Methods, devices, and systems for prioritizing mobile network trouble tickets based on customer impact
US-10636006-B2 · Apr 28, 2020 · US
US11432170B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11432170-B1 |
| Application number | US-202117228123-A |
| Country | US |
| Kind code | B1 |
| Filing date | Apr 12, 2021 |
| Priority date | Apr 12, 2021 |
| Publication date | Aug 30, 2022 |
| Grant date | Aug 30, 2022 |
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Aspects of the subject disclosure may include, for example, detecting an interruption of a supply of operating power to a cell site of a cellular communication network, estimating an estimated time to restoration (ETR) of the supply of operating power to the cell site, wherein the estimating is based on information of an operator of the cellular communication network, determining, based in part on the ETR, to dispatch a portable generator to the cell site to provide a new supply of operating power to the cell site, and initiating a communication to dispatch the portable generator. Other embodiments are disclosed.
Opening claim text (preview).
What is claimed is: 1. A device, comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: detecting an interruption of a supply of operating power to a cell site of a cellular communication network; estimating an estimated time to restoration (ETR) of the supply of operating power to the cell site, wherein the estimating is based on information of an operator of the cellular communication network; determining, based in part on the ETR, to dispatch a portable generator to the cell site to provide a new supply of operating power to the cell site; and initiating a communication to dispatch the portable generator. 2. The device of claim 1 , wherein the operations further comprise: determining, by an operator of the cellular communication network, a number of cellular devices attaching to a cellular communication network; detecting the interruption in supply of operating power to the cell site; and detecting size, scope and severity of the interruption in supply of operating power based on the number of cellular devices attaching to the cellular communication network exceeding a threshold. 3. The device of claim 2 , wherein the operations further comprise: identifying a location of the cell site based on location of the cellular devices attaching to the cellular communication network. 4. The device of claim 2 , wherein the operations further comprise: determining respective attachment times for the cellular devices attaching to the cellular communication network; determining respective locations of the cellular devices attaching to the cellular communication network; and detecting characteristics of the interruption in supply of operating power to the cell site based on the respective attachment times and the respective locations of the cellular devices. 5. The device of claim 1 , wherein the operations further comprise: receiving technology information about technical features of the cell site, the technology information including at least information about a type of radio communication technology used by the cell site; and estimating the ETR based on the technology information. 6. The device of claim 5 , wherein the operations further comprise: receiving location information about a physical location of the cell site, the location information including at least a street address of the cell site and a physical elevation of the cell site; and estimating the ETR based on the location information. 7. The device of claim 6 , wherein the operations further comprise: receiving utility company information about an electric power utility which provides the supply of operating power to the cell site, the utility company information including at least an identity of the electric power utility and information about a relative number of service and maintenance employees of the electric power utility; and estimating the ETR based on the utility company information. 8. The device of claim 1 , wherein the operations further comprise: receiving, from an electric power utility which provides the supply of operating power to the cell site, a power provider estimated time to restoration; and determining to dispatch a portable generator to the cell site based in part on the power provider estimated time to restoration. 9. The device of claim 1 , wherein the operations further comprise: receiving an alarm from the cell site; and detecting the interruption in supply of operating power to the cell site based on the alarm. 10. The device of claim 1 , wherein the operations further comprise: receiving a quantified estimate of customer impact of the interruption in supply of operating power to the cell site; and determining to dispatch a portable generator to the cell site based in part on the quantified estimate of customer impact. 11. The device of claim 1 , wherein the initiating a communication to dispatch the portable generator comprises: communicating a dispatch request, the dispatch request comprising an identification of the cell site affected by the interruption of supply of operating power and a timing at which the portable generator should be dispatched. 12. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: detecting, by an operator of a cellular communication network, a number of cellular devices attaching to a cellular communication network; identifying respective locations of the cellular devices; identifying time of attachment of the cellular devices attaching to the cellular communication network; based on the number of cellular devices, the respective locations of the cellular devices and the time of attachment of the cellular devices, identifying an interruption of a supply of operating power to a cell site of the cellular communication network; estimating an estimated time to restoration (ETR) of the supply of operating power to the cell site, wherein the estimating is based on information about communication technology of the cell site; determining, based in part on the ETR, to dispatch a portable generator to the cell site to provide a new supply of operating power to the cell site; and initiating a communication to dispatch the portable generator. 13. The non-transitory machine-readable medium of claim 12 , wherein the estimating the ETR comprises: estimating the ETR in a machine learning model; and providing the ETR to a decision engine, wherein the decision engine is configured to determine to dispatch the portable generator. 14. The non-transitory machine-readable medium of claim 13 , wherein the operations further comprise: training a neural network as the machine learning model, wherein the training comprises providing to the neural network one or more of technology information, utility company information and location information. 15. The non-transitory machine-readable medium of claim 13 , wherein the operations further comprise: determining, by the decision engine, to defer dispatching the portable generator to the cell site for predetermined time. 16. The non-transitory machine-readable medium of claim 13 , wherein the operations further comprise: generating a trouble ticket, wherein the generating is in response to the identifying an interruption of a supply of operating power to a cell site; and updating the trouble ticket based on a decision of the decision engine. 17. The non-transitory machine-readable medium of claim 12 , wherein the operations further comprise: determining a type of radio communication technology used by the cell site; determining a type of backhaul communication for backhaul data used by the cell site; and estimating the ETR based on the type of radio communication technology or the type of backhaul communication for backhaul data, or both. 18. A method, comprising: training, by a processing system including a processor, a machine learning model with training data, the training data based on information about communication technology used by a cell site of a cellular communication network and utility company information about an electric power utility which provides a supply of operating power to the cell site; receiving, by the processing system, an indication of an interruption of the supply of operating power to the cell site; receiving,
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