A foreign object detection system for airport runways based on video analysis

Abstract

The present application discloses a foreign body detection system for airport runways based on video analysis, which relates to the field of video detection technology, and includes a camera device for capturing real-time video images of the airport runway surface; a video analysis and processing module for analyzing and processing real-time video images of the airport runway surface, performing safety analysis on foreign bodies on the airport runway according to the results of the analysis and processing, and formulating an early warning strategy according to the results of the safety analysis; an early warning module for executing the early warning strategy and sending a warning signal to the corresponding aircraft; and a communication module for sending notification information to airport staff. The present application has the effect of improving detection efficiency.

Description

Technical Field

[0001] The present application relates to the field of video detection technology, and in particular to an airport runway foreign object detection system based on video analysis. Background Art

[0002] At present, my country's civil aviation is in a period of rapid development. According to the plan, by 2030, my country will fully build a safe and efficient modern civil aviation system and realize the transformation from a major civil aviation country to a strong civil aviation country. Continuous safety is the permanent theme of civil aviation development, and the problems that threaten the safe operation of aircraft in the airfield are also receiving more and more attention. Foreign objects on the runway are the main hidden danger threatening the safe operation of civil aviation, and the automatic monitoring system for foreign objects on the runway is the guarantee of aviation safety. It is reported that various unsafe incidents caused by foreign objects on the runway are as high as 4 times per 10,000 take-offs and landings, and the global losses caused by foreign objects on the runway are at least 3-4 billion US dollars each year. Foreign objects on the runway are some foreign substances that may damage aircraft, such as metal parts, waterproof plastic sheets, gravel, paper scraps, leaves, etc., collectively referred to as foreign objects. Aircraft are quite fragile compared to foreign objects. A small piece of plastic sheet sucked into the engine may cause an air stop, a small screw or metal sheet or even a sharp stone may puncture the tire and cause a tire blowout, and the resulting tire fragments will damage the aircraft.

[0003] In the related art, when detecting foreign objects on airport runways, staff members drive vehicles onto the airport runways before and after the flight to detect foreign objects on the airport runways, and no analysis is performed on the foreign objects on the airport runways. As a result, this detection method not only has low detection efficiency, but also easily causes certain safety accidents, and there is room for improvement. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides an airport runway foreign object detection system based on video analysis.

[0005] In a first aspect, the present application provides an airport runway foreign object detection system based on video analysis, comprising:

[0006] a camera device for capturing real-time video images of the airport runway surface;

[0007] The video analysis and processing module is used to analyze and process the real-time video images of the airport runway surface, conduct safety analysis on foreign objects on the airport runway based on the analysis and processing results, and formulate early warning strategies based on the results of the safety analysis;

[0008] The early warning module is used to execute the early warning strategy and send warning signals to the corresponding aircraft;

[0009] The communication module is used to send notification information to airport staff.

[0010] Preferably, the video analysis processing module includes an image recognition unit, an information analysis unit and a foreign body marking unit;

[0011] The image recognition unit is used to obtain foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface according to the real-time video image recognition of the airport runway surface;

[0012] The information analysis unit is used to comprehensively analyze the foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface;

[0013] The foreign object marking unit is used to mark the corresponding foreign objects on the surface of the airport runway according to the analysis results of the comprehensive analysis.

[0014] Preferably, a comprehensive analysis is performed on the foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface, specifically including:

[0015] Evaluate the risk of potential safety hazards to aircraft based on the foreign object type information, foreign object location information and marking information corresponding to the foreign objects on the airport runway surface;

[0016] The risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is calculated by the formula Risk = ln(1+ψtype*lwz*n2);

[0017] Among them, ψtype represents the foreign object type coefficient corresponding to the foreign object on the airport runway surface, lwz represents the foreign object position coefficient corresponding to the foreign object on the airport runway surface, and n represents the number of markings corresponding to the foreign object on the airport runway surface;

[0018] Compare the risk factor Risk of potential safety hazards posed by foreign objects on the airport runway surface to the aircraft with the preset risk threshold interval [r1, r2];

[0019] If the risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is less than r1, there is no need to conduct a safety analysis on the foreign objects on the airport runway surface;

[0020] If the risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is between [r1, r2], then a safety analysis of foreign objects on the airport runway surface is required;

[0021] If the risk factor Risk>r2 of the potential safety hazard posed by foreign objects on the runway surface to the aircraft, the first warning information is outputted through the early warning module.

