Intelligent operation and maintenance of small chemical pumps – a lightweight monitoring approach based on pump current fingerprints

Thread Content

Rotating equipment is widely used in various fields of the chemical industry. In addition to traditional large-scale compressors, factories also have a variety of small pumps. Due to the large number and wide distribution of these pumps, traditional inspection methods can only cover those that are particularly important; many small but critical pumps end up being overlooked, which undoubtedly poses safety risks to the reliable operation of the factory. Here comes the question: is there a lightweight monitoring solution that is low-cost, easy to deploy, and capable of providing accurate and reliable early warnings? Chengdu Qing Entropy Data Technology Company offers a fault early warning and diagnosis technology for motors and their loads, based on electrical parameters. Utilizing AI-driven algorithms, it extracts the current fingerprints of pumps and motors, enabling the prediction of equipment failures in advance. It can accurately predict mechanical failures such as bearing issues in equipment, as well as electrical failures like insulation burnout in motor coils. Its design is lightweight, making it suitable for large-scale deployment in small pumps.