EVTOL aircraft lighting control system and method
By establishing and sharing machine learning-based intelligent lighting control strategies, the problem of manual operation of eVTOL aircraft lighting control is solved, improving flight safety and efficiency, and reducing workload and maintenance time.
Patent Information
- Application Number
- CN202411497514.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-25
- Publication Date
- 2025-02-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Lighting control of existing eVTOL aircraft requires manual operation by pilots, resulting in increased crew workloads during critical flight phases, affecting flight safety and improving training and maintenance requirements.
By establishing data sets of real-time and historical data, and using machine learning algorithms deployed by ground data centers, preset weights and adjust thresholds according to different data types, improve intelligent lighting control strategies, and share control strategies through data link networks between aircraft-ground data centers-other aircraft.
Improves the crew's flight safety and efficiency, reduces workloads during critical flight phases, extends the average maintenance time of the lighting system, and improves the overall operational efficiency of the fleet and take-off and landing fields.
Smart Images

Figure CN119521498A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of aviation technology, and in particular to an eVTOL aircraft lighting control system and method. Background Art
[0002] Electric vertical take-off and landing aircraft (eVTOL) have the characteristics of vertical take-off and landing, strong maneuverability, and environmental protection and energy saving. They have shown broad prospects in urban transportation. For electric vertical take-off and landing aircraft eVTOL deployed on a large scale in urban operating environments, the cockpit design needs to support the concept of simplified flight to reduce the workload of the flight crew. In key flight stages such as approach and landing, the lighting brightness inside and outside the cockpit is one of the key factors to support pilot operations. The lighting control inside and outside the aircraft cockpit requires the pilot to manually control it at each flight stage, which increases the crew workload, especially in the early stage of vertical take-off and landing aircraft operation. Approach and landing under visual flight rules requires the pilot to concentrate on key operations such as aircraft attitude control. Other non-critical necessary operations will increase the pilot's workload and affect flight safety. At the same time, it increases the pilot's training requirements and equipment maintainability requirements. Summary of the invention
[0003] The purpose of the present invention is to provide an eVTOL aircraft lighting control system and method to solve the problems mentioned in the background technology. To achieve the above purpose, the present invention provides the following technical solutions: an eVTOL aircraft lighting control method, comprising the following contents:
[0004] Step 1: The control system associates real-time and historical data and creates a data set;
[0005] Step 2: The dataset is passed through the machine learning algorithm deployed in the ground data center, and the weights and adjustment thresholds are preset according to different data types to improve the lighting intelligent control strategy;
[0006] Step 3: Share the data link network built between the aircraft, the ground data center and other aircraft through control strategies.
[0007] Preferably, the real-time and historical data in step 1 include: from hovering to take-off stage, the corresponding internal and external lighting in the take-off stage should be in the on / off state; in the cruising stage, the STROBE / NAV, i.e., navigation anti-collision lights, should be in the on state; from circling to landing stage, the taxi / landing indicator lights should be in the on state, and the lights in the cockpit should be in the off or dim state; in an emergency state, the emergency lights should be in the on state; the brightness of each lighting light; the operating scene conditions of the electric vertical take-off and landing aircraft; the operating behavior and habits of the vertical take-off and landing aircraft pilot.
[0008] Preferably, the operating scene conditions include ambient brightness and lighting conditions of the vertical take-off and landing pad.
[0009] eVTOL aircraft lighting control system, including data processing module, ground data center module and data link network module;
[0010] Data processing module: associates real-time and historical data and creates data sets;
[0011] Ground data center module: The data set is passed through the machine learning algorithm deployed in the ground data center, and the weights and adjustment thresholds are preset according to different data types to improve the lighting intelligent control strategy;
[0012] Data link network module: Share the data link network built between this aircraft, ground data center and other aircraft through control strategy.
[0013] The technical effects and advantages of the present invention are as follows: the present invention can improve the flight safety and efficiency of the crew; reduce the workload of the crew during critical flight stages; increase the average maintenance time of the lighting system; and improve the overall operational efficiency of the fleet and take-off and landing field. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 is a structural diagram of the present invention;
[0015] Figure 2 It is the flight profile of vertical take-off and landing aircraft. DETAILED DESCRIPTION
[0016] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.
[0017] Example
[0018] The method of lighting control for an eVTOL aircraft includes the following:
[0019] (1) The control system associates real-time and historical data and establishes a data set, where both real-time data and historical data include but are not limited to the following data types:
[0020] like Figure 2 As shown in the figure, the lighting control logic of eVTOL in different flight stages. In each stage, the preliminary defined lighting control logic data is as follows:
[0021] Section A - From hovering to take-off, the corresponding internal and external lighting during the take-off stage should be on / off (the lights in the cockpit are off or dimmed (including the control panel lighting and floodlighting), and the take-off indicator light on the aircraft is on, etc.);
[0022] Section B - During the cruise phase, STROBE / NAV, or navigation anti-collision lights, should be on;
[0023] Section C - From circling to landing, the taxi / landing indicator lights should be on, and the lights in the cockpit should be off or dimmed.
