According to the problems encountered in the fan industry, Witium launched the "blower prediction system solution", which carries out the health status analysis and early warning fault analysis of blower for the monitoring of the operation status of large blower on the user's site, forms a professional blower prediction and health diagnosis report, and gives maintenance suggestions. Witium's blower prediction solution brings great commercial value to users:

  The fault prediction solution of large-scale fan uses the high-frequency vibration sensor of the Internet of things to collect the vibration waveform samples and surface temperature of the equipment, and generate the vibration characteristic samples of large-scale fan equipment; The edge computing gateway collects the three-phase winding temperature and lubricating oil temperature of large fan through platinum resistance to understand the operating load state of large fan. Combined with the vibration characteristics of the sensor, the intelligent mechanism model algorithm is used to analyze the sampled data, so as to predict the faults of large fan equipment such as imbalance, misalignment, looseness, gear wear and bearing aging; Then upload the data samples and analysis learning results to the witcloud Internet of things data cloud platform through mqtt; The SaaS business cloud platform of the solution provides users with status monitoring, scene monitoring, fault management, operation and maintenance management, equipment management, customer management, authority management and other functions; It also provides data interface function to facilitate users to import equipment status into intelligent factory operation and maintenance platform system. At the same time, the business cloud platform provides professional users with operation status analysis, early warning fault analysis of large-scale fan equipment through big data analysis tools, and forms professional large-scale fan equipment health diagnosis reports and maintenance suggestions.