摘要：【中文】本发明公开了一种视频拼接墙处理器控制装置，包括控制系统、若干温度检测装置、若干散热风扇；温度检测装置包括第一温度检测装置和第二温度检测装置；第一温度检测装置用于检测CPU芯片表面的温度；第二温度检测装置用于检测CPU芯片的环境温度；第一、第二温度检测装置分别与控制系统电连接，将实时检测的温度值发送给所述控制系统；散热风扇与所述控制系统电连接，并将所述散热风扇的实时转速频率发送给所述控制系统；所述控制系统对接收到的温度值通过算法处理后与CPU芯片要求的表面温度进行比较，根据比较的每路温度差值来控制对应的散热风扇的转速档位。本发明采用多路温度全方位检测，有利于实现风扇和芯片的最佳工作状态，降低芯片的失效率。 【EN】The invention discloses a video splicing wall processor control device, which comprises a control system, a plurality of temperature detection devices and a plurality of cooling fans, wherein the control system comprises a control system, a plurality of temperature detection devices and a plurality of cooling fans; the temperature detection device comprises a first temperature detection device and a second temperature detection device; the first temperature detection device is used for detecting the temperature of the surface of the CPU chip; the second temperature detection device is used for detecting the environmental temperature of the CPU chip; the first temperature detection device and the second temperature detection device are respectively electrically connected with the control system and used for sending the temperature value detected in real time to the control system; the cooling fan is electrically connected with the control system and sends the real-time rotating speed frequency of the cooling fan to the control system; the control system compares the received temperature value after algorithm processing with the surface temperature required by the CPU chip, and controls the corresponding rotating speed gear of the cooling fan according to the compared temperature difference of each path. The invention adopts multi-path temperature omnibearing detection, is beneficial to realizing the optimal working state of the fan and the chip and reduces the failure rate of the chip.

摘要：【中文】本发明公开了一种山区桥梁水幕泥石流防撞装置及方法，本发明能够使泥石流运动方向偏转，避免泥石流对桥梁墩台的直接冲击破坏，确保桥梁墩台结构安全。包括桥梁墩台，桥梁墩台的上游侧立设有防撞墩，防撞墩的横截面呈等腰三角形，等腰三角形的底边与桥梁平行，等腰三角形的顶角背向桥梁，防撞墩的顶角棱边上以及两侧面上均设有水幕喷头。泥石流爆发后，泥位逐渐提高至水幕启动泥位，泥位传感器将泥位信息传递到智能启停装置，智能启停装置自动开启，在各水幕喷头处形成水幕；水幕形成后，对到来的泥石流体施加反向荷载，迫使泥石流流向两侧发生偏转，并从桥梁墩台之间通过桥梁，使桥梁墩台不被泥石流冲击破坏。 【EN】The invention discloses a mountainous bridge water curtain debris flow anti-collision device and method, which can deflect the movement direction of debris flow, avoid the direct impact damage of the debris flow to a bridge abutment and ensure the safety of the bridge abutment structure. Including the bridge pier, the upper reaches side of bridge pier is equipped with crashproof mound immediately, and isosceles triangle is personally submitted in crashproof mound's transversal, and isosceles triangle's base is parallel with the bridge, and isosceles triangle's apex angle is the bridge dorsad, all is equipped with the water curtain shower nozzle on the apex angle edge of crashproof mound and on the both sides face. After the debris flow is burst, the mud level is gradually increased to a water curtain starting mud level, a mud level sensor transmits mud level information to an intelligent starting and stopping device, the intelligent starting and stopping device is automatically started, and a water curtain is formed at each water curtain spray head; after the water curtain is formed, reverse load is applied to the coming debris flow, the debris flow is forced to flow to the two sides to deflect, and the bridge abutments are not impacted and damaged by the debris flow through the bridge.

