SIAMA. SIAMA Asset Management Technologies Advanced Inspection Technology

Transcription

1 Prolonging Infrastructure Assets Life Asset Management Technologies Advanced Inspection Technology

2 Smart Infrastructure Asset Management Australia () Research and Development Research & Development company Location - Gold Coast, Queensland, Australia & China branch Nanjing Continuously develop innovative and effective technologies for prolonging infrastructure assets Strong theoretical background & expertise in road asset management 2

3 s Asset Management Technologies Precision Condition Data Acquisitions Unmanned Arial Vehicle (UAV) Unmanned Ground Vehicle (UGV) Mini-Crane and rail system Condition Assessment of Structural Components 14 image processing techniques Concrete/Steel materials Smart Infrastructure Management Systems (SIMS) for Bridges 3

4 CONTENTS Background Bridge Asset Management Limitations of Current Practice Procedure of Level 2 Inspection Advanced Inspection Technologies Precision condition data collection Data analysis method Benefits 4

5 What is Bridge Asset Management? To determine and implement the best possible strategy that ensures an adequate level of safety at the lowest possible life-cycle cost. (Frangopol et al., 2000) Required systematic approaches Increasing LCC Keep up-to-date information Must be durable Make right decisions Must be safe Asset Management Authorities Long-term planning Limited funds Cost effective operation Large network Effective use of funds (Das, 1998; FHWA, 1996) 5

6 History of Bridge Management System BMS History in the United States of America Research on computer-based BMS PONTIS ver.4.x National Bridge Inspection Program (NBIP) by Federal Highway Administration (FHWA) => Natl. Bridge Inventory NBI. (Czepiel, 1995) Release of commercial BMS PONTIS d Common Benefits of a BMS ü ü ü ü ü Developing defensible maintenance policies and strategies. Updatable results from simulation of bridge conditions. Systematic approaches. Support for asset management in terms of MR&R funding and budget allocations. Increased efficiency and effectiveness in collection and management of large size bridge inventory and inspection data. 6

7 Bridge Management System Procedures Major Tasks in Bridge Management Traditional method Collection of inventory data Inspection Assessment of condition and deterioration Prioritising the allocation of funds Maintenance, repair & rehabilitation (MR&R) Supported by BMS Collection of inventory data Inspection Import/export data Analytical Process Project-level analysis Reporting MR&R Network-level analysis MR&R strategies Cost analysis Optimisation 7

8 Background (1/6) What Bridge Management System (BMS) can do for you? Inspection Records Maintenance, Repair & Rehabilitation (MR&R) 3 1 Major Tasks 2 Various Analysis Current/ bridge performance and risk score in view of component/ project/network-level; MR&R cost & prioritisation; and Network-level budget planning. 8

9 Level 2 Bridge Inspection Bridge authorities are responsible for bridge networks To maintain the structures, a Bridge Information System (BIS) or Bridge Management System (BMS) is essential Without consistent and accurate bridge condition assessment, reliable BMS outcomes could not be expected For precise bridge condition assessment, inspection service providers should recognise the fundamental limitations of the current Level 2 Bridge Inspection 9

10 Inspection Procedures Typical Level 2 Bridge Inspection Procedures & 5 Pre-site visit Confirmation of required resources Perform condition assessment Preliminary/final inspection report The qualified inspector will conduct a inspection. The inspector will evaluate a condition rating for each individual structural element based on the standard Level 2 Inspection procedure. 10

11 Limitation of Level 2 Bridge Inspection Although current routine bridge inspections are required to be carried out by certified inspectors, some major issues have been identified: Visual inspections are subjective and not always reliable The manual inspection process is time-consuming and costly A number of safety risks are associated with bridge inspectors To minimise these limitations, enhanced asset management technologies are significant: is developing an advanced Level 2 bridge Inspection method Using an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV) in order to collect high quality image data Using image processing techniques to analyse precise condition status 11

12 Innovative Bridge/Culvert Asset Management Technology 3 Steps of Process Condition Assessment Data Processing Data Acquisition Data Management automated inspection method (via UAV, UGV, Crane and Rail) Automatic image processing Raw images Defect detect software Analysis outcomes Manual (Visual)-based structural inspection method Engineer s Supervision Report condition assessment outcomes Update to Decision-Support System database (i.e. SIMS Bridges) Step 1 Collecting all bridge component images using UAV/UGV techniques. Step 2 Analysing data to find defects from three different types of bridge materials using 14 image processing techniques. Step 3 Generating an inspection report automatically. 12

13 Innovative Bridge Inspection Technology Step 1: The still images of the bridge components to be assessed are collected using a high-resolution digital camera via the UAV, UGV or mini crane & rail system Step 2: The captured images are classified based on the element s identification and location on the bridge. s image processing techniques will be applied to detect various structural defects Step 3: The evaluated condition state of each element is used to generate the Level 2 Inspection report form (by SIMS Bridges) 13

14 s Asset Management Technology Short Videos 14

15 s Cutting-edge Inspection & Management Technology UAV/UGV: The unmanned aerial and ground vehicle can easily access hard to reach points of a structure to collect condition data. Image processing Bridge/culvert inspection Image processing: Cutting-edge image processing techniques to precisely detect and evaluate a defect. Data management: Advanced BMS, SIMS bridges, for efficiently managing condition data and to reliably analyse bridge needs. Advanced data management/analysis 15

