摘要：【中文】本申请涉及自动化测试技术领域，尤其涉及一种自动化测试方法、装置、存储介质及设备，其中，所述自动化测试方法，包括：根据接收到的测试指令对目标程序进行UI测试，监听并获取进行UI测试时触发的接口信息及测试数据；将所述测试数据输入到对应的接口中进行接口测试，获得接口测试结果；根据所述接口测试结果确定对应的当前显示页面；调取所述测试数据对应的期望页面，对比所述当前显示页面与期望页面；根据对比结果获取自动化测试结果。本申请提供的方案，在一个框架中完成UI自动化测试的过程中同时完成其对应接口自动化的测试，避免了数据冗余及数据的重复获取，提升了自动化测试效率。 【EN】The present application relates to the field of automated testing technologies, and in particular, to an automated testing method, an automated testing apparatus, a storage medium, and an automated testing device, where the automated testing method includes: carrying out UI test on a target program according to a received test instruction, monitoring and acquiring interface information and test data triggered when the UI test is carried out; inputting the test data into a corresponding interface for interface test to obtain an interface test result; determining a corresponding current display page according to the interface test result; calling an expected page corresponding to the test data, and comparing the current display page with the expected page; and obtaining an automatic test result according to the comparison result. According to the scheme, the automatic test of the corresponding interface is completed simultaneously in the process of completing the automatic test of the UI in one frame, the data redundancy and the repeated acquisition of the data are avoided, and the automatic test efficiency is improved.

摘要：【中文】本发明属于知识图谱的表示学习和本体构建的技术领域，具体涉及一种基于线性规划的本体包含公理学习方法，包括构建表示学习模型SetE，将知识图谱Abox的实体数据、类型数据及关系数据输入表示学习模型SetE，计算类型数据之间的包含关系，提取包含关系形成公理。本发明可以用线性表示学习模型来捕捉谓词特征，并且通过把包含关系归纳和约简成线性规划来获得本体包含关系，对于知识图谱不完整的情况下仍然可以高效地学习出相应的本体。 【EN】The invention belongs to the technical field of representation learning and ontology construction of knowledge maps, and particularly relates to an ontology axiom learning method based on linear programming. The invention can capture predicate characteristics by using a linear representation learning model, and obtain ontology inclusion relation by inducing and reducing the inclusion relation into a linear plan, and can effectively learn the corresponding ontology under the condition of incomplete knowledge graph.

摘要：【中文】本发明公开了一种基于多粒度语义解析的行人重识别方法及存储介质，包括训练步骤和测试步骤，所述训练步骤包括：利用人体语义解析算法将训练样本中的行人图像解析为多个粒度的语义区域的行人图像，其中至少一个粒度包含不同语义区域之间的过渡信息；将每个语义区域的行人图像输入到对应的卷积神经网络中，对每个语义区域进行分类训练，得到每个语义区域的分类器；利用所述分类器对相应的语义区域的行人图像进行特征提取，将提取到的特征进行特征融合，得到行人特征描述子；所述测试步骤包括：利用训练步骤得到的所述分类器和所述行人特征描述子对测试样本的行人图像进行行人重识别。本发明通过多粒度的人体语义解析方式实现语义的高度对齐，并且充分利用人体语义区域之间的过渡性信息，识别精确度高。 【EN】The invention discloses a pedestrian re-identification method based on multi-granularity semantic analysis and a storage medium, comprising a training step and a testing step, wherein the training step comprises the following steps: analyzing the pedestrian images in the training sample into pedestrian images in semantic regions with a plurality of granularities by utilizing a human body semantic analysis algorithm, wherein at least one granularity comprises transition information between different semantic regions; inputting the pedestrian image of each semantic area into a corresponding convolutional neural network, and performing classification training on each semantic area to obtain a classifier of each semantic area; performing feature extraction on the pedestrian image in the corresponding semantic region by using the classifier, and performing feature fusion on the extracted features to obtain a pedestrian feature descriptor; the testing step comprises: and carrying out pedestrian re-identification on the pedestrian image of the test sample by utilizing the classifier and the pedestrian feature descriptor obtained in the training step. The invention realizes high semantic alignment by a multi-granularity human semantic analysis mode, fully utilizes transitional information among human semantic regions and has high identification accuracy.

摘要：【中文】本发明涉及管道配件技术领域，公开了一种玻璃钢管支撑工装，包括连接板以及支撑件，所述连接板的一侧为与所述支撑件固定连接的固定部，所述连接板的另一侧为与所述法兰相连接的连接部，所述连接部的边缘设有与所述玻璃钢管形状相配适的圆弧面，所述连接部的中部设有用于连接在所述法兰上螺栓的连接孔。通过所述圆弧面匹配不同半径的所述玻璃钢管，通过所述连接孔与法兰上的螺栓固定连接，使得所述连接板固定在所述法兰上，对所述连接板的朝向位置进行摆放，以适应机舱内不同结构，再通过所述支撑件固定在机舱内，使玻璃钢管安装时在机舱内找到合适的结构就可以进行支撑安装，玻璃钢管安装更为简单灵活。 【EN】The invention relates to the technical field of pipeline fittings and discloses a glass steel tube supporting tool which comprises a connecting plate and a supporting piece, wherein one side of the connecting plate is a fixing part fixedly connected with the supporting piece, the other side of the connecting plate is a connecting part connected with a flange, the edge of the connecting part is provided with an arc surface matched with the shape of the glass steel tube, and the middle part of the connecting part is provided with a connecting hole for connecting a bolt on the flange. Through the arc surface matches different radiuses FRP pipe, through bolt fixed connection on connecting hole and the flange makes the connecting plate is fixed on the flange, right the orientation position of connecting plate is put to adapt to different structures in the cabin, the rethread support piece is fixed in the cabin, finds suitable structure in the cabin and just can support the installation when making FRP pipe installation, and FRP pipe installation is more simple nimble.

