38 results about "Integrating factor" patented technology

The invention discloses a control method for ordered charging of an electromobile. The control method comprises the following steps of firstly, establishing a charging load characteristic model of the electromobile by integrating factors of battery characteristics, a charging mode and behaviors and habits of users; secondly, with the goal of minimizing the difference between the peak and the valley of a load, establishing a centralized optimization model according to the minimal variance of load demands at all time intervals and the average load level, enabling the load fluctuation to be minimized, and realizing the stabilization of the load to obtain reference optimized power; thirdly, establishing a distributed optimization model, and optimizing an individual charging scheme according to the reference optimized power obtained by a power grid and a middle manager in the optimizing process of the second step and dynamic electricity price in 24 hours. A cooperative control model is established by adopting a centralized and distributed combined optimized control idea, so that the negative effect of large-scale disordered charging of the electromobile on planning and operation of the power grid is reduced.

The invention relates to a line loss level evaluation method based on power grid characteristic difference. According to the method, line loss influence integrated factors such as the natural condition, the network structure, the power utilization structure and the power grid operating characteristics of each province or city or county are led in, an original single index only with the line loss rate numerical value size taken into account is changed into an index system which is composed of various indexes affecting line loss, considering the impact of all the indexes on the line loss rate, different weights are set, comprehensive calculation, analysis and evaluation are conducted, so that a scientific index system and evaluation criterion is established, and thus the advancement of the power grid line loss level evaluation method can be guaranteed. According to the line loss level evaluation method based on power grid characteristic difference, the traditional method that the line loss rate size is purely used for evaluating the line loss level before can be broken through, the quantitative evaluation method of the line loss level of a power grid at the same level is provided, the loss reduction potentiality of the power grid is exploited to the maximum degree, and thus the line loss management level of the power grid is improved.

A method, device and computer program product for providing improved control of power or voltage oscillation damping in a power transmission system. The device includes a magnitude obtaining element configured to obtain an instantaneous magnitude of a signal representing a deviating oscillation in at least one element of the power transmission system, a slope investigating element configured to determine the rate of change of the signal, and a first processing block including an integrating element configured to integrate the instantaneous magnitudes with an integrating factor that is based on the determined rate of change. The first processing block is further configured to form a phase compensation angle based on the integrated instantaneous magnitude for use in a damping control signal generating unit in order to provide power or voltage oscillation damping of the system.

The invention discloses a shield segment structure and a shield tunnel. The shield segment structure comprises a plurality of segments, wherein the segments are defined and spliced to form an integral ring; a cross section of the integral ring is a centrosymmetric and axisymmetric special-shaped face; the special-shaped face is formed by defining eight inferior arcs; the eight inferior arcs are a top inverted arch and a bottom inverted arch which are arranged vertically, oppositely and symmetrically, a left arch and a right arch which are arranged horizontally, oppositely and symmetrically, and four corners respectively; the segments are centrosymmetrically distributed on the integral ring; spliced seams, located on the cross section, of the adjacent segments are staggered with maximum internal force parts of the corners, and symmetry axes; a plurality of shield segment structures are butted to form the shield tunnel; and the spliced seams of the segments of the adjacent shield segment structures are arranged in a staggered manner. The shield segment structure and the shield tunnel can well integrate factors such as transverse internal force distribution of the shield tunnel, and connection of the longitudinal segments, so that the shield segment structure and the shield tunnel have good integrity, high efficiency and implementability.

The invention provides a multi-factor two-dimension grey level histogram based threshold segmentation method belonging to the technical field of computer optical measurement. According to the invention, a multi-factor weight integrating image is created, a two-dimension grey level histogram is drawn and cross entropy is used for calculating the threshold value for segmenting the image. First, the weight integrating image based on three factors including neighborhood average gray level, gradient strength and gradient direction level. Further, a gray level image is combined and a gray level-integrated factor level two-dimension gray level histogram is drawn. Then an iteration method is adopted for solving gray level average values of foreground and background pixels. Finally, based on the minimum cross entropy, the optimal threshold value is calculated and the optimal threshold value is used for segmenting the image. The method provided by the invention solves a problem of image key information loss of a prior two-dimension gray level histogram; data accuracy and method reliability are ensured. The credibility of the threshold value and the image segmenting effect are improved. The whole threshold value segmenting algorithm is good in adaptability and high in validity.

