Environment self-adaptive rocket-borne camera and imaging method thereof

Abstract

The invention belongs to the technical field of spaceflight launch, and particularly relates to an environment self-adaptive rocket-borne camera and an imaging method thereof.The environment self-adaptive rocket-borne camera comprises a camera body, an illumination sensor, a temperature sensor, a pressure sensor, an acceleration sensor and a control module, and the control module comprises a parameter control module and an image stabilization module; the parameter control module is used for receiving environment data detected by the illumination sensor, the temperature sensor, the pressure sensor and the acceleration sensor and adjusting core parameters of the camera by adopting a self-adaptive multi-mode optimization algorithm according to the collected environment data; and the image stabilization module is used for starting an electronic image stabilization algorithm to correct an imaging result when the vibration amplitude exceeds a set threshold value. The method is high in environment adaptability and can meet the imaging requirement in the complex rocket launching environment.

Description

Technical Field

[0001] The present invention belongs to the field of space launch technology, and in particular relates to an environment-adaptive arrow-borne camera and an imaging method thereof. Background Art

[0002] At different stages of the rocket's flight, the onboard camera faces complex and changing lighting conditions. In the early stages of the launch, the strong light radiation generated by the rocket's tail flame will cause glare and overexposure in the images captured by the camera; as the rocket gradually takes off, the change in the angle of sunlight and its interference with multiple light sources reflected from the earth's surface will further increase the complexity of imaging; after entering outer space, the camera needs to deal with extreme light and dark contrasts, with one side exposed to strong solar radiation, while the other side may be completely in dark shadows. The onboard cameras in the existing technology cannot effectively cope with drastic changes in lighting conditions, such as strong light glare, overexposure, and loss of details in dark areas. During the rocket's ascent, due to the rapid changes in the lighting environment, existing cameras often lack the ability to adaptively adjust the dynamic range, resulting in unstable image quality. How can the onboard camera continue to provide high-quality video data in a flight environment where the light changes rapidly? This is a problem that needs to be solved.

[0003] In addition, arrow-borne cameras in the prior art are mostly based on fixed optical parameters and designs, and often have the problem of poor environmental adaptability. When faced with drastic environmental changes during the launch process (such as temperature, vibration, pressure, etc.), it is difficult to adjust in real time, resulting in a significant decline in image quality or equipment damage. Summary of the invention

[0004] In view of the problems that existing arrow-borne cameras have insufficient adaptability and unstable imaging quality in complex environments, the present invention proposes a design method, device and storage medium for an environment-adaptive arrow-borne camera to achieve adaptive adjustment of lighting conditions and adjust the camera's anti-vibration and anti-impact capabilities.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: an environmentally adaptive arrow-borne camera, including a camera body, and also including: a light sensor, a temperature sensor, a pressure sensor, an acceleration sensor and a control module, the control module including a parameter control module and an image stabilization module, the parameter control module is used to receive environmental data detected by the light sensor, the temperature sensor, the pressure sensor, and the acceleration sensor, and according to the collected environmental data, an adaptive multimodal optimization algorithm is used to adjust the core parameters of the camera; the image stabilization module is used to start the electronic image stabilization algorithm to correct the imaging result when the vibration amplitude exceeds a set threshold.

[0006] The environmentally adaptive arrow-borne camera also includes: a temperature control module, and the parameter control module is also used to control the working parameters of the temperature control module according to the temperature data collected by the temperature sensor and the pressure data collected by the pressure sensor, thereby controlling the internal working temperature and working pressure of the camera within a set range.

[0007] The temperature control module includes a heating module and a heat dissipation module.

[0008] The core parameters include exposure time, aperture size, and shutter speed.

[0009] The environmentally adaptive arrow-borne camera also includes a shock-absorbing structure arranged inside the camera body.

[0010] The image stabilization module is also used to start the optical image stabilization algorithm when the vibration amplitude exceeds a set threshold, and control the camera sensor to move in the opposite direction through the shock absorption structure.

