self-x-AIPI - Asphalt Burner power predictor and Efficiency calculator: V1.0.0
This record consists of several scripts and files designed to calculate and visualize the efficiency of a burner, as well as predict the burner power using a neural network model. This model consists of a sequential neural network with multiple layers. Both using the model and visualizing the graphs require the data to be in the format provided in the example dataset.
We have developed this tool to facilitate users with calculations, visualizations, and predictions related to the analysis of the efficiency of a burner housed in the oven of an asphalt plant.
With this tool, the user should provide their dataset with the appropriate variables as shown in the example. Once this is done, the tool will calculate the historical efficiency of the burner and provide a series of graphs for analysis. These include correlations between variables, a line graph, flowcharts, etc.
Furthermore, by training the machine learning algorithm with the data provided by the user, it will be possible to calculate the power that should be given to the burner based on the amount of material being heated and the desired temperature to achieve the best possible efficiency.
For this predictive analysis, a calorific efficiency of the burner has been considered at 80%. However, this value can be modified at the user's choice within the code.