Abstract: A method for detecting electric meter installation issues includes: determining an initial orientation of an electric meter based on initial acceleration measurements from an accelerometer positioned in the electric meter. Subsequent acceleration measurements from the accelerometer may be continuously monitoring, and a subsequent orientation of the electric meter may be determined based on the subsequent acceleration measurements. A difference between the initial orientation and the subsequent orientation based on the initial acceleration measurements and the subsequent acceleration measurements may be determined and compared to a threshold value. Based on the difference exceeding the threshold value, a notification of a change in orientation of the electric meter may be generated to a head-end system.

Abstract: A method for programming global positioning system (GPS) coordinates for a smart meter includes receiving, by a server remote from the smart meter, an image file of a photograph of the smart meter; recognizing identification information of the smart meter from the image file; extracting GPS coordinates from metadata of the received image file; transmitting the GPS coordinates and instructions to store the GPS coordinates to the smart meter identified by the identification information; and storing, by a processor of the smart meter, the GPS coordinates in a memory of the smart meter.

Abstract: An electric meter that is configured to regenerate meter state data after a power loss includes a memory with at least one volatile and non-volatile memory device and a processor connected to the memory. The processor is configured to retrieve a backup copy of meter state data and a plurality of meter input data samples that were generated after the backup copy of the meter state data and prior to the power loss from a nonvolatile memory device. The processor is configured to regenerate meter state data by updating the backup copy of meter state data with the plurality of meter input data samples to regenerate the meter state data at the time of a final meter input data sample prior to the power loss.

Abstract: A method for detecting electric meter installation issues includes: determining an initial orientation of an electric meter based on initial acceleration measurements from an accelerometer positioned in the electric meter. Subsequent acceleration measurements from the accelerometer may be continuously monitoring, and a subsequent orientation of the electric meter may be determined based on the subsequent acceleration measurements. A difference between the initial orientation and the subsequent orientation based on the initial acceleration measurements and the subsequent acceleration measurements may be determined and compared to a threshold value. Based on the difference exceeding the threshold value, a notification of a change in orientation of the electric meter may be generated to a head-end system.

Abstract: A method for programming global positioning system (GPS) coordinates for a smart meter includes receiving, by a server remote from the smart meter, an image file of a photograph of the smart meter; recognizing identification information of the smart meter from the image file; extracting GPS coordinates from metadata of the received image file; transmitting the GPS coordinates and instructions to store the GPS coordinates to the smart meter identified by the identification information; and storing, by a processor of the smart meter, the GPS coordinates in a memory of the smart meter.

Abstract: An electric meter that is configured to regenerate meter state data after a power loss includes a memory with at least one volatile and non-volatile memory device and a processor connected to the memory. The processor is configured to retrieve a backup copy of meter state data and a plurality of meter input data samples that were generated after the backup copy of the meter state data and prior to the power loss from a nonvolatile memory device. The processor is configured to regenerate meter state data by updating the backup copy of meter state data with the plurality of meter input data samples to regenerate the meter state data at the time of a final meter input data sample prior to the power loss.

Abstract: An electric meter that is configured to regenerate meter state data after a power loss includes a memory with at least one volatile and non-volatile memory device and a processor connected to the memory. The processor is configured to retrieve a backup copy of meter state data and a plurality of meter input data samples that were generated after the backup copy of the meter state data and prior to the power loss from a non-volatile memory device. The processor is configured to regenerate meter state data by updating the backup copy of meter state data with the plurality of meter input data samples to regenerate the meter state data at the time of a final meter input data sample prior to the power loss.

Abstract: An electric meter that is configured to regenerate meter state data after a power loss includes a memory with at least one volatile and non-volatile memory device and a processor connected to the memory. The processor is configured to retrieve a backup copy of meter state data and a plurality of meter input data samples that were generated after the backup copy of the meter state data and prior to the power loss from a non-volatile memory device. The processor is configured to regenerate meter state data by updating the backup copy of meter state data with the plurality of meter input data samples to regenerate the meter state data at the time of a final meter input data sample prior to the power loss.

Abstract: A method for storing information within a utility meter that includes storing a data stream comprising a plurality of data values regarding a metered quantity delivered to a load corresponding to a plurality of time periods, wherein the plurality of data values are stored sequentially based on their corresponding time periods. The method also includes responsive to a power outage, inserting into the data stream a time stamp corresponding to a time period in the plurality of time periods in which the power outage occurred.

Abstract: A method is used in a utility meter having an arm bit and a seal bit. The method includes changing a state of the arm bit to a first state in response to a first set of conditions. The method also includes removing electrical power from the meter. Upon subsequently applying electrical power to the meter, a first signal in a meter processing circuit indicates whether a meter cover is installed or the meter cover is removed. The processing circuit changes the seal bit to a first state responsive to a condition in which the arm bit is in the first state and the first signal indicates that the meter cover is installed. The processing circuit changes the seal bit to a second state responsive to a condition in which the seal bit is in the first state and the first signal indicates that the meter cover is removed.

Abstract: A method is used in a utility meter having an arm bit and a seal bit. The method includes changing a state of the arm bit to a first state in response to a first set of conditions. The method also includes removing electrical power from the meter. Upon subsequently applying electrical power to the meter, a first signal in a meter processing circuit indicates whether a meter cover is installed or the meter cover is removed. The processing circuit changes the seal bit to a first state responsive to a condition in which the arm bit is in the first state and the first signal indicates that the meter cover is installed. The processing circuit changes the seal bit to a second state responsive to a condition in which the seal bit is in the first state and the first signal indicates that the meter cover is removed.

Abstract: A method for storing information within a utility meter that includes storing a data stream comprising a plurality of data values regarding a metered quantity delivered to a load corresponding to a plurality of time periods, wherein the plurality of data values are stored sequentially based on their corresponding time periods. The method also includes responsive to a power outage, inserting into the data stream a time stamp corresponding to a time period in the plurality of time periods in which the power outage occurred.