IoT Solutions for Airports

iotWhat can IBM IoT (Internet of Things) do for airports: 

  • Improve airport performance
  • Improve customer experience
  • Optimize operational productivity
  • Optimize asset use, costs and lifecycle

What can IBM IoT (Internet of Things) do for airports:   Improve airport performance Improve customer experience Optimize operational productivity Optimize asset use, costs and lifecycleIoT Solutions for AirportsChallenges and Problems Today, aiports face various challenges and problems which, if not tackled, lead to performance degradation and bad customer experience. Some of them are: -  Challange of passanger growth According to the International Air Transport Association (IATA), by 2035 air travel will be doubled to 7.2 billion passengers per year. Inevitably, the constantly increasing flight volume is having an impact on the health and maintenance of airport assets.  - Most flight organizations have Tons of DATA but not the RIGHT data or USEFUL Information - Approximately 11% of components of a complex asset fail over time. 89% fail randomly over time. Today, aiports face various challenges and problems which, if not tackled, lead to performance degradation and bad customer experience. Some of them are: -  Challange of passanger growth According to the International Air Transport Association (IATA), by 2035 air travel will be doubled to 7.2 billion passengers per year. Inevitably, the constantly increasing flight volume is having an impact on the health and maintenance of airport assets.  - Most flight organizations have Tons of DATA but not the RIGHT data or USEFUL Information - Approximately 11% of components of a complex asset fail over time. 89% fail randomly over time.Solution The Internet of Things (IoT) is the networking of physical devices or "things" embedded, with electronics, software, sensors, and connectivity to enable objects to collect and exchange data. Some facts about IoT and Asset Management tendencies: Experts estimate that the IoT will consist of almost 50 billion objects by 2020 IoT helps organizations move to advanced stages of Asset Management Addressing the 89% random failures with a combination of Asset Data, Operations Data, Maintenance Data and supported byTechnology (IoT and PMQ) is key to being a leader in this challenge   The Internet of Things (IoT) is the networking of physical devices or "things" embedded, with electronics, software, sensors, and connectivity to enable objects to collect and exchange data. Some facts about IoT and Asset Management tendencies: Experts estimate that the IoT will consist of almost 50 billion objects by 2020 IoT helps organizations move to advanced stages of Asset Management Addressing the 89% random failures with a combination of Asset Data, Operations Data, Maintenance Data and supported byTechnology (IoT and PMQ) is key to being a leader in this challenge  Cognitive Analytics There are three capabilities that differentiate cognitive systems from traditional programmed computing systems: Understanding - Cognitive systems understand like humans do, whether that’s through naturallanguage or the written word; vocal or visual. Reasoning - They can understand information but also the underlying ideas and concepts. Thisreasoning ability can become more advanced over time. Learning - They never stop learning. As a technology, this means the system actually gets more valuable with time. They develop “expertise”. Why airport organizations should use cognitive systems: Improve return on investment Minimize downtime/failure Increase service availability Optimize asset performance Reduce operating cost Reduce Customer Impact There are three capabilities that differentiate cognitive systems from traditional programmed computing systems: Understanding - Cognitive systems understand like humans do, whether that’s through naturallanguage or the written word; vocal or visual. Reasoning - They can understand information but also the underlying ideas and concepts. Thisreasoning ability can become more advanced over time. Learning - They never stop learning. As a technology, this means the system actually gets more valuable with time. They develop “expertise”. Why airport organizations should use cognitive systems: Improve return on investment Minimize downtime/failure Increase service availability Optimize asset performance Reduce operating cost Reduce Customer ImpactGTAA IoT Pilot Project GTAA has teamed with EDI, Arrow Electronics and IBM to implement an IoT pilot project which willdeliver real time data for asset health monitoring and predictive failure analytics. The pilot will befocused on three key customer facing systems: 1. People Moving Devices: Moving Walk Escalator 2. Passenger Boarding Bridge Potable Water Cabinet 3. Baggage Handling System Power Turn Conveyor   Project Architecture Publish and Subscribe based flow• Sensors connect to Arrow Connect Gateway – Arrow Connect Gateway publishes sensor messages to IBM Cloud• Sensor data is rendered into dashboards using IoT Platform and Node Red• Node Red used to apply logic and rules to the data