7 results about "Storm drain" patented technology

This invention discloses a storm drain device for non-motorized vehicle lanes, relating to the field of municipal engineering technology. It aims to solve the problems of limited drainage area, easy blockage by lightweight debris, high maintenance and cleaning difficulties, and high maintenance costs associated with commonly used combined storm drains in existing technologies. The technical solution adopted is that the storm drain grate is connected to the storm drain well. The storm drain grate includes a main drainage grate, an auxiliary drainage grate, and a sludge removal grate. The main drainage grate, auxiliary drainage grate, and sludge removal grate correspond to the positions of the non-motorized vehicle lane surface, the curb, and the sidewalk, respectively. Through a multi-outlet water collection design, the total drainage area of ​​a single set of storm drains is significantly expanded, accelerating the stormwater runoff speed on the non-motorized vehicle lane surface and reducing water accumulation at the source. Furthermore, the height of the auxiliary drainage outlet matches the curb, and the spacing is consistent with the main drainage outlet, complying with municipal road construction specifications and requiring no changes to the original road foundation structure.

A storm water capture and filtration system may secure in a catch basin or other area subject to flows of water from streets, channels, and the like as a result of run off from storms. A filter system may include a capture portion including attachment mechanisms, a funnel, various supports, and a filter hanger designed and calculated to capture all water entering a storm water inlet and directing it toward a bag filter. A gap is provided between a funnel and filter hanger in order to provide accommodation for overflow, while an anti-backflow skirt on the filter bag resists flushing of captured pollution out of the bag in overflow condition.

This invention relates to a prediction method for reducing the cumulative rainwater volume of storm drains using sponge city infrastructure based on SWMM (Sponge Modeling). The method includes the following steps: constructing a hydraulic model of the stormwater pipe network for the target area using SWMM software, and generalizing the target area according to topographical features; selecting an infiltration model and a calculation model, simulating the model using a Chicago rain gauge, and verifying the results using local rainfall data; analyzing pipe flow rate and node water depth to obtain the relationship curve between storm drain node water depth and time; obtaining the cumulative rainwater volume of the storm drain over a period of time based on the relationship curve; then, using the same method, simulating and predicting the cumulative rainwater volume of the storm drain after the installation of sponge city infrastructure over a period of time; finally, calculating the difference in cumulative rainwater volume between the two scenarios to characterize the amount of rainwater reduced by the sponge city infrastructure. This prediction method effectively solves the problems of complex calculation processes, low accuracy, and inaccurate calculation results of rainwater retention by sponge city infrastructure in existing methods for calculating cumulative rainwater volume of storm drains.

The present disclosure is for radar detection of in-surface objects for autonomous and semi-autonomous systems and applications. In examples, in-surface objects can be classified based on their RADAR signatures. Ground truth data can be generated using cross-modal sensor fusion to identify objects detected from RADAR data but not detected from corresponding LiDAR data or image data. One or more classes can be used to represent these in-surface objects; respective ground truth annotations can be generated and used to train a machine learning model to explicitly detect in-surface objects from their RADAR signatures such that detected in-surface objects (e.g., manhole covers, railroad tracks, storm drain grates, etc.) can be safely ignored. As such, the machine learning model can be deployed and used to detect and ignore in-surface objects, flag them as drivable space, and / or provide representations of these detections to one or more downstream components (e.g., a control stack of a self-machine) to enable safe and comfortable planning and control of the self-machine.

A method of manufacturing a storm drain marker. The marker is constructed of a stainless steel plate with a front surface centrally disposed depression and a back surface that is recessed. The front surface is coated with a porcelain frit, and overlaid with a ceramic printed decal which is fused with the porcelain frit coating. The shaped plate forming an informational marker that can withstand long term exposure to the elements.

A rain gauge is disclosed and includes a collection cylinder and a rain gauge head. The rain gauge head includes an intake opening and a vane tail, with the vane tail redirecting the intake opening to face oncoming wind and rain so that the intake opening collects oncoming rain. The rain gauge head includes a rainwater discharge to deposit rainwater within the collection cylinder. The rainwater discharge may be rotatably fastened to the collection cylinder so that the rain gauge head is free to rotate around a vertical axis for 360 degrees. Alternatively, the rain gauge head and collection cylinder may rotate in unison. An air exhaust port and air pressure relief valve may be formed in either of the rain head gauge or collection cylinder to release air trapped within the rain gauge. Airfoils may be placed on the collection cylinder to better redirect the rain gauge.

1. Name of this design product: Detachable storm drain warning sign. 2. Purpose of this design: for urban drainage and to alert pedestrians and vehicles to the location of manholes, preventing accidental falls and traffic accidents. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.