[0022] Preferably, the process of performing safety analysis on foreign objects on the surface of an airport runway specifically includes:

[0023] Obtaining basic information of foreign objects corresponding to foreign objects on the surface of an airport runway, wherein the basic information of foreign objects includes volume information, mass information and material information of foreign objects;

[0024] By formula Confirm the first foreign body influence coefficient E1 corresponding to the foreign body on the airport runway surface;

[0025] Among them, V, M, ρ respectively represent the actual volume coefficient, actual mass coefficient, and actual material coefficient corresponding to the foreign matter on the surface of the airport runway, V′, M′, ρ′ respectively represent the preset reference foreign matter volume coefficient, reference foreign matter mass coefficient, and reference foreign matter material coefficient, ω1, ω2, ω3 respectively represent weight coefficients, and e is a natural constant.

[0026] Preferably, the process of performing safety analysis on foreign objects on the surface of an airport runway specifically includes:

[0027] Based on the camera device, a real-time video image of the airport runway surface is captured, and then the foreign object position information corresponding to the foreign object on the airport runway surface is identified, and the corresponding speed information when the aircraft passes through the foreign object position is collected;

[0028] By formula Confirm the second foreign object influence coefficient E2 corresponding to the foreign object on the airport runway surface, where s and s′ represent the actual speed coefficient and the reference speed coefficient corresponding to the position of the foreign object when the aircraft passes through the position of the foreign object, and lsd represents the speed influence coefficient corresponding to the position of the foreign object on the airport runway surface;

[0029] The foreign body influence coefficient E corresponding to the foreign body on the airport runway surface is determined by the formula E=E1*a1+E2*a2, wherein a1 and a2 represent the weight coefficients corresponding to the preset first foreign body influence coefficient and the second foreign body influence coefficient respectively;

[0030] Compare the foreign object impact coefficient E corresponding to the foreign object on the airport runway surface with the preset foreign object impact threshold E′;

[0031] If the foreign object impact coefficient E≤E′ corresponding to the foreign object on the airport runway surface, there is no need to formulate an early warning strategy;

[0032] If the foreign object impact coefficient E>E′ corresponding to the foreign object on the airport runway surface, an early warning strategy needs to be formulated.

[0033] Preferably, the process of formulating an early warning strategy specifically includes:

[0034] P=(Risk-r1)*σ1+(EE′)*σ2

[0035] The comprehensive reference value P of the potential safety hazard posed by foreign matter on the airport runway surface to the aircraft is calculated by the above formula;

[0036] Among them, σ1 and σ2 represent the preset correlation functions;

[0037] Compare the comprehensive reference value P of the potential safety hazard posed by foreign objects on the runway surface to the aircraft with the preset standard threshold value P′;

[0038] If the comprehensive reference value P≤P′ of the potential safety hazard posed by the foreign matter on the runway surface to the aircraft, the second warning information is outputted through the early warning module;

[0039] If the comprehensive reference value P>P' of the potential safety hazard posed by foreign objects on the airport runway surface to the aircraft, the third warning information is output through the early warning module, and at the same time, a notification information is sent to the airport staff through the communication module.

[0040] Preferably, the process of the marking unit marking the corresponding foreign objects on the surface of the airport runway specifically includes:

[0041] Obtain the historical number of times each foreign object on the airport runway has impacted the aircraft, confirm the foreign object type information corresponding to each foreign object on the airport runway, and then mark each foreign object based on the historical number of times each foreign object on the airport runway has impacted the aircraft and the foreign object type information corresponding to each foreign object on the airport runway, and then confirm the number of markings corresponding to each foreign object on the airport runway.

[0042] In a second aspect, the present application provides a method for detecting foreign objects on an airport runway based on video analysis, comprising the following steps:

[0043] Capture real-time video images of airport runway surfaces;

[0044] Analyze and process real-time video images of the airport runway surface, conduct safety analysis of foreign objects on the airport runway based on the analysis and processing results, and formulate early warning strategies based on the results of the safety analysis;

[0045] Execute early warning strategies and send warning signals to corresponding aircraft;

[0046] Send notification information to airport staff.

