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Patent Searching and Data


Title:
MICROWAVE PROCESSING DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/163554
Kind Code:
A1
Abstract:
A microwave processing device according to the present disclosure is provided with a heating chamber, a microwave generating unit, an amplifying unit, a power supply unit, a detecting unit, a control unit, and a storage unit. The microwave generating unit generates microwaves having an arbitrarily defined frequency in a prescribed frequency band. The amplifying unit amplifies an output level of the microwaves. The power supply unit radiates the microwaves amplified by the amplifying unit into the heating chamber as incident electric power. The detecting unit detects reflected electric power returning from the heating chamber to the power supply unit, from among the incident electric power. The control unit controls the microwave generating unit and the amplifying unit. The storage unit stores the microwave frequency and an elapsed time from the start of heating, together with a value of the reflected electric power. The control unit controls the microwave generating unit and the amplifying unit on the basis of a calculated value obtained by calculation with reference to the reflected electric power.

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Inventors:
HOSOKAWA DAISUKE
OOMORI YOSHIHARU
NAKAMURA HIDEKI
MAEDA KAZUKI
UNO TAKASHI
Application Number:
PCT/JP2022/002317
Publication Date:
August 04, 2022
Filing Date:
January 24, 2022
Export Citation:
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Assignee:
PANASONIC IP MAN CO LTD (JP)
International Classes:
H05B6/68
Domestic Patent References:
WO2020166409A12020-08-20
WO2011004561A12011-01-13
Foreign References:
JPH0778681A1995-03-20
JP2020514944A2020-05-21
JP2010272216A2010-12-02
Other References:
KENJI YAMANISHI, ABNORMALITY DETECTION BY DATA MINING, KYORITSU SHUPPAN, 2009
J. TAKEUCHIK. YAMANISHI: "Transaction on Knowledge and Data Engineering", vol. 18, 2006, IEEE, article "A Unifying framework for detecting outliers and change points from time series", pages: 482 - 492
K. YAMANISHIJ. TAKEUCHI: "In Proceeding of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD01", 2001, ACM PRESS, article "Discovering outlier filtering rules from unlabeled data", pages: 389 - 394
Attorney, Agent or Firm:
KAMATA Kenji et al. (JP)
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