Airborne video monitoring system suitable for smoke detection of airplane cargo hold

Abstract

The invention belongs to the technical field of aircraft cargo compartment smoke detection, and particularly relates to an airborne video monitoring system suitable for aircraft cargo compartment smoke detection. The system comprises a visible light / infrared video monitoring camera, a humidity sensor, an infrared thermal imaging detector, an infrared supplementary lighting device, a video processing computer, a cockpit display, a cockpit control panel and the like. The system has cargo hold video monitoring functions such as cargo hold cargo loading and unloading process monitoring, flight process cargo hold video monitoring and the like, and also can realize cargo hold smoke detection function by analyzing multi-source data, namely visible light / infrared video images, infrared thermal imaging images and humidity sensor data. Compared with a traditional airborne photoelectric smoke detector, the smoke detection response time is effectively shortened, the false alarm rate can be reduced, and the comprehensive performance of a smoke detection system is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of aircraft cargo hold smoke detection, and in particular relates to an airborne video monitoring system suitable for aircraft cargo hold smoke detection. Background Art

[0002] With the vigorous development of the global air transport industry, the volume of air cargo transportation has increased significantly, and the safety of aircraft cargo holds has received increasing attention. Among them, fire prevention and timely detection are one of the important links to ensure flight safety. If a fire occurs in the cargo hold during flight and is not detected and handled in time, it will pose a serious threat to the safety of the aircraft and passengers. Therefore, reliable cargo hold smoke detection technology is a key guarantee for aviation safety.

[0003] Currently, smoke detection in aircraft cargo holds mainly relies on photoelectric smoke detectors, which detect smoke by detecting the scattering or blocking of light by smoke particles suspended in the air. However, while this technology can effectively detect smoke in theory, there are several significant challenges in practical applications:

[0004] Detection sensitivity: Photoelectric smoke detectors have better detection capabilities for larger particles of smoke, but have lower detection sensitivity for fine particles, especially the tiny smoke particles produced in the early stages of a fire. This delayed detection may result in failure to promptly warn of potential fire risks.

[0005] High false alarm rate: The environment in the aircraft cargo hold is complex. Temperature, pressure changes, and vibrations may cause fog or dust to appear in the cargo hold, thereby triggering false alarms from the photoelectric smoke detector and interfering with normal flight operations.

[0006] Lack of visual verification: Photoelectric smoke detectors cannot provide visual video images to assist in verification. This means that when the aircraft crew receives a smoke alarm, they cannot determine the authenticity of the alarm by viewing the real-time image inside the cargo hold, which increases the difficulty of handling false alarms and may delay the time to respond to a real fire.

[0007] In order to overcome the above shortcomings, in recent years, researchers have proposed introducing a video surveillance system in the cargo hold, capturing images of the interior of the cargo hold in real time and identifying smoke in combination with image processing technology. This system can not only improve the accuracy of smoke detection, but also provide visual image-assisted judgment for the crew. However, existing video surveillance systems are mainly used in ground monitoring scenarios and are not optimized for the special environment of aircraft cargo holds. Specifically, the application of video surveillance systems in cargo holds faces the following major challenges:

[0008] Intelligent image analysis: The shape and movement characteristics of smoke in the cargo hold are relatively complex, and simple image capture cannot meet the needs of accurate detection. The video surveillance system needs to be equipped with advanced image processing algorithms that can intelligently identify the characteristics of smoke that may appear in the cargo hold, reduce false alarms and missed alarms, and improve detection accuracy.

[0009] Visual Verification: Through the video surveillance system, the crew can view the situation inside the cargo hold in real time. After receiving a smoke alarm, they can immediately confirm the presence of smoke through images, thereby improving the efficiency of emergency response and reducing the interference of false alarms on flight operations.

[0010] In summary, the existing cargo hold smoke detection technology has many shortcomings, especially in the absence of visual verification, the false alarm rate is high and the efficiency of fire response is low. In order to solve these problems, it is urgent to develop an airborne video surveillance system that can adapt to the complex environment in the cargo hold to improve the accuracy of smoke detection, reduce false alarms, and ensure the stability and reliability of the system during flight. Summary of the invention

[0011] In view of this, the present invention provides an airborne video surveillance system suitable for aircraft cargo hold smoke detection. In addition to the cargo hold video surveillance functions such as monitoring the cargo loading and unloading process in the cargo hold and monitoring the cargo hold during flight, the system can also realize cargo hold smoke detection function by analyzing multi-source data, namely visible light / infrared video images, infrared thermal imaging images and humidity sensor data. Compared with traditional airborne photoelectric smoke detectors, the system can greatly shorten the smoke detection response time while reducing the false alarm rate and improving the comprehensive performance of the smoke detection system.

