Crystal Image Recognition for Evaporation Endpoint Control
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Solution Overview
Problem
Existing methods for determining the evaporation endpoint in salt separation crystallization of ammonia-nitrogen wastewater are inaccurate, leading to mixed sodium chloride and ammonium chloride products that fail to meet quality standards.
Innovation Solution
A system employing image recognition technology to determine the evaporation endpoint using an industrial microscope and a crystal database to identify sodium chloride and ammonium chloride crystals, allowing precise control of the evaporation and crystallization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If indirect control methods (liquid level monitoring or solid-liquid ratio) are used to determine evaporation endpoint, then the control system is simple to operate, but the measurement precision is insufficient leading to mixed products
Solution Approach 1:
The patent replaces indirect mechanical control methods (liquid level monitoring, solid-liquid ratio measurement) with direct optical detection using an industrial microscope and image recognition system. This substitution enables direct observation and identification of crystal morphology to determine the evaporation endpoint accurately, resolving the contradiction between measurement precision and device complexity by using optical fields instead of mechanical measurement systems.
Solution Approach 2:
The patent introduces an intermediary element - the sampling platform with industrial microscope - that collects crystal samples from the evaporation interface and provides magnified images for analysis. This intermediary enables indirect observation of the evaporation endpoint through crystal morphology without requiring direct intervention in the evaporation process, thus maintaining operational simplicity while achieving high measurement precision.
2Productivity
If evaporation continues beyond the optimal endpoint, then more sodium chloride can be produced, but ammonium chloride contamination increases reducing product purity
Solution Approach 1:
The patent implements a feedback control mechanism where the image recognition system continuously monitors crystal morphology at the evaporation interface and provides real-time information about the evaporation endpoint. This feedback enables precise control of the evaporation process to stop at the optimal point when sodium chloride crystallization is complete but before ammonium chloride begins to co-precipitate, thus maximizing both productivity and manufacturing precision.
Solution Approach 2:
The patent uses preliminary action by analyzing crystal morphology changes in advance to predict the evaporation endpoint. The sampling platform collects crystals early in the evaporation process and the image recognition system identifies morphological transitions that indicate approaching the optimal endpoint, allowing proactive adjustment of evaporation conditions to prevent ammonium chloride contamination while maximizing sodium chloride yield.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurate separation of sodium chloride and ammonium chloride, enhancing product quality, increasing production efficiency, and reducing energy consumption.
Implementation Method 1
an industrial microscope is disposed on the sampling platform to collect crystals
Implementation Method 2
evaporation and crystallization process of ammonia-nitrogen wastewater
Implementation Method 3
salt separation crystallization can be performed on sodium chloride-ammonium chloride wastewater to produce sodium chloride and ammonium chloride
Data Source
AI summary
The present disclosure relates to the technical field of resource utilization of ammonia-nitrogen wastewater and in particular to a system for determining an evaporation endpoint by image recognition in an evaporation and crystallization process of an ammonia-nitrogen wastewater. The key points of the technical scheme are as follows: the system includes an evaporator, a sampling platform, a data transmission module, and an image recognition system; the sampling platform is disposed below an evaporation interface of the evaporator to collect crystals dropping from the evaporation interface and collect image information of the crystals; the data transmission module is configured to transmit data of the sampling platform to the image recognition system; the image recognition system is configured to process the image information of the crystals obtained by the sampling platform and determine an evaporation and crystallization endpoint.