35results about How to "Fast calculation" patented technology

The invention relates to a scale adaptive kernel correlation filter fast target tracking method. According to the scale adaptive kernel correlation filter fast target tracking method, separation of afront background is promoted and a scale estimation module is added through introducing a two-dimensional variable bandwidth Gaussian window into a KCF framework, scale variations of a target are estimated according to a matching result of feature points of an image block, and whether the target is sheltered is judged by combining displacement prediction based on the scale variations. Once the target is sheltered, the user considers that no scale conversion occurs at the moment and template update is not performed, further the tracking precision is enhanced in this way. The scale adaptive kernel correlation filter fast target tracking method has the advantages of simple and fast calculation, and can significantly improve the calculation efficiency on the basis of compatible scale adaptation.

The invention discloses a user identity recognition method based on hand exercise. Identity recognition is achieved by means of hand exercise characteristics of users. The method comprises an off-line stage and an on-line stage. In the off-line stage, hand exercise tracks of all the users to be recognized are recorded through a depth camera, then the tracks are segmented, space-time parameters are extracted from the segmented tracks to be used as characteristic information, and finally the characteristic data are trained by means of a machine learning method to obtain a user identity recognition model. In the on-line stage, the hand exercise tracks of the users are collected similarly, and segmentation and characteristic extraction are carried out on the tracks. Then, on-line recognition is carried out on the tracks through the user identity recognition model obtained in the off-line stage. According to the user identity recognition method, with the help of the depth camera, identity recognition is achieved by means of hand exercise behaviors of the users, physiological characteristics and behavioral characteristics of the users are combined, and the user identity recognition method has the advantages of being capable of being carried with the users, universal, noninvasive, receptible and the like.

The invention discloses an AGV positioning method and device, relating to the field of laser positioning. A laser device is adopted in the method, and the device has the functions of emitting laser and measuring the distance between the center of the device and a reflecting plate. The positioning method comprises the following steps: step 1, two reflecting plates perpendicular to each other in anAGV working environment are arranged and a two-dimensional reference coordinate system is created by taking the reflecting plates as coordinate axes respectively; step 2, the two laser emitting devices are installed in the center of an AGV body in a mutually perpendicular mode; step 3, distance measurement is made twice on the operated AGV to obtain measurement data; step 4, a mathematical modelis established by utilizing the obtained measurement data; and step 5, the center coordinate of an AGV body is calculated.

The invention relates to a method for judging the failure of a rendezvous spacecraft's ground guidance orbit maneuver. The method is based on the orbit measurement data before and after the maneuver of the spacecraft, and according to the orbit error propagation mechanism, the spacecraft orbit deviates from the nominal orbit range after the maneuver under normal circumstances; through the orbit The simulation calculates the nominal orbit after the orbit maneuver, and makes a difference between the measured orbit and the nominal orbit after the maneuver; by comparing the deviation with the normal deviation range, it is judged whether the actual orbit maneuver of the spacecraft is normal. The party uses the existing orbit measurement data to judge orbital maneuver faults, which does not hinder the existing spacecraft flight control process; the error influence is propagated through the analytical method, and the algorithm is simple and the calculation speed is fast.

The invention discloses a thermodynamic model calculation method and equipment for multi-equipment operation of a cold source system, which are not limited to analysis of single equipment, but analyze the whole cold source system and consider group control among equipment, that is, a thermodynamic model of the cold source system is constructed based on a water chilling unit, a cooling tower and a water pump. Due to the fact that the water chilling unit, the cooling tower and the water pump are closely connected, mutually coupled and influenced, hydraulic balance and thermodynamic balance are achieved, hydraulic calculation and thermodynamic calculation are separated, hydraulic parameters of the water chilling unit, the cooling tower and the water pump are calculated firstly, then thermodynamic parameters of the water chilling unit, the cooling tower and the water pump are calculated, the calculation speed is high, and calculation efficiency is high. The method not only saves the time of iterative calculation, but also lays a foundation for the rapid diagnosis of the system, thereby solving the technical problems that the influence of group control among the water chilling unit, the cooling tower and the water pump is not considered, the calculation rate is low, and sufficient data volume is difficult to calculate rapidly for the rapid diagnosis and analysis of the air conditioning system.

