Fire Service College introduces AI-powered immersive training space

New AI-powered skills lab supports firefighter training at Fire Service College

Capita’s Fire Service College (FSC) has launched its Immersive Skills Lab, a custom-built training facility designed to enhance firefighter skills development through practical and collaborative methods.

As reported by Capita’s Fire Service College, the lab integrates artificial intelligence to simulate realistic fire scenarios in a controlled, safe environment.

The College said this approach aims to minimise risks associated with live fire training, such as safety concerns and environmental impact.

Traditional live incident training remains a core element of the College’s curriculum, with the new facility complementing these practices.

Clair Mowbray, director at the FSC, said: “The opening of our new Immersive Skills Lab will enhance digital capabilities to ensure that learning and training remains world-leading at the College.”

Leveraging technology to improve firefighter preparedness

The Immersive Skills Lab utilises advanced AI technology to replicate a variety of fire scenarios, designed to enable firefighters to refine their response techniques without real-world consequences.

According to the College, the facility supports all levels of personnel, from junior ranks to Chief Fire Officers, and extends its training capabilities to wider emergency services.

David Hook CBE, managing director for Capita Defence and National Preparedness, said: “The construction of this state-of-the-art Immersive Skills Lab will ensure that firefighters gain experience that better prepares them to respond to unpredictable challenges in real-world scenarios.”

Capita’s commitment to resilience and preparedness

The FSC’s 300-acre site in Moreton-in-Marsh has been a prominent training hub for firefighters and first responders for five decades.

Capita’s long-term strategy for the site includes expanding its focus to support resilience frameworks and address civil preparedness needs.

Capita highlighted its integration of technology within its Defence and National Preparedness businesses, which aligns with the use of virtual reality in defence contracts to enhance training experiences.

The lab forms part of Capita’s broader efforts to merge technology with processes to improve outcomes for clients.

Royal inauguration of the Immersive Skills Lab

The Immersive Skills Lab was officially opened by HRH Princess Anne, continuing the FSC’s tradition of royal engagements.

This tradition began in 1974 when the late Queen Elizabeth II inaugurated the College.

Speaking at the event, FSC representatives acknowledged the lab as a milestone in their mission to deliver cutting-edge training and support innovation in the sector.

Capita’s Fire Service College unveils AI-driven Immersive Skills Lab: Summary

Capita’s Fire Service College (FSC) has opened the Immersive Skills Lab, a training facility that uses artificial intelligence to simulate fire scenarios.

The lab allows firefighters to enhance their skills in a safe, controlled environment.

Traditional live fire training remains a cornerstone of the FSC’s programme, but the lab adds a new dimension by addressing safety and environmental concerns.

The FSC’s site in Moreton-in-Marsh has served as a UK training hub for firefighters and first responders for 50 years.

HRH Princess Anne officially opened the facility, which aligns with Capita’s strategy of integrating technology with training processes.

FSC director Clair Mowbray and Capita’s David Hook CBE highlighted the lab’s potential to better prepare firefighters for complex emergency situations.

Paul Speight details the potential of VR, AI and robotics in evolving the training and responsibilities of emergency response personnel

By Fire Service Expert Paul Speight

Let me start by posing a question on the future of training, manufacturing, and the movement of vehicles, planes, ships, and trains.

Have you seen either of the following; the 1984 James Cameron science fiction film, The Terminator, or the 2004 Jeff Vintar and Akiva Goldsman science fiction film, I-Robot?

Both are great films (well I think so) but the writer’s and producer’s minds are thinking so far into the future, a future that back then was only science fiction.

Now jump forward thirty to forty years and their ideas and imagination are starting to come true, the use of robotics in the manufacturing industries has been happening for years now.

Humanoid robots that can conduct pre-programmed tasks are growing and evolving very quickly, and one of the next steps is when artificial intelligence gives the robots the ability to learn for themselves.

This leads me to the question of how emerging technology can play a massive role in the immediate future of training, but possibly more important in the long term how we deal with fires, and what roles firefighters will have that are different from now?

Virtual reality training is the gateway to a future where immersive experiences redefine the way we learn and grow.

Virtual reality is a non-complicated versatile way to conveniently immerse yourself into the world of numerous virtual training possibilities.

