The invention discloses a
building energy-carbon double-control and equipment
predictive maintenance linkage
energy consumption optimization method, and aims to solve the problems that equipment efficiency degradation'no fault but
high energy consumption 'is difficult to recognize in time and is difficult to link with energy-carbon control. A control state feature sequence is generated, an equipment
health risk sequence is output, a health constraint multi-target optimization model of
energy consumption, carbon emission and health risks is established, a control target parameter set containing reward and punishment parameters and constraint parameters is generated, and a safety
reinforcement learning controller is adopted to generate, verify and correct control actions, issue and execute the control actions. Constructing an action condition expected
energy consumption model to obtain expected energy consumption, forming a total residual error with actual energy consumption, combining execution feedback to obtain an execution residual error, decomposing the execution residual error to generate an efficiency residual error, screening a health window according to the
health risk and the execution residual error, and self-updating a
baseline model only by using health window data; and determining a degradation threshold based on the health window, calculating an efficiency
degradation index, additional energy consumption and additional carbon emission, triggering a maintenance instruction, updating a control target parameter set, and achieving the technical effects of energy consumption and carbon emission optimization, efficiency degradation identification and maintenance linkage.