The invention discloses a power flow processing method for power-heat combined systems. Aiming at a power-heat combined system, known basic network data of a power grid and a heat network are acquiredthrough a sensor in the power grid or a tool before calculation, processing is carried out according to the known basic network data to obtain post-power flow voltage Vi' of each node in the power grid and a post-power flow thermal medium flow-in temperature of each node in the heat network after power flow iteration, power flow iteration processing is carried out continuously, after the power flow iteration at each time, a maximum value between the thermal medium flow-in temperatures of each node in the heat network and a maximum value between the voltages of each node in the power grid before and after the power flow iteration are calculated, and judgement is carried out until requirements are met so as to complete power flow processing. The power flow processing method for power-heat combined systems is capable of carrying out calculation processing more rapidly, occupies small memory, is good in power flow result correctness, and is capable of optimizing the construction of the power-heat combined systems, providing correct data for power grid scheduling and enhancing the applicability of a direct power flow method.

The invention provides a subgrade compaction construction data efficient processing system. The system comprises a data splitting unit, a data storage queue unit, a storage task scheduling thread poolunit, an original data storage unit, a data calculation task queue unit and a calculation task execution unit. The system and the method aim at achieving high-concurrency rapid storage and high-concurrency rapid calculation processing of a large amount of construction original data. By designing a reasonable data fragmentation rule and a storage task scheduling strategy based on a thread pool, high-concurrency rapid storage of real-time data is realized. Through fragmented storage of the data, high-concurrency reading, calculation and processing of the original data are realized.

The invention discloses a method and system for locating human body parts based on rapid multi-dimensional space clustering, wherein the method includes: obtaining intermediate results of human body part positioning, and importing the intermediate results in the form of point sets; Divide the tree, each node in the divided tree corresponds to each point in the point set, and each node is marked as unprocessed; any node in the specified point set is marked as unprocessed, and the node is marked as unprocessed Clustering processing, clustering processing divides all nodes in the tree into multiple different cluster centers; after all nodes are marked as processed, output all cluster centers that have been found. The present invention can be applied to an embedded system with limited computing resources to perform high-accuracy fast computing processing and aggregate identified points of different human body parts, without relying on prior training and easy to achieve global optimality.

The invention discloses a power flow calculation method for a three-phase imbalanced medium-and-low-voltage active distribution network with a looped network. The method comprises: for the three-phaseimbalanced medium-and-low-voltage active distribution network with the looped network, acquiring known basic network data; by a virtual current compensation method, decomposing the looped network into a decomposed looped network; obtaining the power flow post-voltage of various nodes in a power grid after power flow iteration; performing power flow iterations continuously, and calculating, aftereach power flow iteration, the maximum value of the voltage differences of the nodes in the power grid before and after the power flow iteration: and determining until the requirements are satisfied so as to complete the power flow processing. The method of the invention can process the looped imbalanced network in the three-phase imbalanced medium-and-low-voltage active distribution network, performs calculation quickly, occupies small memory, has high power flow result accuracy, can optimize the construction of the three-phase imbalanced medium-and-low-voltage active distribution network, and provide accurate data for grid dispatch.

The invention relates to an electrocardiosignal denoising method based on heterogeneous computing. The method comprises the steps of inputting electrocardiosignal data of a plurality of patients; decomposing each electrocardiosignal through CEEMDAN, obtaining a set of modals separately after each electrocardiosignal is decomposed, and executing different electrocardiosignal decomposition processesin parallel; judging whether or not the obtained modals are pure modals; linearly adding the obtained pure modals to finally obtain a pure signal. By means of the method, the CEEMDAN is achieved based on heterogeneous computing, the method has certain self-adaptive capabilities, the time overheads can be reduced, the computing speed is high, and the denoising efficiency is high.

An aircraft mooring scheme evaluation method based on a multi-body model comprises the steps that firstly, a full aircraft mooring load calculation model comprising an aircraft structure model, an undercarriage system model and a steel cable unit model is established in multi-body dynamics software LMS Virtual.Lab, and the aircraft weight, the gravity center and the inertia attribute are set in the aircraft structure model; the undercarriage system model is internally provided with the weight, the gravity center, the inertia attribute and the buffer attribute of each structure of the undercarriage, and the steel cable unit model is internally provided with the steel cable attribute; the method comprises the steps that firstly, a full-aircraft mooring load calculation model is established, then, the aircraft appearance is imported into dynamics simulation software and assembled with an aircraft undercarriage system to construct a virtual prototype, finally, the full-aircraft mooring load calculation model is applied to the virtual prototype, scheme design evaluation is conducted on full-aircraft mooring according to standard requirements, and an optimal aircraft mooring scheme is obtained. Optimization design can be effectively carried out on an aircraft mooring scheme, the design requirement of an aircraft structure for mooring loads is met, and the model development period is shortened.