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1:
[发明]
【中文】数据处理方法、装置、电子设备及计算机可读存储介质 【EN】Data processing method and device, electronic equipment and computer readable storage medium
申请号:
201911143410.0
公开号:CN110930115A 主分类号:G06Q10/10
申请人:
【中文】拉扎斯网络科技(上海)有限公司【EN】Lazars Network Technology (Shanghai) Co., Ltd.
申请日:2019.11.20 公开日:2020.03.27
发明人:
【中文】曹晶
晶【EN】Cao Jingjing
摘要:【中文】本公开实施例公开了一种数据处理方法、装置、电子设备及计算机可读存储介质,所述数据处理方法包括:响应于目标事件被触发,获取所述目标事件触发信息,根据所述目标事件触发信息确定与所述目标事件相关联的关联事件,并获取所述关联事件的触发信息;确定所述目标事件触发信息与所述关联事件触发信息之间的匹配度;当所述匹配度符合预设标准时,确定所述目标事件触发信息符合预设条件。该技术方案实现了信息处理任务合法性和合理性的联合判断、信息处理任务的自动执行,从而大大降低了人工成本,大大提高了信息处理效率,同时还提高了信息处理的准确性。 【EN】The embodiment of the disclosure discloses a data processing method, a data processing device, an electronic device and a computer readable storage medium, wherein the data processing method comprises the following steps: responding to a target event to be triggered, acquiring target event triggering information, determining a related event related to the target event according to the target event triggering information, and acquiring triggering information of the related event; determining the matching degree between the target event trigger information and the associated event trigger information; and when the matching degree meets a preset standard, determining that the target event trigger information meets a preset condition. The technical scheme realizes the joint judgment of the legality and the rationality of the information processing task and the automatic execution of the information processing task, thereby greatly reducing the labor cost, greatly improving the information processing efficiency and simultaneously improving the accuracy of information processing.
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2:
[发明]
【中文】用户界面自动化测试方法、装置、存储介质及电子设备 【EN】User interface automatic testing method and device, storage medium and electronic equipment
申请号:
201911143657.2
公开号:CN111026645A 主分类号:G06F11/36
申请人:
【中文】航天信息股份有限公司【EN】AISINO CORPORATION Inc.
申请日:2019.11.20 公开日:2020.04.17
发明人:
【中文】曹晶
晶
;
吴旭【EN】Cao Jingjing
;
Wu Xu
摘要:【中文】本公开涉及一种用户界面自动化测试方法、装置、存储介质及电子设备,用于解决现有技术中进行用户界面自动化测试效率不高的技术问题。该方法包括:在测试客户端满足测试触发条件时,向测试服务端发送服务请求;获取测试服务端返回的响应信息,该响应信息包括针对服务请求生成的应答报文;将应答报文进行本地解析得到响应字段数据,并根据应答报文输出目标用户界面,该目标用户界面包括显示的元素字段数据;将响应字段数据、元素字段数据分别与预设的期望字段数据进行一致性比对,得到第一比对结果和第二比对结果;基于所述第一比对结果以及第二比对结果可以确定是否发生测试异常。 【EN】The disclosure relates to a user interface automatic test method, a user interface automatic test device, a storage medium and electronic equipment, which are used for solving the technical problem that in the prior art, the user interface automatic test efficiency is not high. The method comprises the following steps: when the test client meets the test triggering condition, sending a service request to a test server; acquiring response information returned by the test server, wherein the response information comprises a response message generated aiming at the service request; the response message is locally analyzed to obtain response field data, and a target user interface is output according to the response message, wherein the target user interface comprises displayed element field data; respectively carrying out consistency comparison on the response field data and the element field data with preset expected field data to obtain a first comparison result and a second comparison result; whether a test abnormality occurs can be determined based on the first comparison result and the second comparison result.
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3:
[发明]
【中文】一种基于中央随机的控索性软件测试方法及装置 【EN】Method and device for testing cable control software based on central random
申请号:
201911386029.7
公开号:CN111209190A 主分类号:G06F11/36
申请人:
【中文】航天信息股份有限公司【EN】AISINO CORPORATION Inc.