A method of calculating far extrapolation of a transient field of electromagnetic scattering through finite difference time domain includes the steps of 1 dividing an area to be calculated into a main field area and a scattering field area according to the connecting boundary; 2 setting an extrapolation boundary in the scattering field area, and extrapolating electric fields and magnetic fields on the extrapolation boundary to obtain a far field; 3 setting transient incident waves, and sequentially updating the electric fields and the magnetic fields at each time step until the electromagnetic field distribution becomes steady; 4 writing the far field into a product of frequency factors and integral factors, and performing inverse Fourier transform on the integral factors to obtain a time domain expression; 5 setting an integral factor far field time domain response array; 6 performing Fourier transform on integral factor far field time domain response to obtain integral factor far field frequency domain response; 7 using far field and incident wave frequency domain response to obtain RCS (Radar Cross Section) changes with frequency. The method of calculating far extrapolation of the transient field of electromagnetic scattering through finite difference time domain writes the far field into the form of the product of the frequency factors and the integral factors due to the fact that the forms of frequency-time transform and time-frequency transform of the integral factors are simple, thereby simplifying the calculation and improving the efficiency.

The invention provides a decoupling control method for a permanent magnet synchronous motor. The method includes the following steps that (1) an open-loop transfer function of a current loop controlled object of a motor model is constructed on a space vector coordinate system according to q-axis and d-axis voltage equations of the permanent magnet synchronous motor; (2) a current motor rotation speed is introduced to be added to a current loop of the motor model so that a complex vector PI regulator with a plurality of zero points can be constructed; (3) an integrating factor of the complex vector PI regulator is set in a complex vector PI control method, so that zero points of a transfer function of the complex vector PI regulator are equal to pole points of the open-loop transfer function of the current loop controlled object in number, and motor coupling influences are eliminated. The decoupling control method has the advantages that the structure with the complex vector PI regulator is adopted so that the complex vector PI regulator generates a plurality of zero points in the same quantity as the pole points of the current loop controlled object, cancellation conditions of zero and pole points are met, the motor coupling influences are effectively eliminated, stability of the motor operating at a high speed is improved and the decoupling control method is especially suitable for the field of electric vehicles.

The invention discloses a flight entry / departure scheduling optimization method and system based on historical data driving. According to the method, first, an objective function and a constraint function of flight entry / departure are proposed, and a function optimization model of flight entry / departure scheduling is established according to the objective function and the constraint function; flight historical operating data corresponding to various conditions are screened out of a database, and an integrated factor kriging agent model of a minimum takeoff time interval, a shortest flight takeoff / landing duration and minimum unit time delay cost is established; and last, according to a current flight entry / departure demand, the integrated factor kriging agent model is utilized to analyze the objective function value and the constraint function value of flight entry / departure, a hybrid optimization strategy is adopted to perform optimal ordering, and an optimal scheduling scheme of a flight is obtained. Therefore, more practical flight takeoff / landing rules and flight delay loss rules are provided, and huge economic losses caused by flight delay to all airlines are reduced to the maximum extent.

The invention discloses a complex network based software structure important module recognition method which comprises the following steps of step 1, determining a target software, and acquiring an intact software source code of the target software; step 2, performing static scanning on the target software source code, and analyzing a relationship between an element entity and an element in the software; step 3, on the basis of the step 2, constructing a software attribute method network and a corresponding granularity software complex network model; and step 4, after obtaining the software complex network model in the step 3, obtaining a set of nodes ordered according to importance measures, and selecting an important module by combining with an actual engineering condition. The inventionprovides a method of recognizing the important module by integrating factors, having influences on the module importance, in four dimensions based on the complex network, the whole measurement analysis process can be realized in background and is established on a full automatic flow, and the maximum reduction of the labor and time costs is ensured.

