Taking a water quality field analyzer as an example, a solution is proposed based on embedded and neural network. The hardware and the software design are introduced in detail. Then we sum up the complex nonlinear relation between the evaluation standard and the evaluation results through the continual study and training of BP neural network, and finally establish the BP neural network model. The system has wide application prospect with the advantages of small volume, low cost, high reliability, etc.
Abstract:The geological storage of carbon dioxide is a practical and effective method to reduce the greenhouse effect,In order to prevent the leakage of carbon dioxide bring about a serious impact on the environment, the need to carry out in situ online monitoring of pH value to determine the dynamics of underground carbon dioxide.In this paper,a high precision and low drift pH value online monitoring instrument based on temperature compensation is designed with MSP430F5438 as the core.The software flow chart and the relationship the pH value,the electrode signal and the temperature of the measured liquid,the hardware structure of the instrument and software process are introduced.By comparing pH standard solution and field water sample test, the measurement accuracy of the instrument is about 0.05pH,this instrument can meet the needs of online monitoring,have been used for engineering monitoring and have a wide range of application prospects.
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