The second industrial revolution – which lasted from 1870 until about 1970 – saw the arrival of mass production using electrical power. In this environment, HMIs comprised display lamps, analogue panel meters, switches, and pushbuttons. However, the advent of the third industrial revolution, from about 1970 onwards, meant that production became automated. Operators had to understand and react to the status of large numbers of plant items, and how they were interacting with one another in real time.
This meant that representing each plant variable with discrete devices like switches and lamps was no longer practical, as the numbers involved would quickly exceed both the control panel’s and the operator’s capacity. In any case, the amount of information provided was severely limited, and, above all, the control panel design was totally inflexible.
The response was to marshal all the plant sensor outputs onto a CRT or, as they became available, a flat panel display. Operators could respond to displayed plant status using a keyboard and mouse, or, more recently, a touch screen. Note that this did not entirely eliminate discrete input and output (I/O) components, which in fact are still have a role today alongside the more advanced HMI solutions.
Yet digitalisation, and the growth of Industry 4.0 since around 2014, meant that simple flat panel solutions in turn became inadequate. For various reasons which we will explore, Industry 4.0 environments generate vast amounts of data, which have to be presented to operators in readily-assimilated formats. They have to be given information rather than data. Operators also have to respond in more nuanced and sophisticated ways.
This all means that although most HMIs are still based on flat panel displays, their hardware, software and processing power are vastly different to those of, say, 20 years ago. And flat panel systems are no longer the whole story; some applications are now benefitting from Augmented Reality (AR) and Virtual Reality (VR) technologies.
Accordingly, we will now look at the nature and volume of data generated by Industry 4.0 installations, why this presents a challenge to HMI design, and the software and hardware solutions now available to address this challenge. We also review the more recent trends related to AR and VR, and their impact on HMI design.
Industry 4.0 and its high data volumes
The term Industry 4.0 was first introduced in 2011 by German scientists to promote the advances in AI and manufacturing automation over earlier technologies . Also referred to as the fourth Industrial Revolution, 4IR, or smart manufacturing, it builds on the inventions of the Third Industrial Revolution—or digital revolution—which brought us computers, more functional electronics, the Internet, and much more. Industry 4.0 brings these developments beyond the previous realm of possibility with several foundational types of disruptive technologies that can be applied all along the value chain :
Connectivity, data, and computational power: Cloud technology, the Industrial Internet of Things (IIoT), blockchain, smart grids, edge devices.
Autonomous systems work on specific tasks autonomously without human interaction by leveraging AI algorithms. In manufacturing, autonomous systems can collect information from the surrounding environment, adapt, and make data-driven decisions without the intervention of a human user.
Advanced robotics are systems that combine robots’ hardware sophistication with smart sensors (e.g., ultrasound, light sensors, touch sensors, etc.) which makes them easier to train to perform repetitive and non-repetitive tasks in a manufacturing environment.
Manufacturing analytics: For analysing data collected from manufacturing processes and making data-driven decisions about products, processes, inventories and assets, as well as inferring insights about customers’ needs and market trends. Advanced analytics in predictive maintenance systems could reduce equipment downtime by 50% and increase production by 20% .
Human–machine interaction: Virtual reality (VR) and augmented reality (AR), robotics and automation, autonomous guided vehicles, simulations such as digital twins.
Advanced engineering: Additive manufacturing (such as 3-D printing), renewable energy, nanoparticles.
Cybersecurity solutions aim to protect business data including manufacturing processes, inventory, assets, costs, and client data.
The goal of Industry 4.0 is to improve production, reduce costs, and optimise processes by creating smart manufacturing machines and systems that are connected, automated, and analysed thoroughly.
Impact of industry 4.0 data on HMIs
If we consider these factors we can see that an Industry 4.0 HMI terminal – and its operator – will be subjected to much higher levels of incoming data than a traditional distributed control system (DCS), supervisory control and acquisition system (SCADA), or programmable logic controller (PLC) HMI terminal would be.
Firstly, the amount of equipment of various types and diverse applications that must now be managed is much greater. Secondly, the volume of data generated by each machine may be much higher. For example, a machine that once just fed back real time data about its throughput and current operating conditions may now provide further status data related to, say, motor temperature and vibration to inform predictive maintenance analytics.
HMI and embedded PC manufacturer Advantech sees connectivity and Big Data as key issues for Industry 4.0 HMI design: “In intelligent manufacturing, more control functions are required to process higher data complexity and larger data quantities. HMIs have to be capable of a new generation of communication protocols to ensure the stability and the immediacy of data transmission between PLCs.
