CN112562241A - System for driving away night fishing personnel - Google Patents

System for driving away night fishing personnel Download PDF

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Publication number
CN112562241A
CN112562241A CN202011394955.1A CN202011394955A CN112562241A CN 112562241 A CN112562241 A CN 112562241A CN 202011394955 A CN202011394955 A CN 202011394955A CN 112562241 A CN112562241 A CN 112562241A
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data
fishing
platform
aerial vehicle
unmanned aerial
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张永超
许芳燕
严晓春
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Suzhou Industrial Park Management Committee
Suzhou Industrial Park Surveying Mapping And Geoinformation Co ltd
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Suzhou Industrial Park Management Committee
Suzhou Industrial Park Surveying Mapping And Geoinformation Co ltd
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Priority to CN202011394955.1A priority Critical patent/CN112562241A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/254Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/182Network patterns, e.g. roads or rivers
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19639Details of the system layout
    • G08B13/19647Systems specially adapted for intrusion detection in or around a vehicle
    • G08B13/1965Systems specially adapted for intrusion detection in or around a vehicle the vehicle being an aircraft
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/183Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
    • H04N7/185Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control

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  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
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  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Selective Calling Equipment (AREA)

Abstract

The invention discloses a system for driving away night fishing personnel, which comprises a data access alarm layer, a platform layer and an application layer, wherein the data access alarm layer comprises unmanned aerial vehicle equipment, an unmanned aerial vehicle airborne device, a remote control system and a fleet management system, the platform layer comprises a video cloud service, an AI middle platform and a big data platform, the video cloud service is used for storing and managing information, the AI middle platform is used for carrying out reasoning calculation to obtain fishing identification data and sending alarm data to the remote control system, the big data platform is used for receiving the fishing identification data and receiving flight data of the unmanned aerial vehicle equipment, the application layer comprises a visualization component and a movable client terminal, the visualization component is used for receiving the big flight data, and the movable client terminal is used for generating a work order and receiving the fishing identification data, can automatically generate a work order, can effectively drive away fishing personnel at night, and has high driving away efficiency.