[0047] In summary, this application includes the following beneficial technical effects:

[0048] The present invention provides an airport runway foreign object detection system based on video analysis, which captures real-time video images of the airport runway surface through a camera device, and analyzes and processes the real-time video images of the airport runway surface according to a video analysis and processing module, thereby effectively detecting foreign objects on the airport runway, thereby effectively improving the detection efficiency of foreign objects on the airport runway, and performing safety analysis on the foreign objects on the airport runway based on the results of the analysis and processing, and then formulating an early warning strategy based on the results of the safety analysis, thereby effectively reducing the occurrence of aircraft driving safety accidents caused by the presence of foreign objects on the airport runway. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0050] Figure 1 It is a system schematic diagram of airport runway foreign object detection based on video analysis in an embodiment of the present application.

[0051] Figure 2 It is a flow chart of a method for detecting foreign objects on an airport runway based on video analysis according to an embodiment of the present application. DETAILED DESCRIPTION

[0052] The following is combined with Figure 1-2 This application is described in further detail.

[0053] Example 1

[0054] The embodiment of the present application discloses an airport runway foreign object detection system based on video analysis.

[0055] Reference Figure 1 , an airport runway foreign object detection system based on video analysis, including a camera device, a video analysis and processing module, an early warning module and a communication module, wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules:

[0056] a camera device for capturing real-time video images of the airport runway surface;

[0057] The video analysis and processing module is used to analyze and process the real-time video images of the airport runway surface, conduct safety analysis on foreign objects on the airport runway based on the analysis and processing results, and formulate early warning strategies based on the results of the safety analysis;

[0058] The early warning module is used to execute the early warning strategy and send warning signals to the corresponding aircraft;

[0059] The communication module is used to send notification information to airport staff.

[0060] By adopting the above technical scheme, real-time video images of the airport runway surface are captured by a camera device, and the real-time video images of the airport runway surface are analyzed and processed according to the video analysis and processing module, thereby effectively detecting foreign objects on the airport runway, thereby effectively improving the detection efficiency of foreign objects on the airport runway, and based on the results of the analysis and processing, a safety analysis of foreign objects on the airport runway is performed, and then an early warning strategy is formulated based on the results of the safety analysis, thereby effectively reducing the occurrence of aircraft driving safety accidents caused by the presence of foreign objects on the airport runway.

[0061] Furthermore, the video analysis processing module includes an image recognition unit, an information analysis unit and a foreign body marking unit;

[0062] The image recognition unit is used to obtain foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface according to the real-time video image recognition of the airport runway surface;

[0063] Specifically, the real-time video images of the airport runway surface are collected by high-definition cameras installed on both sides of the airport runway, and the real-time video images of the airport runway surface are identified by extracting the visual features of the real-time video images corresponding to the input airport runway through a feature extractor, and then inputting them into the trained foreign object detection model to confirm the corresponding foreign object information on the airport runway surface.

[0064] The information analysis unit is used to comprehensively analyze the foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface;

[0065] The foreign object marking unit is used to mark the corresponding foreign objects on the surface of the airport runway according to the analysis results of the comprehensive analysis.

[0066] It should be noted that the foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign objects on the airport runway surface are comprehensively analyzed, including:

[0067] Evaluate the risk of potential safety hazards to aircraft based on the foreign object type information, foreign object location information and marking information corresponding to the foreign objects on the airport runway surface;

[0068] The risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is calculated by the formula Risk = ln(1+ψtype*lwz*n2);

[0069] Among them, ψtype represents the foreign object type coefficient corresponding to the foreign object on the airport runway surface, lwz represents the foreign object position coefficient corresponding to the foreign object on the airport runway surface, and n represents the number of markings corresponding to the foreign object on the airport runway surface;

[0070] Compare the risk factor Risk of potential safety hazards posed by foreign objects on the airport runway surface to the aircraft with the preset risk threshold interval [r1, r2];

[0071] If the risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is less than r1, there is no need to conduct a safety analysis on the foreign objects on the airport runway surface;

[0072] If the risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is between [r1, r2], then a safety analysis of foreign objects on the airport runway surface is required;

[0073] If the risk factor Risk>r2 of the potential safety hazard posed by foreign objects on the runway surface to the aircraft, the first warning information is outputted through the early warning module.

