A highway tunnel structure-based operation energy consumption prediction method

Abstract

The application discloses a kind of based on highway tunnel structure's operation energy consumption prediction method, belong to tunnel engineering technical field, including obtaining the historical energy consumption data of target tunnel as target vector, and constructs initial characteristic factor set, the initial characteristic factor set includes tunnel structure characteristic factor, tunnel traffic characteristic factor, the characteristic factor that does not contain tunnel electromechanical energy consumption characteristics and tunnel external natural factor characteristic factor;Using regression algorithm, the characteristic factor in initial characteristic factor set is filtered, and the optimized characteristic factor set is obtained;Based on target vector and optimized characteristic factor set, a tunnel operation energy consumption prediction model is constructed using machine learning methods;The contribution of each characteristic factor in the model is explained using SHAP interpreter, and an energy consumption optimization strategy is generated based on the interpretation results. Avoids the dependence on specialized energy efficiency monitoring data in traditional methods, reduces the difficulty of data acquisition, improves the prediction accuracy, and provides energy consumption optimization decision support for tunnel design, operation and maintenance.

Images