“Furthermore, big data analysis is a valued asset when developing a digital transformation strategy, so data acquisition is key to manufacturing and factory operations. HMIs are also required to provide powerful connectivity with PCs or sensors for data transmission through Ethernet or Wi-Fi, but also to support monitoring programs and data collection systems like SCADA.”
How standardisation is helping with Industry 4.0 HMI design
In traditional process or production control systems, HMIs have tended to use a broad spectrum of colours, with unnecessary graphics, visual distractions, and lack of overall situational awareness. Such displays can suffer from inconsistent navigation, presenting data that is difficult to understand, improper depiction of alarms, and a lack of display methodology .
This can lead to poor operating procedures, such as running by the alarms, where an operator is only responding to alarms without understanding the root cause of the alarm conditions.
In other cases, a poorly designed HMI will result in avoidable upsets and increase the likelihood of less than the optimum response to an abnormal situation.
The ISA-101 HMI design standard as a solution: In 2003, the International Society of Automation, or ISA, tasked a group of end-users, operators, and engineers to start working on a standard .
In 2015, twelve years later, they published the ISA-101 HMI Design Standard, titled “Human Machine Interfaces for Process Automation Systems”. This is a set of guidelines, principles, and philosophies for developing graphics on a process HMI. This standard is meant to create a more functional, easy to understand, and information-driven operator interface.
Key ways in which ISA-101 seeks to define a high-performance HMI include :
Proper use of colour: Instead of intense and colourful graphics, the High-Performance HMI is developed in grayscale, with colour intended to be the attention-getter. In a grayscale screen, the use of colour is meant to indicate an abnormal situation very quickly. It has been shown that the new use of colour alone has resulted in a 48% improvement in detecting abnormal situations before alarms occur.
A pump will show as white when it’s running, and dark grey when stopped. It will be shown in medium grey if it is not sending feedback.
Use of information over data: Many HMIs will have dozens or more data points visible on the screen, but nothing for an operator to determine what that data means.
A pressure indicator could read 900 psi, but is that a good thing or a bad thing? By utilising an indicator of normal range with a process variable, the operator can make a quick decision to take action to correct a situation that is trending away from normal.
Trend display graphs can be superimposed onto a tank’s display image. This gives the operator an immediate overview of historical data, allowing them to make any necessary process adjustments before a product runs out of specification or a tank overflows.
A very important concept in High-Performance HMI is keeping the screen simple and uncluttered. A simple depiction of a vessel with a valve and pump is all that is necessary.
The standard also defines a display hierarchy. Creating a hierarchical system of displays gives the operators overall situational awareness, and the ability to drill down to very specific data points when necessary.
The four hierarchy levels are:
- Overall situational awareness
- More detailed view
- Equipment details
- Diagnostics
HMI hardware
Currently, a mainstream HMI terminal incudes three core hardware functions; an input device or devices, built-in control electronics or intelligence, and an output device or devices.
Input devices Apart from a keyboard and mouse, input types include touch screen, gesture recognition, voice activation, and buttons.
Touch screens: HMI touch screen type choices depend on the users’ requirements. If the application requires precise and accurate multi-touch capabilities such as zoom, drag, swipe, and pinch touchscreen gestures, projective capacitive (P-CAP) control touch screen types are ideal.
Although capacitive touchscreens are more sensitive and responsive than resistive touchscreens, they require direct contact with a conductive object, such as a finger or a special stylus. In industrial environments with operators needing to wear gloves, resistive touch screen (RTS) types perform better, while being reliable and cost-effective.
Voice activated interfaces: Voice-activated interfaces, also known as voice recognition systems, enable users to interact with HMI systems using spoken commands. These interfaces can be highly advantageous in situations where the user is unable to interact with traditional input devices like keyboards, mice, or touchscreens. Voice-activated interfaces have become more popular in recent years due to advancements in natural language processing and machine learning algorithms. These greatly improved the accuracy and responsiveness of speech recognition systems .
Gesture-based interfaces allow users to interact with HMI systems through physical movements and gestures. These interfaces have gained popularity due to their intuitive nature and potential to provide a more immersive and natural user experience. Gesture recognition systems typically rely on various sensors and cameras to track and interpret user movements, enabling HMI systems to respond accordingly .
Physical buttons were used as input devices long before the term ‘HMI’ was coined – and they are still important today for some situations. They provide great tactile feedback, which is particularly important to those with visual impairments.
Physical buttons are also helpful for eliminating issues encountered when using touchscreen HMIs: namely difficulty distinguishing graphical onscreen changes under sunlight, shifting, and unclear targets, and the need to look at a screen when performing important tasks .