- 1. Monitoring.
- 2. Control.
- 3. Optimization.
- 4. Autonomy.
- 1. Monitoring.
- 2. Optimization (based purely on what is monitored and outside of any actual IoT programme).
- 3. Autonomy.
- 4. Control - Control is last because one should understand the situation before taking action.
And in many cases there are limits (safety, regulatory, privacy, moral, etc.) on what can be controlled. Most of the value is in monitoring and optimization. Some situations never get to control.
When will industries standardize? What are we waiting for?
- Leadership from Apple, Amazon, Google and so forth were cited for consumer.
- Leadership by the main players are often cited in commercial industry. But there is a commercial incentive for non-standard approaches (differentiators) in many situations.
- Cooperation and collaborative openness. There are examples of collaborative standardization. There are ecosystems which makes it easy to exchange, normalize, coordinate, aggregate and analyze data.
- BACnet in buildings.
- Sunspec in renewables.
- MTConnect in factory systems.
- OPC (XML DA) in automation.
- Modbus in industrial. The depth and of Modbus (all the way to sensors), and the breadth of its install base, should not be ignored.
- SNMP in IT.
- RESTful exchange in commerce.
- Any XML in any domain.
- MQ (message queuing) in any domain.
And as a final word. Smart connected things without goals and analytics are fruitless. And goals need not be set in stone, as they are generally informed by analytics. Tactical drives the strategic and vice versa. They are two sides of the same coin. Planning is essential but plans are useless.
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