Self-adaptive environment perception and multi-mode switching control system and method for floating type black box

Abstract

The invention relates to the technical field of aerospace safety, in particular to a self-adaptive environment sensing and multi-mode switching control system and method for a floating black box. The system comprises an environment sensing module which is used for collecting multi-dimensional physical information such as water pressure, illumination and wave motion in real time; the central control module is used for judging falling into the sea, day and night and sea condition states based on the information and outputting multi-mode control instructions including emergency floating, daytime working, night working and energy-saving protection; the mode execution module is used for executing mechanical separation, positioning communication and underwater light source induction operation based on biological phototaxis; and the energy management module is used for cooperatively managing the solar energy and the energy storage unit to realize long-term endurance. The three technical bottlenecks that a traditional black box is difficult to search in marine accidents, weak in signal and short in endurance are solved.

Description

Technical Field

[0001] This invention relates to the field of aerospace safety technology, and more specifically, to an adaptive environmental perception and multi-mode switching control system and method for a floating black box. Background Technology

[0002] The "black box" (Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR)) is a crucial piece of equipment for uncovering the truth and analyzing the causes of air crashes. However, within the existing aviation safety system, there are significant technical bottlenecks in the design of black boxes for maritime air crashes, often leading to stalemates in search and rescue operations in deep-sea air disasters such as MH370.

[0003] The main problems with existing technologies are as follows:

[0004] The limitations of the "submersible" design: Current standard black box designs involve sinking to the seabed along with the aircraft wreckage. The deep-sea environment not only presents immense hydrostatic pressure but also severely hinders the transmission of radio signals. Search and rescue personnel primarily rely on underwater sonar beacons (ULBs) emitted by the black boxes for acoustic positioning. However, sound waves have extremely limited propagation distances (typically only a few kilometers) in the complex thermocline and salinity layers, and are easily blocked by seabed topography, resulting in extremely low search and rescue efficiency.

[0005] Limited time window for energy supply: Existing underwater positioning beacons are powered by built-in lithium batteries, and their standard operating time is typically only 30 to 90 days. Once the battery is depleted, the black box will completely lose its ability to communicate with the outside world, becoming a "dead iron" on the seabed, leading to the risk of permanent loss of valuable flight data.

[0006] Subtle visual and radar signature: Despite its striking orange-red paint, the black box is minuscule (typically the size of a shoebox) on the vast and turbulent sea. Identifying such a tiny non-metallic reflective source amidst the massive background clutter of the ocean is extremely difficult for search and rescue aircraft or satellite radar.

[0007] Lack of environmental interaction capabilities: Existing devices treat the ocean as a simple "physical medium," focusing on combating the corrosion and pressure of seawater, without considering how to utilize the rich biological resources in the ocean (such as fish schools and plankton) to actively enhance their own detection probability. Therefore, we design an adaptive environmental perception and multi-mode switching control system and method for a floating black box. Summary of the Invention

[0008] The purpose of this invention is to provide an adaptive environmental perception and multi-mode switching control system and method for a floating black box, so as to solve the problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention aims to provide an adaptive environmental perception and multi-mode switching control system for a floating black box, comprising: an environmental perception module for real-time acquisition of multi-dimensional physical information of the environment in which the black box is located.

[0010] The central control module, which is communicatively connected to the environmental perception module, includes a mode decision unit and a fault-tolerant processing unit. It is used to determine the current environmental state based on the multi-dimensional physical information and output corresponding working mode control instructions according to the preset strategy model. The instructions include at least instructions for triggering automatic separation, initiating biological induction, and switching working modes.

[0011] The mode execution module is communicatively connected to the central control module and is used to receive the control commands and execute positioning, communication, biological induction and mechanical separation operations corresponding to the working mode.

[0012] The energy management module is electrically connected to the central control module and the mode execution module, and is used to provide matching energy scheduling strategies for each module according to the current working mode.

[0013] As a further improvement to this technical solution, the environmental sensing module includes a water pressure detection unit, an ambient light detection unit, and a motion state detection unit.

[0014] The water pressure detection unit is used to monitor the external water pressure information of the black box, and its output serves as the main criterion for triggering the mechanical separation unit.

[0015] The ambient light detection unit is used to monitor the ambient light intensity information outside the black box, and its output serves as the main criterion for distinguishing between daytime and nighttime working modes.

