Maker Space Monitoring Dashboard

The Maker Space Monitoring Dashboard visualizes indoor environmental data across the floorplan using real-time sensor inputs and spatial heatmaps. Designed for academic and research use, it enables analysis of key parameters such as temperature, humidity, CO2, and thermal comfort (PMV/PPD). Researchers can explore temporal trends, assess comfort conditions, and evaluate indoor air quality to support data-driven insights.

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Jul 20, 2025 at 07:55 β€” Thanh

Presented this as a design reference in our UX for IoT lecture. Nicely done and easy to follow.

Jul 18, 2025 at 21:44 β€” Guest

This was presented in our faculty meeting as a model case. While context-specific, it sparked useful research ideas.

Jul 10, 2025 at 03:03 β€” Guest

Great for benchmarking design strategies. We’re using this to refine our indoor sensing layout.

Jul 06, 2025 at 04:48 β€” Mateo

A good reference for balancing academic data needs with usability. We’ve shared it with several departments.

Jul 05, 2025 at 14:34 β€” Carlos

We used this as a discussion point in our IAQ workshop. Great conversation starter for data ethics and real-world deployment.

Jun 27, 2025 at 12:43 β€” Ravi

Inspired by the clarity and focus of this dashboard. Helped us write our own spec for visual IAQ reports.

Jun 25, 2025 at 08:27 β€” Guest

We shared this tool in our seminar on smart buildings – an excellent educational example of integrated environmental monitoring.

Jun 18, 2025 at 21:51 β€” Kevin

Our university is considering building a similar tool. This dashboard has provided a solid visual and functional baseline.

Jun 15, 2025 at 03:26 β€” Guest

The integration of real-time data and spatial heatmaps makes this a solid learning resource for our students working on environmental monitoring projects.

Jun 11, 2025 at 13:36 β€” Guest

Would love a modular version for our own lab, but even as-is it’s been useful to study and reverse-engineer for learning.

Jun 11, 2025 at 10:04 β€” Putri

Great for benchmarking design strategies. We’re using this to refine our indoor sensing layout.

Jun 08, 2025 at 06:02 β€” Priya

Strong example of environmental HCI. We cited it in our recent academic proposal on smart indoor systems.

Jun 04, 2025 at 20:40 β€” Guest

Love how it combines comfort metrics with environmental factors. Great for teaching students about PMV, PPD, and IAQ relationships.

Jun 02, 2025 at 09:18 β€” Guest

Great for benchmarking design strategies. We’re using this to refine our indoor sensing layout.

Jun 01, 2025 at 16:55 β€” Fatima

A practical demonstration of how spatial sensing can be embedded into research-grade interfaces. Thank you!

May 29, 2025 at 23:51 β€” Mateo

Not directly usable, but the flow of data and the visuals offer a valuable learning experience for our environmental data science course.

May 24, 2025 at 02:33 β€” Aarav

Even though it’s not customizable for other spaces, it’s an excellent reference for building monitoring interface design.

May 18, 2025 at 04:30 β€” Ren

Students found this intuitive and engaging. Definitely helps them grasp IAQ challenges and monitoring strategies.

May 10, 2025 at 16:20 β€” Yui

Really appreciate how clearly the data is presented. While we can't use this dashboard directly, it inspires how we approach our lab’s sensor data mapping.

May 09, 2025 at 23:15 β€” Rachel

Serves as a great model for integrating environmental sensor data in user-friendly interfaces. Looking to replicate the structure for our pilot.

May 03, 2025 at 06:15 β€” Mika

Very good case of localized monitoring that communicates broader design principles for IAQ tools.

May 01, 2025 at 01:01 β€” Guest

A practical demonstration of how spatial sensing can be embedded into research-grade interfaces. Thank you!

Apr 27, 2025 at 09:56 β€” Julien

This dashboard offers great insight into how environmental data can be visualized effectively. It’s a helpful reference for designing our own IAQ research tools.

Apr 10, 2025 at 03:44 β€” Hana

This was presented in our faculty meeting as a model case. While context-specific, it sparked useful research ideas.

