Levaux IoT Solution was designed from the start to be an enterprise scale, secure, scalable and reliable IoT communication system that does not sacrifice speed. It was achieved by avoiding light weight communication protocols and messaging queues, created with a robust middleware using object-orientated remote procedure calls (RPC) architecture implemented in pure C++ from the ground up in conjunction with embedded hardware and optimised mesh network stack. This enabled the capability to build smart connected systems with the lowest latency.
Asynchronous bidirectional session managed connections over TCP and SSL/TLS.
Multi-threaded asynchronous communication chains with dynamic invocation dispatch and full exception handling.
Efficient binary protocols minimises bandwidth consumption allowing scalability.
Authenticated connections together with encryption of binary encoded data for ultimate security.
Inbuilt fault tolerance using replication and load balancing of components in the distributed grid.
Smart data persistence down the IoT communication chain together with an easy but secure firewall traversal mechanism.
Deploy cloud connected sensors and discover real actionable data about your assets. Knowledge is power and applied knowledge from predictive analytics is a competitive advantage.
Productivity on the industrial internet comes from knowledge that can be achieved using instrumentation. Data acquisition through smart objects connected to physical sensors and devices provides the rich information required to make operational decisions. Once data from many smart objects is aggregated into a cloud database then instrumentation can be as simple as individual presentation of a state or massive collaborative distributed visualisation of multiple data points.
Instrumentation gives insight into the state of distributed smart objects however the ability to react to this information and control devices or the surrounding environment in a meaningful way is the real power of smart objects. Highly secure network communications centralised in the cloud provides real time control and direct interaction of any number of embedded smart objects regardless of their geographical location across an organisations assets.
Direct control of smart objects in the cloud requires human-machine interaction but automation of smart objects with intelligent process control is the catalyst for productivity increases. The computational power of microprocessor enabled smart objects provides advanced signal processing capabilities to remove any need for a human in the process loop. The event driven doctrines defining smart object behaviour can reside in the cloud or even at the object itself for lowest latency machine to machine communication.
A collection of smart objects forms a dense mesh network. Tracking people or objects in this dense mesh can be achieved in two ways. Static or dynamically moving wireless smart objects that constitute the network can periodically report their geographical position into the cloud for graphically tracking movement. Alternatively the mesh network can track the movement of people or objects as they pass through the mesh by means of near field interaction of mesh nodes.
Smart objects are capable of providing instrumentation on the their surrounding environment and controlling devices locally however the true power comes when they start communicating with other smart objects, the internet and people. Smart objects have low powered transceivers and by forming node mesh networks they can communicate with each other over great distances through multi-hop signal capability. The smart object nodes form ad hoc wireless personal area networks (WPAN) makes for very flexible deployments with adaptable signal routing for self healing network communications. The Levaux products that constitute the WPAN mesh are the Wireless Node and Gateway.
The value of your industrial internet or network of smart objects is only as good as the communication standard that connects them all together. This communication needs to be robust and reliable with a high quality of service, secure from man in the middle attacks, easily scalable without degradation of performance and fast for real time control of smarts objects that can potentially be extremely remote.
Smart objects are typically deployed across an organisation whose assets are not geographically co-located. Assets in remote locations require a unique backhaul communication solutions to connect the node mesh networks to the cloud. The Levaux grid communication system with its state of the art middleware software makes the backhaul transport layer transparent when achieving a distributed deployment of any combination of high bandwidth wifi mesh network and low bandwidth node mesh networks.
The distributed deployment topology demonstrated distributed collections of node mesh networks under control using grid computing techniques. The Levaux wireless nodes feature near field communication (NFC) technology which changes the method upon which people can interface with the grid network. Mobile devices using cellular networks or even wifi networks interact with the cloud in a traditional way to control nodes located anywhere in the network. NFC however gives this same capacity directly with the nodes themselves. This direct alternative is good for instrumentation and control or even reducing the cost of deployment and tuning when commissioning node mesh networks. Also NFC importantly contributes the mechanism for location tracking and security within a mesh.