摘要：【中文】本申请实施例公开了一种数据处理方法、数据处理装置和装置，其中的方法具体包括：依据第一业务子系统的日志，确定所述第一业务子系统在用户请求的处理过程中、对于至少一个第二业务子系统的目标调用信息；展示所述目标调用信息。本申请实施例展示的目标调用信息可以供用户查看和利用，并且可以有助于定位第一业务子系统的异常；并且，依据第一业务子系统的日志得到上述目标调用信息的过程可以涉及较少的运算，故可以快速向用户提供上述目标测试信息，因此可以降低测试成本，且可以提高测试效率。 【EN】The embodiment of the application discloses a data processing method, a data processing device and a data processing device, wherein the method specifically comprises the following steps: determining target calling information of at least one second service subsystem in the processing process of a user request by a first service subsystem according to a log of the first service subsystem; and displaying the target calling information. The target calling information displayed by the embodiment of the application can be checked and utilized by a user, and can be helpful for positioning the abnormity of the first service subsystem; in addition, the process of obtaining the target calling information according to the log of the first service subsystem can involve less operations, so that the target testing information can be quickly provided for a user, the testing cost can be reduced, and the testing efficiency can be improved.

摘要：【中文】本发明公开了一种分离式调控角度漂移与位置漂移的激光束指向稳定装置，该装置将入射激光光束通过两个分光棱镜与一个偏振分光棱镜分光，得到一束工作光束与三束监控光束，三束监控光束由相应的光电器件接受并分别用于监控角度偏移与二维位置偏移，根据得到的监控信息完成对激光光束角度与位移参量的实时校正。本发明对角度偏移与位置偏移的测量与控制进行了有效分离，分别对入射光束的水平位移与垂直位移进行实时调整，调整精度高，调整过程快速，且不会出现耦合干扰；实现激光束的位置漂移精度优于100nm，角度漂移调整精度优于0.1urad；利用本发明装置调整得到的稳定光束，可以广泛用于超分辨显微成像系统和高精度激光直写光刻系统。 【EN】The invention discloses a laser beam pointing stabilizing device for separately regulating and controlling angle drift and position drift, which divides an incident laser beam through two beam splitters and a polarization beam splitter to obtain a working beam and three monitoring beams, wherein the three monitoring beams are received by corresponding photoelectric devices and are respectively used for monitoring angle offset and two-dimensional position offset, and real-time correction of laser beam angles and displacement parameters is completed according to the obtained monitoring information. The invention effectively separates the measurement and control of the angular deviation and the position deviation, respectively adjusts the horizontal displacement and the vertical displacement of the incident beam in real time, has high adjustment precision and quick adjustment process, and does not generate coupling interference; the position drift precision of the laser beam is better than 100nm, and the angle drift adjustment precision is better than 0.1 urad; the stable light beam obtained by the device can be widely used for super-resolution microscopic imaging systems and high-precision laser direct-writing photoetching systems.

摘要：【中文】本发明公开了一种磷脂酰丝氨酸的纯化方法，将酶解反应获得的脂溶性杂质含量低于30％的磷脂酰丝氨酸置于水中得到磷脂酰丝氨酸水溶液，调节水溶液的温度为5‑15℃，水溶液经乳化剪切、离心得到含量为至少70％的磷脂酰丝氨酸。本发明纯化磷脂酰丝氨酸的方法只使用水，不使用有机溶剂，即可制备磷脂酰丝氨酸含量大于70％的产品，克服了传统方法只有使用有机溶剂纯化才能制备高含量磷脂酰丝氨酸产品的不足，并且有机溶剂纯化后需加热浓缩收集磷脂酰丝氨酸，此过程易导致磷脂酰丝氨酸产品过氧化值升高，只用水的纯化过程即克服了这一缺点。 【EN】The invention discloses a method for purifying phosphatidylserine, which comprises the steps of putting phosphatidylserine with the fat-soluble impurity content lower than 30% obtained by enzymolysis reaction into water to obtain phosphatidylserine aqueous solution, adjusting the temperature of the aqueous solution to 5-15 ℃, emulsifying, shearing and centrifuging the aqueous solution to obtain the phosphatidylserine with the content of at least 70%. The method for purifying the phosphatidylserine can prepare the product with the content of the phosphatidylserine more than 70 percent only by using water and not using an organic solvent, overcomes the defect that the product with high content of the phosphatidylserine can only be prepared by using organic solvent for purification in the traditional method, and the phosphatidylserine needs to be heated, concentrated and collected after the organic solvent is purified, so that the peroxide value of the phosphatidylserine product is easily increased, and the defect is overcome by using the water for purification.