The use of all this emerging technology is already happening to significant effect here in the UK, and this journey is gathering pace and, will change the way we perceive what training will look like, and how, it’s delivered.

Robots are machines that at this time do not have creativity or imagination, but one day AI may prove to be the solution.

Over the next 10 years, artificial intelligence will become increasingly sophisticated and complex.

Technical advancements in this field will focus on creating general intelligence that rivals or surpasses human capabilities.

Critical thinking is a skill that will take a long time for artificial intelligence to replace.

Even though machines are excellent at evaluating data, they lack the human ability for critical thought.

Already AI can do things exponentially faster than humans.

It can also perform data-related tasks that are impossible for the human brain to perform.

A quote by Stephen Hawking: “Unless we learn how to prepare for, and avoid the potential risks, AI could be the worst event in the history of our civilization”?

Allowing training to take place in a safe sterile contamination-free environment, correcting mistakes as they happen, training can be re-run repeatedly until the process and procedure become embedded, and any processes are committed to memory, and any movements are producing muscle memory.

This style of training is environmentally friendly, hazard-free, and eliminates the chance of accidents.

About the IFSJ Influencer

Paul served 33 years in the UK Fire Service, before joining the teaching staff at the Fire Service College.

He has experience and knowledge combined with a passion for integrating technology into firefighter training and safety.

He introduced the use of emerging technologies virtual reality, augmented reality, and artificial intelligence to the UK fire services.

Having spoken on this subject in many countries Paul is regarded as a SME.

IFSJ Influencers Edition 2024

The 2024 Influencers Special Edition of International Fire and Safety Journal is a collection of some of the most influential voices across the fire and safety industry, representing a collective following of 4.2 million.

Together, they provide a comprehensive overview of the latest developments, challenges, and forward-looking insights shaping the global fire and safety sector.

Read all 30 influencer articles in the digital magazine now.

This article was originally published in the December 2024 issue of International Fire & Safety Journal. To read your FREE digital copy, click here.

Data driven solutions for resilience: Lt. Colonel Dr. Essa Almutawa explains how AI and data analytics are redefining fire safety strategies

By Lt. Colonel Dr. Essa Almutawa, Director of the Department of Monitoring and Inspection at Dubai Civil Defense (DCD)

The fire and safety industry stands at the precipice of technological revolution, where advancements in artificial intelligence (AI) and data analytics offer unprecedented opportunities to enhance our emergency response capabilities.

My focus in the coming year is to further integrate these technologies to improve safety and efficiency in fire prevention and response.

In recent years, we’ve witnessed significant shifts in the nature of fire hazards, driven by urbanization, climate change, and evolving industrial practices.

These shifts necessitate a transformation in how we prepare for and respond to fire emergencies.

As Chief AI Officer at the General Directorate of Dubai Civil Defense, my experiences have solidified my belief that AI and machine learning are not merely supplementary tools but are central to the next generation of fire safety strategies.

Current challenges

One of the main challenges we face in the fire safety domain is the rapid detection and accurate prediction of fire outbreaks.

Traditional methods, while effective, often fall short in dealing with complex high-risk scenarios that are becoming more common in dense urban settings.

To address this, we are leveraging AI to develop predictive models that analyze vast amounts of data—from weather patterns to urban density maps—to pinpoint potential fire risks with remarkable precision.

Regional threats and emerging technologies

In the Middle East, the combination of high temperatures and dense urban environments presents unique challenges.

Our response involves enhancing community awareness through AI-driven simulations and virtual reality training modules.

These programs are designed to educate the public on fire safety practices and facilitate more effective evacuations during emergencies.

Looking ahead, the integration of Internet of Things (IoT) devices in residential and commercial buildings promises a transformative shift in fire safety.

Moreover, the potential for AI to integrate with smart city infrastructures offers a holistic approach to safety.

By embedding AI into the urban fabric, we can not only manage fire risks more efficiently but also enhance overall emergency preparedness, creating safer, more resilient communities.

As we transition into 2025, our goal is not just to respond to fire emergencies but to anticipate and prevent them.

The technologies at our disposal will play a pivotal role in shaping a safer future, and continuous innovation will be key to our success in the fire and safety industry.

