Airport regionalization-based cobweb-like bird repelling network topological structure design

By designing spider-web-like topology structure and video key information compression technology in the airport bird-repelling system, the problem that traditional topology cannot take into account both speed and stability is solved, and the efficient bird-repellent and stable operation of the airport bird-repelling system is achieved, improving the efficiency of bird-repellent and stable operation of the airport bird-repelling system. Flight safety.

CN119135544APending Publication Date: 2024-12-13YANCHENG INST OF TECH +1
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Patent Information

Application Number
CN202311572076.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-11-21
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

The traditional computer network topology cannot take into account both speed and stability in the airport bird repelling system, and cannot effectively warn and drive away the bird flock. It also lacks intelligent algorithms and big data analysis, resulting in poor bird repelling effect.

Method used

A spider-web-like bird-repellent network topology structure based on airport regionalization is designed. Through a structure composed of central server, sub-region controller and peripheral equipment, combined with tree and mesh topology characteristics, it realizes rapid information transmission and stability. Video key information compression algorithm and deep learning technology are used to identify and disperse birds.

Benefits of technology

It realizes rapid transmission and stability of information in the airport bird repelling system, improves the timeliness and accuracy of bird repelling, reduces personnel participation and costs, and enhances flight safety.

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Abstract

The invention provides a cobweb-like bird repelling network topology structure based on airport regionalization, which is characterized in that a network is arranged according to characteristics of the airport regionalization in an analogy manner of a cobweb structure, so that an airport bird repelling system can accurately control each region and can also enable the regions to interact with one another. The airport area is distributed according to the specific condition of the airport, the airport data fed back by the lower-level area controller is analyzed through the central server, and a corresponding command is sent to the lower-level area controller according to the analyzed data condition. Each stage of sub-regional controller shares the pressure of the central server, receives a command sent by the superior controller, transmits the command to the subordinate equipment, and sends data information fed back by the subordinate equipment back to the superior equipment; meanwhile, adjacent controllers of the same level communicate with each other to feed back regional bird flock conditions. According to the characteristics of the spider-shaped net structure, the system can perform hierarchical control on each area through the central server to ensure the timeliness of bird repelling of the airport, and meanwhile, interconnection between adjacent areas also ensures the stability of the system.
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Description

Technical Field

[0001] The technical invention relates to application fields such as network layout, data compression, and topological structure, and is suitable for large-scale regional network deployment. It is designed for the bird-repellent network topological structure of the airport bird-repellent system, and is specifically a spider-web-like topological structure based on the regional characteristics of the airport. Background Art

[0002] In recent years, with the rapid development of aviation, the probability of bird strike accidents around the world has shown a clear upward trend. Major bird strike accidents occur from time to time, causing serious loss of life and property, and have attracted great attention from relevant departments of various countries. The frequent occurrence of bird strike accidents is a key and difficult problem for aviation stations and civil aviation airports. At present, most solutions for bird strikes use technical means such as sound waves, light beams, chemistry, and biology, such as gas cannons, sonic bird repellers, laser bird repellers, bird repellers, bird repellers, drone bird repellers, and bird repellers. Although it can have a certain effect, the lack of detection and identification devices, the inability to warn and evaluate the effect of repellers, the lack of intelligent algorithms, the single repeller means, the lack of pertinence, the lack of big data analysis and deep learning, etc., make the bird repeller fail to achieve the expected effect.

[0003] A professional R&D team has been formed to prevent bird strike incidents at airports. The team inherits the previous research results of related technologies such as radar detection of flying birds in complex backgrounds, optoelectronic and infrared identification, bird characteristics research, big data statistical analysis, artificial intelligence edge computing, deep learning, sound intensity and laser bird repellent technology, and adopts an "open and modular" design concept. It can be flexibly used according to airport deployment requirements, and has comprehensive prevention functions such as "intelligent detection and perception → data fusion processing → artificial intelligence edge computing → sound and light multi-energy repellent → repellent effect evaluation → machine deep learning". We have developed bionics and optoacoustic-electric integration, artificial intelligence airport detection, perception and bird repellent equipment, which can be used for military and civil airports around the clock and in all regions to perform detection and remote early warning of bird flocks and drones, and intelligently and targetedly implement efficient bird repellent, reduce personnel participation, reduce bird repellent costs, and improve identification and repellent efficiency. It has important theoretical and practical research significance for flight safety in the aviation industry.

