UAV Telecommunication Module Identification via LIDAR and Network Correlation
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Solution Overview
Problem
Current systems lack the ability to effectively identify and manage unmanned aerial vehicles (UAVs) in real-time, particularly in situations where they violate regulations or pose privacy and safety concerns, due to the absence of a reliable method for determining the owner or controlling the UAV during flight.
Innovation Solution
A system that utilizes telecommunication modules associated with UAVs to store and retrieve location, subscriber, and device information, allowing for the identification and potential control of target UAVs through a networked system involving user equipment, a telecommunication network, and a command and control center, using technologies like LIDAR for location determination and cellular networks for data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UAVs are registered and tracked through telecommunication networks, then identification and control capability is improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent applies universality by utilizing existing telecommunication network infrastructure (cellular networks, data stores) for UAV identification rather than creating a separate dedicated tracking system. The telecommunication module in each UAV uses standard communication protocols to interact with existing network elements, allowing the system to leverage already-deployed infrastructure for multiple purposes including location tracking, identification, and potential control commands.
Solution Approach 2:
The patent introduces a telecommunication network as an intermediary between UAV operators and regulatory authorities. Instead of direct line-of-sight tracking or complex satellite systems, the network acts as a mediator that receives location information from UAVs, stores it in data stores, and enables identification queries by ground-based systems. This intermediary approach simplifies the overall system architecture by using a well-established communication backbone.
2Reliability
If real-time location tracking of UAVs is implemented, then safety and privacy monitoring is improved, but loss of time for data transmission and processing increases
Solution Approach 1:
The patent implements preliminary action by having UAVs continuously transmit their location information to the telecommunication network in advance of any potential safety issues. The data is stored in data stores before any identification or control actions are needed. This pre-positioning of data ensures that when safety concerns arise, the information is already available for immediate retrieval and action, minimizing response time.
Solution Approach 2:
The patent replaces direct real-time continuous monitoring with an on-demand query system. Instead of maintaining constant active communication channels for tracking, the system substitutes a store-and-retrieve mechanism where location data is asynchronously stored in telecommunication network data stores and can be queried when needed. This reduces the time overhead of continuous data transmission while maintaining safety monitoring capability.
3Loss of information
If telecommunication modules are integrated into all UAVs, then identification capability is improved, but manufacturing cost and device complexity increase
Solution Approach 1:
The patent applies universality by using standard telecommunication modules that are already widely manufactured and integrated into many consumer devices. Rather than designing custom identification modules for UAVs, the system leverages existing cellular communication technology that can be found in smartphones and other consumer electronics. This approach maintains identification capability while benefiting from the economies of scale already present in the telecommunication module manufacturing industry.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the real-time identification and potential management of UAVs that are flying dangerously or in restricted areas, allowing for the determination of the owner and facilitating actions to safely redirect or land the UAV, thereby addressing privacy and safety concerns.
Implementation Method 1
the beam device determines a location, a speed, and a direction of the target UAV based on a time of flight of the laser beam
Implementation Method 2
the beam device determines a location, a speed, and a direction of the target UAV based on a time of flight of the laser beam
Data Source
AI summary
A system and methodology to dynamically identify and control a UAV with a beam instrument is provided. Specifically, each UAV is provided with a telecommunication module. User equipment is provided with a beam device capable of measuring the distance, speed and location of a UAV. The user equipment is coupled to a command and control center through a command and control center network that can access a data store storing information about UAVs. Identification of the UAV is obtained through a telecommunication network that communicates with the telecommunication module to obtain location information and identity information for each telecommunication module associated with a UAV. The command and control center acquires the identity information and correlates the identity information with FAA register information from an FAA network. Identification of the target UAV is then communicated to the user equipment.