The present invention discloses a power system emergency material demand prediction method based on multiple regressions. The method comprises the steps consisting of modeling, normalization processing, multiple regression training, verification and the like. The power system emergency material demand prediction method based on multiple regression integrates factors such as local power grid scale, disaster event characteristics (disaster grade and the like), response grade and the like, builds a mathematics model according to the multiple regression method, obtains influence coefficients of emergency material prediction corresponding to each factor through adoption of historical data training, and rapidly calculates the demand for each emergency material after some disaster event happens through adoption of a prediction model to guide relevant departments to store or purchase materials according to the demand, so that it is ensured that the power network emergency maintenance is smoothly performed, and the fund waste caused by excessive storage or purchasing is avoided.

The polyase chain-reaction biochip temperature control method includes: Set up integrating factor, when the error is greater, make the controller reach output saturation in a short time, the temperature rises or drops at full speed, relatively weaker controller saturation degree has guaranteed very fast speed of desaturation. When the error is less, uses ordinary integrating function to dispel the stable state error after the desaturation. Set up suitable factor of proportionality, enter the false integrating saturated condition fast with the auxiliary controller when the error is greater. Use the integrating function to resist the exceed adjusting when the error is less, uses ordinary proportion function to output steadily after the desaturation.

The invention discloses a simplified strategy recommendation method for the digital twinning capacity of an industrial assembly line workshop. The method comprises: determining factors influencing digitization based on three levels of information of elements, data and behaviors of the industrial assembly line workshop; integrating factors to establish a digital twinning ability evaluation system;reflecting consistency level of the entity physical world mapped to the virtual world; and calculating the weight of each system level and the final digital twinning capability by combining an analytic hierarchy process and a multi-objective fuzzy decision analysis method, and giving a simplified strategy recommendation method according to the reduced capability level percentage after the digitization degree of the entity workshop is sequentially reduced. By means of the recommendation strategy simplifying method, the digital twinning capacity level of the workshop can be quantitatively and qualitatively judged in a combined mode, digital factors needing to be improved are clear, and simplified reference suggestions can be provided for the situation that all digital twinning cannot be achieved in the workshop due to limitation of the calculated amount or the storage amount.

The invention provides an application method of a node voltage stability index of a multi-infeed AC / DC system. The node voltage stability index of the multi-infeed AC / DC system provides a comprehensive, integrated and effective quantitative index for the large-disturbance voltage stability degree in a multi-DC drop point region, has the similarities of employing the bus short-circuit capacity as a denominator and considering the influence of a multi-loop DC in comparison with an existing multi-infeed short-circuit ratio index, but also considers the region load influence, the voltage stability effects of various dynamic reactive compensation devices and the like as a comprehensive and integrated large-disturbance voltage stability degree measurement index; and these integrated factors are weighted as molecules according to the dynamic reactive demand condition. The multi-infeed AC / DC system provided by the invention is concise and clear in voltage stability index under the large-disturbance condition and convenient to apply, provides the comprehensive, integrated and effective quantitative index for the large-disturbance voltage stability degree in the multi-DC drop point region, and can provide important reference indexes for power network planning, multi-loop DC access, system stabilizing measures designation and the like.

The invention discloses a silicon substrate vertical trough type nanowire optical modulator which can be applied to the fields such as optical communication, integrated photonics and silicon substrate photonics. The crevice zone and an upper cladding of a vertical trough type nanowire are filled with polymer materials high in electro-optic coefficient and low in refractive index, intrinsic silicon is arranged in the high-refractive index zone, lithium niobate is arranged on two sides and makes direct contact with electrodes, and then the silicon optical modulator is obtained. By the adoption of the optical modulator, the optical power and radio frequency electric field of the crevice zone are made to be maximum, effective area is minimum, optical electrooptical effect is realized, the overlap integrating factor between the optical field and the radio frequency electric field is made to be maximum, radio frequency transmission loss is low, the effective refractive indexes of the optical mode and the radio frequency mode are matched, and then optimal modulation performance is realized.

