摘要：本发明公开了一种原生高砷地下水分层监测和长期观测数据库创建方法，包括以下步骤：S1、在研究区域布置原生高砷地下水监测网；S2、对原生高砷地下水监测网实施分层监测和长期观测；S3、进行水文地质调查现场测试，水质全分析样品的采集、保存和测试；S4、将数据保存到规范化的地下水分层监测和长期观测调查表中；S5、根据不同年份的地下水分层监测和长期观测调查表，建设原生高砷地下水数据库；S6、根据数据库绘制地下水砷离子浓度空间分布图，以及地下水砷离子浓度与时间、水位埋深关系图。本发明可以采集研究区多个点位固定水井特定层

摘要：本发明公开了一种越流条件下地下水污染物迁移的模拟装置及使用方法，属于地下水污染模拟仪器设备技术领域，包括供压、供水、土柱和接样单元；供压单元包括出口设有减压阀的压力气瓶，供水单元包括可承压的密闭有机玻璃柱Ⅰ；土柱单元包括可承压的密闭有机玻璃柱Ⅱ，有机玻璃柱Ⅱ内设有模拟土柱，模拟土柱的顶部和底部为含水层沉积物，中部为弱透水层沉积物介质；接样单元包括稳水箱和标有刻度的取样器；减压阀、有机玻璃柱Ⅰ和有机玻璃柱Ⅱ通过导管依次连接，有机玻璃柱Ⅱ、稳水箱和取样器依次通过导管连通。本发明提供了地下水越流补给的高水头差和弱透水层的还原环境，越流水头差0-15m，操作简单，调节方便，试验数据更加准确、可靠。

摘要：本发明提供了一种超薄层羟镁铝石及其制备方法与应用。该制备方法以氧化镁、氢氧化铝和水为原材料在高速流体剪切力和强烈振动力的作用下，晶核的团聚受到抑制，在甲酰胺溶剂中通过机械振动，得到纳米片层结构的超薄层羟镁铝石材料。该材料为层状双羟基复合金属氢氧化物，片层厚度为10nm～20nm，其层间仅含有羟基，具有较大的比表面积和高度暴露的活性位点，而且在处理污染物的过程中不会产生二次污染，具有显著的优越性。对Cr(Ⅵ)的吸附去除率高达99.82％，吸附容量高达12.98mg/g。本发明提供的制备方法，具有原材料易得、操作简单，对设备要求低、能耗小和生产成本低等优点，产率高达92％以上，可实现规模化生产。

摘要：【中文】本发明涉及一种自采集能量发电储能式编织弹力袜,主要包括：柔性微纳米阵列弹性摩擦与压电复合发电式袜底、柔性微纳米弹性摩擦发电储能式袜面、三维多孔石墨烯复合同轴结构式柔性超级电容器、柔性弹性连接层、穿戴式外接电路按扣式插件口；三维多孔石墨烯复合同轴结构式柔性超级电容器编织装配在柔性微纳米弹性摩擦发电储能式袜面中；穿戴式外接电路按扣式插件口编织装配在柔性微纳米弹性摩擦发电储能式袜面的上端；柔性弹性连接层由柔性弹性连接线编织构成；柔性微纳米弹性摩擦发电储能式袜面通过柔性弹性连接层与柔性微纳米阵列弹性摩擦与压电复合发电式袜底相连接，并构成自采集能量发电储能式编织弹力袜。 【EN】The invention relates to a self-energy-collecting power-generating energy-storing type knitted elastic sock, which mainly comprises: the flexible micro-nano array elastic friction and piezoelectric composite power generation type sock bottom, the flexible micro-nano elastic friction power generation energy storage type sock surface, the three-dimensional porous graphene composite coaxial structure type flexible super capacitor, the flexible elastic connecting layer and the wearable external circuit snap-on type plug-in port; the three-dimensional porous graphene composite coaxial structural flexible supercapacitor is woven and assembled in the flexible micro-nano elastic friction power generation energy storage type sock surface; the wearable external circuit snap-button type plug-in port is woven and assembled at the upper end of the flexible micro-nano elastic friction power generation energy storage type sock surface; the flexible elastic connecting layer is formed by weaving flexible elastic connecting lines; the flexible micro-nano elastic friction power generation and energy storage type sock surface is connected with the piezoelectric composite power generation type sock bottom through the flexible elastic connecting layer and the flexible micro-nano array elastic friction, and the self-energy-collection power generation and energy storage type woven elastic sock is formed.

