2results about How to "Adaptable to change" patented technology

The utility model belongs to the technical field of separation devices, and particularly relates to a dioctyl terephthalate distillation system which comprises a distillation tower, a plurality of tower plates arranged in the distillation tower, a heat exchanger connected to the bottom of the distillation tower, a product storage tank connected to the top of the distillation tower and a stirring assembly arranged in the distillation tower, the stirring assembly comprises a stirring paddle and a spiral stirrer, the stirring paddle is located at the bottom of the distillation tower, a plurality of corrugated plates and a plurality of flow guide covers are arranged in the distillation tower, the corrugated plates are located above the flow guide covers, and the flow guide covers are located above the stirring paddle. According to the utility model, the space in the distillation tower is divided into three parts according to functions, and each section adopts a proper internal component, so that the optimization of the distillation effect is realized.

This invention belongs to the field of environmental emergency technology, specifically disclosing a method for analyzing the treatment effect of oily wastewater based on image recognition. It addresses the problems of traditional methods such as infrared and ultraviolet methods for measuring oil content in water, which involve numerous instruments, cumbersome operations, long processing times, and poor adaptability to various scenarios. This invention combines deep learning-based target detection technology with microscopic images of oily wastewater. A target detection model is used to learn and train on the number, volume, and color of emulsified oil droplets in wastewater with different oil contents, treatment processes, and oil types. In field applications, the target detection model is used to identify and calculate the microscopic images of oily wastewater, thereby quickly predicting the oil content. This method is highly operable, accurate, and enables real-time analysis of the treatment effect of oily wastewater, while also being highly adaptable to changes in application scenarios.