Online fault detection method for digital microfluidic biochip on basis of reinforcement learning

Abstract

The invention discloses an online fault detection method for a digital microfluidic biochip on the basis of reinforcement learning. The method comprises the following steps of: establishing a mathematical model of the digital microfluidic biochip on the basis of a grid method, an undirected graph method in a graph theory and a chip constraint condition; obtaining set initial parameters based on areinforcement learning algorithm, a target number Max of algorithm iteration and information sharing time Tx, and establishing a Q table corresponding to each test liquid drop; selecting a next electrode of the test liquid drops based on the updating rule function, greedy function and tabu matrix of the reinforcement learning algorithm; and outputting target test time and the target paths of the test liquid drops based on a judgment condition. Through parallel online testing of multiple liquid drops, the utilization rate of the test liquid drops is increased, and the energy consumption problemof the test liquid drops is reduced; and therefore, the test liquid drops can optimize test paths in a short time, the fault detection of the chip is completed, and the reliability of the digital microfluidic chip is guaranteed.

Description

technical field [0001] The invention relates to the technical field of fault detection of digital microfluidic biochips, in particular to an online fault detection method of digital microfluidic biochips based on reinforcement learning. Background technique [0002] With the development of science and technology, microfluidic biochips have been applied in many fields of microelectronics, biochemistry and biomedicine, including drug discovery, high-throughput DNA sequencing, and environmental toxicity monitoring to replace traditional laboratory experiments. Microfluidics biochip can realize the sampling, separation, detection and other functions of traditional laboratories on an extremely small chip, so it is also called Lab-on-a-chip. The first generation of microfluidic biochips consisted of permanently etched micropumps, microvalves, and microchannels of glass or plastic or other polymers, whose actuation was based on the principle of continuous fluid flow. However, alth...

AI Technical Summary

Problems solved by technology

However, although the continuous flow microfluidic chip can complete many biochemical experiments, it cannot precisely and flexibly control the droplets, and it is difficult to meet the requirements of more demanding and complex experiments.

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