Reference projects

iRoad

Traffic counting and ghost driver detection system.

Eistec developed sensor nodes based around the Mulle for use in traffic detection placed at the side of the road. The sensor nodes detect magnetic field disturbances caused by passing vehicles and are powered by LiPo batteries with charging from solar panels on the device. Starting at the prototype stage, the Mulle was used for evaluating different sensor hardware components and power solutions. After hardware evaluation, Eistec provided hardware design services to design application specific boards in order to reduce size and optimize the parameters for the specific case. The low power operation of Mulle devices in combination with a small power harvesting solution allow these sensor nodes to operate continuously, reporting detections to the cloud based monitoring solution provided by iGW and their Byteport platform. The software solution running on the nodes was developed in cooperation between Eistec and Rubico software development engineers.

Read more: http://www.iroad.se

COBS

Wireless conveyor belt supervision.

The objective of the project is to provide intelligent condition monitoring of rollers used in conveyor belts for transporting iron ore for long distances. Condition monitoring can reduce total operating costs by eliminating unexpected downtime due to roller failure, and preventing costly belt breakage. Mulle devices were encased inside an epoxy cast along with generator components and energy storage to harvest power from the rotating environment inside the roller. Sensor hardware used include temperature monitoring, vibration monitoring and power. Wireless communication from inside the roller is possible because of the composite material roller produced by Narvik Composite which is both lighter and more reliable than an ordinary steel roller. Measurements from the sensor nodes are aggregated at gateway devices placed alongside the conveyor belt which relay the data to the cloud. Cloud services were provided by iGW.

Arrowhead Framework

Enable collaborative automation by networked embedded devices.

The Mulle is integrated into the Arrowhead framework for service discovery, orchestration and AAA (Authentication, Authorization, Accounting) functionality. The Arrowhead project aims to provide interoperability between vendors of IoT devices by providing a service oriented architecture and specifying the relevant parameters of the provided services. Eistec developers have integrated Arrowhead services into the Mulle platform and the Mulle is used in multiple of the Arrowhead demonstrator projects.

Read more: http://www.arrowhead.eu

Condition monitoring of mobile machinery

To demonstrate the Arrowhead framework the Mulle implements the Arrowhead core service consumers as well as application service producers. One of the demonstration implementations is condition monitoring of bearings on the wheel axles of a wheel loader. Eistec engineers have developed a battery powered wireless vibration and temperature sensor based around the Mulle. A legacy system adapter layer was developed as a software solution to provide a link between the Arrowhead services into the existing SKF Aptitude Observer condition monitoring and maintenance system. This project is part of the Arrowhead project.

More information: info@eistec.se

Monitoring rock bolts

Providing a monitoring system for mine tunnels

Rock bolts are used to reinforce the walls of mine tunnels to provide better stability and safety for people inside the mine. In this project, an instrumented rock bolt was developed for monitoring the strain on the bolt and provide the data to a higher level monitoring system which can use the data to provide information about the stability of tunnels and an early warning system for unstable rock.

Underground localization

Positioning people and machinery underground

Using new radio technology it is possible to measure the distance between two devices down to 0.1 m accuracy. This technology, together with other means of localization, such as computer vision, can be combined using sensor fusion to provide an accurate global position in an underground environment where there is no GPS reception or other navigation systems. Several systems were developed and integrated in a service-oriented manner to provide their localization data to an upper level system. The different data sources are combined to provide a complete view of the location of people and machinery inside a mine. This project is part of the Arrowhead project.