Industrial Internet of Things (IIoT) is a network of industrial machines and sensors to make the industrial processes simple by applying and inheriting IoT functions. Reach our IoT expert panel team for novel industrial internet of things research proposal. In specific, it is designed to achieve industrial prognostic inspection, automation, remote data collection, and many other industrial-related activities. And, it is highly deployed and implemented in the industrial, logistics, manufacturing, and supply chain zones.
This page delivers the information of theoretical and practical research challenges in the field of Industrial Internet of Things!!!
IIoT system employ several innovative technologies like machine learning, deep learning, neural networks, big data, advanced analytics, artificial intelligence, M2M communication, and other methodologies. For instance, let’s take the example of manufacturing. Here, IIoT has the excessive ability for quality control, fault tolerance, green initiatives, supply chain trackability, and efficiency.
What is industry 4.0?
Industry 4.0 is an up-to-date scientific innovation in IoT which is considered to be a fourth industrial revolution. For instance, IIoT can be implemented to prevent the excess or shortage of stock. To monitor the inventory, it uses shelf-fitted sensors and weight balances to transmit current stock data to the storeroom management system. This system lets the storeroom executive screen inventory levels by getting actual stock visibility and control.
Until now, Industry 4.0, IIoT, and digital conversion are the most conversed research areas in manufacturing. However it is designated for industry, but it is adapted in other areas as well such as smart cities, smart homes, smart agriculture, etc. In the smart system, so many smart sensors are installed in the environment and it may vary based on the application requirements. Here, we have given you some sensor devices as an example.
Samples Devices used in IIoT
- Temperature Sensor
- Control Valve
- Proximity Sensor
- Protection Relays
- Pressure Sensor
- Vibration Sensor
- Motion Control
- Gas Detection Sensor
- Maintenance Diagnosis Sensor
- Flow and Torque Sensor
Though there are many forward-looking technologies are developing, the management of huge data from different sources is quite a difficult process in industrial sectors. So, one should be more concerned in IIoT data handling while framing the Industrial Internet of Things Research Proposal. Below, we have specified some key factors that make the data management process a major issue in IIoT.
Research Challenges in IIoT
- Messy Data
- Various Frequency
- Different Sizes of Data
- Multi-Sources of Data
- Massive Data Volumes
- Difficult Data Relationships
- And also many more
Due to the research challenges in IIoT, our technical resource teams are passionate to do their best in all the aspects of IIoT study. Also based on our current thorough study on this field, we come up with several new novel research IIoT ideas. As a result, we are unique from others to produce the creative Industrial Internet of Things Research Proposal. For your reference, we have given sample research problems in the followings,
Research Topics in IIoT
- IoT based Process Historians and Logic
- Network Infrastructure and Security Strategies and Control
- Safety Instrumented Systems (SIS) Engineering and Functions
- Human Error and Insider Threats in Personnel / Cybersecurity
- Human Machine Interface (HMI) / Operator Interface (OI) for IoT System
- General Network Elements and System Level Software: Consistency, Accessibility, and Veracity
- System / Data Backup Plan for Business Continuity and Disaster Recovery (BCDR)
- Sensed Data and Embedded Software / Devices: Obtainability, Dependability, Security, Serviceability, and Reliability
For your add-on benefit, let’s talk about the other significant research challenges facing today in the field of IIoT. Most importantly, this may help you to follow the right direction of your PhD study.
Research Ideas in IIoT
- Routing for Data Broadcast
- Application-Specific Design
- Priority has driven Dynamic Scheduling
- Varied Data Sensing and Sampling
- Data Reliability and Time Synchronization
- Energy-Efficient Information Scheduling
- Sensor Data Fusion and IoT Localized Processing
We hope our shared information assists you to create the best Industrial Internet of Things Research Proposal. Further, if you want more details on recent research innovations, then communicate with us. We will support you in all the phases of your research.
