Pump Operation Model Prediction Method of Sewage Treatment Equipment Based on Big Data and AI and Storage Medium Having the Same

The present invention relates to an optimal pump operation model prediction method for a sewage treatment facility based on big data and artificial intelligence. The method is executed through a management server in which an optimal pump operation model prediction program for a sewage treatment faci...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	HONG SEOK JO, JEONG UK PARK, YUN YONG KIM, YONG HEE KIM, CHAE NAM JUN, SUNG CHUL KIM, JI YEON KIM
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	BLASTING CALCULATING CESSPOOLS COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES FIXED CONSTRUCTIONS HEATING LIGHTING MECHANICAL ENGINEERING PHYSICS POSITIVE DISPLACEMENT MACHINES FOR LIQUIDS PUMPS PUMPS FOR LIQUIDS OR ELASTIC FLUIDS SEWERAGE SEWERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR WATER SUPPLY WEAPONS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The present invention relates to an optimal pump operation model prediction method for a sewage treatment facility based on big data and artificial intelligence. The method is executed through a management server in which an optimal pump operation model prediction program for a sewage treatment facility based on big data and artificial intelligence and stored in a storage medium is installed. The method includes: (a) a step of collecting pump operation-related data related to pump operation at a sewage treatment facility; (b) a step of executing preprocessing to generate pump operation combinations from the pump operation-related data collected in the (a) step; (c) a step of predicting an optimal sluice opening rate through the pump operation-related data preprocessed in the (b) step; (d) a step of deriving an optimal pump operation combination out of the pump operation combinations generated in the (b) step based on the optimal sluice opening rate predicted in the (c) step; and (e) a step of predicting an optimal pump operation model through the optimal pump operation combination derived in the (d) step. 본 발명에 따른 빅데이터 및 인공지능 기반 하수처리시설의 최적 펌프 운전모델 예측방법은, 저장매체에 저장된 빅데이터 및 인공지능 기반 하수처리시설의 최적 펌프 운전모델 예측 프로그램이 설치된 관리서버를 통해 수행되는 빅데이터 및 인공지능 기반 하수처리시설의 최적 펌프 운전모델 예측방법에 있어서, 하수처리시설의 펌프 운전에 관련된 펌프운전관계데이터를 수집하는 (a)단계, 상기 (a)단계에 의해 수집된 펌프운전관계데이터로부터 복수 개의 펌프운전 조합을 생성하는 전처리를 수행하는 (b)단계, 상기 (b)단계에 의해 전처리된 펌프운전관계데이터를 통해 최적 수문 개도율을 예측하는 (c)단계, 상기 (c)단계에 의해 예측된 최적 수문 개도율을 기반으로 하여, 상기 (b)단계에서 생성된 복수 개의 펌프운전 조합 중 최적 펌프운전 조합을 도출하는 (d)단계 및 상기 (d)단계에 의해 도출된 최적 펌프운전 조합을 통해 최적 펌프 운전모델을 예측하는 (e)단계를 포함한다.