The invention provides a method, device and computer program product for providing improved control of power or voltage oscillation damping in a power transmission system. The device comprises a magnitude obtaining element (30) configured to obtain an instantaneous magnitude of a signal ( I DeltaP I ) representing a deviating oscillation in at least one element (12) of the power transmission system, a slope investigating element (58) configured to determine the rate of change of the signal, and a first processing block (34) comprising an integrating element (38) configured to integrate the instantaneous magnitudes with an integrating factor (Ki) that is based on the determined rate of change. The first processing block is further configured to form a phase compensation angle (Phic) based on the integrated instantaneous magnitude for use in a damping control signal generating unit in order to provide power or voltage oscillation damping of the system.

The invention provides an output buffer used for an AMOLED column driving circuit. The output buffer comprises a rail-to-rail input stage circuit, a bootstrapping stage circuit and an output stage circuit, wherein the rail-to-rail input stage circuit is connected with the bootstrapping stage circuit, the bootstrapping stage circuit is connected with the output stage circuit, and the rail-to-rail input stage circuit is used for amplifying non-inverting input signals and inverting input signals; the bootstrapping stage circuit is used for boosting a control voltage of the output stage circuit to be higher than a power supply voltage or bucking the control voltage to be lower than a ground voltage; and the output stage circuit is used for driving an output load. The output buffer provided by the invention is used for solving the problem that circuits needs to be further optimized by integrating factors such as area and power consumption when load capacitance of an output buffer in the prior art is further increased.

The invention relates to the field of agricultural fertilization equipment, in particular to a water soluble fertilizer precision fertilization device and fertilization method. The device comprises anelectric control system, a speed regulating system, a feedback sensor and an actuator. Precision fertilization is achieved by a method for regulating the output power of the actuator by real-time feedback and dynamic current regulation. Use of water soluble fertilizers can be precisely controlled, the functions of saving the fertilizers, time and labor are achieved in the water and fertilizer integration process, the system can be rapidly regulated to stably run by constrained parameters including step parameters, differential divisors and integrating factors of the speed regulating system, water soluble fertilizer use precision of the device is improved, and operation is simplified.

The invention discloses a disaster risk early warning method and device, computer equipment and a storage medium. The disaster risk early warning method comprises the following steps: crawling information matched with a preset risk keyword in a webpage corresponding to the preset network address to obtain event information containing a plurality of risk events, merging and recombining the risk events according to the time factors to obtain risk event recombining information; and obtaining a target risk event matched with the risk early warning request in the risk event recombination information, calculating the target risk event according to a preset risk coefficient calculation model to obtain a risk coefficient, and obtaining early warning prompt information corresponding to the risk coefficient and the risk early warning request. Based on the big data processing technology, the disaster risk early warning method can perform early warning on the risk of the risk event at any time, and improves the accuracy of early warning of the risk of the risk event by integrating factors such as geographic position information and time information in the early warning process.

The invention discloses a distribution network rapid reconstruction method taking voltage stability into consideration. The method comprises the following steps: 1, introducing a rapid and convenient voltage stability factor calculation method reflecting the voltage stability, and constructing an integrated factor minimization optimization model comprising network loss and a voltage stability factor; 2, constructing a rapid and non-iterative linear trend calculation method for reducing enormous time consumed for trend calculation, and based on the trend calculation method, calculating elements needed for the optimization model; and 3, introducing and organically combining individual-dependent parameter setting, an individual-dependent mutation strategy and a successful-parent-selecting framework, for improving a differential evolution algorithm, and constructing a differential evolution algorithm with an individual-dependent mechanism and the successful-parent-selecting framework, for solving distribution network rapid reconstruction taking the voltage stability into consideration. According to the invention, change of the network loss and voltage level in reconstruction can be reflected objectively, through parameter adjustment, grid structures with different significance can be obtained, and guidance is provided for actual operation.