About the IFSJ Influencer

Lt. Colonel Dr. Essa Almutawa is the Chief Artificial Intelligence Officer, the Head of Global Indicators for Fire Incidents, and the Director of the Department of Monitoring and Inspection at Dubai Civil Defense (DCD).

In his current position, Dr. Essa leads the development and implementation of strategic initiatives for the Department of Monitoring and Inspection at the DCD, ensuring that all safety protocols, inspection procedures, and regulatory practices comply with international and national standards of excellence and quality.

As Chief Artificial Intelligence Officer, he has established a new strategic approach for AI integration within DCD.

IFSJ Influencers Edition 2024

The 2024 Influencers Special Edition of International Fire and Safety Journal is a collection of some of the most influential voices across the fire and safety industry, representing a collective following of 4.2 million.

Together, they provide a comprehensive overview of the latest developments, challenges, and forward-looking insights shaping the global fire and safety sector.

Read all 30 influencer articles in the digital magazine now.

This article was originally published in the December 2024 issue of International Fire & Safety Journal. To read your FREE digital copy, click here.

UK businesses slow to adopt AI as construction industry lags behind

AI adoption trends in UK construction businesses

According to recent data from the ONS Business Insights report, only 21% of UK businesses have adopted artificial intelligence technologies, marking a modest increase of 5% since September last year.

While overall AI uptake has improved, a majority of businesses, at 79%, still do not incorporate AI into their operations.

The report indicates that the construction industry has particularly low adoption rates, with only 12% of businesses using AI technologies.

The findings highlight the ongoing challenges faced by industries in leveraging AI, with many sectors slow to integrate the technology.

Reasons behind AI adoption in business

Among UK businesses utilising AI, the ONS data shows that 40% are doing so to streamline business operations.

Meanwhile, 24% have implemented AI to enhance customer experience by personalising products and services.

The business benefits of AI are increasingly noted across industries, though many sectors, especially construction, continue to lag in adoption.

Mike Talbot, CTO at SFG20, commented on the impact AI could have within the building maintenance sector: “Recent developments in AI create the opportunity to revolutionise how the industry approaches the process of building maintenance.

“The biggest challenge for facilities managers is identifying what tasks must be performed on each asset in a building to preserve life, reduce cost, and stay compliant with the law.”

Building maintenance and AI integration

The application of AI in building maintenance has grown, benefitting owners, managers, engineers, and construction workers.

AI has the potential to reduce the time required to schedule and perform maintenance tasks, helping ensure compliance and lower costs.

Talbot explained how AI simplifies this process by analysing assets and aligning them with SFG20 schedules, automating much of the compliance and risk management process.

Talbot stated that with AI, many tasks in building maintenance can be automated and completed faster: “AI can now shoulder the load of these tasks and reduce the time taken from months to hours by understanding both the asset and the SFG20 schedules that apply – automatically creating a link in many cases and providing the key questions to ask where not enough information exists.”

Upcoming insights at SFG20 Virtual Summit

Mike Talbot is set to discuss AI’s role in building maintenance at the SFG20 Virtual Summit 2024, scheduled for Wednesday, 20th November.

Talbot will join a virtual panel of experts to discuss practical AI use cases, best practices, and the impact of AI from an engineer’s perspective on-site.

Tickets for the virtual event are available through the SFG20 summit portal.

AI adoption among UK businesses remains low despite recent growth: Summary

Data from the ONS Business Insights report shows that AI adoption among UK businesses has increased by 5% since last year, with only 21% of companies now utilising the technology.

The construction industry, in particular, shows a low adoption rate, with just 12% incorporating AI.

According to ONS, most businesses implementing AI aim to improve operations or customise services.

Mike Talbot, CTO at SFG20, highlighted the benefits of AI in building maintenance, noting it could streamline compliance and scheduling tasks.

Talbot will speak on these topics at the upcoming SFG20 Virtual Summit 2024.

Zelim Unveils World’s First Unmanned Man Overboard Rescue Vessel at SMM Trade Fair

Zelim, the Edinburgh based sea survival innovator, has officially launched the world’s first unmanned/manned remotely controlled person-in-water rescue vessel.

