45results about How to "Solution implementation" patented technology

The invention discloses a non-steady flow simulating method for a pipe network system. The invention provides the non-steady flow simulating method which solves a non-steady flow by combining an obvious format and a hidden format and is suitable for complex pipe network systems. The method is based on a chasing method, three methods of a basic solution, a local iteration solution and a layered solution are provided for meeting the arraying modes of different pipe network systems and the dividing features of obvious and hidden format pipelines, and the hidden pipe network matrix equitation is solved by adopting a simple method. The non-steady flow simulating method for the pipe network system is suitable for the pressure pipeline systems and pressure-free drainage systems in large-scale river network non-steady flows in the transition process of a hydropower station as well as the non-steady flow simulation of an obvious full mixed flow system, and the non-steady flow simulating precision can be improved.

The invention relates to a linear real-time estimation method of a conductivity resistance-capacitance network parameter, belonging to the technical field of solution conductivity soft measurement. The method is characterized by comprising the following steps of: converting the measurement of solution conductivity into the parameter estimation of an equivalent resistance-capacitance network: on the basis of a mathematical model between a square wave excitation signal, a response direct-current voltage signal and two resistance and capacitance parameters of the equivalent resistance-capacitance network, carrying out multi-element polynomial fitting on the non-linear model off line; adopting an alternating-current square wave excitation resistance-capacitance network of various frequencies by taking the existence of various uncertainties into account during on-line measurement; meanwhile, establishing an over-determined equation set by utilizing the off line fitted multi-element polynomial model; and obtaining the real-time estimation of a resistance-capacitance parameter through a Gauss elimination finite step arithmetic operation and a radical operation of quartic equation solving on the basis of linear least square principle. The method has the advantages of higher estimation speed and stronger anti-jamming capability and is suitable for the on-line real-time accurate measurement of the conductivity industry.

The invention relates to a heterogeneous parallel computing method for updating sparse matrix LU decomposition rows. Based on the superlu algorithm, combined with the master-slave heterogeneity of Taihu Lake Light, the superlu solver transfers the large-scale computing task to the slave kernel in the process of matrix decomposition and row updating, and utilizes the efficient computing and data communication ability of the slave kernel to improve the computational ability of the super-large-scale sparse matrix and the overall performance of the solution. The invention divides tasks according to the data of the matrix, Firstly, a matrix space is created for each slave kernel, and each slave kernel is responsible for solving several matrix rows. In the process of solving the linear equationsof the lower triangular identity matrix type, each row of data is independent of each other, avoiding the conflict and dependence of the solution space, and smoothly realizing the solution of the equations.

The invention discloses a phase aliasing error removing method and device based on an end-to-end convolutional neural network. The method solves the problems that in the process of solving a single interferogram through a Fourier transform method or a digital Moire phase shift method, the phase spectrum aliasing caused by improper carrier addition or overlarge surface shape error phase spectrum bandwidth exists. The phase spectrum aliasing error can be eliminated, the solution of the wide spectrum phase interferogram is realized, and the measurement range of the single interferogram phase unscrambling method is expanded. The method comprises the following steps: (1) designing a multi-scale convolutional neural network; (2) simulating a wide-spectrum phase interferogram, solving a phase diagram containing a phase spectrum aliasing error based on a Fourier transform method or a digital Moire phase shift method, and taking the phase diagram containing the phase spectrum aliasing error andan original wide-spectrum phase diagram as an aliasing training set; (3) training a multi-scale convolutional neural network by using the aliasing training set; and (4) processing a real phase diagram containing the phase spectrum aliasing error by using the trained multi-scale convolutional neural network to obtain a high-precision phase solution result without the phase spectrum aliasing error.

The invention discloses an electricity-gas joint market centralized clearing method based on sequential linear programming. The method comprises steps of taking minimum total cost of all-day electricenergy and natural gas as a target; considering constraint conditions of a power system, constraint conditions of a natural gas system and coupling constraints of the power system and the natural gassystem, and performing first-order Taylor expansion on the steady-state gas flow equation and the nonlinear pipe storage equation of the gas pipeline to obtain a centralized clearing sequential linearprogramming model of the electricity-gas joint market; solving the sequence linear programming model to obtain a day-ahead scheduling scheme of the electricity-gas joint market, and calculating nodemarginal electricity price and node marginal gas price. According to the method, the influence of complex operation characteristics of natural gas systems such as nonlinear pipe storage on centralizedclearing of the electricity-gas joint market is considered, and optimal scheduling and market clearing of the electricity-gas interconnection system on the day-ahead level are achieved.