[0016] The motion state detection unit is used to monitor the wave motion information outside the black box, and its output is used to adjust the operating parameters of the bio-induction unit or the system power consumption strategy.

[0017] As a further improvement to this technical solution, the central control module determines the current environmental state based on multi-dimensional physical information, specifically including the determination of the state of a fall into the sea accident, the determination of the day and night environmental state, and the determination of the state of sea disturbance.

[0018] As a further improvement to this technical solution, the mode execution module includes a mechanical separation unit, a biological induction unit, and a positioning and communication unit.

[0019] The mechanical separation unit is used to separate the black box from the carrier and float it up in response to the separation command.

[0020] The biological induction unit is used to activate the underwater light source in response to the biological induction command to attract marine organisms to gather, and to adjust the luminescence parameters of the underwater light source array based on the night working mode command or the energy-saving protection sub-mode command.

[0021] The positioning and communication unit is used to provide location information and external communication.

[0022] As a further improvement to this technical solution, the mode decision unit is configured to execute the following logic: when the water pressure detection unit detects that the external water pressure of the black box exceeds the preset water pressure separation threshold, the mechanical separation unit is triggered to generate an emergency floating mode command.

[0023] When in a non-emergency floating state, if the ambient light intensity information detected by the ambient light detection unit indicates that the light is sufficient, a daytime working mode command is generated, and the positioning communication unit is activated first in the daytime working mode.

[0024] When in a non-emergency floating state, if the ambient light intensity information detected by the ambient light detection unit indicates insufficient light, a night working mode command is generated, and the biological induction unit is activated first in the night working mode.

[0025] When the motion state detection unit detects that the wave motion information of the black box indicates that the environmental disturbance exceeds the preset comfort threshold, it generates an energy-saving protection sub-mode instruction in any working mode to reduce power consumption.

[0026] As a further improvement to this technical solution, the fault-tolerant processing unit is configured to: when any sensor data in the environmental perception module is abnormal or fails, activate a backup judgment strategy based on historical data or preset logic to maintain the basic functions of the system.

[0027] As a further improvement to this technical solution, the energy management module includes a solar energy acquisition unit, an energy storage unit, and an intelligent scheduling unit.

[0028] The solar energy collection unit is used to convert ambient light energy into electrical energy.

[0029] An energy storage unit, connected to the solar energy collection unit, is used to store electrical energy.

[0030] The intelligent scheduling unit is used to dynamically adjust the energy distribution strategy based on the energy status and current operating mode of the energy storage unit.

[0031] The energy management module is configured as follows:

[0032] When there is sufficient sunlight, solar energy is used first to supply power and charge the energy storage unit.

[0033] When there is insufficient sunlight, the system switches to power supply from the energy storage unit.

[0034] As a further improvement to this technical solution, the intelligent scheduling unit is also configured to execute a prediction-based energy allocation strategy, predict the energy supply and demand situation in the future period based on historical light data and the current energy storage status, and adjust the work plans of each functional unit in advance.

[0035] The second aspect of the present invention provides a method for an adaptive environmental perception and multi-mode switching control system for a floating black box, comprising: S1. Environmental perception and accident determination: continuously monitoring water pressure data, and immediately triggering a separation and buoyancy process when the accident is determined to be a sea-falling accident.

[0036] S2. Mode Decision and Initialization: After surfacing, the system decides whether to enter daytime mode or nighttime mode based on the ambient light intensity and initializes the corresponding functional units.

[0037] S3. Dynamic Execution and Induction: During night mode operation, the parameters of the biological induction light source are dynamically adjusted according to the real-time sea conditions; during all modes of operation, the power allocation is dynamically scheduled according to the energy status.

[0038] S4. Feedback and Adaptive Switching: Continuously monitor changes in the environment and system status. When changes exceed a threshold, adaptively switch the working mode or adjust the operating parameters.

[0039] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0040] 1. Intelligent Sensing and Active Separation Mechanism: This invention abandons the traditional design of a black box passively sinking. By sensing sudden pressure changes in real time and intelligently determining when the object has fallen into the sea, the system can automatically trigger separation and actively rise to the surface. This fundamentally avoids deep-sea searches, transforming complex deep-sea salvage into simple surface recovery.

