摘要：【中文】本发明提供一种像素电极结构及阵列基板。阵列基板包括像素电极结构，像素电极结构包括电极框、第一主干电极、第二主干电极以及多个枝干电极；第一主干电极与第二主干电极设于电极框围绕形成的像素区内且其两端分别与电极框电性连接，两者相交形成多个液晶配向区；各个枝干电极的一端与电极框电性连接，其另一端与第一主干电极和第二主干电极相离设置，分布在同一液晶配向区中的各个枝干电极彼此平行。本发明使得在不同方向的透明枝干电极与主干电极的交界处的液晶可互不干扰地倒向两侧，避免了液晶交错，实现了不会出现“十字”暗纹并产生色偏的技术效果。 【EN】The invention provides a pixel electrode structure and an array substrate. The array substrate comprises a pixel electrode structure, wherein the pixel electrode structure comprises an electrode frame, a first main electrode, a second main electrode and a plurality of branch electrodes; the first main electrode and the second main electrode are arranged in a pixel area formed by the electrode frame in a surrounding mode, two ends of the first main electrode and the second main electrode are electrically connected with the electrode frame respectively, and the first main electrode and the second main electrode are intersected to form a plurality of liquid crystal alignment areas; one end of each branch electrode is electrically connected with the electrode frame, the other end of each branch electrode is arranged away from the first main electrode and the second main electrode, and the branch electrodes distributed in the same liquid crystal alignment area are parallel to each other. The invention enables the liquid crystals at the junction of the transparent branch electrodes and the main electrode in different directions to fall to two sides without mutual interference, avoids liquid crystal interlacing and realizes the technical effects of no cross dark stripes and color cast.

摘要：【中文】本发明公开一种一种显著性增强的线条画自动生成方法，包括以下步骤：(1)图像的预处理；(2)实现显著性增强的线条提取；(3)对线条画进行显著性增强，具体包括以下处理：将线条画表示为线条的集合，并根据是否位于边界处将线条分为两类，分别对每一类线条根据显著性图和梯度信息来为每条线条计算一个显著性值，并删除显著性值低于某个阈值的线条以简化线条画；(4)进行透明度调整，具体包括以下处理：对每一个像素点计算高斯滤波窗口的大小，对所有像素点根据对应的窗口大小进行滤波；最终得到显著性增强的线条画。本发明能够更好地应用于线条画生成中，生成更好地结果。 【EN】The invention discloses a saliency-enhanced line drawing automatic generation method, which comprises the following steps: (1) preprocessing an image; (2) line extraction with significant enhancement is realized; (3) performing significance enhancement on the line drawing, specifically comprising the following steps: representing the line drawing as a set of lines, dividing the lines into two types according to whether the lines are positioned at the boundary, respectively calculating a significance value for each type of line according to a significance map and gradient information, and deleting the lines with the significance value lower than a certain threshold value so as to simplify the line drawing; (4) performing transparency adjustment, specifically comprising the following steps: calculating the size of a Gaussian filter window for each pixel point, and filtering all the pixel points according to the corresponding window size; finally obtaining the line painting with obviously enhanced performance. The method can be better applied to the generation of the line drawing, and a better result is generated.

摘要：【中文】本说明书实施例提供一种针对交易场景的用户身份识别方法和装置，方法包括：获取目标用户到目标商户进行交易时采集的目标用户的目标生物信息；查找与目标生物信息最相似的多个存储生物信息，将多个存储生物信息分别对应的用户作为目标用户的候选用户；根据针对关系网络图预先训练的图神经网络模型，确定各候选用户分别对应的各第一节点嵌入向量，以及目标商户对应的第二节点嵌入向量；根据各第一节点嵌入向量和第二节点嵌入向量，确定各候选用户到目标商户的各交易概率中的最大交易概率；当最大交易概率大于预设阈值时，将最大交易概率对应的候选用户确定为目标用户。能够提高交易场景中用户身份识别的准确性。 【EN】The embodiment of the specification provides a user identity identification method and a user identity identification device for a transaction scene, wherein the method comprises the following steps: acquiring target biological information of a target user acquired when the target user carries out transaction to a target merchant; searching a plurality of pieces of stored biological information which are most similar to the target biological information, and taking users corresponding to the plurality of pieces of stored biological information as candidate users of the target user; determining each first node embedded vector corresponding to each candidate user and a second node embedded vector corresponding to a target merchant according to a graph neural network model trained in advance aiming at the relational network graph; determining the maximum transaction probability of the transaction probabilities from each candidate user to the target merchant according to each first node embedded vector and each second node embedded vector; and when the maximum transaction probability is larger than a preset threshold value, determining the candidate user corresponding to the maximum transaction probability as the target user. The accuracy of user identification in a transaction scene can be improved.