The invention relates to a linear real-time estimation method of a conductivity resistance-capacitance network parameter, belonging to the technical field of solution conductivity soft measurement. The method is characterized by comprising the following steps of: converting the measurement of solution conductivity into the parameter estimation of an equivalent resistance-capacitance network: on the basis of a mathematical model between a square wave excitation signal, a response direct-current voltage signal and two resistance and capacitance parameters of the equivalent resistance-capacitance network, carrying out multi-element polynomial fitting on the non-linear model off line; adopting an alternating-current square wave excitation resistance-capacitance network of various frequencies by taking the existence of various uncertainties into account during on-line measurement; meanwhile, establishing an over-determined equation set by utilizing the off line fitted multi-element polynomial model; and obtaining the real-time estimation of a resistance-capacitance parameter through a Gauss elimination finite step arithmetic operation and a radical operation of quartic equation solvingon the basis of linear least square principle. The method has the advantages of higher estimation speed and stronger anti-jamming capability and is suitable for the on-line real-time accurate measurement of the conductivity industry.

The invention discloses a method for analyzing the water-entry cavity characteristic of a navigation body and belongs to the field of fluid mechanical engineering. The method comprises a step of performing meshing and boundary condition setting on a whole drainage basin formed by water and air domains and applying a boundary data immersion method and a volume fraction method to an N-S equation, astep of realizing the simulation of an immersed object in multi-phase flow by introducing the boundary data immersion method, a step of realizing the tracking of a fluid interface by introducing the volume fraction method, and a step of solving the speed and pressure of the drainage basin by using a two-step projection method. According to the invention, the cavity flow numerical simulation of thewater-entry navigation body can be achieved to reveal the water-entry cavity flow law and mechanism of the navigation body, therefore, a theoretical basis is provided for the structural design of thewater-entry navigation body, the practical application engineering problem of the water-entry navigation body can be solved, and the method has the advantages of high design efficiency, short designperiod and the facilitation of practical application.

The invention provides a method and a device for solving a disassembling path of a product pipe piece, belonging to the mechanical engineering field. The method for solving the disassembling path of the product pipe piece comprises the following steps of: setting an initial disassembling pose and an end disassembling pose of the product pipe piece to be disassembled; solving the path from the initial disassembling pose to the end disassembling pose to obtain a first path; and optimizing the first path to obtain the disassembling path of the product pipe piece. The technical scheme of the invention can solve the disassembling path of the product pipe piece in complex products, thereby improving the solving efficiency of the product disassembling path.

The invention discloses a prediction method for a temperature field in an electromagnetic induction heating process of a steel plate. The prediction method comprises the following steps: acquiring data in the induction heating process of the steel plate; calculating the skin depth; calculating a heat exchange coefficient in the heating process; obtaining an internal heat source model of induction heating; calculating shape function N, B matrixes and a Jacobian matrix of a quadrilateral isoperimetric element by utilizing a basic finite element principle; and solving a linear equation set by adopting a one-dimensional variant-banded storage method to obtain the transient temperature field in the electromagnetic induction heating process of the steel plate. According to the prediction method, the internal heat source model is introduced in the transient temperature field to solve the linear equation set under the condition of improving the calculation efficiency, so that the transient temperature field in the electromagnetic induction heating process can be solved. The prediction method is suitable for solving the temperature field in the electromagnetic induction heating process of the steel plate by a finite element method.

