摘要：【中文】本发明的WiFi6系统及路由器模组，通过设置电源器、WiFi6芯片、单频器及双频器。由于单频器包括若干单频模块以及双频器包括若干双频模块，能够让WiFi6系统配备有多路数据通道，传输速率高，提高WiFi6系统的数据吞吐量，传输数据量更加充足；由于WiFi6系统设置有反馈单元，反馈单元包括2.4g反馈支路和5g反馈支路，若WiFi6系统的功率不在预设设定值时，通过2.4g反馈支路和5g反馈支路能够及时反馈并进行处理，保证WiFi6系统的功率不会受到影响；由于采用了双频芯片，让2.4g频段和5g频段的信号能够在一个双频芯片处理，能够让WiFi6系统集成度更高，也让WiFi6系统的制造成本大大降低。 【EN】The WiFi6 system and the router module are provided with the power supply, the WiFi6 chip, the single frequency device and the double frequency device. The single frequency device comprises a plurality of single frequency modules and the double frequency device comprises a plurality of double frequency modules, so that a WiFi6 system can be provided with a plurality of data channels, the transmission rate is high, the data throughput of the WiFi6 system is improved, and the transmission data volume is more sufficient; because the WiFi6 system is provided with the feedback unit which comprises the 2.4g feedback branch and the 5g feedback branch, if the power of the WiFi6 system is not at the preset set value, the power of the WiFi6 system can be timely fed back and processed through the 2.4g feedback branch and the 5g feedback branch, and the power of the WiFi6 system is not influenced; due to the adoption of the double-frequency chip, signals of a 2.4g frequency band and a 5g frequency band can be processed on the double-frequency chip, the integration level of the WiFi6 system can be higher, and the manufacturing cost of the WiFi6 system is greatly reduced.

摘要：【中文】本发明公开了一种电动肩关节外展牵引架，包括：底座，在所述底座的下端设置有倒U型插块，在所述倒U型插块的一侧穿设有锁紧螺栓，在所述底座的上端设置有凹槽，在所述凹槽内通过第一转轴转动设置有转动座，在所述转动座的上端设置有机架，在所述机架内通过轴承座转动设置有竖向螺杆，所述竖向螺杆的上端伸出轴承座与伺服减速电机的电机轴相连接，所述伺服减速电机通过第一支架固定设置在机架的上端，在所述竖向螺杆上设置有与其相互配合的竖向螺套，在所述竖向螺杆一侧的机架上设置有导向杆，在所述竖向螺套的一侧设置有与导向杆相互配合的导向套。 【EN】The invention discloses an electric shoulder joint abduction traction frame, which comprises: the base the lower extreme of base is provided with the type of falling U inserted block the locking bolt is worn to be equipped with in one side of the type of falling U inserted block the upper end of base is provided with the recess rotate through first pivot in the recess and be provided with and rotate the seat the upper end of rotating the seat is provided with the frame rotate through the bearing frame in the frame and be provided with vertical screw rod, the upper end of vertical screw rod is stretched out the bearing frame and is connected with servo gear motor's motor shaft, servo gear motor passes through the fixed upper end that sets up in the frame of first support be provided with the vertical swivel nut rather than mutually supporting on the vertical screw rod be provided with the guide bar in the frame of vertical screw rod one side of vertical swivel nut is provided with the uide bushing of mutually supporting with the guide bar.

