Abstract: A network edge device includes a local network interface, a remote network interface, a memory and a processor. The local network interface receives data from local data sources over a local network. The remote network interface communicates with a remote computer over a remote network. The processor receives a filter parameter set for each local data source from the remote computer. Each filter parameter set includes a data rate parameter and at least one of a minimum threshold parameter, a maximum threshold parameter or a change-of-value (COV) parameter. For each local data source, the processor compare each data value received from the local data source to at least one of the filter parameters, and sends the data value and subsequent data values to the remote computer at a data rate that is based on the data rate parameter.

Abstract: A network edge device includes a local network interface, a remote network interface, a memory and a processor. The local network interface receives data from local data sources over a local network. The remote network interface communicates with a remote computer over a remote network. The processor receives a filter parameter set for each local data source from the remote computer. Each filter parameter set includes a data rate parameter and at least one of a minimum threshold parameter, a maximum threshold parameter or a change-of-value (COV) parameter. For each local data source, the processor compare each data value received from the local data source to at least one of the filter parameters, and sends the data value and subsequent data values to the remote computer at a data rate that is based on the data rate parameter.

Abstract: The present disclosure advantageously provides devices, systems, and methods for facility analytics. A computer-based method for determining electrical energy consumption for a building includes receiving static data for a plurality of electrical energy-consuming equipment (EECE) associated with the building, receiving dynamic data for each EECE, determining an electrical energy consumption value for each EECE over a predetermined time period, and determining a building electrical energy consumption value over the predetermined time period. The static data includes one or more performance attributes for each EECE, and the dynamic data includes measured performance data for each EECE over the predetermined time period. The electrical energy consumption value for each EECE is determined based on the performance attributes for each EECE and the measured performance data for each EECE. The building electrical energy consumption value is determined based on the electrical energy consumption value for each EECE.

Abstract: A network edge device includes a local network interface, a remote network interface, a memory and a processor. The local network interface receives data from local data sources over a local network. The remote network interface communicates with a remote computer over a remote network. The processor receives a filter parameter set for each local data source from the remote computer. Each filter parameter set includes a data rate parameter and at least one of a minimum threshold parameter, a maximum threshold parameter or a change-of-value (COV) parameter. For each local data source, the processor compare each data value received from the local data source to at least one of the filter parameters, and sends the data value and subsequent data values to the remote computer at a data rate that is based on the data rate parameter.

Abstract: The present disclosure advantageously provides devices, systems, and methods for facility analytics. A computer-based method for determining electrical energy consumption for a building includes receiving static data for a plurality of electrical energy-consuming equipment (EECE) associated with the building, receiving dynamic data for each EECE, determining an electrical energy consumption value for each EECE over a predetermined time period, and determining a building electrical energy consumption value over the predetermined time period. The static data includes one or more performance attributes for each EECE, and the dynamic data includes measured performance data for each EECE over the predetermined time period. The electrical energy consumption value for each EECE is determined based on the performance attributes for each EECE and the measured performance data for each EECE. The building electrical energy consumption value is determined based on the electrical energy consumption value for each EECE.