System and method for connected metering

Abstract

A universal metering cabinet (UMC) apparatus comprises an input/output (I/O) interface configured to receive at least two data streams, each of the at least two data streams received from one of at least two sensors, and each of the at least two data streams having a different connectivity protocol. The UMC further comprises a customizable programmable interface coupled with the I/O interface and configured to convert the connectivity protocol of each of the at least two data streams into a same uniform connectivity protocol. A method comprises receiving, from the UMC, at least one data stream that includes data from at least two sensors, and receiving, from at least one server, data related to an environment around the at least two sensors. The method further comprises performing data cleansing on the data stream and the data to generate validated data and performing prognostic modeling on the validated data.

1 . A universal metering cabinet apparatus comprising:
 at least one input/output (I/O) interface configured to receive at least two data streams, each of the at least two data streams received from one of at least two sensors, and each of the at least two data streams having a different connectivity protocol; and   wherein the at least one input/output (I/O) interface is configured to receive data from the sensors via digital links;   a customizable programmable interface coupled with the at least one I/O interface and configured to:
 transform the data from the sensors into compatible data by data cleansing or data wrangling, and 
 convert the connectivity protocol of each of the at least two data streams into a same uniform connectivity protocol. 
   
     
     
         2 . The universal metering cabinet apparatus of  claim 1 , wherein the at least two sensors are each implemented in a same process. 
     
     
         3 . The universal metering cabinet apparatus of  claim 1 , further comprising a communications unit coupled to the customizable programmable interface and configured to transmit, to a server, a combined data stream comprising the at least two data streams, the combined data stream having the same uniform connectivity protocol. 
     
     
         4 . The universal metering cabinet apparatus of  claim 3 , wherein the communications unit is further configured to transmit the combined data stream as batched data. 
     
     
         5 . The universal metering cabinet apparatus of  claim 1 , wherein the customizable programmable interface is configured to convert the connectivity protocol of each of the received data streams into the same uniform connectivity protocol by performing pulse interpolation using pulses from each of the at least two data streams. 
     
     
         6 . The universal metering cabinet apparatus of  claim 1 , wherein the same connectivity protocol includes at least one of analog I/O, digital I/O, or a universal I/O. 
     
     
         7 . A method comprising:
 receiving, at a universal metering cabinet, at least two data streams, each of the at least two data streams received from one of at least two sensors, and each of the at least two data streams having a different connectivity protocol,   wherein the at least one input/output (I/O) interface is configured to receive data from the sensors via digital links;   transforming the data from the sensors into compatible data by data cleansing or data wrangling, and   converting, using a customizable programmable interface, the connectivity protocol of each of the at least two data streams into a same uniform connectivity protocol.   
     
     
         8 . The method of  claim 7 , wherein the at least two sensors are each implemented in a same process. 
     
     
         9 . The method of  claim 7 , further comprising transmitting, to a server, a combined data stream comprising the at least two data streams, the combined data stream having the same uniform connectivity protocol. 
     
     
         10 . The method of  claim 9 , further comprising transmitting the combined data stream as batched data. 
     
     
         11 . The method of  claim 7 , further comprising performing pulse interpolation using pulses from each of the at least two data streams. 
     
     
         12 . The method of  claim 7 , wherein the same connectivity protocol includes at least one of analog I/O, digital I/O, or a universal I/O. 
     
     
         13 . A method comprising:
 receiving at least one data stream that includes data from at least two sensors;   receiving, from at least one server, data related to an environment around the at least two sensors;   performing data cleansing on the data stream and the data to generate validated data; and   performing prognostic modeling on the validated data wherein performing prognostic modeling comprises:
 determining the existence of an anomaly in the simulated output data and wherein determining the existence of an anomaly in the simulated output data comprises: 
 receiving virtual sensor data from at least one virtual sensor that corresponds to the environment around the at least two sensors; and 
 comparing the simulated output data to the virtual sensor data to determine if the simulated output data is valid. 
   
     
     
         14 . The method of  claim 13 , wherein performing prognostic modeling comprises:
 simulating a metering scenario on a virtual digital twin of one of the at least two sensors to generate simulated output data that corresponds to a potential output of the one of the at least two sensors under the metering scenario.   
     
     
         15 . (canceled) 
     
     
         16 . The method of  claim 13 , wherein the at least one virtual sensor is a virtual model of a physical sensor that replicates functionality of the physical sensor for processes for which there is no physical sensor data. 
     
     
         17 . The method of  claim 13 , wherein performing data cleansing comprises:
 determining a source of the at least one data stream and a source of the data related to the environment around the at least two sensors;   removing duplicate and blank data from the at least one data stream and the data related to the environment around the at least two sensors; and   combining the data from the at least one data stream and the data related to the environment around the at least two sensors into combined data.   
     
     
         18 . The method of  claim 17 , wherein performing data cleansing further comprises:
 interpolating new data from the combined data and adding the new data to the combined data; and   removing outliers and bad results from the combined data to generate validated data.   
     
     
         19 . The method of  claim 18 , wherein interpolating new data includes calculating new fields and re-categorizing data using derivative variables based on the combined data. 
     
     
         20 . The method of  claim 13 , wherein receiving the at least one data stream comprises receiving the at least one data stream from a universal metering cabinet (UMC).