Abstract: Device(s) and techniques determine if a gas regulator supplying gas at a regulated pressure to a gas meter (e.g., the gas meter of a house or business) within a gas distribution system has one or more lock-up failure events or venting events, wherein gas is vented to the atmosphere. In an example, a sensor obtains information indicating a relative position of a stop stem of a gas regulator and a diaphragm pin of the gas regulator. As pressure increases within the regulator, the diaphragm pin moves toward and/or touches the stop stem. The gas pressure increase may result from debris in the regulator that prevents a valve from fully closing. A signal may be sent from the regulator and/or associated gas meter. The signal may contain information based at least in part on data from the sensor, and which may indicate a lock-up failure event or a venting event by the gas regulator.

Abstract: Techniques for obtaining and processing utility consumption data (e.g., gas, water, electricity, etc.) of a utility network to determine if a violation has occurred with respect to a restriction schedule associated with a service site. By way of example, a number of utility restriction schedules associated with a number of service sites may be generated that indicate, for example, a type of restricted activity and/or event (e.g., irrigation), seasons and/or which days activity is allowed or not allowed, duration activity is allowed, and/or mitigation to take place if a violation is detected. A device (e.g., a smart utility meter, a router, etc.) may monitor utility consumption and detect a particular usage activity (e.g., irrigation) via data disaggregation. The device may compare the activity to the restriction schedule for that particular service site and perform automatic mitigation if a violation is detected.

Abstract: Techniques detect a low gas-pressure condition within a region without the use of pressure sensors. In an example, gas usage at a service site is disaggregated to show use by individual appliances. A flowrate of gas at an appliance (e.g., a gas hot water tank) having a generally fixed-rate of gas-consumption is determined. Based at least in part on the flowrate of gas at the appliance, and an historical gas flowrate at that appliance, it is determined if gas pressure at the service site is lower than expected. In an example, failure of the appliance to use its typical fixed-flowrate may indicate low gas pressure at the service site. Information is obtained from a second gas meter at a second service site. Based on the gas pressure at the first and second service sites being lower than expected, a low gas pressure situation may exist in a regional area.

Abstract: Techniques for using data indicating if a gas regulator supplying gas at a regulated pressure to a gas meter (e.g., the gas meter of a house or business) within a gas distribution system has one or more lock-up failure events or venting events, wherein gas is vented to the atmosphere. The data may identify the identity of gas regulators at which the lock-up failure events or venting events occurred. Based at least in part on the identified gas regulators, a number of gas regulators having at least one of lock-up failure events or venting events that are connected to a same gas supply line may be identified. If the number of gas regulators having at least one of lock-up failure events or venting events on the identified gas supply line exceeds a threshold number this may indicate the presence of debris in the gas supply. Remedial steps may be taken, and the situation may be monitored and reassessed.

Abstract: Techniques determine if an appliance having a fixed-rate of gas-consumption is degrading over time. In one example, a flowrate of gas at a service site is obtained. The flowrate of gas is disaggregated to obtain a flowrate of gas corresponding to an appliance having a generally fixed-rate of gas-consumption. The flowrate of gas of the appliance is compared to historical gas consumption by the appliance. Based at least in part on the comparing, it may be determined that performance of the appliance has changed over time. For example, the gas consumption of a hot water tank may increase due to mineral build-up in the bottom of the tank. Responsive to the determined degradation of the appliance, warnings may be sent, repairs may be made, and/or appliance(s) may be replaced.

Abstract: Techniques for controlling water pressure at a plurality of water customer service sites are described. In an example, a first plurality of water service sites having water pressure values greater than a first threshold value are identified. A second plurality of water service sites having pressure values less than a second threshold value are identified. Valves controlling water flow to respective customer service sites within the first and second pluralities of water service sites are adjusted. The adjustments increase water pressure in the second plurality of water service sites to a pressure above a minimal target pressure. The adjustment maintains the water pressure of the first plurality of service sites above the minimal target pressure. In an example, groups of water service sites are associated with respective water mains and/or water pressure sensors. Information shared between groups may assist in adjusting water valves within the water system.

Abstract: Techniques for obtaining and processing utility consumption data (e.g., gas, water, electricity, etc.) of a utility network to determine if a violation has occurred with respect to a restriction schedule associated with a service site. By way of example, a number of utility restriction schedules associated with a number of service sites may be generated that indicate, for example, a type of restricted activity and/or event (e.g., irrigation), seasons and/or which days activity is allowed or not allowed, duration activity is allowed, and/or mitigation to take place if a violation is detected. A device (e.g., a smart utility meter, a router, etc.) may monitor utility consumption and detect a particular usage activity (e.g., irrigation) via data disaggregation. The device may compare the activity to the restriction schedule for that particular service site and perform automatic mitigation if a violation is detected.

Abstract: Disclosed are techniques to conserve battery of an endpoint device. Example techniques include adjusting the size of messages transmitted by an endpoint device and/or adjusting the transmission rate of an endpoint device. In some configurations, the one or more criteria are used by an endpoint device to determine what data fields to include within a message and/or adjust a transmission rate associated with the transmission of messages by the endpoint device. For instance, the one or more criteria may include the battery level of the device, the time of year, whether the data has already been transmitted by the endpoint device, whether the data has been acknowledged as received by another device, whether the endpoint device has been instructed by another device to reduce the message size and/or adjust the transmission rate, and the like.

