Wild animal protection monitoring system based on multi-band wireless broadband ad hoc network strategy

Abstract

The utility model provides a wild animal protection monitoring system based on a multi-band wireless broadband ad hoc network strategy. The wild animal protection monitoring system comprises backbone nodes, secondary nodes and wild animal monitoring front-end equipment, the plurality of backbone nodes are mutually connected through a link of a first communication frequency band to form a backbone architecture of the ad hoc network; wherein one backbone node serves as a gateway and is used for gathering and uploading monitoring data; the backbone node provides a wireless AP access port for a secondary node through a second frequency band; and the secondary node is used for wireless or wired access of wild animal monitoring front-end equipment.

Description

Technical Field

[0001] This utility model relates to the technical fields of forest area wireless broadband self-organizing network and wildlife protection and monitoring, and in particular to a wildlife protection and monitoring system based on a multi-band wireless broadband self-organizing network strategy. Background Technology

[0002] The demand for wildlife conservation and monitoring is concentrated in complex nature reserve environments. Existing wildlife conservation and monitoring technologies largely rely on network environments provided by telecom operators (such as 4G networks and 3GPP). Nature reserve environments have complex terrain, forest canopy obstruction, and areas with frequent wildlife activity are often located deep within the forest, making it difficult for telecom operators to provide signal coverage. On the other hand, some technologies utilize wildlife conservation cameras with built-in power supplies and microSD cards and infrared triggering capabilities. However, this requires manual, periodic travel between forest areas to replace the power supply and SD card, ensuring data collection and normal equipment operation.

[0003] CN110266664A proposes a Cloud VR video live streaming system based on 5G and MEC. This system achieves data interaction between the platform layer, terminal layer, and content layer through 5G / 4G wireless networks and MEC systems, aiming to solve the problems of difficult ground base station deployment and poor communication in protected areas, and providing a new technical solution for wildlife monitoring. CN103561242A describes a wildlife monitoring system based on a ZigBee module wireless image sensor network. This system utilizes image compression algorithms based on compressed sensing theory, and is suitable for wireless image sensor networks with limited processing power, power consumption, and channel transmission bandwidth, realizing all-weather automatic acquisition, compression, and transmission of wildlife monitoring images. Patent CN117156100A, entitled "A Wildlife Monitoring Data Management System," captures images of wildlife activity, performs target recognition on the images, and transmits the captured data through a satellite transmission module.

[0004] The above-mentioned existing technical solutions have the following defects and shortcomings:

[0005] 1. CN110266664A relies heavily on the operator's 5G network as the transmission carrier, making it difficult to deploy in remote areas without operator signal.

[0006] 2. The CN103561242A uses a narrowband network composed of ZigBee modules for transmission, and its transmission bandwidth is insufficient to meet the needs of real-time video data transmission. Furthermore, its signal coverage is limited in forest areas, restricting its long-term stable operation over a wide area.

[0007] 3. The CN117156100A transmits signals between satellites on the Earth's surface, resulting in high communication latency. In complex forest areas with dense vegetation, satellite signals will be blocked by trees, leading to unstable signal coverage. Satellite communication bandwidth is typically limited, making it impossible to transmit real-time video footage.

[0008] In summary, it can be seen that existing technologies cannot build stable, high-throughput, high-bandwidth, high-speed, and high-coverage networks in complex forest areas. They rely on operators and therefore cannot conduct long-term, stable, real-time monitoring, surveillance, and identification of the appearance and activities of wild animals. Utility Model Content

[0009] To address the shortcomings and deficiencies of existing technologies, and to meet the real-time monitoring needs for wildlife protection in complex forest areas with dense vegetation, undulating terrain, and lack of or poor signal coverage from operators, this utility model aims to provide a wildlife protection monitoring system based on a multi-band wireless broadband self-organizing network strategy. Its core structural design lies in providing a new networking structure to leverage the advantages of high-throughput wireless broadband self-organizing network communication technologies in different frequency bands, constructing different network links in complex forest areas, and ensuring the network requirements for wildlife monitoring in forest areas.

[0010] This solution utilizes multi-band wireless ad hoc networking technology to establish a high-throughput, high-coverage communication network environment in complex forest areas, providing lightweight communication network links for front-end network payloads such as wildlife protection cameras. With its combination of high throughput from backbone communication links and high coverage in near-field sensing areas, this technology can be widely applied in real-time wildlife protection monitoring in nature reserves with complex terrain and dense vegetation.

