Geological disasters, such as landslides, mudslides, earthquakes, etc., often occur suddenly and bring heavy blows to human society. These disasters not only consume lives and destroy homes, but also cause serious damage to infrastructure and hinder socio-economic development. In order to effectively prevent geological disasters and reduce their losses, accurate monitoring is crucial, and sensors play an irreplaceable key role in it.

Environmental pollutants mainly include pesticides, heavy metals, microplastics, and harmful microorganisms, which mainly come from industrial and agricultural production activities and pose a threat to the ecological environment and human health. To effectively manage environmental pollutants, it is necessary to accurately detect and quantify their levels in the corresponding environmental media. Currently, various digital on-site real-time monitoring technologies based on sensors and probes are effective means of identifying environmental pollutants.

This work proposes a simple and universal strategy, which involves coating an acidic protonated ZSM-5 (HZSM-5) coating layer to eliminate ethanol inhibition without affecting the inherent sensing performance. The HZSM-5 coating deposited on the oxide sensor exhibits excellent detection performance. Even at trace concentrations, formaldehyde (HCHO) can have harmful effects on human health. It can effectively eliminate ethanol interference without changing the response or response time of HCHO.

In today's rapidly developing technology, sensors, as key components for obtaining information, are widely used in various fields. Eddy current sensors play an important role in industrial production, scientific research experiments, and other fields due to their unique advantages. So, what are the testing methods for eddy current sensors? Let's unveil its mysterious veil together.

In the process of moving towards intelligence and automation in the automotive industry, sensors have become a key core component of cars, like the "nerve endings" of cars, helping cars perceive the external environment and their own state, thereby achieving precise control and efficient operation. Currently, sensors are widely and deeply applied in the automotive field, from power systems to safety systems, from comfort configurations to intelligent driving, all of which rely on the support of sensors.

Artificial intelligence technology is crossing and integrating with disciplines such as precision instruments, optoelectronic information, the Internet of Things, and automation in an unprecedented manner, giving rise to an innovative model of "artificial intelligence+X" composite professional training. The aim is to break down disciplinary barriers and cultivate composite talents with knowledge and innovation capabilities in multiple fields, in order to meet the needs of rapid technological iteration and industrial upgrading.