You're reading from Hands-On Industrial Internet of Things
Chapter 1: Introduction to Industrial IoT
- The Walmart mandate failed mainly due to the lack of maturity of the technologies.
- The main enabling factors for the IoT are as follows:
- New, mature sensors with more capabilities and a high performance at a low cost.
- New networks and wireless connectivity (such as PAN and LAN) interconnecting the sensors and devices to optimize the bandwidth, power consumption, latency, and range.
- New, powerful, and cheap processors and microprocessors coming from the mobile devices world.
- Real-time operating systems, leading to a more sophisticated and powerful integrated development platform at the maker's disposal.
- Virtualization technology, which divides naturally into the data center, big data, and the cloud.
- The diffusion of mobile devices.
- Big data, the cloud, and data analytics.
- An object connected to the cloud, which gives it further...
Chapter 2: Understanding the Industrial Process and Devices
- The actuator
- A device is defined as an independent physical entity able to implement one or more functionalities
- An event is an occurrence of a specific condition, such as the reaching of a definite temperature
- A process characterized by processing cycles based on single parts or individual units of a product
- There are six levels in the canonical CIM pyramid representation
- SCADA applications are at the third level of the canonical CIM pyramid representation
- Between 100 and 500 milliseconds
- Through OPC, the PLC/DCS can expose tags, time-series, alarms, events and SOEs to any system implementing the OPC interfaces
- Store and forward is a mechanism to guarantee data transfer along the communication channel in case of poor, intermittent, or overloaded connectivity
Chapter 3: Industrial Data Flow and Devices
- The desired value for a specific process variable
- The maximum error that the sensor can make in a measurement operation
- 0.152 mV
- Microcontroller
- Functional Block Diagram, Sequential Functional Chart, and Ladder Diagram
- When the production process is continuous and the product value is high
- Polling happens on a regular basis, while unsolicited happens when changes are made
- 1, 2, and 7
- Between MES and PLC
- The asset model is the conceptual model of the physical or logical assets that the company uses to perform its business
Chapter 4: Implementing the Industrial IoT Data Flow
- OPC Classic uses COM/DCOM, while OPC UA is platform-independent
- Remote Procedure Call
- OPC abstracts the connected device, providing standard and common interfaces to query its data
- If the security mode is Sign, the OpenSecureChannel is sent using the PrivateKey of the client Application Instance Certificate as a signature
- A session is a logical connection between a client and a server
- The I-IoT Edge has to manage more signals than the IoT Edge
- The best choice depends on the specific plant environment and the requirements of the specific use case
- The OPC Proxy can act as an OPC concentrator, gathering the data from several OPC Classic or UA servers and making it available through a unique endpoint without the need to cross DCOM traffic between network boundaries
- Because we often have to deal with old devices, for which OPC...
Chapter 5: Applying Cybersecurity
- People, technology, and operating methods
- TCP session modelling
- Being able to create and deploy the devices acting as dual-homes in a specific network
- Building logical networks that share the same physical infrastructure
- Allowing DCOM traffic to cross the firewall
- Tunneling the DCOM traffic through TCP and putting the external OPC Proxy in a DMZ
- Using the OPC-UA security model
Chapter 6: Performing an Exercise Based on Industrial Protocols and Standards
- UA
- Connect with SIGNANDENCRYPT authentication
Chapter 7: Developing Industrial IoT and Architecture
- Microservices are small services that can be deployed separately
- True
- A repository that stores information about assets and measures
Chapter 8: Implementing a Custom Industrial IoT Platform
- Performance and scalability
- In hot-path analytics, data is processed before storage
- It has a specific API to interpolate data and aggregate data
Chapter 9: Understanding Industrial OEM Platforms
- Predix timeseries
- Intel IoT
Chapter 10: Implementing a Cloud Industrial IoT Solution with AWS
- Lambda functions
- AWS IoT Core
- IoT Analytics
Chapter 11: Implementing a Cloud Industrial IoT Solution with Google Cloud
- GCP Functions
- GCP IOT Core
- GCP Dataflow
Chapter 12: Performing a Practical Industrial IoT Solution with Azure
- Time Series Insights
- Azure Data Lake
- Azure Analytics Stream
Chapter 13: Understanding Diagnostics, Maintenance, and Predictive Analytics
- Simple threshold
- The prediction of the remaining life of a component
- Explorative Data Analysis
- An open framework in CBM systems
Chapter 14: Implementing a Digital Twin - Advanced Analytics
- LSTNN
- A digital representation of a piece of equipment
- A physics-based model is based on design knowledge, while a data-driven model is driven by data
Chapter 15: Deploying Analytics on an IoT Platform
- A general-purpose interactive IDE for Python and other languages
- Prepare the data, build the model, (train the model, test the model), deploy the model, monitor the model
- To build the model as a web application on a containerized application
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Hands-On Industrial Internet of ThingsPublished in: Nov 2018Publisher: PacktISBN-13: 9781789537222
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