Ammeter error solving method based on reinforcement learning

The invention discloses an electric meter error solving method based on reinforcement learning, which comprises the following steps of: 1, constructing matrix data of an energy conservation equation, and preprocessing electric quantity data of an electric energy meter; 2, carrying out the initialization solution of the error rate value of the electric energy meter based on the law of conservation of energy; 3, adopting a reinforcement learning model, and based on a reinforcement learning qlearning algorithm, carrying out solution iteration on states, actions and optimization targets in the data; and 4, setting an iteration stop condition, and comparing and outputting a final result of the model. The method comprises the steps of firstly obtaining electric energy meter electric quantity data, and then performing electric quantity matrix and error rate numerical value construction on the data based on the law of conservation of energy; an ammeter error is calculated by using a reinforcement learning qlearning e