Soil stabilizer production monitoring method and system based on Internet of Things
By deploying an IoT sensor network in the soil stabilizer production line and employing differentiated sampling frequencies and multi-level parameter decomposition models, the problems of signal interference and data acquisition blind spots in traditional monitoring have been solved. This has enabled precise monitoring and dynamic process parameter control of the soil stabilizer production process, thereby improving product quality and production efficiency.
Patent Information
- Application Number
- CN202511186311.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-23
- Publication Date
- 2025-12-02
AI Technical Summary
Traditional soil stabilizer production monitoring suffers from numerous blind spots, severe data delays, and limited processing capabilities, making it difficult to accurately capture changes in key parameters. This affects the stability and consistency of product quality. Furthermore, the production process lacks traceability, making it difficult to adjust process parameters according to different application scenarios. Consequently, product qualification rates fluctuate greatly, and energy and resource waste is severe.
An IoT sensor network is deployed in the soil stabilizer production line, using a tree topology and multi-protocol compatible communication to implement differentiated sampling frequency control. Combined with multi-level parameter decomposition and anomaly detection models, process parameter adjustment schemes are generated through multivariate correlation analysis and Bayesian optimization algorithms to achieve precise monitoring and dynamic control.
It enables precise monitoring of key parameters at different production stages, reduces sensor network energy consumption, extends equipment life, detects potential quality risks in advance, optimizes process parameters, and improves product quality consistency and production efficiency.