Long-range DTSS Inspection#

A figure-based aerial-robot design brief for long-endurance visual inspection of a deep tunnel sewerage network.

See Text Problem Catalog for the text family index.

Quick Facts#

Field

Value

Problem ID

ideation_long_range_dtss_inspection

Problem Family

text

Implementation

TextProblem

Capabilities

citation-backed, prompt-packet, statement-markdown

Study Suitability

human-subjects-ready, ideation-friendly

Tags

text, human-subjects, ideation, aerial-robotics, inspection, infrastructure

Taxonomy#

Formulation

textual_prompt

Is Dynamic

no

Orientation

engineering_practical

Objective Mode

qualitative

Constraint Nature

embedded-constraints

Tags

text, human-subjects, ideation, aerial-robotics, inspection, infrastructure

Deliverable Type

concepts

Timebox Hint (Minutes)

45

Participants

individual

Evaluation Mode

idea_generation

Statement#

Aerial robots as ideal platforms:

  • Deployment and retrieval simplicity

  • Challenging terrain

The task demands long endurance of more than 30 mins and a 3 m/s inspection pace. The brief also calls for:

  • greater than 30 m autonomous ascend and descend

  • 5 km autonomous navigation between adjacent shaft access points

  • 360 degree visual inspection of the tunnel inner surface

Design Specification:

  • Efficiency

  • Battery

  • operate for more than 30 mins

  • Sensing

  • collision avoidance

  • localization

  • Challenge

  • SWaP

  • size: less than 1.2 m radius

  • power: minimal to last 30 mins

  • VUCA

  • dark, featureless

Prompt Profile#

Field

Value

Deliverable Type

concepts

Timebox Hint (Minutes)

45

Participants

individual

Evaluation Mode

idea_generation

Sources#

Key

Summary

tan_foong_holtta_otto_2022

Tan, Foong, and Holtta-Otto (2022). Aerial Robot Design Principles in Creative Idea Generation and Evolution. ASME IDETC/CIE 2022, DETC2022-90024.

Raw Citation Records#

Tan, Chee How, Shaohui Foong, and Katja Holtta-Otto (2022). Aerial Robot Design Principles in Creative Idea Generation and Evolution. ASME IDETC/CIE 2022, DETC2022-90024.