Abstract: It is described herein a roofing insulation structure. The roofing insulation structure may comprise a first exterior surface and a second exterior surface opposite the first exterior surface. The first exterior surface may comprise a channeled profile having a plurality of channels. Each channel of the plurality of channels may have a depth of at least 1 mm, a width of at least 0.15 mm, and a ratio of depth to width in a range of between 1.01:1 and 7:1. It is also described herein a roofing insulation system comprising a plurality of the roofing insulation structures. It is also disclosed herein a method of manufacturing the roofing insulation structures. It is also disclosed herein a method of installing the roofing insulation system.

Abstract: A system for monitoring conditions at a location, such as a roof of a building comprises a superstructure, a power supply, a sensor array, and a central processor. The sensor array may comprise a plurality of data sensors. Each data sensor may be physically connected to the superstructure, and electrically connected to the power supply. The central processor may be configured to receive a plurality of inputs from the plurality of data sensors and communicate the plurality of inputs to a receiver.

Abstract: Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly.

Abstract: Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly.

Abstract: A panel useful as a roof deck material (and optional insulating material, and optional moisture barrier) for a roof of a building or as a wall material for a wall of a building comprises a plurality of side members comprising at least a first side member, a second side member, and a third side member. A void capable of receiving an insulating material exists between at least the first side member, the second side member, and the third side member. The panel also comprises a plurality of stiffeners comprising at least a first stiffener spanning a first distance between at least two side members of the plurality of side members.

Abstract: Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly.

Abstract: A method and a system for evaluating a surface and/or subsurface for a plurality of conditions may comprise a surface contaminant removal device, an illuminating device, a detector unit, and a vehicle capable of travelling at a velocity of at least 1 mph. The method and system may include repair of at least one condition of the plurality of conditions. The repair system may include one or more vessels in fluid communication with a nozzle array.

Abstract: Described herein is a method of evaluating artificial lighting of a surface. The method may comprise measuring a first lumen output at a first location on the surface at a first altitude. The method may further comprise photographing the surface from a second altitude to obtain an aerial photograph of the surface comprising a plurality of pixels, each pixel of the plurality of pixels having a second lumen output, and performing an altitude adjustment on the second lumen output to obtain a third lumen output. The method may comprise dividing the aerial photograph into a plurality of zones, each zone corresponding to a section of the surface. The method may further comprise establishing a user-defined threshold lumen output for each zone of the plurality of zones, and identifying a percentage of the total number of pixels in each zone which meets or exceeds the user-defined threshold lumen output.

Abstract: Described herein is a method of evaluating artificial lighting of a surface. The method may comprise measuring a first lumen output at a first location on the surface at a first altitude. The method may further comprise photographing the surface from a second altitude to obtain an aerial photograph of the surface comprising a plurality of pixels, each pixel of the plurality of pixels having a second lumen output, and performing an altitude adjustment on the second lumen output to obtain a third lumen output. The method may comprise dividing the aerial photograph into a plurality of zones, each zone corresponding to a section of the surface. The method may further comprise establishing a user-defined threshold lumen output for each zone of the plurality of zones, and identifying a percentage of the total number of pixels in each zone which meets or exceeds the user-defined threshold lumen output.

Abstract: It is disclosed herein a system for monitoring the integrity of a roof. The system comprises a plurality of monitoring devices. Each monitoring device may comprise at least one power supply, a sensor comprising at least one detection device, a shroud at the end of a conduit which is in sealed fluid communication with the inside of a roof assembly, a motivating source, a central processor, and a receiver.

Abstract: It is described herein a roofing insulation structure. The roofing insulation structure may comprise a first exterior surface and a second exterior surface opposite the first exterior surface. The first exterior surface may comprise a channeled profile having a plurality of channels. Each channel of the plurality of channels may have a depth of at least 1 mm, a width of at least 0.15 mm, and a ratio of depth to width in a range of between 1.01:1 and 7:1. It is also described herein a roofing insulation system comprising a plurality of the roofing insulation structures. It is also disclosed herein a method of manufacturing the roofing insulation structures. It is also disclosed herein a method of installing the roofing insulation system.

Abstract: Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly.

Abstract: Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly.

Abstract: Described herein is a method of detecting anomalies on a surface of a structure. The method may comprise taking a thermal image of the surface of the structure. The method may further comprise taking a visual image of the surface of the structure. The method may then comprise conducting a thermal image numerical analysis on the thermal image. The thermal image numerical analysis may comprise obtaining a thermal image numerical value table. The thermal image numerical analysis may then comprise obtaining a surface nominal thermal value of the surface material. The thermal image numerical analysis may then comprise eliminating a first subset of pixels having a thermal value within a nominal thermal variation from the plurality of pixels. The thermal image numerical analysis may then comprise comparing the thermal value of each pixel of the plurality of pixels not in the first subset of pixels to the surface nominal thermal value to identify at least one anomaly.