60results about How to "Reduce the number of variables" patented technology

The invention provides an anti-pinch control method for a vehicle open-close body. In method, a self-study initializing step of the open-close body is finished first and then the anti-pinch control of the open-close body is realized. The anti-pinch control method comprises the following steps of: judging the area where the open-close body is positioned by acquiring a current position signal of the open-close body; acquiring a rotating speed value n and a voltage value U of a current motor, and obtaining the current load torque value T of the motor according to the formula 3:n=aU-kT-A; comparing an anti-pinch torque threshold Tp and the load torque value; if the T is greater than the Tp, controlling the motor to rotate reversely according to the judgment results of the area where the open-close body is positioned currently and the stroke position of the area; and otherwise, continuing to perform the current operation. In the anti-pinch method, the error of anti-pinch force is only related to the rotating speed droop constant of an actual motor, so that the effect of reducing variable number to reduce the error is achieved; the requirement on motor consistency is low; and the control cost is reduced.

The invention discloses a power plant level automatic power generation control system applied load optimizing and distributing method. The method is carried out through the following steps: pre-classifying a plurality of sub-clusters of generator sets according the properties of the generator sets of the power plant; optimizing and distributing load to the plurality of sub-clusters of generator sets according to the principle of using the least amount of coals; attaining the best load state space of each generator set in each sub-cluster of the generator sets within an allowed load and storing best load state space in a database of a system; performing load distribution according to a speed regulation priority method or a coal consumption optimizing method so as to check the best load state space of the sub-clusters of generator sets and attaining the best load of all generator sets in the power plant with the attained best load of all machines transmitted to an automatic control system through a monitoring apparatus of a plant level AGC system. The invention further provides a system corresponding the method. According to the invention, the method is capable of effectively shortening the calculation and distribution time for load when a power plant comprises a great number of generator sets with vast type difference so as to fulfill the requirement of safety control to a power grid and to improve the authenticity and the accuracy of an optimization result.

The invention discloses a method for optimizing the project duration of an engineering project based on potential anti-key working procedures in the technical field of engineering project duration control technologies. The method comprises the following steps: identifying potential anti-key working procedures in an engineering project based on certain technical characteristics; dividing all working procedures of the project into a potential anti-key working procedure set X and a non-potential anti-key working procedure set Y; coding the execution modes of all the working procedures in the potential anti-key working procedure set X to generate an initial group of which the size is NP, and adopting a mode of fastest execution for all the working procedures in the non-potential anti-key working procedure set Y; calculating the total duration value corresponding to each single body in the group and converting the reciprocal of the total duration value into the adaptation value of the single body; adjusting the start time of non-key working procedures; selecting a parent, and producing a child by a single-point crossover operator and a single-point mutation operator; combining the parent and the child to form a new group; and if the maximum genetic algebra is obtained, stopping calculation and outputting an optimal solution, thus obtaining the optimal duration scheme of the project.

A method and device for measuring a trace metal ion concentration are provided. The method includes S1) according to absorbance in a full waveband of a solution including a trace metal ion, acquiring an optimum wavelength zone in the full waveband by utilizing a root mean square error of prediction; and S2) acquiring an effective wavelength point for measuring the concentration of the trace metal ion in the optimum wavelength zone through a correlation coefficient process. Through adoption of an interval-correlation coefficient partial least squares process, sensitive zones of high-concentration matrix ions and a blank information zone are rapidly and efficiently removed, wavelength points which are high in nonlinearity, low in information quantity and masked by matrix ions are rejected, complete usable information of the trace ion to be detected is maintained to the utmost, interferences of the high-concentration matrix ions on the trace ion to be detected are reduced, sensitivity of the trace ion to be detected is maintained, the number of variables is reduced, and precision and real-time performance of a model are improved.

The invention relates to the technical field of wind power dissipation, in particular to a unit combination method considering deep peak load regulation of a thermal power unit under the condition ofgrid connection of wind power, in particular to a method for improving peak load regulation capacity of the thermal power unit under the condition of grid connection of wind power. Including: unit commitment algorithm; Objective function of unit commitment; Constraints of unit commitment; Solution of unit commitment; Operation Flow of Unit Commitment. Under the condition of large-scale wind powergrid connection, the invention considers that a certain reserve is reserved for the wind farm to balance the change of the wind power output. When the load is low, the conventional power plant unit has been adjusted to a lower output, if the wind farm output increases significantly at this time, the acceptance of wind power will be limited, resulting in wind power discarding limit. Genetic algorithm is used to find the global optimal solution, and the economy of deep peak shaving scheme is analyzed under the condition of large-scale wind power grid. Solve the problem of not abandoning the windabsorption, save the thermal power unit power generation cost, so that 'deep regulation absorption' is feasible.