Apr 09, 2025 at 04:10 β€” Omar

This example has helped our thesis group plan our data collection and visualization goals. Thanks for sharing it openly.

Apr 08, 2025 at 03:29 β€” Guest

The integration of real-time data and spatial heatmaps makes this a solid learning resource for our students working on environmental monitoring projects.

Apr 04, 2025 at 17:22 β€” Guest

Students found this intuitive and engaging. Definitely helps them grasp IAQ challenges and monitoring strategies.

Apr 01, 2025 at 20:03 β€” Jia

This dashboard sparked a lot of ideas for our environmental engineering curriculum – especially around spatial awareness and sensor placement.

Mar 28, 2025 at 12:06 β€” Sophie

A good reference for balancing academic data needs with usability. We’ve shared it with several departments.

Mar 23, 2025 at 01:08 β€” Putri

Very insightful use of data interpolation. It has given us ideas for a prototype we’re building with our own data.

Mar 21, 2025 at 14:50 β€” Ravi

Fantastic demonstration of how to link sensor data with real-world comfort mapping. We’ll be building something similar for our new research center.

Mar 21, 2025 at 01:23 β€” Guest

Great for benchmarking design strategies. We’re using this to refine our indoor sensing layout.

Mar 18, 2025 at 23:59 β€” Guest

Presented this as a design reference in our UX for IoT lecture. Nicely done and easy to follow.

Mar 18, 2025 at 23:35 β€” Guest

This dashboard offers great insight into how environmental data can be visualized effectively. It’s a helpful reference for designing our own IAQ research tools.

Mar 13, 2025 at 16:47 β€” Guest

Would love a modular version for our own lab, but even as-is it’s been useful to study and reverse-engineer for learning.

Mar 12, 2025 at 09:42 β€” Aarav

Our architecture students reviewed this as part of their sustainable design studio. Strong example of how IAQ integrates with spatial planning.

Mar 02, 2025 at 14:11 β€” Siti

We're referencing this design in our proposal for a new lab monitoring setup. Very informative example, even if we can't deploy it as-is.

Mar 01, 2025 at 10:15 β€” Wei

Not something we can deploy, but certainly something we can learn from. Great integration of spatial logic and sensor feedback.

Feb 28, 2025 at 21:21 β€” Guest

Your visualization of temperature and PMV across space is one of the clearest we’ve seen. It’s become part of our teaching toolkit.

Feb 21, 2025 at 15:56 β€” Emily

A practical demonstration of how spatial sensing can be embedded into research-grade interfaces. Thank you!

Feb 20, 2025 at 16:11 β€” Sophie

Even if not plug-and-play, it’s helping shape our thinking on IAQ data reporting and visualization.

Feb 08, 2025 at 02:00 β€” Nico

The best example we’ve found for combining comfort models and indoor mapping. Very helpful in shaping our research dashboard.

Feb 05, 2025 at 22:59 β€” Guest

Clear, well-structured, and informative. We discussed this in a panel on educational tools for environmental sensing.

Jan 28, 2025 at 06:21 β€” Guest

Though tailored to a specific space, this dashboard is an informative case study in IAQ visualization for academic environments.

Jan 19, 2025 at 17:12 β€” Guest

Our architecture students reviewed this as part of their sustainable design studio. Strong example of how IAQ integrates with spatial planning.

Jan 11, 2025 at 23:59 β€” Mateo

Presented this as a design reference in our UX for IoT lecture. Nicely done and easy to follow.

Jan 08, 2025 at 01:32 β€” Guest

Even without direct application, this is a strong framework for understanding the fundamentals of IAQ dashboards.

Jan 05, 2025 at 02:20 β€” Guest

Students found this intuitive and engaging. Definitely helps them grasp IAQ challenges and monitoring strategies.

Jan 02, 2025 at 05:17 β€” Guest

Clean interface and meaningful visuals. Useful inspiration for our building analytics coursework.

Jan 02, 2025 at 04:25 β€” Guest

A practical demonstration of how spatial sensing can be embedded into research-grade interfaces. Thank you!

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