Embryo Array Fault Diagnosis System and Method Based on Biological Immune Mechanism

Abstract

The invention discloses an embryonic array fault diagnosis system based on biologic immune mechanism. The fault diagnosis system comprises a fault diagnosis device, and an immune judging module added at a monitoring object; the fault diagnosis device is used for judging fault state of the monitoring object and enabling the monitoring object to transmit back a feedback signal, and judging own fault state according to the feedback signal transmitted back by the monitoring object; the fault diagnosis device comprises a control switching module, a comparator, an immune self-test module, a configuration information registering module, a programmable logical module and a plurality of input signal gates; and the immune judging module is used for judging own fault state according to the signal sent by the fault diagnosis device and transmitting back the feedback signal to the fault diagnosis device. According to the invention, by means of distributed fault detection, influence of single point failure on fault detection is reduced, and fixed redundant resource consumption in embryonic cells is reduced through dynamic configuration. By confirming fault based on combination of multiple modules, multiple signals and multiple cycles, the reliability of diagnosis is improved.

Description

technical field [0001] The invention relates to an additional structure for fault diagnosis of electronic embryo array cells and a diagnosis method based on the structure, in particular to an embryo array fault diagnosis system and diagnosis method based on a biological immune mechanism. Background technique [0002] With the rapid development of semiconductor manufacturing technology, the integration and performance of chips have been continuously improved, but on the other hand, the failure rate of electronic systems has also increased. Electronic systems mostly undertake core tasks in scientific exploration and national defense, which puts forward extremely high requirements on the reliability of electronic systems. [0003] In recent years, the rapid development of electronic information technology and biology has made the connection between the two disciplines closer. The more and more in-depth research on the mechanism of growth, reproduction and evolution of organism...

AI Technical Summary

Problems solved by technology

This self-diagnosis method has a simple structure, but the reliability of the diagnosis is not ideal, especially when the redundant modules have instantaneous errors at the same time, it is difficult to ensure the correctness of the diagnosis results

If you want to increase the accuracy of diagnosis, you need to increase redundancy, which will bring more consumption of hardware resources.

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