[0024] In an emergency (such as failure of multiple motors, etc.), the emergency lights should be on;
[0025] The operating scenario conditions of the electric vertical take-off and landing aircraft (such as ambient brightness (weather and time), lighting conditions of the vertical take-off and landing platform, etc.);
[0026] The operating behaviors and habits of vertical take-off and landing aircraft pilots, etc.
[0027] (2) The dataset is passed through a machine learning algorithm deployed in a ground data center, with preset weights and adjustment thresholds based on different data types to improve the lighting intelligent control strategy;
[0028] (3) The data link network constructed between the aircraft, the ground data center and other aircraft will be shared through control strategies.
[0029] Specific examples: such as Figure 1 As shown, aircraft No. 01 controlled by pilot A landed on the vertical take-off and landing pad of Pudong Airport at 8 o'clock in the evening. Before landing, aircraft No. 01 automatically turned on the landing lights, turned off the floodlights in the cockpit, and brightened the control panel lighting, while retaining the options for adjusting the brightness of each lighting.
[0030] Pilot A sets the external lighting of the aircraft to 80% before approaching and landing according to the ambient light at that time and place (including weather conditions and the brightness of the lights on the vertical take-off and landing pad, etc.), and sets the floodlight brightness in the cockpit to 20% and the control panel lighting brightness to 70% to meet the best vision for visual approach and landing. This lighting control will be recorded and used as the automatic lighting adjustment strategy for the pilot's next landing under the same ambient light conditions, and this adjustment strategy will be routed to the ground data center through the airborne data link.
[0031] Twenty minutes later, aircraft No. 02 operated by pilot B lands at the same location. The ground data center will optimize the lighting control strategy based on changes in ambient light, pilot B's visual habits and other conditions (for example, adjust the brightness of the aircraft's external lighting to 85%, the brightness of the cockpit lighting to 15%, etc.), and route the optimized strategy to the airborne end through the data link to improve pilot B's environmental perception ability during the landing process, thereby improving landing safety and efficiency.
[0032] Similarly, aircraft No. 03 operated by pilot C, aircraft No. 04 operated by pilot D, and other entire operating fleets and related landing and take-off fields will form a closed loop in the strategy optimization of this system, thereby improving the overall operational safety and efficiency of the fleet and landing and take-off fields, and at the same time will increase the average maintenance time of the lighting system to a certain extent.
[0033] The eVTOL aircraft lighting control system described in this embodiment includes a data processing module, a ground data center module and a data link network module;
[0034] Data processing module: associates real-time and historical data and creates data sets;
[0035] Ground data center module: The data set is passed through the machine learning algorithm deployed in the ground data center, and the weights and adjustment thresholds are preset according to different data types to improve the lighting intelligent control strategy;
[0036] Data link network module: Share the data link network built between this aircraft, ground data center and other aircraft through control strategy.
[0037] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for controlling lighting of an eVTOL aircraft, characterized in that: Includes the following: Step 1: The control system associates real-time and historical data and creates a data set; Step 2: The dataset is passed through the machine learning algorithm deployed in the ground data center, and the weights and adjustment thresholds are preset according to different data types to improve the lighting intelligent control strategy; Step 3: Share the data link network built between the aircraft, the ground data center and other aircraft through control strategies.
2. The method for controlling lighting of an eVTOL aircraft according to claim 1, characterized in that: The real-time and historical data in step 1 include: from hovering to take-off stage, the corresponding internal and external lighting in the take-off stage should be on / off; in the cruising stage, the STROBE / NAV, i.e., navigation anti-collision lights, should be on; from circling to landing stage, the taxi / landing indicator lights should be on, and the lights in the cockpit should be off or dimmed; in an emergency, the emergency lights should be on; the brightness of each lighting; the operating scene conditions of the electric vertical take-off and landing aircraft; and the operating behavior and habits of the vertical take-off and landing aircraft pilot.
3. The method for controlling lighting of an eVTOL aircraft according to claim 2, characterized in that: The operating scenario conditions include ambient brightness and lighting conditions of the vertical take-off and landing pad.
4. An eVTOL aircraft lighting control system, used to implement the control method according to any one of claims 1 to 3, characterized in that: Includes data processing module, ground data center module and data link network module; Data processing module: associates real-time and historical data and creates data sets; Ground data center module: The data set is passed through the machine learning algorithm deployed in the ground data center, and the weights and adjustment thresholds are preset according to different data types to improve the lighting intelligent control strategy; Data link network module: Share the data link network built between this aircraft, ground data center and other aircraft through control strategy.
Citation Information
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