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Investigating whether the latest developments in sensor technology, artificial intelligence and wireless communications can provide the basis for an objective maintenance needs. The “maintenance” system is based around an integrated-device- on-nano/microchip solution that will utilise electrochemical measurements and signal analysis methods. The system is centred on the creation of a dedicated nano/microchip solution in which artificial intelligence (AI) software will be integrated with wireless communication technology. And embedded on an advanced sensor; (micro/nanotechnology expert systems, artificial neural networks, and fuzzy logic) to monitor, analyse and report performance condition from pipeline to a central command station. The proposed integrated-device-on- microchip solution amalgamates a number of techniques based on artificial intelligence that also combines recognition, optimisation, noise/vibration recognition, and predictive non- mathematical algorithms to provide a highly sensitive, comprehensive signal analysis capability and report. The project is concerned with the development of miniaturised nanosensors incorporating wireless technology that can be retrospectively embedded into a range of building components (currently trialling on Buried Corroded Oil Steel Pipelines). Once embedded these intelligent sensors will be able to detect changes in a components performance and provide information to operations and maintenance staff on imminent failure or consequential damage. This information will allow interventions to be triggered before system failure occurs. Further, as the sensors ‘learn’ the performance criteria associated with its specific location the performance information gathered will be used to inform the maintenance planning process eventually providing reliable information on remaining life without the need for system wide condition survey work. This will both reduce the cost of maintenance and optimise the remaining life of components. The nano-sensors will accommodate intelligent decision support capabilities in the miniaturised sensors that will monitor and report changes in the operating state of the built component. The performance criteria measured will differ from component to component but the sensors will be able to evaluate the impact that changes have on the remaining life span and on the performance/integrity of related components in the building subsystem without third party intervention.
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