[0004] Traditional computer network topologies, such as tree structures, mesh structures, and star structures, have a single structure, obvious shortcomings, and cannot take into account both speed and stability. They are not well suited for large-area environments such as airport bird-repelling systems. Therefore, a structure that is suitable for the rapid transmission of information in large-area bird-repelling environments is needed, and a structure that can detect problems in a timely manner when errors occur in bird-repelling, and quickly feed back to the superior controller for analysis, so as to solve the bird-repelling errors in a timely manner. At the same time, the stability of the bird-repelling system must be taken into account, so that when a fault occurs in the system, it can be detected in a timely manner and responded to quickly. Summary of the invention

[0005] The purpose of the present invention is to solve the problem that the traditional topological structure is not applicable to the airport bird-repelling system, and proposes a spider-web-like bird-repelling network topological structure design based on airport regionalization.

[0006] This technical invention is achieved through the following technical solutions:

[0007] A spider web-like bird-repellent network topology design based on airport regionalization is proposed. Its characteristic is that the network is laid out analogously to the spider web structure according to the regional characteristics of the airport, so that the airport bird-repellent system can not only accurately control each area, but also connect each area to enhance the stability of the bird-repellent system. First, the airport area is allocated according to the specific situation of the airport. The overall structure consists of a central server, sub-regional controllers at all levels and peripheral devices. The central server analyzes the airport data fed back by the lower-level regional controllers, and sends corresponding control commands to the lower-level regional controllers according to the analyzed data. The sub-regional controllers at all levels are mainly used to share the pressure of the central server, receive commands sent by the upper-level controller and transmit them to the lower-level devices, and send the data information fed back by the lower-level devices to the upper-level devices. At the same time, the adjacent controllers of the same level communicate with each other and feedback the regional bird flock status to each other. The peripheral devices move according to the commands of the upper-level controller. According to the characteristics of the spider web structure, the system can not only ensure the timeliness of the airport bird-repellent by hierarchical control of each area through the central server, but also ensure the stability of the bird-repellent system by interconnecting adjacent areas.

[0008] The system is composed of a central server, regional controllers at all levels and peripheral devices, and is characterized in that each part is allocated according to a tree topology structure, with the central server as the root node, the regional controllers at all levels as subtree nodes, and the peripheral devices at the lowest level of the system as the lowest leaf nodes. The central server issues tasks to the lower-level controllers according to the status of birds at the airport, and the lower-level controllers then control the movement of the peripheral devices.

[0009] The communication between adjacent controllers of the same level is characterized in that the controllers of the same level and the adjacent area controllers communicate with each other about the bird status information in the controlled area. After the bird-repelling control instruction of the current area is completed, the controller of the same level in the adjacent area is asked about the bird status in its area. If there is no bird status in the adjacent area, the adjacent area continues to ask its adjacent area for the bird status; if there is a bird status in the adjacent area, the information is fed back to the original area. After receiving the information, the original area feeds back the information to the superior controller, thereby speeding up the superior controller's judgment on the direction of bird repelling.

[0010] The data information to be transmitted is characterized in that the control commands to the subordinates are transmitted in sequence from the central server to the subordinate controller and then to the peripheral device group. When the peripheral device group obtains bird information in the area through radar and photoelectric camera, the information is compressed using a key information video compression algorithm, and the compressed video information is transmitted to the superior, and finally the information is processed and analyzed at the central server. Binary format information is transmitted between adjacent controllers of the same level to ensure that the system can quickly determine the bird expulsion status, that is, to send "yes" or "no" whether there are birds in the area.

[0011] Compared with the prior art, this invention has the following advantages:

[0012] (1) The spider-web-like topology of the present invention is characterized by combining the advantages of traditional tree topology, mesh topology and star topology. The tree topology is used for resource scheduling. The central server sends commands to the relevant lower-level controllers, which are then further distributed downward until the peripheral device group receives the commands. This allows the commands to be quickly delivered to the device group, and the birds are quickly driven away. At the same time, the mesh topology is used to communicate with adjacent controllers of the same level to determine whether the equipment is normal and whether there are birds in the responsible area.

