FEATURE AMOUNT EXTRACTION METHOD, PERFORMANCE PREDICTION MODEL GENERATION METHOD, PLANT OPERATION SUPPORT METHOD, FEATURE AMOUNT EXTRACTION DEVICE, PERFORMANCE PREDICTION MODEL CREATION DEVICE, AND PLANT OPERATION SUPPORT DEVICE

• Main Authors: KINA DAISUKE, YAMAMOTO KENJI, YOKOI TOMOKI, MATSUMOTO KEIGO, TAKAHASHI TOMOHIRO, KUSAKA HIROTO
• Format: Patent
• Language: English; Japanese
• Published: 15.09.2022
• Subjects: BLASTING; CALCULATING; COMBUSTION APPARATUS; COMBUSTION PROCESSES; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; HEATING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; LIGHTING; MECHANICAL ENGINEERING; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING; REGULATING OR CONTROLLING COMBUSTION; WEAPONS

To shorten a time required for optimizing operation parameters by improving prediction accuracy, and facilitate automation of extracting one or more feature amounts.SOLUTION: A feature amount extraction method for extracting one or more feature amounts for creating a performance prediction model showing a relation between operation parameters of a fuel-burning plant and process values of the plant, comprises the steps of: obtaining image data of a combustion area of the plant; converting the image data into color image data segmented into a plurality of color regions according to color information by clustering processing; and extracting the one or more feature amounts from the color image data.SELECTED DRAWING: Figure 2 【課題】予測精度を向上させることで運転パラメータの最適化にかかる時間を短縮し、且つ特徴量の抽出の自動化を容易化することができる。【解決手段】燃料を燃焼するプラントの運転パラメータと、プラントのプロセス値との関係を示す性能予測モデルを作成するための特徴量を抽出する特徴量抽出方法は、プラントの燃焼領域の画像データを取得するステップと、画像データをクラスタリング処理により色情報に応じて複数の色領域に区分された色画像データに変換するステップと、色画像データから特徴量を抽出するステップと、を備える。【選択図】図２