[0011] This solution utilizes the physical propagation characteristics of different frequency bands and introduces a multi-band combination strategy. It leverages the unique and complementary characteristics of different frequency band signal transmitting and receiving units within a single wireless communication device in terms of transmission distance, throughput, bandwidth, coverage, and diffraction, thereby improving the overall throughput and coverage of the self-organizing network to meet the high-throughput real-time transmission requirements of the front-end wildlife protection and monitoring module. Through this network structure, wired connections between hardware devices are reduced, eliminating the need for fixed power lines (mains power supply mode) and ensuring stable operation of the equipment in complex environments.

[0012] The specific technical solution adopted is as follows:

[0013] A wildlife conservation and monitoring system based on a multi-band wireless broadband self-organizing network strategy includes: backbone nodes, secondary nodes, and wildlife monitoring front-end equipment;

[0014] Multiple backbone nodes are interconnected via links in the first communication frequency band to form the backbone architecture of an ad hoc network; one backbone node acts as a gateway to aggregate and upload monitoring data; the backbone node provides wireless AP access points for secondary nodes via the second frequency band.

[0015] The secondary node is used for wireless or wired access to the front-end equipment for wildlife monitoring.

[0016] The above is the simplest design of the networking structure of this utility model. In most complex forest scenarios, the secondary network setup cannot guarantee coverage of the wildlife monitoring front-end equipment. Therefore, the preferred design also includes accompanying nodes of the third-level network.

[0017] The backbone node provides wireless AP access points for secondary nodes and / or accompanying nodes through the second frequency band.

[0018] The secondary node aggregates and forwards the data collected by the accompanying node to the backbone node through the second frequency band;

[0019] The accompanying node is used for wireless or wired access to the wildlife monitoring front-end equipment and forwards the monitoring data to the secondary node.

[0020] Furthermore, the communication equipment and antennas of the backbone nodes and secondary nodes are installed at a height of 10-15 meters above the ground. The antennas of the backbone nodes include directional antennas and omnidirectional fiberglass antennas, and the directional antennas of the backbone nodes are unobstructed and oriented. The antennas of the secondary nodes are omnidirectional fiberglass antennas.

[0021] Furthermore, the communication frequency band between the backbone nodes is 5.1 GHz and / or 5.8 GHz, and the communication frequency band between the backbone nodes and secondary nodes is 2.4 GHz.

[0022] Furthermore, the communication frequency band between the secondary node and the accompanying node is 2.4 GHz.

[0023] Furthermore, the backbone node, secondary node, and accompanying node each include at least a simplified module consisting of an IPQ4019 CPU module and a QCA8075 switch module.

[0024] Furthermore, the backbone node adopts an NJ / K antenna feeder type signal surge protector.

[0025] Furthermore, the backbone nodes are powered by monocrystalline silicon solar panels and ternary lithium batteries.

[0026] Compared to existing technologies, this utility model and its preferred solution can achieve the transmission of wildlife monitoring information, including real-time video and images, in environments where operator networks are unavailable or signals are poor.

[0027] A multi-band combination strategy is adopted, with 5.8GHz and 5.1GHz signals used for directional transmission to build the backbone transmission network, and 2.4GHz signals used to achieve regional coverage. This fully leverages the advantages of different frequency bands of individual wireless communication devices in terms of physical propagation characteristics, such as transmission distance, throughput, bandwidth, coverage, and diffraction capability, as well as their unique and complementary characteristics. This constructs a wireless broadband self-organizing network system suitable for wildlife protection and monitoring, facilitating the access of front-end monitoring equipment in forest areas to the wireless broadband self-organizing network. This effectively solves the problems of wildlife monitoring information transmission and front-end equipment access in special and complex environments. Attached Figure Description

[0028] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:

[0029] Figure 1 This is a wireless broadband network topology diagram of an embodiment of this utility model;

[0030] Figure 2 This is a block diagram of a single-band wireless broadband self-organizing network device according to an embodiment of this utility model;

[0031] Figure 3 This is a block diagram of a three-band wireless broadband self-organizing network device according to an embodiment of this utility model;

[0032] Figure 4 This is a schematic diagram of the packaging of the board used in the single-band wireless broadband self-organizing network device according to an embodiment of this utility model;

[0033] Figure 5 This is a schematic diagram of the packaging of the board used in the wireless broadband self-organizing network multi-band device according to an embodiment of this utility model;

