Abstract: Systems and methods for utility intervention are disclosed. The method of utility intervention includes: (i) obtaining utility data from a utility data repository; (ii) detecting, using at least one type of anomaly-detecting module, at least one utility anomaly and a location address; (iii) calculating an amount of financial savings for the utility anomaly if the utility anomaly was remedied or addressed; (iv) computing a certainty score for the utility anomaly; (v) conveying information about the type of utility anomaly, and the location address of the utility anomaly; and (vi) displaying, on a display screen of a client device, a map depicting a geographical area that identifies, using a flag icon, the location address on the map of the utility anomaly, the type of the utility anomaly, a certainty score for the utility anomaly, and/or an amount of financial savings associated with the utility anomaly.

Abstract: Supporting assemblies for supporting a suspended load and processes relating thereto are described. An exemplar supporting assembly includes: (i) an area-narrowing feature including a first inner surface defining a first aperture; (ii) a main tube including an interior-main surface defining a cavity having disposed therewithin the area-narrowing feature; (iii) an area-expanding feature including a second outer surface; and (iv) a telescoping rod including an outer-telescoping surface having disposed thereon the area-expanding feature. In an assembled state of the supporting assembly, the outer-telescoping surface slidably passes through and establishes a first frictional contact with the first inner surface, and the second outer surface slidably engages and establishes a second frictional contact with the interior-main surface.

Abstract: Fluid stream management systems and methods are described. An exemplar fluid stream management system includes a neural network connected to a cascading treatment processor. The neural network calculates an initial distant flow condition attribute value for a distant fluid treatment facility. The cascading treatment processor using hydrological information and the initial distant flow condition attribute value computes a predicted modified contribution value for the distant fluid treatment facility. The cascading treatment processor instructs multiple fluid flow controllers, each of which controls the operation of a flow-directing device such that a sum of the predicted modified total load value and a real time total load value of the distant fluid treatment facility is minimized. The real time total load value of the distant fluid treatment facility is based upon real time measurements obtained from one or more of the distant fluid treatment facility sensors.

Abstract: Fluid stream management systems and methods relating thereto are described. The fluid management system includes: (1) one or more storage chambers; (2) two or more flow condition attribute measuring devices configured to measures certain flow condition attribute values; (3) one or more flow controllers that are communicatively coupled to receive the flow condition attribute values and use them to establish certain cost functions; and (4) one or more flow-modifying devices, each of which is coupled to at least one of the flow controllers, and based upon instruction received from at least one of the flow controllers, the flow-modifying device is capable of modifying flow of fluid through one or more of the flow-modifying devices to minimize a difference between the established cost functions.