15results about How to "Reasonable division" patented technology

The invention belongs to the technical field of spherical screen image processing, and particularly relates to an image processing system and method for suspension type spherical screen panoramic vision, and the system obtains the attribute and position information of a spherical screen and a plurality of projection devices through a spherical screen modeling module, constructs a spherical screen-projection integrated three-dimensional model, and precisely divides projection areas to correspond to the devices; the image processing module collects image sequences of different angles of the panoramic vision scene; the image splicing module uses feature point detection, a YOLO algorithm and a convolutional neural network to identify an overlapping region and discriminate a dynamic region, and obtains a dynamic pixel splicing line through a dynamic planning search algorithm; the image correction module constructs a projection mapping function, corrects geometric and optical distortion of the image, and optimizes a splicing effect through a splicing correction function; and finally, the multi-view output module projects the corrected image sequence to a corresponding area of the dome screen by using a plurality of projection devices, so that real-time dynamic splicing and monitoring are realized, and projection synchronization and image quality are ensured.

The invention discloses a power distribution area number determination method and device based on a transformer substation, terminal equipment and a storage medium, and the method comprises the steps: inputting an equipment attribute parameter and a historical fault parameter into a first electric energy loss prediction model, so as to determine a first electric energy loss value of a target transformer substation; and inputting the environmental parameters into a second electric energy loss prediction model to determine a second electric energy loss value of the target substation at the target time, thereby calculating an actual power distribution value of the target substation according to the theoretical electric energy capacity value, the first electric energy loss value and the second electric energy loss value. And according to the actual power distribution value, the power utilization load and the preset power utilization distribution proportion, determining the number of power distribution areas in which the target transformer substation distributes power at the target time. By implementing the invention, the layout and the structure of the power network can be optimized based on the number of the power distribution areas distributed by the transformer substation, so that the operation efficiency of the whole power grid is improved.

The utility model relates to the field of power adapters, and discloses a light-weight power adapter with high heat dissipation efficiency, which comprises a box body, a fan group and a heat dissipation device, the top of the box body is connected with a cover plate, two cube end faces of the box body are both provided with wires, and a circuit board placing bin, a heat dissipation device placing bin and a fan placing bin are arranged in the box body. A circuit board is installed in the circuit board containing bin, power adapter internal components are inserted into one face of the circuit board, the back face of the circuit board is fixedly connected with the box body, a heat dissipation device is arranged in the heat dissipation device containing bin, a copper refrigeration plate is bonded to the top of the heat dissipation device, and a fan set is arranged in the fan containing bin. When the power adapter works, the heat dissipation device and the fan group are matched for use to cool the whole power adapter, so that the service life of the power adapter is greatly prolonged, and the heat dissipation efficiency of the power adapter is greatly improved.

The invention relates to the field of carrier communication, in particular to a channel selection method for power line carrier communication, which comprises the following steps of: determining a relay area division mode according to the number of relay points and a relay point distribution coefficient, or dividing the relay area according to a distance reference value and a preset condition, recording a radiation area corresponding to the relay point as a relay area; determining a relay radiation value according to the sum of the areas of the overlapping areas corresponding to the relay areas; the data state is determined according to a channel influence coefficient and a data evaluation coefficient, a channel selection mode is determined according to the data state, and the channel selection mode is that a transmission combination is determined according to a preset selection mode and a selection optimization mode is determined according to a relay radiation value and data sensitivity, or a transmission channel is determined according to a transmission difficulty threshold. The carrier communication quality can be ensured, and the potential safety hazard of communication data transmission can be reduced.

The invention relates to the technical field of target search, in particular to a PSO-HS-based target search method, which comprises the following steps: constructing a swarm robot system, and setting the number of search targets; the speed and the position of the robot are updated through PSO; calculating the probability that the robot responds to the search target, and performing subgroup division on the swarm robot system by utilizing the probability of the search target; a random model is constructed to adjust the speed of the robot; base station deployment is carried out, and the position of a base station is controlled by using a harmony search algorithm; and updating the speed and the position of the base station, and generating a new solution. According to the method, the problems of low optimization speed and high energy consumption during updating of the base station in the existing CN115955679A method are solved.

