摘要：【中文】一种排气系统消声器辐射噪声计算方法，其包括如下步骤：S1：从仿真软件中提取需要分析的消声器内部各个腔体的静压曲线；S2，通过分析过程开发时完成的转换工具进行前处理，将静压转换成频谱激励；S3，针对消声器进行有限元建模，并且进行频响计算；S4，提取计算结果，并将计算结果合成瀑布图和总声压曲线；S5，对总声压曲线和瀑布图进行评估，如不通过，则返回调整结构，从步骤S1再次开始评估；如通过，则完成了消声器辐射噪声分析的步骤，转而进入样件制作阶段。相较于现有技术，本发明提高了消声器开发前期风险的识别能力，使得原本依赖试验和反复迭代的开发过程得以简化，节省开发成本和时间。 【EN】A method for calculating radiation noise of a silencer of an exhaust system comprises the following steps: s1: extracting a static pressure curve of each cavity in the silencer to be analyzed from simulation software; s2, preprocessing the conversion tool completed in the development of the analysis process, and converting the static pressure into frequency spectrum excitation; s3, carrying out finite element modeling on the silencer and carrying out frequency response calculation; s4, extracting a calculation result, and synthesizing the calculation result into a waterfall graph and a total sound pressure curve; s5, evaluating the total sound pressure curve and the waterfall chart, if the total sound pressure curve and the waterfall chart do not pass through, returning to the adjusting structure, and starting the evaluation again from the step S1; if the noise passes, the step of analyzing the radiated noise of the silencer is completed, and the manufacturing stage of the sample piece is started. Compared with the prior art, the method improves the identification capability of the early-stage risks of the silencer development, simplifies the original development process depending on tests and repeated iteration, and saves the development cost and time.

摘要：【中文】一种排气阀，其包括阀座、固定于所述阀座的支架、能够相对所述阀座打开或者关闭的阀盖、固定在所述支架上且用以抵压所述阀盖的弹片以及用以在所述弹片变形时抵靠所述弹片的压片，其中所述阀座包括安装部以及开口，所述阀盖与所述开口相配合，所述阀盖包含轴，所述轴安装在所述安装部与所述支架之间，当所述阀盖相较于所述开口打开或者关闭时，所述弹片能够相对于所述阀盖滑动。本发明通过将轴安装在所述安装部与所述支架之间，通过简单的机械装配就能实现。另外，通过弹片来实现阀盖打开或者关闭的功能，省略了扭簧，降低了成本。 【EN】An exhaust valve, its includes the disk seat, be fixed in the support of disk seat, can be relative the disk seat is opened or the valve gap of closing, is fixed on the support and be used for supporting press the shell fragment of valve gap and be used for when the shell fragment supported when warping the preforming of shell fragment, wherein the disk seat includes installation department and opening, the valve gap with the opening cooperatees, the valve gap contains the axle, the axle is installed the installation department with between the support, when the valve gap compare in when the opening was opened or was closed, the shell fragment can for the valve gap slides. The present invention can be realized by a simple mechanical assembly by mounting the shaft between the mounting portion and the bracket. In addition, the function of opening or closing the valve cover is realized through the elastic sheet, a torsion spring is omitted, and the cost is reduced.

摘要：【中文】一种排气系统的虚拟路谱仿真分析方法，其包括如下步骤：S1：按照实际的路试标准规范，在虚拟试验场中完成整个路试环节，并提取出关键位置处的信号；S2：对上述信号进行处理，作为有限元计算的输入；S3：对排气系统的数模进行离散化网格建模；S4：进行相关性调试，使有限元模型和实际模型的相关性参数模态置信准则值满足要求；S5：利用调试后的有限元模型以及步骤S1中得到的加速度曲线信号进行计算，得出排气系统的模态应力以及每阶模态的参与因子；S6：利用耐久分析软件计算得出每个关键位置处的损伤和安全系数。相较于现有技术，本发明虚拟的方法具有周期短、成本低、精度可靠的优点。 【EN】A virtual road spectrum simulation analysis method of an exhaust system comprises the following steps: s1: according to the actual road test standard specification, completing the whole road test link in a virtual test field, and extracting a signal at a key position; s2: processing the signals as input of finite element calculation; s3: carrying out discretization grid modeling on a digital model of the exhaust system; s4: performing correlation debugging to enable correlation parameter modal confidence criterion values of the finite element model and the actual model to meet requirements; s5: calculating by using the debugged finite element model and the acceleration curve signal obtained in the step S1 to obtain the modal stress of the exhaust system and the participation factor of each order of modes; s6: and calculating the damage and the safety factor of each key position by using durability analysis software. Compared with the prior art, the virtual method has the advantages of short period, low cost and reliable precision.

