119 results about "Box model" patented technology

The invention discloses an industrial robot collision preventing method. Firstly, geometric models of a robot and a workpiece are refreshed according to the predicted robot motion state, and robot andworkpiece geometric model crossed detection is conducted, and accordingly whether the risk that the workpiece collides with a robot body exists or not is detected; after it is detected that the robotand the workpiece are free of the collision risk, an AABB surrounding box model is established according to the refreshed robot and workpiece geometric models, accordingly, workpiece AABB surroundingbox model crossed detection is simplified, finally, the robot, the workpiece and outer tools in the crossed area are subjected to crossed detection, tools not in the crossed area do not need to be subjected to crossed detection, and accordingly the crossed detection operand is reduced. The procedure is simple, and the execution efficiency is high. By means of the method, the collision risk can bedetected in time before potential collisions happen, the robot is stopped, collisions are avoided, and the method is suitable for any running work condition of the robot.

The invention provides a point cloud collision detection method applied to a robot grabbing scene. The method comprises the following steps of S1, constructing a bounding box model of a robot clampingjaw, and collecting point cloud data in a workpiece region; S2, establishing a robot coordinate system, a vertex coordinate system and a point coordinate system, and obtaining a homogeneous transformation matrix; S3, obtaining the coordinates of each vertex of the bounding box model and the coordinates of each point of a point cloud under the robot coordinate system respectively according to thehomogeneous transformation matrix; S4, judging the relationship between each point of the point cloud and the bounding box model, and obtaining the quantity of the points, in the bounding box model, of the point cloud; and S5, comparing the quantity of the points, in the bounding box model, of the point cloud with a preset threshold so as to detect whether the clamping jaw collides with an actualobject or not in advance. According to the point cloud collision detection method applied to the robot grabbing scene, the problem of unstable grabbing caused by a collision conflict between a clamping jaw and other workpieces touched by the clamping jaw in the workpiece grabbing process of a robot currently is solved.

The invention provides a multi-drive remote control boxing model robot system and a control method of the robot system, relates to the control technology of boxing model robots, and aims at solving the problems that the existing boxing model robot is complex in structure, cannot be flexible to act and is difficult to respectively control a left arm and a right arm. The multi-drive remote control boxing model robot system is that a remote controller is used for controlling a robot; a remote controller control module implemented through software is embedded in the remote controller; a robot control module implemented through software is embedded into the robot; the remote controller and the robot communicate through a wireless communication module; the robot comprises two punching mechanisms, a front walking mechanism, a rear walking mechanism and a medium raising cam and can perform punching, walking, raising, lowering and other actions under the control of the remote controller; the action is direct and flexible, the parts are simple, and the left arm and the right arm can be respectively controlled without mutual interference; in addition, the left arm and the right arm can be respectively controlled. The multi-drive remote control boxing model robot system is applicable to simulation of boxing action.

The invention relates to an air target tracking method based on deep learning and specifically relates to the air target tracking method based on deep learning. The method comprises the following steps: through an MDNet, collecting positive samples of a first frame image and carrying out random sampling, and training a bounding-box model with the samples obtained after random sampling serving as adata set; then, training an AR model, order and parameters of which are determined by utilizing a minimum information criterion and a least square method, and estimating target motion trajectory andpredicating a target position; and then, serving the target position as a sampling center of the MDNet, and adjusting the target position through the bounding-box regression model, and thus tracking is finished accurately. The method can adaptively extract air target characteristics, combine with the AR model and effectively utilize motion information of a target, so that dependency of the MDNeton the target characteristics can be reduced greatly, pseudo-target interference is solved, and meanwhile, tracking precision is improved.

The behavioral model and predistorter for modeling and reducing nonlinear effects in power amplifiers addresses the model size estimation problem. The GMP model is replaced by the hybrid memory polynomial/envelope memory polynomial (HMEM) model within a twin nonlinear two-box structure to reduce the number of variables involved in the model size estimation problem, without compromising model accuracy and digital predistorter performance. A sequential approach is presented to efficiently estimate the model size. Experimental validation is carried out to evaluate the performance of the size estimation and the accuracy of the HMEM-based twin-nonlinear two-box model with respect to that of the GMP-based twin-nonlinear two-box model.

The invention relates to a turntable vacuum moulding production line which comprises a shakeout transfer trolley, an electromagnetic iron absorption mechanism, a pouring mechanism, box closing manipulators, a box returning motor roller way, a box opening space motor roller way and a box opening space. In the invention, multiple pairs of upper and lower box models are arranged in a circular automatic moulding ring respectively; the models are continuously subjected to coating, spraying, drying, empty box fastening, sand addition, compaction, smoothening and back film coating, wherein all operations can be automatically performed, except for the spraying which is manually operated. Two rapping box closing manipulators are arranged between two moulding rings so as to perform rapping, box turning and box closing on the lower and upper boxes respectively. The closed moulding boxes are continuously arranged in the pouring moulding ring and sequentially subjected to pouring, cooling and box opening, wherein manual pouring is adopted generally, and other processes can be realized automatically; and due to the automatic moulding line, the production efficiency is greatly improved, and the moulding of 20 models can be realized per hour.

The invention discloses a manufacturing method of a carbon fiber automobile battery box. The manufacturing method comprises the following steps that firstly, an automobile battery box machining die is designed; secondly, an automobile battery box model is machined; thirdly, an automobile battery box die is manufactured; fourthly, materials are prepared; and fifthly, an automobile battery box is manufactured, the surface of a cavity of the automobile battery box die is coated with a releasing agent and coated with a gel coat layer in a sprayed mode, carbon fiber cloth is laid through 3M spraying glue, vacuumizing is conducted after an auxiliary tool is placed, epoxy modified vinylite is led into, releasing is conducted after curing is finished, trimming and punching are conducted on a product according to a drawing, and the inner face is coated with insulation varnish in a sprayed mode. The invention further discloses the carbon fiber automobile battery box manufactured through the method. By reasonably designing a structure and a laying mode, better mechanical strength and lower use weight can be achieved, and compared with the weight of a battery box with the traditional material, the weight of the carbon fiber battery box is reduced by 44.1%.

