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SCADA systemsdevops~10 mins

Cloud-based SCADA (IIoT) in SCADA systems - Step-by-Step Execution

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Process Flow - Cloud-based SCADA (IIoT)
Sensors collect data
Data sent to Edge Gateway
Edge Gateway preprocesses data
Data transmitted securely to Cloud
Cloud SCADA system stores and analyzes data
Operators access dashboard remotely
Control commands sent back to devices
Devices adjust operations accordingly
Data flows from sensors through gateways to the cloud, where it is stored and analyzed, then operators remotely monitor and control devices.
Execution Sample
SCADA systems
1. Sensor reads temperature
2. Gateway receives data
3. Gateway sends data to cloud
4. Cloud stores and analyzes
5. Operator views dashboard
6. Operator sends control command
This sequence shows how sensor data moves from collection to cloud storage and operator control in a cloud-based SCADA system.
Process Table
StepActionData StateSystem ComponentResult
1Sensor reads temperatureTemperature=75°FSensorData ready
2Gateway receives dataTemperature=75°FEdge GatewayData buffered
3Gateway sends data to cloudTemperature=75°FNetworkData transmitted securely
4Cloud stores and analyzesTemperature=75°FCloud SCADAData stored and alert checked
5Operator views dashboardTemperature=75°FOperator InterfaceCurrent status displayed
6Operator sends control commandCommand=Increase coolingOperator InterfaceCommand sent to cloud
7Cloud forwards commandCommand=Increase coolingCloud SCADACommand dispatched to gateway
8Gateway sends command to deviceCommand=Increase coolingEdge GatewayDevice receives command
9Device adjusts operationCooling increasedDeviceOperation updated
10System monitors new stateTemperature=72°FSensorData updated
11Loop continuesUpdated dataSystemContinuous monitoring
12ExitN/ASystemProcess runs continuously
💡 Cloud-based SCADA runs continuously for real-time monitoring and control
Status Tracker
VariableStartAfter Step 1After Step 4After Step 9Final
TemperatureN/A75°F75°F72°F72°F
CommandNoneNoneNoneIncrease coolingIncrease cooling
Data StateNo dataData readyStoredUpdatedUpdated
Key Moments - 3 Insights
Why does the temperature value stay the same between steps 1 and 4?
Because the sensor reads the temperature once at step 1 and the same data is transmitted and stored without change until the device adjusts operation at step 9.
How does the operator's command reach the device?
The command flows from the operator interface to the cloud SCADA, then to the edge gateway, and finally to the device, as shown in steps 6 to 8.
Why does the system continue running after step 11?
Because cloud-based SCADA systems operate continuously for real-time monitoring and control, looping through data collection and command cycles.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table, what is the temperature value after step 9?
A70°F
B72°F
C75°F
DNone
💡 Hint
Check the 'Temperature' variable in variable_tracker after step 9
At which step does the operator send a control command?
AStep 6
BStep 4
CStep 8
DStep 10
💡 Hint
Look at the 'Action' column in execution_table for operator actions
If the gateway fails to send data to the cloud at step 3, what happens next?
AData is lost and system stops
BOperator receives alert immediately
CGateway retries sending data
DDevice adjusts operation without command
💡 Hint
Consider typical edge gateway behavior in cloud-based SCADA systems for reliable data transmission
Concept Snapshot
Cloud-based SCADA (IIoT) collects sensor data via gateways,
sends it securely to the cloud for storage and analysis,
operators monitor and control devices remotely,
and the system runs continuously for real-time updates.
Full Transcript
In a cloud-based SCADA system for Industrial IoT, sensors first collect data such as temperature. This data is sent to an edge gateway that preprocesses and buffers it. The gateway securely transmits the data to the cloud SCADA system, where it is stored and analyzed. Operators access a remote dashboard to view current system status and send control commands. These commands flow back through the cloud and gateway to the devices, which adjust their operations accordingly. The system continuously monitors updated data, enabling real-time control and monitoring. This flow ensures efficient, remote management of industrial processes.