Digital Engineering Future information management for Asset Management

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1 Digital Engineering Future information management for Asset Management David Darwin Outcome Delivery Manager NZ Transport Agency

2 We are in a time of challenging and rapid change We need new responses

3 The data explosion is making tomorrows asset management unlike anything we saw yesterday Vehicle management systems Navigation systems Sensors measuring anything, that are as cheap as chips Imagery and analytics Social media Being curious Becoming aware Making sense Credible stories about meaning

4 All information is becoming available to everyone, in real time Business to business communications Internet of things Public data bases Third-party collection and provision Collaboration exploit expertise widely Systematic meaning not confusion Artificial Intelligence analytics automation not effort Automation intervention algorithms, better decisions Staying ahead of the game

5 Customers & experts have more service information than asset managers Fleet managers Logistics companies Smart phone owners Membership organisations: AA RTF Start-ups, entrepreneurs Relationships Intelligence Adaptability Innovation

6 Evidence based suggestions for service improvement will come from anywhere Consultants Contractors Peak bodies: AA RTF Regulators Data junkies Adaptable Fast Role clarity

7 Digital Engineering BIM an appropriate information management response Collaborative Cultural change Role clarity Adaptability Digital information Open source information & communication standards Structured & unstructured data

8 What is digital engineering BIM? A collaborative way of working, using digital processes and smart tools, to enable more productive methods of delivering well-informed services when planning, designing, constructing, operating and maintaining assets: digital information & 2d 3d models readily accessible, real time information, whatever the type, irrespective of its source, wherever the decision maker is, on site, in the office, with customers real-time data and impact forecasts capturing data once as the source of the truth, many people using it many times capturing data that is useful and managing it as an asset

9 Building information management will change how and where we access information Plans Data Various media At desk, reported Format 16:9 Digital models Spatial insight Integrated information On site, current 9

10 Format 16:9 10

11 The benefits are better customer service and lower cost Format 16:9

12 Building information management has specific requirements Data and electronic communication standards Integrated, open data sources Common data environments Business intelligence analytics and insight 2d and 3d spatial models and tools to capture, manipulate, analyze and present information

13 It is the right time to develop a consistent approach to digital building information management in New Zealand It is being used now, and its use will grow in an ad hoc fashion Its use is currently inconsistent across projects We have the opportunity to consistently adopt and use open data and communication standards across NZ Data scope and quantity exploding, big data analytics are maturing We can deliver better and cheaper services to our customers There is no technology limit

14 What might this look like for pavement management? Routine collection of extensive rich data sets using standard data types and reference Lidar based assessment of road surface condition, shape, onset and progression of surface faults, SCRIM Pavement strength and flexibility from TSD or similar, pavement moisture from GPR Ride quality data from customers, fleet operators Environmental data: rainfall, river flow

15 What might this look like for pavement management? Big data analytics Extensive use of AI and data mining across many networks to extract insight from spatial, temporal, imagery and tabular data Better identification of what matters most, the root cause of faults and optimum timing and type of intervention Algorithms targeting intervention that are 30% better than anything in use today Timely, targeted preventive treatments as defects become apparent

16 What might this look like for pavement management? Works programme scheduling optimising interventions and minimising disruption Cross agency optimisation Integration of all work programmes Routine and systematic review of works effects against expectation, benefit realisation Ride quality, skid Subsequent maintenance and renewal works

17 As much a cultural as a technical change. Requires: the use of consistent practice over personal preference a whole of life asset management approach Democratises access to information: value-add comes from decision-making improvements can come from anyone Enables: better benchmarking and performance management greater scrutiny More rapid adoption of better practice nationwide

18 A collaborative approach should be adopted to deliver better results for New Zealand A collaborative approach to implementing building information management should: Improve quality, alignment, and buy-in, and, hasten and ease implementation Assist the development of consistent standards across transport agencies and suppliers, and within councils that manage a variety of infrastructure The Transport Agency will seek a collaborative approach to implementation

19 Agency intent Agree a collaborative approach to BIM/DE Develop a business case for implementation with partners Develop and adopt open data and communication standards that are compatible with other infrastructure initiatives Learn from pilot projects Adopt a staged approach to manage risk Work to adoption for the next maintenance contracts

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