The invention discloses an activated sludge model and solving method used for nitrification stage steady state solution. The method comprises the following steps: (1) carrying out reasonable reduction on an ASM3 (Activated Sludge Model 3) model, and constructing the chemometrics model and the process rate equation of the ASM3 model; (2) coupling an oxidation process of NO2<-> with a growth attenuation process of NOB (Nitrite Oxidizing Bacteria), and constructing the chemometrics model and the process rate equation of the ASM3 model by using the ASM3 model as a reference; and (3) according to the model, constructing the mass balance equation of each component according to the model, utilizing MATLAB mathematical software to obtain the analytical solution of each component, and substituting each class of parameters and working conditions, and finally, determining the concentration of each component in the model. The method can be used for the nitrification stage steady state solution, and also can be used for determining an initial value during dynamic simulation. Therefore, the activated sludge model constructed by the method is high in practicality.

The invention provides a camera parameter calibration method based on a self-matching polar triangle. The camera parameter calibration method mainly comprises the steps of calibration plate design andestablishment of a camera projection model, solving of internal parameters and external parameters of a camera in linear initialization, establishment of a distortion model and a cost function in nonlinear optimization and an iteration method of an optimal solution. According to the method, the internal parameters and the external parameters of the camera can be solved more flexibly and more robustly.

The invention discloses a pollutant convection diffusion equation high-performance numerical solution method based on multiple GPUs, and the method mainly comprises the steps of carrying out the initialization assignment of all calculation variables through two GPUs; dividing a calculation unit of the research area into an upper part and a lower part; filling a row of data at the boundary of each of the upper and lower calculation areas; distributing the calculation tasks averagely to the corresponding GPUs for batch calculation; calculating flux values in different directions and pollutant concentration values at different moments on the double GPUs by adopting a finite difference method discrete equation; after the first cycle calculation is completed, writing result data of the boundary part in the GPU into a memory for standby application, and copying the result data to the two GPUs to be subjected to data filling and cycle calculation until the end of the next iteration; and outputting a pollutant convection diffusion change result graph at each moment. According to the invention, the pollutant convective diffusion equation is solved by adopting a multi-GPU calculation method, and the calculation efficiency is higher than that of an existing convective diffusion equation solving method adopting a CPU and a single GPU.

The invention relates to the technical field of robot control, in particular to a bias mechanical arm joint angle value inverse solution calculating method and device and calculating equipment. The method comprises the steps that the tail end position matrix T and arm angle phi of a mechanical arm are obtained; a space circle equation corresponding to an elbow joint of the mechanical arm is determined; according to the space circle equation, the arm angle phi and the tail end position matrix T, the angle values of a front position joint, a front end secondary joint and the elbow joint are obtained through solution; and according to the angle values of the front position joint, the front end secondary joint and the elbow joint, by means of the tail end position matrix T, the angle value ofa rear end joint of the mechanical arm is obtained through solution. The experimental result shows that the angle values, obtained through the inverse solution method of the technical scheme, of the joints of the mechanical arm are consistent with preset experimental data, and thus, through the technical scheme, the angle values of the bias mechanical arm joints can be calculated through inverse solution.

The invention discloses a fluid finite element-based large-deformation elastomer product static stiffness calculation method. The method comprises the steps that a fluid model is built according to anoverall area obtained before and after an elastomer material of a target product deforms; the fluid model is subjected to fluid mesh generation, and parameters of the built model are given to the elastomer material in fluid units; on the basis, an initial distribution area when the elastomer material does not deform is obtained through partitioning, wherein the initial area is set to be the areawhere the elastomer material is distributed, and the other remaining area is set to be the area where the elastomer material is not distributed; after a model of the elastomer part of the product is built by means of fluid finite elements, the other part of the product is modeled according to a classical continuous solid mechanic finite element technology through the steps of contact setting, boundary condition setting and load setting, and then model building of the overall product is completed; and the displacement and the related constraint reaction of the product are calculated and jointlysolved, and then the static stiffness of the target product can be obtained. According to the method, the static stiffness of the elastomer product can be solved under any large elastomer deformationoperating condition.