摘要：【中文】本发明实施例提供一种账户标识管理方法及设备，该方法包括：接收任一系统发送的账户标识请求，其中所述账户标识请求携带所述任一系统的设备信息；根据所述设备信息，确定所述任一系统的节点分配规则；根据所述节点分配规则确定集群节点，以使所述集群节点生成账户标识；根据所述任一系统的设备信息生成路由规则信息；将所述任一系统的账户标识和路由规则信息的对应关系，存储在所述集群节点的路由数据库中。由于是集群节点对各系统的账号标识的生成和管理，可以满足物联网大规模的系统同时接入的情况，提高账号标识的生成和管理高并发的能力，实现对物联网数量庞大的各种系统的账户标识的有效管理。 【EN】The embodiment of the invention provides an account identifier management method and device, wherein the method comprises the following steps: receiving an account identification request sent by any system, wherein the account identification request carries equipment information of any system; determining a node allocation rule of any system according to the equipment information; determining cluster nodes according to the node distribution rule so that the cluster nodes generate account identifications; generating routing rule information according to the equipment information of any system; and storing the corresponding relation between the account identification of any system and the routing rule information in a routing database of the cluster node. Because the cluster node generates and manages the account identification of each system, the condition of simultaneous access of large-scale systems of the Internet of things can be met, the high concurrency capability of the generation and management of the account identification is improved, and the effective management of the account identification of various systems with large quantity of the Internet of things is realized.

摘要：【中文】一种考虑新一代调相机影响的直流静态功率极限值计算方法，包括(1)建立交、直流系统间的关联模型；(2)计算调相机进相运行和滞相运行发出极限值；(3)计算额定条件下直流的换相角和与逆变侧关联参数；(4)求解等值交流系统的电势和直流母线电压功角；(5)以直流电流为变量，求解各相关电气量；(6)判断计算所得调相机所提供的无功是否在其允许发出的无功功率范围内；若在范围内，则以直流电流为为独立变量，求解直流功率；否则进入步骤(7)；(7)将计算所得的调相机发出无功功率值用调相机能发出的无功功率极限值代替，返回步骤(5)。本发明使得直流传输功率极限值与实际更加吻合，为实际运行中提升直流传输能力提供重要参考。 【EN】A direct current static power limit value calculation method considering the influence of a new generation phase modulator comprises the steps of (1) establishing a correlation model between overpasses and direct current systems; (2) calculating the phase-in operation and phase-lag operation sending limit values of the phase modifier; (3) calculating a direct current commutation angle and parameters related to an inversion side under a rated condition; (4) solving the potential of the equivalent alternating current system and the direct current bus voltage power angle; (5) solving each related electrical quantity by taking the direct current as a variable; (6) judging whether the reactive power provided by the phase modulator is in the range of the reactive power allowed to be sent out by the phase modulator; if the direct current is within the range, the direct current is taken as an independent variable, and the direct current power is solved; otherwise, entering the step (7); (7) and (5) replacing the reactive power value sent by the phase modulator by the reactive power limit value which can be sent by the phase modulator, and returning to the step. The invention makes the limit value of the direct current transmission power more consistent with the actual value, and provides an important reference for improving the direct current transmission capability in the actual operation.

摘要：【中文】本发明提供一种基于卷积神经网络的中文签名笔迹鉴定方法，首先采集本人重复签名和他人代签手写图片，得到签名图像，对签名图像两两组合形成数据集D和以及与数据集D对应的标签集T，其次对签名图像进行处理，包括改变签名图像的大小、灰度化处理、二值化处理和去噪处理后形成数据集D′，将数据集D′划分为训练集和测试集，然后构造多层卷积神经网络，通过构造适合识别签名笔迹差异的损失函数，利用数据集D′、标签集T、损失函数对多层卷积神经网络进行训练得到多层卷积神经网络模型，最终利用所述多层卷积神经网络模型实现对中文签名笔迹的鉴定。本发明可用来鉴定签名是否为本人笔迹，方法简单实用，可为电网行业各种工作票签名鉴定提供依据。 【EN】The invention provides a Chinese signature handwriting identification method based on a convolutional neural network, which comprises the steps of firstly collecting repeated signature of a person and handwritten pictures signed by others instead to obtain a signature image, the signature images are combined pairwise to form a data set D and a tag set T corresponding to the data set D, secondly, processing the signature image, including changing the size of the signature image, carrying out graying processing, binarization processing and denoising processing to form a data set D ', dividing the data set D' into a training set and a test set, and then constructing a multilayer convolutional neural network, training the multilayer convolutional neural network by utilizing the data set D', the tag set T and the loss function to obtain a multilayer convolutional neural network model by constructing a loss function suitable for identifying the difference of the signature handwriting, and finally identifying the Chinese signature handwriting by utilizing the multilayer convolutional neural network model. The method can be used for identifying whether the signature is the handwriting of the person, is simple and practical, and can provide a basis for identifying various working ticket signatures in the power grid industry.