GUARDIAN, an 8.4m long, 2.5 wide aluminium hulled Next Generation Fast Rescue Craft (FRC), was unveiled to the international maritime industry for the first time at the SMM Trade Fair, in Hamburg, Germany.

Specifically designed for rapid deployment from a ship to recover both conscious and unconscious man-overboard casualties, the GUARDIAN FRC can operate in maritime conditions that conventional manned recovery solutions would find challenging or too dangerous to deploy.

Taking four years’ research and development, with input from the UK’s Maritime & Coastguard Agency and the US Coastguard GUARDIAN incorporates Zelim’s type approved SWIFT rapid rescue conveyor and ZOE, Zelim’s intelligent detection software for optimising search.

During a MOB event, GUARDIAN is instantaneously lowered into the water by way of a ship’s existing LARS davit installed at deck level.  Once in the water, an Alamarin AJ285 waterjet powered by a single Bukh VGT 400HP motor speeds the rescue vessel along at a rate of 30-plus knots towards the casualty. GUARDIAN’S range is 15nmiles with a six-hour endurance.

As it nears the person(s) in the water, the FRC lowers the integrated SWIFT and slowly heads towards the casualty who is then recovered from the water by the rescue conveyor, which is specifically designed to grip and recover immersed casualties, whilst minimising the risk to casualties from the loss of hydrostatic pressure. SWIFT can pull two survivors to safety simultaneously, minimising the risk for rescuers.

Given that about 40% of all man-overboard incidents results in fatality, with more than 1000 people falling overboard annually, the efficiency and simplicity of Zelim’s GUARDIAN in rescue missions cannot be understated. 

“Sea survival is hugely dependent on the time it takes to retrieve individuals from the water, but inclement weather can prohibit the launch of manned rescue craft and lives are needlessly lost,” said Zelim founder and innovator Sam Mayall.

“Ship crews have little time to carry out an effective rescue before maritime conditions prevent the casualty from assisting in their own rescue. When rescue vessels approach, many survivors simply don’t have the strength to pull themselves to safety. This is even more difficult when they are unconscious or unresponsive. GUARDIAN has been designed to ensure more people can be rescued in the harshest of weather conditions.”

With capacity for 11 survivors (nine if GUARDIAN deployed with a two-person crew), the lightweight FRC also benefits from AI-based person-in-water detection and alerting system.

Peter Lloyd, Zelim’s Director of Search and Rescue, said: “Speed is the key to rescuing individuals from the water before they perish. But first you must find your casualty. Sea search is notoriously difficult with human performance subject to distraction and loss of attention, especially during a prolonged search. In Zelim’s aim to develop an unmanned rescue vessel, sea search had to be automated.”

The result of Zelim’s product development was ZOE, a new software tool capable of providing instant detection and alerting of persons and objects that enter a field of view. ZOE is also capable of differentiating between a human in the water and other objects that might be present such as buoys, flotsam and jetsam.

Providing real time location information and integrated with the GUARDIAN’S navigational system, the technology allows rescuers to see what the human eye cannot with visual cues overlayed on a simple display.

While Zelim is marketing SWIFT and ZOE as standalone maritime safety and security tools, their integration with GUARDIAN demonstrates how easily the technology can mitigate the risks for both rescuer and casualty to improve the chances of MOB recovery.

The decision to launch any rescue asset is always a balance between the risk to the rescuers and the probability of success. An unmanned, or lean manned GUARDIAN, may permit a launch in conditions beyond those normally accepted,” said Lloyd.

The FRC can operate with or without a crew, remotely, and has enhanced rescue situational awareness capability. It has the same footprint as conventional craft, and can be easily stowed and deployed using existing davits.

In addition to MOB missions, GUARDIAN can perform a variety unmanned maritime safety and security roles, including search and rescue, security patrols, standby and recovery. Zelim believes GUARDIAN should be installed on ocean-going vessels, including cruise ships, and offshore vessels and platforms, as a matter of course.

Artificial intelligence to enhance wildfire detection using satellite data

NOAA’s new AI wildfire detection system

A new artificial intelligence program developed by the National Oceanic and Atmospheric Administration (NOAA) aims to identify wildfires as small as an acre by analysing images from weather satellites orbiting approximately 22,000 miles above Earth.

