The challenge is to estimate the readiness of oven through the process parameters. The current estimation is based on heuristics like colour and flame on the coke bed, which is inaccurate and leads to burning loss. Ideal solution is to measure the readiness of the oven through imaging sensors.
The readiness of the oven denotes the completion of coking process in the coke bed which is currently being estimated by visual inspection of colour of the bed – bright yellow coke signifies the completeness of the process.
Absence of flames and clear visibility of coke bed also denotes completeness of process. The real problem occurs when the coke is held for longer time after coking – it starts burning and leading to burning losses. In the manual process, the burning losses are high due to lack of operator training, missing on time detection by operator, etc. Currently, temperature is measured manually through pyrometer.
The solution should be able measure the readiness of the oven by integrating imaging sensors or thermal cameras on the pushing cart (equipment which helps to push hot coke from the oven) on real time. Pushing cart can move around the ovens and inspect the oven readiness. Then, it should be to alert the operator of readiness on time and should have provision to store and analyse the data