申请日:2019.12.29 公开日:2020.05.29
发明人:
【中文】吴旭
;
曹晶晶【EN】Wu Xu
;
Cao Jingjing
摘要:【中文】本发明公开了一种基于中央随机的控索性软件测试方法及装置,包括:对原始缺陷数据进行筛选,获取缺陷数据集,使用静态随机算法对缺陷数据集中的每条缺陷进行随机编号,将所述随机编号与测试执行人员编号进行映射,根据所述映射关系进行测试任务派发;收集所述测试任务的测试结果及对应的新发现的缺陷,根据所述测试结果及缺陷设计测试用例和测试数据,解决现有的软件测试方法测试覆盖路径不到位、测试数据组织不全面的问题。 【EN】The invention discloses a method and a device for testing cable control software based on central random, comprising the following steps: screening original defect data to obtain a defect data set, randomly numbering each defect in the defect data set by using a static random algorithm, mapping the random number and a test executive member number, and dispatching a test task according to the mapping relation; and collecting the test result of the test task and the corresponding newly found defect, and designing a test case and test data according to the test result and the defect, thereby solving the problems of incomplete test coverage path and incomplete test data organization in the conventional software test method.
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4:
[发明]
【中文】一种基于物联网的学校直饮水卫生监管系统 【EN】School direct drinking water sanitation supervision system based on Internet of things
申请号:
201911014404.5
公开号:CN110851686A 主分类号:G06F16/953
申请人:
【中文】广州水杯子分质供水工程有限公司【EN】Guangzhou shuibeizi dual water supply Engineering Co. Ltd.
申请日:2019.10.24 公开日:2020.02.28
发明人:
【中文】曹晶
晶
;
林建杰
;
董平【EN】Cao Jingjing
;
Lin Jianjie
;
Dong Ping
摘要:【中文】本发明公开了一种基于物联网的学校直饮水卫生监管系统,是应用于包含局域网的学校直饮水设备环境中,其特点是所述学校直饮水卫生监管系统包括感知模块、无线通讯模块、应用模块及数据管理模块。卫生监督人员通过手持终端快速识别扫描直饮水设备上的RFID标签,读取RFID标签中的识别号信息。根据RFID识别,通过学校直饮水卫生监管信息管理系统检索学校直饮水设备卫生许可数据库,判断是否存在与识别号相匹配的数据。根据手持终端显示的信息数据,对现场直饮水设备的相关信息进行核实,并根据现场监督检查的实际情况制作监督检查笔录,并通过手持终端将现场卫生监督结果上传至学校直饮水卫生监管信息管理系统,形成学校直饮水卫生监督历史监管数据库。 【EN】The invention discloses a school direct drinking water sanitation supervision system based on the Internet of things, which is applied to a school direct drinking water equipment environment comprising a local area network and is characterized by comprising a sensing module, a wireless communication module, an application module and a data management module. The health supervision personnel can rapidly identify and scan the RFID label on the direct drinking water equipment through the handheld terminal and read the identification number information in the RFID label. According to RFID identification, a school direct drinking water sanitation supervision information management system retrieves a school direct drinking water equipment sanitation permission database and judges whether data matched with the identification number exist. According to the information data displayed by the handheld terminal, relevant information of the on-site direct drinking water equipment is verified, a supervision and inspection record is made according to the actual situation of on-site supervision and inspection, and the on-site health supervision result is uploaded to a direct drinking water health supervision information management system through the handheld terminal to form a direct drinking water health supervision historical supervision database of the school.
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5:
[发明]
【中文】一种基于单目图像的3D目标检测方法 【EN】3D target detection method based on monocular image
申请号:
201911226974.0
公开号:CN111046767A 主分类号:G06K9/00
申请人:
【中文】武汉大学【EN】WUHAN University
申请日:2019.12.04 公开日:2020.04.21
发明人:
【中文】李明
;
樊一帆
;
曹晶【EN】Li Ming
;
Fan Yifan
;
Cao Jing
摘要:【中文】本发明涉及一种基于单目图像的3D目标检测方法。首先充分利用标注好的数据集以及标定好的相机投影矩阵,得到2D,3D的先验锚框;利用预训练的深度卷积网络作为基础网络提取图像中的语义信息;利用三路并行的卷积模块,得到2D,3D框的各个成分输出,三路输出使用自学习权重参数进行融合;采用多任务损失函数平衡不同任务以及同一任务中不同成分的损失,得到精确的2D,3D框。该发明仅通过单目图像实现3D目标检测,成本低,效果好,可以广泛应用于无人驾驶领域。 【EN】The invention relates to a 3D target detection method based on a monocular image. Firstly, a marked data set and a calibrated camera projection matrix are fully utilized to obtain a 2D and 3D prior anchor frame; extracting semantic information in the image by using a pre-trained deep convolutional network as a basic network; obtaining each component output of the 2D and 3D frames by utilizing three paths of parallel convolution modules, and fusing the three paths of outputs by using self-learning weight parameters; and balancing the loss of different tasks and different components in the same task by adopting a multi-task loss function to obtain accurate 2D and 3D frames. The invention realizes 3D target detection only through monocular images, has low cost and good effect, and can be widely applied to the field of unmanned driving.
