2020 was a record-breaking year, but some of the reasons went unnoticed because of preoccupation with the pandemic. 2020 had the sunniest April and May on record and the third-hottest day ever recorded in August. It also had the wettest February on record with the highest number of flood warnings ever issued, as well as the wettest single day ever in October. It was warm, wet and windy.
The Met Office predict ever hotter drier summers and wetter warmer winters. With sea-levels also rising we need proactive solutions quickly.
Surprisingly, the UK has no single body responsible for flood control. The Department for the Environment and Rural Affairs (DEFRA) is regarded as “the policy lead” in England. However, actual decisions depend on district and borough councils, the Cabinet Office, the Department for Communities, the Highways Authority, water and sewerage companies, independent Internal Drainage Boards, coastal protection agencies and a variety of other bodies. Even though water flows without regard to political boundaries, areas that fall inside Wales and Scotland have been delegated to their respective regional assemblies, further impeding a unified response.
Although DEFRA specifically advocates a “free flow of information” between all these agencies, it is inevitably fragmented. Knowing what is happening at any given moment is further complicated by pumps and sluices under the control of landowners, and construction activities that change the flow of surface and subterranean water. Widespread housing developments on flood plains also change the risks. What is missing is the ability to gather instant, highly detailed information on complete water systems.
Measuring water levels is not new: you can see old-style gauge boards beside many big rivers. DEFRA and other agencies rely on electronic measuring devices which are able to communicate with remote measuring stations. They provide an API which allows any interested party to access their data ( http://environment.data.gov.uk/flood-monitoring/doc/reference) but that data is limited.
The imminent water level in one location is often less determined by height readings in that location than by flow-rates upstream, plus other factors. Water momentum, wind direction, the saturation of flood plains and the quantity of rain falling in any particular location are all hard to measure. Air humidity, temperature, soil condition, the water table, plant growth on riverbanks and debris in sewers all contribute to creating a complex picture.
Current systems don’t capture enough information, but they are also limited by how the data is used. Most water monitoring systems do little more than trigger an alert if the river level is high. This isn’t much better than a weather report telling you it is raining when you can look out of the window.
Alerts are often too inaccurate, imprecise or late for those affected to act. By using more sensors and better analysis we might achieve two things, earlier and more precise predictions and proactive flood prevention.
Some good news is the explosion in sensor devices that communicate via the Internet of Things. This means that more types of sensor can be deployed over larger areas cost-effectively. They require no independent wired or wireless networks and there is no reason for agencies to hold information silos. Local stakeholders can deploy and extract the information they require and easily share it with regional and national interests.
Many different kinds of sensor are available. For water level monitoring alone there are radar devices, electrical switches, gas bubbler pressure gauges, flowmeters, submersible pressure transducers. Especially interesting are ultrasonic devices such as the Wilsen sonic level [1].
IoT devices of this type use little power so they can function for years unattended, yet still connect with internet gateways 15km away, for example the LoRaWAN® system. This means it is feasible to deploy them over larger areas, such as tributaries, drainage ditches, fields, forests and culverts.
The other potential advance depends on AI. Not only can an AI-powered system extract better flood predictions from larger data sources, but it could also be applied to prevent flooding. By truly centralising all water management related information, AI can identify the systemic patterns that lead to loss of control over water. Solutions that could minimise flood disasters may be deployed far from the locations they devastate, replacing flood alerts with avoidance policies.
AI and IoT approaches to flood prevention are already being explored by Fujitsu in Japan, Google in Patna India, the Lassonde School of Engineering in Canada and in the town of Cary in North Carolina using the SAS Viya AI analytics platform and Microsoft Azure.[1] https://www.pepperl-fuchs.com/great_britain/en/WILSEN-system.htm
Artificial intelligence is the beginning of a revolution, but in one way it is just like every other revolution: It can be abused. Whether or not you already use any AI, you need to understand two things; that AI is cranking up the severity of security threats, but it can also offer improved security.
AI systems are fast and dynamic, meaning they learn from experience instead of relying on pre-programmed assumptions. AI-powered malware doesn’t require the hacker to know anything about you in advance. However, an AI-powered defence system needn’t depend on fixed definitions of who to trust and who not, or how they gain access. It can learn to recognise suspicious activity.
