Presented at GrafanaCON2024.
https://grafana.com/about/events/grafanacon/2024/
Find original movies through QR codes or links below,
https://www.isas.jaxa.jp/home/slim/SLIM/
https://darts.isas.jaxa.jp/
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Grafana in space: Monitoring Japan's SLIM moon lander in real time
1. NAKAHIRA, Satoshi (ISAS/JAXA)
on behalf of
YOKOTA, Kentaro; ITO, Takahiro; GOTO, Kenta;
AKIZUKI, Yuki; KANAYA, Shuusaku; and
SAWAI, Shujiro
Grafana in space:
Monitoring Japan's SLIM
moon lander
in real time
2. Agenda for today’s talk
• About me
• About ISAS/JAXA
• Overview and Results of SLIM Project
• How Grafana is used in SLIM operations
• Our requirements for new “Quick-Look (QL) System”
• System Overview
• Examples of Grafana dashboards we Created
3. About me
Majoring in Astrophysics (Ph.D.)
Highlight of my work as an astronomer:
Soft X-ray all-sky map with MAXI/SSC.
doi: 10.1093/pasj/psz139
My focus is shifting to engineering,
• Open data archiving of space science observational data.
(DARTS; https://darts.isas.jaxa.jp/)
• Operational systems of space science satellites, probes.
Working on “Science Satellite Operation and Data Archive Unit” at ISAS/JAXA
4. About ISAS/JAXA
Akatsuki: Venus orbiter
HINODE: Solar Telescope KAGUYA: Moon orbiter
Hayabusa2: Sample return
from Asteroids ISAS Mission List
Visit DARTS to get
open science data
https://darts.isas.jaxa.jp/
8. LEV-1
LEV-2 (SORA-Q)
Released two robots just before landing.
Soft landing (the first in Japan).
Pinpoint landing within 100 meters accuracy (the first in the world).
Selfie taken by using LEV-2.
Survive two extreme temperature shifts from night (-170℃) to day
(110℃) it woke up at 2/25 and 3/27.
Highlights of SLIM
10. Classic Quick-Look System and problems
Classic Quick-Look System
• Built as monolithic software.
Not easy to maintaining or adding
features.
• Too many characters!
Not easy to find a certain parameter
• Depends on human familiarity
11. How is telemetry on a scientific probe?
• Voltage
• Current
• Temperature
• Attitude
• Position
• Velocity
• Acceleration
• Status Flags
• Counts
HK (House Keeping) data Science data:
• Image
• Event by event data of photon or particle
• Spectra
• Spectrogram
• Bursted time series data
etc ..
Monitor the health and functionality Usually analyzed on a slower time scale.
Basic metrics, similar to what you find in IoT devices.
(Not focused in the current system.)
12. IoTs:
A small amount of telemetry from many of devices
Probes:
Large number of telemetries from one device.
How is the science probe’s telemetry like
Inspired by IoTs, we integrate Grafana to space probe’s operations
for enhanced Observability.
13. ● communication protocol handling
● Binary to values conversion
C libs for both are
InfluxDB Client
Data receive/resister module
Grafana
InfluxDB
(Python script)
API (python)
REST API
REST API
REST API REST API
red text = newly written, other = OSS or reused software
Wrapped with Cython
configured in a loosely coupled manner based on REST API
System Configuration
Data calculation
Image generation
SLIM control Center
import
Python library for satellite specific process,
14. Grafana in the control room
Inside the control room during the landing on the moon.
Control room and
YouTube audience,
were all looking at
the same dashboard
at the same time.
15. • Over 20 dashboards were constructed for each objective and operational phase.
• Classic QLs still dominant, but Grafana-based system played important role
Examples of SLIM dashboards
18. (panel)
Backend:
Python Fast API endpoint
Offline rendering with
trimesh+pyrender
Dashboards: thrusters and maneuvers
(data source)
Infinity REST API
Volkovlabs Base64
Bar chart
Gauge
Sun-view Earth-view
This video is available on:
19. import "influxdata/influxdb/schema"
schema.fieldKeys(bucket: v.bucket, start:
v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r._value =~ /${filter_string}/ )
filter_string =
variable1-textbox
variable2-query
The "variable" has worked very efficiently for us.
Select the telemetry to be displayed.
Easily locate and display a specific telemetry among thousands.
Dashboards: querying with telemetry name
How it's set up:
20. This video is available on:
Actual data during the Moon landing
Dashboards: Landing
32x
21. 8x
Actual data during the Moon landing
Dashboards: Landing
This video is available on:
22. • We were able to build the entire system quite easily.
• The visualization capabilities were broad, ranging from simple and clear to
detailed graphs. We were also able to create dashboards that were well-
received and visually impressive.
• Editing was straightforward and could be done even during operations.
• The "variable" feature was a game-changer and extremely convenient.
• Being able to call Python from the API meant that we could do anything.
We’re glad to use Grafana.
Conclusion / our impression to Grafana
23. Thank you very much, Grafana community!
Let's go to the next planet
together with JAXA!
