In the IoTCrawler project we have defined a number of scenarios where the IoTCrawler framework is put into concrete use.Below you will find a list and description of these scenarios. You are most welcome to contact us to comment and send us feedback on the scenarios. The IoTCrawler scenarios and requirements will drive the development of the IoTCrawler Framework and will provide the project partners an initial version of the IoT Crawler framework. We have identified over 22 initial application scenarios that will benefit from IoTCrawler. The scenarios are used to extract technical and non-technical requirements detailing an initial set of KPIs that will provide the basis for evaluating the results of the project. We have also identified an initial set of cross domain scenarios. The framework defines the components and a high level specification of the interface that will enable distributed crawling, discovery, indexing, search and integration of the dynamic data and services in already available IoT resources frameworks. This will be an essential starting point for the technical developments for the project. The list below is for now only an intial list of the 22 scenarios. For now it only represents a selection of scenarios of our four main domains; Smart City, Social IoT, Smart Energy and Industry 4.0.
The smart city domain is by far the largest domain in the IoTCrawler project. This is due to the fact that Smart Cities provide many opportunities for IoT applications and are particularly well suited for crawling as they provide openly accessible data sources. Therefore IoTCrawler has a strong commitment to Smart City scenarios.
IF THIS THEN THAT (IFTTT): Homemade Digital Citizen Services & Experiments: This scenario is about integrating IoTCrawler into IFTTT.com ( or a similar platform like Zapier.com) in order to enable citizens to create smart services for themselves and experiment with open data. IFTTT can connect two different platforms/services in a very simple way, where one act as a trigger to do something in the other. In IoTCrawler a citizen could e.g. use this to create a “Remember the umbrella”-service by using local precipitation data (from IoTCrawler) as the trigger to create an action in Facebook Messenger with a message saying “Remember the umbrella”
City Lab Analytics: A trend amongst Smart Cities is to establish outdoor urban testbeds to demonstrate and experiment in the public with new smart city solutions. Bringing the experiments directly into an urban setting means faster feedback and a greater chance to come up with the right solutions to tackle the city’s challenges. To enable Smart Cities to track the development of their City Lab and the potential interest from outside a City Lab Analytics scenario is described. IoTCrawler discovers what known and unknown IoT sources are placed at the City Lab, while also tracking the activities by looking for specific KPI’s
The Social IoT domain- relates to applications in which IoT data is used to create social networks. In one variant, sensor data may be collected independently from the social groups that consume the data. Examples include some of the commercial applications in basketball and mixed martial arts. In other variants a large number of people may provide and IoT data themselves. The social IoT domain is very strongly connected to (large) events in different settings and therefore has a strong relationship to the Smart City domain.
Social IoT on the Web: This scenario demonstrates how IoTCrawler can use data on the web, in particular Social Media generated by event participants, to be used for creating additional insights about the event.
Sensors of the Crowd: This scenario shows how IoTCrawler can discover sensor data from wearables and mobile phones of a large crowd of people attending an event if they are willing to share their data. This version of the scenario focuses on using audio data for creating excitement insights.
Find My Lost Child: Real-time detection of geolocation for particular people with specific traits through public IoT devices.
This domain is represented by two scenarios. The scenarios will demonstrate how sensitive information and services provided by building management systems, which are unknown to a grid operator but operate within its grids, can be integrated in the operator’s operation and planning processes. IoTCrawler will allow to significantly reduce the integration effort while maintaining data privacy and security requirements of the involved entities.
IoT aided Smart Grid Planning: This scenario demonstrates how IoT-Crawler technology can be used to enable a secure and managed access of location-specific prosumer data in the context of grid planning. The specific scenario will facilitate the integration of services and information provided by prosumers and other intelligent smart grid entities into the planning process of distribution system operation.
IoT aided Smart Grid Operation: This scenario demonstrates how IoT-Crawler technology can be used to enable a secure and managed access of location-specific prosumer data in the context of grid operation. The specific scenario will facilitate the integration of services and information provided by prosumers and other intelligent smart grid entities into distribution system operation. Being able to access real-time information on load and generation helps distribution system operators to forecast daily operational parameters in order to keep its grid operation within the required operational boundaries.
This domain is represented by one initial scenario. We consider IoTCrawler to play an important role in this domain as it will allow to significantly reduce the integration effort and costs of sensor data from manufacturing machines: In this scenario IoT Crawler performs in an environment with a predefined scope for crawling and will semi-automatically discover related data.
Condition Monitoring and process optimization: Will be updated soon.