摘要：【中文】本发明实施例公开了一种多局部放电源射频监测方法和装置，所述方法包括：利用天线阵列采集局部放电射频信号；对所述射频信号进行模式转换，获得数字信号；对所述数字信号进行盲信号处理，确定所述多局部放电源的故障信息。实现敞开式变电站多局部放电源射频信号在线监测。 【EN】The embodiment of the invention discloses a radio frequency monitoring method and a radio frequency monitoring device for multiple partial discharge sources, wherein the method comprises the following steps: collecting partial discharge radio frequency signals by using an antenna array; carrying out mode conversion on the radio frequency signal to obtain a digital signal; and carrying out blind signal processing on the digital signals, and determining fault information of the multiple partial discharge sources. And the on-line monitoring of the radio frequency signals of the multiple partial discharge sources of the open-type transformer substation is realized.

摘要：【中文】本说明书实施例提供了一种预测模型训练和用户资源额度确定方法及装置。在预测模型训练阶段，基于分享关系图谱，得到第一用户的第一关系特征，至少基于第一关系特征得到第一特征数据，将第一特征数据和第一资源额度输入预测模型，预测模型输出第一用户针对第一资源额度的分享行为的预测数据，将预测数据与标准数据进行比较得到第一预测损失，向使得第一预测损失减小的方向，更新预测模型。在确定用户资源额度阶段，将基于分享关系图谱得到的第二用户的特征数据和多个不同档位资源额度输入预测模型，预测模型可以输出第二用户针对不同档位资源额度的分享行为数据，根据分享行为数据对不同档位资源额度进行选择，得到针对第二用户分配的资源额度。 【EN】The embodiment of the specification provides a prediction model training and user resource limit determining method and device. In the prediction model training stage, a first relation characteristic of a first user is obtained based on a sharing relation map, first characteristic data is obtained at least based on the first relation characteristic, the first characteristic data and a first resource amount are input into a prediction model, the prediction model outputs prediction data of a sharing behavior of the first user aiming at the first resource amount, the prediction data is compared with standard data to obtain a first prediction loss, and the prediction model is updated in the direction of reducing the first prediction loss. And in the stage of determining the resource limit of the user, inputting the characteristic data of the second user and the resource limits of a plurality of different gears, which are obtained based on the sharing relationship map, into a prediction model, wherein the prediction model can output sharing behavior data of the second user aiming at the resource limits of different gears, and the resource limits of different gears are selected according to the sharing behavior data to obtain the resource limit distributed aiming at the second user.

摘要：【中文】本申请公开了一种载货无人机及其检测货物掉落的方法和装置，其中，载货无人机包括无人机和用于装载货物的货仓，无人机与货仓可拆卸连接，该方法通过获取载货飞行过程中无人机的垂向加速度和垂向动力；根据垂向加速度确定无人机的飞行姿态，并确定与该飞行姿态对应的动力学方程；根据动力学方程以及垂向动力计算载货无人机的观测重力；根据观测重力判断货物是否掉落。本申请的有益效果在于：在不对现有的载货无人机进行改造的情况下，能够检测载货无人机在各种飞行姿态下是否发生货物掉落，适用范围广，实施成本低，且方法简单，实用性强，检测方式灵活，检测精度高。 【EN】The application discloses a cargo-carrying unmanned aerial vehicle and a method and a device for detecting falling of cargos, wherein the cargo-carrying unmanned aerial vehicle comprises an unmanned aerial vehicle and a cargo bin for loading cargos, the unmanned aerial vehicle is detachably connected with the cargo bin, and the method comprises the steps of acquiring the vertical acceleration and the vertical power of the unmanned aerial vehicle in the cargo-carrying flying process; determining the flight attitude of the unmanned aerial vehicle according to the vertical acceleration, and determining a kinetic equation corresponding to the flight attitude; calculating the observation gravity of the cargo-carrying unmanned aerial vehicle according to a kinetic equation and vertical power; and judging whether the goods fall or not according to the observation gravity. The beneficial effect of this application lies in: under the condition that current unmanned aerial vehicle that carries cargo is not reformed transform, can detect that the unmanned aerial vehicle that carries cargo whether take place the goods under various flight gestures and drop, application scope is wide, and the implementation cost is low, and the method is simple, and the practicality is strong, and the detection mode is nimble, detects the precision height.

摘要：【中文】本发明提供了一种中药材切片检测方法，属于中药材加工技术领域。本发明是为了解决人工判定的技术中存在的速度慢、准确度差、覆盖范围小问题，进而提供一种中药材切片检测方法，它基于机器学习、深度学习开发的一种检测技术，通过对机器进行训练，让机器具备对中药材切片厚度达到一定程度的认知，能够做到随便给一个切片后的中药材，机器通过摄像头去拍照识别后，能够迅速做出反应，识别药材厚度，且误差小，测速度更快，效率更高，精准度也有很大的提高，极大地降低了生产成本，经济效益得到明显提升。 【EN】The invention provides a traditional Chinese medicine slicing detection method, and belongs to the technical field of traditional Chinese medicine processing. The invention aims to solve the problems of low speed, poor accuracy and small coverage range in the manual judgment technology, and further provides a traditional Chinese medicine slicing detection method, which is based on a detection technology developed by machine learning and deep learning, and by training a machine, the machine has the cognition of the slicing thickness of the traditional Chinese medicine to a certain degree, so that the sliced traditional Chinese medicine can be conveniently provided, and after the machine takes a picture and identifies through a camera, the machine can quickly respond to identify the thickness of the traditional Chinese medicine, has small error, higher speed measurement speed, higher efficiency and greatly improved accuracy, greatly reduces the production cost and obviously improves the economic benefit.

