In the world of infrastructure projects — from bullet trains and metros to highways and airports — vendors often promise transformation through technology. But there's a crucial difference between simply digitizing operations and truly digitalizing them. At Aether, we believe that success comes not from installing sensors, but from reshaping behaviors, preventing losses, and optimizing operations. Here's the story of how we make that happen.
At Aether, we go further. Our goal isn't just to collect data; it's to create sustainable, accountable, and optimized systems. We partner with field teams, not just to monitor but to manage. We build workflows that prevent tampering, engage site teams, and enable decisions based on verified data. Even if only 85% of assets report, the data is trustworthy, actionable, and backed by process rigor. That’s digitalization: embedding digital systems into workflows, decision-making, and culture.
We break digitalization into three core objectives:
Digitalization isn’t just technical — it’s behavioral. Operators and vendors typically follow six stages of resistance: Ignore: Business as usual continues; draining is rampant. Discredit: When alerts are shared, data is aggressively challenged. Tamper: Devices are unplugged or blocked to stop reporting. Hack: Operators drain small quantities, hide theft in idle times. Delay: Assets are kept offline to salvage value before compliance. Accept/Exit: Eventually, either the operator adapts or leaves. At every stage of this journey, the data speaks — but only if you know how to read it. The behavioral resistance of operators leaves behind patterns, and these patterns manifest as different types of draining. For instance, in the early stages, we often detect large and obvious drainings tied to refueling events — we call this R&D Draining. As scrutiny increases, behaviors evolve. Operators start draining in small amounts while the engine is running or during operational cycles, which we only detect through meticulous manual audits. This is what we categorize as Manual Draining. By Stage 3, as hardware tampering rises, more deceptive tactics appear — such as return pipe draining, where excess fuel is redirected mid-operation into jerry cans. It bypasses automated detection, revealing the lengths to which some will go to maintain their gains. And when none of these can be confirmed definitively, yet the consumption patterns defy operational norms, we flag these as Suspicious Draining. These signal unresolved anomalies requiring further human verification. Not all drainings, however, are malicious. Planned Draining events, initiated by the client's own P&M team for testing or maintenance, are communicated in advance and excluded from any penalty or analysis of pilferage. Thus, draining types are not just labels — they are reflections of behavioral adaptation. Each type signals a deeper stage in the resistance journey, and our ability to detect and respond to them proves the difference between passive digitization and active digitalization.
Every challenge teaches us something. When operators tamper, we identify failure points and close them. When site teams fall short, we support them. When systems are bypassed, we create new detection mechanisms. We treat digitalization as a living system — not a one-time install, but a continuous evolution of technology, policy, and people. Conclusion: The Future Is Digitalization Digitization may give you data. But digitalization gives you control, efficiency, and results. It’s not just about installing IoT. It’s about integrating technology into workflows, holding stakeholders accountable, and building systems that grow stronger with use. At Aether, we take ownership of that outcome. Because transformation isn’t just about dashboards — it’s about discipline.
For tanks with a constant cross-sectional width and height, two points suffice – full and empty. Such shapes include a perfectly rectangular tank (with no roundings) and a vertical cylinder (not horizontal!).
The fuel tanks must be calibrated every five years. A 3D laser searching and data analysis method can be used to calibrate the fuel tank.