Systems and methods for facilitating imagery and point-cloud based facility modeling and remote change detection

1. A system for facilitating imagery and point-cloud based facility modeling and remote change detection, the system comprising:

at least one processor; and

at least one memory storing computer-executable instructions that when executed by the at least one processor, cause the system to:

receive, by a computing device, collected data for a facility;

analyze, by the computing device, based on one or more models generated for previously collected data for the facility, the collected data to determine at least one change in the previously collected data, wherein the models are generated by:

receiving spatial image data in the previously collected data, the spatial image data describing elements associated with a physical structure of the facility, wherein the spatial image data comprises image-derived point cloud data generated by one or more autonomous vehicles in proximity to the facility, the autonomous vehicles comprising at least one of a ground and airborne light imaging direction and ranging (LiDAR) system;

generating, from the spatial image data, a first three-dimensional model identifying and coding each of the elements;

assigning a first base-level buffer to each of the elements, the first base level buffer representing a variability threshold with respect to dimensions and characteristics associated with each of the elements, wherein the elements associated with the physical structure of the facility comprise at least a fence surrounding a perimeter of the facility and a transformer within the facility, wherein the facility comprises a public utility substation;

receiving multispectral and thermal image data in the previously collected data, the multispectral and thermal image data describing a color, spectral reflectance, and temperature range for each of the elements from one or more multispectral and thermal cameras;

generating, from the multispectral and thermal image data, a second three-dimensional model identifying and coding each of the elements; and

assigning a second base-level buffer to each of the elements, the second-base level buffer representing a variability threshold with respect to the color, spectral reflectance, and temperature range for each of the elements, wherein the variability threshold with respect to the color, spectral reflectance, and temperature range for each of the elements comprises at least a presence of moisture associated with the transformer based on the spectral reflectance;

update, by the computing device, the models upon determining the at least one change in the previously collected data; and

generate, by the computing device, an alert based on the updated models when the at least one change in the previously collected data is above a predetermined threshold corresponding to a current security or operational condition associated with the facility, wherein the alert is generated, at least in part, by determining that the at least one change in the previously collected data exceeds the variability threshold represented by the second base-level buffer for the transformer, wherein the variability threshold is exceeded when the transformer is no longer operating between an operational range of current and voltage levels due to the presence of the moisture.

2. The system of claim 1 , wherein the elements associated with the physical structure of the facility comprise:

fixed and dynamic objects within the facility; and

fixed and dynamic objects in a proximity to the facility.

3. The system of claim 1 , wherein the collected data is analyzed by:

comparing the first and second three-dimensional models to new spatial image, multispectral, and thermal image data in the collected data; and

determining a change in at least one of the elements based on the comparison.

4. The system of claim 1 , wherein the spatial image data comprises image data generated by one or more fixed sensors associated with the facility.

5. A computer-implemented method for facilitating imagery and point-cloud based facility modeling and remote change detection, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising:

receiving, by the computing device, collected data for a facility;

analyzing, by the computing device, based on one or more models generated for previously collected data for the facility, the collected data to determine at least one change in the previously collected data, wherein the models are generated by:

receiving spatial image data in the previously collected data, the spatial image data describing elements associated with a physical structure of the facility, wherein the spatial image data comprises image-derived point cloud data generated by one or more autonomous vehicles in proximity to the facility, the autonomous vehicles comprising at least one of a ground and airborne light imaging direction and ranging (LiDAR) system;

generating, from the spatial image data, a first three-dimensional model identifying and coding each of the elements;

assigning a first base-level buffer to each of the elements, the first base-level buffer representing a variability threshold with respect to dimensions and characteristics associated with each of the elements, wherein the elements associated with the physical structure of the facility comprise at least a fence surrounding a perimeter of the facility and a transformer within the facility, wherein the facility comprises a public utility substation;

receiving multispectral and thermal image data in the previously collected data, the multispectral and thermal image data describing a color, spectral reflectance, and temperature range for each of the elements from one or more multispectral and thermal cameras;

