The real-time measurement of heat flux is an important challenge for several industrial applications including furnace control. For efficient operation of high-temperature process furnaces, accurate and stable temperature measurements are needed. Directional Flame Thermometers (DFTs) offer the ability to use both temperature and heat flux measurements for furnace control. Currently, analysis of dynamic temperature data from the DFTs to compute heat flux information must be performed off-line based on the gathered data by using a full-non-linear inverse heat conduction problem (IHCP) analysis. Availability of a near real-time algorithm for accurate reduction of the data will allow for continual monitoring of the furnace during operation. This will result in better furnace control and significant savings in energy and cost. The purpose of this paper is to provide a solution strategy based on filter concept for the inverse heat conduction problem associated with DFT. The filter based solution has the capability of heat flux estimation in a near real time manner. Two IHCPs are discussed and a coupled solution is proposed to estimate the unknown surface heat flux. The solution procedure is then validated using numerical test cases. Results are then computed using data from a physical experiment with DFT (see Reference [13]). The heat fluxes obtained are found in satisfactory agreement with those obtained from a full non-linear IHCP analysis.

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