Industrial Automation

Industry 4.0

Industry 4.0

Gadgeon can be the partner for Industry 4.0 initiatives like digitization of product and service offerings using SCADA based process automation, Industrial Internet of Things (IIoT), and Cloud and Cognitive computing. Industrial leaders are digitizing essential functions within their internal vertical operations processes, as well as with their horizontal partners along the value chain.

Gadgeon can add value in developing solutions that can extract data from factory floors for real-time analysis which can enhance overall production and efficiency. Gadgeon can architect and develop complete systems for IIoT, including the end-node device, Gateway and the application/ business logic in the cloud along with companion mobile App. As a next step, we are also involved in bringing the cloud closer to the end devices using the open fog computational model.

Industrial Automation

  • Modbus RTU, Modbus TCP/IP
  • Industrial Ethernet/IP, BACNET
  • CAN, CANOpen
  • RS485, ZigBee
  • HART,Wireless HART
  • OpenADR for Smart Grid
  • MDB for vending machines
  • DNP3 for substation automation

Embedded Software

  • Real time monitoring of factory using sensors and machine sourced information
  • Experience in ARM Cortex Mx, MSP430, PIC, NXP, Rabbit, TI, Freescale
  • RTOS integration (FreeRTOS, Sys/Bios, MQX, CoOS)
  • Lightweight IP stack
  • Compression and encryption library customization

Cloud Integration

  • Cloud Readiness assessment & Preparation:
  • Reengineer IT Applications & IT skills towards Cloud nativity
  • Integration of data from multiple factories to provide a high level view
  • Device Gateway - Azure IoT Hub, AWS IoT, IBM Watson IoT
  • Gateway Protocols - MQTT, AMQP, Websocket, HTTP/REST
  • Azure Power BI, AWS QuickSight, Azure and AWS ML
  • API Gateway - Azure API Management, AWS API Gateway, Google Cloud End Points, IBM API Connect

Orchestration & Analytics

  • Integration of Business process management system, Business rule management system, Complex Event Processing and Business activity monitoring
  • Predictive Analytics using statistical algorithms and machine learning techniques on their existing data to predict the likelihood of a future outcome based on historical data

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