Wireless sensor network marine rescue monitoring system and working method thereof

Abstract

The invention relates to a wireless sensor network marine rescue monitoring system which comprises a network energy-saving strategy model and a base station-cluster head node-node three-layer network topology composed of a base station, an unmanned aerial vehicle and sensor nodes, and the sensor nodes carry an energy-saving strategy network model algorithm. When a sensor node monitors a person falling into water, information is transmitted to a base station, the base station immediately dispatches a rescue speedboat and a rescue helicopter, meanwhile, an unmanned aerial vehicle closest to the node rapidly gets close, the position of the person falling into water is dynamically tracked, dynamic coordinates are transmitted to the rescue speedboat and the rescue helicopter, and the real-time accurate position of the person falling into water is helped to be obtained. According to the marine rescue monitoring system, a dynamic intelligent monitoring network is deployed in a larger range by taking an accident site as a center through a combined system of the wireless sensor network and the unmanned aerial vehicle, so that automatic, high-efficiency and large-range digital search and rescue are realized, the rescue probability of people falling into water is improved, and the rescue time is shortened.

Description

Technical Field

[0001] The present invention relates to the field of maritime rescue, and in particular to a wireless sensor network maritime rescue monitoring system and a working method thereof. Background Art

[0002] Traditional maritime rescue usually uses helicopters or speedboats to patrol within a small area of ​​the accident site. However, the sea surface is complex and the scope is wide. It is difficult for the rescue team and its equipment to cover all the people who fall into the water, and the search and rescue efficiency is low (some people who fall into the water may be affected by ocean currents and float to an area several kilometers away from the original accident site coordinates, beyond the patrol range). How to improve the survival rate of people who fall into the water, expand the rescue scope, and improve the efficiency and accuracy of rescue are the problems that urgently need to be solved in the current maritime rescue work. Summary of the invention

[0003] In order to solve the technical problems existing in the prior art, the present invention provides a wireless sensor network marine rescue monitoring system and a working method thereof.

[0004] To achieve the above object, the technical solution of the present invention is as follows:

[0005] A wireless sensor network maritime rescue monitoring system includes multiple sensor nodes, multiple drones and base stations. The base stations, drones and sensor nodes form a three-layer network topology of base station-cluster head node-node. The sensor nodes are equipped with an energy-saving strategy network model algorithm.

[0006] As a preferred technical solution, a mechanical claw is provided at the bottom of the drone, and the drone carries and releases the sensor node through the mechanical claw.

[0007] As a preferred technical solution, a camera is provided on the drone.

[0008] As a preferred technical solution, an infrared sensor, a wireless communication device and a battery are provided in the sensor node, and both the infrared sensor and the wireless communication device are connected to the battery.

[0009] As a preferred technical solution, the base station is set on the rescue command ship, the base station includes a wireless routing device and a server, and the infrared sensor communicates with the server through the wireless communication device and the wireless routing device. The rescue command ship can park and store drones and sensor nodes, and provide supplies to the drones.

[0010] As an optimal technical solution, the network energy-saving strategy model is as follows: before the start of each working cycle, the base station, under the guidance of the preset cluster selection algorithm, selects the next round of cluster head nodes according to the historical hardware conditions of each node, and automatically re-forms a new sensor network with all sensor nodes and drones. The above cycle is repeated.

[0011] As a preferred technical solution, the historical hardware status of the node includes remaining power and coordinates.

[0012] As a preferred technical solution, the working method of the wireless sensor network maritime rescue monitoring system includes:

[0013] Step 1: After a maritime accident occurs, multiple drones carrying sensor nodes are deployed evenly within a 5-kilometer radius of the center of the circle, with the coordinates of the accident ship as the center.

[0014] Step 2: The drones and sensor nodes automatically form a marine wireless sensor network;

[0015] Step 3: When a sensor node detects a person falling into water nearby, it sends a data packet to the cluster head node, and the data is forwarded to the base station through the cluster head node;

[0016] Step 4: After the base station receives the data packet, it dispatches a rescue boat or a rescue helicopter to the coordinates in the data packet. Meanwhile, the drone closest to the sensor node that discovered the drowning person immediately approaches the coordinates, finds the drowning person near the sensor node, dynamically tracks the drowning person, and feeds back the dynamic coordinates to the rescue boat and the rescue helicopter.

[0017] Step 5: The rescue speedboat or rescue helicopter finds the person who fell into the water.

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

[0019] The wireless sensor network maritime rescue monitoring system of the present invention, through the wireless sensor network, breaks through the traditional small-scale patrol and rescue working mode, allows the originally discrete hardware equipment to form a systematic network, and through a flexible, energy-saving, and highly robust network architecture, realizes maritime search and rescue monitoring operations in a larger range, striving for comprehensive coverage of people who fall into the water.

