JDMS
Battery monitoring · Early anomaly warnings
Continuous condition logging for batteries in service.Brings siloed BMS signals from every vendor into one screen and one alarm system.Pinpoints faults down to the cell and module.
01Problem
You can't undo a battery fire
Prevention depends on catching warning signs early.Yet most sites keep no daily operating record to catch them with.
Issue 01
Siloed vendor BMSs
Every vendor and model has its own screen and signal format.There is no single view of warning signs.
Issue 02
No operating history
Daily operating data isn't kept.No way to track degradation or investigate failures.
Issue 03
Reactive by design
Alarms fire just before an incident, or after it.Once a fire starts, there's no recovery.
02Process
From collection to alert
Collects data on top of your existing BMS. Nothing to replace.
- 01
Collect multi-vendor BMS data
No BMS or hardware replacement
- 02
Normalize and unify
Vendor codes mapped to one alarm system
- 03
Detect anomalies
Caught early from trends and deviations
- 04
Locate and alert
Alarms at cell and module level
03Features
Key capabilities
- 01
Remaining capacity tracking
Continuously logs state of charge (SOC) and state of health (SOH).Builds a daily operating history.
- Degradation trends for every battery
- History feeds end-of-life decisions in JD Plan
- 02
Early anomaly warnings
Normalizes each vendor's warning and fault codes into a single alarm system.Manage every site from one screen.
- Multi-vendor signal normalization
- One alarm system, one screen
- 03
Cell- and module-level diagnostics
Locates the source of an anomaly down to the cell and module.Narrows down what field crews need to inspect.
- Cell-to-cell deviation detection
- Module location
- 04
Out-of-range detection
Spots voltage, temperature, and other readings trending out of range.Warns before limits are reached.
- Configurable early-warning bands
- Time to act before an incident
04Deployment
In production on KORAIL station UPS batteries
Applications: rail station UPS, defense drones, industrial forklifts, and golf carts.
- 14,009
- Anomalies caught early
- 62+
- KORAIL stations
- 0
- Incidents
Over 8 months
UPS battery
8 months in commercial operation
05Lifecycle
How data moves between stages
BOL · Deployment
JD Plan
Deployment decision
MOL · Operation
JDMS
Condition logging · Anomaly alerts
EOL · End of life
JD Plan
End-of-life routing
- Input
- On-site BMS signals (multi-vendor)
- Output
- Daily operating history → evidence for JD Plan decisions / retraining data for the life model