The invention discloses a method for solving a three-dimensional similarity transformation parameter of a model based on a fitting plane normal vector direction. The method comprises the following steps: firstly, selecting N (N is greater than or equal to 3) pairs of corresponding points in a three-dimensional model and a real model as directional reference points, completing the coordinate centralization of the directional reference points under each model, solving the coordinates of the directional reference points after coordinate centralization, and further calculating a zoom factor lambda between the three-dimensional model and the real model; then obtaining optimal fitting planes of the directional reference points in the three-dimensional model and the real model by using an overall least square method, and performing further calculation so as to obtain the normal vectors of the two optimal fitting planes; finally calculating a three-dimensional rotary matrix R between the three-dimensional model and the real model, and calculating the translation vector t of similarity transformation. The method disclosed by the invention can realize the direct solution of the three-dimensional rotary parameters between the models without providing an initial value in advance, so that the dependence on the initial values of the parameters is reduced, and the method is suitable for the solution of three-dimensional similarity transformation parameters under various rotary conditions.

The invention discloses an electric vehicle orderly charging optimization scheduling method based on a Logic-Benders decomposition algorithm. The method comprises the following specific steps of firstly, constructing an electric vehicle charging mode selection main model based on mixed integer linear programming; secondly, based on constraint planning, constructing an electric vehicle charging time sequence optimization sub-model; and finally, carrying out iterative solution on the main sub-model by adopting a Logic-Benders decomposition algorithm. The method is advantaged in that on the premise of ensuring the charging demand of the user, the optimal economy of the electric vehicle charging scheduling system is realized through selection of the charging mode of the electric vehicle and optimization of the charging time sequence.

The present invention relates to a safety mechanism of front fork lock which includes safety cavity body, safety block, button, reduction spring and lock ring. The lock ring which has square groove is inserted inner the safety cavity body, the safety block which combines with the button through the inclined plane sets in the safety cavity body, the back-end of the safety block top press on the wall of the safety cavity body through reduction spring, the front-end and the square groove combine with each other, and there is spring orientation hole inner the safety block. This invention overcomes the disadvantage that there is no locking safety mechanism of the common anterior fork lock of the existing technology during the traveling process of the two-wheels vehicle and the lock ring is easy to break off under vibration. By means the above mentioned design, this invention implements the locking safety, also solve the disadvantage that the fussy of the key to implement or release the locking in traditional method, it has advantage of simple structure, and use convenience, and safety locking safety and trustiness.

The invention provides a low-cost high-strength-toughness magnesium alloy aging strengthening and toughening method. The low-cost high-strength-toughness magnesium alloy aging strengthening and toughening method comprises the steps of conducting primary aging treatment, die pressing treatment, secondary aging treatment and cooling treatment on a magnesium alloy component in sequence, wherein the magnesium alloy component comprises, by mass, 5.5-6.5% of Zn, 0.7-1.4% of Y, 0.2-1.0% of Nd, 0.2-1.0% of La, 0.5-0.8% of Zr or Mn, and the balance Mg and inevitable impurities, and the sum total of themass percentage of rare earth elements Y, Nd and La among components is not more than 2.5% of the total mass fraction; and controlling the mold temperature to be indoor temperature in the die pressing treatment process. Through the low-cost high-strength-toughness magnesium alloy aging strengthening and toughening method, while the high strength of the magnesium alloy component is ensured, the magnesium alloy component can have the enough toughness, and the problem that the strength is improved and the toughness is substantially reduced through the traditional heat treatment process is solved. The low-cost high-strength-toughness magnesium alloy aging strengthening and toughening method is simple in operation, easy to implement and suitable for large-scale industrialized production.

The invention discloses a rigidity matrix calculation method for point source seismic response for seismic prediction, and the method comprises the steps: supposing that a point source dislocation layer is fixed, and solving a dynamic response and a fixed end face counterforce in the dislocation source layer; reversely applying counter-force of the fixed end face to the layered half space to obtain dynamic response of the fixed end face; superposing the dynamic response in the dislocation source layer and the dynamic response of the fixed end surface to obtain a total dynamic response; and combining the total dynamic response with a seismic source time function, carrying out Fourier-Hankel inverse transformation, and obtaining a seismic map of three components in a time-space domain. The method is a semi-analytical method based on combination of an accurate dynamic stiffness matrix and integral transformation, and has the advantages that the precision is not limited by the layer thickness, and error accumulation does not exist.