As reported by Phys.org, the AI, called the Next Generation Fire System, processes vast amounts of satellite data, detecting heat from fires smaller than a football field and flagging potential new fires for human verification.

This system, tested in Boulder, promises to reduce the time between fire detection and response, a critical factor in fire containment.

Mike Pavolonis, NOAA Satellites’ Wildland Fire Program manager, explained the advantage: “While humans are great at detecting a new fire from satellite images, they can’t process the data as quickly and easily as the AI program.”

The system underwent its first significant test run with fire weather forecasters, state wildfire managers, and researchers using simulated fire scenarios.

Real-time application and success of the Next Generation Fire System

The Next Generation Fire System has been online in an experimental form for about a year, but agencies have now started using it in real time.

The system provides GPS locations of suspected fires, which are more accurate than traditional methods of locating smoke sources.

It also offers information about fuels in the area and potential weather conditions that could affect fire behaviour.

Zach Tolby, manager of NOAA’s Fire Weather Testbed, highlighted the tool’s importance for remote areas: “In populated areas, 911 gets called pretty quickly when there is new smoke. But that’s not the case in more rural areas.”

The program’s advanced detection capabilities are crucial as wildfires in the West have become larger and more devastating due to drought, climate change, and decades of fire suppression.

Broader AI applications and funding in wildfire management

NOAA’s artificial intelligence initiative is one of several projects leveraging AI to detect and combat wildfires.

In Colorado, multiple governments and companies, including Xcel Energy Colorado and the Aspen Fire Department, use AI-driven systems like those provided by Pano AI to monitor for smoke.

State lawmakers in Colorado attempted to allocate $2 million for AI camera systems in 2023, but the bill did not pass.

However, the federal government has invested heavily in new technologies for wildfire management, with the Fire Weather Testbed and the Next Generation Fire System funded through a $5 billion allocation in the Bipartisan Infrastructure Law.

NOAA Administrator Rick Spinrad commented on the impact of rising temperatures and frequent droughts: “Rising temperatures, declining snowpack and frequent droughts are all leading to a dramatic surge in wildfire frequency and severity across the United States.”

He added that the investments aim to develop tools to improve forecast accuracy and assist local officials in decision-making.

Continued advancements in wildfire detection technology

NOAA has long used weather satellites for wildfire detection, but recent technological advancements have significantly enhanced their utility.

The organisation is also working on an AI program to detect and predict lightning strikes, which can potentially start wildfires based on weather conditions and other factors.

Pavolonis expressed optimism about the progress made: “The rate at which progress has been made on this has been pretty exciting.”

AI in industrial sector: Honeywell’s findings highlight growth and potential

Global AI research study reveals new insights

Honeywell has released the findings of its Industrial AI Insights global research study, capturing the current state of Artificial Intelligence (AI) in the industrial sector, as reported by Honeywell.

The study shows that only 17% of AI decision-makers worldwide have fully implemented their initial AI plans.

However, over 90% are discovering new use cases during the prototyping, launch, or scaling stages of AI implementation.

The research also indicates strong support for AI in industrial applications.

According to the study, 94% of those surveyed plan to expand their use of AI.

Benefits of AI in the workplace

The study highlights several benefits of AI in the industrial workplace.

Efficiency and productivity gains are cited by 64% of AI leaders as the most promising advantages.

Additionally, 60% report improved cybersecurity and threat detection, while 59% see better decision-making due to real-time data generation.

Respondents also noted other benefits, such as increased work flexibility (49%), greater job satisfaction (45%), more time for skills development and creative thinking (44%), and enhanced workplace safety (39%).

Skills development is especially crucial as the workforce faces a skills shortage with retiring baby boomers and fewer replacements entering the field.

AI helps employers upskill and reskill workers more efficiently, transforming industrial jobs and improving both productivity and job satisfaction.

Lucian Boldea, President and CEO of Honeywell Industrial Automation, said: “With AI training and AI as a ‘co-pilot,’ the skills of less experienced technicians can be upgraded more quickly, turning them into elite experts.”

Challenges and future prospects for AI

Despite the enthusiasm for AI, challenges remain in achieving full adoption.