[0011] In addition, the present invention also provides an imaging method of an environment-adaptive arrow-borne camera, comprising the following steps:

[0012] Step 1: Each sensor collects sensor data in real time;

[0013] Step 2: The parameter control module obtains the light data, temperature data, pressure data and vibration data collected by the light sensor, temperature sensor, pressure sensor and acceleration sensor, and inputs them into the adaptive multimodal optimization algorithm to adjust the core parameters of the camera;

[0014] Step 3: The image stabilization module obtains the vibration data collected by the vibration sensor and determines whether the vibration amplitude exceeds the set threshold. If it exceeds, the electronic image stabilization algorithm is activated to correct the imaging result.

[0015] The imaging method of the environment-adaptive arrow-borne camera further includes the following steps:

[0016] Step 4: The parameter control module calculates the working parameters of the temperature control module based on the temperature data and pressure data collected by the temperature sensor and the pressure sensor, and then controls the working temperature and working pressure of the arrow-borne camera within the set range.

[0017] The step 3 also includes the following steps: when the vibration amplitude exceeds a set threshold, the image stabilization module starts the optical image stabilization algorithm and controls the camera sensor to move in the opposite direction through the shock absorbing structure.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. Strong real-time adaptive capability: During the flight of a rocket, lighting conditions change rapidly, such as the strong tail flame at the beginning of the launch and the strong sunlight in outer space. The present invention can monitor these changes in real time and automatically adjust parameters such as exposure time, ISO and aperture size through an adaptive multimodal optimization algorithm to ensure that high-quality images are always obtained.

[0020] 2. High dynamic range imaging can be achieved: Rocket flight will experience alternating strong and weak light environments. The present invention automatically adjusts camera parameters through an adaptive multimodal optimization algorithm. The camera can effectively avoid detail loss due to overexposure or underexposure, improve the dynamic range of the image, and ensure the integrity of key data.

[0021] 3. Greatly enhanced image stability: Rockets will encounter strong vibrations and impacts during launch and flight. The present invention can monitor the vibration in real time through the vibration compensation technology of the rocket-borne camera, and automatically enable the electronic or optical stabilization function to ensure the capture of clear images under intense movement and prevent image blur.

[0022] 4. Long equipment life: In the present invention, the parameter control module controls the working parameters of the temperature control module according to the temperature data collected by the temperature sensor and the pressure data collected by the pressure sensor, thereby controlling the internal working temperature and working pressure of the camera within the set range, which can ensure the stable operation of electronic components under extreme conditions and avoid damage to single-machine equipment caused by sudden changes in pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of the structure of an environment-adaptive arrow-borne camera provided in Embodiment 1 of the present invention;

[0024] Figure 2 A schematic flow chart of an imaging method for an environment-adaptive arrow-borne camera provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0026] Embodiment 1

[0027] like Figure 1As shown, an embodiment of the present invention provides an environment-adaptive arrow-borne camera, including a camera body, a light sensor, a temperature sensor, a pressure sensor, an acceleration sensor and a control module, wherein the control module includes a parameter control module and an image stabilization module, wherein the parameter control module is used to receive environmental data detected by the light sensor, the temperature sensor, the pressure sensor and the acceleration sensor, and to adjust the core parameters of the camera using an adaptive multimodal optimization algorithm based on the collected environmental data; the image stabilization module is used to start an electronic image stabilization algorithm to correct the imaging result when the vibration amplitude exceeds a set threshold.

[0028] In this embodiment, multiple micro environmental sensors are integrated in the arrow-borne camera, including light sensors, temperature sensors, pressure sensors, acceleration sensors, etc. These sensors monitor changes in the external environment in real time, such as light intensity, external temperature, vibration amplitude, and pressure changes, and transmit the data to the control module of the camera.

[0029] The control module of the arrow-borne camera starts the adaptive multimodal optimization algorithm (AMOA) based on the acquired environmental data. The algorithm determines the specific type and degree of the current environmental change through comprehensive analysis of multiple factors such as light, vibration, temperature, etc., and selects the corresponding adaptive adjustment mode. The adaptive multimodal optimization algorithm dynamically adjusts the optical system of the arrow-borne camera through the environmental data collected by various sensors, and adjusts the core parameters of the camera in real time, such as exposure time, aperture size, shutter speed, etc., to adapt to complex lighting conditions, especially in strong light and dark contrast or rapidly changing light environments, to ensure that the dynamic range of the image is optimized, avoid overexposure or underexposure, and ultimately ensure image quality.