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6:
[发明]
三维初至波剩余静校正方法及装置
申请号:
201911042161.6
公开号:CN112748468A 主分类号:G01V1/37
申请人:
中国石油天然气集团有限公司
;
中国石油集团东方地球物理勘探有限责任公司
申请日:2019.10.30 公开日:2021.05.04
发明人:
曹中林
;
周强
;
何光明
;
熊晶璇
;
李乐
;
吕文彪
摘要:本发明公开了一种三维初至波剩余静校正方法及装置,该方法包括:从炮点道集数据中获取各检波点的与炮点对应的原有初至旅行时间;根据各检波点相对于所述炮点的位置采用曲面拟合方法对各检波点的原有初至旅行时间进行拟合,得到各检波点的拟合初至时间;计算各检波点的拟合初至时间与原有初至旅行时间的差值,并计算所有检波点的该差值的平均值,得到所述炮点的初至剩余静校正量。本发明解决了现有剩余静校正方法结果不够准确的技术问题。
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7:
[发明]
一种基于模式识别的形态分量分析地震异常振幅压制方法、设备及存储介质
申请号:
202411063645.X
公开号:CN121477291A 主分类号:G01V1/28
申请人:
中国石油天然气集团有限公司
;
中国石油集团东方地球物理勘探有限责任公司
申请日:2024.08.05 公开日:2026.02.06
发明人:
周鸣
;
罗红明
;
李成毅
;
曹中林
;
罗文
;
熊晶璇
摘要:本发明公开了一种基于模式识别的形态分量分析地震异常振幅压制方法、设备及存储介质,属于石油勘探地震资料处理技术领域。本发明提供的一种基于模式识别的形态分量分析地震异常振幅压制方法,通过利用形态分量分析技术,为含有异常振幅的地震数据找到合适的稀疏字典,使地震数据在该字典下的系数是稀疏的,再利用信号分离的理论将地震数据按照他们之间的差异分离成不同的信号分量,即有效信号和噪声(异常振幅),再通过模式识别计算含异常振幅的背景记录与分离噪声的相似性,确定分离出的异常振幅的可靠性及压制程度,最终能够有效压制地震数据大范围、强能量的异常振幅,同时能最大限度地保护有效反射信号。本发明适用于压制大面积、强能量的地震异常振幅,能有效提高地震资料的信噪比,提高地震资料的处理精度。
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8:
[发明]
一种基于监测多指标的滑坡预警装置
申请号:
201610407598.5
公开号:CN106023531A 主分类号:G08B21/10
申请人:
吉林大学
申请日:2016.06.12 公开日:2016.10.12
发明人:
秦胜伍
;
曹荣国
;
马中骏
;
吕江峰
;
龚文曦
;
彭帅英
;
朴晶
摘要:本发明公开了一种基于监测多指标的滑坡预警装置,由供电系统、监测系统和数据集成处理系统组成,供电系统包括光伏供电板,监测系统包括含水率探测杆、拉力探测组件和雨强雨量监测组件,数据集成处理系统包括数据收集模块、数据处理模块、预警模块、图像显示器和无线传输模块;数据收集模块能够收集监测系统采集的数据,发送到数据处理模块进行分析、处理,从而得出滑坡危险区的降雨量、降雨强度、斜坡体内竖向含水率状况及拉力数据,发送到监测后台。本发明滑坡预警装置能够实时对斜坡的变形,斜坡上部降雨,斜坡竖向含水率进行监测,并在特定的情况
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9:
[发明]
【中文】一种通过主动径向加压提高温热充液拉深成形贴模性的方法 【EN】Method for improving warm hydromechanical deep drawing forming die attaching performance through active radial pressurization
申请号:
201911187879.4
公开号:CN110860598A 主分类号:B21D26/031
申请人:
【中文】哈尔滨理工大学【EN】Harbin University of Science and Technology
申请日:2019.11.28 公开日:2020.03.06
发明人:
【中文】刘晓晶
;
曹洪营
;
李连峰【EN】Liu Xiaojing
;
Cao Hongying
;
Li Lianfeng
摘要:【中文】本发明属于金属板材加工领域,尤其适用于高性能难成形的铝合金、镁合金及钛合金等板材。具体公开了一种通过主动径向加压提高温热充液拉深成形贴模性的方法,包括:对板料保温,然后合模进行温热充液预胀工序,使板料取得凸模异形底的形状;在保持合理液压值加载前提下,同时凸模下行进行温热充液拉深工序;同时,根据板料异形底的贴模变化情况,通过主动的液压加载对板料的径向进行合理、均匀的液压加载;凸模下行至工件合格尺寸位置,进行保压定形工序;最后,卸压开模。本发明能在满足工件成形质量要求的前提下,通过对温热充液拉深成形中板料径向施加主动的液压载荷,有效阻止成形板料异形底部分在拉深过程中被复位,提高异形底件的贴模精度。 【EN】The invention belongs to the field of metal plate processing, and is particularly suitable for high-performance aluminum alloy, magnesium alloy, titanium alloy and other plates which are difficult to form. Specifically discloses a method for improving warm hydromechanical deep drawing forming die attaching performance by active radial pressurization, which comprises the following steps: preserving heat of the plate, and then closing the die