[0012] The technical solution of the present invention is:

[0013] An airborne video surveillance system suitable for aircraft cargo hold smoke detection, the system comprising:

[0014] Visible light / infrared video surveillance cameras, humidity sensors, infrared thermal imaging detectors, infrared fill light lighting devices and video processing computers;

[0015] Visible light / infrared video surveillance camera, used to collect visible light / infrared band video images in the cargo hold; the system realizes full coverage monitoring without blind spots in the cargo hold space based on the arrangement of multiple cameras;

[0016] Humidity sensor, used to detect humidity information in the cargo hold environment space;

[0017] Infrared thermal imaging detectors collect infrared thermal imaging signals of the cargo hold space to perform multi-point temperature measurement on the cargo hold space, thereby realizing monitoring of abnormal temperature in the cargo hold space;

[0018] Infrared fill-in lighting device, used to provide additional fill-in lighting for the cargo hold space, so that the visible light / infrared video surveillance camera can clearly capture all cargo hold spaces;

[0019] A video processing computer receives data from the visible light / infrared video surveillance camera, humidity sensor and infrared thermal imaging detector, and maintains data acquisition, video recording, video playback and real-time smoke detection analysis functions and programs, and is interconnected with the airborne security gateway to achieve communication with other airborne systems;

[0020] The video processing computer determines whether there is smoke in a specific area based on the collected signals, and generates an alarm signal if there is smoke.

[0021] Furthermore, the video processing computer communicates with a cockpit display and a cockpit control panel; the cockpit display is used to view or play back the surveillance video images of the system in real time;

[0022] The cockpit control panel is used to switch different camera viewing angles and control systems of the system.

[0023] Furthermore, the humidity sensor includes an independent humidity sensor and / or a humidity sensor integrated with a camera.

[0024] Furthermore, the visible light / infrared video surveillance camera is powered by standard 28VDC or Ethernet PoE.

[0025] The visible light / infrared video surveillance camera supports the ONVIF standard;

[0026] The resolution of the visible light / infrared video surveillance camera shall not be less than 1920*1080 pixels and not more than 3840*2160 pixels;

[0027] The visible light / infrared video surveillance camera is internally integrated with an AI computing module with a computing power of not less than 1TOPS to realize edge AI computing.

[0028] Furthermore, the infrared thermal imaging detector has a resolution of not less than 640*512 pixels;

[0029] The video processing computer stores a real-time smoke detection analysis algorithm, receives data from visible light / infrared video surveillance cameras, humidity sensors, and infrared thermal imaging detectors in real time, performs real-time smoke detection analysis, and sends the smoke detection analysis results and visible light / infrared video images to a cockpit display or alarm.

[0030] Further, the video processing computer is interconnected with the airborne security gateway, and the real-time smoke detection analysis results and visible light / infrared video images can be transmitted through the airborne security gateway via the airborne Ethernet;

[0031] Furthermore, in addition to wired transmission, the real-time smoke detection analysis results are wirelessly transmitted via an airborne wireless communication unit connected to an airborne security gateway.

[0032] Furthermore, the video processing computer is also equipped with a cargo hold video monitoring function;

[0033] The cargo hold video surveillance function is used to monitor the cargo loading and unloading process and the cargo hold video surveillance during the flight;

[0034] The video processing computer supports video recording as well as video playback for cockpit displays.

[0035] Furthermore, the real-time smoke detection analysis algorithm detects smoke in the cargo hold by comprehensively analyzing visible light / infrared video image features, temperature features, humidity features, and infrared thermal imaging features.

[0036] Furthermore, the visible light / infrared video image features include average pixel intensity, pixel standard deviation, first-order moment, second-order moment, third-order moment and image semantic features, and the feature extraction method includes traditional image processing methods and deep learning methods.

[0037] Beneficial effects of the present invention

[0038] Improve response speed: By combining the video surveillance system with advanced smoke detection image processing algorithms, the present invention can capture the smoke dynamics in the cargo hold in real time. Compared with traditional photoelectric smoke detectors, it can quickly detect smoke in the early stages of a fire, thereby achieving earlier warning and emergency response.

