Energy management reporting in SCADA systems - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to start data collection in the SCADA system.

SCADA systems

scada_system.[1]()

Drag options to blanks, or click blank then click option'

Ainitialize

Bstop_collection

Cstart_collection

Dreset

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'initialize' which only sets up but does not start collection.

Using 'stop_collection' which stops data gathering.

The start_collection() method begins the energy data collection process in the SCADA system.

2fill in blank

medium

Complete the code to generate a daily energy report.

SCADA systems

report = scada_system.generate_[1]_report('daily')

Drag options to blanks, or click blank then click option'

Aenergy

Btemperature

Cmonthly

Dweekly

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'weekly' or 'monthly' which are time periods, not report types.

Choosing 'temperature' which is unrelated to energy reporting.

The generate_energy_report method creates a report focused on energy data.

3fill in blank

hard

Fix the error in the code to export the report as a CSV file.

SCADA systems

scada_system.export_report(report, format=[1])

Drag options to blanks, or click blank then click option'

A'json'

B'csv'

C'xml'

D'txt'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'json' or 'xml' which export in different formats.

Omitting quotes around the format string.

The format must be set to 'csv' to export the report as a CSV file.

4fill in blank

hard

Fill both blanks to filter energy data for the last 7 days and sort by consumption.

SCADA systems

filtered_data = scada_system.data.filter(date [1] last_7_days).sort_by([2])

Drag options to blanks, or click blank then click option'

A>=

Bdate

Cconsumption

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<=' which would filter dates before the last 7 days.

Sorting by 'date' instead of 'consumption'.

The filter uses '>=' to include data from the last 7 days onward, and sorting is done by 'consumption' to order by energy use.

5fill in blank

hard

Fill all three blanks to create a summary dictionary with average, max, and min energy values.

SCADA systems

summary = {'average': data.[1](), 'max': data.[2](), 'min': data.[3]()}

Drag options to blanks, or click blank then click option'

Amean

Bmax

Cmin

Dsum

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'sum' instead of 'mean' for average.

Mixing up max and min methods.

The mean() method calculates the average, max() finds the maximum, and min() finds the minimum energy values.

Practice

1. What is the main purpose of energy management reporting in SCADA systems?

easy

A. To track and display energy usage clearly

B. To control machine speed directly

C. To backup system configurations

D. To monitor network traffic

Solution

1. Step 1: Understand energy management reporting

   Energy management reporting focuses on tracking and showing energy use clearly to help users understand consumption.

2. Step 2: Compare options to purpose

   Options A, B, and D relate to backup, control, and network, which are not the main goals of energy reporting.

3. Final Answer:

   To track and display energy usage clearly -> Option A

4. Quick Check:

   Energy reporting = clear energy tracking [OK]

Hint: Energy reports show usage clearly, not control or backup [OK]

Common Mistakes:

• Confusing reporting with control functions
• Thinking reports manage network or backups
• Ignoring the focus on energy data

2. Which of the following is the correct way to specify a time range for an energy report in a SCADA system configuration?

easy

A. "time-range": 24

B. "timerange": "24hours"

C. "time_range": "last_24_hours"

D. "time range" = "day"

Solution

1. Step 1: Identify correct JSON key and value format

   The correct key uses underscore and quotes: "time_range" and the value is a string like "last_24_hours".

2. Step 2: Check syntax correctness

   Options B, C, and D have syntax errors or wrong key formats (missing quotes, wrong separators).

3. Final Answer:

   "time_range": "last_24_hours" -> Option C

4. Quick Check:

   Correct JSON key and string value = "time_range": "last_24_hours" [OK]

Hint: Use quotes and underscores for JSON keys and string values [OK]

Common Mistakes:

• Missing quotes around keys or values
• Using spaces or dashes in keys incorrectly
• Using numbers without quotes for time ranges

3. Given this SCADA report configuration snippet:

{
  "data_source": "main_meter",
  "metrics": ["voltage", "current"],
  "time_range": "last_1_hour"
}

What data will the report show?

medium

A. Voltage and current data from the main meter for the last 24 hours

B. Voltage and current data from all meters for the last day

C. Only current data from the main meter for the last hour

D. Voltage and current data from the main meter for the last hour

Solution

1. Step 1: Analyze data_source and metrics

   The data_source is "main_meter" and metrics are ["voltage", "current"], so both voltage and current from main_meter are included.

