Solution · 07
デジタルツインとシミュレーション
現実を映し、結果を予測し、より速く行動します。
システムのリアルタイムなデジタル複製を作り、運用をシミュレーション、予測、最適化します。
PHYSICAL
DIGITAL TWIN
1:1
Live mirror of physical state
<1 s
State sync latency
∞
What-if simulations
Same
Engine for twin and ops
Why this matters
可視化から予測的、自律的な運用へ
デジタルツインには継続的な同期とインテリジェンスが必要です。MonkDB はライブな状態、予測シミュレーション、実行を同じエンジンから可能にします。
映すだけでなく、行動するツイン
What you get
What MonkDB makes possible for デジタルツインとシミュレーション
0101 / 04
Real-time data synchronization from physical systems
Sub-millisecond ingest from sensors and control systems.
0202 / 04
Continuous state updates
Always-current digital model reflecting the physical reality.
0303 / 04
Predictive simulation models
Run what-if scenarios on live state inside the engine.
0404 / 04
Immediate execution based on simulated outcomes
Apply corrective actions back to the physical system instantly.
How it works
Three steps, one continuous loop
MIRROR
1Continuous state sync
Physical asset telemetry updates the digital twin in flight, not on schedule.
SIMULATE
2Run what-ifs on live state
Predictive simulations execute on the current twin without snapshot exports.
ACT
3Apply the best outcome
Simulation result triggers a control action on the physical system.
Our refinery twin now updates every second from 9,000 sensors. Simulations that took a week of batch ETL now run on live state in minutes.
Outcome in numbers
- 9 KSensors synced live
- 1 sState sync interval
- 5×Faster simulation cycles
Other solutions