Built for hiking, overlanding, camping, and climbing teams
YuanShan Offline Field Safety Coordination
Safety is not a chat feature. It is the team’s situational layer.
In no-signal terrain, weak GNSS conditions, and complex topography, YuanShan keeps showing direction, distance, team status, and SOS feedback. It is not a generic offline messenger. It is a field safety system built around awareness, trusted positioning, offline maps, and high-priority alerts.
- Offline maps
- LoRa primary link
- Radar awareness
- SOS / ACK
Field Brief
Pre-departure checks
See maps, radios, battery, team sync, and route thresholds in one place before you move.
Field Brief
Radar awareness
The default screen is direction, distance, last-heard state, alerts, and link quality, not a chat inbox.
Field Brief
Offline maps
Show teammates, tracks, routes, elevation context, and the last trusted position for real field decisions.
Why it is not a generic offline messenger
Safety judgment comes before shiny features
YuanShan is not about sending messages. It is about letting a leader, sweeper, or teammate answer: where is everyone, is the link still alive, is the data trustworthy, and do we need to act right now?
01
Pre-departure checks
See maps, radios, battery, team sync, and route thresholds in one place before you move.
02
Radar awareness
The default screen is direction, distance, last-heard state, alerts, and link quality, not a chat inbox.
03
Offline maps
Show teammates, tracks, routes, elevation context, and the last trusted position for real field decisions.
04
SOS / ACK
Raise an emergency with minimal taps, then keep retransmission, acknowledgment, and cancellation visible.
Product position
The phone is the interface. External radio is the safety link.
Use cases
Built around the real operating loop of small field teams
Before departure
Download maps, create the team, pair LoRa hardware, and verify channel sync and readiness.
While moving
Read direction, distance, last heartbeat, and alert state quickly, then switch between radar and map.
Drift and separation
When someone drifts off route, stops moving, or falls outside team thresholds, alerts enter a graded response loop.
Workflow
From pre-trip checks to live awareness and post-trip review
Step 01
Prepare offline maps
Download the target region so terrain and routes remain available without internet.
Step 02
Pair LoRa hardware
Keep the phone focused on interaction while the external radio carries the long-range safety path.
Step 03
Sync team and channel
Confirm team IDs, channel consistency, and the current device state.
Step 04
Enter the radar home
During movement, see direction, distance, last-heard state, and risk before anything else.
Content assets
Topic pages prepared for search engines and AI retrieval
Guide
What offline location sharing means for field teams
Explains the core problem and why simple offline messaging is not enough for safety work.
Feature
Offline map capabilities
Covers vector map packs, track overlays, last trusted position, and elevation context.
Feature
LoRa primary-link design
Shows how the phone and the external Sub-GHz node split responsibilities on the safety path.
FAQ
What YuanShan is designed to solve
What is YuanShan?
YuanShan is an offline safety coordination app for outdoor teams. Its core job is not offline chat. It is direction, distance, status, and alert judgment.
How is it different from a generic offline communication app?
Radar awareness and safety state are the default home screen, with explicit confidence, last-heard timing, link quality, and alert acknowledgment.
Why emphasize a LoRa primary link?
Phone-only proximity links are useful for discovery and fallback, but not as the primary safety path for mountain terrain and shielding.
What role do offline maps play?
Offline maps are not decoration. They are used to judge route position, drift, terrain context, and the last trusted location.
What alerts are supported?
Route deviation, excessive team separation, extended no-motion, abnormal elevation change, and manual SOS.
Why does the site publish llms.txt?
It helps AI retrieval systems understand the product scope, important pages, and supported topics quickly.
Next step