[0034] Figure 6 This is a schematic diagram of the housing packaging of the three-band self-organizing network device used in this embodiment of the utility model;

[0035] Figure 7 This is a schematic diagram of the housing packaging of the simplified modular self-organizing network device used in this embodiment of the utility model;

[0036] Figure 8 These are typical application diagrams of embodiments of this utility model;

[0037] Figure 9 This is a case study of the actual networking application of the Tongboshan project according to an embodiment of this utility model. Detailed Implementation

[0038] To make the features and advantages of this utility model more apparent and understandable, specific embodiments are described below in conjunction with the accompanying drawings:

[0039] The following first introduces the basic design of the multi-band wireless broadband networking structure provided in this embodiment:

[0040] The deployment of the three-band backbone nodes enables directional data transmission between them via 5.1GHz and 5.8GHz signals. The backbone nodes are primarily installed using tall, standing trees in the forest area as support, with communication equipment, directional antennas, and omnidirectional fiberglass antennas mounted at a height of 10-15 meters above the ground. It is crucial to ensure that the directional antennas are unobstructed by mountains or vegetation and that their orientation is precisely aligned. One backbone node is selected as a gateway to aggregate real-time monitoring data from the forest area and transmit it to the reserve management station via the 5G band signal. The backbone nodes are interconnected via high-speed and stable links, constructing a self-organizing network backbone architecture to ensure high-speed transmission of wildlife monitoring data within the backbone network. Simultaneously, the backbone nodes transmit 2.4GHz signals, providing wireless access points for 2.4G single-band secondary nodes and accompanying 2.4G single-band nodes.

[0041] The deployment of secondary nodes in the 2.4GHz single-band is similar to that of backbone nodes in terms of field installation procedures. The difference is that secondary nodes only require the installation of an omnidirectional fiberglass antenna. Utilizing the 2.4GHz omnidirectional signal to achieve connectivity, their primary responsibility is to aggregate data originating from accompanying nodes and forward it to the backbone nodes. Secondary nodes are capable of processing data from multiple accompanying nodes, possessing good wireless coverage and a certain data processing capability, enabling them to cover large forest areas and ensure effective data transmission and aggregation.

[0042] In some cases, secondary nodes can also be directly connected to the wildlife monitoring front-end equipment.

[0043] The deployment of 2.4GHz single-band companion nodes follows a similar installation method to secondary nodes, with both communicating via 2.4GHz omnidirectional signals. As the node closest to the wildlife monitoring front-end equipment in the networking strategy, the companion node plays a crucial role in providing access to the self-organizing network interface. It can provide wireless or wired access services and forward monitoring data to the secondary nodes. Simultaneously, the companion node possesses good wireless coverage to ensure smooth access for the front-end wildlife protection and monitoring equipment.

[0044] The deployment of the front-end wildlife protection monitoring module involves connecting to accompanying nodes via WiFi signals or establishing a network connection through a network cable. Data collected by the monitoring module originates at the accompanying nodes and is transmitted sequentially upwards to the backbone nodes. The backbone nodes then use routing mechanisms to transmit the data to the target platform on the external network, thereby achieving real-time and efficient transmission and sharing of monitoring data, providing robust data support for wildlife protection monitoring.

[0045] Based on the above network structure, as a preferred embodiment, the front-end monitoring module can operate in two modes. First, with sufficient power supply, the wildlife monitoring camera operates at full power consumption, transmitting real-time images of wildlife activity detected by the front-end. Second, the front-end uses low-power power supply, sending heartbeat packets during standby to ensure its online status can be viewed on the wildlife monitoring platform. When wildlife appears, the camera's infrared switch is triggered immediately, activating to take pictures and record data, and the data is then connected to the internet via the self-organizing network aggregation node. Both of these devices and operating methods are existing technologies. The advantage of the network structure provided in this embodiment is mainly the reduction of wired connections between hardware devices, eliminating the need for fixed power lines (mains power supply mode) and ensuring stable operation of the equipment in complex environments.

[0046] As a preferred option, based on the above network design, during implementation, a digital elevation model (DEM) base map of the proposed self-organizing network communication area can be imported using general map software, and vegetation cover type data can be overlaid. Based on the terrain undulation, vegetation cover type, and the physical properties of signal propagation between different frequency bands in the forest, factors such as line-of-sight between communication nodes and terrain / vegetation interference are comprehensively considered to select equipment installation locations. It should be noted that this design process is for reference only and does not constitute a limitation on the network structure provided by this utility model.