[0039] Reduce false alarm rate: The present invention can effectively distinguish smoke from other interferences (such as dust, fog, etc.) through the real-time images provided by the video surveillance system, combined with intelligent analysis, and effectively reduce the false alarm rate. This advantage helps to improve the reliability of flight operations and reduce flight delays and other unnecessary operational interference caused by false alarms.

[0040] Visualization-assisted verification: The visual images provided by the video surveillance system of the present invention enable the crew members to intuitively view the situation inside the cargo hold. After receiving a smoke alarm, the crew members can quickly confirm the authenticity of the alarm by viewing the real-time video, reduce operational delays caused by false alarms, and take corresponding emergency measures in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 The figure is a schematic diagram of the composition of the airborne video monitoring system suitable for aircraft cargo hold smoke detection according to the present invention. DETAILED DESCRIPTION

[0043] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0044] The following describes the embodiments of the present disclosure through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The present disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.

[0045] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein can be used to implement this device and / or practice this method.

[0046] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present disclosure. The illustrations only show components related to the present disclosure rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0047] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.

[0048] In one embodiment of the present invention, an onboard video surveillance system suitable for aircraft cargo hold smoke detection is provided. Figure 1 The system consists of: visible light / infrared video surveillance camera, humidity sensor, infrared thermal imaging detector, infrared fill light lighting device, video processing computer, cockpit display, cockpit control panel, etc.

[0049] in:

[0050] Visible light / infrared video surveillance cameras are used to collect visible light / infrared video images of the cargo hold. By arranging a reasonable number of cameras, full coverage monitoring of the cargo hold space can be achieved without blind spots;

[0051] Humidity sensor, used to detect humidity information in the cargo hold environment space. The equipment forms include two types: independent humidity sensor and humidity sensor integrated with camera;

[0052] Infrared thermal imaging detectors collect infrared thermal imaging signals of the cargo hold space to measure the temperature at multiple points in the cargo hold space, thereby monitoring abnormal temperature in the cargo hold space.

[0053] Infrared fill-in lighting device, used to provide additional fill-in lighting for the cargo hold space;

[0054] Video processing computer, which hosts functions and programs such as data acquisition, video recording, video playback, and real-time smoke detection analysis, and is interconnected with the airborne security gateway to achieve communication with other airborne systems;

[0055] Cockpit display, used to view or play back cargo hold camera surveillance video in real time;

[0056] Cockpit control panel, used to switch different camera perspectives and control systems.

[0057] In this embodiment, the visible light / infrared video surveillance camera can be powered by a standard 28VDC power supply or Ethernet PoE power supply.

[0058] In this embodiment, the visible light / infrared video surveillance camera supports the ONVIF standard.

[0059] In this embodiment, the resolution of the visible light / infrared video surveillance camera is not less than 1920*1080 pixels and not more than 3840*2160 pixels.

[0060] In this embodiment, the visible light / infrared video surveillance camera is internally integrated with an AI computing module with a computing power of not less than 1TOPS, which can realize edge AI computing.

[0061] In this embodiment, it is characterized in that the resolution of the infrared thermal imaging detector is not less than 640*512 pixels;

[0062] In this embodiment, the video processing computer stores a real-time smoke detection analysis algorithm. The video processing computer can receive data from visible light / infrared video surveillance cameras, humidity sensors, and infrared thermal imaging detectors in real time and perform real-time smoke detection analysis, and send the smoke detection analysis results and visible light / infrared video images to the cockpit display or alarm.

[0063] In this embodiment, the video processing computer is interconnected with the airborne security gateway, and the real-time smoke detection analysis results and visible light / infrared video images can be securely and reliably transmitted through the airborne Ethernet via the airborne security gateway; in addition to wired transmission, the real-time smoke detection analysis results can also be wirelessly transmitted through an airborne wireless communication unit connected to the airborne security gateway.

[0064] In this embodiment, in addition to the real-time smoke detection and analysis function, the video processing computer also has a cargo hold video monitoring function, such as monitoring the cargo loading and unloading process in the cargo hold, video monitoring of the cargo hold during flight, etc., and supports video recording and cockpit display video playback.

