摘要：【中文】本发明涉及基于虚拟环境和深度双Q网络的自动驾驶小车训练方法，包括：基于Unity构建小车赛道虚拟环境；建立Websocket协议下的Unity与自动驾驶小车模型的通信连接；建立表征小车自动驾驶过程的马尔科夫模型,改造深度双Q网络算法训练自动驾驶模型；配置实体小车软硬件环境，迁移已训练小车自动驾驶模型；测试真实赛道下实体小车训练模型的自动驾驶操作。本方法使用虚拟环境训练模型，实现自动驾驶训练算法模型对复杂环境和路况的鲁棒性。本发明借助深度双Q网络算法，避免Q值估值大造成训练复杂性高的问题，使训练过程简单快速。本发明具有鲁棒性强、速度快、成本低等优点。可应用到智能交通、航空航天、机器人等领域的无人驾驶操作的训练和学习。 【EN】The invention relates to an automatic driving trolley training method based on a virtual environment and a deep double-Q network, which comprises the following steps: constructing a virtual environment of the trolley track based on Unity; establishing communication connection between Unity under a Websocket protocol and an automatic driving trolley model; establishing a Markov model representing the automatic driving process of the trolley, and modifying a deep double-Q network algorithm to train an automatic driving model; configuring a software and hardware environment of the entity trolley, and migrating the trained trolley automatic driving model; and testing the automatic driving operation of the entity trolley training model under the real track. The method uses the virtual environment training model to realize the robustness of the automatic driving training algorithm model to complex environment and road conditions. The invention avoids the problem of high training complexity caused by large Q value estimation value by means of a deep double-Q network algorithm, and ensures that the training process is simple and quick. The method has the advantages of strong robustness, high speed, low cost and the like. The method can be applied to the training and learning of unmanned operation in the fields of intelligent transportation, aerospace, robots and the like.

摘要：【中文】用于在高效视频编码(HEVC)中基于区域方向性离差和来对视频帧进行编码单元(CU)划分的方法和产品。 【EN】Methods and products for Coding Unit (CU) partitioning of video frames based on regional directional dispersion sums in High Efficiency Video Coding (HEVC).

摘要：【中文】本发明公开了一种基于离散空间矢量调制的永磁同步电机模型预测控制方法，属于高性能永磁同步电机调速控制技术领域。该永磁同步电机模型预测控制方法通过首先使用无差拍模型预测方法，获得指令电压矢量此步骤需考虑数字延时补偿；然后用空间矢量调制算法得到三个电压矢量u_x,u_y,u₀及其对应的作用时间；最后使用离散空间矢量调制算法，重构三相占空比，构建逆变器每个开关管的驱动信号。在本发明所述永磁同步电机模型预测控制方法中，与传统模型预测控制方法相比，扩大了候选电压矢量的范围，使电压矢量误差减小，从而改善了电流谐波和转矩脉动。 【EN】The invention discloses a permanent magnet synchronous motor model prediction control method based on discrete space vector modulation, and belongs to the technical field of high-performance permanent magnet synchronous motor speed regulation control. The permanent magnet synchronous motor model prediction control method obtains an instruction voltage vector by firstly using a dead-beat model prediction methodThis step requires consideration of digital delay compensation; then three voltage vectors u are obtained by using a space vector modulation algorithm_x,u_y,u₀And its corresponding action time; finally, using discrete space vector modulation algorithm, reconstructingAnd the three-phase duty ratio is used for constructing a driving signal of each switching tube of the inverter. Compared with the traditional model predictive control method, the model predictive control method for the permanent magnet synchronous motor enlarges the range of candidate voltage vectors, reduces the error of the voltage vectors and improves current harmonics and torque ripple.

摘要：【中文】用于在高效视频编码(HEVC)中的方法和产品。针对虚拟现实360度视频帧，采用剪枝决策树和提前划分决策树来进行CU划分。针对不同的区域，分别为剪枝决策树和提前划分决策树设计不同的属性。剪枝决策树属性以不同的方式考虑不同相邻区域与当前CTU区域的RDcost的差异。提前划分决策树以不同的方式考虑不同相邻区域与当前CTU区域的深度值。 【EN】Methods and products for use in High Efficiency Video Coding (HEVC). And aiming at the virtual reality 360-degree video frame, a pruning decision tree and a division decision tree in advance are adopted for dividing the CU. Different attributes are respectively designed for the pruning decision tree and the division decision tree in advance aiming at different areas. The pruning decision tree attribute considers the difference in RDcost of different neighboring regions from the current CTU region in different ways. The depth values of different neighboring regions and the current CTU region are considered in different ways by partitioning the decision tree in advance.

