Sensors are the key components to achieve industrial automation and intelligence, and play a vital role in the industrial field. In particular, with advances in the Internet of Things (IoT) and artificial intelligence (AI) technologies, the vast amount of data collected by sensors can be analyzed and leveraged to enable predictive maintenance, optimized production processes, and customized production. These smart sensors not only improve production efficiency, but also help enterprises achieve higher levels of management and control.

1797-OB4D At the recent Shenzhen International Sensor and Application Technology Exhibition (Sensor Shenzhen), more than 600 global sensor industry chain companies collectively appeared, comprehensively presenting the latest technologies and solutions in the field of perception. As a pioneer and pioneer in the field of sensors, ADI brought a series of cutting-edge sensing solutions to the exhibition, fully demonstrating its deep accumulation and forward-looking vision in promoting sensor technology innovation and application expansion.

Leading the new trend of motor predictive maintenance

In the rapid development of industrial automation today, the motor as the heart of the industry, its performance and maintenance has been the focus of manufacturing enterprises. Traditional motor maintenance relies on manual inspection, which is not only inefficient, but also prone to misjudgment. With the progress of science and technology, especially the integration of sensors and artificial intelligence technology, predictive maintenance of motors has ushered in revolutionary changes. In this wave, ADI, with its innovative sensor products and deep industry experience, is leading the new trend in predictive motor maintenance.

1797-OB4D

At this exhibition, ADI’s OtoSense Smart Motor Sensor solution (SMS) attracted the attention of many visitors.

According to CAI Zhenyu, Industrial Marketing Director of ADI China, OtoSense SMS is a system-level solution consisting of data acquisition and communication hardware fixed to the motor heat sink, cloud-based software and algorithms, and client-side applications.

1797-OB4D A unique feature of the scheme is that it does not have to be placed inside the motor, but is placed in the motor shell through vibration, magnetic field and temperature to judge the operation of the motor, just like the old Chinese medicine pulse, through continuous monitoring and combining AI capabilities, it can diagnose 9 common mechanical and electrical failures of the motor, and give corresponding instructions or warnings before these failures occur. In addition, by uploading the collected data to the cloud for analysis and learning, the system is able to continuously iterate and optimize the technology by updating software algorithms and transferring them to edge devices.