A process for sequencing digital signatures derived from sensor data to geolocate order of battle hierarchies (orbats)
Patent Information
- Authority / Receiving Office
- CA · CA
- Patent Type
- Applications
- Current Assignee / Owner
- LEE WYLDE MBE
- Filing Date
- 2024-03-13
- Publication Date
- 2024-09-26
AI Technical Summary
Existing systems lack the ability to accurately track the geographical locations of military units within order of battle (ORBAT) hierarchies, despite advancements in threat identification and dynamic mission planning.
A process involving the collection, processing, and sequencing of location-based data from GPS-equipped devices, using a software-defined application to generate digital signatures, integrate satellite imagery, and apply pseudo-anonymization, followed by hierarchical classification for geolocation and asset tagging, ensuring compliance with GDPR standards.
Enables accurate and secure geolocation of military units in near real-time, facilitating rapid data recall and production of geospatial files, enhancing the tracking of ORBAT hierarchies while safeguarding privacy.
Abstract
Description
TITLEA PROCESS FOR SEQUENCING DIGITAL SIGNATURES DERIVED FROM SENSOR DATA TO GEOLOCATE ORDER OF BATTLE HIERARCHIES (ORBATS)Background
[0001] The present invention relates in general to computer science, and, more specifically, to a process for the collection, ingestion, generative ontological labelling, processing, sequencing and exportation of grouped geolocated entities relating to order of battle (ORBAT) hierarchies.
[0002] One example of the prior art is U.S. Pat. No. 7,893,866, which describes a system for generating a look-ahead flight path comprising: a first database component operatively coupled with an electronic order of battle operative to maintain data extracted from said electronic order of battle; a second database component operative to maintain a plurality of platform position model data; a third database component operative to maintain final scoring array data; and a computer processor operatively coupled with said first database component, said second database component, said third database component, and a power supply; said computer processor programmed with a dynamic mission re-planning algorithm and instructions to execute said dynamic mission re-planning algorithm; said dynamic mission re-planning algorithm operable to calculate look-ahead flight path data.
[0003] Another example is U.S. Pat. No. 4,339,124, which discloses an electronic order of battle including an identification of locations of threats, characteristics of the threats, a prioritization of the threats, and / or other suitable information related to the threats. These threats may include, forexample, without limitation, signal intelligence emitters that may be capable of detecting aircraft. Electronic order of battle also includes an identification of communications intelligence and / or electronic signals intelligence that may pose a threat to aircraft. Electronic order of battle may be updated during flight of aircraft in response to threats that are identified during the flight.
[0004] The prior art including the examples above, however, are lacking in at least the ability to accurately track the geographical locations of military units.Summary of Invention
[0005] Thus, the present invention provides a linear process for sequencing passive location-based signal data. Utilising a software-defined application, the collection phase involves gathering location-based data derived from any physical device equipped with onboard global positioning system (GPS) modules, or through methods such as cellular triangulation or Wi-Fi beaconing.
[0006] The data undergoes transmission in packets to a central server, followed by a meticulous cleaning and validation phase to ensure its fitness for purpose and requisite features for subsequent multi-stage sequencing. A sophisticated processing engine interprets and validates the ingested high-dimensional data, ensuring conformity to schemata, attribute validation, and volume. To safeguard privacy, a pseudo-anonymization algorithm is executed, utilising a multi-criteria personal identifiable information (PH) hash algorithm for obfuscation. Subsequently, the data is prepared to meet minimum GDPR threshold requirements for its intended use.
[0007] A novel space-time digital signature geocookie is then generated to facilitate spatial memory, enabling future georecognition. The data is indexed based on multiple attributes and sorted for rapid recall. In a pivotal fusion point, a proprietary location-based enrichment source integrates with primary temporal geolocated data, incorporating data from satellite imagery and other relevant sources. Following fusion, a passive sequencing algorithm iterates over each data observation, measuring multi-factor criteria derived from geolocation, co-location, and passive positioning from onboard sensor measurements (GPS, gyroscope, magnetometer). These compound measurements are consolidated into a quality score embedded in a derived field within the core schema. The final stage involves applying a hierarchical classification algorithm to predict grouping components, augmenting the processed data with descriptors for the generation of a finalised schema with human-readable labels. These labels serve as metadata for asset tagging, facilitating rapid data recall, and culminating in the near real-time production of output files in common geospatial formats.Brief Description of the Drawings
[0008] FIG 1 is an illustrative representation of the system for digital signature sequencing for geolocating order of battle hierarchies (ORBAT™) globally in accordance with embodiments of the present invention.
[0009] FIG 2 is a flow diagram of a process according to an embodiment of the present invention.Detailed Description of the Drawings
[0010] The present invention's advantages and features are described herein in detail to enable someone with ordinary skill in the art to understand how to practice and how to make the present invention.
[0011] The detailed description provided herein is soleiy intended to serve as an example and is not intended to limit the described embodiments or their applications and uses. The terms "exemplary" or "illustrative" used in this document mean "serving as an example, instance, or illustration," and do not imply any preferred or advantageous implementation over others. The implementations described in this document are provided as examples to enable those skilled in the art to make or use the embodiments of the disclosure, without limiting the scope of the disclosure. Additionally, no expressed or implied theory presented in the preceding technical field, background, brief summary, or the following detailed description should be considered binding. The specific devices and processes illustrated in the attached drawings and described in the following specification are exemplary embodiments of the inventive concepts, and therefore any characteristics should not be considered limiting, unless expressly stated otherwise.
