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Kafe 바로가기주관연구기관 | 중앙대학교 산학협력단 |
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연구책임자 | 김창완 |
참여연구자 | 손봉수 , 김창민 , 나종철 , 손효주 , 이성욱 , 이승택 , 이주혁 , 임우람 , 조민우 , 그외 다수 |
보고서유형 | 최종보고서 |
발행국가 | 대한민국 |
언어 | 한국어 |
발행년월 | 2015-06 |
과제시작연도 | 2014 |
주관부처 | 국토교통부 |
사업 관리 기관 | 국토교통과학기술진흥원 |
등록번호 | TRKO201500019441 |
과제고유번호 | 1615006964 |
DB 구축일자 | 2015-11-10 |
키워드 | 플랜트,3차원 As-Built 모델,시공,운영·유지,플랜트 정보 모델,레이저 스캐너Plant,3D As-Built Model,Construction,Operation and Maintenance,Plant Information Model,Laser Scanner |
○ 본 연구과제의 최종목표는 공사 중이거나, 운영 중인 플랜트 시설에 대한 3차원 As-Built 플랜트 정보 모델을 구축하는 기술을 개발하는 것임.
○ 기존 3차원 As-Built 플랜트 정보 모델 구축 프로세스는 90% 정도를 수작업에 의존하여 많은 인력과 시간이 소요됨. 본 연구과제에서는 기존 프로세스의 비효율성과 복잡성, 수작업 오류로 인한 정보 모델의 부정확성 등의 문제를 개선하는 것을 목표로 하여 수작업에 의한 정보 모델 구축 프로세스를 20% 이하로 획기적으로 단축시키는 프로세스를 제안·개발함.
○ 본 연구과
○ 본 연구과제의 최종목표는 공사 중이거나, 운영 중인 플랜트 시설에 대한 3차원 As-Built 플랜트 정보 모델을 구축하는 기술을 개발하는 것임.
○ 기존 3차원 As-Built 플랜트 정보 모델 구축 프로세스는 90% 정도를 수작업에 의존하여 많은 인력과 시간이 소요됨. 본 연구과제에서는 기존 프로세스의 비효율성과 복잡성, 수작업 오류로 인한 정보 모델의 부정확성 등의 문제를 개선하는 것을 목표로 하여 수작업에 의한 정보 모델 구축 프로세스를 20% 이하로 획기적으로 단축시키는 프로세스를 제안·개발함.
○ 본 연구과제의 최종목표를 달성하기 위해 수행한 주요 연구내용은 다음과 같음.
- 플랜트 시설로부터 첨단 센서를 이용하여 획득한 3차원 As-Built 점군 데이터의 정합 및 개선 기술 개발
- 컴퓨터 비전 기술을 활용한 As-Built 플랜트 배관 정보 모델 구축 기술 개발
- 플랜트 데이터베이스를 기반으로 As-Built 플랜트 밸브, 제어기기, 기기 정보 모델 구축 기술 개발
Ⅲ. Project Details and Results
1. Objective 1: Develop a Process for Use of A dvanced Sensor Technology to Register and Refine 3D Point Clouds Representing Structures at a Plant Facility
(1) Acquiring 3D point clouds from various locations for the complete 3D data acquisition for the plant fac
Ⅲ. Project Details and Results
1. Objective 1: Develop a Process for Use of A dvanced Sensor Technology to Register and Refine 3D Point Clouds Representing Structures at a Plant Facility
(1) Acquiring 3D point clouds from various locations for the complete 3D data acquisition for the plant facility
(A) Testbeds discussion/selection for the plant facility
(B) Establishment of data acquisition plan within the plant facility
(C) Technology exchange and cooperation with the 3D scanning company
(D) Acquisition of one data through the testbeds
(2) Development of the coarse and fine registration technologies
(A) Establishment of 3D point clouds registration technology appropriate to the data characteristics
(B) Technology exchange and cooperation with the plant information modeling company
(C) Development of 3D point clouds registration technology
(3) Development of the data reduction and outlier removal technologies
(A) Establishment of outlier removal technology appropriate for the data characteristics
(B) Outlier removal technology review through expert consultation
(C) Development of outlier data removal technology
(4) Registration, data reduction, and outlier removal of the 3D point clouds acquired from the operating plant facility
(A) Testbeds discussion and selection for the operating plant facility
(B) Establishment of data acquisition plan within the plant facility
(C) Acquisition of 3D point clouds from the testbeds
(D) Registration, data reduction, and outlier removal of the 3D point clouds
(5) Verification and modification of the registration, data reduction, and outlier removal technologies
(A) Development of strategy for the verification and modification of the developed technologies
(B) Derivation of improvements and technical modification for the developed technologies
(C) Development and registration of the 3D point clouds registration and refinement system for the plant facility
(6) Evaluation of the applicability of the developed technology to the testbeds
(A) Establishment of the testbeds application plan
(B) Establishment of the field applicability evaluation plan for the 3D point clouds registration and refinement system
(C) Testbeds application and field applicability evaluation for the developed system
2. Objective 2: Develop an A s-Built 3D Information Model of Cylindrically Shaped Plant Pipelines Using Computer Vision Technology
(1) Identifying the characteristics for the 3D point cloud extraction for all pipelines from the 3D data of the plant facility
(A) Identify technology standard and trend related to domestic / foreign plant information modeling
(B) Analysis of technological requirements for the 3D point cloud extraction for all pipelines from the 3D data of the plant facility
(C) Survey for reflecting consumer requests
(2) Development of the 3D point cloud extraction technology for all pipelines
(A) Establishment of the 3D point cloud extraction technology for all pipelines appropriate for the data characteristics
(B) Development of the 3D point cloud extraction technology for all pipelines
(C) Evaluation and modification of developed technology through the testbeds