摘要：【中文】本发明公开了一种任意时空尺度径流变化定量归因技术方法、系统及装置，利用搜集的全球气象水文数据，得到不同时间尺度的下垫面特征参数值；其次，将改进的水热耦合平衡方程与径流变化平均绝对离差公式进行耦合，经全微分求解计算后，得到任意时空尺度下的径流变化归因方程；最后结合搜集到的气象水文数据、不同时间尺度的下垫面参数值，以及任意时空尺度下的径流变化归因方程，评估降水、潜在蒸发、陆地储水及下垫面特征变化对全球径流变化的影响。通过基于Budyko假设的长时间、流域尺度径流变化成因分析方法，推导至任意时空尺度径流变化归因方法，为揭示变化环境下不同时间尺度、不同流域或栅格尺度径流响应研究提供一种新的技术。 【EN】The invention discloses a runoff change quantitative attribution technical method, a system and a device of any space-time scale, which utilize collected global meteorological hydrological data to obtain characteristic parameter values of underlying surfaces of different time scales; secondly, coupling the improved hydrothermal coupling balance equation with a runoff change average absolute deviation formula, and obtaining a runoff change attribution equation under any space-time scale after full differential solution calculation; and finally, evaluating the influence of rainfall, potential evaporation, land water storage and the change of the characteristics of the underlying surface on the change of the global runoff by combining the collected meteorological hydrological data, the values of the underlying surface parameters of different time scales and the runoff change attribution equation under any space-time scale. A long-time watershed scale runoff change cause analysis method based on Budyko assumption is used for deducing an arbitrary space-time scale runoff change attribution method, so that a new technology is provided for revealing runoff response research of different time scales, different watersheds or grid scales under a change environment.

摘要：【中文】本发明公开了一种面向三维场景的矢量图标绘制方法及装置，本发明的矢量图标绘制方法包括：1)各种图标对象(规则/不规则)的定义；2)设计实现各图标对象的几何算法；3)绘制图标对像，保存其基本信息；4)针对各种图标对象进行编辑逻辑的设定。本发明包含规则和非规则两类图标绘制及编辑，可灵活扩展，适用于各类专业组合图元的绘制和编辑。本发明适用于桌面端、Web端、移动端各类型图标绘制场景，已在各端应用中实践。同时该方案虽为三维绘制，但可灵活扩展，适用于各类专业组合图元的绘制和编辑，亦可稍作调整适用于二维图标的绘制和编辑。该图标绘制算法成熟、稳定，已通过各大开源地图平台实际应用予以验证，具备较大推广价值。 【EN】The invention discloses a vector icon drawing method and a device for three-dimensional scenes, wherein the vector icon drawing method comprises the following steps: 1) definition of various icon objects (regular/irregular); 2) designing a geometric algorithm for realizing each icon object; 3) drawing the icon object and storing the basic information of the icon object; 4) the setting of the edit logic is performed for each icon object. The method comprises regular icon drawing and editing and irregular icon drawing and editing, can be flexibly expanded, and is suitable for drawing and editing various professional combined primitives. The method is suitable for drawing scenes of various types of icons at a desktop end, a Web end and a mobile end, and is practiced in application of each end. Meanwhile, the scheme is three-dimensional drawing, but can be flexibly expanded, is suitable for drawing and editing various professional combined primitives, and can also be slightly adjusted and suitable for drawing and editing two-dimensional icons. The icon drawing algorithm is mature and stable, is verified by practical application of each large-open-source map platform, and has a great popularization value.

摘要：【中文】本发明提供一种利用多次压汞实验表征页岩孔隙连通性的方法，包括以下步骤：S1、称取一定重量的样品，并对样品进行预处理；S2、对S1中经过预处理后的样品进行第一次压汞实验，第一次压汞实验结束后，分别获取样品不同孔隙直径对应的第一增量进汞体积；S3、对S2中经过第一次压汞实验后的样品进行第二次压汞实验，第二次压汞实验结束后，分别获取样品不同孔隙直径对应的第二增量进汞体积；S4、根据同一孔隙直径，将S2中得到的第一增量进汞体积与S3中得到的第二增量进汞体积进行做差处理，即可得到两次压汞实验后同一孔隙直径的残余汞量，所述残余汞量即用来表征样品的孔隙连通性。 【EN】The invention provides a method for representing shale pore connectivity by utilizing multiple mercury intrusion experiments, which comprises the following steps of: s1, weighing a sample with a certain weight, and preprocessing the sample; s2, carrying out a first mercury pressing experiment on the pretreated sample in the S1, and respectively obtaining first incremental mercury feeding volumes corresponding to different pore diameters of the sample after the first mercury pressing experiment is finished; s3, carrying out a second mercury pressing experiment on the sample subjected to the first mercury pressing experiment in the S2, and respectively obtaining second incremental mercury feeding volumes corresponding to different pore diameters of the sample after the second mercury pressing experiment is finished; and S4, according to the same pore diameter, performing difference processing on the first incremental mercury feeding volume obtained in the S2 and the second incremental mercury feeding volume obtained in the S3 to obtain the residual mercury amount of the same pore diameter after two mercury pressing experiments, wherein the residual mercury amount is used for representing the pore connectivity of the sample.

