HEAT SOURCE MACHINE SYSTEM, GENERATION METHOD OF LEARNED MODEL, AND LEARNED MODEL

To provide a heat source machine system, a generation method of a learned model, and the learned model for properly performing an operation suited to a condition of a prescribed index while reducing calculation load.SOLUTION: A heat source machine system 1 has: heat source devices 11-13 for cooling or heating a heat medium CH to be supplied to heat demand equipment 99; heat source auxiliary devices 21-23, 31-33, 41-43; and a control device 70 for adjusting operating states of the heat source devices and the heat source auxiliary devices. The control device 70 has a learned estimation model 80. On the estimation model 80, machine learning processing using teacher data is performed to output a consumption amount of consumption resource when an operating condition and an operating state are input. The control device 70 calculates a value of a prescribed index on the basis of the output of the consumption amount of the plurality of consumption resources obtained from the estimation model 80, specifies the operating state corresponding to the consumption amount of the consumption resource at a time when the value of the prescribed index is suited to the condition, and controls the heat source devices and the heat source auxiliary devices to achieve the specified operating state.SELECTED DRAWING: Figure 1 【課題】演算負荷を軽減しつつ所定の指標の条件に適う運転を適切に行う熱源機システム、学習済みモデルの生成方法及び学習済みモデルを提供する。【解決手段】熱源機システム１は、熱需要設備９９に供給する熱媒体ＣＨを冷却又は加熱する熱源機器１１～１３と、熱源補機２１～２３、３１～３３、４１～４３と、熱源機器及び熱源補機の運転状態を調節する制御装置７０とを備える。制御装置７０は学習済みの推定モデル８０を有する。推定モデル８０は、運転条件及び運転状態が入力されると、消費資源の消費量を出力するように、教師データを用いた機械学習処理が施されている。制御装置７０は、推定モデル８０から得た複数の消費資源の消費量の出力に基づいて所定の指標の値を演算し、所定の指標の値が条件に適うときの消費資源の消費量に対応する運転状態を特定し、当該特定した運転状態となるように、熱源機器及び熱源補機を制御する。【選択図】図１