[0074] Through the above technical solution, the risk coefficient Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is calculated through the formula Risk=ln(1+ψtype*lwz*n2), wherein ψtype represents the foreign object type coefficient corresponding to the foreign object on the airport runway surface, and the coefficient is set according to the probability of foreign objects causing aircraft accidents and the severity of the accidents. lwz represents the foreign object position coefficient corresponding to the foreign object on the airport runway surface, and the coefficient is set according to the position of the foreign object on the airport runway, that is, the closer the foreign object position is to the aircraft take-off or landing route, the greater the probability of the foreign object position causing an aircraft accident, and the greater the value of lwz. n represents the number of marks corresponding to the foreign objects on the airport runway surface, that is, the greater the number of marks, the greater the harm of the foreign object to the aircraft.

[0075] It should be noted that the process of safety analysis of foreign objects on the surface of airport runways specifically includes:

[0076] Obtaining basic information of foreign objects corresponding to foreign objects on the surface of an airport runway, wherein the basic information of foreign objects includes volume information, mass information and material information of foreign objects;

[0077] By formula Confirm the first foreign body influence coefficient E1 corresponding to the foreign body on the airport runway surface;

[0078] Among them, V, M, ρ respectively represent the actual volume coefficient, actual mass coefficient, and actual material coefficient corresponding to the foreign matter on the surface of the airport runway, V′, M′, ρ′ respectively represent the preset reference foreign matter volume coefficient, reference foreign matter mass coefficient, and reference foreign matter material coefficient, ω1, ω2, ω3 respectively represent weight coefficients, and e is a natural constant.

[0079] Specifically, the foreign objects are analyzed based on their volume information, mass information and material information, and then the first foreign object influence coefficient corresponding to the foreign objects on the airport runway surface is confirmed, thereby effectively providing a data source. The larger the volume, the higher the mass and the harder the material of the foreign object, the greater the harm to the aircraft. Then, the actual volume coefficient, actual mass coefficient and actual material coefficient corresponding to the foreign objects on the airport runway surface are compared and calculated with the preset reference foreign object volume coefficient, reference foreign object mass coefficient and reference foreign object material coefficient, thereby confirming the authenticity of the first foreign object influence coefficient, wherein ω1, ω2 and ω3 are respectively represented as weight coefficients, which can be obtained by fitting historical data.

[0080] Furthermore, the process of safety analysis of foreign objects on the airport runway surface specifically includes:

[0081] Based on the camera device, a real-time video image of the airport runway surface is captured, and then the foreign object position information corresponding to the foreign object on the airport runway surface is identified, and the corresponding speed information when the aircraft passes through the foreign object position is collected;

[0082] By formula Confirm the second foreign object influence coefficient E2 corresponding to the foreign object on the airport runway surface, where s and s′ represent the actual speed coefficient and the reference speed coefficient corresponding to the position of the foreign object when the aircraft passes through the position of the foreign object, and lsd represents the speed influence coefficient corresponding to the position of the foreign object on the airport runway surface;

[0083] Specifically, by collecting the speed information corresponding to the position of the foreign object when the aircraft passes through the position of the foreign object, the second foreign object influence coefficient corresponding to the foreign object on the airport runway surface is confirmed. That is, the greater the corresponding speed when the aircraft passes through the position of the foreign object, the greater the harm of the foreign object to the aircraft.

[0084] The foreign body influence coefficient E corresponding to the foreign body on the airport runway surface is determined by the formula E=E1*a1+E2*a2, wherein a1 and a2 represent the weight coefficients corresponding to the preset first foreign body influence coefficient and the second foreign body influence coefficient respectively;

[0085] Compare the foreign object impact coefficient E corresponding to the foreign object on the airport runway surface with the preset foreign object impact threshold E′;

[0086] If the foreign object impact coefficient E≤E′ corresponding to the foreign object on the airport runway surface, there is no need to formulate an early warning strategy;

[0087] If the foreign object impact coefficient E>E′ corresponding to the foreign object on the airport runway surface, an early warning strategy needs to be formulated.

