Automatic oil-based rock debris mixing system and mixing method
By designing an automatic mixing system for oil bedrock cuttings, using convolutional neural network to analyze the mixing images and parameters, and adjusting the delivery parameters in real time, it solves the problem that the mixing ratio is difficult to control and the automatic adjustment of the delivery parameters in the existing system, and achieves an efficient and uniform mixing effect.
Patent Information
- Application Number
- CN202411930311.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2025-03-28
AI Technical Summary
It is difficult for existing oil-bed rock cutting mixing systems to accurately control the mixing ratio and automatically adjust the delivery parameters, resulting in uneven mixing, easy raw materials to be clamped, and low manual judgment accuracy.
An automatic mixing system for oil-bedded rock chips is designed, including wet and dry feeding subsystems, mixers, image acquisition modules and mixing parameter acquisition modules. The mixing images and parameters are analyzed through the convolutional neural network model, and the delivery parameters are adjusted in real time to meet the preset standards.
The precise control of the proportion of oil bedrock cuttings is achieved, artificial errors are avoided, the uniformity and quality of the mixture is improved, and the risk of raw material slabs is reduced.