AI will power more advanced intrusion attempts into systems that are themselves more powerful. End users need to understand that the sophistication of AI-powered tools does not mean they are secure. For example, facial recognition systems powered by AI can potentially be spoofed by another AI, providing building access to criminals, or framing innocent people with forged video footage.
A report from Forrester “Using AI for Evil” says “mainstream AI-powered hacking is just a matter of time” and Ciaran Martin, of the National Cyber Security Centre, said it’s a matter of “when not if” [there will be a major attack on the UK].
Using “bot manipulation”, malware can use AI to adapt its appearance so that antivirus software doesn’t recognise it. It can also use AI to sample normal network activity and use it as camouflage, known as “generative networks”. When the target is itself an AI system, a malicious actor can feed “poisoned” data to the engine in order to bypass filters or simply cause damage. AI can also learn to impersonate a legitimate person or company in order to launch a social engineering attack.
The ability of AI to react quickly and adjust its responses as situations evolve also makes it ideal for defenders. An AI security system gives defenders the edge by providing early warnings and rapid incident response, so attack vectors can be closed down before any real harm can be done. Darktrace is one such tool.
Behaviour analytics is another important defence tool. Detecting unusual activity allows the AI to close access to key resources while a deeper examination is undertaken, for example, using Varonis. Mastercard’s director of cyber and intelligence solutions in South Africa, says AI is saving $20 billion per annum by detecting fraud in this way. Embedded malware code can be detected using a similar method.
AI-powered solutions also help by improving activity logging; centralising it in a single place and providing tools to zoom in on significant trails. The logs collected by Azure and other Cloud platforms provide a good basis for an effective SIEM system. These tools also enable you to create and evaluate your alert response workflows.
Once in the Cloud you have access to specialist security products and expertise that few enterprises can deliver in-house. Specialist companies constantly monitor the global situation to stay aware of threats emerging in particular sectors or locations. An ideal SIEM integrates this digital intelligence with your standard procedures such as logs, asset inventory, AI pattern detection and automated incident responses, and makes it easy to demonstrate your statutory compliance.
Unfortunately, we can’t wait for someone else to solve our cybercrime problems. The very people we should be able to trust to protect us, the NSA and GCHQ, created the EternalBlue tool used in recent ransomware attacks such as WannaCry, NotPetya and BadRabbit. They also left exploitable flaws in Windows and implanted backdoors into server and router firmware. Although this is similar to the warnings against Huawei, the NSA have placed similar backdoor access into products from Cisco, Juniper and Fortinet.
The problem with creating these weapons is that everyone else soon uses them; innocent companies are the victims. According to Wikileaks on 7th March, the CIA regularly listens in on Samsung televisions and iPhones and can take control of numerous IoT devices and car computers. When they do it, others will soon follow.
For businesses the goal is clear, keep spyware and vulnerabilities out of your software and hardware. That means taking a keen interest in where your IT products come from and investing in good security. There are limits to what is practical, but an integrated security system powered by AI is the best possible solution
Like sonar, ultrasonic transducers can detect detailed qualities of surfaces by bouncing sound waves off them. Today’s sensors are cheap, compact and have a vast range of applications.
The simplest ultrasound detectors in use are passive microphones but the majority of applications use a transducer - a device that combines a sound emitter and echo receiver. They are tuned to frequencies above 18 kHz, therefore inaudible to the human ear. Sound can be generated in a variety of ways but the most common methods are piezoelectric and capacitive (creating an electrostatic field between a back-plate and a diaphragm).
The vast majority operate in a straightforward way: they measure the time lapse between the signal generation and the arrival of its reflection. This simple principle can be tuned and adapted to achieve an impressive variety of functions. Sensors can detect and record speed, weather, size, material levels, numbers of items, condensation, contours and profiles, distance or proximity. Their targets can be large or tiny, near or distant, stationary or moving. When fitted in mobile vehicles and containers, geolocation reporting is often incorporated onto the same devices.
Some of the uses of proximity sensors are familiar - such as reversing vehicles and intruder alarms - but they have far more potential. Detectors can calculate accurate distances to the intercepted surface. The basic formula is simple: L = 1/2 × T × C - (L being the distance, T the time between transmission and reception, and C the speed of sound). Variations in the speed of sound can be allowed for as required and many sensors can work underwater or within other fluids where sound propagates differently. Detected surfaces can be irregular or diffuse, such as wire mesh, yet the sensors are resistant to interference from mist or dust.
