2results about How to "Simplify development difficulty" patented technology

The invention discloses a large model training and reasoning-oriented containerized operation method and computing equipment, and the method comprises the steps: receiving a training starting request or reasoning starting request for a large model, and determining a training parameter corresponding to the training starting request or a reasoning parameter corresponding to the reasoning starting request; for the training starting request, creating a trainer instance and introducing training parameters, starting a training container through the trainer instance based on the training parameters, and running a training program through the training container so as to execute a large model training task based on the training program; and for the inference starting request, creating an inference device instance and transmitting inference parameters, starting an inference container based on the inference parameters through the inference device instance, and running an inference program through the inference container so as to execute a large model inference task based on the inference program. On the basis, training and reasoning tasks of the large model can be efficiently and conveniently executed in a containerized environment, and an embeddable containerized operation capability can be provided for a model development platform, so that other platforms can conveniently and rapidly integrate the development capability of the large model.

This invention proposes a method and system for controlling the absorption capacity of a radiant air conditioning microgrid. The method determines the allowable thermal and humidity dynamic elastic range for the radiant terminal surface based on collected data, combined with a human thermal comfort model and a dew point temperature dynamic evolution model. This dynamic elastic range is then transformed into equivalent virtual energy storage capacity, maximum absorbable charging / discharging power, and maximum sustainable discharge duration, based on building thermal capacity characteristics and the variable operating condition performance curves of the heat pump unit. According to the received power scheduling command, within the constraints of the thermal and humidity dynamic elastic range, the optimal control sequence for each device parameter in the radiant air conditioning system is solved using a rolling optimization algorithm. Based on this optimal control sequence, the system controls each device in the radiant air conditioning system, achieving a shift from passive response to active guidance. This improves the safety and reliability of source-load interaction and enhances the reliability of the radiant air conditioning microgrid absorption capacity control.