This invention discloses a deep learning-based method for ultra-short-term photovoltaic (PV) power prediction. First, historical data is preprocessed to eliminate irrelevant variables and accelerate model training. Then, the advantages of three clustering algorithms are combined to obtain a more reasonable dataset partitioning. Next, particle swarm optimization is used to optimize the parameters of variational mode decomposition. Finally, parallel learning of CNN and GRU networks is employed to identify local and temporal features of the data, enabling the network structure to fully leverage the input data. Finally, a deeper learning process is achieved through CNN neural network concatenation and fusion, resulting in high-precision prediction. The PV power prediction method of this invention demonstrates excellent performance, significantly outperforming other traditional models in predicting PV power under different weather conditions.

The present invention discloses a cluster analysis method for load spectrum of turboshaft engine based on three-dimensional K-Means, comprising the following steps: step (1), pre-processing the original speed spectrum and height spectrum of n sections; step (2), characteristic analysis of parameter spectrum of civil turboshaft engine; step (3), establishment of three-dimensional K-Means model based on typical mission segment and division criteria of typical sections. The present invention provides an important basis for life determination and life extension of aeroengine, and provides an effective pre-processing method for strength analysis of aeroengine and compilation of comprehensive mission spectrum.

The invention provides a photovoltaic string division method and system of a power generation unit. The method comprises the following steps: obtaining a capacity range of each photovoltaic string to be divided and a capacity demand value of the power generation unit; according to a preset searching path, sequentially searching the photovoltaic modules meeting the conditions, and when the photovoltaic modules meeting the conditions are found, judging whether the currently found photovoltaic group string is adjacent to the previous photovoltaic group string in the physical position or not; and if yes, determining whether the currently found photovoltaic string is divided into the power generation unit or not according to the power generation capacity and the space coordinates of the currently found photovoltaic string and the capacity demand value of the power generation unit. According to the technical scheme provided by the invention, the photovoltaic string can be reasonably divided, the cable consumption is reduced, and the overall efficiency is improved.

The application provides a target detection method based on clustering optimization, which comprises the following steps: receiving target point cloud data, wherein the target point cloud data corresponds to a target image, and the target point cloud data is point cloud data of a predetermined region obtained by a laser radar, and the predetermined region is a region spaced apart from a vehicle by a predetermined distance; performing filtering processing and clustering processing on the target point cloud data to obtain a plurality of clustering results, and performing merging processing on the plurality of clustering results to obtain at least one target independent region; determining the size of a target voxel based on at least the at least one target independent region, and constructing a target pseudo image based on the size of the target voxel, and performing target detection based on the target pseudo image. In this way, the division of the target voxel is reasonable, thereby solving the problem that the division of the voxel is unreasonable in the prior art.

The utility model relates to the technical field of semiconductor manufacturing, in particular to a star-shaped ejector pin clamp which comprises a cylindrical clamp body, an ejector pin seat is arranged at one end of the clamp body, the ejector pin seat is of a trumpet-shaped structure and is evenly divided into eight clamping petals, only two clamping holes are formed between every two clamping petals, and the clamping petals are arranged in the clamping holes. The clamping holes are distributed in a star shape; according to the utility model, the ejector pin seat is fastened through the ejector pin fastening ring and the fastening ring fixing nut so as to clamp the ejector pin, and the ejector pin seat is provided with the *-shaped clamping hole sites, so that the hole sites are distributed more uniformly and can be suitable for chips with larger sizes; and the ejector pin fastening ring is clamped in a 360-degree surrounding manner, so that the fastening force in each clamping hole is uniform, the flatness of the ejector pins in the moving process is ensured, and the coplanarity between the ejector pins can be effectively kept.