[0047] To meet the specific technical requirements for implementation based on the above design, the hardware equipment involved mainly includes a wireless broadband self-organizing network module, a wildlife protection and monitoring module, a lightning protection module, and a power supply module.

[0048] As a preferred embodiment, the wireless broadband self-organizing network equipment serving as the backbone node can preferably be the applicant's independently developed 5.8GHz / 5.1GHz / 2.4GHz wireless LAN equipment, model MXIS-Mesh-MF5.X / 2.4G-1 (this equipment has applied for a China Radio Transmission Equipment Type Approval Certificate (Approval Code: 23J359758645)). This three-band self-organizing network equipment integrates MIMO, OFDM, and other technologies to construct a network system with high throughput and high coverage transmission capabilities in complex forest areas. The 5GHz signal can transmit up to 40 kilometers under specific conditions, and the transmitted 2.4GHz signal provides connectivity for the simplified module equipment, with a signal coverage radius of up to 6 kilometers.

[0049] The simplified module can serve as a secondary or accompanying node in an ad hoc network. Leveraging its compact, flexible, and highly adaptable characteristics, the simplified module can be efficiently and flexibly deployed in forest environments with complex terrain and varied environments. This allows it to accurately adapt to the specific network needs of various complex scenarios in forest areas, effectively achieving the goal of comprehensive and stable network coverage in forest environments. It also strongly guarantees the stability and reliability of the entire ad hoc network communication process, laying a solid and reliable network communication foundation for the smooth implementation of wildlife protection and monitoring and other related work in forest areas.

[0050] As a preferred embodiment, the preferred design of the simplified module combines the IPQ4019 CPU module with the QCA8075 Ethernet switching chip. The CPU module is directly connected via an inductor and a decoupling capacitor to ensure power supply stability and fast response. The QCA8075 Ethernet switching chip uses capacitors for power supply filtering to ensure data transmission stability.

[0051] As a preferred embodiment, the 5G band signal PCB board design used in the tri-band module equipment of the backbone node is based on a minimalist module, and uses the IPQ4019 series AP.DK04 Dakota BGA538 chip and 16bit DDR3L memory to work together to ensure high-speed data processing.

[0052] For the selection of front-end wildlife protection and monitoring modules, infrared-triggered wildlife protection cameras can be selected. When the power supply is sufficient, these cameras operate at full power consumption and can transmit video images of wildlife activities in real time. When the power supply is insufficient, the camera's infrared switch is triggered when wildlife appears, and the camera starts to take pictures and record, transmitting monitoring images in real time.

[0053] The lightning protection module utilizes NJ / K antenna feeder type signal surge protectors in the radio frequency signal system of the self-organizing network equipment. These protectors are designed to safeguard communication equipment signal lines from interference and damage caused by lightning electromagnetic pulses, induced overvoltages, and operational overvoltages. Above the equipment deployment area, lightning rods are actively installed, using 30 square millimeter copper core wires as lightning protection conductors to directly conduct lightning strikes into the ground. This proactive defense against lightning damage ensures stable operation of the equipment in lightning environments and guarantees the safety and reliability of the entire wireless broadband self-organizing network system.

[0054] In view of the special power requirements of the equipment in the complex forest environment, this embodiment adopts a combination of monocrystalline silicon solar panels and ternary lithium batteries, and preferably adopts PWM charging mode to ensure the stability and continuity of the power supply to the equipment.

[0055] The present invention will be further illustrated and described below with reference to the accompanying drawings through a specific design and application example:

[0056] like Figure 1 The diagram shows a typical wireless broadband network topology of this invention. In complex forest areas with lush vegetation and undulating terrain, this invention constructs a high-throughput, high-coverage wireless broadband self-organizing network, providing the necessary communication foundation for wildlife protection and monitoring. By strategically selecting locations within the forest area and deploying multiple tri-band backbone nodes, each node utilizes directional antennas to transmit its emitted 5G band signals, establishing a backbone network to achieve high-speed directional signal transmission between forests. One backbone node acts as a gateway node, serving as a data aggregation point. To prevent network loops in the backbone network, the gateway node must maintain its 5G low-frequency directional signal. The tri-band backbone node transmits 2.4G omnidirectional wireless signals to cover the area, acting as an AP interface. Within its 2.4G signal coverage area, secondary nodes using the 2.4G single-band wireless signal connect wirelessly to the backbone node. Once the 2.4G single-band secondary node achieves omnidirectional connectivity with the backbone node, within its omnidirectional signal coverage area, the 2.4G single-band accompanying node can also achieve omnidirectional connectivity with the secondary node. At this point, the secondary node acts as a signal relay, enabling indirect connectivity between the accompanying node and the backbone node, thereby expanding the coverage area of ​​the forest area's wireless broadband self-organizing network signal. Within the forest area covered by the accompanying node's 2.4G signal, the wildlife monitoring module wirelessly accesses the 2.4G single-band accompanying node. Data such as photos and videos of monitored wildlife are sequentially transmitted through the accompanying node and secondary node, and then aggregated in real-time to the gateway node. The gateway node transmits the data directionally to the reserve management station via 5G band signals and connects to the external network, enabling local real-time browsing, cloud viewing, and real-time network streaming of the monitoring data. Furthermore, while providing network coverage for wildlife protection and monitoring, this invention, as a further preferred option, can also integrate security monitoring systems, facility anti-theft systems, checkpoint monitoring systems, and drone control signal relay amplification stations.

[0057] like Figure 2 , Figure 3 The diagram shows a tri-band self-organizing network device and a simplified self-organizing network module. The self-organizing network device comprises an IPQ4019 CPU module and a QCA8075 switch module as its core architecture. The IPQ4019 provides powerful data processing capabilities and 802.11ac wireless communication support, and is equipped with a DDR memory interface to improve storage performance. The QCA8075 focuses on efficient packet switching, supporting two gigabit ports on the board and optimizing network traffic management. Together, these two modules ensure fast and stable processing of network tasks.

[0058] like Figure 4 , Figure 5 As shown, the self-organizing network equipment uses 2.4GHz and 5GHz boards as a preferred solution. The boards are optimized for high compatibility, integration, heat dissipation, interference resistance, and modular design. Their compact size adapts to various environments, ensuring stable and reliable wireless communication capabilities under diverse installation conditions.

[0059] like Figure 6 , Figure 7 As shown, this is a preferred option for the casing used in tri-band and single-band self-organizing network equipment. Considering the variable environment of forest areas, multiple protective measures, such as environmental sealing, can be implemented to ensure the long-term stable operation of the equipment under extreme weather, humidity, temperature fluctuations, and physical damage.

[0060] like Figure 8 As shown, in a typical application scenario, the application of wireless broadband self-organizing network technology based on a single-unit multi-band capacity expansion mechanism in a wildlife protection and monitoring system is demonstrated. The system consists of three-band backbone nodes and 2.4GHz simplified modular nodes. It achieves backbone network coverage of up to 40 kilometers via the 5GHz band, and extended coverage within a 6-kilometer radius via the 2.4GHz band. Wildlife protection cameras, acting as monitoring terminals, connect to the self-organizing network through 2.4GHz companion nodes to achieve wireless data transmission. The power supply system uses monocrystalline silicon solar panels and ternary lithium batteries to ensure stable operation of the equipment in complex forest environments. The entire system can achieve real-time transmission of wildlife monitoring videos in complex forest areas with no or poor signal coverage, improving monitoring efficiency and network stability.

[0061] like Figure 9As shown in the diagram, in the field deployment scenario of Tongboshan National Nature Reserve, 17 nodes were selected for network deployment using general mapping software and combined with the actual conditions of the forest area. These included 4 tri-band backbone nodes and 13 simplified modular accompanying nodes, collectively building a layered wildlife monitoring network with wide coverage and excellent performance. The 5G_H and 5G_L bands of backbone nodes 1-4 were set to 5660MHz and 5260MHz respectively, with a bandwidth of VHT80, and the operating mode was set to intelligent network mode to ensure that all nodes have the same function and status, constructing a backbone transmission network. Backbone node 1 is connected to the government intranet. The red and yellow lines in the diagram simulate the propagation paths of 5G_H and 5G_L in the backbone network, respectively. To avoid network loops, backbone node 1 is disconnected from backbone node 3. The 2.4G frequency of the backbone nodes is set to 2447MHz, with a bandwidth of HT20, and the operating mode is base station mode for accompanying nodes to access. The backbone node 2 connects to 5 accompanying nodes, backbone node 3 connects to 5 accompanying nodes, and backbone node 4 connects to 3 accompanying nodes. Accompanying nodes 1-13 are uniformly set to a frequency of 2447MHz, bandwidth HT20, and operating in repeater mode, providing 2447MHz signal coverage within the installation area. The wireless wildlife monitoring camera connects to the self-organizing network via a 2.4GHz signal. Monitoring data is transmitted through accompanying nodes to the nearest backbone node, then aggregated to backbone node 1, and finally transmitted to the designated platform via the government intranet. The front-end wireless wildlife protection monitoring camera is securely fixed to a tree trunk 30-50 cm above the ground using professional straps. In terms of spatial layout, the straight-line distance between the camera and accompanying nodes should be strictly controlled within 50 meters. When connecting to the network, the camera needs to be configured to connect to the strongest WiFi signal emitted by the accompanying nodes within its vicinity, thus successfully connecting to the self-organizing network and ensuring stable, efficient, and real-time transmission of monitoring data to the gateway node.