[0030] Specifically, the parameter control module is used to receive environmental data detected by light sensors, temperature sensors, pressure sensors, and acceleration sensors, and adjust the core parameters of the camera using an adaptive multimodal optimization algorithm based on the collected environmental data. The core parameters include exposure time, aperture size, and shutter speed (ISO).

[0031] Furthermore, the environment-adaptive arrow-borne camera of this embodiment further includes a shock-absorbing structure disposed inside the camera body. The image stabilization module is also used to activate an optical image stabilization algorithm when the vibration amplitude exceeds a set threshold, and control the camera sensor to move in the opposite direction through the shock-absorbing structure.

[0032] During the launch or flight of a rocket, the acceleration sensor monitors the vibration and impact of the rocket in real time. When the vibration amplitude exceeds the set threshold, the image stabilization module activates the image stabilization function, including the electronic image stabilization (EIS) algorithm, to correct the imaging results. In addition, the image stabilization module also uses the optical image stabilization (OIS) technology, combined with the internal shock absorption structure of the camera, to control the camera sensor to move in the opposite direction, effectively reducing the impact of vibration on imaging and ensuring image stability and clarity.

[0033] Furthermore, an environmentally adaptive arrow-borne camera of the present embodiment also includes: a temperature control module, and the parameter control module is also used to control the working parameters of the temperature control module according to the temperature data collected by the temperature sensor and the pressure data collected by the pressure sensor, thereby controlling the internal working temperature and working pressure of the camera within a set range.

[0034] Specifically, the temperature control module includes a heating module and a heat dissipation module.

[0035] When the onboard camera enters different altitudes and outer space, the temperature and pressure will change dramatically. The data fed back by the temperature sensor and pressure sensor will be transmitted to the temperature control module, which will start the corresponding temperature and pressure control mechanism according to the real-time temperature and pressure values. Through the control of the internal heating module or the heat dissipation module, the camera is kept within the appropriate operating temperature range, ensuring the stable operation of electronic components under extreme conditions and avoiding damage to single equipment caused by sudden pressure changes.

[0036] Embodiment 2

[0037] like Figure 2 As shown, the second embodiment of the present invention provides an imaging method of the environment-adaptive arrow-borne camera described in the first embodiment, comprising the following steps:

[0038] Step 1: Each sensor collects sensor data in real time.

[0039] Specifically, the sensors include a light sensor, a temperature sensor, a pressure sensor, and an acceleration sensor, and the collected sensor data include light data, temperature data, pressure data, and vibration data.

[0040] Step 2: The parameter control module obtains the light data, temperature data, pressure data and vibration data collected by the light sensor, temperature sensor, pressure sensor and acceleration sensor, and inputs them into the adaptive multimodal optimization algorithm to adjust the core parameters of the camera;

[0041] Step 3: The image stabilization module obtains the vibration data collected by the vibration sensor and determines whether the vibration amplitude exceeds the set threshold. If it exceeds, the electronic image stabilization algorithm is activated to correct the imaging result.

[0042] Furthermore, the step 3 also includes the following steps: when the vibration amplitude exceeds a set threshold, the image stabilization module starts the optical image stabilization algorithm and controls the camera sensor to move in the opposite direction through the shock absorbing structure.

[0043] Furthermore, the imaging method of an environment-adaptive arrow-borne camera of this embodiment further includes the following steps:

[0044] Step 4: The parameter control module calculates the working parameters of the temperature control module based on the temperature data and pressure data collected by the temperature sensor and the pressure sensor, and then controls the working temperature and working pressure of the arrow-borne camera within the set range.

[0045] The following is part of the source code for the imaging method of this embodiment:

[0046]

[0047]

[0048] """Simulate capturing an image"""

[0049] print("Capturing image...")

[0050] time.sleep(1)#Simulate image capture delay

[0051] print("Image captured successfully.")

[0052] def run(self):

[0053] """Camera main loop"""

[0054] print("Starting environment adaptive camera...")

