摘要：【中文】一种便携式材料热物性测试装置及使用方法，涉及材料热物性测量技术领域，它包括电加热模块、测温模块、数据采集模块、数据处理模块和显示模块，电加热模块通过导线与测温模块连接，测温模块通过导线与数据采集模块连接，数据采集模块通过导线与数据处理模块连接，数据处理模块通过导线与显示模块连接。本便携式材料热物性测试装置及使用方法基于瞬态平板热源法原理，检测时间短，精度高，且适用于现场材料导热系数的测量；采用镀镍碳纤维加热丝，比传统的金属镍电加热，发热更快、热均匀性更好；适用于不同形状材料表面导热系数的测量，适用范围更广；系统简单，装置轻巧，无需连接计算机，可快速获得材料的导热系数，更适合推广。 【EN】The utility model provides a portable material thermophysical property testing arrangement and application method, relates to material thermophysical property measurement technical field, and it includes electrical heating module, temperature measurement module, data acquisition module, data processing module and display module, and electrical heating module passes through the wire and is connected with temperature measurement module, and temperature measurement module passes through the wire and is connected with data acquisition module, and data acquisition module passes through the wire and is connected with data processing module, and data processing module passes through the wire and is connected with display module. The portable material thermophysical property testing device and the using method are based on the transient flat plate heat source method principle, have short detection time and high precision, and are suitable for measuring the heat conductivity coefficient of the field material; compared with the traditional metallic nickel electric heating, the nickel-plated carbon fiber heating wire has the advantages of faster heating and better thermal uniformity; the method is suitable for measuring the surface heat conductivity coefficients of materials with different shapes, and has wider application range; the system is simple, the device is light and handy, need not to connect the computer, can obtain the coefficient of heat conductivity of material fast, more is fit for promoting.

摘要：【中文】本公开涉及一种牵引车鞍座总成及其控制方法和牵引车。牵引车鞍座总成，包括：鞍座；滑道，用于固定安装在车架上；鞍座滑动支撑架，可滑动地设置在滑道上，用于支撑安装鞍座；鞍座调整机构，用于驱动鞍座滑动支撑架在滑道上滑动；承载重量测量机构，用于测量鞍座的承载重量；以及控制机构，用于根据鞍座的承载重量控制鞍座调整机构，以调整鞍座相对于车架的纵向位置。控制机构根据承载重量测量机构测量到的鞍座的承载重量，控制鞍座调整机构来调整鞍座相对于车架的纵向位置，实现了鞍座在车架上的纵向位置的自动调节，合理分配牵引车各桥的承载质量，达到提升车辆操纵性能的目的。 【EN】The disclosure relates to a tractor saddle assembly, a control method thereof and a tractor. A tractor saddle assembly comprising: a saddle; the slideway is fixedly arranged on the frame; the saddle sliding support frame is arranged on the slideway in a sliding way and is used for supporting and mounting a saddle; the saddle adjusting mechanism is used for driving the saddle sliding support frame to slide on the slideway; the bearing weight measuring mechanism is used for measuring the bearing weight of the saddle; and a control mechanism for controlling the saddle adjustment mechanism in accordance with the load weight of the saddle to adjust the longitudinal position of the saddle relative to the frame. The control mechanism controls the saddle adjusting mechanism to adjust the longitudinal position of the saddle relative to the frame according to the bearing weight of the saddle measured by the bearing weight measuring mechanism, so that the automatic adjustment of the longitudinal position of the saddle on the frame is realized, the bearing quality of each bridge of the tractor is reasonably distributed, and the aim of improving the operating performance of the vehicle is fulfilled.

摘要：【中文】本发明实施例提供一种虚拟机数据泄露检测方法及装置，所述方法包括：在虚拟机中写入用于区分虚拟机已存储数据的特征码，并关闭所述虚拟机；获取主机的物理磁盘数据，检测所述物理磁盘数据，并根据检测结果是否包含所述特征码，确定所述虚拟机中的数据是否泄露。所述装置执行上述方法。本发明实施例提供的方法及装置，通过在虚拟机中写入特征码，并关闭虚拟机，获取主机的物理磁盘数据，并检测该物理磁盘数据中是否包含有特征码，能够准确检测出虚拟机中的数据是否发生泄露，从而保证企业和个人的数据安全。 【EN】The embodiment of the invention provides a method and a device for detecting data leakage of a virtual machine, wherein the method comprises the following steps: writing feature codes for distinguishing stored data of the virtual machine into the virtual machine, and closing the virtual machine; and acquiring physical disk data of a host, detecting the physical disk data, and determining whether the data in the virtual machine is leaked or not according to whether the detection result contains the feature code or not. The device performs the above method. According to the method and the device provided by the embodiment of the invention, the characteristic code is written in the virtual machine, the virtual machine is closed, the physical disk data of the host is obtained, and whether the physical disk data contains the characteristic code or not is detected, so that whether the data in the virtual machine leaks or not can be accurately detected, and the data safety of enterprises and individuals is ensured.

