The intelligent application of defoamer mainly realizes real-time monitoring, automatic control and optimized management of foam by integrating modern scientific and technological means, such as Internet of Things, sensors, big data analysis and artificial intelligence.

Install sensors in key production links or equipment, such as foam height sensor, gas concentration sensor, etc., to monitor the generation and change trend of foam in real time. These sensors can accurately perceive key parameters such as the amount of foam generated, distribution area and duration.

Use high-definition camera and advanced image recognition algorithm to monitor foam visually. Through image analysis, the generation speed and concentration of foam can be accurately judged, providing reliable data support for subsequent intelligent control.

The data obtained from sensors and image recognition technology is transmitted to an intelligent controller, which has powerful data processing and decision-making capabilities. According to the preset defoaming strategy, the intelligent controller can automatically calculate the required amount of defoaming powder to be added and

control the precise addition of the dosing pump and other actuators.

Establish a closed-loop feedback mechanism, monitor the defoaming effect in real time, and dynamically adjust the defoaming strategy based on the feedback results. If the amount of foam is still high, properly increase the amount of defoamer; If the foam has been effectively controlled, reduce the dosage to avoid waste.

Collect and store a large amount of production data and defoaming data, and use big data analysis techniques to explore the patterns and trends behind the data. Through the analysis of historical data, we can predict the formation of future foam and formulate countermeasures in advance. Optimize the production process and defoaming

process using artificial intelligence algorithms. Through machine learning and other technological means, continuously improve the efficiency and effectiveness of defoaming powder, reduce production costs, and enhance product quality.

Establish a remote monitoring system to achieve remote monitoring and management of the production site and defoaming process. Through terminal devices such as smartphones and tablets, production data and defoaming effects can be viewed anytime and anywhere, problems can be detected in a timely manner, and measures can be

taken to solve them.

The integrated fault diagnosis and early warning function can automatically send out early warning signals and propose solutions when abnormal conditions occur during production (such as sudden increase of foam volume, sensor failure, etc.). This helps reduce downtime and improve production efficiency.

In conclusion, the intelligent application of defoamer realizes real-time monitoring, automatic control and optimized management of foam by integrating modern scientific and technological means. This not only improves production efficiency and product quality, but also reduces production costs and environmental risks. With the continuous

advancement of technology and the expansion of application scenarios, the intelligent application prospects of defoaming powder will be even broader.