2results about How to "Solve the waste problem" patented technology

The utility model discloses a kind of underground station pile wall composite structures, including underground station structure and the foundation pit enclosure stake of being set in the outer side of underground station structure, the sidewall bottom joist of being equipped with in the lower side of underground station structure two sides, transverse reserved reinforcement is equipped in the foundation pit enclosure stake, first connection reinforcement is correspondingly equipped in the sidewall bottom joist, and the foundation pit enclosure stake is close to the side of underground station structure and is equipped with the reinforcement connection component for the transverse reserved reinforcement and the first connection reinforcement connection. The utility model analysis foundation pit enclosure stake base is used as the composite structure of underground station pile foundation, realizes enclosure foundation pit engineering and underground station structure intensive sharing, solves later period enclosure stake waste problem, effectively improves resource utilization efficiency, simultaneously reduces underground station structure outer wall thickness and reinforcement, saves engineering investment.

This invention discloses an indoor temperature and humidity control method, device, equipment, and medium, relating to the field of building environment control technology. The method includes: acquiring indoor and outdoor environmental data, equipment operating status data of multiple environmental control actuators, and real-time power grid data; extracting operating condition features based on the indoor and outdoor environmental data to identify target disturbance patterns; employing a two-layer prediction model, combining equipment operating status data to jointly predict indoor temperature and humidity parameters including absolute moisture content, and combining historical error data to perform online rolling correction of model parameters, obtaining prediction results including surface condensation risk parameters; constructing a multi-objective optimization function including comfort, energy consumption, condensation and mildew prevention determined based on condensation risk parameters, and peak power constraints based on real-time power grid data, and matching priority switching rules; using these rules and the optimization function to iteratively solve the prediction results to generate a hierarchical control strategy, enabling collaborative decoupling control of multiple environmental control actuators.