The invention discloses a land batch valuation device based on integrated factors. The device comprises a land grade acquisition module, a land meshing module, a correction factor acquisition module and a valuation module. The land grade acquisition module is used for acquiring grade distribution of a regional land to be valuated; the land meshing module is used for a plurality of land meshes; the correction factor acquisition module is used for acquiring N of traffic convenience factor K1, road accessibility factor K2, infrastructure completeness factor K3, available land intensity factor K4 and planed land use factor K5 of the land meshes; the valuation module valuates each mesh according to a formula: Vg=V*(1+Sigma(i=1)Ki*)*II<3>(j=1)Aj+V*N*II<3>(j=1)Aj. The land batch valuation device based on integrated factors has the advantages that computer assisted batch valuation is performed on the land on the basis of integrated factors, valuation efficiency is greatly improved, the valuation method considers complete factors, valuation results are therefore objective, and corruption is partly prevented.

The invention relates to a belt scale weight calibration method equivalent to material calibration, comprising the following steps: S1, testing the integrating factors Ks and Km of a belt scale under material calibration and weight calibration modes respectively; S2, calculating the proportionality coefficient K (K=Ks / Km) of the integrating factors Ks and Km according to Ks and Km; S3, calculating the current material calibration integrating coefficient Kxs (Kxs=K*Kxm) corresponding to the current weight calibration integrating coefficient Kxm according to the integrating coefficient Kxm of the belt scale under the current weight calibration mode and the proportionality coefficient K; and S4, using the current material calibration integrating coefficient Kxs to replace the current weight calibration integrating coefficient Kxm. The determined relationship of the same calibration precision parameter under different calibration modes is found out through research on the equivalence of a belt scale under the same internal and external conditions and different calibration modes and precision, and a calibration mode with low requirement on calibration conditions is used to replace a calibration mode with high requirement on calibration conditions. Convenient, timely, accurate and low-cost calibration is realized.

The invention discloses a method for determining an alternative voltage vector set by equally dividing a flux linkage circle. The method comprises the following steps of: firstly, equally dividing aninscribed circle under a static coordinate system into three equal parts based on DTC prediction control; performing performance comparison on a voltage vector set {V1 V3 V5 V0} or {V2 V4 V6} corresponding to three equal division of the inscribed circle; performing performance comparison on the two voltage vector sets, a basic voltage vector and a traditional switch table; and selecting a voltagevector set with optimal performance by integrating factors such as a cost function and a switching frequency. According to the invention, the selection of the system can be simplified, the operation time is reduced, and the method has certain feasibility.

The invention discloses a spatial sampling method based on a multi-target multi-data type variability model. The method comprises the following steps: a, pre-researching a sample area, and determining the weight of each sampling influencing factor according to an analytic hierarchy process; b, collecting factors influencing sampling layering, drawing a spatial rank distribution diagram of each factor, and acquiring a sample area integrated factor layering diagram according to a GIS (geographic information system) spatial analysis function; c, processing pre-researching data, calculating a variability value of each layer through the variability model, and replacing variance parameters in a sandwiched spatial sampling method with the variability values to obtain a spatial sampling scheme based on the multi-target multi-data type variability model.

The invention discloses an academic growth curve testing method and system. The academic growth curve testing method comprises the steps of determining an academic growth curve testing period; obtaining related information of scoring factors of each student in the test period, wherein the related information of the scoring factors comprises daily scores, examination scores, expansion activity scores, communication ability scores and examination tendency scores of the students; and calculating scores of the students in the test period according to the weight coefficients of the scoring factors,and fitting an academic growth curve according to the scores of the test periods. According to the invention, comprehensive growth testing is carried out on students by integrating factors of the students in all aspects.