Description

System for driving away night fishing personnel
Technical Field
The invention relates to the technical field of night fishing, in particular to a system for driving away people fishing at night.
Background
Some fishing personnel place little motor boat or kayak and diving suit device in vehicle trunk or carriage, carry quick travel easily, can wear to arrange by the very short time night at the lake, and the position of keeping away from the bank is arrived in quick launch, then spills the net and salvages the fishing, brings serious destruction for the environmental ecology in the lake. However, as the water body is huge, the distribution of the water launching positions is wide and the number of the water launching positions is large, law enforcement personnel have no effective prevention and treatment means for illegal events of catching fish at night, and generally only can temporarily operate a ship to cruise at night or use an unmanned aerial vehicle to cruise. Temporary manual operation cruise is adopted for a null-star water area, visual observation is carried out, a law enforcement person takes pictures and records suspicious ships, a work order is formed by manually using law enforcement terminals such as a grid expert, manual treatment links are more, moving ships are large in movement and static, and timeliness cannot be guaranteed; the manual cruising of unmanned aerial vehicle can't ensure efficiency, can discover whether the ship is purely by fortune, is operated towards the unmanned aerial vehicle control cabinet in the night, lacks the humanistic care, also is very big examination to law enforcement personnel's energy. Therefore, for a system for driving away people catching fish at night, the existing method for driving away people has the problems of multiple manual processing links and low efficiency.
Disclosure of Invention
In order to overcome the above disadvantages, the present invention provides a system for driving away persons catching fish at night, which can automatically generate a work order, and can effectively drive away persons catching fish at night with high driving-away efficiency.
In order to achieve the above purposes, the invention adopts the technical scheme that: a system for driving away night fishing personnel comprises a data access alarm layer, a platform layer and an application layer, wherein the data access alarm layer is connected with the platform layer, and the platform layer is connected with the application layer; the data access alarm layer comprises unmanned aerial vehicle equipment, an unmanned aerial vehicle airborne device used for acousto-optic driving and obtaining night fishing personnel information, a remote control system used for remote calling and a fleet management system used for obtaining flight data of the unmanned aerial vehicle equipment; the platform layer comprises a video cloud service, an AI middle platform and a big data platform, wherein the video cloud service is used for receiving night fishing personnel information acquired by an airborne device of the unmanned aerial vehicle, storing and managing the information, and opening a capturing service and a retrieving service of the night fishing personnel information to the AI middle platform; the application layer comprises a visualization component and a movable client terminal, the visualization component is used for receiving flight data of the unmanned aerial vehicle equipment acquired by the big data platform, and the movable client terminal is used for generating a work order and receiving fishing identification data acquired by the big data platform.
The system for driving away the night fishing personnel has the advantages that when the unmanned aerial vehicle starts flying at night, the unmanned aerial vehicle airborne device, the remote control system and the fleet management system can realize full-automatic scheduling and automatic driving of the unmanned aerial vehicle, shoot videos or pictures and support high-speed connection of a 4G/5G network and the Internet. The fleet management system opens an API interface and transmits the flight data (such as flight data chain, task and hangar state messages) of the unmanned aerial vehicle equipment to a big data platform. The video or the picture that unmanned aerial vehicle airborne device shot is uploaded to the AI middlebox, the AI middlebox receives the video or the picture after, combine the video time point, obtain AI discernment result promptly fishing identification data (night fishing personnel prepare at night or are carrying out illegal fishing's video or picture) through the message queue mechanism, carry fishing identification data to big data platform again, the AI middlebox can send alarm data to remote control system when obtaining fishing identification data, remote control system regulation and control unmanned aerial vehicle airborne device carries out the reputation and drives away, carry out expulsion warning at once or carry out the on-the-spot waiting and remind to carrying out illegal fishing personnel at the ready night fishing, realized the prevention to illegal fishing action at night. While acousto-optic driving away, nearby law enforcement officers can be appointed to operate the ship to a water area where night fishing occurs to drive away, and the situation that the officers ready for night fishing leave is further ensured; or the night fishing personnel who are carrying out illegal fishing catch can be caught, and when the night fishing personnel who are carrying out illegal fishing catch escape due to the reminding of sound and light driving away, the follow-up catching can be caught through the fishing identification data. The remote law enforcement personnel can observe the flight track, the position state and the like of the unmanned aerial vehicle equipment through the visualization component; meanwhile, fishing identification data (videos or pictures of night fishing personnel preparing at night or performing illegal fishing) can be checked through the movable client terminal, and work orders can be downloaded and generated through the movable client terminal, so that manual processing links are effectively reduced. The system, automatic unmanned aerial vehicle equipment acts in real time, can drive away from night fishing personnel by using sound and light in advance of the work order, replaces manual work to automatically generate the work order, greatly shortens the generation period of the work order, realizes timely driving away, is accurate and efficient, and greatly reduces manual processing links. The law enforcement personnel can reach the waters position that the night fishing takes place fast according to unmanned aerial vehicle equipment position after.