[0041] 2. Ecologically Synergistic Signal Amplification System: This invention emits specific light underwater, actively attracting phototactic marine organisms to gather and form a "biological cloud" surrounding the device. This biological cluster can significantly increase the radar and infrared signature of the target, achieving "biologically empowered" signal amplification and greatly improving the probability of detection over vast sea areas.

[0042] 3. Energy Autonomous Architecture for Sustainable Operation: This invention integrates solar energy harvesting and intelligent energy storage management to construct a self-sustaining energy system. It can seamlessly switch between "daytime charging and nighttime use" modes based on ambient light levels, and predicts and schedules energy usage through algorithms. This completely breaks the time window of battery life, making it possible to achieve continuous operation for several years. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0045] Figure 2 This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] Example: Please refer to Figure 1 As shown, an adaptive environmental perception and multi-mode switching control system for a floating black box is provided, including: an environmental perception module for real-time acquisition of multi-dimensional physical information of the environment in which the black box is located.

[0048] In one specific embodiment, the environmental sensing module includes a water pressure detection unit, an ambient light detection unit, and a motion state detection unit.

[0049] The water pressure detection unit is used to monitor the external water pressure information of the black box, and its output serves as the main criterion for triggering the mechanical separation unit.

[0050] The ambient light detection unit is used to monitor the ambient light intensity information outside the black box, and its output serves as the main criterion for distinguishing between daytime and nighttime working modes.

[0051] The motion state detection unit is used to monitor the wave motion information outside the black box, and its output is used to adjust the operating parameters of the bio-induction unit or the system power consumption strategy.

[0052] In another embodiment, the specific implementation method of the motion state detection unit outputting the operating parameters of the bio-induction unit and the system power consumption strategy is as follows:

[0053] Parameter adjustment logic: The comprehensive value of sea state disturbance is divided into three levels: stable, moderate, and severe, corresponding to different adjustment schemes.

[0054] Stable sea conditions (overall value < comfort threshold): The biological induction unit operates at rated luminescence parameters, with luminescence frequency and power maintained at maximum values; the positioning and communication unit sends signals at normal intervals; and the system power consumption is configured normally.

[0055] In moderate sea states (comfort threshold ≤ comprehensive value < emergency threshold): the bio-induction unit reduces its luminous power by 10%-20% while maintaining the luminous frequency; the positioning and communication unit extends its transmission interval by 30%-50%; and the power consumption of other system units is reduced by 10%.

[0056] Severe sea conditions (comprehensive value ≥ emergency threshold): The biological induction unit switches to a low-power light emission mode, reducing the light emission power by 30%-50% and halving the light emission frequency; the positioning and communication unit extends the transmission interval by 100%-200%; the central control module enters a shallow sleep mode, retaining only the core perception and decision-making functions; and the total power consumption of the system is reduced by 40%-60%.

[0057] The central control module, which is communicatively connected to the environmental perception module, includes a mode decision unit and a fault-tolerant processing unit. It is used to determine the current environmental state based on the multi-dimensional physical information and output corresponding working mode control instructions according to the preset strategy model. The instructions include at least instructions for triggering automatic separation, initiating biological induction, and switching working modes.

[0058] The specific implementation method of the central control module outputting corresponding working mode control commands according to the preset strategy model is as follows:

[0059] Instruction generation logic: Based on the environmental state determination result, the corresponding target working mode is matched from the preset strategy model, and the start-stop rules of the functional units, parameter configuration standards and energy allocation principles under the mode are extracted and assembled into a composite control instruction containing multi-dimensional control requirements.

[0060] Command priority handling: Emergency floating mode commands have the highest priority and can forcibly interrupt other commands being executed and execute them first; daytime working mode commands and nighttime working mode commands have mutually exclusive regular priorities and are triggered according to environmental conditions; energy-saving protection sub-mode commands have superimposed priorities, do not change the core logic of the main mode commands, and only make adaptive corrections to the working parameters.

[0061] Command issuance mechanism: The closed-loop logic of "status verification - command issuance - feedback confirmation" is adopted. First, the central control module self-checks the current system energy status and the working condition of each component. After confirming that the command execution conditions are met, the command is issued. Simultaneously, the action response feedback of the mode execution module is received to ensure that the command is executed in place.