摘要：【中文】本发明公开了一种基于深度卷积神经网络的遥感影像红树林提取方法及系统，本发明首先对高分辨率的遥感影像进行预处理，包括遥感影像的大气校正与研究区域裁剪，对处理后的各波段进行波段运算以提取先验特征信息；应用多源数据融合实现多波段和特征信息的融合，构建数据集；训练并验证由卷积神经网络搭建的语义分类模型ME‑net；调用ME‑net模型实现红树林的自动分类，输出一个png格式的掩模文件，即为分类和提取的结果；通过长距离条件随机场对分类结果进行细调。本发明中的分类模型在应用中可通过扩展数据集使得分类精度达到92.3％，完全可以代替人工目视解译，为高精度影像地图的更新和滨海地区生态系统的保护提供辅助技术支持。 【EN】The invention discloses a remote sensing image mangrove forest extraction method and system based on a deep convolutional neural network, firstly preprocessing a remote sensing image with high resolution, including atmospheric correction and research area cutting of the remote sensing image, and carrying out wave band operation on each processed wave band to extract prior characteristic information; fusion of multiband and characteristic information is realized by applying multi-source data fusion, and a data set is constructed; training and verifying a semantic classification model ME-net built by a convolutional neural network; calling an ME-net model to realize automatic classification of mangroves, and outputting a png-format mask file which is a classification and extraction result; and fine-tuning the classification result through a long-distance conditional random field. The classification model can ensure that the classification precision reaches 92.3 percent by expanding the data set in application, can completely replace manual visual interpretation, and provides auxiliary technical support for updating a high-precision image map and protecting an ecosystem of a coastal region.

摘要：【中文】本发明提供了一种基于NB‑IOT的智能车库系统，包括用户终端、中央处理器、NB‑IOT模块和车库车辆移动模块；车库车辆移动模块，用来控制车辆移动；该车库车辆移动模块包括距离传感器、速度传感器和车辆牵引系统；距离传感器用来检测车辆的移动距离；速度传感器用来检测车辆的移动速度；车辆牵引系统用来控制车辆移动，中央处理器根据用户终端传输的存车号代表的存车位置，向车辆牵引系统发送移车指令，进而对车辆进行泊车处理或者是取车处理。本发明的有益效果是：占地面积少，提供了更多的停车位，传输过程采用NB‑IOT通讯技术，有效地解决了无宽带网络或移动数据信号差的情况下不能有效传输监测信息和移车指令等而导致的不能有效停取车的问题。 【EN】The invention provides an intelligent garage system based on NB-IOT, which comprises a user terminal, a central processing unit, an NB-IOT module and a garage vehicle moving module, wherein the NB-IOT module is connected with the user terminal; the garage vehicle moving module is used for controlling the vehicle to move; the garage vehicle moving module comprises a distance sensor, a speed sensor and a vehicle traction system; the distance sensor is used for detecting the moving distance of the vehicle; the speed sensor is used for detecting the moving speed of the vehicle; the vehicle traction system is used for controlling the vehicle to move, and the central processing unit sends a vehicle moving instruction to the vehicle traction system according to the vehicle parking position represented by the vehicle parking number transmitted by the user terminal, so that the vehicle is parked or picked up. The invention has the beneficial effects that: the parking space is small in occupied area, more parking spaces are provided, the NB-IOT communication technology is adopted in the transmission process, and the problem that the vehicle can not be effectively parked and taken due to the fact that monitoring information and vehicle moving instructions cannot be effectively transmitted under the condition that no broadband network exists or mobile data signals are poor is effectively solved.

摘要：【中文】本发明公开了一种基于k‑means与水平集超像素分割的图像显著性目标检测方法，该方法使用水平集图像分割与k‑means聚类相结合的方法，将给定目标图像分割为多个具有相似特征的超像素区域，以抽象图像中不必要的细节，然后使用直方图加速的方法量化所有超像素内的颜色特征，减少颜色数量，提高计算效率，全局对比所有超像素区域在Lab色彩空间下的距离和平面空间的距离计算区域显著值，并结合背景先验和多尺度空间融合进一步优化检测效果。对于后期的机器视觉处理具有重要的意义，而且其成本远低于后续的复杂图像处理。 【EN】The invention discloses an image significance target detection method based on k-means and level set super-pixel segmentation, which uses a method combining level set image segmentation and k-means clustering to segment a given target image into a plurality of super-pixel regions with similar characteristics so as to abstract unnecessary details in the image, then uses a histogram acceleration method to quantize color characteristics in all super-pixels, reduces the number of colors, improves the calculation efficiency, globally compares the distances of all super-pixel regions in Lab color space and the distance of plane space to calculate region significance values, and further optimizes the detection effect by combining background prior and multi-scale space fusion. The method has important significance for the subsequent machine vision processing, and the cost is far lower than that of the subsequent complex image processing.