[0088] It should be noted that the process of formulating early warning strategies specifically includes:

[0089] P=(Risk-r1)*σ1+(EE′)*σ2

[0090] The comprehensive reference value P of the potential safety hazard posed by foreign matter on the airport runway surface to the aircraft is calculated by the above formula;

[0091] Among them, σ1 and σ2 represent the preset correlation functions, which are obtained by fitting the historical data;

[0092] Compare the comprehensive reference value P of the potential safety hazard posed by foreign objects on the runway surface to the aircraft with the preset standard threshold value P′;

[0093] If the comprehensive reference value P≤P′ of the potential safety hazard posed by the foreign matter on the runway surface to the aircraft, the second warning information is outputted through the early warning module;

[0094] If the comprehensive reference value P>P' of the potential safety hazard posed by foreign objects on the airport runway surface to the aircraft, the third warning information is output through the early warning module, and at the same time, a notification information is sent to the airport staff through the communication module.

[0095] Furthermore, the process of the marking unit marking the corresponding foreign objects on the surface of the airport runway specifically includes:

[0096] Obtain the historical number of times each foreign object on the airport runway has impacted the aircraft, confirm the foreign object type information corresponding to each foreign object on the airport runway, and then mark each foreign object based on the historical number of times each foreign object on the airport runway has impacted the aircraft and the foreign object type information corresponding to each foreign object on the airport runway, and then confirm the number of markings corresponding to each foreign object on the airport runway.

[0097] For example, if the number of times that gravel has historically impacted the aircraft is three, the number of times the mark corresponding to the gravel type is set to three.

[0098] Example 2

[0099] The embodiment of the present application also discloses a method for detecting foreign objects on an airport runway based on video analysis.

[0100] Reference Figure 2 , a method for detecting foreign objects on an airport runway based on video analysis, comprising the following steps:

[0101] S1. Capture real-time video images of the airport runway surface;

[0102] S2. Analyze and process the real-time video images of the airport runway surface, conduct safety analysis on foreign objects on the airport runway based on the analysis and processing results, and formulate early warning strategies based on the results of the safety analysis;

[0103] S3. Execute the early warning strategy and send warning signals to the corresponding aircraft;

[0104] S4. Send notification information to airport staff.