[0062] In one specific embodiment, the central control module determines the current environmental state based on multi-dimensional physical information, specifically including the determination of the state of the sea crash, the determination of the day and night environmental state, and the determination of the state of sea disturbance.

[0063] Fall into the sea accident status determination: Real-time reception of water pressure data from the water pressure detection unit, analysis of the rate characteristics and instantaneous state of water pressure change, and determination of a fall into the sea accident status when the water pressure change conforms to the sudden change pattern of a fall into the sea scenario and the instantaneous water pressure meets the preset separation conditions.

[0064] Day and night environment status determination: The light intensity data received from the ambient light detection unit is compared with the preset day and night characteristic determination criteria. If the light intensity meets the characteristics of a daytime environment, it is determined to be a daytime environment; if it meets the characteristics of a nighttime environment, it is determined to be a nighttime environment.

[0065] Sea state disturbance determination: Receive wave motion data from the motion state detection unit, including wave impact intensity, black box tilt attitude and wave frequency, and form a sea state disturbance level through comprehensive evaluation. If the level meets the characteristics of stable sea state, it is determined to be a stable sea state; if it meets the characteristics of severe sea state, it is determined to be a severe sea state.

[0066] In one specific embodiment, the mode execution module includes a mechanical separation unit, a biological induction unit, and a positioning communication unit.

[0067] The mechanical separation unit is used to separate the black box from the carrier and float it up in response to the separation command.

[0068] The biological induction unit is used to activate the underwater light source in response to the biological induction command to attract marine organisms to gather, and to adjust the luminescence parameters of the underwater light source array based on the night working mode command or the energy-saving protection sub-mode command.

[0069] The specific implementation method of the biological induction unit adjusting the luminescence parameters of the underwater light source array based on the night working mode command or the energy-saving protection sub-mode command is as follows:

[0070] The adjustment logic based on the nighttime working mode instruction is as follows: with the marine organism aggregation induction effect as the core objective, the luminescence parameters of the underwater light source array are adjusted to the optimal state to match the phototaxis of marine organisms. This includes selecting luminescence bands that are highly attractive to marine organisms and adopting a dynamic luminescence mode that simulates natural bioluminescence to ensure the formation of a multi-level biological aggregation effect.

[0071] The adjustment logic based on the energy-saving protection sub-mode instruction is as follows: under the premise of ensuring the basic biological induction effect, the core is to reduce energy consumption. Energy saving is achieved by adjusting the luminescence parameters. Specifically, this includes appropriately reducing the light source intensity, adjusting the cycle of the luminescence mode to reduce the duration of continuous luminescence, optimizing the luminescence frequency to avoid ineffective energy consumption, and dynamically adapting the adjustment range in combination with the sea state disturbance level. The more severe the sea state, the more the adjusted luminescence parameters are biased towards energy-saving needs.

[0072] Parameter Coordination Adjustment Mechanism: The adjustment of the luminescence parameters is linked to the power allocation strategy of the energy management module. When the energy management module reports sufficient energy storage capacity, the luminescence parameters corresponding to the basic induction effect are maintained even in the energy-saving protection sub-mode. When the energy storage capacity is insufficient, the luminescence parameters are further optimized to prioritize ensuring battery life.

[0073] The positioning and communication unit is used to provide location information and external communication.

[0074] The mode execution module is communicatively connected to the central control module and is used to receive the control commands and execute positioning, communication, biological induction and mechanical separation operations corresponding to the working mode.

[0075] In one specific embodiment, the mode decision unit is configured to execute the following logic: when the water pressure detection unit detects that the external water pressure of the black box exceeds a preset water pressure separation threshold, the mechanical separation unit is triggered to generate an emergency floating mode command.

[0076] The preset water pressure separation threshold is mainly set based on the difference between atmospheric pressure at the aircraft's cruising altitude and surface seawater pressure. This ensures that the threshold can reliably distinguish between "normal flight atmospheric pressure environment" and "rapid water entry overpressure scenario," thereby accurately triggering the separation mechanism and avoiding malfunctions.

[0077] When in a non-emergency floating state, if the ambient light intensity information detected by the ambient light detection unit indicates that the light is sufficient, a daytime working mode command is generated, and the positioning communication unit is activated first in the daytime working mode.