The invention discloses a multi-agent-based multi-agent joint optimization operation method for an integrated energy system. The method comprises the steps: constructing a structure agent model and a benefit agent model of the integrated energy system, and constructing a behavior strategy and a communication strategy which comprise data uploading, data obtaining, data storage and data processing for each agent model; a joint iterative negotiation optimization strategy of a pricing strategy, a capacity strategy, an energy storage strategy and an energy utilization strategy among an integrated energy system operation manager agent, an integrated energy system energy manufacturer agent, an integrated energy system energy storage agent and an integrated energy system multi-energy user agent is constructed; and finally, solving the multi-agent-based multi-agent joint optimization operation problem of the integrated energy system through a multi-agent analog simulation function provided by the JADE software platform. According to the method, quick interaction of optimization information among multiple interest subjects in the integrated energy system can be realized, so that distributed solution of a multi-subject joint optimization problem of the integrated energy system is effectively realized.

The invention discloses a surface tension measuring device and measuring method for a droplet on a vertical plate. The device comprises a light source, a glass plate, a linear array CCD and a computer, the light source is used for generating a horizontal light beam, the glass plate is arranged on an optical path as the vertical plate, a to-be-measured droplet is arranged on the surface of one side, close to the light source, of the glass plate, the to-be-measured droplet is penetrated by the light beam, the linear array CCD and the light source are respectively arranged at two sides of the glass plate, the linear array CCD and the light source are arranged in a corresponding manner, and the diffraction light intensity distribution after transmission of the to-be-measured droplet by the light beam is acquired through the linear array CCD and transmitted to the computer. According to the device and method, the to-be-measured droplet is arranged on the vertical glass plate, diffraction signals of the light beam are acquired and analyzed so that a liquid surface tension coefficient is obtained, a to-be-measured sample is only the droplet, the sampling of the to-be-measured droplet is small, the equipment is simple, and the operation is convenient.

The invention provides a molten slag surface tension prediction method based on melt structure analysis. The molten slag surface tension prediction method comprises the steps of: S1, obtaining the oxygen bond type and the oxygen bond mole fraction of to-be-detected molten slag; and S2, inputting the oxygen bond type and the oxygen bond mole fraction into a pre-trained molten slag surface tension prediction model, and solving the molten slag surface tension prediction model to obtain a predicted value of the surface tension of the to-be-detected molten slag, wherein the molten slag surface tension prediction model comprises a molten slag surface tension prediction equation constructed by considering the formation mechanism of the surface tension of the oxide melt and combining the oxygen bond type and the oxygen bond molar fraction of the molten slag according to thermodynamic equilibrium and the Gibbs free energy theory. The prediction precision and stability of the slag surface tension are improved.

The invention discloses a centralized online planning method for a satellite observation network. The method includes: step 1) when the satellite observation network does not observe the target, use the celestial coverage of the satellite observation network; calculate the initial optimization objective function Numerical value; step 2) using the initial optimized objective function value to construct an alternative observation plan set; step 3) calculating the time coverage of each satellite in the current available satellite set to the current target; for the satellites in the currently available satellite set according to Arrange in descending order of time coverage; step 4) according to the sorting results, carry out binary tree pruning optimization to the satellites in the current available satellite collection, calculate the time coverage of each candidate satellite combination and the optimization objective function value of the comprehensive observation performance index; comprehensive observation The performance index comprehensively considers the time coverage and the celestial sphere coverage; step 5) select the satellite combination with the largest value of the optimized objective function as the satellite to perform the observation task of the target.

The invention discloses a full characteristic spectrum tracking method for a time delay power system based on an optimization procedure. The method comprises the following steps of: tracking a full characteristic spectrum locus of the time delay power system according to the prediction-correction thought, gradually increasing time delay of the system from zero time delay, performing prediction by using the calculation results of the front two steps, and correcting the prediction result by solving an optimization model to realize solution of all characteristic spectrum loci of the time delay system. The invention provides the method capable of tracking the time delay change loci of complete characteristic spectrums of the time delay system for the first time, and analysis of complex dynamic behaviors of the time delay system is realized by accurately solving the full characteristic spectrum loci of the time delay system. The method can be used for researching the change rule of the characteristic value of the time delay system, and can also be used for scientifically assessing the control effect of a closed-loop controller for the time delay system.

