The article presents an improved model of an automated heat treatment system (ASUTP) for a tomato juice canning machine. The main focus is on the development and verification of a model that optimizes control actions in order to improve the quality of the finished product at minimal energy and economic costs. The methodological basis of the study was statistical and mathematical methods describing the change in the textural characteristics of tomato juice during pasteurization. The analysis of the heat treatment revealed the key parameters affecting the sensory and microbiological properties of the product. The developed automated control system model has been tested on a laboratory installation using modern control and measuring equipment and software based on the Siemens S7-1200 controller and the SCADA interface. Optimal pasteurization parameters (85 °C, 5 minutes) have been experimentally established, ensuring the preservation of color, texture and organoleptic characteristics with guaranteed microbiological stability. The developed adaptive control model makes it possible to significantly increase the efficiency of the technological process, demonstrating a reduction in energy consumption by 12-15% while minimizing product quality deviations of less than 5%. The practical significance of the study lies in the possibility of increasing the profitability of production by reducing scrap by 18-20%, reducing energy consumption and stabilizing product quality. The proposed methodology has significant potential for applications in the processing of other liquid food products and can be adapted to modernize existing production lines. Integration with Industry 4.0 systems, the development of predictive algorithms based on machine learning, and the creation of digital counterparts for various types of food raw materials are considered promising areas for further development of the research. The results obtained confirm the high efficiency of the proposed approach from both technological and economic points of view, opening up new opportunities for improving heat treatment processes in the food industry.

1. Xu Q., Adyatni I., Reuhs B. Effect of Processing Methods on the Quality of Tomato Products. Food and Nutrition Sciences. 2018. vol. 9. no. 2. pp. 1-13. doi: 10.4236/fns.2018.92007.

2. Jeż J., et al. Quality Parameters of Juice Obtained from Hydroponically Grown Tomato Processed with High Hydrostatic Pressure or Heat Pasteurization. International Journal of Food Science. 2020. 4350461. doi: 10.1155/2020/4350461.

3. Illera A.E., Sanz M.T., Trigueros E., Beltrán S., Melgosa R. Effect of High Pressure Carbon Dioxide on Tomato Juice: Inactivation Kinetics of PME and Quality Parameters. Journal of Food Engineering. 2018. vol. 239. pp. 64-71.

4. Porretta S., Rovere P., Birzi G., Ghizzoni R., Vicini M. Combined High Pressure and Thermal Treatments for Processing of Tomato Puree: Microbial and Quality Evaluation. Innovative Food Science and Emerging Technologies. 2018. vol. 5. no. 1. pp. 9-16.

5. Badin E.E., Mercatante M.M., Mascheroni R.H. Effect of Pasteurization on Color, Ascorbic Acid and Lycopene of Crushed Tomato: Computational Study with Experimental Validation. Journal of Food Engineering. 2023. vol. 337. 111218. doi: 10.1016/j.jfoodeng.2022.111218.

6. Lucini L., Rocchetti G., Kane D. Phenolic Fingerprint Allows Discriminating Processed Tomato Products and Tracing Processing Sites. Food Control. 2019. vol. 73. pp. 696-703. doi: 10.1016/j.foodcont.2018.10.030.

7. Sapei L., et al. Impact of Food Matrix and Processing on the Bioaccessibility of Vitamin C in Fruit-Juice Beverages. Journal of Functional Foods. 2020. vol. 67. 103112. doi: 10.1016/j.jff.2020.103112.

8. Szczepańska J., et al. ABTS, FRAP Assessment of Açaí Juice Affected by High-Pressure and Thermal Pasteurization. Innovative Food Science and Emerging Technologies. 2019. vol. 52. pp. 249-258. doi: 10.1016/j.ifset.2018.12.004.

9. Singh P., Heldman D. Mathematical Modeling of Microwave-Assisted Continuous Flow Pasteurization. Journal of Food Process Engineering. 2018. vol. 41. no. 4. e12851. doi: 10.1111/jfpe.12851.

10. Aguiar E.M., Gut J.A. Experimental and Numerical Evaluation of Continuous Pasteurization of Açaí Pulp. Journal of Food Engineering. 2022. vol. 313. 110756. doi: 10.1016/j.jfoodeng.2021.110756.

11. Ferreira A.G., Pinto J. Time-Temperature Modeling for Continuous HTST Pasteurization Using Plate Heat Exchangers. Food and Bioprocess Technology. 2018. vol. 11. pp. 145-155. doi: 10.1007/s11947-017-1993-1.

12. Porretta S., et al. Heterogeneous Flow Model for Pasteuriser Design. Chemical Engineering Science. 2018. vol. 175. pp. 1-10. doi: 10.1016/j.ces.2017.09.020.

13. Analysis of Environmental Impact & Pasteurization in Tomato Industry. Frontiers in Sustainable Food Systems. 2024. vol. 8. 1400274. doi: 10.3389/fsufs.2024.1400274.

14. Sui X., Zhang T., Jiang L. Soy Protein Molecular Structure and Processing Technologies. Annual Review of Food Science and Technology. 2021. vol. 12. pp. 49-68. doi: 10.1146/annurev-food-062520-093352.

15. Zhu L., Spachos P., Pensini E., Plataniotis K. Deep Learning and Machine Vision for Food Processing: Survey. arXiv. 2021. 2103.16106.

16. Tsynaeva A.A., Tsynaeva E.A. Study of automated heat consumption control systems. Urban Development and Architecture. 2018. no. 12 (43). pp. 45-50. (in Russian).

17. Dyachenko E.P., Aleksandyan I.Yu., Razin O.A., Ivanova M.I. Study of the influence of convective energy supply on the intensity of infrared drying of tomato fruits. Scientific Journal of NRU ITMO. Series: Processes and Equipment of Food Production. 2019. no. 4. pp. 12-18. (in Russian).

18. Shislenko D.M., Bastron A.V. Mobile helio-drying unit for drying fruits of berry crops. Bulletin of KRASGAU. 2018. no. 6 (141). pp. 23-28. (in Russian).

19. Popov V.M., et al. Mathematical modeling of the drying process using film electric heaters. Modern Trends in Technological Development of Agro-Industrial Complex. 2019. pp. 112-118. (in Russian).

20. Viktorov A.S. Automation of technological processes in the processing of raw materials of plant origin. Bulletin of ASTU. 2020. no. 3. pp. 45-50. (in Russian).

21. Chusova A.E., Zharkova I.M., Korkina A.V., Pronkina A.A., Khitsenko V.P. Alcoholic and non-alcoholic drinks with tomato products. Equipment and Technology of Food Production. 2022. vol. 52. no. 3. pp. 34-40. (in Russian).

22. Features of high-tech processing of tomatoes. Journal "Living and Bio-Inert Systems". 2022. no. 15. pp. 67-72. (in Russian).

23. Mathematical modeling of the tomato juice evaporation process. 7Universum Magazine. 2019. no. 12. pp. 45-50. (in Russian).