摘要：【中文】本发明实施例提供一种虚拟内存数据泄露检测方法及装置，所述方法包括：在虚拟机的虚拟内存中写入用于区分虚拟内存中已存储数据的特征码，并关闭所述虚拟机；获取主机的物理内存数据，检测所述物理内存数据，并根据检测结果是否包含所述特征码，确定所述虚拟内存中的内存数据是否泄露。所述装置执行上述方法。本发明实施例提供的虚拟内存数据泄露检测方法及装置，通过在虚拟机的虚拟内存中写入特征码，并关闭虚拟机，获取主机的物理内存数据，检测该物理内存数据中是否包含有特征码，能够准确检测出虚拟内存中的内存数据是否发生泄露，从而保证企业和个人的数据安全。 【EN】The embodiment of the invention provides a method and a device for detecting virtual memory data leakage, wherein the method comprises the following steps: writing feature codes for distinguishing stored data in a virtual memory in the virtual machine, and closing the virtual machine; and acquiring physical memory data of a host, detecting the physical memory data, and determining whether the memory data in the virtual memory is leaked or not according to whether the detection result contains the feature code or not. The device performs the above method. According to the method and the device for detecting the leakage of the virtual memory data, provided by the embodiment of the invention, the characteristic code is written in the virtual memory of the virtual machine, the virtual machine is closed, the physical memory data of the host is obtained, whether the physical memory data contains the characteristic code or not is detected, whether the memory data in the virtual memory is leaked or not can be accurately detected, and thus the data security of enterprises and individuals is ensured.

摘要：【中文】本发明实施例提供一种防暴力破解方法及装置，其中，方法包括：从Linux‑PAM认证框架的可插拔认证模块PAM接收的登录认证请求中，获取远程登录服务器的IP地址；若所述远程登录服务器的IP地址不在预设白名单和预设黑名单内、且所述远程登录服务器的IP地址的登录失败计数超过预设登录失败阈值，则确定所述远程登录服务器的IP地址的登录属于暴力破解行为，PAM登录认证失败。本发明实施例能够基于Linux‑PAM认证框架，高效的获取暴力破解来源，实现针对Linux系统的防暴力破解，实现方式简单高效。 【EN】The embodiment of the invention provides a brute force cracking prevention method and a brute force cracking prevention device, wherein the method comprises the following steps: acquiring an IP address of a remote login server from a login authentication request received by a pluggable authentication module PAM of a Linux-PAM authentication framework; and if the IP address of the remote login server is not in a preset white list and a preset black list and the login failure count of the IP address of the remote login server exceeds a preset login failure threshold value, determining that the login of the IP address of the remote login server belongs to brute force cracking behaviors and PAM login authentication fails. The embodiment of the invention can efficiently obtain brute force cracking sources based on a Linux-PAM authentication framework, realizes brute force cracking prevention aiming at a Linux system, and has a simple and efficient implementation mode.

摘要：【中文】本发明实施例提供了一种虚拟化平台数据迁移完整性检测的方法和装置，在源虚拟化平台向目标虚拟化平台进行数据迁移的过程中，通过根据迁入数据和迁出数据抓取的数据，实现了数据迁移完整性的判断，从而在数据迁移不完整时，及时发出提示信息表明数据迁移过程的无效。可见，通过对数据迁移完整性的判断，实现了快速准确地对数据迁移过程有效性的判断。 【EN】The embodiment of the invention provides a method and a device for detecting the data migration integrity of a virtualization platform. Therefore, the validity of the data migration process can be judged quickly and accurately by judging the integrity of the data migration.

摘要：【中文】本发明实施例提供一种基于虚拟化平台的物理内存数据泄露检测方法及装置，所述方法包括：在重启虚拟化平台之后，获取所述虚拟化平台中主机的物理内存数据；所述主机的物理内存中预先写入有用于区分物理内存中已存储数据的特征码；检测所述物理内存数据，并根据检测结果是否包含所述特征码，确定所述物理内存中的内存数据是否泄露。所述装置执行上述方法。本发明实施例提供的基于虚拟化平台的物理内存数据泄露检测方法及装置，通过在重启虚拟化平台之后，获取主机的物理内存数据，并检测该物理内存数据中是否包含预先写入到物理内存中的特征码，能够准确检测出主机的物理内存中的内存数据是否发生泄露，从而保证企业和个人的数据安全。 【EN】The embodiment of the invention provides a physical memory data leakage detection method and a physical memory data leakage detection device based on a virtualization platform, wherein the method comprises the following steps: after restarting a virtualization platform, acquiring physical memory data of a host in the virtualization platform; the method comprises the steps that a feature code for distinguishing stored data in a physical memory is written in the physical memory of the host in advance; and detecting the physical memory data, and determining whether the memory data in the physical memory is leaked or not according to whether the detection result contains the feature code or not. The device performs the above method. According to the method and the device for detecting the leakage of the physical memory data based on the virtualization platform, provided by the embodiment of the invention, the physical memory data of the host is obtained after the virtualization platform is restarted, and whether the physical memory data contains the feature codes which are written into the physical memory in advance is detected, so that whether the memory data in the physical memory of the host is leaked can be accurately detected, and the data security of enterprises and individuals is ensured.

