| 1. |
- Arvidsson, Anna K, 1971-, et al.
(författare)
-
Appraisal methodology : Deliverable D2.1
- 2023
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This report represents INFRACOMS deliverable D2.1 Appraisal Methodology. It builds upon the deliverables of INFRACOMS Work Package 1 which identified the information needs, gaps and priorities of NRAs in terms of their approach to data collection and monitoring, and a list of current and emerging measurement technologies. This report includes a review of several commonly-used appraisal methodologies that can be used to evaluate the effectiveness, suitability and potential impact of new technologies for an organisation. These methodologies include Technology Readiness Levels (TRLs), Cost Benefit Analysis (CBA), Life Cycle Cost Analysis (LCCA), Risk Assessment, and Multi-Criteria Decision Analysis (MCDA). Elements of these commonly used methodologies are included in the INFRACOMS Appraisal Methodology. The report also includes key highlights from a workshop with NRAs conducted in January 2023 which also fed into the design of the appraisal methodology. The INFRACOMS Appraisal Methodology described here is designed around the technology use case, that is, a particular application of a technology by a NRA. It incorporates three core processes for Pre-Evaluation, Evaluation and Case Studies of technology use cases. It also includes processes for NRAs to define their strategic and technical priorities so that the appraisal process can be tailored to addressing their individual requirements, as identified from Work Package 1.
|
|
| 2. |
- Arvidsson, Anna K, 1971-, et al.
(författare)
-
Current Practice, Future need and Gap Analysis : Deliverable D1.1
- 2023
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This report is INFRACOMS first deliverable D1.1. It addresses the “Understanding of information needs and gaps” component of the project. The aim has been to identify the current priorities and future needs of NRAs for the management of carriageway and bridge assets, specifically in terms of their approach to data collection and monitoring. The approach has been to establish existing knowledge via a review of previous projects, current best practices and standards in data collection and inspection, and a review of current business processes, NRA strategies around data collection and digitalisation etc. The report identifies a set of key imperatives for carriageway and bridge assets covering Availability, Reliability, Environment, Economy and Safety. Each of these is supported by the collection of key condition data, which is used to report technical parameters and performance indicators that can be combined to assess the ability of the asset to meet its key imperatives. A wide range of technologies are identified, which are currently applied to collect the data that supports this assessment.The consultation shows that there are also gaps between the desired and the current capability for the assessment of these assets. These include gaps in the data, challenges in the ability to collect the data, gaps in the application of the data that is already collected etc. A review of emerging technologies shows that there are tools and technologies that could help to fill these gaps. These could overcome the limitations of current technologies, better integrate new data sources, provide greater flexibility in using current and new data, and provide better analysis. They include remote sensing, Internet of Things (IoT), crowdsourcing, and advanced data processing/visualisation.
|
|
| 3. |
- Arvidsson, Anna K, 1971-, et al.
(författare)
-
Report on state-of-the-art data assessment and visualisation methods : Deliverable D3.1
- 2023
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Effective analysis and visualisation of data is critical for the efficient application of the data provided by carriageway and bridge condition monitoring technologies. It supports better decisions in relation to asset reliability, availability, safety, economy and environment. This report discusses the link between the data provided by monitoring technologies on the properties of assets and how the collected data can be analysed and visualised to provide value in decision support. The next step in the report is to use this understanding to develop an appraisal system which could enable technologies in the INFRACOMS technology database to be appraised (scored) in relation to their abilities for data analysis, visualisation, integration and use in decision support.The presented system is referred to as the D3.1 scoring system. It consists of four components covering data visualisation, data analysis, integration within current data architectures and potential for practical decision-making. The present D3.1 report primarily examines the components pertaining to data visualisation and data analysis, while the exploration of the other two components, data architecture and decision support, will be carried out in the D3.2 report. It is proposed that the D3.1 scoring system could be used to appraise the capability of monitoring technologies to support asset management decisions, and would become an integral component of the INFRACOMS Appraisal Toolkit. It will also be used to further filter the current INFRACOMS Technology Database 2.0 technologies as part of the Appraisal Toolkit as INFRACOMS completes the development of the toolkit/database within WP2.
|
|
| 4. |
- Zhang, Fengqiao, et al.
(författare)
-
Integration of New and Emerging Technologies into Data Architectures : Deliverable D3.2
- 2023
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- To appraise the ability to integrate the data provided by a specific technology into an existing data architecture this report commences with the development of an approach to describe the "ideal" data architecture, that can integrate various types of data from new and emerging technologies to facilitate decision making. The data architecture forms a pipeline from raw data creation/delivery to data ingestion, data organization, data analysis and visualisation, until information that is useful for decision making. We then review two existing data architectures as examples in the context of the proposed data architecture pipeline. From the understanding of the two sides – the data properties of technologies and the capabilities of data architectures – we develop an appraisal scoring process to evaluate the ability to integrate the new data into the existing data architecture.To generalize this approach, the report presents a list of questions that can be used by stakeholders to help understand the data architecture used by any NRA (not only limited to the selected examples) when conduct the appraisal. We also develop an appraisal scoring process to evaluate the potential of the technologies to support practical decision making.The outcomes in this report (D3.2) and the previous one (D3.1), complete the INFRACOMS appraisal (scoring) system for the aspects of: data analysis, visualisation, integration into data architecture and potential support for decision making (forming part of the overall appraisal process). An example application of the process is presented for the case of acoustic emission monitoring the wire break in steel cables. In addition, the process has been applied to further technologies in the INFRACOMS database 1.0, and provided in the appendix. It is anticipated that refinement, and further guidance
|
|