[0020] Compared with the traditional wireless sensor network (a network composed of fixed sensor nodes), this system adopts a hybrid mode of "drone nodes + sensor nodes" to adapt to the characteristics of the maritime search and rescue environment, making the network dynamic and adapting to the characteristics of the drowning in the sea in motion, and realizing dynamic tracking. At the same time, at the communication protocol level, a novel network architecture and data processing algorithm are designed to enable the system to have the characteristics of self-repair and dynamic iteration, so as to adapt to the harsh natural environment at sea. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a network deployment diagram of the wireless sensor network marine rescue monitoring system of the present invention;

[0022] Figure 2 It is a communication architecture diagram of the wireless sensor network marine rescue monitoring system of the present invention;

[0023] Figure 3 It is a network topology diagram of the wireless sensor network marine rescue monitoring system of the present invention;

[0024] Figure 4 It is a diagram of the marine networking process of the wireless sensor network marine rescue monitoring system of the present invention;

[0025] Figure 5 It is a rescue response flow chart of the wireless sensor network marine rescue monitoring system of the present invention;

[0026] Figure 6 It is an energy model diagram of the wireless sensor network marine rescue monitoring system of the present invention;

[0027] Figure 7 is a cluster selection flow chart of the wireless sensor network maritime rescue monitoring system of the present invention;

[0028] Figure 8 It is a data packet processing flow chart of the wireless sensor network marine rescue monitoring system of the present invention;

[0029] Fig. 9 It is a data fusion architecture diagram of the wireless sensor network maritime rescue monitoring system of the present invention.

[0030] In the figure: 1. Sensor node; 2. Drone; 3. Base station; 4. Rescue speedboat; 5. Rescue helicopter. DETAILED DESCRIPTION

[0031] The technical solution of the present invention is further described below in conjunction with specific implementation methods:

[0032] like Figure 2 As shown, a wireless sensor network maritime rescue monitoring system includes a network energy-saving strategy model, multiple sensor nodes 1, multiple drones 2 and base stations 3, as shown in FIG. Figure 3 As shown, the base station 3, drone 2 and sensor node 1 form a three-layer network topology of base station 3-cluster head node-node, and the sensor node 1 is equipped with an energy-saving strategy network model algorithm. Among them, the sensor node 1 has environmental monitoring function, storage function and communication function, and its mass is 0.5 kg; drone 2 has visual function, communication function and dynamic tracking function; base station 3 has communication function, data processing function and network management function.

[0033] like Figure 4 As shown, a mechanical claw is provided at the bottom of the drone 2. The drone 2 carries the sensor node 1 through the mechanical claw, and the opening and closing of the mechanical claw is controlled by adjusting the duty cycle to release the sensor node 1.

[0034] Drone 2 is equipped with a camera and a built-in machine vision algorithm, which can identify drowning people floating on the sea surface. Drone 2 has the ability to wirelessly communicate with sensor node 1 and base station 3 carried by a nearby rescue command ship.

[0035] The sensor node 1 is equipped with an infrared sensor, a wireless communication device and a battery, and the infrared sensor and the wireless communication device are connected to the battery. The battery can provide 72 hours of battery life for all hardware. The shell of the sensor node 1 is waterproof, and the sensor node 1 can float on the water and is not easy to sink.

[0036] Base station 3 is set on the rescue command ship, and base station 3 includes wireless routing equipment and a server. The infrared sensor communicates with the server through wireless communication equipment and wireless routing equipment. The rescue command ship can park and store drones and sensor nodes, and provide drones with supplies. Figure 5 As shown, in each working cycle, all sensor nodes 1 send monitoring data to the nearby cluster head node, which processes and summarizes the data and sends it to the base station 3. The staff can see the historical feedback information of all nodes on board, including the hardware status of the node itself and the node monitoring information.

[0037] The network energy-saving strategy model is as follows: before each working cycle, the base station 3 selects the next round of cluster head nodes according to the historical hardware conditions (remaining power, coordinates) of each node under the guidance of the preset cluster selection algorithm, and automatically re-forms a new sensor network with all sensor nodes 1 and drones 2, and the above cycle is repeated. Figure 6 As shown in , in the process of information transmission in wireless sensor networks, the energy consumption of information propagation is closely related to the distance: the energy consumption of short-distance transmission is much lower than that of long-distance transmission. If multiple nodes are far away from the headquarters, but they are close to each other, they can hand over the data packets to a cluster head node, such as Figure 7 As shown in the figure, the cluster head node fuses and processes the data packets (reduces the data size) and then sends them to the headquarters, which will greatly reduce the energy consumption of multiple nodes in this cycle. This strategy will help the entire system reduce the average energy consumption and maintain a longer working time on the sea. At the same time, energy-saving strategies are also adopted in the cluster selection mechanism: after becoming a cluster head node, the energy consumption of the node will increase during this cycle, and due to environmental factors, the nodes in different locations will also have different energy consumption. In addition, the node position moves with the sea surface and is uncertain. Therefore, considering the stability of the network, a more suitable node is selected as the cluster head node according to the node situation (remaining power, coordinates) in each cycle to improve the system life cycle.