[0078] When in a non-emergency floating state, if the ambient light intensity information detected by the ambient light detection unit indicates insufficient light, a night working mode command is generated, and the biological induction unit is activated first in the night working mode.

[0079] When the motion state detection unit detects that the wave motion information of the black box indicates that the environmental disturbance exceeds the preset comfort threshold, it generates an energy-saving protection sub-mode instruction in any working mode to reduce power consumption.

[0080] The preset comfort threshold is set based on the hydrodynamic stability of the black box itself and the sustainable operating conditions of the energy system. This threshold is achieved by comprehensively quantifying the attitude tilt angle and sway frequency caused by waves, aiming to distinguish between two sea state states: "stable and efficient operation" and "reduced power consumption to ensure survival," in order to achieve a balance between safety and endurance.

[0081] The energy management module is electrically connected to the central control module and the mode execution module, and is used to provide matching energy scheduling strategies for each module according to the current working mode.

[0082] In another embodiment, the matching energy scheduling strategy of the energy management module is specifically the following scheduling method executed by the intelligent scheduling unit:

[0083] Daytime operating mode scheduling: Allocate 60%-70% of the power to the solar energy collection unit and energy storage unit to prioritize energy storage charging; allocate 20%-30% of the power to the positioning and communication unit to ensure basic positioning and communication; allocate ≤10% of the power to other auxiliary units to reduce non-core power consumption.

[0084] Nighttime operating mode scheduling: Allocate 40%-50% of the power to the biological induction unit to ensure the induction effect; allocate 30%-40% of the power to the positioning and communication unit to maintain positioning continuity; allocate 10%-20% of the power to the central control module and auxiliary units to ensure system stability.

[0085] Superimposed energy-saving protection sub-mode scheduling: Based on the original mode power allocation, reduce the power of the biological induction unit by 20%-30%, extend the signal transmission interval of the positioning communication unit by 50%-100%, retain the minimum operating power of the central control module, and recover the remaining redundant power to the energy storage unit.

[0086] Power tiered scheduling: When the energy storage unit's power is ≥80%, it is allocated at full power; when the power is 30%-80%, it is allocated at normal power; when the power is <30%, emergency energy-saving scheduling is activated, retaining only the minimum power of the positioning and communication unit and the basic power of the bio-induction unit, and suspending non-essential functions.

[0087] In one specific embodiment, the energy management module includes a solar energy acquisition unit, an energy storage unit, and an intelligent scheduling unit.

[0088] The solar energy collection unit is used to convert ambient light energy into electrical energy.

[0089] An energy storage unit, connected to the solar energy collection unit, is used to store electrical energy.

[0090] The intelligent scheduling unit is used to dynamically adjust the energy distribution strategy based on the energy status and current operating mode of the energy storage unit.

[0091] In another specific embodiment, the intelligent scheduling unit "dynamically adjusts the energy allocation strategy based on the energy storage unit's power status and current operating mode," specifically refers to a multi-condition, hierarchical energy management core algorithm. This strategy aims to ensure that limited power is prioritized for functions most critical to search and rescue survival, and to dynamically adjust system behavior based on remaining power and mission urgency.

[0092] Its specific connotation can be summarized into the following two levels:

[0093] Priority-based dynamic power budget allocation: The intelligent scheduling unit divides the system's power loads (such as satellite communication, bio-inducing light sources, and core controllers) into different priorities. Based on the "current operating mode" instructions sent by the central control module (e.g., prioritizing communication in daytime mode) and combined with the real-time power (SOC) reported by the energy storage unit, it calculates and allocates the maximum available power budget for each load in real time. For example, in nighttime mode with sufficient power, sufficient power is allocated to the bio-inducing light source to maintain optimal brightness; if the power drops to a moderate level, its power is reduced to extend battery life without turning off the light source.

[0094] Triggering a tiered energy-saving and function degradation mechanism: This strategy pre-sets multiple energy-saving tiers linked to power levels. When the energy storage unit's power falls below a certain threshold, the intelligent scheduling unit not only adjusts power allocation but also sends a signal to the central control module, triggering deeper system-level energy-saving behaviors. For example:

[0095] Level 1 energy saving: When the battery is low, reduce the signal transmission frequency of the positioning communication module (e.g., from once per minute to once every ten minutes).

[0096] Level 2 energy saving: When the power is critically low, the bio-induced light source is switched from continuous mode to a flashing mode with an extremely low duty cycle, and communication is further reduced.

