From an IoT business-to-business perspective, this research looks at emerging opportunities for industrial automation in enterprises, including the deployment of industrial IoT solutions (IoT), which include robotics, telematics, and smart machines, to automate many business processes in production environments. Connected sensors, devices and smart operations can transform businesses and enable new growth.A Opportunities for Azure Internet of Things (IOT) SolutionsA This content complements existing Azure IoT documentation with concepts and patterns to be taken into account when designing and developing IoT solutions.

IoT solutions use events, insights and actions to connect devices, things and cloud applications to reach end-to-end scenarios. Azure IoT solutions include events to generate insights, inform actions and improve business processes.

The Internet of Things (IoT) refers to intelligent networking of people, applications and devices with embedded sensors and data acquisition devices. It is a system of interconnected computers (mechanical and digital machines, objects, animals and humans) that provide unique identifiers (UIDs) and the ability to transmit data over a network without the need for human-to-human or human-computer interaction. The IoT connects billions of devices and it involves the use of billions of data points that need to be backed up.

IoT platforms have become the backbone of professional IoT deployments with more IoT devices, assets, data and related technologies, network connectivity solutions, architectural and infrastructure evolution and a strong need to connect and leverage IT to move more efficiently, interoperably and securely. Device management, data communications and cloud are obviously important applications, but edge capabilities and vertical capabilities for advanced security, analysis and visualization are also critical for IoT platforms, especially at the communication level and heterogeneous platforms. Important applications of IoT platforms are cost optimization for companies in the industrial and transport sector, remote monitoring of devices and vehicles, predictive maintenance of devices, real-time acquisition of sensor data for production analyses, ensuring safety and seamless tracking of freight shipments.

AWS IoT Core makes it easy to use AWS services such as Amazon Lambda, Amazon Kinesis, Amazon S3, Amazon Sagemaker, Amazon DynamoDB, Amazon CloudWatch, Amazon CloudTrail and Amazon QuickSight to develop Internet of Things (IoT) applications that collect, process, analyze and respond to data generated by connected devices without having to manage infrastructure. Cloud IoT provides managed services such as Cloud IoT Core and in combination with other services, the Cloud IoT Platform provides a complete solution for capturing, processing, analyzing and visualizing IoT data distributed across devices in real time to support improved operational efficiency. Azure IoT Suite – Platform from Microsoft consists of a set of services that allow users to interact with and receive data with their IoT devices, perform various operations on data such as multi-dimensional analysis, transformation and aggregation and visualize them in an enterprise-grade way.

Google Cloud brings together device management, scaling infrastructure and connectivity, as well as a wide range of storage and analytics products you can use to make the most of device-generated data. Azure IoT provides a variety of services and tools that enable: 1) to accelerate the creation of IoT solutions; 2) customize solution templates for common IoT scenarios; 3) extend intelligence to the cloud and your edge devices; 4) connect, monitor and control billions of IoT assets; 5) to build digital models of your physical space and assets; 6) study and gain insights from time series of IoT data; 7) build, connect and back up MCU-powered devices. Cumulocity IoT provides a certified software library that you can use to move your remote assets to the cloud.

Visualization and remote control: Cumulocity IoT visualizes your sensor data with its modern web interface. It uses HTTP REST, the most widely used interface technology today, and works with internet-connected devices from small embedded microcontrollers to desktop PCs. This exposure means that all its functions are available to you in different contexts, and it makes your own applications available for your own devices.

Google Cloud provides various ingestion services that depend on data, telemetry and operating information from devices and IoT infrastructure. AWS IoT Greengrass connects devices with AWS Lambda capabilities to run prediction-based machine learning models, keep device data in sync and communicate with other devices not connected to the Internet. It programms the I / O-Lter of the device data and transmits the necessary information to the cloud.

If you need to provide state and telemetry data to mobile and web apps you can store the processed and raw data in structured schematic databases such as DataStore, Firebase or Realtime Database or present IoT device data as domain and application objects. In many IoT applications, decisions are made about the location of the device in the physical environment to provide faster access to data. For example, some companies manufacture and distribute devices for the Internet of Things in order to obtain and sell users’ personal data.

Freertos helps solve this problem by providing a core operating system that runs on Edge devices and software libraries that make it easy to connect to the cloud and other Edge devices to collect data from those devices and IoT applications and take actions. The key features and capabilities of IoT platforms include connectivity as a service, network management, device management, data acquisition, process analysis and visualization, application support, integration and storage. You can use a set of APIs and one technology to create a complete solution for devices and applications on your own.

Manufacturing has to address the problem of selecting and implementing the right IoT solutions that meet business objectives, the multi-vendor ecosystem, the interoperability of IoT components from different vendors, the lack of skills required to configure, manage, deploy and integrate IoT solutions, the connectivity and management of thousands of devices, sceptical ROI, high acquisition costs, high upfront costs, continuous capital expenditure and operational (OPEX) for operations and processes, data, applications and device security, etc.

Clare Louise