Pilot Experiments
SMARTCHAIN
GREECE
Ahedd
Experiment objective
To introduce a new battery operated sensor with the ability to measure temperature, humidity and vibrations along with gps coordinates and AI intelligence towards tracking down the transportation environment of goods, with the emphasis to food. This sensor will produce a data stream that will be combined with an independent AI module produced by Ahedd (The DIH team) with the aim to provide advanced analytics and predictions to support data-driven decisions based on sensorial and geo-spatial sensor data.
Challenges
Designing a new hardware module from scratch, prototyping it with regard to electronics, firmware, packacking and designing an IoT platform with the ability to accommodate and expose sensor data while developing an API feature so that sensoring data will be seamlessly combined with AI generated data. A mobile app will be utilizing NFC as an initialization device, reconfiguring the way the sensor operates with respect to the good that are monitored.
Implementation Solution
Fuelics, the SME / sensor manufacturing partner, drafted specifications for a completely new sensor, drafted the BOM (Bill of materials), designed the PCB and prototyped the package in a 3D printer. The first run of development reached a low TRL sensor with various designing bugs, that needed upgrading. The second iteration was successfully implemented and Fuelics team developed the cloud infrastructure medium that hosts measurements whereas Fuelics introduced the remote management stack over NBIoT that allows the remote (or over NFC close proximity) reconfiguration of the device operational characteristics such as frequency of sampling, setting of alarms and notifications etc.
Ahedd worked in parallel and under complete alignment with Fuelics in order to set up an AI module capable of harvesting data from the cloud that lead to the possibility of calculating risks and making justified and trustworthy delivery and insurance claims, in cases where the transport renders problematic. The AI module in seamlessly integrated with Fuelics SmartChain API. Weather predictions and routing predictions/calculations have been successfully demonstrated.
Results Obtained
Two types of data sets created by the sensor and the AI module where evaluated and demonstrated. Once the sensor was functional, we made various trips within Athens, Greece and Central Greece in order to validate the efficacy and accuracy of data. Sensoring data where accurate after a recalibration of the humidity sensor, whereas geographical data, vibration and thermal data where accurate too. As a result Fuelics moved internally towards reaching a TRL 8, since Fuelics invested in the final upgrade of the sensor.
Impact of the experiment
A new product will be released by Fuelics within Q4 2023. SmartChain contributed in raising capital towards initially designing and redesigning the hardware towards a TRL8 product. This product will be installed in a SmartCity experiment monitoring fridges with food being delivered to schools. There, the temperature and the humidity of at least 4 schools will be tracked, before expanding the solution to cover all schools in the region, safeguarding the well being of pupils.
Dissemination
Various posts in Fuelics site, Fuelics Linkedin page and press publications from Ahedd, along with various ecosystem build up on line sessions from Ahedd contributed in building up exposure for the project.
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