An intelligent cleaning system based on monitoring and evaluating pollution conditions and a method thereof

By monitoring and assessing surface pollutants through an intelligent cleaning system and dynamically adjusting cleaning priorities, the system solves the problem of traditional systems struggling to handle complex pollution, achieving efficient resource allocation and cleaning results.

CN122414728APending Publication Date: 2026-07-17ZHEJIANG EAST VOCATIONAL TECH COLLEGE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG EAST VOCATIONAL TECH COLLEGE
Filing Date
2026-06-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional water pollution cleanup systems are ineffective at handling complex pollution, unable to monitor and assess the risk levels of various pollutants in a timely manner, leading to irrational allocation of cleanup resources and making it difficult to avoid ecological crises.

Method used

An intelligent cleaning system was designed, including a pollutant type module, a pollutant degree characteristic module, and a composite verification module. The system monitors the type and degree of pollutants through aerial photography and water testing data, assesses risky pollutants, performs composite verification of synergistic and antagonistic effects, and dynamically adjusts the cleaning priority.

Benefits of technology

It enables precise assessment and dynamic adjustment of complex pollution, prioritizes the treatment of high-risk areas, avoids resource waste, reduces operation and maintenance costs, and improves cleaning efficiency.

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Abstract

This invention discloses an intelligent cleaning system and method based on monitoring and assessing pollution. The intelligent cleaning system includes a pollutant type module, a pollution degree characteristic module, a risk pollutant module, and a composite verification module. The pollutant type module acquires the types of pollutants in the water body through aerial photography and water quality monitoring. The pollution degree characteristic module identifies anomalies in various pollution degree characteristics based on their feature values. The risk pollutant module identifies the types of risk pollutants based on anomalies in their pollution degree characteristics. The composite verification module verifies the risk level of risk pollutants by analyzing the combined effects of synergistic and antagonistic interactions between pollutants, updates and corrects the risk level of risk pollutants, and adjusts cleaning priorities. This application enables the rational allocation of cleaning resources and avoids the risk of ecological crises.
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