Volatile organic compounds (VOCs) are one of the main pollutants in modern coal chemical production. Coal chemical industry is an important part of China's petrochemical fields, and through coal direct liquefaction device the clean utilization of coal can be realized. As the equipment, materials, operating conditions of the coal to oil plant are different from petrochemical enterprise, the related equation for petrochemical industry in China does not apply to coal direct liquefaction plant, and there is no relevant equation for the accounting of the coal to oil plant in China at present. Therefore, this paper studied VOCs detection method of coal-to-oil unit, modified the coefficient of relevant equation, and obtained the VOCs accounting equation of sealing point. Firstly, the leakage and maintenance (LDAR) detection was carried out on the coal-to-oil unit, and the VOCs leakage data of the sealing point of coal-to-oil unit was obtained. On the basis of data analysis, the sampling method of bagging method was improved, and the sealing point sampling and analysis of coal direct liquefaction unit was carried out. On this basis, the correction coefficient of the relevant equation of the U.S. federal environmental protection agency (EPA) was obtained, and the relevant equation applicable to the VOCs leakage accounting of domestic coal-to-oil plant was put forward. Finally, considering the influence of parameters such as moving distance, temperature, pressure and multiple leaks on the correlation equation, the EPA correlation equation of the coal direct liquefaction unit was calibrated, the BP neural network model was established, and correlation function with good approximation result was obtained.