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    • 9. 发明专利
    • DISCRIMINATION SYSTEM FOR FISH BODY AND TYPE
    • JPH08131060A
    • 1996-05-28
    • JP27523894
    • 1994-11-09
    • MITSUBISHI HEAVY IND LTD
    • HOSAKA SHIGETAKAYOSHIMOTO NOBUYAMOCHIZUKI KEIICHIOE KIYOTO
    • A22C25/04G06T1/00
    • PURPOSE: To provide a system capable of assuredly discriminating and sorting both the size and type of fishes ranging from ultra-small-to large-sized ones without the need through any hand. CONSTITUTION: In this discrimination system to be applied to the sorting work for a group of caught fishes composed of plural kinds of fish, fishes carried successively are subjected to a small-sized fish sorter 200, ultra-small-sized/small- sized fish sorter 300, and medium-sized/large-sized fish sorter 400 to sort them into ultra-small-sized, small-sized, medium-sized and large-sized fish bodies. The respective groups of fishes (fish bodies) thus sorted by these sorters are then subjected to a small-sized fish type discriminator 500, medium-sized fish type discriminator 600 and large-sized fish type discriminator 700 to discriminate the types of these fishes (fish bodies). These discriminators 500, 600, 700 photograph the respective fishes sorted above by relevant means, and the characteristics of the resultant photographed images are collated by a relevant means with the fish type characteristics having been stored in a characteristics memory means by fish type to discriminate fish type. As a result, fishes in the form of a mixture of plural kinds of fishes ranging from ultra-small-sized to large-sized ones can be sorted without the need through any hand.
    • 10. 发明专利
    • ABNORMALITY MONITORING DEVICE FOR PLANT
    • JPH0778239A
    • 1995-03-20
    • JP22322093
    • 1993-09-08
    • MITSUBISHI HEAVY IND LTD
    • HOSAKA SHIGETAKAHORI SHINICHIRONAKAYAMA HIROYUKI
    • G08B25/00G06T1/00G21C17/00
    • PURPOSE:To easily monitor abnormality in a process from the start-up to the stationary operation of an object to be monitored even by an unskilled worker. CONSTITUTION:A normal standard image data learning means 520 learns image data read in an image data storage means 510 when the object to be monitored is started up normally and starts the stationary operation in a learning mode. Also, an abnormality standard pattern is generated in advance based on the image data or experience and knowledge when abnormality occurs in the past, and it is registered on an abnormality standard pattern learning means 540. After that, a normalcy/abnormality discrimination means 530 discriminates whether or not measured image data to be discriminated is normal by comparing with normal standard image data in a monitoring mode, and displays the fact that it is normal when it is discriminated as the normal one on a display means 800. Also, when it is discriminated that a discriminated result shows abnormality, an abnormality identifying means 550 identifies the kind of abnormality by collating with the pattern of abnormal data, and displays an identified result on the display means 800.