A water treatment optimization method and system based on microalgae growth prediction

Through multivariate regression calculation and residual splitting gradient optimization, the microalgae growth prediction model was trained, combined with real-time water environment simulation field and spatial hash coding analysis, the problems of low accuracy of microalgae growth prediction and unstable water treatment efficiency were solved, and efficient and economical water quality purification effect was achieved.

CN119954315BActive Publication Date: 2025-08-08XIAN UNIV OF TECH
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Patent Information

Application Number
CN202510425769.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-07
Publication Date
2025-08-08
Estimated Expiration
2045-04-07

AI Technical Summary

Technical Problem

The existing water treatment technology based on microalgae growth has problems such as low accuracy in predicting microalgae growth and unstable water treatment efficiency, resulting in high treatment costs and poor results.

Method used

Through multivariate regression calculation and residual splitting gradient optimization, the microalgae growth prediction model is trained, combined with real-time water environment simulation field and spatial hash coding analysis, a real-time water quality pollution scale thermal model is constructed to achieve accurate prediction of microalgae growth trends and metabolic yields and rapid analysis of water quality purification performance.

Benefits of technology

Accurate prediction of microalgae growth trends and metabolic yields is achieved, water treatment efficiency is improved and costs is reduced, and the stability and rationality of water purification effect is ensured.

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Abstract

The present invention relates to the field of biological sewage treatment technology, and in particular to a water treatment optimization method and system based on microalgae growth prediction. A real-time water pollution parameter set and real-time water environment data for a target water treatment area are obtained, and a real-time water environment simulation field is constructed using the real-time water environment data. A future growth model of microalgae is simulated and generated using the real-time water environment simulation field, and spatial hash coding analysis of the real-time water pollution parameter set is performed to optimize and treat polluted water quality. A real-time water pollution scale thermodynamic model for the target water treatment area is constructed by combining the real-time water pollution parameter set and the real-time water environment data. The real-time water pollution scale thermodynamic model is used to query and determine whether the water pollution scale in the local water treatment area is abnormal, and wastewater treatment with microalgae growth regulation is performed. The present invention can analyze the microalgae growth and sewage purification performance and perform corresponding water treatment operations on it, ensuring rational water management and effectively improving water quality.
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