Studies On Temperature Monitoring Of Reactors Producing Oil Gas From Oil Shale Based On Infrared Technologies

As the world’s energy crisis deepens and international oil price soars up. to search substitutes of oil becomes an urgent task for all countries. Oil shale resources are one of alternative energies of oil and natural gas. So use of oil shale to produce shale oil has drawn extensive attention from all countries again, including China where abundant reserves of oil shale are available. Control effects of those oil shale’s reactors have direct influence over outputs of shale oil while detecting and monitoring temperatures in reactors serve as one of key links in control systems of oil shale’s reactors, so it is of necessity to conduct in-depth studies on temperature monitoring of reactors in the process of producing oil from oil shale. This paper has monitored real-time charge level temperature changes in reactors and proposed a non-contact temperature measurement for oil shale’s reactors, by adopting infrared thermography, model-based image processing and temperature field modeling approach together with considerations of technological characteristics specific to oil shale’s reactors.It has studied destructive distillation of oil shale, analyzed and summarized various currently used temperature measurements for ring-shaped reactors, found out problems hindering temperature measurements for ring-shaped reactors. It also analyzes and studies effects of accurate temperature control in destructive distillation furnaces on oil shale’s oil productivity, mainly analyzes influence of temperature changes in destructive distillation furnaces on organic materials, shale oil and carbon residue and finds out optimal temperature control points to get highest-quality shale oil; this paper analyzes effects of temperature in destructive distillation furnaces on pyrolytic gas and obtains optimal temperature control points for maximum yields and highest-quality production of pyrolytic gas, providing the theoretical basis for optimal temperature control regarding different reaction stages in reactors.Reactors have complex internal environments and it is hard to extract charge level features in hot air developing status in rectors. To solve these problems, this paper analyzes charge level temperature field’s relations with charge level infrared heat pictures cross temperature measuring, and so on, coming up with a way to extract charge level temperature features in reactors.Modifications of C-V Model based on AOS format and temperature field partitioning algorithm coupled with background painting techniques (integrating background painting techniques, modified C-V Model and semi-implicit AOS) for infrared heat pictures which enables automatic segmentation of the temperature field in infrared heat pictures are proposed.Through considering margin-based and region-based active contour models, this paper puts forward an infrared thermography multiple-temperature-field region detection method based on a global optimum active contour model, enabling effective detection in infrared heat pictures’temperature fields and successful extraction of charge level temperature features. This resolves recognition difficulties caused by similar target and background colors plus unclear margins in temperature field regions under various shapes in infrared heat pictures (especially concave-shaped ones) and heat pictures.From the viewpoint of processes and mechanisms, it analyzes charge level temperature field’s relations with multi-source information including infrared heat pictures in reactors, cross temperature measuring and so on, as well as extraction techniques based on charge level temperature field’s isothermal lines and other features in infrared heat pictures. To solve the problem brought by difficulty to establish an accurate charge level temperature field model with use of single detecting information, this paper proposes a charge level temperature field modeling approach for reactors based on information fusion. Specifically, this approach fully uses reactors’cross temperature measuring information via two-point-based dynamic temperature calibrating of temperature fields. Simulation results show that this approach have favorable generalization ability and accuracy, confirming this approach’s feasibility and excellence.This paper sets up a charge level temperature field monitoring system based on information fusion by using the modeling approach proposed. This system uses a visualized interface to show the charge level temperature field model, presenting charge level temperature distributions in a more visual way and providing real-time reliable reference information to reactor operators.Regarding probability of lid-breaking in oil shale’s reactors, this paper conducts early warning studies in reactors’lid-breaking incidents and makes clear mechanisms underlying such incidences by using infrared thermal imaging techniques and considering temperature changes’ trends and laws in different regions of heat pictures. First, it establishes a simulation experiment facility for reactors with use of infrared thermography technologies and obtains infrared heat pictures through such facility in the event of lid breaking. Second, it analyzes and summarizes forming processes of slow and instant lid breaking plus change laws in different regions’ temperature curves when lid breaking occurs by studying infrared heat pictures and variation trends in different regions’temperature curves; by doing these, it obtains occurring conditions detectable in the event of lid breaking through infrared heat pictures, thus enabling early warning for lid breaking to avoid accidents.