A method for predicting the maturity of a concrete during a curing process, wherein the method comprises the following steps: - predicting at least one future temperature ( θ n+1 ) within the concrete by using information about a relationship between temperature and energy production (Δ Q n ) in the concrete , wherein said prediction is carried out after: - performing real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ) of the concrete , characterised in that the method comprises the following steps: - transmitting the temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ) wirelessly from at least one temperature sensor to an external device such as a server via the internet (42, wherein said at least one temperature sensor is used for performing the temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ); - determining the energy production (Δ Q n ) within the concrete , wherein the step of determining the energy production (Δ Q n ) within the concrete is carried out by applying information about the real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ) of the concrete ; wherein in the step of predicting at least one future temperature ( θ n+1 ) within the concrete the temperatures used for the prediction are based on measured temperatures (B 1 , B 2 , B 3 , B 4 , B 5 ) being the real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ), wherein the at least one future temperature ( θ n +1 ) within the concrete is used to determine the future maturity of a concrete . - predicting at least one future temperature ( θ n+1 ) within the concrete by using information about a relationship between temperature and energy production (Δ Q n ) in the concrete , wherein said prediction is carried out after: - performing real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ) of the concrete , - transmitting the temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ) wirelessly from at least one temperature sensor to an external device such as a server via the internet (42, wherein said at least one temperature sensor is used for performing the temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ); - determining the energy production (Δ Q n ) within the concrete , wherein the step of determining the energy production (Δ Q n ) within the concrete is carried out by applying information about the real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ) of the concrete ; wherein in the step of predicting at least one future temperature ( θ n+1 ) within the concrete the temperatures used for the prediction are based on measured temperatures (B 1 , B 2 , B 3 , B 4 , B 5 ) being the real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ), wherein the at least one future temperature ( θ n +1 ) within the concrete is used to determine the future maturity of a concrete . wherein in the step of predicting at least one future temperature ( θ n+1 ) within the concrete the temperatures used for the prediction are based on measured temperatures (B 1 , B 2 , B 3 , B 4 , B 5 ) being the real-time temperature measurements (B 1 , B 2 , B 3 , B 4 , B 5 ), wherein the at least one future temperature ( θ n +1 ) within the concrete is used to determine the future maturity of a concrete . <EOS>