[0097] Preservation Mode: Before the battery is about to run out, all non-core loads are forcibly shut down, and only the most basic timed "heartbeat" signal is maintained to maximize the system's detectable survival time.

[0098] The energy management module is configured as follows:

[0099] When there is sufficient sunlight, solar energy is used first to supply power and charge the energy storage unit.

[0100] When there is insufficient sunlight, the system switches to power supply from the energy storage unit.

[0101] In one specific embodiment, the intelligent scheduling unit is also configured to execute a prediction-based energy allocation strategy, predicting the energy supply and demand situation in the future period based on historical sunlight data and the current energy storage status, and adjusting the work plans of each functional unit in advance.

[0102] In another specific embodiment, the prediction-based energy allocation strategy executed by the intelligent scheduling unit is specifically implemented as follows:

[0103] Building a forecasting model and executing rolling forecasts:

[0104] The intelligent scheduling unit maintains a dynamically updated historical sunlight intensity-time curve model (e.g., recording solar charging efficiency at the same geographical location and time over the past few days). Combining the current energy storage status (remaining power) with the average power consumption model under the current operating mode, the unit can predict the energy supply and demand balance for a future period (such as the next day or the entire night) on an hourly basis. For example, it can predict that "based on historical data, sunlight will weaken in 3 hours, and the night will last for 10 hours, while the current battery power is only enough to support 8 hours of full-function operation."

[0105] Develop and implement forward-looking adjustments to work plans:

[0106] Based on the above predictions, the intelligent dispatching unit will proactively send optimization suggestions to the central control module or directly adjust the operating schedules of energy-consuming equipment before an actual energy shortage occurs. Its core logic is "pre-stocking during periods of abundance and conserving energy before shortages," and specific adjustments include:

[0107] Charging strategy adjustment: When continuous rain is predicted, even if there is plenty of sunshine at present, unnecessary loads will be reduced appropriately during daytime operation (such as slightly reducing communication frequency) to store more energy for reserves during difficult times.

[0108] Discharge strategy adjustment: When it is predicted that the battery life may be insufficient at night, a low-power "energy-saving protection sub-mode" will be activated in advance in the evening (when the battery is still relatively sufficient). For example, the brightness of the bio-inducing light source will be reduced in advance or it will be changed to intermittent flashing, and the frequency of positioning communication will be reduced, thereby "smoothly" reducing the average power consumption throughout the night and preventing the battery from being completely exhausted in the early morning.

[0109] Mode timing fine-tuning: During ambiguous periods such as the day-night transition, the system intelligently delays or advances the switching of operating modes based on predicted energy surplus or deficit (e.g., entering a high-power nighttime induced mode slightly later) to match the optimal energy production and consumption window.

[0110] See Figure 2As shown, a method for an adaptive environmental perception and multi-mode switching control system for a floating black box is provided, including: S1. Environmental perception and accident determination: continuously monitoring water pressure data, and immediately triggering the separation and buoyancy process when the accident is determined to be a sea-falling accident.

[0111] S2. Mode Decision and Initialization: After surfacing, the system decides whether to enter daytime mode or nighttime mode based on the ambient light intensity and initializes the corresponding functional units.

[0112] S3. Dynamic Execution and Induction: During night mode operation, the parameters of the biological induction light source are dynamically adjusted according to the real-time sea conditions; during all modes of operation, the power allocation is dynamically scheduled according to the energy status.

[0113] S4. Feedback and Adaptive Switching: Continuously monitor changes in the environment and system status. When changes exceed a threshold, adaptively switch the working mode or adjust the operating parameters.

[0114] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. An adaptive environmental perception and multi-mode switching control system for a floating black box, characterized in that, include: The environmental perception module is used to collect multi-dimensional physical information about the environment in which the black box is located in real time. The central control module, which is communicatively connected to the environmental perception module, includes a mode decision unit and a fault-tolerant processing unit. It is used to determine the current environmental state based on the multi-dimensional physical information and output corresponding working mode control instructions according to the preset strategy model. The instructions include at least instructions for triggering automatic separation, initiating biological induction, and switching working modes. The mode execution module is communicatively connected to the central control module and is used to receive the control commands and execute positioning, communication, biological induction and mechanical separation operations corresponding to the working mode. The energy management module is electrically connected to the central control module and the mode execution module, and is used to provide matching energy scheduling strategies for each module according to the current working mode.

2. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 1, characterized in that: The environmental sensing module includes a water pressure detection unit, an ambient light detection unit, and a motion state detection unit. Among them, the water pressure detection unit is used to monitor the external water pressure information of the black box, and its output serves as the main criterion for triggering the mechanical separation unit. The ambient light detection unit is used to monitor the ambient light intensity information outside the black box, and its output serves as the main criterion for distinguishing between daytime and nighttime working modes. The motion state detection unit is used to monitor the wave motion information outside the black box, and its output is used to adjust the operating parameters of the bio-induction unit or the system power consumption strategy.

3. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 1, characterized in that: The central control module determines the current environmental status based on multi-dimensional physical information, specifically including the determination of the state of the sea crash, the determination of the day and night environmental status, and the determination of the sea state disturbance status.

4. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 1, characterized in that: The mode execution module includes a mechanical separation unit, a biological induction unit, and a positioning and communication unit; Among them, the mechanical separation unit is used to separate the black box from the carrier and float it up in response to the separation command; The biological induction unit is used to activate the underwater light source in response to the biological induction command to attract marine organisms to gather, and to adjust the luminescence parameters of the underwater light source array based on the night working mode command or the energy-saving protection sub-mode command. The positioning and communication unit is used to provide location information and external communication.

5. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 1, characterized in that: The pattern decision unit is configured to execute the following logic: When the water pressure detection unit detects that the external water pressure of the black box exceeds the preset water pressure separation threshold, the mechanical separation unit is triggered to generate an emergency floating mode command. When in a non-emergency floating state, if the ambient light intensity information detected by the ambient light detection unit indicates that the light is sufficient, a daytime working mode command is generated, and the positioning communication unit is activated first in the daytime working mode. When in a non-emergency floating state, if the ambient light intensity information detected by the ambient light detection unit indicates insufficient light, a night working mode command is generated, and the biological induction unit is activated first in the night working mode. When the motion state detection unit detects that the wave motion information of the black box indicates that the environmental disturbance exceeds the preset comfort threshold, it generates an energy-saving protection sub-mode instruction in any working mode to reduce power consumption.

6. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 1, characterized in that: The fault-tolerant processing unit is configured to: when any sensor data in the environmental perception module is abnormal or fails, activate a backup judgment strategy based on historical data or preset logic to maintain the basic functions of the system.

7. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 1, characterized in that: The energy management module includes a solar energy acquisition unit, an energy storage unit, and an intelligent scheduling unit; Among them, the solar energy collection unit is used to convert ambient light energy into electrical energy; An energy storage unit, connected to the solar energy collection unit, is used to store electrical energy; The intelligent scheduling unit is used to dynamically adjust the energy distribution strategy based on the energy status and current operating mode of the energy storage unit. The energy management module is configured as follows: When there is sufficient sunlight, solar energy should be used first to power the energy and charge the energy storage unit. When there is insufficient sunlight, the system switches to power supply from the energy storage unit.

8. The adaptive environmental perception and multi-mode switching control system for a floating black box according to claim 7, characterized in that: The intelligent scheduling unit is also configured to execute a prediction-based energy allocation strategy, predicting the energy supply and demand situation in the future based on historical sunlight data and the current energy storage status, and adjusting the work plans of each functional unit in advance.

9. A method for implementing an adaptive environmental perception and multi-mode switching control system for a floating black box according to any one of claims 1-8, characterized in that: include: S1. Environmental Awareness and Accident Determination: Continuously monitor water pressure data, and immediately trigger the separation and buoyancy process when the accident is determined to be a fall into the sea. S2. Mode Decision and Initialization: After surfacing, the system decides whether to enter daytime mode or nighttime mode based on the ambient light intensity and initializes the corresponding functional units. S3. Dynamic Execution and Induction: During night mode operation, the parameters of the biological induction light source are dynamically adjusted according to real-time sea conditions; during all modes of operation, power allocation is dynamically scheduled according to energy status. S4. Feedback and Adaptive Switching: Continuously monitor changes in the environment and system status. When changes exceed a threshold, adaptively switch the working mode or adjust the operating parameters.

Images