Physical Measuring Components

Physical measuring components are associated to the meters installed at service points. Through a device configuration there can be one-to-many measuring components in place at a given point in time. Much like other measuring components these are either scalar or interval and either consumptive or subtractive.

Note: Refer to About Measuring Components for additional information about scalar versus interval and consumptive versus subtractive measuring components.

The base product supports a core set of physical measuring components, as described in the following sections.

Interval Channel

These measuring components represent consumptive data that is recorded on a regular and consistent frequency as defined by the interval size. By definition interval data must fall on a specific interval boundary. For example, a meter that receives data once per hour cannot have a measurement at 1:30. Rather, the data must fall on either 1:00 or 2:00 not in between.

Data for interval channels is expected to be contiguous. However, in situations where it is not, there is no impact to the calculation of those intervals subsequent to the missing intervals. This is because the calculation of each interval is independent to all other intervals.

If there is a gap in the intervals it can be estimated through the periodic estimation process.

Interval Channel - Subtractive

These measuring components have behavior characteristics of both interval channels and registers. Like the interval channel they receive data on a regular and consistent frequency that is expected to be contiguous. Like a register they use a subtractive consumption calculation and provide rollover validation.

Unlike the interval channel when there are missing intervals there is an impact on the calculation of those intervals subsequent to the missing intervals. This is because the calculation of a given interval is always computed by subtracting its reading from the last known prior reading. The following table describes an example of that scenario:

Date/Time

Reading Condition

Reading

Measurement Condition

Usage

01/01/2010 12:00AM

Regular

0

Regular

0 kWh

01/01/2010 01:00AM

Regular

10

Regular

10 kWh

01/01/2010 02:00AM

Regular

20

Regular

10 kWh

01/01/2010 03:00AM

Regular

30

Regular

10 kWh

Missing measurements

1/01/2010 12:00PM

Regular

120

Combined Quantity

90 kWh

Notice that the consumption for the 01/01/2010 12:00PM interval has become overloaded and covers the entire period for which no intervals have had been received. Also take note that the measurement condition is assigned a unique condition of Combined Quantity to signify that the consumption covers more than one interval.

A similar situation can arise when there has been an underestimation of consumption for a particular meter:

Date/Time

Reading Condition

Reading

Measurement Condition

Usage

01/01/2010 12:00AM

Regular

0

Regular

0 kWh

01/01/2010 01:00AM

System Estimate

10

System Estimate

10 kWh

01/01/2010 02:00AM

System Estimate

13

System Estimate

3 kWh

01/01/2010 03:00AM

System Estimate

16

System Estimate

3 kWh

1/01/2010 04:00AM

Regular

40

Estimated

24 kWh

To help avoid these situations where an interval becomes overloaded with usage due to missing or estimated intervals the subtractive interval channel has the ability to initiate the calculation of missing intervals or re-calculation of estimated intervals when processing newly received intervals.

Note: Refer to Understanding Measuring Component Types link for additional information about how to configure subtractive interval measuring component types to perform prior and subsequent estimation.

Register

A register, often referred to as scalar, measuring component is used to represent infrequently received data from a meter. Typically these types of measuring components will only be read once per month aligning to the billing period for the customer.

The physical meter these measuring components represent often have dial readings where there are a finite number of digits that can register the consumption. When the maximum amount has been measured the meter will rollover and start counting once more from zero. To appropriately handle these scenarios this type of measuring component can be defined with a rollover tolerance that allows the system to accurately identify an invalid reading from a standard rollover. For example when a meter has 6 dials (a maximum of 999,999):

  • Going from a reading of 999,990 to 20 would likely be valid and represent consumption of 30.
  • Whereas going from a reading of 999,990 to 800,000 would be an invalid reading since it would represent consumption of 810,000.

Given the infrequent nature of these measuring components they are not eligible for the periodic estimation process.

Register - Auto-Read

An automatically read register processes nearly identical to a register. The key difference between these two types of measuring components is that the automatically read variant is expected to be read on a frequency of at least once per day.

These measuring components are eligible for periodic estimation since the information about their reading schedule allows for missing readings to be detected and estimated.

Given the frequency these meters are read and the nature of subtractive consumption calculation they can be configured to re-estimate any past or future estimates when actual data has been received. The actual readings allow these estimates to be refined since the total consumption for the estimated period can be calculated (current reading - last reading prior to estimation).

Note: Refer to Periodic Estimation for additional functional information about how the periodic estimation can fill in missing reads for both interval and scalar measuring components.