Industrial data analysis applications, general data sources: smartphone sensing devices, Internet of Things, social media and other cloud storage systems. The official ACD website features many industrial cases, such as
Wind energy. commercial production scenarios
< p>Wind turbines have a blade that must be replaced over time or it is dangerous. In the past, the blade was usually replaced every 10 years because there was no way of knowing its usage. specific product and can only be estimated based on the past aging of the blade. But this company has installed sensors on the blades to detect the specific usage of each blade. In locations with strong winds, the blades age quickly and may need to be replaced every 8 years. In places with uniform wind, some blades can last 15 years. years. This saves capital renewal costs.In addition, in the past, this company only produced equipment. This equipment was sold abroad and he did not know where it was installed. Using sensors, the company can know where these generators are installed. the wind strength in these places is strong or weak, and on which days of the year there is wind and rain, this data can be obtained. Based on this data, we can know which areas are rich in wind resources and plan the future market accurately. Traditional industries can use Big Data to better predict the market, improve sales and carry out counterattacks in minutes.