generating, from the multispectral and thermal image data, a second three-dimensional model identifying and coding each of the elements; and

assigning a second base-level buffer to each of the elements, the second-base level buffer representing a variability threshold with respect to the color, spectral reflectance, and temperature range for each of the elements, wherein the variability threshold with respect to the color, spectral reflectance, and temperature range for each of the elements comprises at least a presence of moisture associated with the transformer based on the spectral reflectance;

updating, by the computing device, the models upon determining the at least one change in the previously collected data; and

generating, by the computing device, an alert based on the updated models when the at least one change in the previously collected data is above a predetermined threshold corresponding to a current security or operational condition associated with the facility, wherein the alert is generated, at least in part, by determining that the at least one change in the previously collected data exceeds the variability threshold represented by the second base-level buffer for the transformer, wherein the variability threshold is exceeded when the transformer is no longer operating between an operational range of current and voltage levels due to the presence of the moisture.

6. The computer-implemented method of claim 5 , wherein the elements associated with the physical structure of the facility comprise:

fixed and dynamic objects within the facility; and

fixed and dynamic objects in proximity to the facility.

7. The computer-implemented method of claim 5 , wherein analyzing the collected data comprises:

comparing the first and second three-dimensional models to new spatial image, multispectral, and thermal image data in the collected data; and

determining a change in at least one of the elements based on the comparison.

8. The computer-implemented method of claim 5 , wherein the spatial image data comprises image data generated by one or more fixed sensors associated with the facility.

9. A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:

receive, by the computing device, collected data for a facility;

analyze, by the computing device, based on one or more models generated for previously collected data for the facility, the collected data to determine at least one change in the previously collected data, wherein the models are generated by:

receiving spatial image data in the previously collected data, the spatial image data describing elements associated with a physical structure of the facility, wherein the spatial image data comprises image-derived point cloud data generated by one or more autonomous vehicles in proximity to the facility, the autonomous vehicles comprising at least one of a ground and airborne light imaging direction and ranging (LiDAR) system;

generating, from the spatial image data, a first three-dimensional model identifying and coding each of the elements;

assigning a first base-level buffer to each of the elements, the first base-level buffer representing a variability threshold with respect to dimensions and characteristics associated with each of the elements, wherein the elements associated with the physical structure of the facility comprise at least a fence surrounding a perimeter of the facility and a transformer within the facility, wherein the facility comprises a public utility substation;

receiving multispectral and thermal image data in the previously collected data, the multispectral and thermal image data describing a color, spectral reflectance, and temperature range for each of the elements from one or more multispectral and thermal cameras;

generating, from the multispectral and thermal image data, a second three-dimensional model identifying and coding each of the elements; and

assigning a second base-level buffer to each of the elements, the second-base level buffer representing a variability threshold with respect to the color, spectral reflectance, and temperature range for each of the elements, wherein the variability threshold with respect to the color, spectral reflectance, and temperature range for each of the elements comprises at least a presence of moisture associated with the transformer based on the spectral reflectance;

update, by the computing device, the models upon determining the at least one change in the previously collected data; and

generate, by the computing device, an alert based on the updated models when the at least one change in the previously collected data is above a predetermined threshold corresponding to a current security or operational condition associated with the facility, wherein the alert is generated, at least in part, by determining that the at least one change in the previously collected data exceeds the variability threshold represented by the second base-level buffer for the transformer, wherein the variability threshold is exceeded when the transformer is no longer operating between an operational range of current and voltage levels due to the presence of the moisture.

10. The non-transitory computer-readable medium of claim 9 , wherein the elements associated with the physical structure of the facility comprise:

fixed and dynamic objects within the facility; and

fixed and dynamic objects in proximity to the facility.

11. The non-transitory computer-readable medium of claim 9 , wherein the collected data is analyzed by:

comparing the first and second three-dimensional models to new spatial image, multispectral, and thermal image data in the collected data; and

determining a change in at least one of the elements based on the comparison.

12. The non-transitory computer-readable medium of claim 9 , wherein the spatial image data comprises image data generated by one or more fixed sensors associated with the facility.