E. S. Soldatov


The article discusses the issues of collecting, processing and transmitting information during remote monitoring of the condition of stationary and transport cryogenic equipment used for long-term storage of cryogenic products. A solution to the problem of preventive informing dispatch services and the operating organization about the presence of a technical malfunction of a cryogenic vessel is outlined, which leads to an increase in vacuum pressure in the thermal insulation cavity, which causes an increased heat flow from the environment and a significant change in pressure in the internal vessel over time. The structure of the information system for monitoring the condition of cryogenic equipment is presented and a description is given of the computational algorithm for calculating the assessment of the technical condition of the screen-vacuum thermal insulation of a cryogenic vessel based on the deviation of the pressure growth rate, as well as the algorithm for calculating the assessment of the time of drainless storage taking into account changes in vacuum pressure in the heat-insulating cavity.


computational algorithm; cryogenic equipment; equipment monitoring; remote monitoring; drainless storage


Chen L., Ai B., Chen S., Liang G. Simulation of Self-Pressurization in Cryogenic Propellant Tank. 12th International Conference on

Heat Transfer, Fluid Mechanics and Thermodynamics, 2016, pp. 1068--1073.

Ryazhskikh V.I., Sumin V.A., Khvostov A.A., Zhuravlev A.A., Semenikhin O.A. Numerical Simulation of Thermoconcentration Convection in Cryogenic Tanks. Mathematical Methods in Engineering and Technology, 2020, vol. 5, pp. 17--20. (in Russian)

Soldatov E., Bogomolov A. Issues of Energy-Efficient Storage of Fuel in Multimodal Transport Units. Smart Innovation, Systems and Technologies, 2022, no. 232, pp. 393--402. DOI: 10.1007/978-981-16-2814-6_34

Kang M., Kim J., You H., Chang D. Experimental Investigation of Thermal Stratification in Cryogenic Tanks. Experimental Thermal and Fluid Science, 2018, vol. 96, pp. 371--382. DOI: 10.1016/j.expthermflusci.2017.12.017

Ustolina F., Scarponib G., Iannacconeb T., Cozzanib V., Paltrinieri N. Cryogenic Hydrogen Storage Tanks Exposed to Fires: a CFD Study.

Chemical Engineering Transactions, 2022, no. 90, pp. 535--540.

DOI: 10.3303/CET2290090

Soldatov A.S., Soldatov E.S. Controlling the Equipment State Throughout the Industrial Life Cycle of the Product Using Digital Twin. Lecture Notes in Networks and Systems, 2023, vol. 722, pp. 624--631. DOI: 10.1007/978-3-031-35311-6_60

Bo W., Ruoyin L., Hong C. Characterization and Monitoring of Vacuum

Pressure of Tank Containers with Multilayer Insulation for Cryogenic

Clean Fuels Storage and Transportation. Applied Thermal Engineering, 2021, vol. 187, p. 116569.

Lee S., Haskins C., Paltrinier, N. Digital Twin Concept for Risk Analysis of Oil Storage Tanks in Operations: a Systems Engineering Approach. Chemical Engineering Transactions, 2022, vol. 90, pp. 157--162. DOI: 10.3303/CET2290027

Short M., Twiddle J. An Industrial Digitalization Platform for Condition Monitoring and Predictive Maintenance of Pumping Equipment. Sensors, 2019, no. 19, p. 3781. DOI: 10.3390/s19173781

Mourtzis D., Angelopoulos J., Panopoulos N. Intelligent Predictive Maintenance and Remote Monitoring Framework for Industrial Equipment

Based on Mixed Reality. Frontiers in Mechanical Engineering, 2020, no. 6. DOI: 10.3389/fmech.2020.578379

Balyk O., Zolotaeva M., Bogomolov A., Soldatov A. Cyber-Physical Test Facility for Certification of Robotic Unmanned Aerial Systems. Lecture Notes in Networks and Systems, 2023, 596 LNNS, pp. 385--396. DOI: 10.1007/978-3-031-21435-6_33

Huerta F., Vesovic V. CFD Modelling of the Isobaric Evaporation of Cryogenic Liquids in Storage Tanks. International Journal of Heat and Mass Transfer, 2021, no. 176, p. 121419. DOI: 10.1016/j.ijheatmasstransfer.2021.121419

Soldatov E.S. Computational Algorithm for Predicting the Time of Non-Drain Cryoproducts Storage in Stationary and Transport Vessels. Belgorod State University Scientific Bulletin. Economics. Information technologies. 2019, vol. 46, no. 3, pp. 485--495. (in Russian) DOI: 10.18413/2411-3808-2019-46-3-485-495

Soldatov E., Bogomolov A. Decision Support Models and Algorithms for

Remote Monitoring of the Equipment State. CEUR Workshop Proceedings. Iss. "ITIDMS 2021--Proceedings of the International Scientific and Practical Conference "Information Technologies and Intelligent Decision Making Systems", 2021, pp. 1--8.

Strotos G., Malgarinos I., Nikolopoulos N., Gavaises M. Predicting the Evaporation Rate of Stationary Droplets with the VOF Methodology for a Wide Range of Ambient Temperature Conditions. International Journal of Thermal Sciences, 2016, no. 109, pp. 253--262. DOI: 10.1016/j.ijthermalsci.2016.06.022

Saufi A., Calabria R., Chiariello F., Frassoldati A., Cuoci A., Faravelli T., Massoli P. An Experimental and CFD Modeling Study of Suspended Droplets Evaporation in Buoyancy Driven Convection. Chemical Engineering Journal, 2019, no. 375, article ID: 122006. DOI: 10.1016/j.cej.2019.122006

Soldatov E.S., Soldatov A.S. Monitoring the State of Vehicles with Dangerous Goods in Cyber-Physical Systems. Studies in Systems, Decision and Control, 2023, no. 477, pp. 277--285. DOI: 10.1007/978-3-031-33159-6_22

Kartuzova O.V., Kassemi M., Umemura Y., Kinefuchi K., Himeno T. CFD

Modeling of Phase Change and Pressure Drop During Violent Sloshing of

Cryogenic Fluid in a Small-Scale Tank. AIAA Propulsion and Energy 2020 Forum, 2020. DOI: 10.2514/6.2020-3794

Tobin D., Bogomolov A., Golosovskiy M. Model of Qrganization of Software Testing for Cyber-Physical Systems. Studies in Systems, Decision and Control, 2022, no. 418, pp. 51--60. DOI: 10.1007/978-3-030-95120-7_5

Larkin E., Akimenko T., Bogomolov A., Sharov V. Reliability of Robot's Controller Software. Lecture Notes in Computer Science, 2023, vol. 14214, pp. 289--299. DOI: 10.1007/978-3-031-43111-1_26

Larkin E.V., Akimenko T.A., Bogomolov A.V. Modeling the Reliability of the Onboard Equipment of a Mobile Robot. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2021, vol. 21, no. 3, pp. 390--399. DOI: 10.18500/1816-9791-2021-21-3-390-399

Larkin E.V., Akimenko T.A., Bogomolov A.V. The Swarm Hierarchical Control System. Lecture Notes in Computer Science, 2023, vol. 13968, pp. 30--39. DOI: 10.1007/978-3-031-36622-2_3

Lee D.-Y., Jo J.-S., Nyongesa A.J., Lee W.-J. Fatigue Analysis of a 40 ft LNG ISO Tank Container. Materials, 2023, vol. 16, p. 428. DOI: 10.3390/ma16010428


  • There are currently no refbacks.