[0013] (2) The information compression technology of the present invention is characterized in that it uses a method for compressing key video information. After the peripheral optoelectronic camera collects information, the video information is sent to the upper-level controller, and the received video information is analyzed at the upper-level controller. It mainly distinguishes whether there are birds, and compresses the video information fragments where birds appear with the bird information as the key frame. The compression of bird information pays more attention to clarity, while the compression of other information pays more attention to size, so that the central server can quickly make analysis decisions after receiving the information. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present technical invention is further described below with reference to the accompanying drawings and embodiments.

[0015] Figure 1 It is a spider web-like topological structure diagram

[0016] Figure 2 This is the network diagram of the airport area module

[0017] Figure 3 This is the central server workflow diagram

[0018] Figure 4 It is IPB video compression image

[0019] Figure 5 This is the mutual detection flow chart of the secondary controller

[0020] Figure 6 The diagram of the two-level controllers communicating with each other DETAILED DESCRIPTION

[0021] The present invention is further described below using drawings and examples. The drawings described herein are used to provide a further understanding of the present invention, constitute a part of this application, and do not constitute a limitation of the present invention.

[0022] This design adopts the integration of traditional tree topology and mesh topology. The tree topology is used to transmit data between the upper and lower levels. At the same time, the mesh topology is used for communication between adjacent controllers at the same level. The structure diagram is as follows: Figure 1 shown.

[0023] When designing the airport bird repellent system, considering that the airport is an interconnected spatial area, the network layout is carried out for this spatial area. Figure 2 As shown, the airport area is first divided into eight directional modules, namely, east, south, west, north, southeast, southwest, northeast and northwest. At the same time, the importance of the eight directional modules is divided, and the subordinate modules are divided according to the degree of importance. The weight level of the subordinate modules is increased in the area with a large number of birds near the periphery, so that the area can quickly identify and drive away birds.

[0024] Let the distance from the module group to the runway be α, the bird danger level be β, the number of birds be γ, and the weight levels be 5, 3, and 2 respectively;

[0025] Area weight K i The proportion is:

[0026]

[0027] The importance levels are divided according to the regional weight ratios, and resources are allocated preferentially to high-level areas to quickly drive away birds.

[0028] The core of the system is the central server, which is mainly responsible for analyzing and processing the information fed back by the equipment and formulating bird-repelling strategies based on the results of the processing, and scheduling the corresponding equipment through the formulated bird-repelling strategies. Figure 3 After a bird-repelling activity is completed, the current bird-repelling activity results are analyzed and learned, and the learning results are recorded in the database. The learning results are directly called when a similar situation occurs next time.

[0029] Each controller at each level is responsible for sending data information fed back by the subordinate to the superior, and sending instructions to the subordinate after receiving instructions from the superior.

[0030] After the central server sends the command, the first-level controller processes the command and determines the lower-level controller that needs to receive the command, preventing the command from being sent to other lower-level controllers, thereby increasing the system burden. At the same time, the first-level controller also monitors the information of the lower-level equipment to prevent the bird-repelling from being properly performed due to equipment damage, which affects the aircraft equipment and also plays a certain role in sharing the operating pressure of the central server.

[0031] After receiving the command from the upper level, the secondary controller processes it and controls the peripheral equipment group to perform corresponding actions. At the same time, after the peripheral equipment feedbacks information, it processes the information and sends it to the upper level controller. After receiving the identification information, the information is pre-processed. When the peripheral optoelectronic camera device returns the video information, it needs to compress the video information before uploading it: When the secondary controller obtains the video, it first analyzes the video information, mainly dividing the video into I frame, P frame and B frame according to whether there is bird information in the video. Figure 4 shown.

[0032] The I frame represents the presence of birds in the video information at this time. Therefore, the I frame image compression multiple is relatively low, retaining the key information of the bird, so that the central server can quickly and accurately determine the location, size, speed and other information of the bird when processing the data, and formulate corresponding expulsion strategies in time;

[0033] P-frame and B-frame images use inter-frame coding, which uses spatial and temporal correlations at the same time. P-frames represent images before the birds appear, and use forward time prediction to improve compression efficiency, so that the images can be quickly matched with I-frame information during analysis to determine the location and flight direction of the birds. B-frame images use a method of predicting future frames to predict the direction of the birds' flight in advance, ensuring that we can observe in time whether all the birds have flown away.