摘要：【中文】本发明提供了一种基于MEMS激光扫描的手指交互识别系统，包括：激光光源模块，用于发射RGB三色激光；振镜模块，用于接收激光光源模块发射的激光，逐行扫描出投影画面；激光接收模块，用于接收激光成像时反射的激光；深度图像获取模块，用于基于TOF算法，得到与投影画面大小一样的深度图像；指尖检测模块，用深度学习算法得出指尖的位置和深度；手部图像分割模块，用于将手部图像从深度图像中分割出来；确定人手指尖位置；手指动作识别模块，用于基于神经网络和支持向量机分类器进行手指动作识别；手指交互模块，基于确定指尖位置，操控投影画面内容改变。本发明体积小，可手持操作，方便携带；可以实现准确地指尖定位、手势识别，并可通过人手实时操控投影内容。 【EN】The invention provides a finger interaction recognition system based on MEMS laser scanning, which comprises: the laser light source module is used for emitting RGB three-color laser; the galvanometer module is used for receiving the laser emitted by the laser source module and scanning a projection picture line by line; the laser receiving module is used for receiving laser reflected during laser imaging; the depth image acquisition module is used for obtaining a depth image with the same size as the projection picture based on a TOF algorithm; the fingertip detection module is used for obtaining the position and the depth of a fingertip by using a depth learning algorithm; the hand image segmentation module is used for segmenting the hand image from the depth image; determining the position of the finger tip of a person; the finger action recognition module is used for recognizing finger actions based on a neural network and a support vector machine classifier; and the finger interaction module is used for controlling the content of the projection picture to change based on the determined fingertip position. The invention has small volume, can be operated by hand and is convenient to carry; accurate fingertip positioning and gesture recognition can be realized, and projection contents can be controlled in real time through human hands.

摘要：【中文】本发明公开了一种空气净化/蓄能调温系统、方法及多功能墙体，涉及绿色建筑技术领域，该系统包括：进风通道，与第二、第三和第四通风层的一端通量可调的连通；送风通道，与第二、第三和第四通风层的另一端通量可调的连通；第一通风层，后侧面与调温层连通；调温层，夹设于第一和第二通风层之间；第二通风层，前侧面与调温层通量可调的连通，后侧面与蓄能层通量可调的连通；蓄能层，夹设于第二和第三通风层之间；第三通风层，前侧面与蓄能层通量可调的连通，后侧面与过滤吸附层通量可调的连通；过滤吸附层，夹设于第三和第四通风层之间；第四通风层，前侧面与过滤吸附层连通，后侧面安装在承重墙体上。具有能耗低、多功能的优点。 【EN】The invention discloses an air purification/energy storage temperature regulation system, a method and a multifunctional wall body, relating to the technical field of green buildings, wherein the system comprises: the air inlet channel is communicated with one end of the second, third and fourth ventilation layers in an adjustable flux manner; the air supply channel is communicated with the other ends of the second, third and fourth ventilation layers in an adjustable flux manner; the rear side surface of the first ventilation layer is communicated with the temperature adjusting layer; the temperature adjusting layer is clamped between the first ventilating layer and the second ventilating layer; the front side surface of the second ventilation layer is communicated with the temperature adjusting layer in an adjustable way, and the rear side surface of the second ventilation layer is communicated with the energy storage layer in an adjustable way; the energy storage layer is clamped between the second ventilation layer and the third ventilation layer; the front side surface of the third ventilation layer is communicated with the energy storage layer in an adjustable way, and the rear side surface of the third ventilation layer is communicated with the filtering and adsorbing layer in an adjustable way; the filtering and adsorbing layer is clamped between the third ventilation layer and the fourth ventilation layer; and the front side surface of the fourth ventilation layer is communicated with the filtering and adsorbing layer, and the rear side surface of the fourth ventilation layer is arranged on the bearing wall body. Has the advantages of low energy consumption and multiple functions.

