Ongoing maintenance presents opportunities to start digitally capturing valuable estates data that could otherwise be lost, so it is important to take advantage of these more incremental activities. Digitally capturing these works can provide pointers to the wider questions about how models or other media including scan data and panoramic photography can supplement existing systems.
– Robert Klaschka: https://www.linkedin.com/posts/robertklaschka_assetmanagement-facilitiesmanagement-collaboration-activity-6956197626228678656-0HCU
Thinking alike again. Reminds me of old times, Robert.
The TGN rigs I propose:
- TGN developer spec: https://tangerinefocus.com
- TGN demo videos: YouTube playlist
(or IFRs, Interpretive Focus Rigs, whatever we call them) include multiple I/O nodes and can act in this way exactly, providing a coherent facility for capturing data from many sources and presenting them together in ways that solve THIS problem: the requirement in all modeled environments for a standardizable FORM of ENGAGEMENT with models that builds more thorough understanding faster, that draws focused attention to things that need to be understood, and provides both CLARITY and CONTROL over communication about very complex situations in very complex models.
Some will want to try to patent TGN-like features or otherwise silo them in their corporate apps ecosystem, so how do we convince them otherwise?
1. The weaker answer to that is that the TGN spec has been in the public domain for a long time, so that might complicate their patenting efforts.
2. The stronger answer is that software development corporations AND open source organizations really do, all, mutually benefit from from a community-managed shared approach to solving THIS problem:
-- the requirement in all modeled environments for a standardizable FORM of ENGAGEMENT with models that builds more thorough understanding faster, that draws focused attention to things that need to be understood, and provides both CLARITY and CONTROL over communication about very complex situations in very complex models.
These concepts are common to all AEC and GIS domains, professions, and trades. ESRI users (just to give an example) work mostly at the GIS, map, terrain, and urban scale. Other domains work at the scale of the bridge, the building, the plant. But the requirement for focused attention, understanding, clarity, communication, are common to all. And the domains overlap, which is why users are sharing models across domains so often.
So as the models move, from one domain and platform to another, the attention focusing rigs, the clarifying communicative rigs that are (well, that should be) rigging the models for insight, these rigs should move with the models as they flow from one platform to another and back.
This is a perfect opportunity for every software industry player to pitch in and agree to shared development of a standard core feature set for Interpretive Focus Rigs (IFRs, or TGNs, or whatever we call them).
Whatever we call them, the rigs should sail WITH the models, wherever they go, from one platform to another and back.
There ARE things that should be siloed. IFR/TGN is not one of those things.
The IFR/TGN core should be an open, community/consortium-managed standard. There are quite a few organizations/companies now that could be organized into such a standards-driving machine.
But finally, IFR/TGN is not ONLY about those standards. I have a short article here talking about the unlimited sky, high innovation ceiling, for domain, app, platform and industry-unique IFR/TGN feature additions and extensions that are developed above and beyond the standard feature core: https://tangerinefocus.com/2022/07/11/tgn-portability-openness-standardization-and-beyond-standard-deployment/
3. And in fact, and this is the STRONGEST argument: it is the STANDARD SHARED CORE that DOES THE MOST in fact, to make those unique, beyond-core, innovations possible. Because, once some of the significant players in the industry have this engine of Interpretive Focus Rigs running in their platforms, with their users sharing the rigs with each other, crossing platform boundaries, well, then we all have a whole new playing field for innovation.

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