AMI Smart Meter Reading
Meter readers must physically visit and read electricity meters every month. Since there is no IT system, it takes a lot of time and energy to consolidate meter reading data and calculate electricity fees. When meter agents collect electricity fees from users, they typically find that users are not at home or refuse to pay electricity fees because of dissatisfaction. Power distribution companies also frequently encounter such problems. As a result, they have little investment for electrical infrastructure improvement. To address this problem, Huawei provides customers with the agile IoT AMI Smart Meter Reading Solution and the eLTE-IoT AMI Smart Meter Reading Solution.
Agile IoT AMI Smart Meter Reading Solution
Huawei Agile IoT AMI Smart Meter Reading Solution adopts broadband Hi-PLC meter reading technology, which features a data rate 20 times higher than that of narrowband Power Line Communication (PLC) meter reading technology. This solution ensures a 100% meter reading success rate, enables real-time bi-directional communications for meter reading, and meets requirements of the future smart grid for metering data collection and electricity fee control.
This solution provides customers with household or industry smart prepaid electricity meters. Users will receive an email or text message reminder several days before the bill date after installing such meters. Electric utilities can provide customers with detailed electricity bills. Users can pay the bills through rechargeable cards, automatic payment machines, and service centers. This way, electricity fee collection is accelerated.
The Huawei AMI system can also help customers get a clear view of the running status of power distribution equipment, such as transformers, as well as power lines. This way, customers can identify the potential risks of the power grid in time. When the power grid has exceptions, such as transformer overloading, theft of electricity, or electric leakage, alarms are automatically generated. Electric utility workers can quickly locate problems and arrive at the location to fix the problems. The comprehensive analysis helps identify exceptions, so as to effectively reduce line loss and prevent electricity theft.
Ikeja Electric, Nigeria's largest power distribution company, distributes power for more than 530,000 electricity users in three states. The electric IoT adopts Huawei's broadband PLC-IoT technology. The PLC-IoT communication module is embedded into smart metering terminals, ensuring a 100% data collection success rate. All electrical data is collected. The agile controller, capable of managing tens of millions of devices, is used to provide value-added services such as prepayment of electricity fees, line loss analysis, and prevention of electricity theft. This helps Ikeja Electric reduce the line loss rate by 30%, mitigate arrears risks, ensure the integrity of metering data, and accelerate payment collection. With this solution, Ikeja Electric obtains more revenues and improves customer satisfaction.
eLTE-IoT AMI Smart Meter Reading Solution
The Huawei eLTE-IoT solution applies to the AMI meter reading service and certain sensor-related services (such as fault indication) of the electric power industry. Different from the original AMI solution, the eLTE-IoT solution simplifies the AMI structure and requires no deployment of the concentrator interface. The eLTE-IoT, a pipe, directly sends meter data to the front-end processor, reducing system complexity and investment costs.
This solution uses Industrial, Scientific, and Medical (ISM) frequencies. Customers do not need to apply for licensed frequencies. This quickens deployment of the eLTE-IoT network and reduces network construction costs. The eLTE-IoT network provides wide network coverage, with a cell radius of 3 to 5 kilometers, effectively reducing the number of sites, as well as network construction and maintenance costs. The eLTE-IoT network capacity is far greater than that of a traditional network. The network allows for access of up to 1,000 electricity meters from a single cell.
The eLTE-IoT network uses small devices that are easy to deploy. Quick network deployment reduces network construction costs. The star network topology is suitable for more application scenarios. Customers do not need to make additional investments for new network construction and can get long-term benefits.
Tianjin Electric Power directly read industrial and commercial meters using the GPRS network. This resulted in a low meter reading success rate and more information security problems. The company read residents’ meters using narrowband carrier technology, which used a narrow bandwidth and had a low success rate. Tianjin Electric Power was in urgent need of new technologies to support electric IoT development. To address this issue, Tianjin Electric Power constructed an eLTE-IoT private network to remotely read industrial and commercial three-phase meters and residential single-phase meters. Live network verification showed that the meter reading success rate was over 99% for frequent meter reading over 15 minutes. The success rate was higher than 97% for GPRS network-based meter reading. Tianjin Electric Power gained full control of electricity fees and allowed users to pay fees with rechargeable cards.
In Mexico, the penetration rate of smart electricity meters was low and manual meter reading was common. The line loss rate was over 14%. Mexico urgently needed to build an AMI system, ensuring accurate meter reading and line loss reduction. In addition, the transformer capacity of the small transformer district in Mexico was small and the number of users served by a single transformer district was also small. PLC meter reading technology required high network construction and maintenance costs. Mexico PDE adopted Huawei's eLTE-IoT solution and established the AMI meter reading system based on the unlicensed frequency band, 902 MHz. The wireless AMI meter reading system enabled meter reading across different transformer districts, provided large capacity, and ensured a high meter reading success rate. Network construction and O&M costs were reduced, and electric IoT development was accelerated.