at different cover degree conditions.

A constant displacement quality control method of steel rail flame welding heating and post-weld normalizing comprises the following steps: locking an upsetting oil cylinder by controlling a magnet valve and a pilot operated check valve on the stock cylinder oil circuit of the upsetting oil cylinder so that the longitudinal displacement of the steel rail keeps constant; simultaneously, detecting the retaining pressure of the upsetting oil cylinder in real time through a pressure sensor, and then calculating and obtaining the temperature of the steel rail according to the curve of the relationship between the preset welding temperature of steel rail and the longitudinal deformation resistance of steel rail; when the temperature of steel rail reaches the preset welding temperature, controlling a heating device to stop heating, carrying out upsetting pressure retaining shearing, air-cooled cooling and post-weld normalizing. The method is capable of automatically controlling the temperature of gas-pressure welding and pressure retaining and normalizing of steel rail in closed loop, thereby having few control input parameters, simple and convenient operation, accurate control for temperature, strong anti-interference, small error, high precision, good technical uniformity and repeatability, more stable and reliable welding quality, and high one-time welding success ratio.