[0105] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0106] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0107] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An airport runway foreign object detection system based on video analysis, characterized in that: include: a camera device for capturing real-time video images of the airport runway surface; The video analysis and processing module is used to analyze and process the real-time video images of the airport runway surface, conduct safety analysis on foreign objects on the airport runway based on the analysis and processing results, and formulate early warning strategies based on the results of the safety analysis; The video analysis processing module includes an image recognition unit, an information analysis unit and a foreign object marking unit; The image recognition unit is used to obtain foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface according to the real-time video image recognition of the airport runway surface; The information analysis unit is used to comprehensively analyze the foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to the foreign object on the airport runway surface; The foreign object marking unit is used to mark the corresponding foreign objects on the surface of the airport runway according to the analysis results of the comprehensive analysis; Comprehensive analysis of foreign object type information, foreign object location information, foreign object basic information and marking information corresponding to foreign objects on the airport runway surface, including: Evaluate the risk of potential safety hazards to aircraft based on the foreign object type information, foreign object location information and marking information corresponding to the foreign objects on the airport runway surface; Through the formula Risk = ln (1 + ψtype * lwz * n 2 ), and calculate the risk factor Risk of foreign objects on the runway surface causing safety hazards to aircraft; Among them, ψtype represents the foreign object type coefficient corresponding to the foreign object on the airport runway surface, lwz represents the foreign object position coefficient corresponding to the foreign object on the airport runway surface, and n represents the number of markings corresponding to the foreign object on the airport runway surface; Compare the risk factor Risk of potential safety hazards posed by foreign objects on the airport runway surface to the aircraft with the preset risk threshold interval [r1, r2]; If the risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is less than r1, there is no need to conduct a safety analysis on the foreign objects on the airport runway surface; If the risk factor Risk of foreign objects on the airport runway surface causing safety hazards to aircraft is between [r1, r2], then a safety analysis of foreign objects on the airport runway surface is required; If the risk factor Risk of foreign matter on the runway surface causing potential safety hazards to the aircraft is greater than r2, the first warning message is output through the early warning module; The process of conducting a safety analysis of foreign objects on airport runway surfaces includes: Obtaining basic information of foreign objects corresponding to foreign objects on the surface of an airport runway, wherein the basic information of foreign objects includes volume information, mass information and material information of foreign objects; By formula Confirm the first foreign body influence coefficient E1 corresponding to the foreign body on the airport runway surface; Wherein, V, M, ρ represent the actual volume coefficient, actual mass coefficient, and actual material coefficient of the foreign matter on the airport runway surface, respectively; V′, M′, ρ′ represent the preset reference foreign matter volume coefficient, reference foreign matter mass coefficient, and reference foreign matter material coefficient, respectively; ω1, ω2, ω3 represent weight coefficients, respectively; and e is a natural constant; The process of conducting a safety analysis of foreign objects on the airport runway surface also includes: Based on the camera device, a real-time video image of the airport runway surface is captured, and then the foreign object position information corresponding to the foreign object on the airport runway surface is identified, and the corresponding speed information when the aircraft passes through the foreign object position is collected; By formula Confirm the second foreign object influence coefficient E2 corresponding to the foreign object on the airport runway surface, where s and s′ represent the actual speed coefficient and the reference speed coefficient corresponding to the position of the foreign object when the aircraft passes through the position of the foreign object, and lsd represents the speed influence coefficient corresponding to the position of the foreign object on the airport runway surface; The foreign body influence coefficient E corresponding to the foreign body on the airport runway surface is determined by the formula E=E1*a1+E2*a2, wherein a1 and a2 represent the weight coefficients corresponding to the preset first foreign body influence coefficient and the second foreign body influence coefficient respectively; Compare the foreign object impact coefficient E corresponding to the foreign object on the airport runway surface with the preset foreign object impact threshold E′; If the foreign object impact coefficient E≤E′ corresponding to the foreign object on the airport runway surface, there is no need to formulate an early warning strategy; If the foreign object impact coefficient E corresponding to the foreign object on the airport runway surface is greater than E′, an early warning strategy needs to be developed; The process of developing an early warning strategy includes: P=(Risk-r1)*σ1+(EE′)*σ2 The comprehensive reference value P of the potential safety hazard posed by foreign matter on the airport runway surface to the aircraft is calculated by the above formula; Among them, σ1 and σ2 represent the preset correlation functions; Compare the comprehensive reference value P of the potential safety hazard posed by foreign objects on the runway surface to the aircraft with the preset standard threshold value P′; If the comprehensive reference value P≤P′ of the potential safety hazard posed by the foreign matter on the runway surface to the aircraft, the second warning information is outputted through the early warning module; If the comprehensive reference value P of the potential safety hazard posed by foreign objects on the runway surface to the aircraft is greater than P′, a third warning message is output through the early warning module, and at the same time, a notification message is sent to the airport staff through the communication module; The early warning module is used to execute the early warning strategy and send warning signals to the corresponding aircraft; The communication module is used to send notification information to airport staff.

2. The airport runway foreign object detection system based on video analysis according to claim 1 is characterized in that: The process of the marking unit marking the corresponding foreign objects on the surface of the airport runway specifically includes: Obtain the historical number of times each foreign object on the airport runway has impacted the aircraft, confirm the foreign object type information corresponding to each foreign object on the airport runway, and then mark each foreign object based on the historical number of times each foreign object on the airport runway has impacted the aircraft and the foreign object type information corresponding to each foreign object on the airport runway, and then confirm the number of markings corresponding to each foreign object on the airport runway.

3. A method for detecting foreign objects on an airport runway based on video analysis, applied to a system for detecting foreign objects on an airport runway based on video analysis as described in any one of claims 1 to 2, characterized in that: The following steps are involved: Capture real-time video images of airport runway surfaces; Analyze and process real-time video images of the airport runway surface, conduct safety analysis of foreign objects on the airport runway based on the analysis and processing results, and formulate early warning strategies based on the results of the safety analysis; Execute early warning strategies and send warning signals to corresponding aircraft; Send notification information to airport staff.

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