16 Smart Data Acquisition Technology (SDAT) High-Tech Data Acquisition The key to s Smart Data Acquisition Technology lies within the capability of its UAVs (Unmanned Aerial Vehicles) and UGVs (Unmanned Ground Vehicles), which are remotely piloted to capture a detailed and accurate scan of all exposed surfaces. 16

17 Unmanned Aerial Vehicle (UAV) Captures 60 40cm images from underneath bridge Precise UAV localisation technique is essential ü Useful technology for precise vehicle control under poor satellite support and/or in an indoor environment. ü Most challenging part. ü there will be a large number of adoptable applications. ü High global competition by many research institutions 17

18 UAV Communication Layout 18

19 Main Components for Local Positioning System Flight Controller: controls the movement of the UAV. IMU (Internal Measurement Unit): measures orientation and acceleration of the copter. On-board Computer: handles the commotion between the flight controller and the base station. Laser Scanners: provides measurements to surrounding objects. 19

20 Inspection Procedure (UAV) 20

21 Example: UAV Local Positioning System - Video Indoor flight = No GPS/GNSS support Position hold mode functioning well. Position hold to the target (0:48-1:02 in the short-video). 21

22 Unmanned Ground Vehicles (UGVs) s remote controlled mini UGV is capable of conducting autonomous culvert inspections in confined spaces as low as 1.2 metres in height. 22

23 Unmanned Ground Vehicles (UGVs) The UGV utilises the same state-of-the-art scanning and positioning system employed by s UAV to navigate and capture 360- degree surface imagery of the entire length of the culvert. These images are then paired with distance measurements captured by the UGVs laser sensors to identify and record the exact position of a specific defect. s UGV system also allows the entire surface of the culvert to be accurately recorded and analysed while maintaining a safe and secure work environment for staff, by eliminating the issues associated with operating in confined spaces. 23

24 UGV UGV Specification [Top view] [Rear view] 24

25 UGV inspection procedure 25

26 Example: UGV - Video 26

27 Mini Crane & Rail System High-Tech Data Acquisition When Flying Isn t An Option As versatile as s UAVs are, there are some situations where using a UAV isn t a viable option, and for these inspections, s Mini Crane and Rail System is used to perform under-bridge inspection and data collection activities. 27

28 Mini Crane & Rail System Crane & Rail 28

29 Mini Crane & Rail System Mini-Rover [Front View] [Side View] 29

30 Crane & Rail Inspection Procedure 30

31 Field Test (Mini-Crane & Rail System) 31

32 The benefits of s Enhanced Inspection method Highly reliable inspection results and an extremely useful input resource for a BMS to reliably analyse various current and future bridge Maintenance, Repair & Rehabilitation (MR&R) needs Long-term dependable decisions that lead to extending the life span of a structure and saving rehabilitation cost and time The process of acquiring condition data and reporting inspection results will be a much faster procedure as it is carried out by automatic processes under manual supervision thus improving productivity A more economical solution, as there is only a minimal amount of equipment needed 32

33 Applications - s Data Acquisition Technology Various Application 33

34 Smart Image Processing Technology (SIPT) State-of-the-Art Image Processing and Analysis 34

35 Smart Image Processing Technology (SIPT) Images captured during the initial data acquisition / inspection phase are processed utilising s state-ofthe-art Smart Image Processing Technology (SIPT). The process selects the appropriate image processing technique and defect mechanism required to detect, identify and analyse the defect type and determine the element condition state. 35

36 Condition Assessment Using Image Processing Techniques Image Processing Technology - to improve the accuracy, consistency and reliability of analysing and evaluating structural defects. Image Processing Technology Concrete material Steel material 1. Cracking; 2. Corrosion; 3. Spalling; 4. Carbonation; 5. Surface defect; 6. Alkali-silica reaction (ASR); 7. Delamination. 1. Cracking; 2. Corrosion; 3. Permanent deformation; 4. Loose connection Other material 1. Cracking; 2. Splitting; Spalling; Disintegration 3. Loose mortar and stones. 36

37 Image Processing Example: Crack detection CS 3 2C, Barriers 2C, Barriers Condition States CS1 CS2 CS3 CS4 CS 1 CS 2 CS 3 Crack Width (mm)

38 SIMS Bridges Advanced Bridge Management System 38

39 SIMS Bridges Advanced Bridge Management System s data analysis and management software package, Smart Infrastructure Management System (SIMS) Bridges, provides asset owners with an industry-leading asset condition, management and maintenance decision support tool. 39

40 SIMS Bridges High-tech Data Analysis and Management SIMS Bridges utilises the bridge component condition rating data outputs of s Smart Image Processing Technology (SIPT), to conduct current and future bridge performance analysis at a component, project and network level. Alternately, asset owners can access the data analysis and Maintenance, Repair and Rehabilitation reporting outputs of SIMS Bridges utilising their own in-house asset inspection and condition rating data. SIMS Bridges condition rating data assessment and reporting outputs assist asset owners to transition from reactive Maintenance, Repair and Rehabilitation (MR&R) activities towards more cost effective and proactive bridge maintenance strategies. 40

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