A flow imaging and monitoring system for synchronized management of wide area drainage that includes an interposer for supporting monitoring and management equipment in a manhole, a module for illuminating water flowing in pipes at the base of the manhole, a module for monitoring responses to reflected light, a sealed and rechargeable battery pack, and a data analysis and management system to interpret data streams in real time. The interposer can be adjusted to fit the diameter of the manhole and can be adjusted to be placed under the manhole cover. The module for illuminating the flowing water can be adjusted to generate various frequencies. The support structures for the modules can be adjusted for varying pitch, roll and yaw with respect to the manhole. The data analysis and management system is supported by cloud computing.

The present invention provides a curb for measuring the flood depth in an urban area, more particularly, to a curb for measuring the flood depth in an urban area, which is configured to demarcate the boundary between a vehicular roadway and a pedestrian sidewalk to measure the flood depth so that the flood depth in the urban area can be measured without the necessity for additional installation of a separate structure. In particular, the present invention has an effect in that an air contact type water level gauge is installed in a first space of a main body to measure the flood depth, i.e., the level of flooding water based on the internal air pressure of a cylindrical tube so that a pressure sensor is not brought into close contact with the flooding water to prevent corrosion of the pressure sensor, thereby reducing the maintenance and repair costs.

An automatic water sampler apparatus which comprises at least one movable injection unit that can be positioned in order to inject the sample in a specific vial disposed on a tray of the apparatus, the tray being on the base of the apparatus. The positioning is done by two positioning units. The input unit of the apparatus comprises at least one water collector, but can also comprise four or more water collectors. The invention is also directed to a method of sampling water from a predetermined water body, where a plurality of samples can be collected thanks to the automatic water sampler apparatus.

A monitoring system for monitoring a liquid handling system may comprise at least one liquid level sensor and/or at least one gateway computer. The at least one liquid level sensor may be configured to monitor at least one liquid level of at least one liquid handling element. The at least one gateway computer may be in communication with the at least one liquid level sensor. The at least one gateway computer may be configured to receive sensor readings, report information describing the readings, identify at least one rule-triggering event, and perform an action in response to identifying the at least one rule-triggering event in accordance with at least one rule.

A monitoring system for monitoring a liquid handling system may comprise at least one liquid level sensor and/or at least one gateway computer. The at least one liquid level sensor may be configured to monitor at least one liquid level of at least one liquid handling element. The at least one gateway computer may be in communication with the at least one liquid level sensor. The at least one gateway computer may be configured to receive sensor readings, report information describing the readings, identify at least one rule-triggering event, and perform an action in response to identifying the at least one rule-triggering event in accordance with at least one rule.

The objective of the present invention is to provide a device configuration, a method and the like for performing an imaging survey within a survey space using an unmanned aerial vehicle. Provided is an unmanned aerial vehicle provided with at least four rotating blades, and a control unit which controls the rotation of the at least four rotating blades, wherein the unmanned aerial vehicle is provided with a survey camera in a position on a chassis of the unmanned aerial vehicle, between at least one rotating blade positioned on the side in the direction of travel, from among the at least four rotating blades, and at least one rotating blade positioned on the opposite side to the direction of travel, and wherein, when flying above a surface in which a liquid is at least partially present, the unmanned aerial vehicle flies while at least partially preventing scattered liquid from reaching above the chassis by means of the at least four rotating blades.

A valve rod isolation apparatus for reducing valve rod exposure to moisture and debris in a subsurface environment, wherein the valve rod is housed within an isolation sleeve that is sealed top and bottom.

A system for performing automated inspection of a sewer line using machine learning. The system comprises a inspection data database storing sewer inspection data including images and metadata associated therewith; an inspection upload module receiving and uploading the sewer inspection data to the inspection data database; and an inspection module receiving the sewer inspection data from the inspection data database and generating therefrom identification data including characteristics of the sewer line identified and categorized. The identification module uses at least one machine learning model processing the sewer inspection data and determining whether at least one sewer specific characteristic is identifiable in the images and categorizing the at least one sewer specific, using a plurality of hierarchical classes where a top class performs the determination of whether the at least one sewer specific characteristic is present and the identification thereof and lower classes perform categorization in decreasing abstraction levels.

A system for performing automated inspection of a sewer line using machine learning. The system comprises a inspection data database storing sewer inspection data including images and metadata associated therewith; an inspection upload module receiving and uploading the sewer inspection data to the inspection data database; and an inspection module receiving the sewer inspection data from the inspection data database and generating therefrom identification data including characteristics of the sewer line identified and categorized. The identification module uses at least one machine learning model processing the sewer inspection data and determining whether at least one sewer specific characteristic is identifiable in the images and categorizing the at least one sewer specific, using a plurality of hierarchical classes where a top class performs the determination of whether the at least one sewer specific characteristic is present and the identification thereof and lower classes perform categorization in decreasing abstraction levels.

A charging device 10 of a circulating-water utilization system 1 to be constructed in a specific area includes: a wastewater amount measuring unit 18a configured to individually measure an amount of wastewater discharged from each of water consuming members; a water-quality measuring unit 18b configured to individually measure a water-quality index related to a water quality of the wastewater discharged from each of the water consuming members; and a circulating-water fee calculating part 10A configured to calculate a circulating-water fee of each of the water consuming members on the basis of the amount and the water quality of the wastewater discharged from each of the water consuming members.