Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things (IoT) and cloud computing. Industry 4.0 creates what has been called a “smart factory”. In addition, the capabilities of Industry 4.0 lead to many ‘’smart’’ solutions including smart grid, smart buildings, smart cities and much more.
The cyber-physical system components include intelligent control systems and embedded software systems and have a fundamental place in the evolution of manufacturing and industry.
Technologies related to Industry 4.0 include the Internet of Things (IoT), Smart Sensors, Edge Computing, Advanced Robotics, Big Data Analytics, Augmented Reality and Cloud Computing.
The Industrial Internet of Things (IoT) platform contains integrated software capabilities to improve asset management decision making and operational visibility and control for infrastructure in multiple industries.
The Industrial IoT platform comprises technology functions including device management, software tools and technologies such as communications protocols and APIs used to integrate the ecosystem elements of the platform and create an end-to-end IoT solution. In addition, the platform encompasses the key capabilities of analytics, application enablement and management and security.
Chipright has delivered design services within the Industrial domain by utilizing a proven pool of highly skilled senior level engineering resources. Chipright provides engineers and teams that are expert in their fields on-site or remotely. We have the capacity to supply the market with the right skill at the right price in the right location at the right time.
New clients often ask us about projects we have worked on and implemented over time in the Industrial market space. They also ask us about the resource pool we use on these projects. We respect the curiosity but also respect our clients NDA’s. Thus, whilst we are restricted from conveying specific information about the R&D technological projects we continually work on, we can provide a brief snapshot of some of the work without disclosing our customers detailed project information here.
Case Study – Validation of a medical sensor design to provide real time data analytics
- Review of the low level sensor specification
- Review of the high level functionality of the industrial application specification
- Ability to measure items including temperature within the human body
- Ability to communicate real time data from the sensor to a software application to provide real time analytics
- Sensor lifetime within the human body to be a max of 48 hours
- Validation environment required a specification to be written
- High level system operating features
- Low level system requirements
- Bring up the communication of the sensor in a lab environment
- C Based solution operating on a Linux operating environment
- Validation of the data being received from the sensor to the software system
- De-coupling of the RAW sensor data received
- Extracted the key data and displayed it on a monitor attached to the PCB
- Prepared the software operating system such that the end client could utilize it – as per their original specification requirements