Intelligent sea surface pollution monitoring system based on multi-source data

Abstract

The invention provides a sea surface pollution intelligent monitoring system based on multi-source data, and the system comprises a comprehensive analysis module, an information topology module, a sea surface monitoring module, and the sea surface monitoring module is used for obtaining sea surface pollution monitoring data. The data transmission module realizes interactive communication between the sea surface monitoring module and the information topology module, and the interactive communication comprises transmitting sea surface pollution monitoring data to the comprehensive analysis module; the comprehensive analysis module and the information topological optimization module are used for analyzing and early warning multi-source data, integrating, cleaning and analyzing the data, identifying and correcting errors, abnormities or noise in the data, ensuring the accuracy and credibility of the data, mining data information by using deep learning, then performing intelligent decision distribution, and finally performing data processing. And the monitoring, early warning and emergency response capabilities of sea surface pollution events are improved. Through the above modules, omnibearing, three-dimensional and real-time monitoring and early warning of offshore sudden pollution can be realized.

Description

Technical Field

[0001] The present application belongs to the technical field of sea surface pollution monitoring, and in particular, relates to an intelligent sea surface pollution monitoring system based on multi-source data. Background Art

[0002] In recent years, the rapid development of the marine transportation industry has exacerbated the problem of marine pollution, especially the sudden leakage of pollutants such as oil, hazardous chemicals and radionuclides, which has seriously endangered the biodiversity of the ocean and the balance of the marine ecological environment. At present, the main means of monitoring sea surface pollution are buoys, ships, aircraft, satellites, etc. Among them, satellite monitoring has the characteristics of large coverage area and multi-phase compared with other monitoring methods, and is one of the main technical means for the prevention and control of sudden marine pollution accidents.

[0003] Xing Qing used the three-step idea of ​​coarse extraction, fine segmentation and post-localization in "Research on Marine Target Detection Method Based on Visual Saliency". In the coarse extraction stage, he studied the marine target detection method by combining the saliency features of the target, but did not pay attention to the overall monitoring system. [1] . Patent CN110244763B relates to a remote monitoring system for seawater pollutants, including an unmanned boat and a drone, and a controller, which can switch between a cruise mode and a sea surface monitoring mode. The drones and unmanned boats that perform cruise missions are used for regular monitoring, which reduces the cost of monitoring seawater pollutants. Patent application CN115633398A relates to a sea surface monitoring robot system, including a communication terminal, a drone and a visual robot, all of which are arranged on a buoy at sea. The drone is used to monitor the dynamics of the sea surface at close range. Patent application CN113156420A proposes an oil spill detection system and method, involving a drone and a ground control terminal. The fused image is transmitted through the communication connection between the drone and the ground control terminal. The ground control terminal analyzes the fused image received in real time to analyze the type of oil spill, the amount of oil spill and the thickness of the oil film.

[0004] In recent years, satellite remote sensing, combined with offshore buoys, ship loads, aircraft inspections and other technologies, have been widely used in sea surface pollution monitoring. However, in the process of realizing intelligent and information-based sea surface pollution monitoring, the following problems still exist:

[0005] (1) Due to the vastness of the ocean, it is not efficient to obtain spatial information on sea surface pollution by relying solely on buoys, ships and other equipment;

[0006] (2) Accurate monitoring and prediction of the trajectory of sea pollution incidents requires accurate environmental data, but the marine environment is complex and changeable, making the information on sea pollution accidents not very accurate;

[0007] (3) Since sea surface pollution data from different sources need to be analyzed intelligently, sea surface pollution emergency collaboration data are not obtained in a timely manner.

[0008] At present, there is no intelligent sea surface monitoring system that integrates buoys, ships, aircraft and satellites, integrates multiple data sources, and uses data analysis technology, image analysis technology and other means to monitor and predict the occurrence, spread and evolution of sea surface pollution to achieve comprehensive ocean monitoring.

[0009] [1] Xing Qing. Research on marine target detection method based on visual saliency[D]. National Marine Technology Center, 2020. DOI: 10.27074 / d.cnki.ghyjy.2020.000001. Summary of the invention

[0010] The main purpose of the present invention is to provide a method and system for intelligent monitoring of sea surface pollution based on multi-source data, so as to solve the problem of low accuracy of sea surface pollution accident information in the prior art.

[0011] In order to solve the above problems, the present invention provides an intelligent monitoring system for sea surface pollution based on multi-source data, the intelligent monitoring system for sea surface pollution comprising: a sea surface monitoring module, the sea surface monitoring module comprising a satellite monitoring unit, an aviation monitoring unit, a ship monitoring unit, and a roadbed monitoring unit, for acquiring sea surface pollution monitoring data; a data transmission module, the data transmission module comprising a satellite monitoring data transmission unit, an aviation monitoring data transmission unit, a ship monitoring data transmission unit, and a roadbed monitoring data transmission unit, for realizing interactive communication between the sea surface monitoring module and a comprehensive analysis module, the interactive communication comprising transmitting the sea surface pollution monitoring data to the comprehensive analysis module; a comprehensive analysis module, the comprehensive analysis module comprising a data fusion unit, a data processing unit, a response trigger unit, and a monitoring platform unit; the data fusion unit realizes the comprehensive processing of the sea surface pollution monitoring data acquired by each monitoring unit in the sea surface monitoring module; the data processing unit automatically obtains the sea surface pollution monitoring data from the sea surface pollution monitoring module; The pollution type, location of pollution incidents and scope of pollution are extracted from the pollution monitoring data; the response trigger unit quantifies the pollution risk into high risk, critical risk and low risk according to the different risk probabilities and harmful consequences of various types of sea pollution accidents; the monitoring platform unit sets up a geographic base map overlay module to realize the integrated visual monitoring of the sea surface; the information topology module and the information topology optimization module include a data cloud unit, an emergency response unit and an information collaboration unit; the data cloud unit includes a distributed emergency three-dimensional monitoring data storage sharing cloud, which supports the organization and management of sea surface pollution monitoring data in the cloud, and provides data services in the form of data as a service, and provides online data processing and analysis in the form of software as a service; the emergency response unit responds and deploys after the response trigger unit makes a judgment; the information collaboration unit shares information to realize the real-time sharing of sea surface pollution monitoring data, emergency response plans, accident handling progress and lessons learned.

[0012] Furthermore, the above-mentioned satellite monitoring unit includes offshore thin oil film sensors, hazardous chemicals sensors and radionuclide sensors to achieve continuous and quantitative monitoring of the sea surface.

[0013] Furthermore, the ship monitoring unit can carry out mobile monitoring in rainy and foggy days; the roadbed monitoring unit includes a buoy with a positioning module and a shore-based monitoring station to monitor shallow sea water depth, chlorophyll concentration, and oil pollution distribution information.

[0014] Furthermore, the above-mentioned satellite monitoring data transmission unit includes a transmitting end located on the satellite monitoring unit side and a ground receiving end. The transmitting end includes channel coding, scrambling, baseband shaping, modulation amplification, channel filtering, and antenna transmission system. The ground receiving end receives the sea surface pollution monitoring data from the transmitting end, converts it into a baseband signal through comprehensive processing including demodulation, descrambling, and decoding, extracts the target type, target position, and scene understanding processing, and then sends the extracted information to the comprehensive analysis module.

[0015] Furthermore, the above-mentioned aviation monitoring data transmission unit realizes interactive communication between the aviation monitoring unit and the comprehensive analysis module through the communication interface components Ethernet and the multi-channel communication board, and uses the simplified high-level data link control procedure or TCP / IP protocol as the communication protocol to send the sea surface pollution monitoring data from the aviation monitoring unit to the comprehensive analysis module.

[0016] Furthermore, the above-mentioned ship monitoring data transmission unit realizes interactive communication between the ship monitoring unit and the comprehensive analysis module through ship positioning technology and / or global positioning system; the roadbed monitoring data transmission unit includes long-distance wireless communication mode, short-distance wireless communication mode and wired data transmission mode. The roadbed monitoring data transmission unit aggregates the sea surface pollution monitoring data obtained by the sea surface monitoring module to a data aggregation node, and then transmits the sea surface pollution monitoring data to the comprehensive analysis module through the data aggregation node; long-distance wireless communication modes include GPRS, NB-IOT, satellite communication and 4G; short-distance wireless communication modes include LoRa, ZigBee, Bluetooth, Wi-Fi; wired data transmission modes include RS-232 and RS-485 communication interfaces.

