초록 ▼

Liquid gauging apparatus using a time delay neural network for determining a quantity of liquid in a container that is not directly measurable by sensors is disclosed. The apparatus comprises a plurality of sensors and a processor. Each of the sensors are capable of measuring a respective parameter

Liquid gauging apparatus using a time delay neural network for determining a quantity of liquid in a container that is not directly measurable by sensors is disclosed. The apparatus comprises a plurality of sensors and a processor. Each of the sensors are capable of measuring a respective parameter of the liquid and for producing a time varying sensor output signal representative of the respective parameter measured thereby. The processor is programmed to process the sensor output signals by a time delay neural network algorithm to determine a current quantity of the liquid in the container based on current and past parameter measurements of the sensor output signals. Also disclosed is a method of training a time delay neural network algorithm for computing a quantity of liquid in a container from current and past liquid parameter sensor measurements. The method comprises the steps of: establishing a dynamic model of liquid behavior in the container and parameter measurements of the liquid behavior sensed by a plurality of sensors; deriving from the dynamic model training data sets for a plurality of liquid quantity values, each data set comprising current and past liquid parameter sensor measurement values corresponding to a liquid quantity value of the plurality, and the corresponding liquid quantity value; and training the time delay neural network algorithm with the derived training data sets.

대표청구항 ▼

Liquid gauging apparatus using a time delay neural network for determining a quantity of liquid in a container that is not directly measurable by sensors is disclosed. The apparatus comprises a plurality of sensors and a processor. Each of the sensors are capable of measuring a respective parameter

Liquid gauging apparatus using a time delay neural network for determining a quantity of liquid in a container that is not directly measurable by sensors is disclosed. The apparatus comprises a plurality of sensors and a processor. Each of the sensors are capable of measuring a respective parameter of the liquid and for producing a time varying sensor output signal representative of the respective parameter measured thereby. The processor is programmed to process the sensor output signals by a time delay neural network algorithm to determine a current quantity of the liquid in the container based on current and past parameter measurements of the sensor output signals. Also disclosed is a method of training a time delay neural network algorithm for computing a quantity of liquid in a container from current and past liquid parameter sensor measurements. The method comprises the steps of: establishing a dynamic model of liquid behavior in the container and parameter measurements of the liquid behavior sensed by a plurality of sensors; deriving from the dynamic model training data sets for a plurality of liquid quantity values, each data set comprising current and past liquid parameter sensor measurement values corresponding to a liquid quantity value of the plurality, and the corresponding liquid quantity value; and training the time delay neural network algorithm with the derived training data sets. ce of inquiry. 18. The information furnishing apparatus for coping with an emergency during driving an automotive vehicle as defined in claim 16, wherein said automotive vehicle side equipment comprises time detection means for detecting the current time, and the current time as detected by said time detection means is comprised in said information inquiry request by said information acquisition means. 19. The information furnishing apparatus for coping with an emergency during driving an automotive vehicle as defined in claim 16, wherein said common equipment comprises time detection means for detecting the current time, and said information retrieval unit acquires the current time of a time point of reception of the information inquiry request from said time detection means. 20. The information furnishing apparatus for coping with an emergency during driving an automotive vehicle as defined in claim 16, wherein said common equipment comprises time detection means for detecting the current time, and said automotive vehicle side device comprises: an automotive vehicle control device generating a control signal for coping with an unusual occurrence in the automotive vehicle, and a correlation table stating the correlation between the control signal generated by said automotive vehicle control device and the type name specifying the type of the service useful in overcoming the unusual occurrence, said emergency situation decision means, on occurrence of said control signal from said automotive vehicle control device, acquiring the type name corresponding to the generated control signal from said correlation table. 21. The information furnishing apparatus for coping with an emergency during driving an automotive vehicle as defined in claim 16, wherein at least a portion of the service purveyors information stored in said service information storage unit is the CM information aired by data broadcast. 22. An information furnishing apparatus provided on an automotive vehicle carrying a data broadcast receiver, for coping with an emergency during driving said automotive vehicle, comprising: (a) extraction means for extracting, from the information received by said data broadcast receiver, the service purveyors information including at least contents information having at least names of the service purveyors, type nam