The associated system diagrams are defined as - Figure 2 primary air supply 3 and secondary air supply 4."/>
Highly-parallel neural network with multiprocessors on the NVIDIA GK110 GPU for controlling a waste disposal tank
Successful learning (neural network) of combustion control of an incinerator, characterized in that the following measuring inputs and control outputs are used using the network structure (Drawing 2 - Figure 3 network topology of the neural network): E: Input ►Measure, A: Output ►Control, KKS: power plant marking system, x: select, /: not selected
KKS plain text e A HAD10CP001 drum pressure × / HBK10FT901 Feuerraumtemp × / HHC00AS001 Task Q Target of Force Oil% × / HHC21CP001 Task pressure P1 × / HHC22CP001 Task pressure P2 x / HLA10CF001 Gesamtluftmeng gesammt × / HLA20CP001 Primary air pressure × / HLA31CP001 Air pressure roller 1 x / HLA31FP901 Dynamic pressure under roller 1 x / HLA32CP001 Dynamic pressure under roller 2 × / HLA33CP001 Dynamic pressure under roller 3 × / HLA34CP001 Dynamic pressure under roller 4 × / HLA35CP001 Dynamic pressure under roller 5 × / HLA50CF001 Total air flow total × / HLA50CP001 Secondary air pressure × / HLA61CF001 Secondary air quantity rear wall × / HLA71CF901 Secondary air quantity front wall x / HNA10CQ001 O2 1 train × / HNA20CQ001 O2 Kesselende × / HNA20CQ003 CO boiler end × / HNA70CQ005 CO fireplace × / LBA10CP001 FD-pressure × / LBA10FF901 FD-Volume × / LBA10FT901 FD-temperature × / HHC00DU001 Load controller cornering / × HLB10AS001 Swirl flap primary air / × HLB10AS001 Swirl flap primary air / × HLA31AA001 Air flap 1 / × HLA32AA001 Air damper 2 / × HLA33AA001 Air damper 3 / x HLA34AA001 Air damper 4 / × HLA35AA001 Air damper 5 / x HLA61DF001 Secondary air damper rear wall / × HLA71DF001 Secondary air flap front wall / × HNA10DQ901 O2 controller / × LBA10DF001 Load controller leading [t / h] / x
The associated system diagrams are defined as - Figure 2 primary air supply 3 and secondary air supply 4.
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