The invention further improves that the airborne device of the unmanned aerial vehicle comprises a variable-focus tripod head far infrared camera, a flashing lamp strip, a directional sound amplifying device and a highlight searchlight, wherein the variable-focus tripod head far infrared camera, the flashing lamp strip, the directional sound amplifying device and the highlight searchlight are connected with an AI middle platform through a remote control system to realize remote calling. Once a suspicious ship occurs, the AI middle stage controls the unmanned aerial vehicle to hover in a programmable mode, points to the direction of the ship, pulls the camera lens of the far infrared camera of the variable-focus holder to be close to the suspicious ship, and carries out more precise behavior identification and shooting; the flashing lamp band marks law enforcement roles of the unmanned aerial vehicle, so that the deterrence force is enhanced, the directional sound amplifying device and the searchlight accurately point to the ship and the peripheral position, the preset sound alarm is played for driving away, the deterrence and driving away effects can be enhanced, and the accidental water falling probability caused by the fact that illegal personnel are forced to be driven away by the law enforcement ship and are too confused can be effectively reduced.
The platform layer further comprises an API gateway, the API gateway comprises an application integration module, a message integration module and a data integration module, the application integration module is used for receiving the fishing identification data obtained by the AI midrange reasoning calculation and transmitting the fishing identification data to the message integration module, the message integration module is used for receiving the fishing identification data acquired by the application integration module, arranging the fishing identification data into a message queue through a message middleware and transmitting the message queue to the data integration module, receiving the alarm data sent by the AI midrange and transmitting the alarm data to a remote control system, and the data integration module transmits the received fishing identification data to the big data platform through an ETL tool. An application integration module: receiving fishing identification data, arranging the fishing identification data into a JSON format, and sending the fishing identification data to an application integration module of an API gateway by an AI middle platform in an API mode through an HTTP protocol or an HTTPS protocol; a message integration module: after the application integration module receives the fish stealing identification data, the fish stealing identification data are arranged into a message queue through message middleware service and then sent to the data integration module, the alarm data sent by the AI middlebox are received by the message integration module and then are sent to the remote control system, and the remote control system calls the unmanned aerial vehicle equipment; a data integration module: the data integration module extracts the received fishing identification data to a big data platform through an ETL tool, and the big data platform can form a persistent base table which is stored in an increment mode along with time.
The platform layer further comprises a GIS middle station, and the GIS middle station is used for receiving the flight data acquired by the fleet management system and transmitting the flight data to the big data platform. Unmanned aerial vehicle equipment is flying in the air at night, carries the camera and monitors fishing personnel at night above the lake body, and the GIS middlings provide the projected geographical position information in unmanned aerial vehicle equipment place in real time, helps law enforcement personnel to fix a position the scene fast. The big data platform collects and stores flight tracks, position states and the like of the unmanned aerial vehicle equipment.
As a further improvement of the invention, the big data platform comprises a temporary library, an aggregation library, a central library and a special topic library. The large data platform can form a persistent base table which is stored in an increment mode along with time and is placed in the temporary database. The special subject database is a data mart, realizes business logic integration with other subject domain data, draws the data into a wide table, defines a data dimension structure, and supports business logic of user interface visualization. The big data platform will store fishing identification data.
The movable client terminal comprises a leader cockpit APP and a work order generation system which are arranged in the movable client terminal, the leader cockpit APP and the work order generation system are both connected with a big data platform, the leader cockpit APP is used for receiving AI middlebox reasoning and calculating to obtain fishing identification data, and the work order generation system is used for receiving flight data of the unmanned aerial vehicle equipment acquired by the remote control system. The leading cockpit APP and the work order generation system are connected with the big data platform, and the leading cockpit APP can check fishing identification data (videos or pictures for night fishing personnel to prepare or illegally fish at night) at any time through the fishing identification data stored in the big data platform. Before the driving-away starts, according to the preset event level and the water area position where the night fishing happens, pretreatment can be carried out in time, a detailed work order is generated rapidly and is issued to business systems such as a grid expert, and field law enforcement personnel can carry out the following steps according to the work order information: such as the longitude and latitude of the fish catching place, the ship range, the number of personnel, the real-time geographic position and the like, and planning the attendance route, police resources and disposal schemes in advance. After the driving-away is completed, law enforcement officers can download the work order in the work order generation system through the movable client terminal to automatically generate the work order.
The invention further improves the system and the method, and further comprises an FTP server, wherein the FTP server is connected with the AI middlebox and used for storing AI middlebox reasoning calculation to obtain fishing identification data, and the work order generating system is connected with the FTP server. The AI center can transmit fishing identification data (videos or pictures of night fishing personnel preparing at night or carrying out illegal fishing) to the FTP server for centralized storage; the work order system can access the FTP server through an HTTP protocol, and further can better perform work order preprocessing according to fishing identification data (videos or pictures of night fishing personnel preparing at night or performing illegal fishing).