摘要：【中文】本申请实施例提供一种数据处理方法、装置及计算设备，其中，确定待替换原函数及所述原函数对应的目标函数；从在内存创建的至少一个函数桩中选择一未分配函数桩，并确定所述未分配函数桩对应的第一内存地址；其中，所述第一内存地址关联的第二内存地址用以在调用所述原函数时写入所述目标函数的函数地址；建立所述原函数与所述第一内存地址的对应关系；其中，所述对应关系用于调用所述原函数时查找所述原函数对应的函数桩；所述原函数对应的函数桩用于从所述第二内存地址中获取所述函数地址，并基于所述函数地址调用所述目标函数。本申请实施例提供的技术方案实现了有效的、高性能的函数替换。 【EN】The embodiment of the application provides a data processing method, a data processing device and computing equipment, wherein a primary function to be replaced and a target function corresponding to the primary function are determined; selecting an unallocated function stub from at least one function stub created in a memory, and determining a first memory address corresponding to the unallocated function stub; the second memory address associated with the first memory address is used for writing the function address of the target function when the original function is called; establishing a corresponding relation between the primitive function and the first memory address; the corresponding relation is used for searching a function stub corresponding to the original function when the original function is called; and the function stub corresponding to the original function is used for acquiring the function address from the second memory address and calling the target function based on the function address. The technical scheme provided by the embodiment of the application realizes effective and high-performance function replacement.

摘要：【中文】本发明提供一种智能不锈钢波纹管焊接工艺及设备，该工艺步骤如下：设备前端设置视觉成像装置对未焊接不锈钢波纹管焊口进行扫描成像；控制系统识别获取图像，并绘制不锈钢波纹管的焊缝路径；焊机臂接受控制系统命令，驱动焊机臂伺服电机沿着不锈钢波纹管的焊缝路径执行焊接命令；同时焊机臂的检测成像设备实时对焊机头及焊缝进行检测，焊机设备尾端设置温度检测装置，对焊接口进行温度检测。本发明采用智能焊接检测技术，提升不锈钢波纹管焊接的安全性和稳定性。 【EN】The invention provides an intelligent stainless steel corrugated pipe welding process and equipment, wherein the process comprises the following steps: the front end of the equipment is provided with a visual imaging device for scanning and imaging the welded junction of the unwelded stainless steel corrugated pipe; the control system identifies and acquires an image and draws a welding seam path of the stainless steel corrugated pipe; the welding machine arm is connected with the command of the control system and drives the welding machine arm servo motor to execute the welding command along the welding seam path of the stainless steel corrugated pipe; meanwhile, the detection imaging device of the welding machine arm detects the welding machine head and the welding seam in real time, and the tail end of the welding machine is provided with a temperature detection device for detecting the temperature of the welding seam. The invention adopts an intelligent welding detection technology to improve the safety and stability of the welding of the stainless steel corrugated pipe.

摘要：【中文】本发明涉及一种变电站站内元件差动保护方法及系统，其特征在于，包括以下步骤：1)分别建立变电站各站内元件对应的Agent构成Agent系统；2)每一Agent均建立对应主保护区域和后备保护区域；3)每一Agent均采集与对应主保护区域和后备保护区域内站内元件相连线路上的电流信号；4)每一Agent均采用差动算法A，判断对应后备保护区域是否发生故障；5)每一Agent均采用差动算法A，判断对应主保护区域是否发生故障；6)若后备保护区域发生故障且主保护区域没有发生故障，则Agent发送跳闸决策信号至与主保护区域内站内元件相连的线路；7)Agent采用差动算法B，判断该相连线路是否跳开，完成变电站站内元件的差动保护，本发明可以广泛应用于电网保护技术领域中。 【EN】The invention relates to a differential protection method and a differential protection system for elements in a substation, which are characterized by comprising the following steps of: 1) respectively establishing an Agent system formed by agents corresponding to elements in each station of the transformer substation; 2) each Agent establishes a corresponding main protection area and a corresponding backup protection area; 3) each Agent collects current signals on lines connected with the elements in the station in the corresponding main protection area and the corresponding backup protection area; 4) each Agent adopts a differential algorithm A to judge whether a corresponding backup protection area has a fault; 5) each Agent adopts a differential algorithm A to judge whether the corresponding main protection area has a fault; 6) if the backup protection area has a fault and the main protection area has no fault, the Agent sends a tripping decision signal to a line connected with an intra-station element in the main protection area; 7) the Agent adopts a differential algorithm B to judge whether the connected line is tripped or not to complete the differential protection of elements in the substation.