Method for monitoring equipment state by distribution measurement data, and equipment monitoring apparatus

• US 5,822,450 A
• Filed: 08/28/1995
• Issued: 10/13/1998
• Est. Priority Date: 08/31/1994
• Status: Expired due to Term

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Arakawa, Akio, Tai, Ichiro, Tsurumaki, Hideyuki, Hattori, Yoshiaki, Haneda, Riyoko, Kanemoto, Shigeru
• Primary Examiner(s): Mancuso, Joseph
• Application Number:
  US08/519,894
• Time in Patent Office: 1,142 Days
• Field of Search: 382/149, 382/154, 382/141, 382/144, 382/152, 382/285, 382/294, 364/551.02
• US Class Current: 382/152
• CPC Class Codes: G06T 2207/30164 Workpiece; Machine component
• CPC Class Codes: G06T 7/0006 using a design-rule based approach
• CPC Class Codes: G06T 7/181 involving edge growing; involving edge linking

Abstract

A method for monitoring equipment state by distribution measurement data comprises: the steps of momentarily taking in two-dimensional distribution measurement data relating to the state of equipments including an equipment to be monitored; allowing the two-dimensional distribution measurement data and a display result by a three-dimensional shape model of the equipment to be monitored to undergo positioning and carrying out overlaid display in such a manner that they are caused to correspond to each other; designating an equipment portion to be inspected from the display content; allowing measurement data of the equipment to be monitored to undergo mapping onto the three-dimensional shape model corresponding to the designated equipment portion; and detecting changes in the measurement data to judge presence or absence of unusual condition of the equipment. Moreover, an equipment state monitoring apparatus comprises: a distribution measurement unit for measuring distribution of temperature, vibration or sound, etc. at the plant equipment surface; a distribution measurement image data positioning unit for determining position and direction of the distribution measurement unit in order to allow distribution measurement image data from the distribution measurement unit to undergo positioning so that it is in correspondence with a projection chart of a corresponding plant equipment spatial shape model; a texture-mapping unit for allowing the distribution measurement image data to undergo texture-mapping onto the surface of the spatial shape model of the plant equipment on the basis of the position and the direction of the measurement unit determined by the distribution measurement image data positioning unit; a projecting unit for describing a projection chart of the texture-mapped plant equipment spatial shape model; and an image display unit for displaying the projection chart from the projecting unit.

Claims

1. A method for monitoring equipment behavioral characteristics by distribution measurement data,

the method comprising the steps of:

taking in two-dimensional distribution measurement data relating to the behavioral characteristics of equipments including an equipment to be monitored;

allowing the two-dimensional distribution measurement data and a display result by a three-dimensional shape model of the equipment to be monitored to undergo positioning, and overlay-displaying them in a manner such that they are caused to correspond to each other;

designating an equipment portion to be inspected from the display content;

allowing the measurement data of the equipment to be monitored to undergo mapping onto the three-dimensional shape model corresponding to the designated equipment portion; and

detecting changes in the measurement data thus to judge whether or not the equipment to be monitored is in an unusual condition.

2. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein, in overlaying of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored, such overlaying operation is carried out by allowing a distribution image in which viewpoint coordinates, a viewpoint direction and an angle of visual field in the distribution measurement are designated and the three-dimensional shape model of the equipment to be monitored to be in alignment with each other.

3. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 2,

wherein, in overlaying of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored, a two-dimensional visible image in which the relationship with a viewpoint position, a viewpoint direction and an angle of visual field in the distribution measurement is known is used as an auxiliary picture for alignment to allow the auxiliary picture and the three-dimensional shape model of the equipment to be monitored to undergo positioning so that they are in correspondence with each other.

4. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein, in overlaying of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored, points caused to be aligned of an image of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored are designated on the image to calculate view point coordinates, a viewpoint direction and an angle of visual field to thereby allow the distribution image and the three-dimensional shape model of the equipment to be monitored to undergo positioning so that they are in correspondence with each other.

5. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 4,

wherein, in overlaying of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored, a two-dimensional visible image in which the relationship with a viewpoint position, a viewpoint direction and an angle of visual field in the distribution measurement is known is used as an auxiliary picture for alignment to allow the picture and the three-dimensional shape model of the equipment to be monitored to undergo positioning so that they are in correspondence with each other.

6. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein, in overlaying of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored, feature contents of the distribution measurement data are detected to determine, on the basis of the detected feature points, points caused to be aligned of an image of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored to calculate viewpoint coordinates, a viewpoint direction and an angle of visual field to thereby allow the distribution image and the three-dimensional shape model of the equipment to be monitored to undergo positioning so that they are in correspondence with each other.

7. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 6,

wherein, in overlaying of the distribution measurement data and the three-dimensional shape model of the equipment to be monitored, a two-dimensional visible image in which the relationship with a viewpoint position, a viewpoint direction and an angle of visual field in the distribution measurement is known is used as an auxiliary picture for alignment to allow the picture and the three-dimensional shape model of the equipment to be monitored to undergo positioning so that they are in correspondence with each other.

8. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein an equipment to be inspected is designated by a piping instrumentation diagram displayed within a picture on screen to transfer a name of equipment corresponding thereto to the three-dimensional shape model to thereby designate the equipment to be inspected.

9. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein an equipment to be inspected is designated by a three-dimensional CAD chart displayed within a picture on screen.

10. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein an equipment to be inspected is designated from a pictorial image corresponding to the three-dimensional shape model displayed within a picture on screen.

11. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein an equipment to be inspected is designated by distribution measurement data corresponding to the three-dimensional shape model displayed within a picture on screen.

12. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1, wherein the two-dimensional distribution measurement data of equipments includes at least one of vibrations, surface temperatures and acoustic sounds of the equipments.

13. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 12, wherein the two-dimensional distribution measurement data of equipments corresponds to data related to non-visual characteristics of the equipments.

14. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein an equipment to be inspected is designated by a two-dimensional pictorial image corresponding to the three-dimensional shape model displayed within a picture on screen.

15. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein a three-dimensional shape is generated from a plurality of two-dimensional pictorial images as a three-dimensional shape model of an equipment onto which measurement data is subjected to mapping.

16. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein a three-dimensional shape model of an equipment is generated from a plurality of two-dimensional pictorial images by the trigonometrical survey.

17. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein when the distribution measurement data is caused to undergo mapping onto the three-dimensional shape model of the equipment to be monitored, correction by reflection factor of an object surface or relative inclination of the surface is made thereafter to carry out mapping of data.

18. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein the distribution measurement data is caused to undergo mapping onto the three-dimensional shape model of the equipment to be measured thereafter to convert it into front view and side view to display them.

19. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein the distribution measurement data is caused to undergo mapping onto the three-dimensional shape model of the equipment to be monitored thereafter to chart-display parameters of measurement data along the axial direction of the equipment to be monitored.

20. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein when the distribution measurement data is caused to undergo mapping onto the three-dimensional shape model of the equipment to be monitored, measurement data of a plurality of pictures are subjected to mapping-synthesis into the three-dimensional shape model of the equipment to be monitored.

21. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein distribution measurement data is compared with distribution measurement data measured last to judge the unusual condition based upon a difference therebetween.

22. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein distribution measurement data is compared with an unusual condition judgment level set in advance to judge the unusual condition.

23. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein the unusual condition is judged by change rate of the distribution measurement data.

24. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein correlation with past data of distribution measurement data is calculated to judge the unusual condition.

25. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 1,

wherein different two kind of measurement data or more are coupled to carry out judgment of the unusual condition by the coupled value.

26. A method for monitoring equipment behavioral characteristics by distribution measurement data, the method comprising the steps of:

inputting two-dimensional distribution measurement data relating to at least one of vibrations, surface temperatures and acoustic sounds of equipments including an equipment to be monitored;

computing in advance three-dimensional shape data of the equipment to be monitored based on at least one of measurement point coordinates, measurement direction and angle of visual field;

superimposing the three-dimensional shape data of the equipment to be monitored onto the two-dimensional distribution measurement data of the equipment to be monitored so that the three-dimensional shape data and the two-dimensional distribution measurement data of the equipment to be monitored are in correspondence with each other;

performing extraction mapping of the two-dimensional distribution measurement data of the equipment to be monitored that corresponds to a portion of the equipment to be monitored;

mapping the extracted two-dimensional distribution measurement data of the equipment to be monitored onto the three-dimensional CAD data of the equipment to be monitored; and

judging whether or not the equipment to be monitored is currently in an unusual condition based on changes in the two-dimensional measurement data.

27. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 26, wherein the three-dimensional shape data of the equipment to be monitored is computed by a computer-aided design step.

28. A method for monitoring equipment behavioral characteristics by distribution measurement data as set forth in claim 27, wherein the two-dimensional distribution measurement data of equipments corresponds to data related to non-visual characteristics of the equipments.