HYDRAN M2-X Use the WISE series of intelligent edge computing controller, the use of GPRS(3G/4G) will be scattered throughout the UK wind turbine vibration data transmission to the monitoring center located in London, and through the IoTstar equipment management software, easily from the remote monitoring and management of wind turbine status, through the presentation of data, It can also be provided to managers as a reference index for predictive maintenance of wind turbines.
The client is a well-known building contractor in the UK who provides refurbishment, repair or regular maintenance services. The soil under the base of the fan tower column is easy to loosen under the long-term load, which causes the deformation of the base, resulting in the abnormal phenomenon of irregular shutdowHYDRAN M2-X n of the fan, which affects the operation efficiency of the fan and increases the subsequent maintenance cost. In order to ensure the normal operation of the wind turbine, the customer used to send people to the site to record the turbine vibration data of the wind turbine, but this method is time-consuming, therefore, the customer hopes to use IIoT technology, the machine vibration data through wireless, real-time display to the monitoring center in London, monitoring center can not only obtain real-time abnormal information, but also analyze the usual monitoring data of the wind turbine. Do preventive maintenance to reduce maintenance costs caused by downtime. This case will illustrate how Hongge’s cloud data visualization solution can assist this customer in remote real-time monitoring of a wind turbine base.
The solution architecture can be divided into two parts: the wind turbine field end and the HYDRAN M2-X monitoring center. In the wind turbine field end, use the WISE-523IM-3GWA intelligent edge computing controller, with XV310 DI/DO expansion board, The turbine vibration data collected by the Linear Variable Differential Transformer (LVDT) displacement sensor located at 4 points around each wind turbine base is transmitted to the monitoring center through GPRS(3G). The computer in the monitoring center is equipped with CG IoTstar device management software to achieve real-time monitoring of the wind turbine base. Its description and structure are as follows:
