A ship overheight warning system and method based on big data analysis

Abstract

The present invention discloses a ship overheight warning system and method based on big data analysis. Unlike the existing active collision avoidance technology that measures the ship height in real time, when the present invention is in operation, it only needs to obtain the ship's name in advance, and there is no need to accurately measure the ship's height in real time. Based on existing wireless communication and AIS system technologies, the ship's name can be obtained when the ship is several kilometers away from the bridge, and then a judgment is made and an alarm is issued to the corresponding ship through the early warning module, so that the effective collision avoidance distance of the bridge active collision avoidance method of the present invention is much greater than the existing active collision avoidance technology. When the early warning unit issues an alarm to the corresponding ship, the ship is far away from the bridge, leaving more time for the ship to stop and turn around and return. For waterways with turbulent water flow or ships with large tonnage, the ship can also complete the stop or return operation. The active collision avoidance effect is good, which is conducive to improving the safety of ship passage.

Description

Technical Field

[0001] The present invention belongs to the technical field of bridge collision prevention, and specifically relates to a ship overheight warning system and method based on big data analysis. Background Art

[0002] In recent years, with the rapid growth of the national economy, inland waterway traffic has become extremely busy. Protecting the basic safety of bridges on waterways is a key issue in shipping and transportation. Due to factors such as the limited clear height of waterway bridges and operational errors by ship operators, ships often collide with bridges during navigation due to exceeding the clear height or deviation.

[0003] At present, the anti-collision technologies used to avoid collisions between ships and bridges due to their excessive height are mainly divided into passive anti-collision technologies and active anti-collision technologies. Among them, passive anti-collision technologies mainly improve the anti-collision ability of bridges and add buffer devices to ensure that bridges do not collapse after colliding with ships. However, this technology cannot avoid the occurrence of collisions, and the anti-collision effect is poor for large ships. In addition, bridges still need to be inspected and repaired after a collision.

[0004] Active collision avoidance technology primarily relies on ship height measurement, measuring the ship's height in advance within a certain range of the ship's distance from the bridge. This allows for early notification of over-height ships to stop or return, thus preventing collisions between the ship and the bridge. For example, infrared-based ship height measurement relies primarily on thermal imaging, which can easily overlook small or low-heat structures or components on the ship during height measurement, resulting in poor height measurement accuracy. Furthermore, infrared height measurement has a limited range, resulting in a relatively accurate height measurement when the ship is close to the bridge. This makes it difficult for ships to stop or return in turbulent waterways or for larger ships, making active collision avoidance less effective and having a shorter effective range. Chinese patent CN207302362U discloses a bridge anti-collision warning device that measures ship height based on image recognition technology. In this solution, the main chassis determines the actual height of the ship based on the ship's pixel height collected by the camera and the distance from the camera to the ship collected by the laser rangefinder. The height measurement in this solution mainly relies on image processing and computational analysis, and has high requirements for the clarity of the ship in the image. In poor lighting conditions or weather conditions such as rain and fog that easily affect camera shooting, the reliability of ship height measurement in this solution is poor. Summary of the Invention

[0005] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a ship overheight warning system and method based on big data analysis, so as to solve the technical problem of the short effective collision avoidance distance of the current active collision avoidance technology and achieve the effect of improving the safety of ship passage.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] A ship overheight warning system based on big data analysis is located on a waterway and includes a central control unit and an AIS system module electrically connected to the central control unit, a ship clearance height measurement device, a central control unit, a navigation clearance detection module, a meteorological module, an image recognition module, and an early warning module. The AIS system module is also electrically connected to the ship clearance height measurement device.

[0008] The AIS system module is used to obtain the ship name and coordinate information of each ship sailing on the waterway. The ship clearance height measuring device is used to obtain the clearance height of ships sailing on the waterway and correspond it to the ship name. The navigation clearance detection module is used to obtain the navigation clearance height of cross-river buildings on the waterway. The meteorological module is used to obtain meteorological information. The image recognition module is used to obtain image data of ships sailing on the waterway from a long distance. The early warning module is used to send early warning information to ships sailing on the waterway.

[0009] Furthermore, the ship clearance height measuring device includes a central control computer and a three-dimensional laser detection device and a high-definition tracking camera electrically connected to the central control computer, and the AIS system module is electrically connected to the central control computer in the ship clearance height measuring device;

[0010] The three-dimensional laser detection equipment is used to obtain the laser radar point cloud data of the ships sailing on the channel and transmit it to the central control computer. The high-definition tracking camera is used to obtain the high-definition image data of the ships sailing corresponding to the laser radar point cloud data and transmit it to the central control computer. The central control computer is used to measure the clearance height of the ships sailing based on the laser radar point cloud data and the high-definition image data. The central control computer is also used to correspond the measured clearance height of each ship sailing with the ship name obtained by the AIS system module.

[0011] Furthermore, the horizontal emission angle of the three-dimensional laser detection device is 0.5 radians, and the detection rate of the three-dimensional laser detection device is greater than 100,000 points per second.

[0012] Furthermore, the effective distance of the ship clearance height measuring device for measuring height is 5 to 1400 meters, and the height measurement accuracy is less than 20 centimeters.

[0013] Furthermore, the navigation clearance detection module includes water level detection equipment, and the meteorological module includes meteorological detection equipment.

[0014] Furthermore, the image recognition module includes monitoring devices arranged at intervals along both sides of the waterway.

[0015] Furthermore, the early warning module includes an early warning transmitting device electrically connected to the central control unit and an early warning receiving device installed on the ship.

[0016] The present invention also includes a ship overheight warning method based on big data analysis, using the ship overheight warning system based on big data analysis as described above, comprising the following steps:

[0017] 1) using the ship clearance height measurement device to obtain a number of basic data of ships passing through the channel, the basic data including the ship's name, clearance height and high-definition image data;

[0018] 2) The central control unit establishes a ship database based on several sets of basic data. The ship database includes the names of several ships and the corresponding clearance height ranges and high-definition image data;

[0019] 3) Use the AIS system module to obtain the names of ships currently passing through the channel, and use the image recognition module to obtain image data of ships currently passing through the channel;

[0020] 4) The central control unit retrieves the ship's clearance height range from the ship database according to the ship's name, and measures the ship's current initial clearance height based on the ship's image data;

[0021] 5) The central control unit obtains meteorological information through the meteorological module and determines the current maximum clearance height based on the meteorological information, the clearance height range of the ship and the current initial clearance height;

[0022] 6) The central control unit obtains the navigation clearance of the river-crossing buildings on the channel through the navigation clearance detection module, and determines whether the current maximum clearance height of the ship is greater than the navigation clearance of the river-crossing buildings. If so, the central control unit sends an early warning message to the corresponding ship through the early warning module to avoid a bridge collision accident.

[0023] Furthermore, step 5) includes the following sub-steps:

[0024] 51) The central control unit subtracts the preset weather rate value from the current initial clearance altitude of the ship to obtain the current corrected clearance altitude;

[0025] 52) Determine whether the current corrected headroom of the ship is within the headroom range of the ship. If so, use the current corrected headroom as the current maximum headroom of the ship and execute step 6). If not, execute step 3).

[0026] Furthermore, in step 4), if the number of ships currently passing through the waterway is greater than one, the central control unit also compares the image data of each ship with the high-definition image data corresponding to the ship name obtained by the AIS system module, so that the current clearance height of each ship obtained based on the image data corresponds one-to-one with the clearance height range of each ship retrieved from the ship database.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The early warning method of the present invention is different from the existing active collision avoidance technology that measures the ship's height in real time. When the present invention is in operation, it only needs to obtain the ship's name in advance, and there is no need to accurately measure the ship's height in real time. Based on existing wireless communication and AIS system technologies, the ship's name can be obtained when the ship is several kilometers away from the bridge, and then a judgment is made and an early warning module is used to warn the corresponding ship. As a result, the effective collision avoidance distance of the bridge active collision avoidance method of the present invention is much greater than that of the existing active collision avoidance technology. When the early warning unit warns the corresponding ship, the ship is far away from the bridge, leaving more time for the ship to stop and turn around and return. For waterways with turbulent waters or large ships, the ship can also complete the stop or return operation. The active collision avoidance effect is good, which is conducive to improving the safety of ship passage.

[0029] 2. The early warning method of the present invention is based on an early warning system. The current maximum clearance height used to determine whether a ship can pass mainly depends on a preset image measurement error value and a clearance height range. The current clearance height obtained by the image recognition module is only used as a basic value. The clarity requirement for the image data obtained in real time by the image recognition module is relatively low. This ensures that the judgment made by the early warning system is still highly reliable even in poor lighting conditions or in weather conditions such as rain and fog that easily affect camera shooting. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 2 is a structural diagram of the ship overheight warning system based on big data analysis described in the embodiment.

[0031] Figure 2 Flowchart of a method for early warning of ship height exceeding 300 km / h based on big data analysis according to an embodiment; DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] It should be noted that similar reference numerals and letters denote similar items in the following figures. Therefore, once an item is defined in one figure, it does not require further definition or explanation in subsequent figures. In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the figures, or the orientations or positional relationships in which the inventive product is typically placed when in use. These terms are intended solely to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation, and are therefore not to be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third," etc., are used solely to distinguish descriptions and are not to be construed as indicating or implying relative importance. Furthermore, terms such as "horizontal" and "vertical" do not imply that a component must be absolutely horizontal or overhanging, but rather may be slightly tilted. For example, "horizontal" simply refers to a direction that is more horizontal than "vertical," and does not imply that the structure must be completely horizontal, but rather may be slightly tilted. In the description of the present invention, it should also be noted that, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; they may refer to mechanical connections or electrical connections; they may refer to direct connections or indirect connections through an intermediate medium; and they may refer to internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0034] Example:

[0035] See Figure 1 A ship overheight warning system based on big data analysis is located on the waterway and includes a central control unit and an AIS system module (automatic identification system) electrically connected to the central control unit, a ship clearance height measuring device, a central control unit, a navigation clearance detection module, a meteorological module, an image recognition module and an early warning module. The AIS system module is also electrically connected to the ship clearance height measuring device.

[0036] In this embodiment, the ship clearance height measuring device includes a central control computer and a three-dimensional laser detection device and a high-definition tracking camera electrically connected to the central control computer. The AIS system module is electrically connected to the central control computer in the ship clearance height measuring device; the navigation clearance detection module includes a water level detection device, and a water level gauge can be used for implementation; the meteorological module includes meteorological detection equipment for obtaining meteorological information. In this embodiment, the meteorological information includes wind force and water flow velocity. The image recognition module includes monitoring equipment arranged at intervals along both sides of the waterway, and a camera can be used for implementation; the early warning module includes an early warning transmitting device electrically connected to the central control unit and an early warning receiving device installed on the ship; the horizontal emission angle of the three-dimensional laser detection equipment is 0.5 radians, and the detection rate of the three-dimensional laser detection equipment is greater than 100,000 points per second. The effective distance of the ship clearance height measuring device for measuring height is 5 to 1,400 meters, and the height measurement accuracy is less than 20 centimeters.

[0037] The AIS system module is used to obtain the name and coordinate information of each ship sailing on the waterway; the three-dimensional laser detection equipment is used to obtain the laser radar point cloud data of the ships sailing on the waterway and transmit it to the central control computer; the high-definition tracking camera is used to obtain high-definition image data of the ships sailing on the waterway corresponding to the said laser radar point cloud data and transmit it to the central control computer; the central control computer is used to measure the clearance height of the ships sailing based on the laser radar point cloud data and the high-definition image data; the central control computer is also used to correspond the measured clearance height of each ship sailing with the ship name obtained by the AIS system module; the navigation clearance detection module is used to obtain the navigation clearance height of cross-river buildings on the waterway; the image recognition module is used to obtain image data of ships sailing on the waterway from a long distance; and the early warning module is used to send early warning information in the form of sound, light and electricity to ships sailing on the waterway.

[0038] During implementation, the early warning system can be installed on bridges and other river-crossing structures on the waterway. If the span of the river-crossing structure is less than or equal to 600 meters, one set of the early warning system will be installed at any position of the river-crossing structure; if the span of the river-crossing structure is greater than 600 meters, one set of the early warning system will be installed at each end of the river-crossing structure; the measurement accuracy of the early warning system is not limited by water level changes, and all ships in the area can be measured.

[0039] See Figure 1 and Figure 2 The present invention also includes a ship overheight warning method based on big data analysis, using the ship overheight warning system based on big data analysis as described above, comprising the following steps:

[0040] 1) Using the ship clearance height measurement device, a number of basic data of ships passing through the channel are obtained, including the ship's name, clearance height, and high-definition image data. During implementation, the three-dimensional laser detection equipment emits a laser beam onto the sailing ship, analyzes the echo signal, and obtains the distance information of the sailing ship. The distance information is combined with the angle information of the corresponding laser beam to form a point in the three-dimensional space. When the three-dimensional laser detection equipment scans the three-dimensional space, it encounters an object and generates many points. The discrete point set composed of these points is the laser radar point cloud. During implementation, the three-dimensional laser detection equipment and the high-definition tracking camera respectively obtain the laser radar point cloud data and image data that are synchronized in time and space. After receiving the laser radar point cloud data and image data, the central control computer first annotates the outline of the sailing ship in the image data, and then completes the mapping of the image data annotation to the laser radar point cloud data annotation, thereby measuring the height of each sailing ship based on the laser point cloud data corresponding to the outline of the sailing ship.

[0041] 2) The central control unit performs deep learning, namely, establishing a ship database based on several sets of basic data. The ship database includes the names of several ships, the corresponding clearance height ranges, and high-definition image data. During implementation, the ship database also includes the length and width information of the ships obtained by the central control computer based on the high-definition image data;

[0042] 3) Use the AIS system module to obtain the names of ships currently passing through the channel, and use the image recognition module to remotely obtain image data of ships currently passing through the channel;

[0043] 4) The central control unit retrieves the ship's headroom range from the ship database based on the ship's name and measures the ship's current initial headroom based on the ship's image data. If the number of ships currently passing through the channel is greater than one, the central control unit also compares the image data of each ship with the high-definition image data corresponding to the ship's name obtained by the AIS system module, ensuring that the current headroom of each ship obtained from the image data corresponds to the headroom range of each ship retrieved from the ship database.

[0044] 5) The central control unit obtains meteorological information through the meteorological module and determines the current maximum headroom height based on the meteorological information, the headroom height range of the ship, and the current initial headroom height. Specifically, the central control unit subtracts a preset meteorological rate value from the current initial headroom height of the ship to obtain the current corrected headroom height. The central control unit then determines whether the current corrected headroom height of the ship falls within the headroom height range of the ship. If so, the current corrected headroom height is used as the current maximum headroom height of the ship and the process proceeds to step 6). If not, the process proceeds to step 3.

[0045] The meteorological rate value is determined based on meteorological information. In this embodiment, the meteorological information includes wind force and water flow velocity information. The relationship between wind force, water flow velocity and meteorological rate value is shown in the following table:

[0046]

[0047] 6) The central control unit obtains the navigation clearance of the river-crossing buildings on the channel through the navigation clearance detection module, and determines whether the current maximum clearance height of the ship is greater than the navigation clearance of the river-crossing buildings. If so, the central control unit sends an early warning message to the corresponding ship through the early warning module to avoid a bridge collision accident.

[0048] The early warning method of the present invention is based on an early warning system. Since the height of the same ship changes each time it passes through a bridge due to factors such as the cargo volume, and is constrained by the bridge's clearance height, ship tonnage, and cargo type, the range of height variation is small. Therefore, the present invention first repeatedly obtains the height of ships passing through the bridge through a ship clearance height measuring device, uses a central control unit as a data processing center, and constructs a ship database including the names of several ships and the clearance height ranges and high-definition image data corresponding to the ship names; during operation, the name of the ship that will pass through the bridge is obtained in advance through the AIS system module, the clearance height range of the ship is extracted from the ship database, the current initial clearance height is measured based on the ship image data obtained by the image recognition module, and the current maximum clearance height is determined based on the current initial clearance height and the meteorological rate value. Finally, it is judged whether the ship can pass through the bridge based on the navigation clearance height of the cross-river building and the current maximum clearance height of the ship;

[0049] Among them, the current initial clearance height is only used as a basic value, and the current maximum clearance height mainly depends on the preset meteorological rate value and the clearance height range. The clarity requirement of the image data obtained in real time by the image recognition module is relatively low, so that the judgment made by the early warning system is still highly reliable under poor lighting conditions or rain and fog and other weather conditions that are likely to affect camera shooting; during implementation, the early warning system can be installed on a river-crossing building, and the image recognition module can be installed independently of the early warning system at a location far away from the river-crossing building. During implementation, the type of information obtained by the meteorological module can also be increased, such as increasing the acquisition of light intensity information, and then adjusting the meteorological rate value according to wind force, water flow speed and light intensity to make the maximum clearance height closer to the actual value;

[0050] The early warning method described in the present invention is different from the existing active collision avoidance technology that measures the height of the ship in real time. When the present invention is in operation, it only needs to obtain the name of the ship in advance, and there is no need to perform accurate real-time measurement of the ship's height. Based on existing wireless communication and AIS system technologies, the ship's name can be obtained when the ship is several kilometers away from the bridge, and then a judgment is made and an alarm is issued to the corresponding ship through the early warning module, so that the effective collision avoidance distance of the bridge active collision avoidance method described in the present invention is much greater than the existing active collision avoidance technology. When the early warning unit issues an alarm to the corresponding ship, the ship is far away from the bridge, leaving more time for the ship to stop and turn around and return. For waterways with turbulent water flow or ships with large tonnage, the ship can also complete the stopping or returning operations. The active collision avoidance effect is better, which is conducive to improving the safety of ship passage.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the technical solutions. Those skilled in the art should understand that modifications or equivalent replacements of the technical solutions of the present invention that do not depart from the purpose and scope of the technical solutions of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A ship overheight warning method based on big data analysis, characterized by: A ship overheight warning system based on big data analysis is used. The system is located on the waterway and includes a central control unit and an AIS system module electrically connected to the central control unit, a ship clearance height measuring device, a central control unit, a navigation clearance detection module, a meteorological module, an image recognition module, and an early warning module. The AIS system module is also electrically connected to the ship clearance height measuring device. The AIS system module is used to obtain the ship name and coordinate information of each ship sailing on the channel. The ship clearance height measurement device is used to obtain the clearance height of ships sailing on the channel and correspond it to the ship name. The navigation clearance detection module is used to obtain the navigation clearance height of cross-river buildings on the channel. The meteorological module is used to obtain meteorological information. The image recognition module is used to remotely obtain image data of ships sailing on the channel. The early warning module is used to send early warning information to ships sailing on the channel. The ship clearance height measuring device includes a central control computer and a three-dimensional laser detection device and a high-definition tracking camera electrically connected to the central control computer, and the AIS system module is electrically connected to the central control computer in the ship clearance height measuring device; The three-dimensional laser detection equipment is used to obtain laser radar point cloud data of ships sailing on the channel and transmit it to the central control computer. The high-definition tracking camera is used to obtain high-definition image data of the ships sailing corresponding to the laser radar point cloud data and transmit it to the central control computer. The central control computer is used to measure the clearance height of the ships sailing based on the laser radar point cloud data and the high-definition image data. The central control computer is also used to correspond the measured clearance height of each ship sailing with the ship name obtained by the AIS system module. The ship overheight warning method based on big data analysis includes the following steps: 1) using the ship clearance height measurement device to obtain a number of basic data of ships passing through the channel, the basic data including the ship's name, clearance height and high-definition image data; 2) The central control unit establishes a ship database based on several sets of basic data. The ship database includes the names of several ships and the corresponding clearance height ranges and high-definition image data; 3) Use the AIS system module to obtain the names of ships currently passing through the channel, and use the image recognition module to obtain image data of ships currently passing through the channel; 4) The central control unit retrieves the ship's clearance height range from the ship database according to the ship's name, and measures the ship's current initial clearance height based on the ship's image data; 5) The central control unit obtains meteorological information through the meteorological module and determines the current maximum clearance height based on the meteorological information, the clearance height range of the ship and the current initial clearance height; 6) The central control unit obtains the navigation clearance of the river-crossing buildings on the channel through the navigation clearance detection module, and determines whether the current maximum clearance height of the ship is greater than the navigation clearance of the river-crossing buildings. If so, the central control unit sends an early warning message to the corresponding ship through the early warning module to avoid a bridge collision accident.

2. The method for early warning of ship overheight based on big data analysis according to claim 1, characterized in that: The horizontal emission angle of the three-dimensional laser detection device is 0.5 radians, and the detection rate of the three-dimensional laser detection device is greater than 100,000 points per second.

3. The ship overheight warning method based on big data analysis according to claim 1 is characterized by: The effective distance of the ship clearance height measuring device for measuring height is 5 to 1400 meters, and the height measurement accuracy is less than 20 centimeters.

4. The method for early warning of ship overheight based on big data analysis according to claim 1, characterized in that: The navigation clear height detection module includes water level detection equipment, and the meteorological module includes meteorological detection equipment.

5. The method for early warning of ship overheight based on big data analysis according to claim 1, characterized in that: The image recognition module includes monitoring devices arranged at intervals along both sides of the waterway.

6. The method for early warning of ship overheight based on big data analysis according to claim 1, characterized in that: The early warning module includes an early warning transmitting device electrically connected to the central control unit and an early warning receiving device installed on the ship.

7. The method for early warning of ship overheight based on big data analysis according to claim 1, characterized in that: Step 5) includes the following sub-steps: 51) The central control unit subtracts the preset weather rate value from the current initial clearance altitude of the ship to obtain the current corrected clearance altitude; 52) Determine whether the current corrected headroom of the ship is within the headroom range of the ship. If so, use the current corrected headroom as the current maximum headroom of the ship and execute step 6). If not, execute step 3).

8. The method for early warning of ship overheight based on big data analysis according to claim 1, characterized in that: In step 4), if the number of ships currently passing through the channel is greater than one, the central control unit will also compare the image data of each ship with the high-definition image data corresponding to the ship name obtained by the AIS system module, so that the current clearance height of each ship obtained based on the image data corresponds one-to-one with the clearance height range of each ship retrieved from the ship database.

Images