There are many different technologies to consider that are involved in deploying and operating IoT. Some of the core areas to consider include:
- IoT Access: Wireless (mobile and fixed) and wired methods for communicating from the point of data capture, typically as a sensor deployed in the field
- IoT Devices: A wide range of electronics including sensors and actuators, communications modules, gateways, and more
- IoT Computing: Methods for dealing with IoT computational requirements including centralized cloud computing as well as distributed methods such as Mobile Edge Computing (MEC)
- IoT Data: This includes technologies and solutions in support of managing structured and unstructured IoT data and deriving insights and information
- IoT Infrastructure: Includes IoT Platforms, Hardware, Software, Middleware, and IoT as a Service
- IoT Operations Management: This includes many considerations such as provisioning and administrating IoT networks and devices, securing IoT networks and data, IoT data processing and intelligent decision systems, and more
- IoT Privacy and Security: Includes privacy and security technologies and solutions in support of centralized and distributed infrastructure and data
- IoT and Wireless: Includes cellular and non-cellular WAN, local area and personal area wireless
Mind Commerce IoT reports also cover specific ICT technology integration areas including:
- ERP in IoT: Includes IoT enabled ERP solutions to connect people, processes, data, and things
- Geo IoT: Includes presence and location along with IoT technologies for advanced apps and services
- Industrial IoT (IIoT): Includes IoT in manufacturing, Industry 4.0, 3D printing, robotics, teleoperation, and more
- IoT Chipsets: Includes advances in semiconductor industry in support of IoT
- IoT and Contextual Computing: Includes convergence of IoT with computing technologies
- IoT Operating Systems (OS): Includes real-time operating systems (RTOS) as a critical component to build comprehensive embedded systems for IoT solutions
- Network Function Virtualization in IoT: Includes virtualized infrastructure in support of IoT
COMPELLING IOT TECHNOLOGIES AND SOLUTIONS
VIRTUAL TWIN TECHNOLOGY
Virtual twin technology represents software that replicates physical machines enabling remote control and operation.
Virtual twinning enables a cyber object to replicate a real thing in both form and function, allowing control of real things (e.g. things in the real world such as a piece of equipment) by manipulating virtual objects in a software-constructed world.
The three primary scenarios for virtual twin technology include:
- IoT Virtual-to-Real (V2R): Scenario in which virtual objects that can be provisioned and administered to interface with real objects, which will be necessary for many purposes, including monitoring and control.
- IoT Real-to-Virtual (R2V): Scenario in which real-objects provide feedback, alerts, and even control of virtual objects (software programs via Software Defined Networks) and platforms (hardware and software put in place to orchestrate IoT networks and assets).
- IoT Virtual-to-Virtual (V2V): Scenario in which virtual objects are involved in simulation and testing for IoT networks, including end-nodes and assets. IoT is new, and potentially dangerous (e.g. control and security issues), necessitating platforms for IoT V2V.
The above scenarios will be employed singularly and in combination across different industry verticals in accordance with their overall IoT operational readiness as well as physical-to-cyber integration on a product-by-product and/or service-by-service basis.
IoT enabled virtual twin technology will facilitate dramatic changes in a wide range of consumer, enterprise, and industrial products and services. Impacted areas cover a wide range including everything from marketing and advertising to operations and product lifecycle management.
Digital twin solutions can be leveraged for many purposes ranging from design and simulations for production to observation and control in an operational environment. Digital twin systems also rely upon Artificial Intelligence (AI) for machine-based learning, analytics, and other AI based, data oriented processes.
Accordingly, digital twin solutions are a good example of the power of the Artificial Intelligence of Things (AIoT) as they leverage the convergence of AI and IoT. The AIoT market has the potential to dramatically accelerate the benefits of digital transformation for consumer, enterprise, industrial, and government market segments.
Mind Commerce IoT reports covering virtual twin technology include:
- Internet of Things (IoT) Digital Twinning: Market Outlook for IoT enabled Physical to Virtual Mapping and Management
- Next Generation Industrial Marketplace: Teleoperation, Connected Manufacturing, and Digital Twin Solutions
- Physical and Cyber Industrial Convergence: AI, Cloud Robotics, Industrial IoT, and Virtual Twinning
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