The present disclosure relates to a self-powered utility delivery system that includes an energy generator that produces electrical energy and consequently regulates a pressure of utility flowing through the self-powered utility delivery system. Additionally, the self-powered utility delivery system includes an electronic utility meter that monitors a quantity (e.g., volume) of utility that flows through the self-powered utility delivery system and toward a consumer.

A system and method for dispense characterization is disclosed. According to particular embodiments of the dispense characterization system and method, volumes of dispensed liquids can be determined. In more particular embodiments, additional characteristics and combinations of characteristics of a liquid dispensing event can be determined. Examples of additional characteristics that can be determined include the shape of the dispensing event, the velocity of the dispensing event, and the trajectory of the dispensing event. The dispense characterization system and method can be employed in automated biological sample analysis systems, and are particularly suited for monitoring liquid reagent dispensing events that deliver liquid reagents to a surface of a microscope slide holding a biological sample.

A system and method for dispense characterization is disclosed. According to particular embodiments of the dispense characterization system and method, volumes of dispensed liquids can be determined. In more particular embodiments, additional characteristics and combinations of characteristics of a liquid dispensing event can be determined. Examples of additional characteristics that can be determined include the shape of the dispensing event, the velocity of the dispensing event, and the trajectory of the dispensing event. The dispense characterization system and method can be employed in automated biological sample analysis systems, and are particularly suited for monitoring liquid reagent dispensing events that deliver liquid reagents to a surface of a microscope slide holding a biological sample.

A water management system effective for managing and metering water usage and detecting and reducing water leaks is described herein. The water management system can detect a leak when a volume of water flow or change in water pressure detected by a water meter of the system is uncharacteristic for a given day and time of day at the node. Upon detecting the leak, the system alerts the user, and in some situations, remotely shuts off a water supply to preemptively address a water leakage issue.

In a temporally continued plurality of day-and-time sections, history data included in the past day-and-time section is graphically displayed on the basis of the integrated flow amount data stored in the storage unit, as an integrated flow amount in each day-and-time section. In the day-and-time section including the current day-and-time, the integrated flow amount in the day-and-time section based on the current integrated flow amount data is successively updated and graphically displayed.

In a temporally continued plurality of day-and-time sections, history data included in the past day-and-time section is graphically displayed on the basis of the integrated flow amount data stored in the storage unit, as an integrated flow amount in each day-and-time section. In the day-and-time section including the current day-and-time, the integrated flow amount in the day-and-time section based on the current integrated flow amount data is successively updated and graphically displayed.

To provide an apparatus for monitoring a fluid flow rate, which is capable of performing monitoring without a data deficit, and displays information on a trend of a past history. A monitoring apparatus accepts, from the flow meter, integrated flow amount data for every day-and-time section, and a current flow rate, and graphically displays, on the basis of the integrated flow amount data for every day-and-time section, an integrated flow amount corresponding to each day-and-time section, on the basis of the integrated flow amount data for every day-and-time section including the current day-and-time and for every another plurality of continuous day-and-time sections.

To provide an apparatus for monitoring a fluid flow rate, which is capable of performing monitoring without a data deficit, and displays information on a trend of a past history. A monitoring apparatus accepts, from the flow meter, integrated flow amount data for every day-and-time section, and a current flow rate, and graphically displays, on the basis of the integrated flow amount data for every day-and-time section, an integrated flow amount corresponding to each day-and-time section, on the basis of the integrated flow amount data for every day-and-time section including the current day-and-time and for every another plurality of continuous day-and-time sections.

A computer implemented method implemented on a computer system includes non-transient memory storing instructions for configuring a plurality of district metering areas within a utility supply network. The method includes identifying a plurality of flow measurement devices, wherein each flow measurement device is connected by a directional connection to at least one other flow measurement device, generating a utility supply network representation based on the directional connections between the flow measurement devices, and generating a plurality of district metering areas for the utility supply network representation, each district metering area being a directed acyclic graph based on the directional connections and including a subset of the plurality of flow measuring devices and including at least one flow measurement device designated as a supply meter, at least one flow measurement device designated as a demand meter and at least one calculated flow measurement determined based on the flow measurements of the at least one supply meter and the at least one demand meter.

The present disclosure discloses a method for determining an abnormal device in a process of measuring energy of natural gas based on Internet of Things (IOT). The method may include obtaining a natural gas detection parameter detected by at least one detection device via a sense network platform in response to a query request; determining first energy data and second energy data by processing the natural gas detection parameter; determining whether the abnormal device exists by comparing the first energy data and the second energy data; in response to determining that the abnormal device exists, for each detection device, determining a probability that the detection device is abnormal based on related information of the detection device, the first energy data, and the second energy data; and determining the abnormal device based on the probability that the detection device is abnormal.