2. Step 2: Check time_range value

   The time_range is "last_1_hour", so data is from the last one hour only.

3. Final Answer:

   Voltage and current data from the main meter for the last hour -> Option D

4. Quick Check:

   Metrics + source + time range match Voltage and current data from the main meter for the last hour [OK]

Hint: Match metrics, source, and time range exactly [OK]

Common Mistakes:

• Confusing time ranges (1 hour vs 24 hours)
• Ignoring the specified data source
• Selecting only one metric instead of both

4. You wrote this report schedule configuration:

{
  "schedule": "daily",
  "time": 25:00
}

What is the problem with this configuration?

medium

A. The time value 25:00 is invalid; hours must be 0-23

B. The schedule key should be "frequency" instead of "schedule"

C. The time value should be a number, not a string

D. The daily schedule is not supported in SCADA systems

Solution

1. Step 1: Check time format validity

   Time values must be in 24-hour format with hours from 0 to 23. 25:00 is invalid.

2. Step 2: Verify other keys and values

   The "schedule" key is valid, and daily schedules are supported. Time should be a string with quotes.

3. Final Answer:

   The time value 25:00 is invalid; hours must be 0-23 -> Option A

4. Quick Check:

   Invalid hour in time = The time value 25:00 is invalid; hours must be 0-23 [OK]

Hint: Use 24-hour time with hours 0-23 only [OK]

Common Mistakes:

• Using hours above 23 in time
• Omitting quotes around time string
• Confusing schedule key names

5. You want to create a weekly energy report that shows total energy consumption and average power for multiple meters, but only for weekdays. Which configuration snippet correctly sets this up?

hard

A. {
"data_source": "meter1,meter2",
"metrics": "total_energy,average_power",
"time_range": "weekdays",
"schedule": "weekly"
}

B. {
"data_source": ["meter1", "meter2"],
"metrics": ["total_energy", "average_power"],
"time_range": "last_7_days",
"filter": "weekdays"
}

C. {
"data_source": ["meter1", "meter2"],
"metrics": ["total_energy", "average_power"],
"time_range": "last_7_days",
"schedule": "weekdays"
}

D. {
"data_source": ["meter1", "meter2"],
"metrics": ["total_energy", "average_power"],
"time_range": "weekdays",
"filter": "last_7_days"
}

Solution

1. Step 1: Check data_source and metrics format

   { "data_source": ["meter1", "meter2"], "metrics": ["total_energy", "average_power"], "time_range": "last_7_days", "filter": "weekdays" } correctly uses a list for multiple meters and metrics, which is the proper format.

2. Step 2: Verify time_range and filter usage

   { "data_source": ["meter1", "meter2"], "metrics": ["total_energy", "average_power"], "time_range": "last_7_days", "filter": "weekdays" } uses "last_7_days" for time_range and "filter": "weekdays" to limit data to weekdays, which matches the requirement.

3. Step 3: Confirm schedule presence

   Schedule is not mandatory here; filtering weekdays within last 7 days is sufficient.

4. Final Answer:

   { "data_source": ["meter1", "meter2"], "metrics": ["total_energy", "average_power"], "time_range": "last_7_days", "filter": "weekdays" } -> Option B

5. Quick Check:

   Lists + last_7_days + weekdays filter = { "data_source": ["meter1", "meter2"], "metrics": ["total_energy", "average_power"], "time_range": "last_7_days", "filter": "weekdays" } [OK]

Hint: Use lists for multiple meters and filter weekdays explicitly [OK]

Common Mistakes:

• Using comma-separated strings instead of lists
• Mixing time_range and filter values incorrectly
• Confusing schedule with filter for weekdays