Abstract: A combined sewer/enclosure overflow (CSO) sensor system is described for accurate detection and measurement of overflow events. From the combined data, trending information can determine if there is debris accumulation. Rain masks can be used in the trending data to measure overall health. External sensors in combination with the CSO sensors provide predictive information and additional levels of information/data accuracy. The sensor system automatically and remotely monitors CSO locations and provides real-time data regarding start times, stop times, duration, and flow volumes of overflows that occur in these structures and provide regulatory and public notification of these events.

Abstract: An environmental monitoring network has transportable, self-contained, environment sensing capsules, each capsule is water-proof, with first and second sections, the second section being hollow. Apertures in the capsule's housing enable fluid and gas entry wherein first sensor(s) disposed internal to the housing measure within the hollow, and second sensor(s) disposed external to the housing measure external to the housing. A controller and power system are connected to the first and second sensors and transmits measured data. An access entry way is on a side of the housing, enabling access to first sensors, controller system, power system, and the communication system. A central data server is configured to receive and analyze the measurement data sent from the capsules. There is a priority list of appropriate personnel for contact by the central data server in an event there is an emergency condition at a capsule location.

Abstract: A combined sewer/enclosure overflow (CSO) sensor system is described for accurate detection and measurement of overflow events. From the combined data, trending information can determine if there is debris accumulation. Rain masks can be used in the trending data to measure overall health. External sensors in combination with the CSO sensors provide predictive information and additional levels of information/data accuracy. The sensor system automatically and remotely monitors CSO locations and provides real-time data regarding start times, stop times, duration, and flow volumes of overflows that occur in these structures and provide regulatory and public notification of these events.

Abstract: A covered enclosure surface sensing device, with an on-chip 2-D phased array radar sensor, beam-steering to create a three-dimensional image of the enclosure's interior. An environmental encasing contains a processor, a motion detector, a communication module coupled to an external communication antenna, a power source. It is attachable to a lid or upper side surface of the enclosure. After scanning, the device measures positions of, if present, flexible surfaces and obstructions within the enclosure and a level of liquid or powder in the bottom of the enclosure. If the enclosure contains an open channeled inlet and outlet, it measures liquid levels in the inlet and outlet, the position of the inlet and outlet, and the speed of fluid in the inlet and outlet. If the motion detector detects a threshold movement of the lid or surface sensing device, the phased array radar sensor performs a reorientation scan.

Abstract: A combined sewer/enclosure overflow (CSO) sensor system is described for accurate detection and measurement of overflow events. From the combined data, trending information can determine if there is debris accumulation. Rain masks can be used in the trending data to measure overall health. External sensors in combination with the CSO sensors provide predictive information and additional levels of information/data accuracy. The sensor system automatically and remotely monitors CSO locations and provides real-time data regarding start times, stop times, duration, and flow volumes of overflows that occur in these structures and provide regulatory and public notification of these events.

Abstract: A combined sewer/enclosure overflow (CSO) sensor system is described for accurate detection and measurement of overflow events. From the combined data, trending information can determine if there is debris accumulation. Rain masks can be used in the trending data to measure overall health. External sensors in combination with the CSO sensors provide predictive information and additional levels of information/data accuracy. The sensor system automatically and remotely monitors CSO locations and provides real-time data regarding start times, stop times, duration, and flow volumes of overflows that occur in these structures and provide regulatory and public notification of these events.

Abstract: In one embodiment, a flow-estimation processor receives one or more flow-depth measurements with each flow-depth measurement having been taken at a respective time. The processor calculates a respective estimated flow rate for each of the times based on the corresponding flow-depth measurement and one or more flow-estimation parameters each set to a respective initial value. The processor outputs the estimated flow rates for presentation via a user interface, and receives via the user interface one or more updated values corresponding respectively to a flow-estimation parameter. The processor calculates an updated estimated flow rate for each of the one or more times, such that each respective updated estimated flow rate is calculated based on the received updated values. The processor then outputs the updated estimated flow rates for presentation via the user interface.

Abstract: In one embodiment, a flow-estimation processor receives one or more flow-depth measurements with each flow-depth measurement having been taken at a respective time. The processor calculates a respective estimated flow rate for each of the times based on the corresponding flow-depth measurement and one or more flow-estimation parameters each set to a respective initial value. The processor outputs the estimated flow rates for presentation via a user interface, and receives via the user interface one or more updated values corresponding respectively to a flow-estimation parameter. The processor calculates an updated estimated flow rate for each of the one or more times, such that each respective updated estimated flow rate is calculated based on the received updated values. The processor then outputs the updated estimated flow rates for presentation via the user interface.

Abstract: In one embodiment, a flow-estimation processor receives one or more flow-depth measurements with each flow-depth measurement having been taken at a respective time. The processor calculates a respective estimated flow rate for each of the times based on the corresponding flow-depth measurement and one or more flow-estimation parameters each set to a respective initial value. The processor outputs the estimated flow rates for presentation via a user interface, and receives via the user interface one or more updated values corresponding respectively to a flow-estimation parameter. The processor calculates an updated estimated flow rate for each of the one or more times, such that each respective updated estimated flow rate is calculated based on the received updated values. The processor then outputs the updated estimated flow rates for presentation via the user interface.

Abstract: In one embodiment, a flow-estimation processor receives one or more flow-depth measurements with each flow-depth measurement having been taken at a respective time. The processor calculates a respective estimated flow rate for each of the times based on the corresponding flow-depth measurement and one or more flow-estimation parameters each set to a respective initial value. The processor outputs the estimated flow rates for presentation via a user interface, and receives via the user interface one or more updated values corresponding respectively to a flow-estimation parameter. The processor calculates an updated estimated flow rate for each of the one or more times, such that each respective updated estimated flow rate is calculated based on the received updated values. The processor then outputs the updated estimated flow rates for presentation via the user interface.

Abstract: A hierarchical data management tool and user interface that provides an efficient and effective means for an organization to organize both users and their access to a system consisting of a large number of remote sensing locations. Various levels of notifications for specified personnel allow the notified persons to respond to alerts in an efficient manner. Personnel can be hierarchically organized according to their qualifications and proximity to the sensing location/alert type.