This principle allows sensors to monitor the level of material in tanks and silos, highly valuable for any business reliant on continuous feedlines or just-in-time reordering. Ultrasound sensors can be set to detect a concise point or to average a broad irregular field of objects such as those in municipal recycling bins. Despite irregular contents, ultrasound sensors can issue automated alerts to the collection or refilling company, ensuring perfect logistical efficiency.
Sensors are also being deployed to monitor water levels in rivers and reservoirs, facilitating river management, water supplies, flood control and protecting natural habitats. Similarly, they can monitor levels when filling boxes and bottles or the cups in a drink dispenser.
Speed cameras use infra-red but discrete ultrasonic transducers can apply the same principle to estimate the speed and direction of moving objects. There are a variety of ways to implement this; sensors can emit a series of pulses, calculating the change in distance over a given time, multiple sensors can triangulate in several dimensions, and (in principle) a Doppler effect could be calculated from pitch modulations.
Engine and motor speeds can also be safely monitored using discrete acoustic sensors.
A basic requirement on many production lines, acoustic sensors have no difficulty calculating the exact number of items that pass through an acoustic signal. Sensors can also sort boxes of different sizes, providing independent counts; useful for economic packing into delivery vehicles.
Some of the applications are surprising, for example linking a sensor to a rotating anemometer and/or weather vane can transmit constant information about wind speed and direction for meteorological purposes. Locating them at entry and exit points can ensure car park or building occupancy is not exceeded or that all personnel have been evacuated.
Medical ultrasound scanners are familiar, but profile sensing is now highly versatile and affordable. It can be implemented into semi-automated or robotic assembly lines, or to support shaping and finishing processes. A simple, but vital, application is to monitor stacking. They can also accurately monitor roll diameters and coil winding and unwinding operations.
The possibilities for acoustic sensing are vastly extended by transmitting the output from smart sensors across the “internet of things”. Multiple outputs can then be combined in a single sophisticated web-based interface and monitored in real time from any convenient location. Smart sensors can then be easily interfaced with microcontrollers and actuators to provide sophisticated remote control and record details into enterprise management software.
Many businesses have yet to realise the wealth of opportunities that come from linking smart sensors to the IoT. Off-the-shelf devices are cheap and unobtrusive. For more demanding applications, bespoke algorithms can be implemented in the device firmware or in software at the collection point.
Many businesses, not just factories, can benefit from sensors. They can monitor doors, count products, maintain temperatures, control production lines, automate stock records and optimise a host of other functions from the most simple to the most complex. They are cheaper and more capable than ever before: if you aren’t using them already you should be exploring the possibilities, but how you connect them is a key consideration.
Arguably, a door-bell is a simple wired sensor but a door bell can also be wireless. Even in the case of door bells, the best solution may be deployment-specific. Here are some of the key advantages and disadvantages to consider when deciding how to connect your sensors.
Quick, and therefore cheap, installation is often a decisive advantage in favour of wireless sensor systems. Wireless is frequently the only sensible solution in listed buildings or on sites already crowded with infrastructure. It is usually more viable when the site is split between several locations. Wireless connection easily causes less disruption to ongoing operations and less damage to plaster and floorboards.
In contrast, once you have paid for the equipment and installation, running costs should favour wired networks that do not need to lease bandwidth. Nevertheless, wireless IoT solutions are usually cheaper overall - as are future modifications, equipment relocations and network extensions.
A downside to connectivity is always the potential for intrusion or data corruption. IoT and Cloud solutions offer a range of protections and many come free - relieving you of a significant IT burden. Wired networks keep more points of vulnerability in-house, but are only more secure if you have personnel who know how to protect them. New security enhancements - such as SDN - can provide signal encryption and dynamic routing with minimal IT overheads.
Wired Ethernet networks are often a sound decision when all of your infrastructure is reachable. Wireless solutions have an obvious advantage if you need to connect remote equipment. If you are a utility operator, a farmer with multiple scattered assets, or a transportation company whose assets are moving, other options make little sense.
When your assets are in exposed locations, even inside a factory, remember that not all wired switches, routers and hubs are robust when subjected to extreme temperatures, moisture, grit, or power spikes. Wifi is therefore more reliable in harsh environments.
Wireless sensors are easy to replace or relocate without rewiring anything. You can also easily extend the network to incorporate additional operations, even when they are in a different building. Wired networks often require IT engineers to keep them running properly.