The invention provides an analysis method for identifying water type of formation water and / or surface water. The method comprises the following steps of sampling a water sample; detecting the ion mineralizing degrees (SCi, unit: mg / L) of Na<+>, K<+>, Mg<2+>, Ca<2+>, Cl<->, SO4<2->, HCO3<-> and CO3<2-> in the water sample, and quantity of ion chemical structural formulas (the number is equivalent to the relative atom mass of the ions); according to the obtained ion mineralizing degrees (SCi) of Na<+>, K<+>, Mg<2+>, Ca<2+>, Cl<->, SO4<2->, HCO3<-> and CO3<2-> in the water sample, and corresponding atom mass of the ions (Mi), calculating the atom millimole concentration, ion unit charge millimole concentration, ion unit charge millimole fraction, ion unit charge millimole concentration ratio, integrated factor coefficient and integrated judging coefficient related to the ion content, judging the water type of the water sample. The method has the advantages that the water type of formation water and surface water can be objectively determined, the method is especially suitable for determining the water type of formation water and surface water in the hydrocarbon reservoir rock porosity, and a new way is provided for acknowledging and studying the features of the formation water of the oil and gas reservoir layer.

The invention provides an electro-optical modulator. The electro-optical modulator comprises a substrate, a pair of optical waveguides, a pair of first electrodes and a pair of second electrodes, wherein the optical waveguides are formed in the mode of inward diffusion from a first surface of the substrate and are parallel to each other, the first electrodes are arranged on the first surface, align to the optical waveguides in position, and are matched with the optical waveguides in shape, and the second electrodes are arranged on the two sides of the first electrodes, and are parallel to the first electrodes. According to the arrangement, the electro-optical overlap integrating factor between an inter-electrode electric field between the first electrodes and the second electrodes and an optical field of lasers transmitted by the optical waveguides can be the maximum, and the situation that the electric field can cover the whole optical field can be achieved. Half-wave voltage needed by modulation is in inverse proportion to the electro-optical overlap integrating factor. Therefore, according to the arrangement, the half-wave voltage needed by the modulation can be reduced to be the minimum, and power consumption can be reduced.

The invention relates to a line loss level evaluation method based on power grid characteristic difference. According to the method, line loss influence integrated factors such as the natural condition, the network structure, the power utilization structure and the power grid operating characteristics of each province or city or county are led in, an original single index only with the line loss rate numerical value size taken into account is changed into an index system which is composed of various indexes affecting line loss, considering the impact of all the indexes on the line loss rate, different weights are set, comprehensive calculation, analysis and evaluation are conducted, so that a scientific index system and evaluation criterion is established, and thus the advancement of the power grid line loss level evaluation method can be guaranteed. According to the line loss level evaluation method based on power grid characteristic difference, the traditional method that the line loss rate size is purely used for evaluating the line loss level before can be broken through, the quantitative evaluation method of the line loss level of a power grid at the same level is provided, the loss reduction potentiality of the power grid is exploited to the maximum degree, and thus the line loss management level of the power grid is improved.

The invention relates to a belt scale weight calibration method equivalent to material calibration, comprising the following steps: S1, testing the integrating factors Ks and Km of a belt scale under material calibration and weight calibration modes respectively; S2, calculating the proportionality coefficient K (K=Ks / Km) of the integrating factors Ks and Km according to Ks and Km; S3, calculating the current material calibration integrating coefficient Kxs (Kxs=K*Kxm) corresponding to the current weight calibration integrating coefficient Kxm according to the integrating coefficient Kxm of the belt scale under the current weight calibration mode and the proportionality coefficient K; and S4, using the current material calibration integrating coefficient Kxs to replace the current weight calibration integrating coefficient Kxm. The determined relationship of the same calibration precision parameter under different calibration modes is found out through research on the equivalence of a belt scale under the same internal and external conditions and different calibration modes and precision, and a calibration mode with low requirement on calibration conditions is used to replace a calibration mode with high requirement on calibration conditions. Convenient, timely, accurate and low-cost calibration is realized.