Abnormality detection method, abnormality protection method, data detector, and dac system

Abstract

The invention discloses an anomaly detection method, an anomaly protection method, a data detector and a DAC system. The anomaly detection method based on DAC is applied to detection of input data ofa digital-to-analog converter. The method comprises the steps that according to the sequence of input data of the digital-to-analog converter, after the number of the input data reaches a preset detection counting threshold value, judging whether the number of zero crossing points in the input data is abnormal or not , and meanwhile whether signal energy of the input data is abnormal or not is judged; and if the two judgment results are both true, determining that the input data is abnormal. The anomaly protection method comprises the following steps: after determining that input data is exceptional, sending an interrupt signal to an external CPU, modifying an input data source, reconfiguring internal parameters of the digital-to-analog converter, and continuing to execute the exception detection method. The data detector is used for executing the modular device of the anomaly detection method, and the DAC system comprises the data detector which is matched with the CPU to complete anomaly detection of the input data of the digital-to-analog converter.

Description

technical field [0001] The invention relates to the technical field of audio digital-to-analog converters, and in particular to a DAC-based abnormality detection method for input data, an abnormality protection method, a data detector with abnormal data detection function, and a low-precision DAC system. Background technique [0002] The classic audio digital-to-analog converter is mainly Sigma-delta DAC, which is widely used in audio systems. However, due to its complex circuit structure, it undoubtedly increases the power consumption and area of ​​digital circuit design. Low-precision digital-to-analog converters can meet For general audio product applications, such as sweeping robots, doorbells, alarms and other products, the data source of the digital-to-analog converter in practical applications is the result of system software processing. Due to possible misoperations at the system software level, or software decoding The original audio data error and other factors, so...

AI Technical Summary

Problems solved by technology

[0002] The classic audio digital-to-analog converter is mainly Sigma-delta DAC, which is widely used in audio systems. However, due to its complex circuit structure, it undoubtedly increases the power consumption and area of ​​digital circuit design. Low-precision digital-to-analog converters can meet For general audio product applications, such as sweeping robots, doorbells, alarms and other products, the data source of the digital-to-analog converter in practical applications is the result of system software processing. Due to possible misoperations at the system software level, or software decoding The original audio data error and other factors, so the data source sent by the system software to the digital-to-analog converter will have abnormal audio data like white noise. This kind of error data will also be passed through the digital-analog due to the lack of corresponding detection technology. The internal circuit processing of the converter, when the energy accumulated in a short period of time by the data sent to the digital-to-analog converter exceeds a certain range, it will cause the output current of the power amplifier of the analog circuit inside the digital-to-analog converter to increase instantaneously, which may cause power The amplifier overheated, causing the chip to burn out without warning

Images