摘要：【中文】本发明提供了一种烟气净化装置、烟气净化的方法，涉及烟气净化技术领域。其包括脱除塔，脱除塔的顶端设置有用于消除白烟、固体颗粒和水蒸气的高效除尘除雾器，高效除尘除雾器具有用于对烟气进行降温的降温装置，高效除尘除雾器的出气端连通有用于对经过高效除尘除雾器处理后的烟气进行升温的升温换热器。通过降温装置使得高效除尘除雾器中的含尘含雾烟气温度降低，烟气中的固体颗粒作为凝结核，过饱和蒸汽在固体颗粒表面凝结，使固体颗粒粒径逐渐变大，最终被高效除尘除雾器分离清除。同时，过饱和烟气在降温过程中大量液滴冷凝滞留于高效除尘除雾器中，减少了烟气中水蒸气含量。此外，本发明利用先冷凝后升温的方法，消除了“白烟”。 【EN】The invention provides a flue gas purification device and a flue gas purification method, and relates to the technical field of flue gas purification. It includes the desorption tower, and the top of desorption tower is provided with the high-efficient dust removal defroster that is used for eliminating white cigarette, solid particle and vapor, and the high-efficient dust removal defroster has the heat sink that is used for cooling down the flue gas, and the end intercommunication of giving vent to anger of high-efficient dust removal defroster has the intensification heat exchanger that is used for carrying out the intensification to the flue gas after the high-efficient dust removal defroster is handled. Make the dust-laden in the high-efficient dust removal defroster contain the fog smoke temperature through heat sink and reduce, the solid particle in the flue gas is as the condensation nucleus, and the supersaturated steam condenses on the solid particle surface, makes the solid particle diameter grow gradually, finally is clear away by the separation of high-efficient dust removal defroster. Meanwhile, a large amount of liquid drops of the supersaturated flue gas are condensed and retained in the high-efficiency dust and mist removal device in the cooling process, so that the content of water vapor in the flue gas is reduced. In addition, the invention eliminates 'white smoke' by using a method of firstly condensing and then heating.

摘要：【中文】本发明涉及视频数据调度技术领域，实施例具体公开一种视频数据的缓冲调度方法及装置。本申请在三维场景数据和多视频数据进入系统后，首先在系统内存中划出一部分区域作为数据缓冲区，然后将从系统外设中读取的视频数据填充进去，当需要视频纹理数据时，计算视频影像的实时分辨率，从系统内存的数据缓冲区中按照需要的分辨率抽取视频数据转换为纹理图片，有效提高了视频数据在虚拟三维场景中的渲染效率，保证了三维场景的真实感和沉浸感及多视频几何分析的流畅性，保证了用户操作交互的及时响应。 【EN】The embodiment of the invention relates to the technical field of video data scheduling, and particularly discloses a video data buffer scheduling method and device. According to the method and the device, after three-dimensional scene data and multi-video data enter a system, a part of area is firstly marked out in a system memory to serve as a data buffer area, then the video data read from a system peripheral device is filled in, when the video texture data is needed, the real-time resolution of a video image is calculated, the video data is extracted from the data buffer area of the system memory according to the needed resolution and is converted into texture pictures, the rendering efficiency of the video data in a virtual three-dimensional scene is effectively improved, the sense of reality and immersion of the three-dimensional scene and the smoothness of multi-video geometric analysis are guaranteed, and the timely response of user operation interaction is guaranteed.

摘要：【中文】本申请公开了一种视频注册方法及装置，基于计算机视觉特征提取算法在相机的二维视频图像中提取二维特征元素作为二维控制条件，并在三维虚拟场景中选择与二维特征元素相对应的特征元素作为三维控制条件；利用多项一维标定法计算相机的内方位元素矩阵，并采用光束法优化内方位元素矩阵的精度，得到相机的内方位元素；采用多特征后方交会算法以及二维控制条件和三维控制条件，计算相机的外方位元素。本申请采用多像一维标定法及光束法计算内方位元素，采用多种特征的后方交会法计算外方位元素，结合计算机视觉技术自动提取二维视频图像的二维特征元素，是一种条件简单、操作简便而且精度高的相机标定方法，能够方便快捷的进行视频注册。 【EN】The application discloses a video registration method and a video registration device, wherein two-dimensional feature elements are extracted from a two-dimensional video image of a camera based on a computer visual feature extraction algorithm to serve as two-dimensional control conditions, and feature elements corresponding to the two-dimensional feature elements are selected from a three-dimensional virtual scene to serve as three-dimensional control conditions; calculating an inner orientation element matrix of the camera by utilizing a multi-item one-dimensional calibration method, and optimizing the precision of the inner orientation element matrix by adopting a light beam method to obtain inner orientation elements of the camera; and calculating the exterior orientation element of the camera by adopting a multi-feature rear intersection algorithm, a two-dimensional control condition and a three-dimensional control condition. The camera calibration method is simple in condition, simple and convenient to operate, high in precision and capable of conducting video registration conveniently and quickly.

