Sectors
Sensor-led collection for visitor destinations
A frequency set for February is negligent in August. A frequency set for August is expensive for the other ten months.
Seasonal and visitor destinations get more from fill-level sensors than anyone else, because a fixed collection timetable is at its worst when demand swings by an order of magnitude. A frequency set for February is negligent in August; a frequency set for August is expensive for the other ten months.
Sensors remove the choice. The round follows the visitors.
The Fanø problem, which is also the Cornwall problem
Fanø is a Danish island whose population moves between 3,000 and 50,000 across the year. It operates 82 semi-buried containers of up to three cubic metres across 14 recycling sites, most of them near roughly 2,900 holiday cottages. In areas with permanent residents, containers take between two weeks and a month to fill. In the holiday areas the same containers fill anywhere between one day and several weeks depending entirely on the weather.
Before sensors, the authority described emptying as being done by gut feeling, and made the point that a few days of sunshine changed the picture completely. Growth in online shopping and recycling awareness had already pushed volumes about 20% above the level assumed when the collection contract was tendered.
Within two months of installing sensors on all 82 containers, emptyings were down 20% against a target of 25% — and residents stopped encountering overflowing containers. Any British coastal town, national park or lakeside village will recognise every part of that description.
Where it applies
British destinations with the same shape of problem
Coastal & seaside towns
Promenade, beach access and car park bins that fill within hours of a hot Saturday and barely move in November. The overflow photograph on social media is a reputational cost as much as an operational one.
National parks & AONBs
Car parks and honeypot sites at the end of long single-track drives, where a wasted journey costs an hour and the overflow ends up as litter across a protected landscape.
Holiday parks & second-home areas
Fanø's exact case. Communal and semi-buried containers serving cottages occupied intensively for twelve weeks and empty for forty.
Heritage sites & visitor attractions
Demand tracking opening hours, weather and events, on sites where an overflowing bin is directly in the photograph everyone takes.
Market towns & event venues
Market days, festivals, fixtures and bank holidays — predictable spikes that fixed rounds handle by over-provisioning all year.
Marinas, harbours & country parks
Dispersed containers over a wide site with long internal drive times, where the cost of checking a bin often exceeds the cost of emptying it.
In the holiday home areas there are no longer problems with overflowing waste containers.Operations manager — Langelands Forsyning, Denmark, on its island collection network
Rural economics
When the drive costs more than the lift
In a dispersed rural or coastal operation, the expensive part is not emptying the container. It is getting to it.
Langelands Forsyning used to send an employee on a 176 km round trip to inspect containers at 50 recycling sites. It took a day and a half, produced a paper report, and gave a different answer depending on who did the assessment. Only then could a driver plan which containers to empty.
With 220 sensors reporting every six hours, that inspection round disappeared entirely. The utility reduced its fleet by one collection vehicle, and the operations manager delegated round planning to the driver, who now runs it himself.
Any authority servicing bring sites 30 km from the depot has a version of this problem, and the arithmetic works the same way.
- Inspection rounds disappear. Nobody drives to look at a bin again.
- Consistent judgement. A percentage means the same thing regardless of who is on shift.
- Weekend and bank holiday cover planned from predicted fill — Langeland runs an extra Wednesday check specifically to catch containers likely to become critical over the weekend.
- Deep rural connectivity. NB-IoT solved Langeland's data transfer problems across hilly terrain where earlier approaches had struggled.
- Seasonal thresholds. Tighten in season, relax out of it, without rewriting the schedule twice a year.
Questions
Questions from visitor destinations
Our demand changes completely between summer and winter. Can the system cope?
That is the scenario it handles best, and the scenario a fixed timetable handles worst. Rounds are generated from current readings, so they expand and contract with actual demand without anyone rewriting a schedule. Forecasting uses each container's own history, so it learns that a specific beach car park behaves one way in August and another in February. Thresholds and reporting frequency can also be varied seasonally — tighter and more frequent in peak, relaxed off-season to conserve battery.
Will it stop bins overflowing on a hot bank holiday?
It gives you the warning you currently do not have. A container heading for 90% by Saturday afternoon is visible on Friday morning, so it can be picked up before it becomes a photograph. Fanø's stated objective was protecting citizens against overloaded containers, and Langeland reports that overflowing containers in its holiday-home areas are no longer a problem. For known peaks you can raise reporting frequency to as often as 60 readings a day and tighten thresholds for the period.
We service remote sites a long way from the depot. Does that change the case?
It strengthens it considerably. Where the drive dominates the cost, avoiding an unnecessary journey saves far more than avoiding an unnecessary lift. Langeland replaced a 176 km, day-and-a-half manual inspection round with automatic readings every six hours, and took a collection vehicle out of service altogether. If your bring sites are 30 km from the depot, the arithmetic is on your side.
Will sensors work in a rural area with patchy mobile coverage?
Generally yes. NB-IoT is designed for exactly this: it uses existing mobile infrastructure but penetrates far better than ordinary data connections, including below ground level and inside metal enclosures. Langeland's rolling island terrain initially caused problems with data transfer, and NB-IoT was the technology that produced consistent, reliable reporting. We check coverage at your specific locations during the survey rather than assuming it.
We have semi-buried and underground containers. Are those a problem?
No — they are one of the best applications, because there is no way to assess their fill level from ground level at all. Fanø runs 82 semi-buried containers of up to three cubic metres on sensors, and NB-IoT was selected partly for its ability to hold a signal below ground.
Can this help with the litter and fly-tipping that follows an overflowing bin?
Indirectly but meaningfully. A container that has overflowed generates litter across the surrounding area and invites side-waste, and clearing that costs far more than the collection would have. Preventing the overflow prevents most of the consequence. There is also a capacity effect: both Stralsund and Vejle redeployed the hours freed by fewer wasted journeys onto exactly this kind of work — Vejle used it to start collecting waste along roads and at bridges.
Next step
See what your own bin data would say
A 90-day pilot on one round tells you exactly how much of your current collection effort is going to bins that were not full. No commitment beyond the pilot, and you keep the data.