The present disclosure relates to predicting blockages in underground ducts. According to one aspect, there is provided a computer-implemented method of identifying one or more locations along a route for an underground duct which indicate a blockage risk, the route extending between two ends, the method including obtaining a terrain elevation profile for the route; estimating a duct elevation profile for the route based on the terrain elevation profile; and predicting one or more blockage risk locations along the route by determining where water entering the duct from each of the two ends would settle, based on the duct elevation profile.

Provided herein are embodiments of a flood prevention system. The flood prevention system may include a water line, a sewer line, and at least one floating switch sensor. The water line and sewer line may be connected to a plumbing fixture. The floating switch sensor may be installed within the sewer line and be connected to a solenoid valve.

A toilet management system includes a toilet bowl device installed in a toilet room, a management device configured to manage a use situation of the toilet bowl device, and a communication device configured to transmit use situation information related to the use situation of the toilet bowl device to the management device. The management device includes an acquirer configured to acquire the use situation information from the communication device, and an abnormality detector configured to detect an abnormality of the toilet bowl device or a facility or equipment installed inside or around the toilet room when the use situation information acquired by the acquirer matches a predetermined condition.

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.

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.

Cable handling devices, methods and systems are provided for securing and deploying, or retracting, one or more cables or hoses into or out of a pipe or cavity allowing inspection of the pipe or cavity. The cables and/or hoses may be coupled and moved together, or decoupled enabling them to be moved independently. A hand-held device with a housing for at least partially enclosing one or more cables or hoses, at least one coupling mechanism integrally attached to the housing, and a coupling control for coupling and decoupling the one or more cables or hoses may be provided. One or more of the cables may be connected to a camera disposed at the distal end of a cable thereby facilitating inspection of the pipe or cavity. Tools such as cutting devices or a jetter may be provided at the end of the one or more cables and/or hoses.

A sewage line plug assembly is disclosed herein. The assembly comprises a plug housing having a hollow configuration. Additionally, a diaphragm plate is disposed within the plug housing including a first element disposed on the first operative end of the diaphragm plate. Furthermore, first element is configured to depress due to pressure acting thereon due to sewage build up inside a sewage line. The housing further includes a second element disposed on the inner bottom end of the housing. Additionally, the second element interacts with the first element and is configured to depress due to depression of first element. Sewage line plug assembly further includes an alarm unit coupled to second element and configured to sound an alarm on depression of second element. The alarm sound of the alarm unit is configured to sound when the pressure exceeds a pre-determined threshold value.

Systems and methods for identifying one or more points of interest in pipes or drain lines are described. Examples of points of interest include blockages caused by debris in the pipe or drain line. The systems are incorporated into drain cleaning machines. Also described are drain cleaning machines utilizing the systems.

One or more techniques and/or systems are disclosed for detecting the presence or formation of a blockage in a sewer system using a machine learning (ML) model. The ML model may be trained using a supervised learning method; and may be used to analyze various inputs from a sewer system to automatically sense developing sewer blockages. The systems and techniques described herein may also indicate the type of blockage that is forming, such as silt accumulation; sediment buildup; ragging; root intrusion; fats, oils, and grease (FOG), etc.) prior to a full blockage to allow preventative cleaning operations.