[0062] In summary, the solution provided in this embodiment utilizes a wireless broadband self-organizing network technology with a single-machine multi-band capacity expansion mechanism for communication. Even in complex forest environments with no or poor operator signal coverage, it can transmit monitoring data, including wildlife monitoring videos, in real time. Considering device power consumption, the use of different frequency bands to build the forest network conserves spectrum resources. Furthermore, leveraging the physical propagation characteristics and bandwidth differences of different frequency bands improves the overall network performance and coverage.

[0063] In terms of transmission rate, the 5GHz backbone transmission network in the forest area has a measured transmission rate of over 100Mbps, and the accompanying and secondary nodes in the 2.4GHz band have a measured transmission rate of over 20Mbps. Compared with the ZigBee narrowband used by CN103561242A (the actual transmission rate is tens to hundreds of kbps), it is hundreds of times faster and can meet the high-speed and stable real-time transmission requirements of monitoring data such as high-definition video and images.

[0064] This utility model is not limited to the above-described preferred embodiment. Anyone can derive other forms of wildlife protection and monitoring system based on a multi-band wireless broadband self-organizing network strategy under the guidance of this utility model. All equivalent changes and modifications made within the scope of the patent application of this utility model shall be covered by this utility model.

Claims

1. A wildlife conservation and monitoring system based on a multi-band wireless broadband self-organizing network strategy, characterized in that, include: Backbone nodes, secondary nodes, and front-end equipment for wildlife monitoring; Multiple backbone nodes are interconnected via links in the first communication frequency band to form the backbone architecture of an ad hoc network. One of the backbone nodes acts as a gateway, used to aggregate and upload monitoring data; the backbone node provides wireless AP access points for secondary nodes through the second frequency band; The secondary node is used for wireless or wired access to the front-end equipment for wildlife monitoring.

2. The wildlife protection and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 1, characterized in that: It also includes accompanying nodes; The backbone node provides wireless AP access points for secondary nodes and / or accompanying nodes through the second frequency band. The secondary node aggregates and forwards the data collected by the accompanying node to the backbone node through the second frequency band; The accompanying node is used for wireless or wired access to the wildlife monitoring front-end equipment and forwards the monitoring data to the secondary node.

3. A wildlife conservation and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 1, characterized in that: The communication equipment and antennas of the backbone nodes and secondary nodes are installed at a height of 10-15 meters above the ground. The antennas of the backbone nodes include directional antennas and omnidirectional fiberglass antennas, and the directional antennas of the backbone nodes are unobstructed and oriented. The antennas of the secondary nodes are omnidirectional fiberglass antennas.

4. A wildlife protection and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 1, characterized in that: The communication frequency band between the backbone nodes is 5.1 GHz and / or 5.8 GHz, and the communication frequency band between the backbone nodes and secondary nodes is 2.4 GHz.

5. A wildlife protection and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 2, characterized in that: The communication frequency band between the secondary node and the accompanying node is 2.4 GHz.

6. A wildlife conservation and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 2, characterized in that: The backbone node, secondary node, and accompanying node each include at least a minimally sized module consisting of an IPQ4019 CPU module and a QCA8075 switch module.

7. A wildlife conservation and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 1, characterized in that: The backbone nodes adopt NJ / K antenna feeder type signal surge protectors.

8. A wildlife conservation and monitoring system based on a multi-band wireless broadband self-organizing network strategy according to claim 1, characterized in that: The backbone nodes are powered by monocrystalline silicon solar panels and ternary lithium batteries.

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