The unmanned aerial vehicle device further comprises an unmanned aerial vehicle hangar which is used for parking, flying and charging the unmanned aerial vehicle device. Unmanned aerial vehicle equipment can park, charge and fly off at the hangar automation.
Drawings
FIG. 1 is a general technical architecture diagram of the present embodiment;
fig. 2 is a system deployment diagram of the present embodiment.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and thus will clearly and clearly define the scope of the invention.
Referring to fig. 1-2, the system for driving away people catching fish at night in the present embodiment includes a data access alarm layer, a platform layer and an application layer, wherein the data access alarm layer is connected to the platform layer and the platform layer is connected to the application layer; the data access alarm layer comprises unmanned aerial vehicle equipment, an unmanned aerial vehicle airborne device used for acousto-optic driving and obtaining night fishing personnel information, a remote control system used for remote calling and a fleet management system used for obtaining flight data of the unmanned aerial vehicle equipment; the platform layer comprises a video cloud service, an AI middle platform and a big data platform, wherein the video cloud service is used for receiving night fishing personnel information acquired by an airborne device of the unmanned aerial vehicle, storing and managing the information, and opening a capturing service and a retrieving service of the night fishing personnel information to the AI middle platform; the application layer comprises a visualization component and a movable client terminal, the visualization component is used for receiving flight data of the unmanned aerial vehicle equipment acquired by the big data platform, and the movable client terminal is used for generating a work order and receiving fishing identification data acquired by the big data platform. When unmanned aerial vehicle equipment began to open the flight evening, unmanned aerial vehicle machine carried device, remote control system and fleet of aircraft management system can realize that full automatic scheduling of unmanned aerial vehicle, autopilot, shoot video or picture, support 4G/5G network, internet high-speed connection. The fleet management system opens an API interface and transmits the flight data (such as flight data chain, task and hangar state messages) of the unmanned aerial vehicle equipment to a big data platform. The video or the picture that unmanned aerial vehicle airborne device shot is uploaded to the AI middlebox, the AI middlebox receives the video or the picture after, combine the video time point, obtain AI discernment result promptly fishing identification data (night fishing personnel prepare at night or are carrying out illegal fishing's video or picture) through the message queue mechanism, carry fishing identification data to big data platform again, the AI middlebox can send alarm data to remote control system when obtaining fishing identification data, remote control system regulation and control unmanned aerial vehicle airborne device carries out the reputation and drives away, carry out expulsion warning at once or carry out the on-the-spot waiting and remind to carrying out illegal fishing personnel at the ready night fishing, realized the prevention to illegal fishing action at night. While acousto-optic driving away, nearby law enforcement officers can be appointed to operate the ship to a water area where night fishing occurs to drive away, and the situation that the officers ready for night fishing leave is further ensured; or the night fishing personnel who are carrying out illegal fishing catch can be caught, and when the night fishing personnel who are carrying out illegal fishing catch escape due to the reminding of sound and light driving away, the follow-up catching can be caught through the fishing identification data. The remote law enforcement personnel can observe the flight track, the position state and the like of the unmanned aerial vehicle equipment through the visualization component; meanwhile, fishing identification data (videos or pictures of night fishing personnel preparing at night or performing illegal fishing) can be checked through the movable client terminal, and work orders can be downloaded and generated through the movable client terminal, so that manual processing links are effectively reduced. The system, automatic unmanned aerial vehicle equipment acts in real time, can drive away from night fishing personnel by using sound and light in advance of the work order, replaces manual work to automatically generate the work order, greatly shortens the generation period of the work order, realizes timely driving away, is accurate and efficient, and greatly reduces manual processing links. The law enforcement personnel can reach the waters position that the night fishing takes place fast according to unmanned aerial vehicle equipment position after.
The airborne device of unmanned aerial vehicle of this embodiment is including the cloud platform far infrared camera that can zoom, scintillation lamp area, directional public address set and highlight searchlight, and cloud platform far infrared camera, scintillation lamp area, directional public address set and the highlight searchlight that can zoom all realize long-range the calling through remote control system and AI midplatform connection. Once a suspicious ship occurs, the AI middle stage controls the unmanned aerial vehicle to hover in a programmable mode, points to the direction of the ship, pulls the camera lens of the far infrared camera of the variable-focus holder to be close to the suspicious ship, and carries out more precise behavior identification and shooting; the flashing lamp band marks law enforcement roles of the unmanned aerial vehicle, so that the deterrence force is enhanced, the directional sound amplifying device and the searchlight accurately point to the ship and the peripheral position, the preset sound alarm is played for driving away, the deterrence and driving away effects can be enhanced, and the accidental water falling probability caused by the fact that illegal personnel are forced to be driven away by the law enforcement ship and are too confused can be effectively reduced.