(3) Development of the skeletonization technology of all pipelines
(A) Analysis of technological requirements for the skeletonization technology
(B) Establishment of the development framework for the skeletonization technology
(C) Technology review of the skeletonization technology through technology development and consultation
(D) Evaluation and modification of developed technology through the testbeds
(4) Development of the piping part recognition technology
(A) Analysis of characteristics per part and connection relation between parts for the pipelines
(B) Establishment of development framework for the piping part recognition technology
(C) Technology review of the piping part recognition technology through development and consultation
(D) Evaluation and modification of developed technology through the testbeds
(5) Development of the parametric modeling technology of for each type of pipeline
(A) Definition of parameters for the automated parametric modeling for each piping part
(B) Establishment of the development framework for the surface modeling technology of each piping part
(C) Technology review of the surface modeling technology for each piping part through development and consultation
(D) Evaluation and modification of developed technology through the testbeds
(6) Experimental validation and modification of the developed technology
(A) As-built plant piping information modeling for the plant facility
(B) Verification and modification of the as-built plant piping information modeling technology
(C) Analysis and evaluation of technological validity based on the testbeds and field application result
3. Objective 3: Develop an A s-Built 3D Information M odel of Valves, Control Devices, and Equipment Based on a Plant Database
(1) Development of the 3D point cloud extraction technology for valves and control devices
(A) Establishment of the 3D point cloud extraction technology for the plant valves and control devices appropriate for the data characteristics
(B) 3D point cloud extraction technology development for the plant valves and control devices
(C) Evaluation of developed technology through the testbeds
(2) Development of the matching and retrieving technology based on the plant database for valves and control devices
(A) Analysis of technological requirements of the matching and retrieving technology based on the plant database for valves and control devices
(B) Establishment of the matching and retrieving technology appropriate for the data characteristics based on the plant database
(C) Development of the matching and retrieving technology appropriate for the data characteristics based on the plant database
(3) Development of the fitting technology for valve and control device modeling
(A) Establishment of the fitting technology appropriate for the data characteristics based on the plant database
(B) Development of the fitting technology appropriate for the data characteristics based on the plant database
(4) Development of the 3D point cloud extraction technology for equipment
(A) Analysis of technological requirements of the 3D point cloud extraction technology for equipment
(B) Establishment of technology development framework of the 3D point cloud extraction technology for equipment
(C) Development of the 3D point cloud extraction technology for equipment and testbeds application
(D) Technology improvement and sophistication by reflecting the improvements
(5) Development of the matching and retrieving technology based on the plant database for equipment
(A) Analysis of technological requirements for the matching and retrieving technology based on the plant database
(B) Establishment of development framework of the matching and retrieving technology for equipment
(C) Development of the matching and retrieving technology and testbeds application
(D) Technology improvement and sophistication by reflecting the improvements
(6) Development of the 3D geometry recovery technology for equipment based on primitive combination
(A) Definition of components for each plant equipment type
(B) Establishment of development framework of the 3D geometry recovery technology for equipment based on primitive combination
(C) Technology review of the 3D geometry recovery technology for equipment based on primitive combination through technology consultation
(D) Evaluation and modification of one developed technology through the testbeds
(7) Experimental validation and modification of the developed technology
(A) Valves, control devices, and equipment modeling for the plant facility
(B) Verification and modification of the automated as-built plant valves, control devices, and equipment modeling technology
(C) Analysis and evaluation of the technological validity based on the testbeds and field application result
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