BTU is a Municipal Utility that serves rural and city consumers. Essentially we operate as a municipality, as well as, a cooperative. Our community also accommodates a University with a sister junior college. Between the both of them our population increases by 60,000 students, at least each year. This in return causes what we call student rush.
BTU has completed up to 2,500 service orders in the dashboard in one day.
BTU has reduced our cut for nonpay only cutting up to 150 customers a day that complete the transaction in Compass and of the service order in CIS in less than 15 mins for all the 150 request. The repetitive action of cutting for nonpay and the quick transaction has not precedence… You will get cut.
BTU no longer manually resets demand in the field or through the raw data center. This is completed in a rule that tracks the transaction time stamping the reset of the meter. This is defined by the date the location is billed. Qualifying a new demand for each month of billing.
Implemented rules and virtual meters to create totalized meters for our consumers (primary meter with multiple metering points.)
Created virtual meters to separate the rural territory and city territory outlining the retail consumption. Identifying the peak for the month and evaluating this data to the generated transmitted power. (Retail vs Wholesale and where the power went)
Layer the meter events on a google map to identify the sporadic events that help identify problems on the grid.
Most of KUB’s customers have, or are in the process of getting, smart-meters installed as part of Automated Metering Infrastructure (AMI) deployment, however they have a small number of very large C&I customers that account for the majority of KUB’s revenue (60% of revenue).
Knoxville Utilities Board (KUB) is a multi-commodity utility that services over 450,000 customers in and around Knoxville, TN.
In 2018, KUB discussed with SmartWorks a challenge they were facing.
These sites have Schneider ION 8000 series meters installed that are not part of the AMI network and instead require desktop based software (MV-90) to access and retrieve data. KUB’s existing process was manual, slow, error-prone and required staff with very specialized knowledge. KUB wanted to know if SmartWorks Compass could automate the collection, storage, and analysis of data from these meters.
SmartWorks and KUB initiated a pilot project to access the feasibility and determined that the Schneider ION meters support the Modbus protocol. SmartWorks developed a Modbus library that supports retrieving consumption, operational and instrumentation data from the meter. The library was integrated into our Rules Engine, allowing the data collection process to be fully automated. KUB ran parallel testing, comparing data retrieved by Compass with data from MV-90. Following a successful parallel test phase, they are now importing reads directly from all Schneider ION meters in the field into Compass.
With that, KUB and SmartWorks began a second collaborative automation project for their Mercury Mini-AT Gas Correctors, which are used to normalize gas volume information. During the pilot phase SmartWorks determined that the Mercury devices only support the proprietary Mercury Serial Data protocol, but we were still able to build data collection components into our Rules Engine. KUB have configured a number of these gas correctors in Compass and data is being imported and validated.
In addition to the instrumentation values, Compass is also automatically importing alarm information from the gas corrector devices. SmartWorks has also built custom billing export reports in Compass that translate the gas corrector data into a cumulative interval format required by the billing system.
Having proven SmartWorks Compass as a platform that enables utility IoT, we intend to significantly expand the number of protocols and devices we support.
If your utility has any meters, sensors, or other devices that communicate using the internet rather than your AMI network, you can use SmartWorks Compass to collect and analyze the data they produce, and to better integrate that data into your enterprise.