to perform a warm liquid-filled pre-expansion process so that the plate takes the shape of the special-shaped bottom of the male die; on the premise of keeping reasonable hydraulic value loading, the male die moves downwards to perform a warm hydro-mechanical drawing process; meanwhile, according to the die-attaching change condition of the special-shaped bottom of the plate, reasonable and uniform hydraulic loading is carried out on the radial direction of the plate through active hydraulic loading; the male die descends to the position of the qualified size of the workpiece, and the pressure maintaining and shaping process is carried out; and finally, releasing the pressure and opening the die. The invention can effectively prevent the deformed bottom part of the formed plate from being reset in the deep drawing process by applying active hydraulic load to the radial direction of the plate in warm hydro-mechanical deep drawing forming on the premise of meeting the forming quality requirement of a workpiece, and improves the die attaching precision of the deformed bottom part.
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10:
[发明]
【中文】一种用于流程工业大规模过程控制的降维辨识方法 【EN】Dimension reduction identification method for large-scale process control of process industry
申请号:
201911079525.8
公开号:CN111025898A 主分类号:G05B13/04
申请人:
【中文】江南大学【EN】Jiangnan University
申请日:2019.11.07 公开日:2020.04.17
发明人:
【中文】陈晶
;
曹俊峰
;
过榴晓【EN】Chen Jing
;
Cao Junfeng
;
Guo Da Xiao
摘要:【中文】本发明提供一种用于流程工业大规模过程控制的降维辨识方法,其计算过程通无需人工参与,可以在确保计算精度的基础上,以很低的计算量实现高阶系统的参数辨识。本发明的技术方案中,进行系统参数辨识的过程中,将待辨识的2n维的参数利用Arnoldi方法构建Krylov子空间,实现了由2n维降低到k维,降低了系统的计算量;随后通过Givens变换方法求解参数寻优步长,确保了本发明的计算方法是收敛的;通过预先设置的阈值以及迭代的方法,提高系统参数的辨识精度。 【EN】The invention provides a dimension reduction identification method for large-scale process control in process industry, which can realize parameter identification of a high-order system with low calculation amount on the basis of ensuring calculation accuracy without manual participation in a calculation process. In the technical scheme of the invention, in the process of identifying the system parameters, the 2 n-dimensional parameters to be identified are used for constructing the Krylov subspace by utilizing the Arnoldi method, so that the 2 n-dimensional parameters are reduced to the k-dimensional parameters, and the calculated amount of the system is reduced; then solving parameter optimization step length by a Givens transformation method to ensure that the calculation method of the invention is convergent; the identification precision of the system parameters is improved through a preset threshold value and an iteration method.
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