摘要：【中文】本发明实施例提供一种基于光线温度传感器的高压电气设备在线测温方法，其包括以下步骤：步骤S1，利用拉曼光纤传感器采集高压电气设备的触点温度数据，并结合高压电气设备的电气参数作为待诊断故障数据；步骤S2，利用大量实际运行故障数据对RBF神经网络进行训练，再采用其进行基本概率分配，对待诊断故障数据进行准确分类；步骤S3，利用贝叶斯网络对高压电气设备进行故障诊断。该基于光线温度传感器的高压电气设备在线测温方法在利用拉曼光纤传感器对高压电气设备测温的基础上，并将信息融合技术用于以温度为主要参数、电流等为辅助参数的高压电气设备温度监测预警系统中，从而有效地提高诊断的可信度，减少诊断的不确定性。 【EN】The embodiment of the invention provides a high-voltage electrical equipment online temperature measuring method based on a light ray temperature sensor, which comprises the following steps: step S1, collecting contact temperature data of the high-voltage electrical equipment by using a Raman fiber sensor, and taking the electrical parameters of the high-voltage electrical equipment as fault data to be diagnosed; step S2, training the RBF neural network by using a large amount of actual operation fault data, and then performing basic probability distribution by using the RBF neural network to accurately classify the fault data to be diagnosed; and step S3, performing fault diagnosis on the high-voltage electrical equipment by using the Bayesian network. According to the on-line temperature measuring method for the high-voltage electrical equipment based on the light ray temperature sensor, on the basis of measuring the temperature of the high-voltage electrical equipment by using the Raman optical fiber sensor, an information fusion technology is used in a high-voltage electrical equipment temperature monitoring and early warning system with the temperature as a main parameter and the current as an auxiliary parameter, so that the reliability of diagnosis is effectively improved, and the uncertainty of diagnosis is reduced.

摘要：【中文】本发明公开了一种纤维板生产用热滚压装置，包括放置箱，所述放置箱的内底壁固定连接有支撑块，所述支撑块的顶部固定连接有方形块，所述方形块的背面固定连接有伺服电机，所述伺服电机的输出轴固定连接有转动轴，所述转动轴背面的一端固定连接有输出轮，所述放置箱内底壁的左右两侧均固定连接有支撑柱，左侧所述支撑柱的顶端固定连接有连接块，所述连接块的左右两侧均固定连接有承接块，所述承接块的背面开设有活动槽，所述活动槽的内部活动连接有转动块，所述转动块的背面固定连接有转动柱。该纤维板生产用热滚压装置，通过机械热压取代人工热压，提高纤维板的生产效率，且使成品纤维板平整。 【EN】The invention discloses a hot rolling device for producing a fiberboard, which comprises a placing box, wherein a supporting block is fixedly connected to the inner bottom wall of the placing box, a square block is fixedly connected to the top of the supporting block, a servo motor is fixedly connected to the back of the square block, an output shaft of the servo motor is fixedly connected with a rotating shaft, an output wheel is fixedly connected to one end of the back of the rotating shaft, supporting columns are fixedly connected to the left side and the right side of the inner bottom wall of the placing box, a connecting block is fixedly connected to the top end of the supporting column on the left side, bearing blocks are fixedly connected to the left side and the right side of the connecting block, a movable groove is formed in the back of each bearing block, a rotating block is movably connected to the inner part of the movable. This hot rolling press device is used in fibreboard production replaces artifical hot pressing through mechanical hot pressing, improves the production efficiency of fibreboard, and makes the finished product fibreboard level and smooth.

摘要：【中文】本发明公开了一种电动四肢消毒牵引架，包括：移动架体，在所述移动架体的下端设置有前万向轮组和后移动轮组，所述万向轮组包括两个前万向轮，所述移动轮组包括两个后移动轮，所述后移动轮的驱动轴分别通过第一轴承座转动设置在移动架体的底部，在所述后移动轮的外侧均匀设置有若干刹车孔，在所述后移动轮上端的移动架体上分别设置有气缸，在所述气缸的活塞杆上设置有刹车盘，在所述刹车盘上设置有与刹车孔相互配合的刹车柱，在所述移动架体的上端通过第二轴承座转动设置有螺套，在所述螺套内设置有与其相互配合的螺杆，所述螺杆的下端滑动穿设在移动架体内。 【EN】The invention discloses an electric four-limb disinfection traction frame, which comprises: remove the support body the lower extreme of removing the support body is provided with preceding universal wheelset and the post-shift driving wheel group, universal wheelset includes two preceding universal wheels, it includes two post-shift driving wheels to remove the wheelset, the drive shaft of post-shift driving wheel rotates the bottom that sets up at the removal support body through primary shaft bearing respectively the outside of post-shift driving wheel evenly is provided with a plurality of brake holes be provided with the cylinder on the removal support body of post-shift driving wheel upper end respectively be provided with the brake disc on the piston rod of cylinder be provided with the brake post of mutually supporting with the brake hole on the brake disc the upper end of removing the support body is rotated through the secondary shaft bearing and is provided with the swivel nut be provided with the screw rod rather than mutually supporting in the swivel nut, the lower extreme of screw rod slides and wears to establish in removing the support body.