摘要：【中文】本发明适用于三维模型数据显示技术领域，提供了一种三维模型的数据处理方法、装置及电子设备。所述方法包括第一线程根据当前视点的位置信息，确定待显示场景模型及其对应的模型文件；根据当前视点的视椎体，对待显示场景模型内的所有节点进行可见性判断，并标记出进入当前视点的视椎体视野范围内的可见节点，将可见节点挂载至细节层次分页PageLOD；遍历细节层次分页PageLOD所挂载的可见节点，读取不同层级的LOD模型，对PageLOD所挂载的可见节点进行LOD可见性判断，根据判断结果将数据请求信息存放至数据请求列表中；第二线程根据数据请求列表中的数据请求信息加载对应的可见节点的相关数据至内存等待渲染。本发明可减少需要处理的数据量，从而可保证数据渲染的高效性。 【EN】The invention is applicable to the technical field of three-dimensional model data display, and provides a data processing method and device of a three-dimensional model and electronic equipment. The method comprises the steps that a first thread determines a scene model to be displayed and a model file corresponding to the scene model according to position information of a current viewpoint; according to the view cone of the current viewpoint, carrying out visibility judgment on all nodes in the scene model to be displayed, marking visible nodes in the view range of the view cone of the current viewpoint, and mounting the visible nodes to a detail level paging PageLOD; traversing visible nodes mounted by the pageLOD with detail level paging, reading LOD models of different levels, performing LOD visibility judgment on the visible nodes mounted by the pageLOD, and storing data request information into a data request list according to a judgment result; and the second thread loads the relevant data of the corresponding visible node to the memory to be rendered according to the data request information in the data request list. The invention can reduce the data amount to be processed, thereby ensuring the high efficiency of data rendering.

摘要：【中文】本发明适用于数据处理技术领域，提供了一种三维模型的数据调度方法、装置及电子设备。所述方法包括根据当前视点的位置信息，确定待显示场景模型及其对应的模型文件；通过八叉树结构结合KD树结构，及当前视点的视椎体，对待显示场景模型内的所有节点进行可见性判断，并标记出进入当前视点的视椎体视野范围内的可见节点，将可见节点挂载至细节层次分页PageLOD；遍历PageLOD所挂载的可见节点，读取不同层级的LOD模型，对PageLOD所挂载的可见节点进行LOD可见性判断，根据判断结果将数据请求信息存放至数据请求列表中；根据数据请求列表中的数据请求信息加载对应的可见节点的相关数据至内存等待渲染。本发明可以减少需要处理的数据量，从而可以保证数据渲染的高效性。 【EN】The invention is applicable to the technical field of data processing, and provides a data scheduling method and device of a three-dimensional model and electronic equipment. The method comprises the steps of determining a scene model to be displayed and a model file corresponding to the scene model according to the position information of a current viewpoint; the visibility judgment is carried out on all nodes in a scene model to be displayed through the combination of an octree structure and a KD tree structure and a view cone of a current viewpoint, visible nodes entering the view range of the view cone of the current viewpoint are marked, and the visible nodes are mounted to a detail level paging PageLOD; traversing the visible nodes mounted by the PageLOD, reading LOD models of different levels, carrying out LOD visibility judgment on the visible nodes mounted by the PageLOD, and storing data request information into a data request list according to a judgment result; and loading the relevant data of the corresponding visible node to the memory to wait for rendering according to the data request information in the data request list. The invention can reduce the data amount to be processed, thereby ensuring the high efficiency of data rendering.