[0017] Furthermore, the data processing unit cleans, aligns, extracts features and analyzes the sea surface pollution monitoring data, mines the inherent correlation of the data, and automatically extracts the pollution type, pollution location and pollution range.

[0018] Furthermore, the above-mentioned monitoring platform unit includes a geographic base map overlay module to realize integrated visual monitoring of the sea surface, and at the same time visualize all modules of the sea surface pollution intelligent monitoring system based on the sea surface pollution monitoring data. Users can choose to view different types of modules and different types of base maps to output results according to their needs.

[0019] Furthermore, the above-mentioned data cloud unit supports big data analysis and mining.

[0020] Furthermore, the process of response and deployment of the above-mentioned emergency response unit includes: when the pollution risk is critical risk and low risk, a collaborative relationship and topological scheme are automatically formed, no external manual intervention is required to guide the organizational process, and the resource allocation of the monitoring units in the sea surface monitoring module is adaptively adjusted to adapt to task changes and the dynamics of system load; when the pollution risk is high risk, the offshore pollution emergency response organization is manually mobilized, the division of responsibilities and cooperation mechanism of all parties are clarified, and emergency plans and disposal plans are formulated.

[0021] The solution of the present invention achieves the following beneficial technical effects:

[0022] 1) A three-dimensional sea surface intelligent perception system has been established. Combining satellite remote sensing, aircraft, ship loads and roadbed emergency response, through sea surface monitoring, data transmission, comprehensive analysis, and information topology modules, an integrated land-sea-air-space monitoring platform for offshore pollution accidents has been built to achieve all-weather, high-density ocean monitoring.

[0023] 2) Multi-source data integration and automated analysis have been established to integrate sea surface observation data from multiple data sources, while realizing automated data analysis and processing to provide real-time and high-quality ocean information.

[0024] 3) It realizes marine ecological protection and disaster warning, monitors the marine environment in real time, and uses data analysis technology to detect abnormal situations, support marine ecological protection, disaster warning and emergency response, and provide more accurate ecological information and warning systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The following will further explain the above characteristics, technical features, advantages and implementation methods of the present application in a clear and understandable manner through the description of the preferred embodiments and in combination with the accompanying drawings. The following drawings are only intended to illustrate and explain the present application, and do not limit the scope of the present application. Among them:

[0026] Figure 1 An intelligent sea surface pollution monitoring system based on multi-source data provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0027] In order to have a clearer understanding of the technical features, purposes and effects of the present application, the specific implementation methods of the present application are now described with reference to the accompanying drawings.

[0028] The technical solution provided by this application solves the problem of low accuracy of sea pollution accident information in the prior art.

[0029] According to a typical implementation of the present application, Figure 1 As shown, a sea surface pollution intelligent monitoring system based on multi-source data is provided, and the sea surface pollution intelligent monitoring system includes a sea surface monitoring module, a data transmission module, a comprehensive analysis module, and an information topology module; the sea surface monitoring module includes a satellite monitoring unit, an aviation monitoring unit, a ship monitoring unit, and a roadbed monitoring unit, which are used to obtain sea surface pollution monitoring data; the data transmission module includes a satellite monitoring data transmission unit, an aviation monitoring data transmission unit, a ship monitoring data transmission unit, and a roadbed monitoring data transmission unit, which realizes interactive communication between the sea surface monitoring module and the comprehensive analysis module, and the interactive communication includes transmitting the sea surface pollution monitoring data to the comprehensive analysis module; the comprehensive analysis module includes a data fusion unit, a data processing unit, a response trigger unit, and a monitoring platform unit; the data fusion unit realizes the comprehensive processing of the sea surface pollution monitoring data obtained by each monitoring unit in the sea surface monitoring module; the data processing unit automatically obtains the sea surface pollution monitoring data from the sea surface monitoring module; The pollution type, location of pollution incidents and scope of pollution are extracted from the surface pollution monitoring data; the response trigger unit quantifies the pollution risk into high risk, critical risk and low risk according to the different risk probabilities and harmful consequences of various types of sea surface pollution accidents; the monitoring platform unit sets up a geographic base map overlay module to realize the integrated visual monitoring of the sea surface; the information topology optimization module includes a data cloud unit, an emergency response unit and an information coordination unit; the data cloud unit includes a distributed emergency three-dimensional monitoring data storage sharing cloud, which supports the organization and management of sea surface pollution monitoring data in the cloud, and provides data services in the form of data as a service, and provides online data processing and analysis in the form of software as a service; the emergency response unit responds and deploys after the response trigger unit makes a judgment; the information coordination unit shares information to realize the real-time sharing of sea surface pollution monitoring data, emergency response plans, accident handling progress and lessons learned.

[0030] The sea surface monitoring module monitors the sea surface around the clock and establishes a monitoring network based on space, air, sea and ground, which helps to improve the efficiency of data acquisition of sea pollution information and improve the monitoring capability of sea pollution. The data transmission module is used for integrated land-sea-air-space monitoring data transmission, including land stations, sea surface ships, aircraft (such as airplanes or drones), satellites and other different equipment, so that the monitoring data of different equipment can be transmitted reliably, in real time and efficiently within the system. The comprehensive analysis module and the information topology optimization module are used to analyze and warn multi-source data, integrate, clean and analyze data, identify and correct errors, anomalies or noise in data, ensure the accuracy and credibility of data, use deep learning to mine data information and distribute intelligent decisions, and improve the monitoring, warning and emergency response capabilities of sea pollution incidents. Through these modules, it is helpful to realize the all-round, three-dimensional and real-time monitoring and warning of sudden offshore pollution.

[0031] The satellite monitoring unit has the advantages of wide monitoring range and all-weather. It is preferred that the satellite monitoring unit includes offshore thin oil film sensors, hazardous chemicals sensors and radionuclide sensors to achieve continuous and quantitative monitoring of the sea surface. At the same time, the aviation monitoring unit carries various sensors through aircraft (unmanned aerial vehicles, etc.), which can monitor the pollution of the sea surface in a large range, synchronously and continuously in the air, and has the advantages of fast speed, flexibility, and high spectral and spatial resolution.

[0032] It is preferred that the ship monitoring unit conducts mobile monitoring on rainy and foggy days, and uses the monitoring equipment on board the ship to obtain monitoring data information, which can achieve the purpose of monitoring sea surface pollution in rainy and foggy weather, and can make up for the shortcomings of optical monitoring instruments. The roadbed monitoring unit includes a buoy with a positioning module and a shore-based monitoring station to monitor shallow sea water depth, chlorophyll concentration, and oil distribution information. Through the comprehensive use of the above-mentioned monitoring units, multi-source data can be pre-processed to make subsequent identification more accurate. At the same time, the active and passive detection methods of marine optics are integrated to carry out active and passive coordinated detection of sudden marine pollution accidents.

[0033] In one embodiment, the above-mentioned satellite monitoring data transmission unit preferably includes a transmitting end and a ground receiving end located on the satellite monitoring unit side, the transmitting end includes channel coding, scrambling, baseband shaping, modulation amplification, channel filtering, and an antenna transmission system, and the ground receiving end receives the sea surface pollution monitoring data from the transmitting end, converts it into a baseband signal through a comprehensive processing including demodulation, descrambling, and decoding, extracts the target type, target location, and scene understanding processing, and then sends the extracted information to the comprehensive analysis module.

[0034] In one embodiment, the above-mentioned aviation monitoring data transmission unit preferably realizes interactive communication between the aviation monitoring unit and the comprehensive analysis module through the communication interface component Ethernet and the multi-channel communication board, and uses the simplified high-level data link control procedure or TCP / IP protocol as the communication protocol to send sea surface pollution monitoring data from the aviation monitoring unit to the comprehensive analysis module.

[0035] In one embodiment, the above-mentioned ship monitoring data transmission unit preferably realizes interactive communication between the ship monitoring unit and the comprehensive analysis module through ship positioning technology and / or global positioning system; the roadbed monitoring data transmission unit includes long-distance wireless communication mode, short-distance wireless communication mode and wired data transmission mode. The roadbed monitoring data transmission unit aggregates the sea surface pollution monitoring data obtained by the sea surface monitoring module to a data aggregation node, and then transmits the sea surface pollution monitoring data to the comprehensive analysis module through the data aggregation node; the long-distance wireless communication mode includes GPRS, NB-IOT, satellite communication and 4G; the short-distance wireless communication mode includes LoRa, ZigBee, Bluetooth, Wi-Fi; the wired data transmission mode includes RS-232 and RS-485 communication interfaces.

[0036] In one embodiment, the data processing unit preferably cleans, aligns, extracts features and analyzes the sea surface pollution monitoring data, mines the intrinsic correlation of the data, and automatically extracts the pollution type, pollution event location and pollution scope.

[0037] In one embodiment, the above-mentioned monitoring platform unit preferably includes a geographic base map overlay module to realize integrated visual monitoring of the sea surface, and at the same time visualize all modules of the sea surface pollution intelligent monitoring system based on the sea surface pollution monitoring data. Users can choose to view different types of modules and different types of base maps to output results according to their needs.

[0038] In one embodiment, the above-mentioned data cloud unit preferably supports big data analysis and mining.

[0039] In one embodiment, the process of reaction and deployment of the above-mentioned emergency response unit preferably includes: when the pollution risk is critical risk and low risk, a collaborative relationship and a topological scheme are automatically formed, without the need for external manual intervention to guide the organizational process, and the resource allocation of the monitoring units in the sea surface monitoring module is adaptively adjusted to adapt to task changes and the dynamics of the system load; when the pollution risk is high risk, the offshore pollution emergency response organization is manually mobilized, the division of responsibilities and cooperation mechanism of all parties are clarified, and emergency plans and disposal plans are formulated.

[0040] It should be understood that although this specification is described according to various embodiments, not every embodiment contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0041] The above description is only an illustrative embodiment of the present application and is not intended to limit the scope of the present application. Any equivalent changes, modifications and combinations made by any technician in the field without departing from the concept and principle of the present application shall fall within the scope of protection of the present application.

Claims

1. An intelligent monitoring system for sea pollution based on multi-source data, wherein: The sea surface pollution intelligent monitoring system comprises: A sea surface monitoring module, which includes a satellite monitoring unit, an aviation monitoring unit, a ship monitoring unit, and a roadbed monitoring unit, and is used to obtain sea surface pollution monitoring data; A data transmission module, the data transmission module includes a satellite monitoring data transmission unit, an aviation monitoring data transmission unit, a ship monitoring data transmission unit, and a roadbed monitoring data transmission unit, and realizes interactive communication between the sea surface monitoring module and the comprehensive analysis module, wherein the interactive communication includes transmitting the sea surface pollution monitoring data to the comprehensive analysis module; A comprehensive analysis module, the comprehensive analysis module includes a data fusion unit, a data processing unit, a response trigger unit and a monitoring platform unit; the data fusion unit realizes the comprehensive processing of the sea surface pollution monitoring data obtained by each monitoring unit in the sea surface monitoring module; the data processing unit automatically extracts the pollution type, pollution event location and pollution range from the sea surface pollution monitoring data; the response trigger unit quantifies the pollution risk into high risk, critical risk and low risk according to the different risk probabilities and harmful consequences of various types of sea surface pollution accidents; the monitoring platform unit sets a geographic base map overlay module to realize the integrated visual monitoring of the sea surface; Information topology module, the information topology optimization module includes a data cloud unit, an emergency response unit, and an information coordination unit; the data cloud unit includes a distributed emergency three-dimensional monitoring data storage sharing cloud, which supports the organization and management of the sea surface pollution monitoring data in the cloud, and provides data services in the form of data as a service, and provides online data processing and analysis in the form of software as a service; the emergency response unit reacts and deploys after the response trigger unit makes a judgment; the information coordination unit shares information to realize real-time sharing of the sea surface pollution monitoring data, emergency response plans, accident handling progress and lessons learned.