Abstract: Techniques for obtaining and processing utility consumption data (e.g., gas, water, electricity, etc.) of a utility network to determine if a violation has occurred with respect to a restriction schedule associated with a service site. By way of example, a number of utility restriction schedules associated with a number of service sites may be generated that indicate, for example, a type of restricted activity and/or event (e.g., irrigation), seasons and/or which days activity is allowed or not allowed, duration activity is allowed, and/or mitigation to take place if a violation is detected. A device (e.g., a smart utility meter, a router, etc.) may monitor utility consumption and detect a particular usage activity (e.g., irrigation) via data disaggregation. The device may compare the activity to the restriction schedule for that particular service site and perform automatic mitigation if a violation is detected.

Abstract: Techniques detect a low gas-pressure condition within a region without the use of pressure sensors. In an example, gas usage at a service site is disaggregated to show use by individual appliances. A flowrate of gas at an appliance (e.g., a gas hot water tank) having a generally fixed-rate of gas-consumption is determined. Based at least in part on the flowrate of gas at the appliance, and an historical gas flowrate at that appliance, it is determined if gas pressure at the service site is lower than expected. In an example, failure of the appliance to use its typical fixed-flowrate may indicate low gas pressure at the service site. Information is obtained from a second gas meter at a second service site. Based on the gas pressure at the first and second service sites being lower than expected, a low gas pressure situation may exist in a regional area.

Abstract: A leak detection sensor may be capable of dynamically adjusting a sampling time for acoustic data based on monitored fluid flow. The leak detection sensor monitors leak detection information associated with a fluid in a fluid transporting medium over a predetermined time interval, where the leak detection information comprises flow and pressure of the fluid in the fluid transporting medium, and processing the leak detection data monitored at the sampling time in the predetermined time interval, where the sampling time is determined based at least in part on the monitored flow of the fluid.

Abstract: 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.

Abstract: Techniques determine if a gas service (e.g., piping and/or meter) is undersized 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.

Abstract: Techniques determine if an appliance having a fixed-rate of gas-consumption is degrading over time. In one example, a flowrate of gas at a service site is obtained. The flowrate of gas is disaggregated to obtain a flowrate of gas corresponding to an appliance having a generally fixed-rate of gas-consumption. The flowrate of gas of the appliance is compared to historical gas consumption by the appliance. Based at least in part on the comparing, it may be determined that performance of the appliance has changed over time. For example, the gas consumption of a hot water tank may increase due to mineral build-up in the bottom of the tank. Responsive to the determined degradation of the appliance, warnings may be sent, repairs may be made, and/or appliance(s) may be replaced.

Abstract: A leak detection sensor may be capable of dynamically adjusting a sampling time for acoustic data based on monitored fluid flow. The leak detection sensor monitors leak detection information associated with a fluid in a fluid transporting medium over a predetermined time interval, where the leak detection information comprises flow and pressure of the fluid in the fluid transporting medium, and processing the leak detection data monitored at the sampling time in the predetermined time interval, where the sampling time is determined based at least in part on the monitored flow of the fluid.

Abstract: Techniques determine if an appliance having a fixed-rate of gas-consumption is degrading over time. In one example, a flowrate of gas at a service site is obtained. The flowrate of gas is disaggregated to obtain a flowrate of gas corresponding to an appliance having a generally fixed-rate of gas-consumption. The flowrate of gas of the appliance is compared to historical gas consumption by the appliance. Based at least in part on the comparing, it may be determined that performance of the appliance has changed over time. For example, the gas consumption of a hot water tank may increase due to mineral build-up in the bottom of the tank. Responsive to the determined degradation of the appliance, warnings may be sent, repairs may be made, and/or appliance(s) may be replaced.

Abstract: Techniques for detecting a high gas pressure situation within a gas delivery system (e.g., for natural gas delivery to homes and businesses) are described. In one example, a device measures gas pressure. If a pressure over a threshold value is detected, a nearby device is messaged. The nearby device either confirms the over-pressure condition or indicates it may be more localized. If the condition is present within an area of the gas delivery system and/or within a group of devices within the gas delivery system, protective measures may be taken, such as closing valves providing gas to a number of service sites.

Abstract: Techniques for detecting a high gas pressure situation within a gas delivery system (e.g., for natural gas delivery to homes and businesses) are described. In one example, a device measures gas pressure. If a pressure over a threshold value is detected, a nearby device is messaged. The nearby device either confirms the over-pressure condition or indicates it may be more localized. If the condition is present within an area of the gas delivery system and/or within a group of devices within the gas delivery system, protective measures may be taken, such as closing valves providing gas to a number of service sites.

Abstract: Disclosed are techniques to conserve battery of an endpoint device. Example techniques include adjusting the size of messages transmitted by an endpoint device and/or adjusting the transmission rate of an endpoint device. In some configurations, the one or more criteria are used by an endpoint device to determine what data fields to include within a message and/or adjust a transmission rate associated with the transmission of messages by the endpoint device. For instance, the one or more criteria may include the battery level of the device, the time of year, whether the data has already been transmitted by the endpoint device, whether the data has been acknowledged as received by another device, whether the endpoint device has been instructed by another device to reduce the message size and/or adjust the transmission rate, and the like.

Abstract: Techniques for detecting and remediating a low gas pressure situation within a gas delivery system are described. In one example, a smart gas metering device measures gas pressure. The first device determines that the gas pressure value is less than a first threshold value, indicating a low gas pressure condition. The first smart metering device reports this condition to a second smart metering device, which may be nearby. In response, the first smart metering device receives gas pressure information from the second smart gas metering device. The first smart gas metering device then reports one of two conditions to a headend device, such as a main office server. In a first possibility, the report indicates a low gas pressure event confined to the first device. Alternatively, the report indicates a low gas pressure event within a distribution area comprising the first device and the second device.