How does the AUTO smart dust sensor of the cordless smart vacuum cleaner work?

At the optical detection level, the AUTO smart dust sensor of the cordless smart vacuum cleaner cleverly uses the scattering and absorption characteristics of light. When a carefully designed beam of parallel monochromatic light penetrates the air inlet of the vacuum cleaner and shoots towards the inhaled dust area, These tiny particles and molecules become "scatters" of light. Light interacts with particles and causes scattering. That is, the light wave propagates away from its original direction when it encounters the particle surface. At the same time, part of the light energy is absorbed by the particles and converted into heat energy or other forms of energy. This process causes the light intensity of the originally parallel light beam to undergo significant attenuation after passing through the dust area, and the degree of attenuation directly reflects the concentration of dust.
In order to convert this light intensity change into a processable electrical signal, the sensor has built-in high-precision photoelectric conversion elements, such as photodiodes or photomultiplier tubes. These components can efficiently convert the received light signal into a corresponding current or voltage signal, the intensity of which directly corresponds to the change in light intensity, that is, the concentration of dust. This analog electrical signal is then sent to the vacuum cleaner's microprocessor for further processing and analysis.
The microprocessor is responsible for receiving, interpreting and responding to electrical signals from the dust sensor. Through built-in complex algorithms, the microprocessor can calculate the dust concentration of the current environment in real time and make intelligent decisions based on this. For example, when a sudden increase in dust concentration is detected, the microprocessor will quickly adjust the vacuum cleaner's motor speed and increase suction power to ensure that these pollutants are removed quickly and effectively. At the same time, it may further optimize the cleaning mode based on factors such as floor material and usage habits to achieve a personalized cleaning experience.
The application of AUTO intelligent dust sensor not only makes the cordless intelligent vacuum cleaner achieve a qualitative leap in cleaning efficiency, but also greatly improves its energy-saving performance. By accurately adjusting suction power and speed, unnecessary waste of energy is avoided and the service life of the battery is extended. In addition, for users, this intelligent cleaning method greatly reduces the burden of manual adjustment, making household cleaning easier and more convenient. Users only need to press the start button to enjoy the cleanliness and comfort brought by smart technology.
When dust particles get inside a sensor, they exert a force on the sensor's piezoelectric material, triggering the piezoelectric effect. Piezoelectric materials deform under force, and this deformation is converted into electrical signals. The strength of the electrical signal is related to the size, density and other characteristics of dust particles. The microprocessor inside the vacuum cleaner receives and analyzes this electrical signal, calculates information such as the size and density of dust particles in the cleaning area through the built-in AI algorithm, and automatically adjusts the suction power and speed accordingly.
Whether it is AUTO smart dust sensors based on optical principles or piezoelectric principles, they can achieve real-time monitoring and intelligent adjustment of inhaled dust. This intelligent adjustment capability not only improves cleaning efficiency, but also makes household cleaning easier and more efficient. At the same time, because the sensor can accurately sense the ground environment and dust concentration, it can also reduce energy consumption and noise to a certain extent and improve user experience. In specific products, the specific implementation of AUTO smart dust sensors may be different. They all aim to improve cleaning effects and user experience through intelligent sensing and adjustment.