[0012] FIG. 1 is an illustrative representation of the process for digital signature sequencing for geolocating order of battle hierarchies (ORBATS) globally, as a system diagram, in accordance with embodiments of the present invention. The system diagram indicates the complete process to achieve and execute the data sequencing process to identify individual signatures pertaining to grouped thematic geolocated entities within an ORBAT.
[0013] LOCATION BASED SOURCE COLLECTION 101 is where any geospatial temporal data ingestions can be expressly applied to the process being patented in this application.
[0014] ASSET PAYLOAD RECEIVER 102 is the data packet ingested to a central data lake within 1 hour latency from point of capture anywhere on earth to a fixed server location.
[0015] The PROCESSING ENGINE 103 interprets the data and executes baseline validation across all captured features ensuring data types are valid and can be processed down stream.
[0016] INDEXED DATA 104 is where multiple iterations of the data are stored in a custom binary format along multiple indexes ready for rapid data recall. The storage location of the data in relation to the processing is critical for timely recall.
[0017] The LOCATION BASED ENRICHMENT SOURCE 105 is a compulsory fusion point where proprietary location based data derived from satellite imagery, and or other satellite derived sources is extracted, labelled, transformed and made ready for data enrichment with primary temporal geolocated data source. These compound measurements are finalised into a quality score embedded in a derived field within the core schema.
[0018] Once fused, the PASSIVE SEQUENCING 106 algorithm iterates over each data point observation for multi-factor criteria measurements derived from geolocation, co-location and passive positioning from onboard sensor measurements.
[0019] The HIERARCHICAL CLASSIFICATION 107 algorithm provides the grouping component by adding descriptors to the processed data allowing the generative schema to be finalised with human readable labels. These labels are added to the main data stores as metadata for overall asset tagging and rapid data recall and the near real-time final output is written to geospatial file format.
[0020] FIG 2 is a flow diagram of a process according to an embodiment of the present invention.
[0021] The location data may be obtained via wifi access point, base antenna, bluetooth beacon, or any other variations known in the art at a source device. Data can be handled by an embedded iOS and / or Android application along with a GPS, gyroscope and / or magnetometer.
[0022] Data can be processed one or more times by a processing engine for cleaning and validation before undergoing pseudo-anonymization as described above.
[0023] A geocookie is generated as described and undergoes a multi-sorted indexing. Satellite imagery from an open-source database undergoes geoprocessing into a fusion reference file which is combined with the geocookie in a central data store.
[0024] Then a multi-factor validation process is performed and a quality score is generated. A hierarchical classification is made and a multi-format geospatial file is produced.
[0025] The invention may be deployed in any industry, including, but not limited to, maritime insurance, transportation data, urban planning, military and defence, or any other variations known in the art.
[0026] The illustrations of embodiments described herein are intended to provide a general understanding of the structure of various embodiments, and they are not intended to serve as a complete description of all the elements and features of apparatus and systems that might make use of the structures described herein. Many other embodiments wili be apparent to those of skill in the art upon reviewing the above description.
[0027] Other embodiments may be utilized and derived from the present invention, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure.
[0028] Figures are also merely representational and may not be drawn to scale. Certain proportions thereof may be exaggerated, while others may be minimized. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. Thus, although specific embodiments have been illustrated and described herein, it should be appreciated that any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments.
[0029] Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description. Therefore, it is intended that the disclosure not be limited to the particular embodiment(s) disclosed.
Claims
What is claimed is:
1. A method of sequencing passive location-based signal data, comprising: gathering location-based data derived from one or more of a physical device equipped with an onboard global positioning system (GPS) modules, cellular triangulation and Wi-Fi beaconing; transmitting the location-based data in packets to a central server; validating the location-based data based on one or more of schemata, attribute validation, and volume; executing a pseudo-anonymization algorithm utilising a multi-criteria personal identifiable information (PH) hash algorithm for obfuscation; generating a space-time digital signature geocookie; indexing the location-based data based on two or more attributes sorting the location-based data for rapid recall; integrating a location-based enrichment data source integrates with primary temporal geolocated data; and using a passive sequencing algorithm to iterate over each data observation.
2. The method according to claim 1 , further comprising using the labels as metadata for asset tagging.
3. The method according to claim 1 , further comprising producing output files in one or more geospatial formats.
4. The method according to claim 1 , wherein the geocookie facilitates spatial memory enabling future georecognition.
5. The method according to claim 1 , wherein the enrichment data incorporates data from satellite imagery.
6. The method according to claim 1, wherein the passive sequencing algorithm measures multi-factor criteria derived from geoiocation, co-iocation, and passive positioning from onboard sensor measurements (GPS, gyroscope, magnetometer).
7. The method according to claim 1 , further comprising calculating a quality score.
8. The method according to claim 7, further comprising embedding the quality score in a derived field within the core schema.
9. The method according to claim 1, further comprising applying a hierarchical classification algorithm to predict grouping components.
10. The method according to claim 9, further comprising augmenting the processed data with descriptors for the generation of a finalised schema with human- readable labels.
11. The method according to claim 1 , wherein the location-based data is data geolocating order of battle hierarchies.