摘要：【中文】本申请公开了一种地图的瓦片数据处理方法及装置，将三维地图的瓦片数据按照不同的尺度进行分类压缩，建立多个尺度的数据文件，并建立瓦片数据索引；基于多个尺度的数据文件，构建空间连续尺度表达模型，以在接收到用户的动态数据请求时，实现多个尺度的数据文件的连续表达。本申请通过对海量的瓦片数据进行分类压缩并建立索引，可以改变数据的组织方式，建立有效的文件存储，提高数据的转移效率，并且基于离散尺度的数据文件构建空间连续尺度表达模型，能够实现瓦片数据的尺度的连续性，满足用户对于瓦片数据的连续调度，从而能够节省磁盘空间、简化维护操作、增强数据安全性、且增强瓦片数据的尺度连续性。 【EN】The application discloses a method and a device for processing tile data of a map, which are used for classifying and compressing the tile data of a three-dimensional map according to different scales, establishing data files of multiple scales and establishing a tile data index; and constructing a spatial continuous scale expression model based on the data files with multiple scales so as to realize continuous expression of the data files with multiple scales when receiving a dynamic data request of a user. According to the method and the device, massive tile data are classified and compressed, indexes are built, the organization mode of the data can be changed, effective file storage is built, the transfer efficiency of the data is improved, a space continuous scale expression model is built based on the data file with discrete scales, the continuity of the scales of the tile data can be achieved, the continuous scheduling of a user on the tile data is met, the space of a magnetic disk can be saved, the maintenance operation is simplified, the data safety is enhanced, and the scale continuity of the tile data is enhanced.

摘要：【中文】本发明公开了一种面向大尺度遥感图像的多类目标快速检测方法，包括以下步骤：将大比例尺遥感图像进行裁剪，并通过重新缩放和旋转来增强数据；利用具有串联线性整流函数模块和Inception模块的卷积特征提取器，将所得的图像数据作为输入并输出多个级别的特征；构建多尺度目标提议网络，并利用多尺度目标提议网络将卷积特征提取器输出的特征生成类似目标区域预测框；构建基于融合特征映射的精确目标检测网络，输入带有类似目标区域预测框的图像，利用精确目标检测网络实现精确的目标检测，输出检测结果。实现了具有大尺度变化的遥感图像中的多类目标自动检测，使得对遥感图像的多目标的实时检测成为可能。 【EN】The invention discloses a large-scale remote sensing image-oriented multi-class target rapid detection method, which comprises the following steps: cutting the remote sensing image with the large scale, and enhancing data by rescaling and rotating; using a convolution feature extractor with a series linear rectification function module and an increment module, taking the obtained image data as input and outputting features of multiple levels; constructing a multi-scale target proposing network, and generating a similar target area prediction box from the features output by the convolution feature extractor by using the multi-scale target proposing network; and constructing an accurate target detection network based on fusion feature mapping, inputting an image with a similar target area prediction frame, realizing accurate target detection by using the accurate target detection network, and outputting a detection result. Automatic detection of multiple types of targets in the remote sensing image with large-scale change is realized, and real-time detection of multiple targets in the remote sensing image becomes possible.

摘要：【中文】本发明公开了一种基于多尺度深度卷积神经网络的卫星图像目标检测方法，包括步骤收集卫星图像训练数据集，并进行样本标注；对卫星图像训练数据集进行预处理；搭建多尺度深度卷积神经网络；将预处理后的训练数据集输入到基于所述多尺度深度卷积神经网络的目标检测框架进行训练，获得训练好的目标检测神经网络；输入待检测卫星图像集，采用训练好的所述目标检测神经网络进行目标检测，输出识别结果。其显著效果是：提高了网络对于细粒度特征的检测结果以及区分不同物体的能力，改善了对于小物体和密集物体群的检测效果，具有更强的鲁棒性，有效地提高了目标检测效率，降低了硬件需求。 【EN】The invention discloses a satellite image target detection method based on a multi-scale depth convolution neural network, which comprises the steps of collecting a satellite image training data set and carrying out sample labeling; preprocessing a satellite image training data set; building a multi-scale deep convolution neural network; inputting the preprocessed training data set into a target detection framework based on the multi-scale deep convolution neural network for training to obtain a trained target detection neural network; inputting a satellite image set to be detected, adopting the trained target detection neural network to perform target detection, and outputting a recognition result. The remarkable effects are as follows: the method improves the capability of the network on detecting results of fine-grained features and distinguishing different objects, improves the detection effect on small objects and dense object groups, has stronger robustness, effectively improves the target detection efficiency, and reduces the hardware requirement.