According to the survey, 37% of respondents believe their C-Suite does not fully understand how AI works.

Furthermore, 48% report having to continually justify or request resources needed to implement AI plans.

Billal Hammoud, President and CEO of Honeywell Building Automation, commented: “Businesses recognize that AI is transforming our world and creating new possibilities.

“For building operations, such as hospitals and offices, it is clearly the future.”

The pace of change is expected to be driven by measurable improvements in business performance.

As new AI solutions demonstrate clear benefits, adoption is likely to increase, potentially transforming industrial operations.

Research methodology

Honeywell commissioned Wakefield Research to conduct the survey from April 22 through May 2, 2024.

The online survey involved 1,600 executives from 12 global markets, including the US, Brazil, Canada, China, France, Germany, India, Japan, Mexico, the United Kingdom, Saudi Arabia, and the UAE.

All respondents are influencers or decision-makers related to AI use within their organizations.

Euralarm board joins AI pact to support AI Act measures

Euralarm’s commitment to AI Act implementation

The Board of Euralarm has decided to participate in the AI Pact, as reported by Euralarm.

This initiative supports organisations in preparing for the AI Act measures.

Recently approved, the AI Act includes provisions that will apply shortly after its adoption.

Some requirements, particularly those concerning high-risk AI systems, will come into effect at the end of a transitional period.

European Commission’s AI pact initiative

The European Commission is promoting the AI Pact to encourage voluntary industry commitment to the AI Act.

The first call for interest in November 2023 received responses from over 550 organisations across various sectors and countries.

The AI Office is developing the AI Pact around two main pillars.

The first pillar engages the AI Pact network, promoting best practice exchanges and providing practical information on AI Act implementation.

The second pillar urges AI system providers and deployers to prepare early for compliance with legislative requirements.

AI pact meetings and standards development

Meetings of the AI Pact will discuss standard development by CEN/CENELEC, expected to be completed by February 2025.

A limited Q&A session will address governance topics.

High-risk AI systems will require CE marking, and companies must register in a publicly accessible database.

There will not be a specific label for AI conformity.

Harnessing AI to enhance fire safety measures

Kaylie Moncur, Head of Marketing at SeeChange, sheds light on the transformative power of artificial intelligence in fire safety

For hundreds of thousands of years, humans have used and controlled fire.

From cooking food to powering industrial revolutions, fire has been a tool that humans have both used and respected.

With this respect for the danger that fire represents, humans have developed regulations for using it safely.

In the early days of humanity this could mean not lighting a fire around dry foliage, humans having witnessed the devastation of wildfires on the landscape; for modern life there are potential fire risks at every turn from retail storage to petrol filling stations.

So how do we keep pace with safety when the risks are constantly evolving?

OSHA and HSE are regularly updating standards in line with new risks, but for businesses and individuals these standards are both numerous and rely on human interaction with the standards to maintain compliance.

A fire safety officer can write a detailed fire risk assessment, plan safe routes out of the building and comply with the legislation on paper.

However, there will always be unknown additional factors that emerge, and the human nature to take shortcuts to overcome.

Despite the regulations and implementations of risk management and fire prevention, fire and explosions (excluding wildfires) are the single largest identified cause of corporate insurance losses, representing 21% of all claims with more than €18 billion of insurance claims between 2017 and 2021.

Human nature is to assume risks are lower, especially in familiar environments, and confirmation bias can reinforce this – an employee left a box of products in front of an electrical panel a week ago and it was fine, it will be fine this time too.

The employee may be right, this time it might be fine, but what about next time?

What about the day of an unannounced fire safety inspection, or the day that the electrical panel becomes faulty and sparks?

Businesses can be meticulous planning fire safety on paper, but in the end they rely on employees to stay within the rules.

When this falls down, this can lead to fines as a minimum.

Fires can cost in building damage, insurance premium increases, compensation for anyone caught in the fire, and in worst case scenarios it can cost lives.

What does AI have to do with Fire Safety?

Artificial Intelligence (AI) is (along with connectivity, human-machine interaction and advanced engineering) one of the four foundational types of what is referred to as the fourth industrial revolution.

Computer Vision AI seeks to understand scenarios by extracting meaningful information from the surroundings, and to execute actions defined by programmed rules.

