a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} 2x + 2y + z + 4t = 0 nα = θ + 2πk −x + 2y + z + t = −1

Real Time Monitoring & Anomaly Detection

Some processes or products are difficult to monitor directly and in real time.
Nonetheless, with the availability of sensors and Internet of Things (IoT) technologies, it is becoming increasingly feasible to capture large amounts of data to extract valuable information from. This value can largely justify and repay the costs of sensorizing process/product and storage of captured data.

  • Description and benefits
  • Application examples
Reduced KPI analysis time
Real-time data analysis
Automatic identification of anomalies

Application examples of Real Time Monitoring

Industrial
Utilities
Services

Operating logic

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z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα)

The solution for a leading company in the Energy and TelCo sector