In contrast, wireless networks rarely require attention - they communicate over the Internet, which is maintained for you. Wireless technology makes it easier to benefit from upgrades and patches, or new Cloud software as it comes along.
By linking your devices using the IoT, your wireless network and Cloud resources can become scalable to fluctuating demands. If your production scales down, so does your consumption of bandwidth. If it scales up, extra capacity should be available on demand. With the right contracts in place, your sensor-control infrastructure can become a fixed and predictable percentage of your operating overheads. By comparison, a physical network always costs money to expand and returns nothing when it contracts.
Some wireless sensors rely on batteries. The advantage of batteries is that your wireless devices stay on and connected even in a power failure. The downside of batteries is that changing them usually takes a sensor offline (although this can be avoided using capacitive power storage). Conversely, wired sensors will always fail if their whole network fails or has to be powered down for maintenance.
Even in a total blackout, battery-powered wireless sensors continue sending your data to the Cloud via the IoT and you can continue monitoring them with your smartphone.
Any network issue could interrupt wireless services, so if 100% continuity is vital to your operations, a fall-back plan is important. However, wired networks are also susceptible to power failures and other interruptions, so backup plans could be needed anyway.
Electromagnetic interference from power lines is unlikely to affect physically wired equipment but sometimes causes a problem for wireless sensors. There are usually workarounds or shielding solutions for these local problems.
The choice between wired and wireless need not be either/or. A good IoT development team will help you to integrate wireless sensors with wired ones according to the issues in different locations - and enjoy the benefits of both.
The Environment Protection Agency recently declared that “Air pollution has a devastating impact on the UK population, shortening lives, causing early deaths and ill health. It is a bigger global killer than smoking. It costs the UK economy over £20 billion a year.” ( https://www.environmental-protection.org.uk/policy-areas/air-quality/air-pollution-law-and-policy/air-pollution-laws/.)
Common pollutants include ozone, sulphur oxides, nitrogen oxides, dioxins, polycyclic aromatics, carbon monoxide, ozone, particulates, ammonia, methane, hydrogen sulphide, chlorine, hydrogen chloride, hydrogen cyanide, phosphine and ethylene oxide. The consequences range from debilitating fatigue, headaches, hay-fever, skin disorders and eye irritation up to fatal illnesses including lung cancer, emphysema, asthma, COPD, bronchiolitis and cardio-vascular diseases. Polluted air has also been linked to mental illness, behaviour disorders, mental retardation and miscarriage.
The EU accused the UK of failing to comply with EU air quality regulations in 2017 ( http://europa.eu/rapid/press-release_IP-17-238_en.htm) and the UK government declared air pollution a national health emergency the following year ( https://publications.parliament.uk/pa/cm201719/cmselect/cmenvfru/433/433.pdf). A post-Brexit Environment Act is in the pipeline but it is unclear whether it will have any more effect than previous failed legislation.
Outdoors, traffic fumes overtook factory chimneys as the leading problem long ago, despite which many proposals for the new Environment Act still focus on “factory emissions” as did the last Clean Air Act in 1993. The proposals also largely ignore indoor sources of air pollution.
According to a study by the US EPA, indoor air quality is often 5 times worse than the air outside ( https://www.epa.gov/report-environment/indoor-air-quality). The main offenders are synthetic materials such as composite wood furnishings (which leech formaldehyde), synthetic carpeting, cosmetics, pesticides, office printers, photocopiers, asbestos-laden roof tiles, faulty aircon systems, domestic cleaning products, and (ironically) “air fresheners”.
Whether the new legislation addresses these problems or not, it is clear that employers, industrial facilities, office managers, local government and the public at large should be looking for solutions. We all breathe the same air and it is a significant hidden burden on our communities and productivity.
Most cities and towns have a few air monitoring stations, but their coverage is poor. They are also fixed in location (often the wrong ones) and the public have little access to their readings. As such they leave us a lot of guesswork.
Most people assume that pollutants rarefy as you get further from the source. That is not always the case - many roll into low-lying areas or form invisible clouds overhead that descend to ground level when the air temperature changes (for example at dusk). Air quality in specific areas can be substantially worse than thinly sprinkled monitors reveal. In short, to understand our air pollution problems and correct them, we need more monitors. That is equally true inside our homes and places of work, and outside in our city streets and countryside.
