Lecture 4: SMART Industry Flashcards

1
Q

What is a Programmable Logic Controller?

A
  • Ruggedised computer that can read sensor inputs, carry out logic operations and timing functions, and control power outputs to system components
  • Can be programmed by connection to a PC
  • used for both continuous control in process industries, and discrete manufacturing
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2
Q

What is a Supervisory Control and Data Acquisition?

A
  • Provides higher level of visibility and control than PLC’s
  • Collects data from lower level controllers and provides this to human supervisors via Human Machine Interfaces (HMIs)
  • Consists of a central supervisory computer, HMIs that allow humans to intervene in automated operations, PLC’s and other controller elements, and a communication network
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3
Q

What is a Distributed Control System?

A
  • Model for describing integration of enterprise software with factory automation software
  • Hierarchial so each layer only talks to adjacent layer

Layer:

0) Physical elements being controlled - machines, sensors, actuators
1) Local controllers - PLC’s etc.
2) Supervisory computers and HMI’s
3) Whole site supervision eg. Manufacturing Execution Systems
4/5) Strategic and business planning software such as Enterprise Resource Planning

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4
Q

What are the advantages and disadvantages of a hierarchial structure in a control system?

A

Advantages:
- Clear what happens at each level
- Mission critical data flows can’t be interfered by non-mission critical data
- Security (levels 0 to 3 can be protected by a firewall)

Disadvantages:
- Inflexible for smart industry
- No direct access to raw data at level 0

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5
Q

Why is a network with direct peer to peer communication between nodes ideal for smart industry?

A
  • Nodes are physical objects such as sensors and actuators or software services such as HMIs
  • Such a network is agile and flexible rather than traditional automation architectures
  • Easy to add new devices and services to system

However, data and access security can be harder to manage

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6
Q

What are some technologies that support smart industry?

A
  • Sensors and actuators (capable of being addressed by network protocols and transmitting data over a network)
  • Cloud computing (remote servers accessed over the internet, providing sophisticated data analysis, archiving and visibility services)
  • Embedded intelligence (microprocessors integrated into machines providing local decisions to be made without reference to a central controller, and for peer to peer communication - machines talking to each other)
  • Wireless connectivity (reduced the need to lay data cables for sensors and actuators, however still needs power)
  • Human Machine Interfaces
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7
Q

What can a sensor measure?

A

Temp, proximity, water quality, pressure, chemical concentration, imaging, light, humidity, etc.

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8
Q

What are the advantages of cloud computing?

A
  • User companies don’t need to own and maintain complex IT systems
  • Services can be scaled largely
  • Users can have access to the latest IT capabilities
  • Services provide benefit from economies of scale through serving many clients
  • Enables large amounts of data to be analysed into information (eg. Cement manufacturer analysed data to find efficiency improvements and reduced CO2 emissions by 200,000 tonnes per year)
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9
Q

What is embedded intelligence and what are the advantages?

A
  • Putting intelligence (ability to recognise current state and make decisions about actions) directly into industry machines
  • In some ways its the opposite of cloud computing as it is local instead of remote

Advantages:
- Fast response to changing conditions
- Immunity to network outages
- Can provide data streams to cloud services

Example: machine detecting overheating so reschedules work to avoid a shutdown

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10
Q

What is a Human Machine Interface?

A
  • They show key indicators of state of process in an easy to understand form
  • Operating staff use them to make minute to minute decisions on facility operation
  • Management use them to make longer term, strategic decisions

Wireless networks and mobile devices make HMIs available wherever the information is needed

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11
Q

What is the Internet of Things?

A

General systems that can send and receive data over the internet eg. Smart lights, smart doorbells, surveillance cameras, smart speakers, heating controls

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12
Q

What is the Industrial Internet of Things?

A
  • Industrial systems that can send and receive data over the internet
  • Must be robust and secure as they are mission critical and safety critical
  • Objective is to reduce human intervention so highest efficiency can be achieved
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13
Q

What are CyberPhysical Systems?

A
  • Industrial systems that can operate autonomously (make decisions and changes) - not always with the Internet
  • Consists of sensors and actuators which act in a self-organised and decentralised manner
  • Each production element knows its own skill, capability and position
  • Sensors determine current operating status and position, actuators carry out pre-planned operations or corrective actions, AI makes decisions based on local information and that shared from wider system.
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14
Q

What is Industry 4.0?

A

Overarching vision for future industry enabled by smart systems

1.0 was industrial revolution
2.0 was production lines
3.0 was computational and logic control
4.0 is intelligent, modular and flexible

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15
Q

What are the six core principles of Industry 4.0?

A

1) Interoperability - using internet to communicate between human processes and factories, uses IoT and IoS (cloud computing), everything has some level of control over everything else

2) Virtualisation - simulation of real scenarios to aid decision making, parameters can be tested before implementation

3) Decentralised decision making - CPS are empowered to make decisions of their own based on supplied info.

4) Real-Time Capability - data collected and analysed in real time, so status of plant is permanently tracked and issues can be addressed quickly

5) Service Orientation - factories can provide services both internally and externally to multiple companies

6) Modularity - modular manufacturing systems are easy to upgrade or replace with little interruption to production so its more flexible

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16
Q

What are the three dimensions that Industry 4.0 aims to work in?

A
  • Within a single stage of a product lifecycle
  • Along a whole product lifecycle
  • Horizontally between different value chains (use of waste as a raw material for a product in another factory)
17
Q

How can Smart Industry improve sustainability?

A
  • Efficient resource use (reducing use of resources for a given output is desirable economically and sustainably - machine learning analyses data from real time and historical, sensors plug gaps in the model, both are optimised to identify areas for improvement)
  • Efficient resource allocation (making the right products in the right quantity - smart industry services can be used in supply chain for automated monitoring of consumer demand and avoids overproduction) - eg. Digital technology asses energy demand for National Grid, enabling it to balance supply and demand in real time, reducing need for power station to be on standby, system monitors electrical supply and sends requests to thousands of digitally enabled assets to change power demand as required.
  • New business models (sensors communicating with producer’s systems means the function of the product is a selling point not just the product - product service system, eg. On street hire cars - reduces amount of cars made, eg. Rolls Royce intelligent engine - hundreds of sensors in engine pass data back which is used to assess engine condition, diagnose faults etc)
  • Product and process re-design
  • Inter-supply chain cooperation (one mans waste is another’s raw material - also called industrial symbiosis, eg. Kalundborg symbiosis - 14 companies in kalundborg, Denmark share water, energy and materials so bio methane generated by one is used for a refinery in another)
  • End of life processing (identify materials and component make-up, track use phase of products with embedded sensors, automate disassembly and material sorting, route materials for next use)
18
Q

What are the negative impacts of Smart Industry on Sustainability?

A
  • Energy consumption of servers (server farms need a lot of energy for cooling)
  • Production of electronic waste (WEEE cannot yet be properly treated at end of life)
  • Critical materials are in short supply or come from geopolitical conflict zones
  • Rebound effect (using less resources may lower price, meaning consumers have more cash to spend elsewhere - overall increase in environmental impact)
19
Q

What is Industrial Digitalisation?

A
  • Convergence of many different digital technologies to affect the way industry operates
  • Eg. Robotics, machine vision, cloud computing, IoT, cloud computing, AI, augmented reality, additive manufacturing - not individually but combined have an impact