2. The intelligent monitoring system for sea surface pollution according to claim 1 is characterized in that: The satellite monitoring unit includes an offshore thin oil film sensor, a hazardous chemical sensor and a radionuclide sensor to achieve continuous and quantitative monitoring of the sea surface.

3. The intelligent monitoring system for sea surface pollution according to claim 2 is characterized in that: The ship monitoring unit performs mobile monitoring in rainy and foggy days; The roadbed monitoring unit includes a buoy with a positioning module and a shore-based monitoring station, which can monitor information including shallow sea water depth, chlorophyll concentration, and oil pollution distribution.

4. The intelligent monitoring system for sea surface pollution according to claim 1 is characterized in that: The satellite monitoring data transmission unit includes a transmitter and a ground receiving end located on the satellite monitoring unit side. The transmitter includes channel coding, scrambling, baseband shaping, modulation amplification, channel filtering, and antenna transmission systems. The ground receiving end receives the sea surface pollution monitoring data from the transmitter, converts it into a baseband signal through a comprehensive process including demodulation, descrambling, and decoding, extracts the target type, target position, and scene understanding processing, and then sends the extracted information to the comprehensive analysis module.

5. The intelligent monitoring system for sea surface pollution according to claim 4 is characterized in that: The aviation monitoring data transmission unit realizes interactive communication between the aviation monitoring unit and the comprehensive analysis module through the communication interface components Ethernet and multi-channel communication board, and uses the simplified high-level data link control procedure or TCP / IP protocol as the communication protocol to send the sea surface pollution monitoring data from the aviation monitoring unit to the comprehensive analysis module.

6. The intelligent monitoring system for sea surface pollution according to claim 5 is characterized in that: The ship monitoring data transmission unit realizes interactive communication between the ship monitoring unit and the comprehensive analysis module through ship positioning technology and / or global positioning system; The roadbed monitoring data transmission unit includes a long-distance wireless communication mode, a short-distance wireless communication mode and a wired data transmission mode. The roadbed monitoring data transmission unit aggregates the sea surface pollution monitoring data obtained by the sea surface monitoring module to a data aggregation node, and then transmits the sea surface pollution monitoring data to the comprehensive analysis module through the data aggregation node; The long-distance wireless communication methods include GPRS, NB-IOT, satellite communication and 4G; the short-distance wireless communication methods include LoRa, ZigBee, Bluetooth, Wi-Fi; the wired data transmission methods include RS-232 and RS-485 communication interfaces.

7. The intelligent monitoring system for sea surface pollution according to claim 1 is characterized in that: The data processing unit cleans, aligns, extracts features and analyzes the sea surface pollution monitoring data, mines the internal associations of the data, and automatically extracts the pollution type, pollution event location and pollution scope.

8. The intelligent monitoring system for sea surface pollution according to claim 7 is characterized in that: The monitoring platform unit includes a geographic base map overlay module to realize integrated visual monitoring of the sea surface, and at the same time visualizes all modules of the sea surface pollution intelligent monitoring system based on the sea surface pollution monitoring data. Users can choose to view different types of modules and different types of base maps to output results according to their needs.

9. The intelligent monitoring system for sea surface pollution according to claim 1 is characterized in that: The data cloud unit supports big data analysis and mining.

10. The intelligent monitoring system for sea surface pollution according to claim 9 is characterized in that: The process of response and deployment of the emergency response unit includes: When the pollution risk is the critical risk and the low risk, a collaborative relationship and a topological scheme are automatically formed, and no external manual intervention is required to guide the organization process, and the resource allocation of the monitoring units in the sea surface monitoring module is adaptively adjusted to adapt to task changes and the dynamics of system load; When the pollution risk is the high risk as described above, the offshore pollution emergency response organization shall be manually mobilized, the division of responsibilities and cooperation mechanism of all parties shall be clarified, and emergency plans and disposal plans shall be formulated.

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