Before the IoT, better monitoring was impractical, but a wide range of air-quality sensors are now available. The IoT makes it easy to collect and monitor their data from almost anywhere. Detectors in fixed locations help us understand how conditions change over time, but we can also use mobile detectors to greatly extend our geographical coverage. If every council vehicle carried a monitor, blackspots would be discovered quickly and dealt with.
High-end devices are capable of establishing the parts-per-billion of a wide range of pollutants. Others focus on particular known hazards, such as nitrogen oxides or aromatics. At the cheaper end of the range, suitable for many domestic and industrial uses, sensors can provide a simple “red-amber-green” warning system about air particulates. They are increasingly popular with urban cyclists, and alert you to don a face mask.
The most common method for connecting an air quality sensor is a simple 3G or 4G SIM card. However, there are many systems for collecting transmissions. In some parts of the British Isles, notably Scotland so far, LoRa wireless networks are available. No matter how much sophistication you require in your sensors, the vast majority of systems report to a Cloud service where the data is accessible through a simple website interface.
Understanding the data you collect is made easy by proven off-the-peg tools such as the Tableau analytics platform. Visualisation tools make it easy to understand the results of your monitoring devices at a glance. If necessary, you can then cross-reference your readings with factors such as weather information.
The Breathlife2030 organisation has declared September 7th 2020 as the first “International Day of Clean Air for Blues Skies”. There is no better time to be looking at IoT air quality tools than today.
Asset tracking has always been important but never more so than today. To position your contract bids or product prices competitively, you really need to know what resources and equipment you already have. With so much of industry geared to 'just-in-time' production and delivery schedules, you have to be able to mobilise, or replace them promptly. Things can go south very quickly if they aren't exactly where you need them and fit for purpose.
Even small enterprises need a long list of items to function, but for a company dependent on expensive tools, machinery and transport, losing them is no joke - it is the difference between prospering and insolvency. High levels of theft easily turn a challenging logistical problem into an unmitigated disaster. 92% of construction firms surveyed by the Chartered Institute of Building reported recent thefts from their sites; 21% said they fell victim on a weekly basis.
The total scale of losses from industrial crime is hard to assess. Estimates range from "over £1 million per week" to over £1 billion per year. Whatever the figure, the face-value of stolen tools and vehicles is only a fraction of the damage. Downtime, repairs, contract defaults, emergency equipment hire, higher insurance premiums and extra security measures probably triple the final cost.
The Construction Equipment Association has reported a surge during the Covid-19 lockdown [https://www.thecea.org.uk/construction-plant-theft-soars-estimated-50-covid-19-forces-sites-close/]. In addition to tools and vehicles, fuel, roofing materials and copper bales are popular targets. On green and agricultural sites, mowers and quadbikes are popular targets. Even when an entire vehicle isn't taken, expensive components are often ripped out.
Those solutions are asset registration and tracking. In the past, neither of these things was easy. Written lists of assets were usually out of date before the ink was dry, and sticky labels didn't help you trace something that wasn't there. The Internet of Things changes all that. Tracking can now be conducted in real-time and linked directly into asset, maintenance and logistical databases. In the event of a theft, a range of rapid responses are now at your disposal, helping you quickly recover goods and vehicles and claim for any damage. It also serves to prevent you from buying equipment with a suspect history.
It is a travesty that not everyone is yet using the IoT and professional asset management services. The more farms, factories and builders that sign up, the more effective they become in deterring theft and recovering equipment. There are numerous asset registration services available, but what businesses need is one that integrates with IoT services to provide immediate reporting and analytics functions.
Crime is not the only problem state-of-the-art systems help to solve. Efficient registration and tracking helps throughout the asset lifecycle; improving your financial forecasting, bid writing, supply chain logistics, project management, maintenance regimes, health and safety compliance, uptake of subsidies and tax allowances, insurance claim validation, identification of surplus equipment, and in assessing the true net worth of the business.
Another vital asset in any enterprise is its staff resources. Once you have proactive control of your equipment, you can extend the system to match it up with qualified operators. In turn, this can inform your hiring and training investments. There are few aspects of a business that cannot benefit from a proactive asset management policy.
Plant and agricultural theft is a vocation for many criminal gangs and they have well-established routes for disposing of heavy goods. For example, three men were caught last year with a tractor and cutter stolen from Bala, trailers from Bala and Denbigh, a digger from Corwen, a quad bike from Machynlleth and ornamental stone troughs from Oswestry.
