Intelligent solid waste environment-friendly treatment system and method

By analyzing key parameters in the landfill process through real-time monitoring and deep learning algorithms, and dynamically adjusting the pH of leachate, the problem of low degradation efficiency caused by fixed pH adjustment strategies has been solved, thus realizing intelligent and efficient degradation in the landfill process.

CN120861567AInactive Publication Date: 2025-10-31郑州洁普智能环保技术有限公司
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Patent Information

Application Number
CN202510973628.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-15
Publication Date
2025-10-31
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the current landfill process, the fixed pH adjustment strategy cannot adapt to the dynamic changes in the waste biodegradation process, resulting in insufficient stimulation of microbial activity, low degradation efficiency, and possible inhibition of key microbial communities, making it difficult to achieve global optimization control.

Method used

By monitoring parameters such as leachate pH and landfill gas composition in real time, deep learning algorithms are used to analyze the waste biodegradation process and dynamically adjust the pH of leachate to meet the needs of different degradation stages, thus providing the optimal biochemical environment.

Benefits of technology

It improves waste degradation efficiency and gas production rate, realizes intelligent and phased control of the landfill process, and optimizes the biochemical environment of microbial communities.

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Abstract

The invention relates to the technical field of environment-friendly treatment, and particularly discloses an intelligent solid waste environment-friendly treatment system and method.According to the intelligent solid waste environment-friendly treatment system and method, municipal waste is subjected to landfill, leachate generated in the biodegradation process of the municipal waste is collected, and meanwhile key state parameters such as the pH value of the leachate and landfill gas components in the degradation process are monitored in real time; a deep learning algorithm is introduced to carry out sequential evolution mode analysis on multi-dimensional key state parameters in the degradation process, meanwhile, the current biodegradation reaction stage is self-adaptively recognized in combination with the current reacted time, and then an adaptive recharge leachate target pH value is determined based on the recognition result of the reaction stage. And adjusting the pH value of the collected leachate according to the pH value of the collected leachate, and recharging the adjusted leachate into the landfill area to dynamically adjust the pH value environment of the leachate. According to the method, the optimal biochemical environment can be provided for microbial flora in different stages through intelligent sensing and staged regulation and control of the garbage degradation process, so that the garbage degradation efficiency and the gas production rate are improved.
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