Title:
MONITORING SYSTEM, LEARNING DEVICE, MONITORING METHOD, LEARNING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/024444
Kind Code:
A1
Abstract:
This monitoring system comprises: a determination unit that determines the internal state of a solid-liquid separation tank to be diagnosed from a supernatant water image representing the supernatant water inside the solid-liquid separation tank, using a first learning model that has learned the relationship between supernatant water images, which are images representing the supernatant water inside a solid-liquid separation tank for separating waste water into solid and liquid, and the internal state of the solid-liquid separation tank, on the basis of the supernatant water images and diagnostic results based on the supernatant water images; and an output unit that outputs information identifying the internal state of the solid-liquid separation tank to be diagnosed as determined by the determination unit using the supernatant water image of the solid-liquid separation tank and the first learning model.
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Inventors:
HARADA KANAME (JP)
KURIHARA SHINICHI (JP)
KURIHARA SHINICHI (JP)
Application Number:
PCT/JP2023/025136
Publication Date:
February 01, 2024
Filing Date:
July 06, 2023
Export Citation:
Assignee:
KURITA WATER IND LTD (JP)
International Classes:
G06T7/00; C02F1/00
Foreign References:
| JP2020065964A | 2020-04-30 | |||
| JP2021041338A | 2021-03-18 |
Other References:
SUZUKI, AKIHIRO ET AL.: "A Study of a Method for Predicting Turbidity after Flocculation with Deep Learning Using a Small Flocculation Plant", PROCEEDINGS, JSME CONFERENCE ON ROBOTICS AND MECHATRONICS 2022, 4 June 2022 (2022-06-04), pages 1 - 2
Attorney, Agent or Firm:
NISHIZAWA Kazuyoshi et al. (JP)
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