The invention discloses a dynamic response analyzing method of an aggregation type tensegrity structure based on a sliding rope unit of a multi-body system. The method comprises the following steps that firstly, a traditional tensegrity structure system is transformed into the multi-body system; secondly, based on a traditional rope unit of the multi-body system, the sliding rope unit of the multi-body system is built; thirdly, a multi-body dynamical system equivalence model of the aggregation type tensegrity structure is built by using the sliding rope unit in the second step; fourthly, a differential algebra equation set of multi-body dynamics is solved so as to get the dynamic response of the aggregation type tensegrity structure. In the dynamic response analyzing method, a new strategyof statics and dynamics analysis of the aggregation type tensegrity structure is provided. Compared with an existing non-linear finite element method, the multi-body dynamics modeling analysis is adopted, the modeling process is simple and universal, the operation is simple, and the modeling process is more suitable for the objective physical motion properties of the tensegrity structure system.

The invention discloses a method for adopting a quantitative structure-activity relation model to predict a reaction rate constant of chlorine free radical of organic chemicals. According to the method, a quantum chemistry descriptor with structural characters is figured out only by means of basic molecular structure information of the organic chemicals, and by adopting a constructed QSAR prediction model, a kCl value of the organic chemicals can be predicted quickly and efficiently. The method follows a guide rule issued for the construction and verification of a QSAR model by the Organization For Economic Co-Operation And Development (OECD). According to the method, by adopting a genetic algorithm-multiple linear stepwise regression analysis combination use method (GA-MLR) and a supportvector machine-multiple linear stepwise regression analysis combination use method (SVM-MLR), the transparency degree is high and more convenience is provided for application; since quantum chemistrydescriptors are adopted in all GA-MLR models, the physical meaning of the descriptors is clear; the method has a specific application domain, and is applicable to abundant organic varieties, excellentin goodness of fit, robustness and prediction capability, easy to program and capable of supplying important data support to environmental risk evaluation and management of the organic chemicals.

The invention relates to a mask optimization method of a photoetching machine. According to the method, mask information expressed based on a pixel is converted to a frequency domain through discrete cosine transform, a low-frequency part is cut to be taken as an optimization variable and coded into particles, the sum of squared difference of each point between an ideal graph and a photoresist image corresponding to the current mask is taken as an evaluation function, and a mask graph is optimized by a particle swarm optimization algorithm. With the optimization method, the imaging quality of a photoetching system can be effectively improved, the optimization method has the advantages of simplicity in principle and relatively fast convergence speed, and is easy to implement, and the manufacturability of the optimized mask is high.

The invention provides a multi-algorithm fusion-based missing value interpolation method. The method comprises the following steps of: S1, carrying out hierarchical clustering on all the pieces of data; S2, judging whether classes with missing values are records with missing values or not, and dividing the records into a missing data group and a complete data group; S3, randomly dividing data in the complete data group into a training set and a test set, and predicting the test set by using n existing interpolation methods so as to construct a certain quantity of sample sets; S4, interpolatingthe classes with missing values by using a neural network model so as to obtain a final interpolation value; S6, judging whether classes with missing values still exist or not, if the judging resultis positive, executing the step S2, and otherwise, executing step S7; and S7, ending the operation. According to the method, missing values are obtained by using a plurality of existing methods, so that the defects of artificially and subjectively selecting missing value interpolation methods are solved and the missing values can be interpolated objectively and effectively.

The invention discloses a wind speed prediction method combining a shared weight long short-term memory network (SWLSTM) with Gaussian process regression (GPR). The method mainly comprises the following steps of: simplifying the structure of a standard long short-term memory network (LSTM) by adopting a shared weight; using an Adam optimization algorithm combined with a mini-batch mechanism to train SWLSTM to acquire a wind speed point prediction result with high accuracy; using the point prediction result obtained by the SWLSTM as the input of the GPR, and performing secondary prediction to obtain a wind speed probability prediction result; and selecting a confidence coefficient, and obtaining a wind speed interval prediction result under the corresponding confidence coefficient through Gaussian distribution. According to the prediction method disclosed by the invention, the training time of the LSTM is shortened by sharing the weight, and the SWLSTM is enabled to be capable of performing probability prediction and interval prediction by combining the GPR. SWLSTM-GPR can obtain a high-precision wind speed point prediction result, a suitable wind speed interval prediction result and reliable wind speed probability prediction distribution, which is of great significance for wind power planning and application.

