How does artificial intelligence land?
Artificial intelligence is currently one of the most sought after technologies, but there is always a distance from the laboratory to the realization of application scenarios. How to promote the application of artificial intelligence should be paid more attention by the industry. Recently, the reporter participated in a media meeting organized by Avnet, and Zhong Qiaohai, senior director of Avnet's Asian supplier and product management, introduced several artificial intelligence cases developed by the company. Artificial intelligence technology has gradually penetrated into more and more industry practices.
IoT fault prediction and health management system
With the improvement of people's awareness of environmental protection, clean energy has gradually replaced fossil fuels such as oil and natural gas. However, there are still some problems with the collection and application of clean energy. For example, most wind power systems are deployed in remote areas. How to maintain wind turbines is a big problem. The average cost of a wind turbine is $ 3.5 million. Maintenance costs reached $ 350,000. Repairs require 3 months of downtime.
If the wind power generation system is equipped with a fault prediction and health management system, maintenance costs will be greatly reduced. According to the introduction, the fault prediction and health management system will use industrial sensors to detect wind turbine vibration to collect wind turbine vibration data, and transmit this data to the back-end server for artificial intelligence analysis through the gateway. Diagnose wind turbine faults and take predictive maintenance with artificial intelligence big data analysis. This approach will increase the uptime of wind turbines, increase productivity, and proactively maintain wind turbines to reduce maintenance costs.
Internet of Things Intelligent Manufacturing System
Industrial automation and intelligent upgrades have been increasingly applied in practice. Artificial intelligence is of great help to industrial automation and intelligence. The intelligent manufacturing system of the Internet of Things is one of such cases. The system will use industrial sensors in the factory automation system to detect equipment status, use cameras to implement machine vision, collect real-time data and use smart cameras to pre-process the data, and diagnose product defects in real time through artificial intelligence reasoning. The robot can operate the product based on the feedback data. The resulting metadata will also be transmitted to the back-end server for data analysis and management. It can detect defective products on the production line faster and more accurately, more intelligently identify different types of products on the same production line, and improve production yield and reduce defective products through artificial intelligence big data analysis.
Internet of Things Intelligent Agriculture System
Artificial intelligence Internet of Things has also been widely used in agriculture. In the case of the intelligent agricultural system of the Internet of Things, farmland data such as temperature, humidity, and light can be collected through wireless sensors, and wireless data can be transmitted to the back-end server through a gateway, and environmental parameters can be analyzed by combining big data and artificial intelligence technology. The adoption of this system can increase crop yields and grow higher value crops, and provide farmers with real-time analysis information to promote the development of planting technology.
Smart city system
The application of intelligent monitoring and intelligent traffic management systems in cities has become relatively popular. The smart city system will use smart cameras to collect data, perform multi-channel artificial intelligence inference through the gateway artificial intelligence box, perform face, gesture, license plate recognition, etc., and manage big data in the software framework of the back-end server. Traffic will become smoother and more efficient; more important is to provide drivers with real-time traffic information, which can improve city safety with limited management manpower.
Zhong Qiaohai, senior director of supplier and product management for Avnet Asia, said that Avnet, as one of the world's largest technology solution providers, has many supplier partners. They all offer many artificial intelligence scenarios. But Avnet's most important role is to integrate a lot of artificial intelligence scenarios, turn it into some real solutions, and make it truly fall into the market in a short time.
Editor-in-chief: Chen Bingxin