The platform layer of the embodiment further comprises an API gateway, the API gateway comprises an application integration module, a message integration module and a data integration module, the application integration module is used for receiving the fishing identification data obtained by the AI central station through inference calculation and transmitting the fishing identification data to the message integration module, the message integration module is used for receiving the fishing identification data obtained by the application integration module, arranging the fishing identification data into a message queue through a message middleware and transmitting the message queue to the data integration module, receiving the alarm data sent by the AI central station and transmitting the alarm data to a remote control system, and the data integration module transmits the received fishing identification data to the big data platform through an ETL tool. An application integration module: receiving fishing identification data, arranging the fishing identification data into a JSON format, and sending the fishing identification data to an application integration module of an API gateway by an AI middle platform in an API mode through an HTTP protocol or an HTTPS protocol; a message integration module: after the application integration module receives the fish stealing identification data, the fish stealing identification data are arranged into a message queue through message middleware service and then sent to the data integration module, the alarm data sent by the AI middlebox are received by the message integration module and then are sent to the remote control system, and the remote control system calls the unmanned aerial vehicle equipment; a data integration module: the data integration module extracts the received fishing identification data to a big data platform through an ETL tool, and the big data platform can form a persistent base table which is stored in an increment mode along with time.
The platform layer of the embodiment further comprises an API gateway, the API gateway comprises an application integration module, a message integration module and a data integration module, the application integration module is used for receiving the fishing identification data obtained by the AI central station through inference calculation and transmitting the fishing identification data to the message integration module, the message integration module is used for receiving the fishing identification data obtained by the application integration module, arranging the fishing identification data into a message queue through a message middleware and transmitting the message queue to the data integration module, receiving the alarm data sent by the AI central station and transmitting the alarm data to a remote control system, and the data integration module transmits the received fishing identification data to the big data platform through an ETL tool. Unmanned aerial vehicle equipment is flying in the air at night, carries the camera and monitors fishing personnel at night above the lake body, and the GIS middlings provide the projected geographical position information in unmanned aerial vehicle equipment place in real time, helps law enforcement personnel to fix a position the scene fast. The big data platform collects and stores flight tracks, position states and the like of the unmanned aerial vehicle equipment.
The big data platform of the embodiment comprises a temporary library, an aggregation library, a central library and a special question library. The large data platform can form a persistent base table which is stored in an increment mode along with time and is placed in the temporary database. The special subject database is a data mart, realizes business logic integration with other subject domain data, draws the data into a wide table, defines a data dimension structure, and supports business logic of user interface visualization. The big data platform will store fishing identification data.
The movable client terminal comprises a leader cockpit APP and a work order generation system which are arranged in the movable client terminal, the leader cockpit APP and the work order generation system are both connected with a big data platform, the leader cockpit APP is used for receiving AI midstation reasoning data to obtain fishing identification data, and the work order generation system is used for receiving flight data of unmanned aerial vehicle equipment acquired by a remote control system. The leading cockpit APP and the work order generation system are connected with the big data platform, and the leading cockpit APP can check fishing identification data (videos or pictures for night fishing personnel to prepare or illegally fish at night) at any time through the fishing identification data stored in the big data platform. Before the driving-away starts, according to the preset event level and the water area position where the night fishing happens, pretreatment can be carried out in time, a detailed work order is generated rapidly and is issued to business systems such as a grid expert, and field law enforcement personnel can carry out the following steps according to the work order information: such as the longitude and latitude of the fish catching place, the ship range, the number of personnel, the real-time geographic position and the like, and planning the attendance route, police resources and disposal schemes in advance. After the driving-away is completed, law enforcement officers can download the work order in the work order generation system through the movable client terminal to automatically generate the work order.
The embodiment also comprises an FTP server, wherein the FTP server is connected with the AI middle station and used for storing the AI middle station inference calculation to obtain fishing identification data, and the work order generation system is connected with the FTP server. The AI center can transmit fishing identification data (videos or pictures of night fishing personnel preparing at night or carrying out illegal fishing) to the FTP server for centralized storage; the work order system can access the FTP server through an HTTP protocol, and further can better perform work order preprocessing according to fishing identification data (videos or pictures of night fishing personnel preparing at night or performing illegal fishing).
The unmanned aerial vehicle hangar is used for parking, flying and charging of unmanned aerial vehicle equipment. Unmanned aerial vehicle equipment can park, charge and fly off at the hangar automation.
The above embodiments are merely illustrative of the technical concept and features of the present invention, and the present invention is not limited thereto, and any equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of the present invention.