[0065] In this embodiment, the real-time smoke detection analysis algorithm detects smoke in the cargo hold by performing a comprehensive analysis of visible light / infrared video image features, temperature features, humidity features, infrared thermal imaging features, etc.

[0066] In this embodiment, the visible light / infrared video image features include average pixel intensity, pixel standard deviation, first-order moment, second-order moment, third-order moment, image semantic features, etc., and the feature extraction method includes traditional image processing methods, deep learning methods, etc.

[0067] In this embodiment, the real-time smoke detection analysis algorithm can effectively distinguish smoke, water vapor and dust, and can reduce the false alarm rate by more than 50% compared with the traditional photoelectric smoke detection system.

[0068] The above is only a specific implementation of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present disclosure should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. An airborne video surveillance system suitable for aircraft cargo hold smoke detection, characterized in that: The system comprises: Visible light / infrared video surveillance cameras, humidity sensors, infrared thermal imaging detectors, infrared fill light lighting devices and video processing computers; Visible light / infrared video surveillance camera, used to collect visible light / infrared band video images in the cargo hold; the system realizes full coverage monitoring without blind spots in the cargo hold space based on the arrangement of multiple cameras; Humidity sensor, used to detect humidity information in the cargo hold environment space; Infrared thermal imaging detectors collect infrared thermal imaging signals of the cargo hold space to perform multi-point temperature measurement on the cargo hold space, thereby realizing monitoring of abnormal temperature in the cargo hold space; Infrared fill-in lighting device, used to provide additional fill-in lighting for the cargo hold space, so that the visible light / infrared video surveillance camera can clearly capture all cargo hold spaces; A video processing computer receives data from the visible light / infrared video surveillance camera, humidity sensor and infrared thermal imaging detector, and maintains data acquisition, video recording, video playback and real-time smoke detection analysis functions and programs, and is interconnected with the airborne security gateway to achieve communication with other airborne systems; The video processing computer determines whether there is smoke in a specific area based on the collected signals, and generates an alarm signal if there is smoke.

2. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 1, characterized in that: The video processing computer communicates with the cockpit display and the cockpit control panel; the cockpit display is used to view or play back the surveillance video images of the system in real time; The cockpit control panel is used to switch different camera viewing angles and control systems of the system.

3. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 2, characterized in that: The humidity sensor includes a stand-alone humidity sensor and / or a humidity sensor integrated with a camera.

4. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 3, characterized in that: The visible light / infrared video surveillance camera is powered by standard 28VDC or Ethernet PoE; The visible light / infrared video surveillance camera supports the ONVIF standard; The resolution of the visible light / infrared video surveillance camera shall not be less than 1920*1080 pixels and not more than 3840*2160 pixels; The visible light / infrared video surveillance camera is internally integrated with an AI computing module with a computing power of not less than 1TOPS to realize edge AI computing.

5. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 4, characterized in that: The infrared thermal imaging detector has a resolution of no less than 640*512 pixels; The video processing computer stores a real-time smoke detection analysis algorithm, receives data from visible light / infrared video surveillance cameras, humidity sensors, and infrared thermal imaging detectors in real time, performs real-time smoke detection analysis, and sends the smoke detection analysis results and visible light / infrared video images to a cockpit display or alarm.

6. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 5, characterized in that: The video processing computer is interconnected with the airborne security gateway, and the real-time smoke detection analysis results and visible light / infrared video images can be transmitted through the airborne security gateway via the airborne Ethernet.

7. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 6, characterized in that: In addition to wired transmission, real-time smoke detection analysis results are transmitted wirelessly via an onboard wireless communication unit connected to an onboard safety gateway.

8. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 7, characterized in that: The video processing computer is also equipped with a cargo hold video monitoring function; The cargo hold video surveillance function is used to monitor the cargo loading and unloading process and the cargo hold video surveillance during the flight; The video processing computer supports video recording as well as video playback for cockpit displays.

9. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 8, characterized in that: The real-time smoke detection analysis algorithm detects cargo hold smoke by comprehensively analyzing visible light / infrared video image features, temperature features, humidity features, and infrared thermal imaging features.

10. The airborne video surveillance system for aircraft cargo hold smoke detection according to claim 9, characterized in that: The visible light / infrared video image features include average pixel intensity, pixel standard deviation, first-order moment, second-order moment, third-order moment and image semantic features, and the feature extraction method includes traditional image processing methods and deep learning methods.

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