IP Library › Granted Patent US 12,366,852
Granted Patent B2
US 12,366,852 · App. 17/673,753 · Granted Jul 22, 2025

Analysis apparatus, analysis method and computer-readable medium

Inventors: Nobuaki Ema (Tokyo, JP); Takahiro Kambe (Tokyo, JP); Tatenobu Seki (Tokyo, JP); Masato Annen (Tokyo, JP)
Assignee: Yokogawa Electric Corporation
G05B23/0232G05B13/041G05B17/02
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Quick Facts
Patent No.
US 12,366,852
App. No.
17/673,753
Granted
Jul 22, 2025
Kind
B2
Abstract

Provided is an analysis apparatus comprising: a variation model storage unit configured to store a plurality of variation models indicating variation in characteristics of a plant corresponding to an operating condition of the plant; a model extraction unit configured to acquire structure information indicating a structure model of an analysis target plant and to extract the variation model corresponding to the structure model; and an analysis unit configured to analyze the analysis target plant, based on the structure model of the analysis target plant and the variation model extracted by the model extraction unit.

Claims (53)

1. An analysis apparatus comprising at least one processor, wherein:

the analysis apparatus comprises a variation model storage unit that stores a plurality of variation models indicating variation in characteristics of a plant corresponding to an operating condition of the plant;

the at least one processor acquires structure information indicating a structure model of an analysis target plant and extracts a variation model from the plurality of variation models corresponding to the structure model;

the at least one processor analyzes the analysis target plant, based on the structure model of the analysis target plant and the variation model extracted by the at least one processor; and

the at least one processor outputs a simulation model that simulates operation of the analysis target plant by combining the structure model and the variation model which are used to simulate influence of at least one of dirt or deposited material on at least one of piping or equipment of the analysis target plant.

2. The analysis apparatus according to claim 1 , wherein

the variation model storage unit stores the plurality of variation models generated from variations over time in characteristics of a device of the plant.

3. The analysis apparatus according to claim 1 , further comprising a structure model storage unit that stores a plurality of the structure models of the plant, wherein

the at least one processor analyzes the analysis target plant by using a structure model from the plurality of structure models selected from the structure model storage unit according to the structure information.

4. The analysis apparatus according to claim 2 , further comprising a structure model storage unit that stores a plurality of the structure models of the plant, wherein

the at least one processor analyzes the analysis target plant by using a structure model from the plurality of structure models selected from the structure model storage unit according to the structure information.

5. The analysis apparatus according to claim 1 , wherein:

the variation model storage unit stores the plurality of variation models in a block unit including one or more devices in the plant, and

the at least one processor extracts the variation model, which corresponds to a target block included in the structure model of the analysis target plant, from the variation model storage unit.

6. The analysis apparatus according to claim 2 , wherein:

the variation model storage unit stores the plurality of variation models in a block unit including one or more devices in the plant, and

the at least one processor extracts the variation model, which corresponds to a target block included in the structure model of the analysis target plant, from the variation model storage unit.

7. The analysis apparatus according to claim 5 , wherein:

the variation model storage unit stores the plurality of variation models and a structure of the block in association with each other, and

the at least one processor extracts the variation model corresponding to the target block, based on a degree of similarity between a structure of the target block and a structure of the block corresponding to the variation model.

8. The analysis apparatus according to claim 6 , wherein:

the variation model storage unit stores the plurality of variation models and a structure of the block in association with each other, and

the at least one processor extracts the variation model corresponding to the target block, based on a degree of similarity between a structure of the target block and a structure of the block corresponding to the variation model.

9. The analysis apparatus according to claim 5 , wherein:

the variation model storage unit stores the plurality of variation models generated from actual operation results of a plurality of existing plants, and

the at least one processor analyzes the analysis target plant by combining the plurality of variation models of different existing plants.

10. The analysis apparatus according to claim 6 , wherein:

the variation model storage unit stores the plurality of variation models generated from actual operation results of a plurality of existing plants, and

the at least one processor analyzes the analysis target plant by combining the plurality of variation models of different existing plants.

11. The analysis apparatus according to claim 5 , wherein

the at least one processor comprises a plurality of analysis modules that perform different analyses on the analysis target plant and analyze the analysis target plant by selecting an analysis module of the plurality of analysis modules corresponding to the variation model.

12. The analysis apparatus according to claim 6 , wherein

the at least one processor comprises a plurality of analysis modules that perform different analyses on the analysis target plant and analyze the analysis target plant by selecting an analysis module of the plurality of analysis modules corresponding to the variation model.

13. The analysis apparatus according to claim 7 , wherein

the at least one processor comprises a plurality of analysis modules that perform different analyses on the analysis target plant and analyze the analysis target plant by selecting an analysis module of the plurality of analysis modules corresponding to the variation model.

14. The analysis apparatus according to claim 8 , wherein

the at least one processor comprises a plurality of analysis modules that perform different analyses on the analysis target plant and analyze the analysis target plant by selecting an analysis module of the plurality of analysis modules corresponding to the variation model.

15. The analysis apparatus according to claim 9 , wherein

the at least one processor comprises a plurality of analysis modules that perform different analyses on the analysis target plant and analyze the analysis target plant by selecting an analysis module of the plurality of analysis modules corresponding to the variation model.

16. The analysis apparatus according to claim 10 , wherein

the at least one processor comprises a plurality of analysis modules that perform different analyses on the analysis target plant and analyze the analysis target plant by selecting an analysis module of the plurality of analysis modules corresponding to the variation model.

17. The analysis apparatus according to claim 1 , wherein the at least one processor collects a structure model and operation information of each device of an existing plant and generates the variation model.

18. The analysis apparatus according to claim 2 , wherein the at least one processor collects a structure model and operation information of each device of an existing plant and generates the variation model.

19. An analysis method implemented by at least one processor comprising:

storing a plurality of variation models indicating variation in characteristics of a plant corresponding to an operating condition of the plant using the at least one processor;

acquiring structure information indicating a structure model of an analysis target plant and extracting a variation model from the plurality of variation models corresponding to the structure model using the at least one processor; and

analyzing the analysis target plant, based on the structure model of the analysis target plant and the variation model using the at least one processor; and

outputting a simulation model that simulates operation of the analysis target plant, using the at least one processor, by combining the structure model and the variation model to simulate influence of at least one of dirt or deposited material on at least one of piping or equipment of the analysis target plant.

20. A non-transitory computer-readable medium having a program recorded thereon that, when executed by a computer, causes the computer to execute:

storing a plurality of variation models indicating variation in characteristics of a plant corresponding to an operating condition of the plant using the computer;

acquiring structure information indicating a structure model of an analysis target plant and extracting a variation model from the plurality of variation models corresponding to the structure model using the computer;

analyzing the analysis target plant, based on the structure model of the analysis target plant and the variation model using the computer; and

outputting a simulation model that simulates operation of the analysis target plant, using the computer, by combining the structure model and the variation model which are used to simulate influence of at least one of dirt or deposited material on at least one of piping or equipment of the analysis target plant.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 16, 2022
From: EMA, NOBUAKI; KAMBE, TAKAHIRO; SEKI, TATENOBU; ANNEN, MASATO
To: YOKOGAWA ELECTRIC CORPORATION
Reel/Frame 059028/0776 →
Priority Claims (1)
JP 2021-038048 · Mar 10, 2021 · national
Continuity (1)
Related Publication 20220291673A1 · Sep 15, 2022
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