Claims (8)

1. A system for repelling nocturnal fishing personnel, characterized by: the system comprises a data access alarm layer, a platform layer and an application layer, wherein the data access alarm layer is connected with the platform layer, and the platform layer is connected with the application layer;
the data access alarm layer comprises unmanned aerial vehicle equipment, an unmanned aerial vehicle airborne device used for acousto-optic driving and obtaining night fishing personnel information, a remote control system used for remote calling and a fleet management system used for obtaining flight data of the unmanned aerial vehicle equipment;
the platform layer comprises a video cloud service, an AI middle platform and a big data platform, wherein the video cloud service is used for receiving night fishing personnel information acquired by an airborne device of the unmanned aerial vehicle, storing and managing the information, and opening a grabbing service and a retrieving service of the night fishing personnel information to the AI middle platform;
the application layer comprises a visualization component and a movable client terminal, the visualization component is used for receiving flight data of the unmanned aerial vehicle equipment acquired by the big data platform, and the movable client terminal is used for generating a work order and receiving fishing identification data acquired by the big data platform.
2. A system for repelling nocturnal fishing personnel according to claim 1, characterized in that: the unmanned aerial vehicle machine carries the device and includes cloud platform far infrared camera, scintillation lamp area, directional public address set and the highlight searchlight of zooming, cloud platform far infrared camera, scintillation lamp area, directional public address set and the highlight searchlight of zooming all realize long-range the calling through remote control system and AI midsill connection.
3. A system for repelling nocturnal fishing personnel according to claim 1, characterized in that: the platform layer further comprises an API gateway, the API gateway comprises an application integration module, a message integration module and a data integration module, the application integration module is used for receiving the fishing identification data obtained by the AI central station through reasoning and calculation and transmitting the fishing identification data to the message integration module, the message integration module is used for receiving the fishing identification data obtained by the application integration module, arranging the fishing identification data into a message queue through a message middleware and transmitting the message queue to the data integration module, receiving the alarm data sent by the AI central station and transmitting the alarm data to a remote control system, and the data integration module transmits the received fishing identification data to the big data platform through an ETL tool.
4. A system for repelling nocturnal fishing personnel according to claim 1, characterized in that: the platform layer further comprises a GIS middle station, and the GIS middle station is used for receiving the flight data acquired by the fleet management system and transmitting the flight data to the big data platform.
5. A system for repelling nocturnal fishing personnel according to claim 1, characterized in that: the big data platform comprises a temporary library, an aggregation library, a central library and a special question library.
6. A system for repelling nocturnal fishing personnel according to claim 1, characterized in that: the movable client terminal comprises a leader cockpit APP and a work order generation system which are arranged in the movable client terminal, the leader cockpit APP and the work order generation system are both connected with a big data platform, the leader cockpit APP is used for receiving AI midplatform reasoning data to obtain fishing identification data, and the work order generation system is used for receiving flight data of unmanned aerial vehicle equipment acquired by a remote control system.
7. A system for repelling nocturnal fishing personnel according to claim 6, characterized in that: the system also comprises an FTP server which is connected with the AI middling station and used for storing the AI middling station reasoning calculation to obtain fishing identification data, and the work order generation system is connected with the FTP server.
8. A system for repelling nocturnal fishing personnel according to claim 1, characterized in that: still include the unmanned aerial vehicle hangar, the unmanned aerial vehicle hangar is used for parking, letting fly and charging of unmanned aerial vehicle equipment.
CN202011394955.1A 2020-12-03 2020-12-03 System for driving away night fishing personnel Pending CN112562241A (en)

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CN202011394955.1A CN112562241A (en) 2020-12-03 2020-12-03 System for driving away night fishing personnel

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Application publication date: 20210326