British agriculture lost at least £50 million in stolen fuel, livestock and agricultural vehicles in 2018 - a 12.1% increase over 2017. Most of the increase was from agricultural vehicles, including tractors, trailers, all-terrain 4x4s, quad bikes and horseboxes.
Even in remote locations, it is essential to lock-up all tools and vehicles and separate them from the keys. Record all serial numbers, for vehicles as well as each piece of valuable equipment fitted or stored inside them. Ideally, also photograph each item. Mark items in discrete locations with smart-water and paint your postcode or other identifier on vehicle roofs to help police helicopters.
Installing immobilisers and having the vehicle identification number etched onto the windows also helps to frustrate thieves, but tracking chips linked to the IoT are one of the cheapest solutions and hard for the professional thief to overcome.
Covid-19 has presented businesses with challenges they have never had to face before. With restrictions dragging on and future lockdowns probable, everyone should be earnestly seeking ways to operate in lockdown conditions, reassure customers they can deliver safe products, and provide safe environments for their workers. Many will soon discover their markets have changed too. Forever. There has never been a better time to discover how revolutionary technologies can help.
In essence, the Internet-of-Things can connect virtually anything - from air filters to aeroplanes, from cows to combine harvesters, from printers to petrol tankers - so they can be monitored or operated from anywhere. Improved sensors, new data resources, upgraded software and tumbling costs constantly extend the applications to which it can be put.
The Internet-of-Things is a technology so vast in potential that few businesses appreciate the myriad things it can do. Getting your workers back to work and keeping your customers safe is just scratching the surface, but a very good place to start. You can quickly equip your offices, workshops, warehouses and retail spaces with a range of Covid-19 monitoring and risk minimisation tools using IoT enabled devices.
Like those already being deployed in airports, thermal cameras can look for signs of illness in your staff or visitors. They are particularly suitable for deployment at controlled entrances, but employees are also grateful for the opportunity to self-test and monitor their own health indicators on a daily basis. Temporary mobile cameras can also be set up at store entrances, allowing staff to warn arrivals if they show signs of a fever.
Your existing CCTV systems, indoor or out, can be linked to smart image processing software and adapted to identify any feature of interest - such as social distancing. They can also be used to track anyone who has been put at risk. Medical facilities can use a CCTV system to monitor the safety of visitors and patients or ensure that employees abide by safe hygiene practices, including the proper use of PPE. For example, our cameras can quickly learn to recognise not only if proper face masks and PPE are being worn, but even if they are being worn correctly.
Automating human monitoring eliminates many privacy concerns. As no images actually need to be stored, there are no GDPR issues for anyone to worry about.
A simple social distancing solution can be implemented by issuing every employee or visitor with a wearable device. When two devices come too close, they issue an unobtrusive but audible vibration. IoT connection allows you to go further, identifying workflow bottlenecks and geographical locations that pose social distancing hazards. Even in the absence of infectious hazards, identifying bottlenecks and congestion in your premises is useful information.
Air quality
With a few upgrades, most aircon systems can become an excellent defence against the airborne transmission of bacteria, spores and viruses. This enables you to provide strong reassurance to your staff, to customers and to statutory health and safety authorities. A wide variety of air monitoring and filtration units can be installed, guaranteeing you protection against a whole range of old and new health hazards. With IoT feedback, you can quickly identify any high-risk areas and focus solutions on them if necessary. Smart systems can also make that call for you, scaling up protection when it is needed, and reducing your running costs when it isn't.
Net4 air quality monitoring and filtration solutions are capable of removing almost all bacteria, viruses and particulates (that often carry them) from your indoor environment. The system can also alert you as to the air quality conditions inside the building in real-time, and provide you with data to evaluate the efficiency and cost-effectiveness of your entire HVAC system.
Our rapid back to work solutions are often very simple, but can also be highly sophisticated and effective. In either case, you may need some help to spot your many IoT opportunities. Those opportunities are often huge in scope and can involve multiple contractors delivering a wide range of specialist skills and innovative products. That’s where Net4 comes in. We use our proven partner network to ensure that every one of our customers gets the bespoke solution they need, and we make sure it is up and running as quickly as possible.
Our back to work solutions don’t require you to down tools while they’re implemented, and our specialised experience will help you future-proof your business. Getting back to work is just the start.