[0034] At the same time, adjacent controllers of the same level are connected. Their function is to check each other whether the equipment can be used normally before the bird repelling starts, and whether the bird repelling effect is achieved after the bird repelling ends. The flow chart is as follows Figure 5 When the secondary controller analyzes the image information P frame information fed back by the peripheral device, it sends the verification code to the adjacent controllers in time. When the adjacent controller returns the corresponding code correctly, normal operation can be ensured. At the same time, the adjacent controller continues to send the code to the next adjacent controller until all controllers receive and send the verification code twice at the same time. Figure 6As shown, after stopping, the information is fed back to the primary controller, and the primary controller also performs this operation once. When waiting for the end of a bird-repelling operation, that is, when the secondary controller feeds back the B frame information, if there are no birds in the area, it sends a message with the area status code "00" or "01" to the adjacent controller. If there are no birds in the adjacent area, it continues to send "00" to its adjacent area. If there are birds, it feeds back the code "01". At this time, the controller gets the information and feeds back to the upper level in time to ensure that there are no birds in the entire airport.

[0035] The peripheral equipment group mainly includes radar, photoelectric camera and other identification devices, as well as laser, strong sound, gas cannon and other driving devices. The identification device monitors the area information and feeds it back to the upper controller for processing, and then executes the corresponding action according to the instructions sent by the upper controller. Through the combination of upper and lower devices and the mutual monitoring between the same level devices, the whole bird-repelling system can work stably and the birds in the area can be quickly driven away.

[0036] The specific implementation method described above provides a detailed explanation of the purpose, technical scheme and beneficial effects of the technical invention. It should be understood that the above is only a specific implementation method of the technical invention and is not used to limit the protection scope of the technical invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the technical invention should be included in the protection scope of the technical invention.

Claims

1. A spider web-like bird-repellent network topology design based on airport regionalization is proposed. Its characteristics are According to the regional characteristics of the airport, the network is laid out in an analogy with the spider web structure, so that the airport bird-repellent system can not only accurately control each area, but also allow each area to communicate with each other to enhance the stability of the bird-repellent system. First, the airport area is allocated according to the specific situation of the airport. It is generally composed of a central server, sub-regional controllers at all levels, and peripheral devices. The central server analyzes the airport data fed back by the lower-level regional controller, and sends corresponding control commands to the lower-level regional controller based on the analyzed data. The sub-regional controllers at all levels are mainly used to share the pressure of the central server, receive commands sent by the upper-level controller, and transmit the data information fed back by the lower-level equipment to the upper-level equipment. At the same time, the adjacent controllers of the same level communicate with each other and feedback the status of the regional bird flocks to each other. The peripheral equipment moves according to the commands of the upper-level controller. Based on the characteristics of the spider-web structure, the system can ensure the timeliness of the airport's bird-repellent by controlling each area in a hierarchical manner through the central server, while the interconnection between adjacent areas ensures the stability of the bird-repellent system.

2. According to claim 1, the overall system is composed of a central server, various levels of regional controllers and peripheral devices. Its characteristics are Each part is allocated according to the tree topology, with the central server as the root node, the regional controllers at all levels as subtree nodes, and the peripheral devices at the lowest level of the system as the lowest leaf nodes. The central server issues tasks to the lower-level controllers based on the bird conditions at the airport, and the lower-level controllers then control the movement of the peripheral devices.

3. According to claim 1, the adjacent controllers at the same level communicate with each other. Its characteristics are The same-level controller and the adjacent area controller will communicate with each other about the bird status in the controlled area. After the bird-repelling control instruction of the current area is completed, the controller of the same level in the adjacent area will inquire about the bird status in its area. If there is no bird status in the adjacent area, the adjacent area will continue to inquire about the bird status in its adjacent area. If there is a bird status in the adjacent area, the information will be fed back to the original area. After receiving the information, the original area will feed back the information to the superior controller, thereby speeding up the superior controller's judgment on the direction of bird repelling.

4. According to claim 1, the transmitted data information, Its characteristic is that The central server transmits control commands to the lower level controllers and then to the peripheral equipment groups in sequence. When the peripheral equipment group obtains bird information in the area through radar and optoelectronic cameras, it compresses the information using a key video compression algorithm, transmits the compressed video information to the upper level, and finally processes and analyzes the information at the central server. Binary format information is transmitted between adjacent controllers of the same level to ensure that the system can quickly determine the bird expulsion status, that is, send "yes" or "no" whether there are birds in the area.