4.0

ARCHITECTURE

Designed to meet the digital innovation needs of small and medium-sized enterprises

KAINET is a complete platform able to improve all activities within the factory, reduce costs and increase production and is perfectly in compliance with the fiscal benefits of “Piano Transizione” 4.0.

KAINET CLOUD

Remote Dashboard

Data Sync

Big Data Storage

KAINET CORE PLATFORM

Local Dashboard		Big Data Storage
Administration	Collaboration
Process Manager / Rules / ML
Asset Manager

KAINET MODULES

MES	Maintenance
Digital Plant	Planner
Analytics	...

ERP

WMS

CRM

...

DEVICE CONNECTION

Hub/Gateway

HTTPS, MQTT, OPC-UA, Modbus, CoAP, SigFox, LoRa, BACnet, WebSocket, …

IOT DEVICES

Machine IoT

PLC, CNC, HMI, SCADA, …

Human IoT

Smart Devices

Custom Development or System Integration

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Discover the strengths that make KAINET the perfect solution for your Industrial IoT projects.

Industry Check-up

Free advice from a KAINET expert

POC - Proof of Concept

Prototype realization within your company

Start of production

Implementation of the solution calibrated on prototype experience

IoT DEVICES

IoT Devices represent the infrastructural part present or to be implemented in every company, able to digitally interconnect on the network. KAINET identifies two types of devices:

Thanks to retrofitting activities, KAINET can also be implemented on production lines where there are machines without sensors and data interconnection systems.

Retrofitting of machinery

It consists of the addition of IoT sensors to old machines to:

KAINET CORE PLATFORM

Represents the main element of the platform and is composed of the following modules:

KAINET MODULES

To meet the digital innovation needs of manufacturing companies, KAINET offers various modules, which can also be activated separately:

KAINET CLOUD

It is the decentralized cloud component that allows you to receive data in aggregate form from local installations of KAINET or from individual IoT sensors distributed throughout the territory, in order to perform analysis and monitoring remotely from any device, thanks to two main modules: