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Drone hovering over a queue of concrete mixer trucks on a construction site, tracking each with blue laser lines
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Type 03 · Concrete management

Every mixer truck on a clock the drone keeps

Concrete has a shelf life, and the city puts a limit on how long a loaded truck may sit on site. The drone stamps every arrival, times every load, and when a truck passes the window it sends the alert: this one goes back, it does not go in the structure.

The watch list

Eight things tracked per load

01

Gate arrival stamp

Plate and drum read at the gate, arrival time written the moment the truck crosses the line

02

Dwell time on site

A live clock per truck from arrival to departure, against the city's allowed limit

03

Batch-to-discharge

Time since batching at the plant, the clock the concrete actually cares about

04

Drum revolutions

Rotation count tallied from the air and checked against the mix limit

05

Queue depth

How many trucks are waiting and how long the line has been growing

06

Idle vs discharging

Whether a truck is actually pouring or just holding a load in the sun

07

Departure stamp

Exit time recorded so every load has a closed, auditable window

08

Reject alert

Automatic notice to management naming the truck that has to be turned back

Gate · arrival

The clock starts where the truck crosses the line

Concrete mixer truck entering a site gate, scanned by a drone with blue laser lines and a timestamp on the ground
Truck MX-114
Arrival 20:37:42
Tracking

The drone reads the plate and the drum number at the gate and writes an arrival stamp that nobody has to remember to record. From that second the load has two running clocks: time on site, and time since it was batched at the plant.

  • IdentificationPlate, drum number and haulier livery
  • Arrival accuracy± 2 seconds on the gate crossing
  • Ticket matchLoad linked to its delivery ticket and mix design
  • Clocks startedOn-site dwell · batch-to-discharge
  • CoverageContinuous during the pour window, no manual gate log

Live board

One line per truck, one limit per column

TruckSince batchingOn siteDrum revsStatus
MX-1140:380:12148 Within limit
MX-1211:040:29212 Within limit
MX-1071:220:44254 Approaching limit
MX-0981:411:06288 Send back
MX-1330:190:0496 Within limit

Limits shown are the common defaults: 90 minutes batch-to-discharge, 300 drum revolutions, and the site's permitted dwell window. The project specification and the city's permit conditions override every figure here.

Alert

Past the window, the load is a liability

Queue of mixer trucks at night, one outlined in red as over its time limit while the drone tracks the rest in blue
MX-098 1 h 41 m since batch
Action Reject load
Tracking

Concrete that sits too long stiffens, loses slump and gets watered on site to make it pumpable — which is exactly how a specified 4000 psi mix ends up as something weaker and permanently inside the structure. When a truck crosses its limit the drone raises the alert by name, so management turns it around instead of arguing about it after the cylinders break low.

  • Batch-to-discharge limit90 minutes, or 60 in hot weather
  • Drum revolution limit300 total revolutions
  • Site dwell limitPer the city permit condition for the pour
  • RetemperingAdding water on site is a flagged event, not a fix
  • Alert routingSuperintendent, project manager and concrete foreman only
  • EscalationInternal daily roll-up to management, per haulier

Discharge

Idling and pouring are not the same minute

The drone separates a truck that is discharging from one that is simply holding a load, so waiting time is attributed honestly. That distinction is what turns the record into a demurrage conversation with facts, and what tells the plant to slow the next dispatch before the queue builds again.

  • Discharge detectedChute down, drum reversed, material flowing
  • Typical discharge8–12 minutes per truck
  • Waiting time attributedSite queue vs plant over-dispatch
  • Pour rateCubic yards per hour, live against the plan
  • Cold joint riskFlagged when the gap between loads runs long
Concrete discharging down a chute from a mixer drum with blue laser scanning lines from a hovering drone
State Discharging
Elapsed 9 m 12 s
Tracking
Blue logistics dashboard of a construction site with tracked truck icons and one red alert

Deliverable

A closed record for every cubic yard that entered the building

Live alerts

A named push to management the moment a load passes its limit, with the truck, the elapsed time and the recommendation to reject.

Pour log

Arrival, discharge and departure stamps per truck, with dwell time, revolutions and queue depth across the whole pour.

Haulier scorecard

Late loads, over-limit loads and waiting time by supplier and by day — the evidence behind the next dispatch conversation.

What it costs when nobody's watching

A dwell argument without timestamps becomes a dispute with lawyers.

$60.1M · 12.5 months

average U.S. construction dispute value and time to resolve.

Source: Arcadis, 2025 Global Construction Disputes Report

#1 root cause

failure to properly understand or comply with contract obligations — the most common dispute cause Arcadis records, year after year.

Source: Arcadis, 2025 Global Construction Disputes Report

52%

of total project cost overrun traces back to rework — including rejected and ruined pours.

Source: CII, analysis of 150+ industrial construction projects

~$65B / yr

U.S. construction rework cost, roughly 5% of total construction spend.

Source: Autodesk / FMI, Harnessing the Data Advantage in Construction (2020/2022)

~$31B / yr

rework tied to bad, missing or wrong data — including undocumented batch and arrival times.

Source: PlanGrid / FMI, Construction Disconnected (2018)

$15.8B / yr

industry cost of poor data handoff between systems, suppliers and the field.

Source: NIST GCR 04-867 / NIBS (2004) — historical baseline

Government-grade sources (BLS, OSHA, NIST/NIBS) are cited as published. Industry research (Arcadis, FMI/Autodesk, CII, NSC) is survey- and estimate-based. Vendor case studies and vendor pricing pages are labeled where used and should be read as documented examples, not industry averages.

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