The invention discloses a low-complexity millimeter wave multicast beamforming method. According to the method, multicast communication for multiple users is realized by designing a beam forming vector. The millimeter wave antenna array is divided into a plurality of sub-arrays, each sub-array forms a sub-wave beam which points to different users, and phase shift factors are added to different sub-arrays to improve the design flexibility. Through the molecular array, the number of variables needing to be optimized is greatly reduced, and the calculation complexity is greatly reduced while theperformance is close to that of an existing scheme.

A method for optimizing the cross-sectional shape of forward conceptual design of automobile body is disclosed. A top-down multi-cross-sectional shape optimization step is adopted to optimize the cross-sectional shape of automobile body, and high calculation precision and lightweight design effect of automobile body structure are obtained. According to the optimization method of automobile body section shape in forward conceptual design, aimed at the characteristics of thin-walled beam, an improved dynamic stiffness matrix considering poisson effect is adopted. The proportional vector method and the thickness parameter of thin-walled beam are used as optimization variables to reduce the optimization variables and ensure the feasibility of multi-section optimization. Considering bending stiffness, torsional stiffness and first-order free vibration frequency as design constraints, three kinds of manufacturing and assembly constraints are included to ensure the manufacturability of the optimized structure. Using distributed parallel optimization technology, the overall optimization speed of the vehicle body is significantly improved. The method of the invention is accurate in solution, fast in calculation and practical and reliable.

The invention discloses an intelligent reflection surface reflection phase configuration method based on a neural network, and the method comprises the steps that: a pilot signal is transmitted to a receiving end through a transmitting end, and the receiving end is enabled to obtain channel state information; the base station end predicts the optimal reflection phase according to the obtained statistical channel state information and the neural network, controls the intelligent reflection surface through a wired or wireless link, optimizes the reflection phase of a reflection array, updates a neural network data set, continues to train neural network parameters, and when the carrier frequency, the relative spatial position or the wireless transmission environment between the transmitting end and the receiving end of the transmitting end or the receiving end are changed to cause the change of the statistical channel state information, the steps are repeated. According to the method, the reflection phase is configured by using the channel state information, and the optimized intelligent reflection surface optimization phase configuration is quickly predicted by continuously optimizing the neural network model parameters, so that the power of the received signal is optimized.

The invention discloses a cold standby reliability redundancy distribution method and system based on a swarm intelligence algorithm, and aims to solve the problem of RRAP cold standby reliability redundancy distribution so as to optimize the system reliability of a cold standby redundancy system. The cold standby RRAP is also a model of mixed integer optimization programming; and the problem is difficult to solve by using a traditional method. According to the invention, in the cold standby redundancy system, a new solution structure is adopted; the number of variables is reduced by half; thepreprocessing of each variable boundary is found to reduce the solution space; a new SSO updating mechanism is adopted to be combined with elite selection to balance utilization and exploration and new local search so as to improve newly discovered gBest and solve the cold standby RRAP; and the optimal or high-quality solution of the RRAP of the cold standby redundancy system is obtained, the solution quality, the solution feasibility and unused resources of the final optimal solution are greatly reduced, the cold standby redundancy of the server and the like is greatly reduced, and the server operation efficiency of the cold standby redundancy system is improved.

The invention relates to a method and a system for determining magnetotelluric time domain impedance. By equivalently solving the optimization problem, the operation of matrix inversion is avoided, and meanwhile, the noise type and distribution in the signal are not assumed, so that the influence of peak impulse noise is suppressed without Bayesian estimation, the impedance estimation process is simplified, and the calculated amount is reduced; moreover, by using an interleaved multiplier iteration method, the updating of iteration parameters can be accelerated, the number of variables of eachiteration can be reduced, and the convergence speed is faster than the steepest descent iteration used by the traditional method; and besides, time domain impedance estimation is converted into an unconstrained convex optimization problem by adopting an improved algorithm, and the convex optimization problem is solved to obtain a global optimal value, so that the problem that the steepest descentiteration of local optimization is caught in a local minimum value in a traditional method is avoided, fitting errors are reduced, and a convergence result is more reliable.

The invention provides a mining planning method of an accumulated bauxite multi-mining area. According to the constraint conditions which need to be considered during production and the mining priority of specified stopes, before iteration, the calculating variables after the specified stopes are mined are decomposed, the constraint calculation result after the specified stopes are mined is decomposed to participate in each time of iteration, it is ensured that the optimal solution conforms to the practice, the problems that an objective function is difficult, and variables are fuzzy are solved, a model is conveniently called through a computer simulating method in the actual application process, and planning calculation is automatically conducted.