摘要：【中文】本发明适用于焊接设备技术领域，提供了一种散热器用焊接机及其使用方法，包括支架和位于支架上端的支撑板，支撑板前端设有移动组件，后端设有集料箱，所述移动组件前端连接有焊接组件；所述支架中部设有支撑柱，支撑柱上端通过旋转座连接有工作台，所述支撑柱下端通过齿轮箱连接所述支架；所述移动组件包括导向丝杠和铰接所述导向丝杠的移动滑块，焊接组件通过调节杆连接所述移动滑块。借此，本发明通过对现有焊接设备的改进，在提高焊接速度的同时，可以实现多种零件的焊接，并提高焊缝的质量的目的。 【EN】The invention is suitable for the technical field of welding equipment, and provides a welding machine for a radiator and a using method thereof, wherein the welding machine comprises a support and a support plate positioned at the upper end of the support, a moving assembly is arranged at the front end of the support plate, a material collecting box is arranged at the rear end of the support plate, and the front end of the moving assembly is connected with a welding assembly; a support column is arranged in the middle of the support, the upper end of the support column is connected with a workbench through a rotating seat, and the lower end of the support column is connected with the support through a gear box; the moving assembly comprises a guide screw and a moving sliding block hinged to the guide screw, and the welding assembly is connected with the moving sliding block through an adjusting rod. Therefore, the invention can realize the welding of various parts and improve the quality of welding seams while improving the welding speed by improving the existing welding equipment.

摘要：【中文】本发明实施例提供一种基于RBF神经网络和贝叶斯网络的高压电气设备实时检测方法，其包括以下步骤：步骤S1，利用温度传感器采集高压电气设备的触点温度数据，并结合高压电气设备的电流、电阻和电压作为待诊断故障数据，再进行归一化预处理；步骤S2，利用三个RBF神经网络进行基本概率分配，对待诊断故障数据进行准确分类；步骤S3，利用贝叶斯网络对高压电气设备进行故障诊断。该基于RBF神经网络和贝叶斯网络的高压电气设备实时检测方法在利用拉曼光纤传感器对高压电气设备测温的基础上，并将信息融合技术用于以温度为主要参数、电流等为辅助参数的高压电气设备温度监测预警系统中，从而有效地提高诊断的可信度，减少诊断的不确定性。 【EN】The embodiment of the invention provides a high-voltage electrical equipment real-time detection method based on an RBF neural network and a Bayesian network, which comprises the following steps: step S1, collecting contact temperature data of the high-voltage electrical equipment by using a temperature sensor, combining the current, the resistance and the voltage of the high-voltage electrical equipment as fault data to be diagnosed, and then carrying out normalization pretreatment; step S2, basic probability distribution is carried out by using three RBF neural networks, and fault data to be diagnosed are accurately classified; and step S3, performing fault diagnosis on the high-voltage electrical equipment by using the Bayesian network. According to the RBF neural network and Bayesian network-based real-time detection method for the high-voltage electrical equipment, on the basis of temperature measurement of the high-voltage electrical equipment by using the Raman fiber sensor, an information fusion technology is used in a high-voltage electrical equipment temperature monitoring and early warning system with temperature as a main parameter and current and the like as auxiliary parameters, so that the reliability of diagnosis is effectively improved, and the uncertainty of diagnosis is reduced.