摘要：【中文】本发明涉及天然气液化技术领域，特别涉及一种联产LNG和NGL的三循环混合冷剂天然气液化方法，该方法用于将预处理的天然气和第一混合冷剂、第二混合冷剂、第三混合冷剂分别在板翅式换热器中换热。本发明还提供一种联产LNG和NGL的三循环混合冷剂天然气液化的装置。本发明提供的联产LNG和NGL的三循环混合冷剂天然气液化方法，将通过预处理单元C₂⁺组分较高的高压天然气和三种混合制冷剂在冷箱换热器中换热，将天然气液化为液化天然气，并在此过程中回收天然气凝液。 【EN】The invention relates to the technical field of natural gas liquefaction, in particular to a three-cycle mixed refrigerant natural gas liquefaction method for coproducing LNG and NGL. The invention also provides a device for liquefying the natural gas by using the three-cycle mixed refrigerant for coproducing the LNG and the NGL. The three-cycle mixed refrigerant natural gas liquefaction method for coproducing LNG and NGL provided by the invention passes through the pretreatment unit C₂⁺High-pressure natural gas with high components and three mixed refrigerants exchange heat in a cold box heat exchanger to liquefy the natural gas into liquefied natural gas, and natural gas condensate is recovered in the process.

摘要：【中文】本发明提出了一种SDN带内控制网络的流表数量优化方法，该方法将网络中的交换机分组，每个组分配一个特定标签标识，通过把流表的匹配域由IP地址改为标签，实现控制网络的标签转发，减少了带内控制网络的流表数量。SDN带内控制网络的流表数量优化方法主要由分组算法模块、标签分配模块、标签转发模块组成，分组算法模块依据距控制器的跳数实现交换机的分组，标签分配模块根据分组情况为每一个分组分配标签，标签转发模块生成标签转发用的流表。本发明解决了大规模网络中控制流流表过多的问题，提高了交换机流表资源的使用效率。 【EN】The invention provides a flow table quantity optimization method of an SDN in-band control network, which groups switches in the network, allocates a specific label identifier for each group, changes an IP address of a matching domain of a flow table into a label, realizes label forwarding of the control network, and reduces the flow table quantity of the in-band control network. The flow table quantity optimization method of the SDN in-band control network mainly comprises a grouping algorithm module, a label distribution module and a label forwarding module, wherein the grouping algorithm module realizes grouping of switches according to the hop number from a controller, the label distribution module distributes labels to each group according to the grouping condition, and the label forwarding module generates a flow table for label forwarding. The invention solves the problem of excessive control flow tables in a large-scale network and improves the use efficiency of switch flow table resources.

摘要：【中文】本发明公开了一种基于移动终端的医疗大数据信息传输方法，包括如下步骤：由移动终端获取医疗大数据；由第一WiFi接入点向移动终端发送第一反向传输信道调度；由第二WiFi接入点向移动终端发送第二反向传输信道调度；由移动终端基于第一反向传输信道调度通知的用于反向传输信道消息的OFDM时频块的大小和第二反向传输信道调度通知的用于反向传输信道消息的OFDM时频块的大小，将医疗大数据划分为第一多个数据包和第二多个数据包；由移动终端利用第一反向传输信道调度指示的反向传输信道消息的OFDM时频块向第一WiFi接入点发送第一多个数据包；由移动终端利用第二反向传输信道调度指示的反向传输信道消息的OFDM时频块向第二WiFi接入点发送第二多个数据包。 【EN】The invention discloses a medical big data information transmission method based on a mobile terminal, which comprises the following steps: acquiring medical big data by a mobile terminal; transmitting, by the first WiFi access point, a first reverse transport channel schedule to the mobile terminal; sending, by the second WiFi access point, a second reverse transmission channel schedule to the mobile terminal; dividing, by the mobile terminal, the medical big data into a first plurality of data packets and a second plurality of data packets based on a size of an OFDM time-frequency block for the reverse transmission channel message of the first reverse transmission channel scheduling notification and a size of an OFDM time-frequency block for the reverse transmission channel message of the second reverse transmission channel scheduling notification; transmitting, by the mobile terminal, a first plurality of data packets to the first WiFi access point using the OFDM time-frequency block of the reverse transport channel message indicated by the first reverse transport channel schedule; and transmitting, by the mobile terminal, the second plurality of data packets to the second WiFi access point using the OFDM time-frequency block of the reverse transport channel message indicated by the second reverse transport channel schedule.