The present application discloses a grid division method and device for improving data availability. The present application trains a prediction model based on the population of the area to be studied and the data of points of interest to predict the population of each first grid; the first grid is obtained by dividing the area to be studied according to a preset first grid size; the optimal unified offset is searched through a first optimization strategy, and all the first grids are offset according to the optimal unified offset, so that the number of first grids whose first population is greater than or equal to a first threshold is maximized; the optimal merging scheme is searched through a second optimization strategy, and the first grids are merged according to the optimal merging scheme, so that the first population of each first grid after merging and the number of first grids are both minimized and greater than or equal to the first threshold. Through the present application, the number of grids can be reduced while improving the grid accuracy, thereby improving the efficiency of subsequent data processing.

The utility model discloses a tool box for engineering cost, and belongs to the field of engineering quotation, in particular to a tool box for engineering cost, which comprises a shell, a bottom plate, support frames and a placing plate, the support frames are symmetrically and equidistantly mounted in the shell in a sliding manner, the bottom plate is mounted between the support frames in a sliding manner, and the placing plate is arranged on the bottom plate. According to the tool box, the mounting device and the adjusting device are arranged, so that the space in the box body can be quickly and stably divided according to tools of different specifications and sizes, different molds can be placed, the tools can be more flexibly and stably placed in the corresponding mold grooves, and the tool box is more convenient to use. The internal space of the box body is more reasonably divided and distinguished, the situation that tools collide in the box body in the transportation process can also be prevented, the storage effect of the tools in the box body is more perfect, and the overall working quality is improved.

The application relates to the technical field of vehicle control, and discloses a vehicle lane-changing method, a vehicle lane-changing system, a vehicle and a storage medium, the method comprising the following steps: acquiring vehicle information of a lane-changing vehicle, all lane information of a current driving road and a target detection result, the target detection result comprising obstacle targets on each lane; performing regional division on each lane based on the target detection result, so as to obtain a plurality of feasible regions; determining a lane-changing safety distance based on the vehicle information and the lane information; determining adjacent feasible regions and corresponding lane-changing weights based on all feasible regions, the lane-changing safety distance and the lane information; screening a lane-changing path of the lane-changing vehicle based on the vehicle information, the adjacent feasible regions and the corresponding lane-changing weights; determining a lane-changing path of the lane-changing vehicle based on the lane-changing path and the lane information; and controlling the lane-changing vehicle to drive along the lane-changing path. According to the application, the pose requirement of vehicle lane-changing can be considered, the rationality of lane-changing decision is improved, and the safety of vehicle lane-changing is ensured.

This invention discloses a cable tensioning device, method, and application for large-angle vertical rotation of long linear structures, belonging to the technical field of installation devices for large-angle vertical rotation of long linear structures. Located at the cable anchorage end of the higher part of the vertical rotation component, it includes a cable force identification module, a mechanical transmission module, and a tensioning module. The cable force identification module includes several force measuring elements, each disposed on each strand of the cable. The mechanical transmission module includes a three-stage rotating hinge structure, comprising a first rotating hinge structure, a second rotating hinge structure, and a third rotating hinge structure connected sequentially. This technical solution addresses the problem in existing technologies where, during large-angle vertical rotation of long linear structures, individual strands in the cable may become slack, and the limitation of the installation component's length and installation height makes it difficult to tension the slack strands.

The invention discloses a network education resource sharing system based on big data, relates to the technical field of network education resource sharing, and solves the technical problem that there are many teaching video resources on the existing network, the quality is uneven, students need to spend a lot of time to screen out high-quality resources suitable for themselves, which increases the difficulty and burden of learning; the information acquisition module of the invention acquires the sharing information of teaching videos; based on the shared information, the actual browsing ratio and evaluation index are analyzed; based on the actual browsing ratio and evaluation index, the quality evaluation value of the teaching video is analyzed and compared with the evaluation threshold range, and the teaching video is classified; based on the category, it is stored in different storage areas; by performing quality evaluation and classification on the teaching video, the user's search time can be saved, the learning efficiency can be improved, and the user experience can be improved at the same time.