摘要：【中文】本发明公开了一种基于用户会话的Web应用测试用例扩充方法，包括有将用户会话与Web页面依赖关系进行用户行为识别分析，得到用户正常行为以及用户异常行为；将用户正常行为进行测试用例转换处理，得到用户正常行为的测试用例，并保存至应用服务器中；将用户异常行为进行测试用例转换处理，得到用户异常行为的测试用例，并保存至应用服务器中。本发明方法所要解决的是对用户行为进行识别分析；并将识别后的用户行为进行测试用例转换，得到扩充的Web应用测试用例。 【EN】The invention discloses a Web application test case expansion method based on user session, which comprises the steps of carrying out user behavior identification analysis on the dependency relationship between the user session and a Web page to obtain the normal behavior and the abnormal behavior of a user; carrying out test case conversion processing on the normal behaviors of the user to obtain a test case of the normal behaviors of the user, and storing the test case into an application server; and carrying out test case conversion processing on the abnormal behaviors of the user to obtain a test case of the abnormal behaviors of the user, and storing the test case into the application server. The method of the invention aims to solve the problem that the user behavior is identified and analyzed; and carrying out test case conversion on the identified user behavior to obtain an expanded Web application test case.

摘要：【中文】本公开是关于一种风光储微电网系统可靠性评估方法，该方法包括：建立风光储微电网系统的风力发电系统、光伏发电系统及储能系统的数学模型；建立可靠性评估指标；采用采集枚举法分别对WTG容量与PV容量、ESS容量与PV容量及ESS功率与PV容量进行基于可靠性评估指标的评估；综合可靠性的评估结果，得出最终可靠性评估结果。本公开通过建立并实施风光储微电网系统可靠性评估方案，得出了风光储微电网系统容量配置方案，提高了风光储微电网系统运行的稳定性。 【EN】The disclosure relates to a reliability evaluation method for a wind-solar storage micro-grid system, which comprises the following steps: establishing mathematical models of a wind power generation system, a photovoltaic power generation system and an energy storage system of the wind-solar energy storage micro-grid system; establishing a reliability evaluation index; estimating WTG capacity and PV capacity, ESS power and PV capacity based on reliability estimation indexes by adopting an acquisition enumeration method; and integrating the reliability evaluation result to obtain a final reliability evaluation result. According to the method, the capacity configuration scheme of the wind-solar storage micro-grid system is obtained by establishing and implementing the reliability evaluation scheme of the wind-solar storage micro-grid system, and the operation stability of the wind-solar storage micro-grid system is improved.

摘要：【中文】本发明涉及一种基于扩张状态观测器的永磁同步电机无模型预测控制方法，方法包括：步骤A:使用线性扩张观测器估计系统的未知和扰动部分，不涉及电机参数；步骤B：将电机参考电流矢量和反馈电流矢量，经过基于扩张状态观测器的永磁同步电机无模型控制器，使用复矢量电流调节器得到参考电压矢量，再经过PWM调制后得到逆变器六路开关信号，实现对电机的控制。本发明解决了传统模型预测控制方案当电机参数不准确时，电机噪音、稳态转矩、电流纹波大、电流静差、系统控制性能变差的问题。 【EN】The invention relates to a model-free predictive control method of a permanent magnet synchronous motor based on an extended state observer, which comprises the following steps: a, estimating unknown and disturbance parts of a system by using a linear extended observer, wherein motor parameters are not involved; and B: and passing the reference current vector and the feedback current vector of the motor through a permanent magnet synchronous motor model-free controller based on an extended state observer, obtaining a reference voltage vector by using a complex vector current regulator, and obtaining six switching signals of the inverter after PWM modulation, thereby realizing the control of the motor. The invention solves the problems of motor noise, steady-state torque, large current ripple, current static error and poor system control performance when motor parameters are inaccurate in the traditional model predictive control scheme.

摘要：【中文】本发明涉及燃气设备安全技术领域，具体涉及一种社区燃气设备风险评估方法及装置。所述方法包括：将风险路径对应的各风险源，以及各风险源对应的标注值，输入至风险评估模型中；根据风险评估模型的输出值大于对应预设阈值的比较结果，确定风险路径存在致灾风险；其中，标注值表征风险源出现故障的可能性。本发明实施例提供的社区燃气设备风险评估方法可细化评估目标，实现精确的致灾风险评估。 【EN】The invention relates to the technical field of gas equipment safety, in particular to a community gas equipment risk assessment method and device. The method comprises the following steps: inputting each risk source corresponding to the risk path and the labeled value corresponding to each risk source into a risk evaluation model; determining that the risk path has disaster-causing risk according to the comparison result that the output value of the risk evaluation model is larger than the corresponding preset threshold value; wherein the annotation value characterizes a likelihood of failure of the risk source. The community gas equipment risk assessment method provided by the embodiment of the invention can refine the assessment target and realize accurate disaster risk assessment.