摘要：【中文】本发明涉及机械臂技术领域，具体而言，涉及一种手眼触屏机械臂。一种手眼触屏机械臂，包括底座、底座关节、臂关节、肘关节、腕关节、传感器和末端触屏指针以及设置在末端触屏指针外侧的摄像头，所述底座通过所述底座关节连接所述臂关节，所述臂关节通过所述肘关节连接所述腕关节，所述腕关节与所述末端触屏指针相连所述传感器包括第一关节力矩传感器、第二关节力矩传感器、第三关节力矩传感器、第四关节传感器、第五传感器。本发明的增益效果是:本技术方案采用多轴联动，通过机械臂与摄像头相互配合调度，实现操作效率高，触控位置精准，超程过载都会自动停止执行，保证不损伤其他设备，使用寿命长。 【EN】The invention relates to the technical field of mechanical arms, in particular to a hand-eye touch screen mechanical arm. The hand-eye touch screen mechanical arm comprises a base, a base joint, an arm joint, an elbow joint, a wrist joint, a sensor, a terminal touch screen pointer and a camera arranged on the outer side of the terminal touch screen pointer, wherein the base is connected with the arm joint through the base joint, the arm joint is connected with the wrist joint through the elbow joint, the wrist joint is connected with the terminal touch screen pointer, and the sensor comprises a first joint torque sensor, a second joint torque sensor, a third joint torque sensor, a fourth joint sensor and a fifth sensor. The multi-axis linkage type touch control device has the advantages that the multi-axis linkage is adopted, the mechanical arm and the camera are matched for scheduling, the high operation efficiency is realized, the touch control position is accurate, the overtravel overload can automatically stop execution, other equipment is guaranteed not to be damaged, and the service life is long.

摘要：【中文】本发明涉及图像处理技术和视觉伺服技术领域，特别涉及基一种电厂集控室深度学习和视觉伺服的触屏控制操作方法。本操作方法包括：获取集控室电厂需要监测的界面图像并建立相应图像库；利用训练好的卷积神经网络识别界面局部的字符信息来判断当前所停留的工作页面；采用图像的模板匹配方法检测需要后续机械臂点击的字符按钮；利用摄像头采集显示屏的RGB图像，再通过卷积神经网络确定显示屏的位姿信息，结合操作界面的图像识别与定位，驱动机械臂末端完成操作。本发明采用深度学习技术，实现集控系统状况的快速、智能判断；引入视觉伺服技术，实现机械臂对控制界面的精准操作，安全性得到了大幅提高，保证电厂生产的信息安全。 【EN】The invention relates to the technical field of image processing technology and visual servo, in particular to a touch screen control operation method based on deep learning and visual servo of a power plant centralized control room. The operation method comprises the following steps: acquiring an interface image to be monitored of a power plant in a centralized control room and establishing a corresponding image library; identifying local character information of an interface by using the trained convolutional neural network to judge the current staying working page; detecting a character button needing to be clicked by a subsequent mechanical arm by adopting an image template matching method; the camera is used for collecting RGB images of the display screen, the pose information of the display screen is determined through the convolution neural network, and the tail end of the mechanical arm is driven to complete operation by combining image recognition and positioning of an operation interface. The invention adopts the deep learning technology to realize the quick and intelligent judgment of the condition of the centralized control system; a visual servo technology is introduced, so that the mechanical arm can accurately operate a control interface, the safety is greatly improved, and the information safety of power plant production is ensured.