The invention belongs to technical area of very large-scale integrated circuit, specific to layout and wiring model of general field programmable gate array. Based on VPR scientific model, the disclosed model improves connection box (CB) model and switching box model (SB) in VPR. Thus, the possessing representative ness, comparative flexibility, the new model can process structure of CB and SB in FPGA. Based on the model, combining relevant method of software process, the invention starts from an initial FPGA structure, changes structure of CB and SB, and finds optimal structure of CB and SB relevant to this FPGA structure. Test result shows that the disclosed model possesses important guiding effect for optimizing FPGA structure.

The invention discloses a table implementation method. The method comprises the steps of obtaining height and width information of a table content main body and height and width information of rows and columns; wherein the table is generated by a div label; determining the table row and column number of the current visible area of the table content main body; creating an anchor point row and endowing an initial height value, and creating an anchor point column and endowing an initial width value; monitoring a div rolling event for the anchor point row and the anchor point column to obtain a rolling distance value; updating row and column contents needing to be displayed in the visible region according to the rolling distance value; and rendering the row and column contents needing to be displayed in the visible region. According to the method, the boundary values of the visible region and the target region can be more easily calculated through the div label, the rendering capability ofthe dom node of the complex table can be efficiently realized by combining the characteristics of different box models, and the performance and the efficiency are higher; the div label can avoid theworkload of the fixed column function simulated by the table label in row and column width and height calculation, and the calculated amount is small.

A method for predicting grid-connected power of regional photovoltaic power station considering system loss mainly comprises the following steps: A, based on support vector machine method, utilizing multiple meteorological parameters such as solar irradiance, cloud cover temperature and other meteorological parameters, and photovoltaic module surface irradiance, module temperature and other components photovoltaic power generation model. B, according to DC line loss model, bus box model, invert model, AC section loss model and transformer model of that grid-connected power flow component of the photovoltaic module, obtaining a regional photovoltaic power station loss modelC, according to that output prediction of the photovoltaic module and the grid-connected tidal current loss of the regional photovoltaic pow station, providing a grid-connected power prediction method of the regional photovoltaic power station considering the system loss of the component. Compared with other photovoltaic output forecasting methods, the present invention not only exerts the advantages of the support vector machine method in forecasting the small sample data and increases the forecasting speed, butalso further defines each loss in the photovoltaic grid-connected link, which is favorable for the effective operation of the regional photovoltaic power station.

The invention discloses a method for automatically converting a design drawing into a webpage based on a box model, and the method comprises the steps: S1, carrying out the semantic definition of thedesign drawing, and enabling the design drawing to be converted into box data; And S2, analyzing the box data obtained in the step S1, and converting the box data into a webpage. According to the method, semantic definition is carried out on the design drawing to generate an intermediate language which can be understood by a computer, namely box data, and then the box data of the design drawing are automatically understood by a computer algorithm and analyzed to generate a webpage which can be directly used. The method has the advantages of improving the front-end efficiency, reducing the workload, improving the reusability, reducing the repeated work, improving the output quality, reducing the difference and the like, and can be widely applied to the technical field of methods for converting design drawings into webpages.

The invention relates to a method for determining a rib laying manner of a reinforced retaining wall based on a sand box model test. Initial rib laying parameters of a wallplate are calculated out by establishing a sand box model of a simple interface model and through the Rankine earth pressure theory and the mechanism of action of a reinforced retaining wall, thus a wallplate with pull ribs is manufactured; an earth pressure model loading test is carried out, the number of arrangement layers of the pull ribs is gradually reduced, the rib laying parameters are calculated again, the earth pressure model loading test is repeated, and the optimized number of layers of the pull ribs, the horizontal intervals of all the layers and the vertical positions of all the layers are obtained; the length of the pull ribs is gradually reduced, and the earth pressure loading test is repeated until the optimized length of the pull ribs is obtained. According to the method for determining the rib laying manner of the reinforced retaining wall based on the sand box model test, the theory computing method and the earth pressure model test are effectively combined, the optimal pull rib arrangement manner of the reinforced retaining wall can be obtained more simply, more rapidly and more reliably. Thus, the reinforced retaining wall can stably and effectively play a role in supporting, the total number of layers of rib adding is minimal, the length of the pull ribs is the shortest, the consumption amount of rib materials is small and the structure is economic.

The invention discloses a single-driving remote-control boxing model robot system and a control method of the robot system and relates to a control technology of boxing model robots. The single-driving remote-control boxing model robot system and the control method of the robot system aim at solving the problems that an existing boxing model robot is complex in structure and not flexible in action, and the circumstance that one motor is used for driving a left arm and a right arm is difficult to achieve. According to the single-driving remote-control boxing model robot system and the control method of the robot system, a remote controller is used for controlling a robot, a remote controller control module achieved through software is embedded in the remote controller, a robot control module achieved through software is embedded in the robot, and the remote controller and the robot are in communication through a wireless communication module. The robot comprises two punching mechanisms, a front walking mechanism, a rear walking mechanism and a middle lifting cam. Actions of punching, walking, ascending, descending and the like can be completed under the control of the remote controller. The actions are visual and flexible, parts are simple, one motor is used for controlling the left arm and the right arm respectively, and control over the left arm and control over the right arm do not interfere with each other. The single-driving remote-control boxing model robot system and the control method of the robot system are suitable for simulating boxing actions.