so that automatic work orders are produced in Maximo• Asset meter objects collect data from the IoT Platform by subscribing to meter events• Data is stored in a cloud based database for longer term historic analysis ( Required for predictive analytics) IBM BlueMix/Node Red• Converting Data to Information using Rule Based Analytics   GTAA has teamed with EDI, Arrow Electronics and IBM to implement an IoT pilot project which willdeliver real time data for asset health monitoring and predictive failure analytics. The pilot will befocused on three key customer facing systems: 1. People Moving Devices: Moving Walk Escalator 2. Passenger Boarding Bridge Potable Water Cabinet 3. Baggage Handling System Power Turn Conveyor   Project Architecture Publish and Subscribe based flow• Sensors connect to Arrow Connect Gateway – Arrow Connect Gateway publishes sensor messages to IBM Cloud• Sensor data is rendered into dashboards using IoT Platform and Node Red• Node Red used to apply logic and rules to the data so that automatic work orders are produced in Maximo• Asset meter objects collect data from the IoT Platform by subscribing to meter events• Data is stored in a cloud based database for longer term historic analysis ( Required for predictive analytics) IBM BlueMix/Node Red• Converting Data to Information using Rule Based Analytics  Current Status Sensors have been installed and tested on the BHS, PWC, two PMD’s Sensor data is being published to the IBM IoT Platform (Bluemix) Dashboards present real-time and historic views of the data Rules defined to automate the generation of work orders in Maximo and alerts via email Sensors have been installed and tested on the BHS, PWC, two PMD’s Sensor data is being published to the IBM IoT Platform (Bluemix) Dashboards present real-time and historic views of the data Rules defined to automate the generation of work orders in Maximo and alerts via emailNext Steps Gathering DataIoT is not just about collecting lots of data and doing ‘corrective maintenance’ – it’s more about getting the right data that will yield long term historical analytics. PMQIf you have the right data (and we do!) we can enrich that data with all other data sources to move towards predictive analytics. Predictive MaintenanceThe goal is to significantly reduce breakdowns and unplanned maintenance and move to a more condition based and predictive based maintenance paradigm. Feasibility StudyFinally. need to determine what areas will return highest return on investment. Study needs to compare current failure rate and the impact/risk to the operation to support investment. Questions to beanswered; will this become an overlay to current system or a requirement for systems moving forward?   Gathering DataIoT is not just about collecting lots of data and doing ‘corrective maintenance’ – it’s more about getting the right data that will yield long term historical analytics. PMQIf you have the right data (and we do!) we can enrich that data with all other data sources to move towards predictive analytics. Predictive MaintenanceThe goal is to significantly reduce breakdowns and unplanned maintenance and move to a more condition based and predictive based maintenance paradigm. Feasibility StudyFinally. need to determine what areas will return highest return on investment. Study needs to compare current failure rate and the impact/risk to the operation to support investment. Questions to beanswered; will this become an overlay to current system or a requirement for systems moving forward?  Lessons Learned • An IoT project spans the line of business and the IT departments – it is essential that you collaborate with all parts of the business – in our case, this included EDI, Arrow, GTAA IT and GTAA Maintenance (and IBM). If you don’t collaborate you will hit multiple brick walls.• Choosing the right sensor is very important and took a lot longer than we initially thought it would• Consider the total IT infrastructure – organisations like an Airport run very secure networks with multiple firewalls and restrict anything that is not business critical. Watson IoT requires certain ports to be opened that are not standard – make sure you take this into account• Never assume that, just because there is an Ethernet cable close by, it is connected to a gateway • An IoT project spans the line of business and the IT departments – it is essential that you collaborate with all parts of the business – in our case, this included EDI, Arrow, GTAA IT and GTAA Maintenance (and IBM). If you don’t collaborate you will hit multiple brick walls.• Choosing the right sensor is very important and took a lot longer than we initially thought it would• Consider the total IT infrastructure – organisations like an Airport run very secure networks with multiple firewalls and restrict anything that is not business critical. Watson IoT requires certain ports to be opened that are not standard – make sure you take this into account• Never assume that, just because there is an Ethernet cable close by, it is connected to a gateway

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