Apparatuses, systems, and methods for collecting utility meter data are described. An example system may include a flow controller and a server. The flow controller is configured to communicate with a water meter for a property and connected to at least one water outlet of a plurality of water outlets. The server is coupled to one or more infrastructure databases and the flow controller. The server includes a non-transitory computer readable media and is configured to execute instructions stored on the non-transitory computer readable media. The instructions include receiving water usage data from the flow controller and transmitting the water usage data from the water meter for the property to a water utility company.

An AC line voltage detection circuit includes an AC sense circuit, a power supply control circuit, and a power supply hold-up circuit. The AC sense circuit is configured to generate a signal to a processor and to the power supply control circuit in response to sensing an absence of AC line voltage. The power supply control circuit is configured to generate a control signal to a power supply that provides power to the processor to shut down the power supply. The processor is configured generate a signal to the power supply hold-up circuit configured to generate a signal to the power supply control circuit to prevent shut down of the power supply. The power supply hold-up circuit signal overrides the AC sense circuit signal. The processor is further configured to generate a subsequent signal to the power supply hold-up circuit to permit shut down of the power supply.

A method collects data, a physical or physico-chemical parameter and/or an operating state, during operation of a sensor. The sensor contains a measuring element which provides elementary measuring units, which correspond to a physical or physico-chemical variable or the physical or physico-chemical parameter, as raw measurement data, and the sensor has a communication device and a memory. To determine the measurement resolution of the sensor, the conditions for generating time stamps are first determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated based on the time stamps using the correlation model. Wherein operating state monitoring of the sensor is carried out by comparing current time stamps with historical and/or empirical time stamps.

Techniques determine if a gas service (e.g., piping and/or meter) is under-sized for the customer's needs. In one example, flowrate information corresponding to gas usage at a service site over a first period of time is obtained. The flowrate information is disaggregated to determine an expected flowrate associated with each of two or more appliances having generally fixed-rates of gas consumption. Flowrate information is again obtained, corresponding to a second period of time. The second flowrate information is compared to one or more combinations (i.e., summations) of the expected flowrates associated with each of the two or more appliances. Based on the comparison, it may be determined that the service site is not appropriately sized. In an example, failure to detect two fixed-rate of gas-consumption appliances operating at their respective fixed-rates at the same time may indicate that the service cannot provide gas at a sufficient flowrate.

Methods, systems, and apparatus for monitoring consumable gas usage are disclosed. A method includes obtaining, from one or more sensors installed at a property, sensor data that indicates one or more attributes of the property; based on the sensor data, determining an expected amount of gas consumption at the property; obtaining, from a gas meter installed at the property, gas meter data that indicates a gas consumption at the property; determining, based on the gas meter data and the expected amount of gas consumption, that the gas consumption at the property meets criteria for abnormal gas consumption; and based on determining that the gas consumption at the property meets criteria for abnormal gas consumption, performing one or more monitoring system actions. Determining an expected amount of gas consumption at the property comprises determining an operating status of each of a plurality of gas consuming appliances at the property.

The system can include installing a gas meter in a gas supply net. The system may also include determining, by the gas meter, a level of pressure within the gas meter. The system may also include determining, by the gas meter, a flow rate level within the gas meter. The gas meter determines where a leak exists based on the flow rate level and the level of pressure. The system may also include determining, by the gas meter, a location of the leak, and whether the leak is upstream or downstream from the gas meter. The location of the leak is determined by the level of the pressure and the flow rate level. The system can also include a head end configured at a set position. The gas meter can inform the head end of the location of the leak.

Analysis of smart meter and/or similar data based on frequency content is disclosed. In various embodiments, for each of a plurality of resource consumption nodes a time series data including for each of a series of observation times a corresponding resource consumption data associated with that observation time is received. At least a portion of the time series data, for each of at least a subset of the plurality of resource consumption nodes, is transformed into a frequency domain. A feature set based at least in part on the resource consumption data as transformed into the frequency domain is used to detect that resource consumption data associated with a particular resource consumption node is anomalous.

Techniques described herein detect a meter orientation based on a temperature gradient measured for a utility meter. A method for detecting a meter orientation includes determining a set of temperature measurements including a respective temperature measurement at two or more temperature sensors of a utility meter. The method further includes comparing the set of temperature measurements to a thermal fingerprint of the utility meter. The thermal fingerprint represents a baseline set of one or more temperature gradients based on the two or more temperature sensors over time. The method further includes detecting a meter orientation based on comparing the set of temperature measurements to the thermal fingerprint of the utility meter.

Apparatuses, systems, and methods for collecting utility meter data are described. An example system may include a flow controller and a server. The flow controller is configured to communicate with a water meter for a property and connected to at least one water outlet of a plurality of water outlets. The server is coupled to one or more infrastructure databases and the flow controller. The server includes a non-transitory computer readable media and is configured to execute instructions stored on the non-transitory computer readable media. The instructions include receiving water usage data from the flow controller and transmitting the water usage data from the water meter for the property to a water utility company.

A method of monitoring a fluid meter is arranged to produce measurements of the overall consumption of an installation. The method includes the steps of: analyzing the overall consumption measurements to identify a mechanism in the installation that operates with operating cycles, each presenting a substantially constant cycle duration (t1−t0) and during each of which the individual consumption (V1−V0) of the mechanism is substantially constant; detecting operating cycles of the mechanism and measuring the individual consumption of the mechanism for each detected operating cycle; detecting abnormal metrological drift of the measuring device as a function of variation over time in the individual consumption.