[0055] while True:

[0056] self.adjust_settings()

[0057] self.capture_image()

[0058] time.sleep(2)#Continue capturing images

[0059] in:

[0060] Sensor class: simulates the functions of sensors (light, temperature, vibration) and generates random data through the read_data() method.

[0061] Camera class: Contains adaptive settings adjustment and image capture functions.

[0062] The adjust_settings() method dynamically adjusts the camera's exposure, ISO, and stability based on the data read by the sensor.

[0063] Automatically adjust the exposure value when the light is too strong or too weak.

[0064] Warning when temperature exceeds safe range.

[0065] Determines whether to enable image stabilization based on the intensity of the vibration.

[0066] In summary, the present invention provides an environment-adaptive arrow-borne camera and its imaging method, which monitors environmental factors such as light, temperature, vibration and pressure in real time and outputs them to a parameter control module. The parameter control module automatically adjusts the imaging parameters of the camera based on an adaptive multimodal optimization algorithm, including the camera's exposure time, ISO, aperture size, etc., to ensure that the camera obtains the best image quality under strong light, weak light and rapidly changing lighting conditions, and can adapt to imaging requirements in complex environments. In addition, the present invention also detects vibration parameters and activates electronic or optical image stabilization functions to reduce the impact of vibration on image quality and improve image clarity and stability. Its feasibility has been proven through a series of experiments, simulations and practical applications.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An environment-adaptive arrow-borne camera, comprising a camera body, characterized in that: Also includes: A light sensor, a temperature sensor, a pressure sensor, an acceleration sensor and a control module, wherein the control module includes a parameter control module and an image stabilization module, wherein the parameter control module is used to receive environmental data detected by the light sensor, the temperature sensor, the pressure sensor and the acceleration sensor, and to adjust the core parameters of the camera using an adaptive multimodal optimization algorithm based on the collected environmental data; and the image stabilization module is used to start an electronic image stabilization algorithm to correct the imaging result when the vibration amplitude exceeds a set threshold.

2. The environment-adaptive arrow-borne camera according to claim 1, characterized in that: Also includes: The temperature control module, the parameter control module is also used to control the working parameters of the temperature control module according to the temperature data collected by the temperature sensor and the pressure data collected by the pressure sensor, thereby controlling the internal working temperature and working pressure of the camera within a set range.

3. The environment-adaptive arrow-borne camera according to claim 2, characterized in that: The temperature control module includes a heating module and a heat dissipation module.

4. The environment-adaptive arrow-borne camera according to claim 1, characterized in that: The core parameters include exposure time, aperture size, and shutter speed.

5. The environment-adaptive arrow-borne camera according to claim 1, characterized in that: The invention also includes a shock absorbing structure arranged inside the camera body.

6. The environment-adaptive arrow-borne camera according to claim 5, characterized in that: The image stabilization module is also used to start the optical image stabilization algorithm when the vibration amplitude exceeds a set threshold, and control the camera sensor to move in the opposite direction through the shock absorption structure.

7. The imaging method of an environment-adaptive arrow-borne camera according to claim 1, characterized in that: The following steps are involved: Step 1: Each sensor collects sensor data in real time; Step 2: The parameter control module obtains the light data, temperature data, pressure data and vibration data collected by the light sensor, temperature sensor, pressure sensor and acceleration sensor, and inputs them into the adaptive multimodal optimization algorithm to adjust the core parameters of the camera; Step 3: The image stabilization module obtains the vibration data collected by the vibration sensor and determines whether the vibration amplitude exceeds the set threshold. If it exceeds, the electronic image stabilization algorithm is activated to correct the imaging result.

8. The imaging method of an environment-adaptive arrow-borne camera according to claim 7, characterized in that: The following steps are also included: Step 4: The parameter control module calculates the working parameters of the temperature control module based on the temperature data and pressure data collected by the temperature sensor and the pressure sensor, and then controls the working temperature and working pressure of the arrow-borne camera within the set range.

9. The imaging method of an environment-adaptive arrow-borne camera according to claim 8, characterized in that: The step 3 also includes the following steps: when the vibration amplitude exceeds a set threshold, the image stabilization module starts the optical image stabilization algorithm and controls the camera sensor to move in the opposite direction through the shock absorbing structure.

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