The invention discloses a construction and solving method of an elastic and viscous plastic material fractal constitutive model, basic mechanical element modules are combined and connected to form a primitive module, the primitive module is utilized to iterate the basic mechanical element modules on the basis of the primitive module to obtain a fractal element constitutive model, and in the iteration process, the parameter of each basic mechanical element module in the first iteration newly-added part is a preset multiple of the parameter of each basic mechanical element module in the element module; and starting from the second iteration, the parameter of each basic mechanical element module in the newly added part of the next iteration is a preset multiple of the parameter of each basic mechanical element module in the newly added part of the previous iteration. The model constructed by the invention not only can well describe the elastic, viscoplastic and plastic mechanical properties of the material, but also can well describe the very complicated actual physical structure of the material in the microscopic aspect; in addition, the complexity of the fractal constitutive model can be expressed, the number of parameters can not be increased, and solving of the constructed fractal constitutive model can be well achieved.

The invention relates to a heterogeneous parallel computing method for row update of sparse matrix LU decomposition. Based on the superlu algorithm and combined with the master-slave heterogeneous characteristics of TaihuLight, the present invention enables the superlu solver to transfer large-scale computing tasks to the slave core during the matrix decomposition stage and update the row, and utilize the slave core group Efficient computing and data communication capabilities, improve the computing power of solving ultra-large-scale sparse matrix, and further improve the overall performance of the solution. The present invention carries out the mode of task division according to the data of matrix, divides matrix data block by row, at first opens up a matrix space for each slave core, each slave core is responsible for the solution of several matrix rows, in seeking lower triangular identity matrix In the process of linear equations of this type, each line of data is independent of each other, avoiding conflicts and dependencies in the solution space, and successfully solving the equations.

The present invention provides a method for predicting the surface tension of molten slag based on melt structure analysis, comprising: S1, obtaining the oxygen bond type and oxygen bond mole fraction of the molten slag to be tested; S2, inputting the oxygen bond type and oxygen bond mole fraction in advance The trained slag surface tension prediction model, and solve the slag surface tension prediction model to obtain the predicted value of the slag surface tension to be measured; the slag surface tension prediction model includes the thermodynamic balance and Gibbs free energy theory, considering The formation mechanism of the surface tension of oxide melt, and the prediction equation of the surface tension of slag constructed by combining the oxygen bond type and the oxygen bond mole fraction of the slag. Improve the prediction accuracy and stability of slag surface tension.

The invention provides a permanent magnet motor electrical parameter identification method, which comprises the following steps: S1, establishing a d-axis and q-axis current state equation taking resistance and inductance as inaccurate factors according to a voltage equation of a permanent magnet motor; s2, establishing a d-axis and q-axis centralized disturbance model, establishing a d-axis and q-axis expansion state observer, and obtaining observation values of unknown disturbance of d-axis and q-axis; obtaining an identification result of unknown disturbance; s3, obtaining a first identification equation of stator resistance and d-axis and q-axis inductance; s4, compensating the first identification result to obtain a second identification result; and S5, filtering the second identification result. The difference of dynamic characteristics of different electrical parameters is considered through the steps, modeling is carried out on the problem that the electrical parameters are inaccurate, and equation solving is achieved through time division multiplexing of an identification equation. Meanwhile, because the non-linear problem of the inverter can obviously influence the identification precision of the electrical parameters, the method also carries out compensation calculation on the identification result, so as to improve the identification precision of the electrical parameters.

The invention provides a method and a device for solving a disassembling path of a product pipe piece, belonging to the mechanical engineering field. The method for solving the disassembling path of the product pipe piece comprises the following steps of: setting an initial disassembling pose and an end disassembling pose of the product pipe piece to be disassembled; solving the path from the initial disassembling pose to the end disassembling pose to obtain a first path; and optimizing the first path to obtain the disassembling path of the product pipe piece. The technical scheme of the invention can solve the disassembling path of the product pipe piece in complex products, thereby improving the solving efficiency of the product disassembling path.