摘要：【中文】本发明涉及一种基于位置信息的风机群控地址自动分配方法。本发明基于RS485的MODBUS协议，实现带有距离、位置信息的风机群控的自动地址分配方法。通过RS485总线连接多台风机，第1台风机的上行接口连接网关或计算机，下行接口和第2台风机相连，依次连接所有风机；本方法先将每个风机上、下行接口信号隔离，然而通过网关对第1台风机配置起始地址，并设置风机上、下行接口为通路，依次将地址增加配置余下的风机。本发明为了克服风机没有供电总线不连接的缺陷，设计了一种将上、下行接口的物理连接常闭接口，风机控制系统可以控制上、下行接口的状态，地址分配算法也增加了错误检查，新风机增加的自动地址分配功能。 【EN】The invention relates to a fan group control address automatic allocation method based on position information. The invention is based on the RS485 MODBUS protocol, and realizes the automatic address allocation method of the fan group control with distance and position information. The system is characterized in that a plurality of fans are connected through an RS485 bus, an uplink interface of the 1 st fan is connected with a gateway or a computer, and a downlink interface is connected with the 2 nd fan and is sequentially connected with all the fans; the method firstly isolates signals of an uplink interface and a downlink interface of each fan, configures an initial address for the No. 1 fan through a gateway, sets the uplink interface and the downlink interface of the fan as a passage, and sequentially adds the address and configures the rest fans. In order to overcome the defect that the fan is not connected with a power supply bus, the invention designs the normally closed interface for physically connecting the uplink interface and the downlink interface, the fan control system can control the states of the uplink interface and the downlink interface, the address allocation algorithm also increases error check, and the new fan is added with an automatic address allocation function.

摘要：【中文】本发明涉及一种电力系统自动化技术领域的基于LSTM‑Morlet模型的分布式光伏发电系统短期预测方法，经过样本数据归一化、短期天气分类和建立光伏发电预测模型的步骤，提出采用其变种长短期记忆神经网络LSTM建立光伏发电预测模型，使用Morlet小波函数作为LSTM模型的激活函数,通过实验证明，使用Morlet小波函数作为激活函数以及加上天气指标参数，对于LSTM模型的发电预测效果都有明显的提升；本发明具有收敛速度快和预测精度高的优点。 【EN】The invention relates to a distributed photovoltaic power generation system short-term prediction method based on an LSTM-Morlet model in the technical field of power system automation, which comprises the steps of sample data normalization, short-term weather classification and photovoltaic power generation prediction model establishment, proposes to establish a photovoltaic power generation prediction model by adopting a variant long-term and short-term memory neural network LSTM, uses a Morlet wavelet function as an activation function of the LSTM model, and has obvious improvement on the power generation prediction effect of the LSTM model by using the Morlet wavelet function as the activation function and adding weather index parameters through experiments; the method has the advantages of high convergence rate and high prediction precision.

摘要：本发明涉及阀门技术领域，特别是一种控制阀门，其包括，主体部件，包括阀体、设置于所述阀体上侧的支撑座、设置于所述支撑座上的固定板、设置于所述固定板上的刻度尺、以及设置于所述支撑座上的弧形板；调节部件，包括设置于所述支撑座上的调节组件、设置于所述调节组件侧壁的限位组件、设置于所述调节组件上的转动组件、设置于所述支撑座内的阀芯组件、以及设置于所述阀芯组件上的升降组件；连接部件，包括设置于所述支撑座内的两个连接组件、设置于所述固定板上的滑动组件；其能够快速关断充氢管道，并能够在充氢过程中精细化调节开度，根据规定合理控制充氢、排氢速率，提高补排氢气过程的稳定性和安全性。

摘要：本发明提供一种ETC异常交易处理系统，包括：路侧单元、车道控制模块和交易终端；路侧单元用于进行ETC交易，将交易数据发送至车道控制模块；车道控制模块在交易异常的情况下，生成交易异常信息并发送至交易终端；交易终端接收交易异常信息后，生成异常处理申请指令发送至车道控制模块；车道控制模块接收异常处理申请指令后，关闭路侧单元并生成异常处理响应指令返回给交易终端；交易终端接收异常处理响应指令后，广播射频信号，使车辆的车载单元接收射频信号后与交易终端建立通信通道，返回车辆信息和车载单元信息；交易终端基于车辆信息和车载单元信息，按照交易异常信息的指示完成补充操作。本发明能够解决ETC异常交易处理成功率和效率较低的问题。