摘要：【中文】本发明公开了一种多点接入光伏电源的电网关键线路辨识方法，包括获取电网的直流潮流网络模型；遍历直流潮流网络模型中各“发电‑负荷”对，对各“发电‑负荷”对中发电节点和负荷节点分别注入单位电流元和单位负荷，并记录此时各线路电流变化量；判断各“发电‑负荷”中的发电节点和负荷节点是否存在光伏电源接入，并根据判断结果更新发电节点和/或负荷节点的功率权重，计算发电节点与负荷节点之间的传输功率权重；计算各线路的改进电气介数值；将各线路的改进电气介数值排序。本发明能够对多点接入光伏电源的电网关键线路进行辨识，符合未来智能电网安全发展的需要。 【EN】The invention discloses a power grid key line identification method of a multi-point access photovoltaic power supply, which comprises the steps of obtaining a direct current power flow network model of a power grid; traversing each 'power generation-load' pair in the direct current power flow network model, respectively injecting unit current elements and unit loads into power generation nodes and load nodes of each 'power generation-load' pair, and recording current variation of each line at the moment; judging whether photovoltaic power access exists in power generation nodes and load nodes in each 'power generation-load', updating power weights of the power generation nodes and/or the load nodes according to judgment results, and calculating transmission power weights between the power generation nodes and the load nodes; calculating an improved electrical dielectric value of each line; the improved electrical dielectric values for each line are ordered. The method can identify the key line of the power grid with multipoint access of the photovoltaic power supply, and meets the requirement of the future intelligent power grid safety development.

摘要：【中文】本发明公开一种基于脉冲涡流技术的表面和埋深缺陷分类方法，步骤是：加工和待测试件具有相同材料和厚度的无缺陷试件和含有要求的最大埋深深度缺陷的缺陷试件，分别采集参考信号R0和参考缺陷信号R1，得到检测灵敏度在一个周期内的变化曲线，并将最大值对应的时刻作为最优信号提取时刻；对待测试件进行扫查，分别提取每一个周期响应信号中的峰值时刻t2值A0,A1,A2…An和最优信号提取时刻t1值B0,B1,B2…Bn，其中n为检测点的个数；分别归一化，绘制峰值时刻曲线和最优信号提取时刻曲线；当缺陷的峰值时刻曲线最小值小于最优信号提取时刻曲线最小值时，表明检测到的缺陷为表面缺陷，否则为埋深缺陷。此种分类方法可实现表面缺陷和埋深缺陷的快速实时自动识别。 【EN】The invention discloses a surface and buried depth defect classification method based on a pulse eddy current technology, which comprises the following steps: processing a defect-free test piece and a defect test piece containing the required maximum burial depth defect, wherein the defect-free test piece and the defect test piece to be tested have the same material and thickness, respectively acquiring a reference signal R0 and a reference defect signal R1 to obtain a change curve of the detection sensitivity in a period, and taking the moment corresponding to the maximum value as the optimal signal extraction moment; scanning a piece to be tested, and respectively extracting peak value time t2 values A0, A1 and A2 … An and optimal signal extraction time t1 values B0, B1 and B2 … Bn in each periodic response signal, wherein n is the number of detection points; respectively normalizing, and drawing a peak value time curve and an optimal signal extraction time curve; and when the minimum value of the peak value moment curve of the defect is smaller than the minimum value of the optimal signal extraction moment curve, indicating that the detected defect is a surface defect, otherwise, indicating that the detected defect is a buried depth defect. The classification method can realize the quick real-time automatic identification of the surface defects and the buried depth defects.

摘要：本发明涉及一种侧吹风幕式顶吸烟机及工作方法，属于节能减排领域。该侧吹风幕式顶吸烟机包括：一号喷嘴（1）、第一分配器（2）、二号喷嘴（3）、排烟管道（4）、三号喷嘴（5）、第二分配器（6）、四号喷嘴（7）、喷嘴管道（8）、五号喷嘴（9）、二号风机（10）、集烟罩（11）、一号风机（12）和平竖转向器（13）等设备。该侧吹风幕式顶吸烟机通过五个喷嘴形成完整的侧吹风幕环，可以有效将油烟隔离在风幕环内，在风幕环中心形成的螺旋卷吸效应还可快速收拢聚集油烟，阻止油烟向厨房内扩散。本发明因此具有减少炊事操作者受到的近距离油烟颗粒和高温辐射的危害、提高炊事操作舒适度以及降低抽油烟机功率的优势。