摘要：【中文】本发明实施例提供一种模拟医生诊断和精准干预策略的慢性病健康管理模型的构建方法及系统，其包括以下步骤：步骤S1，构建慢性病动态渐变指标精确分类体系；步骤S2，构建基于粒子群优化的粗糙集约束理论的数据挖掘及归一化算法；步骤S3，构建DBN模型及其自适应参数信息结构；步骤S4，基于样本训练的慢性病健康管理精准干预模型语义特征信息提取模型。该模拟医生诊断和精准干预策略的慢性病健康管理模型的构建方法及系统创造性地将深度学习理论应用到慢性病管理领域，提高了慢性病精准防控效率，节省成本。解决了长期以来制约人类生活质量提升的慢性病防控难题。 【EN】The embodiment of the invention provides a method and a system for constructing a chronic disease health management model for simulating doctor diagnosis and accurate intervention strategies, wherein the method comprises the following steps: step S1, constructing a chronic disease dynamic gradual change index accurate classification system; step S2, constructing a data mining and normalization algorithm based on a particle swarm optimization rough set constraint theory; step S3, constructing a DBN model and a self-adaptive parameter information structure thereof; and step S4, extracting a model based on the semantic feature information of the sample-trained chronic disease health management accurate intervention model. The method and the system for constructing the chronic disease health management model for simulating the doctor diagnosis and accurate intervention strategy creatively apply the deep learning theory to the field of chronic disease management, improve the accurate prevention and control efficiency of chronic diseases and save the cost. Solves the problem of chronic diseases prevention and control which restrict the improvement of the life quality of human for a long time.

摘要：【中文】本发明实施例提供一种基于深度置信网络的慢性病精确干预方法及系统，其包括以下步骤：步骤S1，构建慢性病动态渐变指标精确分类体系；步骤S2，构建DBN模型及其自适应参数信息结构；步骤S3，基于样本训练的慢性病健康管理精准干预模型语义特征信息提取模型。该基于深度置信网络的慢性病精确干预方法及系统创造性地将深度学习理论应用到慢性病管理领域，提高了慢性病精准防控效率，节省成本。解决了长期以来制约人类生活质量提升的慢性病防控难题。 【EN】The embodiment of the invention provides a chronic disease accurate intervention method and system based on a deep belief network, which comprises the following steps: step S1, constructing a chronic disease dynamic gradual change index accurate classification system; step S2, constructing a DBN model and a self-adaptive parameter information structure thereof; and step S3, extracting a model based on the semantic feature information of the sample-trained chronic disease health management accurate intervention model. According to the chronic disease accurate intervention method and system based on the deep belief network, the deep learning theory is creatively applied to the field of chronic disease management, the chronic disease accurate prevention and control efficiency is improved, and the cost is saved. Solves the problem of chronic diseases prevention and control which restrict the improvement of the life quality of human for a long time.

摘要：【中文】本发明实施例提供一种人工智能中基于改进粒子群算法的数据分析处理方法及系统，其包括以下步骤：步骤S1，采用信息熵属性约束条件和柔性逻辑对与慢性病致病因子相关的数据进行约简和分类；步骤S2，利用约简和分类的数据构建迭代复杂柔性逻辑矩阵；步骤S3，对迭代复杂柔性逻辑矩阵进行归一化算法处理；步骤S4，优化稀疏迭代复杂柔性逻辑矩阵，以构建统一的深度学习样本集。该人工智能中基于改进粒子群算法的数据分析处理方法及系统利用粗糙集和柔性逻辑理论，简化训练样本集，消除冗余数据，提高了DBN的学习效率。 【EN】The embodiment of the invention provides a data analysis processing method and a data analysis processing system based on an improved particle swarm algorithm in artificial intelligence, which comprises the following steps: s1, reducing and classifying data related to chronic disease pathogenic factors by using information entropy attribute constraint conditions and flexible logic; step S2, constructing an iterative complex flexible logic matrix by using the reduced and classified data; step S3, carrying out normalization algorithm processing on the iterative complex flexible logic matrix; and step S4, optimizing the sparse iterative complex flexible logic matrix to construct a uniform deep learning sample set. According to the data analysis processing method and system based on the improved particle swarm optimization in the artificial intelligence, the rough set and the flexible logic theory are utilized, the training sample set is simplified, redundant data are eliminated, and the learning efficiency of the DBN is improved.