[0038] The working method of the wireless sensor network maritime rescue monitoring system includes:

[0039] Step 1, such as Figure 1As shown, after a maritime accident occurs, with the coordinates of the accident ship as the center of the circle, multiple drones 2 carrying sensor nodes 1 are evenly deployed within a 5 km range of the center of the circle;

[0040] Step 2, such as Figure 4 As shown, UAV 2 and sensor node 1 automatically form a marine wireless sensor network;

[0041] like Figure 5 As shown, in step three, when a sensor node 1 detects a person falling into water nearby, it sends a data packet to the cluster head node, and the data is forwarded by the cluster head node to the base station 3;

[0042] Step 4: Base station 3 receives the data packet, such as Figure 8 and Fig. 9 As shown, the data packet is processed to obtain the coordinates of the person who falls into the water, and then a rescue speedboat 4 or a rescue helicopter 5 is dispatched to move toward the coordinates. At the same time, the drone 2 closest to the sensor node 1 that discovered the person who falls into the water immediately approaches the coordinates, and the position of the person who falls into the water is captured and dynamically tracked through the machine vision algorithm built into the camera, and the dynamic coordinates are fed back to the rescue speedboat 4 and the rescue helicopter 5, so as to help the rescue team obtain the real-time and accurate position of the person who falls into the water;

[0043] Step 5: The rescue speedboat 4 or the rescue helicopter 5 finds the person who fell into the water.

[0044] This system uses information technology to create a new intelligent system, new platform, and new process, which may become a breakthrough in maritime search and rescue work. Under the background of the development of Internet of Things technology, its advantages such as low power consumption, large range, easy control, and easy deployment have been widely used in the industrial field. If it can be applied to maritime search and rescue work, its technical superiority may improve the monitoring range and rescue efficiency of search and rescue work, and save more lives.

[0045] This embodiment is only a further explanation of the invention rather than a limitation of the invention. After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed. However, as long as they are within the scope of the claims of the invention, they are protected by the patent law.

Claims

1. A wireless sensor network maritime rescue monitoring system, characterized in that: It includes multiple sensor nodes, multiple drones and base stations. The base stations, drones and sensor nodes form a three-layer network topology of base station-cluster head node-node. The sensor nodes are equipped with energy-saving strategy network model algorithms.

2. The wireless sensor network maritime rescue monitoring system according to claim 1, characterized in that: A mechanical claw is provided below the drone, and the drone carries and releases the sensor node through the mechanical claw.

3. The wireless sensor network maritime rescue monitoring system according to claim 1, characterized in that: The drone is provided with a camera.

4. The wireless sensor network maritime rescue monitoring system according to claim 1, characterized in that: The sensor node is provided with an infrared sensor, a wireless communication device and a battery, and both the infrared sensor and the wireless communication device are connected to the battery.

5. The wireless sensor network maritime rescue monitoring system according to claim 4, characterized in that: The base station is arranged on the rescue command ship, and the base station comprises a wireless routing device and a server. The infrared sensor communicates with the server via the wireless communication device and the wireless routing device.

6. The wireless sensor network maritime rescue monitoring system according to claim 1, characterized in that: The network energy-saving strategy model is as follows: before the start of each working cycle, the base station selects the next round of cluster head nodes according to the historical hardware conditions of each node under the guidance of the preset cluster selection algorithm, and automatically re-forms a new sensor network with all sensor nodes and drones, and the above cycle is repeated.

7. The wireless sensor network maritime rescue monitoring system according to claim 6, characterized in that: The node's historical hardware status includes remaining power and coordinates.

8. The working method of the wireless sensor network maritime rescue monitoring system according to any one of claims 1 to 7, characterized in that: The method comprises: Step 1: After a maritime accident occurs, multiple drones carrying sensor nodes are deployed evenly within a 5-kilometer radius of the center of the circle, with the coordinates of the accident ship as the center. Step 2: UAVs and sensor nodes automatically form a marine wireless sensor network; Step 3: When a sensor node detects a person falling into the water nearby, it sends a data packet to the cluster head node, and the data is forwarded to the base station through the cluster head node; Step 4: After the base station receives the data packet, it dispatches a rescue boat or a rescue helicopter to the coordinates in the data packet. Meanwhile, the drone closest to the sensor node that discovered the drowning person immediately approaches the coordinates, finds the drowning person near the sensor node, dynamically tracks the drowning person, and feeds back the dynamic coordinates to the rescue boat and the rescue helicopter. Step 5: The rescue speedboat or rescue helicopter finds the person who fell into the water.

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