32results about How to "Good overall" patented technology

The invention provides a temperature compensation method for a six-dimensional force sensor, which relates to the technical field of sensors. The temperature compensation method of the six-dimensional force sensor includes: collecting the input signal and output signal of the six-dimensional force sensor at different temperatures; determining the structural parameters of the BP neural network; optimizing the connection weight of each network layer of the BP neural network by using the improved beetle algorithm. value and threshold; using the optimized neural network prediction model to perform temperature compensation on the output of the six-dimensional force sensor. The technical problems in the prior art that the accuracy of the hardware temperature compensation method is limited, the compensation process is cumbersome, and the debugging cost are high are solved. The invention uses the BP neural network to model the temperature compensation process, and uses the global optimization ability of the improved long beetle algorithm to optimize the structure and parameters of the neural network model.

The invention provides a method and a system for assessing power grid panel point reliability. The method comprises the steps that a reliability assessment order is received, power grid structural information and related element information are acquired according to the reliability assessment order; the reliability coefficient of each connecting line is generated according to the power grid structural information, the reliability coefficient of each node is generated according to the element information; the reliability parameter of each node is determined according to the reliability of each connecting line and the reliability of each node. According to the method and the system, the reliability of a power grid can be assessed easily, quickly and efficiently.

The invention discloses a method for automatically recognizing vehicle colors in road intersection video and picture. The method comprises the following steps: extracting a training sample and labeling; collecting a test sample and labeling; carrying out color space conversion on the training sample and the test sample; calculating color distribution centers of the training sample and the test sample; and carrying out color classification and recognition. According to the method, the boundedness of an unstable local region of a color sample is avoided; the color feature of the vehicle can be relatively accurately recognized; and the effects on an ambient light source are reduced. For public security video and image monitoring data, the color of the vehicle has relatively good stability in a road, and is not easily artificially changed on the road, so that important roles in recognizing and determining the vehicle are played, the problem that the color of the vehicle cannot be easily effectively recognized in an unstable light environment in which the vehicle is located for a long period of time is solved; and the method plays a positive role in construction of intelligent transportation and safety cities.

The invention relates to a distributed photovoltaic power generation control method for adaptively adjusting reactive power output. The distribution network system in the area is connected to photovoltaics, and the photovoltaics participate in the absorption or emission of reactive power. According to the sunshine intensity, temperature and local load data of the area, the output power value of photovoltaics is calculated, and the output power of photovoltaics is obtained. The upper limit value of work power; then, the reactive power control in the distribution network system is optimized by using the particle swarm optimization algorithm by setting the initial value and the objective function. The invention utilizes the particle swarm algorithm to optimize the reactive power output by photovoltaics, which effectively improves the problem of poor power quality.

The invention relates to the technical field of urban rail train manufacturing, and specifically discloses a method for measuring coverage of an urban rail car body chassis, including storing all chute points in a chute point collection, and using the first chute point to be measured as a compensation point, Control the machine tool probe to cover, obtain the nearest chute point to be measured from the current compensation point through the machine tool probe, calculate the Euclidean distance between the current compensation point and the nearest chute point to be measured, and calculate the diameter of the compensation area circle with the machine tool probe For comparison, take the center of the connection line between the current compensation point and the nearest chute point to be measured as a new compensation point, control the machine tool probe to cover, obtain the chute point to be measured closest to the new compensation point through the machine tool probe, and calculate the current The Euclidean distance between the compensation point and the nearest chute point to be measured is compared with the radius of the compensation area circle of the machine tool probe. Every time the machine tool probe completes the coverage of the chute point, it extracts the covered chute point from the chute point. Chute points, until the chute point set is an empty set, the operation ends.

The invention provides a method for building a layer velocity model of a stratum. The method comprises the following steps of: acquiring earthquake-related data of a work area; generating a layer velocity field by utilizing the earthquake-related data and drilling data of the work area; carrying out velocity iteration processing on the layer velocity field by using a reflection tomography method to generate an optimized layer velocity field; extracting a layer velocity planar graph of each stratum from the optimized layer velocity field; correcting the extracted layer velocity planar graph of each stratum by utilizing the drilling data; generating a layer velocity field based on the corrected layer velocity planar graph; and carrying out the velocity iteration processing step on the generated layer velocity field by using the reflection tomography method when the correcting value exceeds a preset range.

Disclosed relates to a method for skinning technology based on extended PBD and for weight retargeting in character animation. A corresponding tetrahedral mesh is generated for a given triangular mesh; a tensile constraint, a volume constraint, a self-collision constraint and an energy constraint of the extended PBD are initialized for the tetrahedral mesh, and vertex weights of the triangular mesh and the tetrahedral mesh are optimized simultaneously; the deformations of the triangular and the tetrahedral meshes are implemented through LBS technique; deformation results of the LBS are optimized through extended PBD; the joint region of the triangular mesh is smoothed through a Laplacian smoothing; bi-harmonic distance fields of the original mesh and a new mesh are calculated respectively, and two corresponding vertices of the mesh are given and a prediction function is defined; A weight retargeting algorithm is implemented in the present application and has a good practicability.

The invention particularly relates to a wind driven generator arrangement and selection optimization method and system. The method comprises the following steps that at least one blower arrangement scheme is acquired, and each blower arrangement scheme acts as one chromosome of a genetic algorithm; an optimal blower selection scheme corresponding to each chromosome and adaptation corresponding to the optimal blower selection scheme are generated according to a cluster particle swarm algorithm, and the adaptation acts as the adaptation of the chromosome; and the first global optimal adaptation of the genetic algorithm is calculated according to the adaptation of all the chromosomes and the target chromosome corresponding to the first global optimal adaptation is acquired, then the blower arrangement scheme corresponding to the target chromosome is outputted to act as the target arrangement scheme, and the optimal blower selection scheme corresponding to the target chromosome is outputted to act as the target selection scheme. The globality of the selection algorithm is fully considered, and the situation that selection optimization falls into the local optimum can be effectively avoided so that the globality is better, the performance index is better, the selection scheme is more accurate and the practicality is higher.