Digital imaging and analysis system for use in extreme weather conditions
US-2018330143-A1 · Nov 15, 2018 · US
US11953379B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11953379-B2 |
| Application number | US-202017110317-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 3, 2020 |
| Priority date | Sep 30, 2019 |
| Publication date | Apr 9, 2024 |
| Grant date | Apr 9, 2024 |
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A live detection system, a thermal infrared (IR) imager and a method for power grid equipment are provided. The system includes an environmental parameter module for acquiring environmental temperature, humidity and wind speed data; a ranging module for measuring a linear distance to the power grid equipment; an equipment type recognition module for acquiring an image of the power grid equipment, and recognizing a type of the power grid equipment; an equipment material determination module for determining a material type of the power grid equipment; an emissivity setting module for setting an emissivity; an temperature measurement module for obtaining a temperature of the power grid equipment by focusing on positions of the power grid equipment which need temperature measurement; and a report generation module for selecting a corresponding diagnostic model, displaying a temperature measurement position and a temperature value, drawing a conclusion, and generating a report.
Opening claim text (preview).
The invention claimed is: 1. A live detection system for power grid equipment, comprising: an environmental parameter module, configured to acquire environmental temperature, humidity and wind speed data and perform parameter setting; a ranging module, configured to measure a linear distance to the power grid equipment and perform parameter setting; an equipment type recognition module, configured to acquire an image of the power grid equipment and recognize a type of the power grid equipment; an equipment material determination module, configured to determine a material type of the power grid equipment according to the recognized equipment type and an appearance characteristic of the equipment; an emissivity setting module, configured to set an emissivity according to the material type of the power grid equipment; a temperature measurement module, configured to obtain a temperature of the power grid equipment by focusing on positions of the power grid equipment which need temperature measurement; and a report generation module, configured to select a corresponding diagnostic model according to the type of the detected power grid equipment, display a temperature measurement position and a temperature value on a display screen, draw a conclusion according to a corresponding determination criterion, and generate a report. 2. The live detection system for power grid equipment according to claim 1 , further comprising an environmental determination module, configured to determine whether the acquired environmental humidity data meets a requirement of environment detection. 3. The live detection system for power grid equipment according to claim 1 , wherein the ranging module is an infrared (IR) ranging module. 4. A live detection thermal IR imager for power grid equipment, comprising the live detection system for power grid equipment according to claim 3 , wherein the thermal IR imager acquires the environmental temperature, humidity and wind speed data through built-in sensors. 5. The live detection thermal IR imager for power grid equipment according to claim 4 , wherein a ranging module is a ranging module that comes with the thermal IR imager to measure a linear distance d between the thermal IR imager and the power grid equipment and determine whether a detection distance meets a detection requirement. 6. The live detection thermal IR imager for power grid equipment according to claim 5 , wherein the thermal IR imager is configured to intelligently recognize an equipment type, and allow manual adjustment if the recognized equipment type is inaccurate; determine a material type of the power grid equipment according to the equipment type and an appearance characteristic of the equipment, and allow manual adjustment if the recognized material type is inaccurate; set an emissivity according to the material type of the power grid equipment; select a corresponding diagnostic model according to the type of the detected equipment; automatically focus on positions of the detected equipment which need temperature measurement, read temperature measurement results, performing calculation according to a corresponding determination criterion to draw a conclusion, and generate a report. 7. A live detection method for power grid equipment, comprising following steps: S1, acquiring environmental temperature, humidity and wind speed, and performing environmental parameter setting; S2, determining whether an environment meets a standard environmental requirement, proceeding to step S3, if yes, and ending detection if not; S3, measuring a linear distance d to the equipment, and completing detection requirement setting; S4, determining whether there is a need to determine whether a detection distance meets a detection requirement; determining whether the detection distance meets the detection requirement if yes, and proceeding to step S5, if the detection requirement is met; S5, intelligently recognizing an equipment type, and allowing manual adjustment if the recognized equipment type is inaccurate; S6, determining a material type of the power grid equipment according to the equipment type and an appearance characteristic of the equipment, and allowing manual adjustment if the recognized material type is inaccurate; S7, setting an emissivity according to the material type of the power grid equipment; S8, selecting a corresponding diagnostic model according to the type of the detected equipment; and S9, automatically focusing on positions of the detected equipment which need temperature measurement, reading temperature measurement results, performing calculation according to a corresponding determination criterion to draw a conclusion, and generating a report. 8. The live detection method for power grid equipment according to claim 7 , wherein the determining whether a detection distance meets a detection requirement comprises: comparing the detection distance d with a minimum detection distance d min , which allows recognization of the detected power grid equipment; if d≤d min , determining that the detection distance meets the detection requirement; otherwise, determining that the detection distance does not meet the detection requirement and restarting the detection after changing the detection position. 9. The live detection method for power grid equipment according to claim 8 , wherein the minimum detection distance d min is calculated according to an equation: minimum detection distance d min =target length or height/(spatial resolution×number of pixels). 10. The live detection method for power grid equipment according to claim 8 , wherein after changing the detection position, ending detection if there is no suitable detection position.
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