The invention relates to the technical field of building
engineering, and discloses a building equipment
energy consumption data driven self-adaptive energy-saving regulation and
control system and method, and the method comprises global state sensing,
energy consumption feature extraction, dynamic modeling prediction, multi-objective optimization solution and hierarchical
execution control.
Time sequence and space data are fused through Kalman filtering, unified modeling of cross-protocol equipment data is achieved, equipment operation, environment, weather and control instructions are integrated according to a space-time state input matrix, a multi-dimensional decision basis is formed, a
Pareto optimal solution set is solved based on an NSGA-II
algorithm, a compromise solution is selected through a
fuzzy decision method, and the optimal solution set is obtained. According to the method, conflict targets of
energy consumption, comfort and equipment life are balanced, a priority arbitration problem is solved by adopting dynamic weight allocation, meanwhile, a security fault-tolerant mechanism is established, a
mobile security boundary model and a self-adaptive retry mechanism are introduced, an operation threshold is dynamically adjusted, and the robustness of the
system is remarkably improved.