Abstract:
A knocking presence evaluation circuit in an internal combustion engine having at least a pressure sensor (3) facing in combustion chamber for each cylinder comprised in the engine itself and suitable to detect a pressure signal ( Pr_Sign ). Advantageously, the circuit comprises:
a processing block (7), connected, in correspondence with an input terminal (IN4) of the knocking presence evaluation circuit (4), to the pressure sensor (3) and receiving therefrom the pressure signal ( Pr_Sign ), the processing block (7) performing a processing of the pressure signal ( Pr_Sign ) for insulating the oscillations and generating a derived pressure signal ( Fl_Pr_Sign ); an acquisition block (8), connected at input to the processing block (7) and receiving therefrom the derived pressure signal ( Fl_Pr_Sign ), the acquisition block (8) generating a first and a second measure signals ( Pul_Cnt, Pul_Dur ) respectively corresponding to a number and a total duration of digital pulses obtained from said derived pressure signal ( Fl_Pr_Sign ); and a soft-computing block (9) connected at input to the acquisition block (8) and receiving therefrom the first and second measure signals ( Pul_Cnt, Pul_Dur ) and connected to an output signal (OUT4) of the knocking presence evaluation circuit (4) to which the output terminal supplies a knocking intensity index ( Knock_index ), calculated by soft-computing techniques, starting from the first and second measure signals ( Pul_Cnt, Pul_Dur ).
A knocking identification and control system associated with an internal combustion engine and a processing method of a pressure signal for the detection and the evaluation of a combustion phenomenon in an internal combustion engine are also described.
Abstract:
The system can be used for the automatic analysis of images (I), comprising a matrix of spots, such as images of DNA microarrays after hybridisation. The system can be associated - and preferably integrated in a single monolithic component implementing VLSI CMOS technology - to a sensor (10) for acquiring said images (I). The system comprises a circuit (20) for processing the signals corresponding to the images (I), configured according to a cellular neural network (CNN) architecture for the parallel analogue processing of signals.