The invention relates to an optimal parameter determination method for researching the hot oil spraying and heating process of an
oil storage tank, and the method comprises the steps: determining a decision variable according to factors affecting the hot oil spraying and
heating effect of the
oil storage tank in an actual production process; acquiring the actual measurement data of the hot oil spraying and heating process in the experiment
storage tank under different parameters, taking the field cooperation angle, the uniformity, the
heating efficiency and the average temperature rising speedas indexes for evaluating the
heating effect, determining the weight of each index, and obtaining a target function through calculation; establishing a
support vector machine model through the decision variable and the target function; generating an initial
population with the size of M based on the
support vector machine model, and optimizing the target function by adopting a
genetic algorithm;taking the optimal variable as an experimental parameter to carry out an indoor
simulation experiment to obtain a corresponding target function, and if an error between the target function and a
support vector machine result exceeds a certain range, repeating iteration until the error is smaller than the certain range. According to the method, the optimal process parameters can be found, and the calculation precision is ensured to a great extent.