Self-cleaning filters help large manufacturing parks achieve intelligent operation and maintenance of their cooling water systems.

1.Customer Background:
In a large automotive parts manufacturing park, the cooling water system of the central air conditioning system has long been plagued by the problem of impurity blockage. Traditional filters require frequent manual cleaning, which incurs high maintenance costs and poses a risk of unplanned downtime.
2. Challenges:
• The open structure of the cooling tower is prone to inhaling impurities from the air
• The filters frequently get clogged, requiring monthly shutdown for cleaning
• Manual cleaning is time-consuming and labor-intensive, affecting the normal production schedule
• There is a risk of equipment operation failure due to poor filtration
3. Solution:
Configure an intelligent self-cleaning filter system for the customers. It is made of stainless steel and equipped with an intelligent control system, enabling fully automatic operation.

4. Implementation Effect:
Say goodbye to manual cleaning completely.
The filter achieves fully automatic cleaning and drainage, without the need for human intervention. This saves a significant amount of maintenance time each year.
Ensure continuous and stable operation
The self-cleaning process does not affect the normal operation of the system, completely eliminating the risk of shutdown caused by filter blockage.
Improve the operational efficiency of the system
Maintain the cleanliness of the heat exchange pipeline, enhance the heat exchange efficiency, and reduce the system’s energy consumption

Customer review:
“This intelligent filtration system has completely addressed our pain points. Now we no longer have to worry about cooling water filtration. The equipment operates stably and reliably, truly achieving unmanned operation and providing a strong guarantee for production.”
Case Value:
This project demonstrates the successful application of self-cleaning filters in the field of industrial water treatment. Through intelligent transformation, it helps customers achieve cost reduction and efficiency improvement, enhance system operational reliability, and is a typical practice of modern industrial intelligent upgrading.