Introducing AI into Fire Safety allows businesses to balance human actions with agreed safety parameters and to demonstrate to health and safety regulators, insurance companies, their own employees, and customers that they take fire safety seriously.

Although it can seem complicated to introduce AI to a business environment, solutions can be designed to run on edge devices, integrate with existing CCTV, and be fine-tuned to individual environments, providing 24/7 cover.

 A challenge for Health & Safety professionals is to apply regulations consistently across sites where layout differs.

AI can enforce rules designed by fire professionals, allowing them to focus on reducing or eliminating associated risks.

An example could be the electrical panel scenario we previously highlighted.

Whilst health and safety professionals can decree access must not be blocked with a minimum clearance of 30″x36, how do they enforce this when employees are running the store day to day?

Without a health and safety professional on site throughout store opening hours, it is reliant on employees remembering and actively following risk assessment guidelines.

For businesses with plenty of employees, this can be less challenging, but for those with fewer employees trying to complete more work, health and safety may not be a priority.

By turning on AI solutions which monitor for scenarios such as these, businesses translate the risks outlined by their health and safety advisors into actionable rules, with the health and safety management system integrating with existing communication methods.

In store notifications would then be sent advising items have been stored incorrectly and requiring them to be relocated.

Of course, AI like any tool has its limitations.

 For example, data requirements are a challenge – AI needs to learn about its environment, and this typically requires huge amounts of data.

 In addition, there is always a risk that if an AI system encounters something in an environment it is not familiar with, something important could be ignored (known as a False Negative) or something irrelevant could be flagged (a False Positive).

Overcoming limitations such as these requires a combination of machine learning and human oversight.

 By ensuring solutions are built with human inputs this enables AI to make safer and more accurate decisions, and for them to continually improve by taking these corrections into account.

 It also ensures that humans can review and understand the decisions AI makes and intervene with this decision-making process when necessary.

What can AI offer for Fire Safety?

The key areas of fire safety that AI can really help businesses succeed with are:

  1. Continuous monitoring of protected zones including exit routes, exit doors, electrical panels, with rules and parameters determined by both the regulations and the individual business layout.
  2. Early alerting for spills of flammable and hazardous liquids such as fuel leaks at a petrol station
  3. Notifications for obstructed access or missing firefighting equipment such as fire extinguishers.
  4. Insights into incidents, near misses and general store safety
  5. Reporting and audit trail documentation to demonstrate to regulatory bodies a commitment to ensure compliance

For businesses this is an extension of their existing health and safety practices, enabling them to demonstrate to regulatory bodies that they understand and comply with regulations.

It also provides opportunities for employee training or business process improvement – is a fire door always blocked at 9am on a Monday because of stock deliveries?

Are there more obstructions in exit routes during peak holidays due to excess stock deliveries with no place to store it?

Businesses can utilise AI to guide their employees into complying with the regulations.

But in addition, when used properly AI can also provide a wealth of data including critical insights, incident reports and audit trails to help understand what is happening at a granular level across the business.

For retailers with multiple stores in a chain, deploying a health and safety management system can allow them to understand the entire retail estate immediately – which stores are more frequently non-compliant, which regions may need more employee training, which areas are performing well and so consistently strive for better standards.

This can then enable businesses to reward the stores performing well, and support those who are not compliant.

Stores for example with high staff turnover may not have enough employees with the awareness and training to enforce regulations.

Some stores may be understaffed and lack the capacity to get the store cleanliness and fire safety hygiene under control.

For businesses, this would allow them to assess the situation as a whole and address problem areas.

In the example above, if a store is understaffed, businesses may focus more attention on recruitment drives in specific regions, as this is likely to be much more cost effective than repeated fines for non-compliance.

Finally, AI can enable remote cross-estate fire safety compliance visibility.

AI allows managers to see how stores perform day to day, how fast employees respond to fire safety non-compliance and how many incidents there are every day, week, and month.

Businesses can then use this data to find ways to incentivise their employees to adhere to continual compliance – stores with less than 10 incidents per quarter may get a bonus or other benefits for maintaining health and safety compliance.

Whilst the world of AI seems vast and it can be difficult for businesses to know how or where to start, it is easy to see the value of AI in these settings.

