3d (edited) β’ General discussion
πππ πππππ πππππ πβπ: πππ ππππ ππππππππ πππ ππππππππ ππππ πππππππ.
πππ πππππ πππππ πβπ: πππ ππππ ππππππππ πππ ππππππππ ππππ πππππππ.
Most jobsites do not have a data problem.
They have a translation problem.
Every OEM portal, every telematics box, every spreadsheet speaks a different dialect.
ISO 15143 is the fix. Not another dashboard. A common language.
Here is the family, in plain field terms:
Part 1 is the architecture. How worksite data moves between the contractor, the site system, the machine, and the measuring equipment.
Part 2 is the data dictionary. Same words, same definitions, same attributes. No more guessing what a field means.
Part 3 is AEMP 2.0. Mixed-fleet telematics, one API. Location, hours, idle, fuel, distance, payload, and machine health, across brands.
Part 4 is worksite topographical data. The site itself. A common design model, standardized RTK correction and localization, and project, as-built, and production data exchanged between servers, regardless of vendor.
Part 5 is the one to watch. It is still being shaped, and it points to where autonomy and the next worksite exchanges are heading.
Why this is a game changer:
Equipment and tools report once, in the same format.
Site logistics stops being a phone call. You know where the machine is, what it did, and what it needs next.
Site monitoring stops being end-of-week reconciliation. As-built and production come back against the design while you can still act on it.
Project management gets real numbers. Utilization, cost per hour, and cost per unit of work, not gut feel.
ERP gets the same truth. Hours, fuel, payload, and location land against the right asset, the right job, and the right cost code, without retyping it three times.
That is data intelligence. That is interoperability.
AI only helps when the data underneath it can be trusted.
If the data is fragmented, AI just automates the confusion faster.
If the data is standardized, AI can actually see the job.
Start small. That is my field rule.
Pick one mixed fleet. Pick one site. Pick one feed, Part 3, and prove it lands clean in your ERP.
Then add Part 4, design and as-built, and prove the site model and the machine are telling the same story.
Do not rip and replace everything on day one.
Not demos. Decisions.
What process, system or workflow are you trying to solve on a real job right now?
Where does your equipment data break today? At the machine, at the portal, or at the ERP?
1
0 comments
πππ πππππ πππππ πβπ: πππ ππππ ππππππππ πππ ππππππππ ππππ πππππππ.
powered by
skool.com/ai-in-construction-8633
Practical AI workflows, prompts, and honest lessons for contractors and construction pros. Bring a real bottleneck. Leave with something you can use.
Suggested communities
Powered by