Not only can businesses demonstrate how seriously they take fire safety to regulatory bodies, but they can ensure that workplaces are truly safe for their employees and customers.

This article was originally published in the April 2024 issue of International Fire & Safety Journal. To read your FREE digital copy, click here.

The role of AI in modernfire and rescue services

IFSJ Managing Editor Duncan J. White looks at how the modern fire and rescue service is undergoing a transformation, driven by technological advancements

One such advancement that is increasingly making its presence felt is Artificial Intelligence (AI).

AI has the potential to revolutionise various aspects of firefighting and emergency response, enhancing the capabilities of these critical services.

In this feature, I will explore how AI can play a significant role in the modern fire and rescue service.

Predictive analytics for improved response

AI can be a game-changer in terms of predicting and preventing fires.

Advanced machine learning algorithms can analyse historical data, weather conditions, building structures, and other factors to identify high-risk areas.

By identifying these areas in advance, fire and rescue services can allocate resources more effectively, deploy firefighters strategically, and even implement preventive measures to reduce the likelihood of fires.

Enhanced situational awareness

When responding to a fire or emergency, having accurate and real-time information is crucial.

AI-powered sensors, drones, and cameras can provide firefighters with a comprehensive view of the situation.

These devices can detect heat sources, hazardous materials, and even the presence of people in a burning building.

This data can be invaluable for making informed decisions, ensuring firefighter safety, and optimising resource allocation.

Intelligent resource allocation

Fire and rescue services often face resource constraints, and AI can help optimise resource allocation.

AI algorithms can analyse incoming emergency calls, assess their severity, and recommend the most appropriate response.

This ensures that critical incidents receive prompt attention, while non-emergencies are managed efficiently, reducing unnecessary strain on resources.

Augmented training and simulation

AI can also play a crucial role in training firefighters.

Virtual reality (VR) and augmented reality (AR) applications powered by AI can provide realistic training scenarios.

Firefighters can practice various situations, from basic firefighting to complex rescue operations, in a safe and controlled environment.

AI can adapt these scenarios to the individual’s skill level, making training more effective and tailored to each firefighter’s needs.

Remote firefighting

In some situations, it may be too dangerous for firefighters to enter a burning building immediately.

AI-controlled robots and drones equipped with firefighting tools can be remotely operated to combat fires and assess the situation before human intervention.

This reduces the risk to firefighters and can lead to more effective firefighting operations.

Data-driven decision making

AI can process vast amounts of data in real-time, providing valuable insights to incident commanders.

Machine learning models can analyse factors like wind speed, temperature, building materials, and more to predict fire behaviour.

This information helps incident commanders make informed decisions on evacuation plans, resource allocation, and overall strategy during an emergency.

Improved communication and collaboration

AI can enhance communication within the fire and rescue service and with other emergency response agencies.

Chatbots and natural language processing can automate routine communications, allowing personnel to focus on critical tasks.

AI can also facilitate data sharing and coordination between different agencies involved in a large-scale emergency, improving overall response effectiveness.

Post-incident analysis and learning

After an incident, AI can assist in analysing the data gathered during the response.

This includes identifying what worked well and where improvements can be made.

Machine learning algorithms can help extract valuable lessons from each incident, contributing to continuous improvement in firefighting and rescue techniques.

Challenges and ethical considerations

While the potential benefits of AI in the fire and rescue service are substantial, there are also challenges and ethical considerations to address.

Privacy concerns related to the use of AI[1]powered surveillance systems and data collection must be carefully managed.

Additionally, the reliance on AI should not replace human judgment and empathy, which are essential in emergency response situations.

Conclusion

AI has the potential to revolutionise the modern fire and rescue service.

From predictive analytics and enhanced situational awareness to intelligent resource allocation and augmented training, AI can improve the efficiency and effectiveness of firefighting and emergency response operations.

However, it is essential to strike a balance between embracing AI’s capabilities and maintaining human oversight and ethical considerations.

With careful planning and implementation, AI can indeed play a significant and positive role in the modern fire and rescue service, ultimately saving lives and protecting communities.

This article was originally published in the February 2024 issue of International Fire & Safety Journal. To read your FREE digital copy, click here.