CN114898594A - General sensing calculation control integrated intelligent light boat control system capable of carrying unmanned aerial vehicle - Google Patents
General sensing calculation control integrated intelligent light boat control system capable of carrying unmanned aerial vehicle Download PDFInfo
- Publication number
- CN114898594A CN114898594A CN202210431266.6A CN202210431266A CN114898594A CN 114898594 A CN114898594 A CN 114898594A CN 202210431266 A CN202210431266 A CN 202210431266A CN 114898594 A CN114898594 A CN 114898594A
- Authority
- CN
- China
- Prior art keywords
- ship
- unmanned aerial
- aerial vehicle
- information
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G3/00—Traffic control systems for marine craft
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Ocean & Marine Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a general sensing, calculation and control integrated intelligent light ship control system capable of carrying an unmanned aerial vehicle, which comprises: the system comprises a plurality of unmanned aerial vehicles and a hydrological and weather information acquisition module for acquiring marine hydrological information and weather information around a light ship; the Beidou positioning module I is used for acquiring the position information of the lamp ship; the Beidou communication satellite module is used for transmitting information of ships in the sea area where the unmanned aerial vehicle and the lamp ship are located; the unmanned aerial vehicle comprises a video acquisition module for carrying out video shooting on ship navigation information of a sea area where the lamp ship is located and a Beidou positioning module II for acquiring position information of the unmanned aerial vehicle; a plurality of unmanned aerial vehicle each other believe carries out information transfer, and the video information who passes through communication module with risk information or have taken place the accident by the nearest unmanned aerial vehicle of bank base management center sends to the bank base management center apart from, and it is single to have avoided lamp ship system communication mode in the past, and the problem of communication inefficiency makes the contact between user and device, device and the device convenient at a high speed more, has practiced thrift the communication cost greatly.
Description
Technical Field
The invention belongs to the field of full-automatic products, and relates to a general sensing calculation control integrated intelligent light ship control system capable of carrying an unmanned aerial vehicle.
Background
At present, the current research situation of a light boat is mainly that a maritime light system based on a certain communication network is not combined with an unmanned aerial vehicle, and the light boat is a special buoy which is shaped like a boat and can emit light. The anchor is generally anchored at an important and wide river entrance or an important navigation section to guide ships to enter and exit ports or turn. The hull is typically painted red with a conspicuous name or number on both sides. The light-emitting equipment is arranged at the high position of the deck; the lamp is generally arranged on the balancing stand, so that the ship body still horizontally emits light when swinging; the light range is far. Some are equipped with sound or fog equipment. The research current situation of the existing lamp ship is mainly non-intelligent, only provides the function of light navigation aid for the passing ship, and does not combine with the current science and technology and unmanned equipment.
At present, the offshore intelligent light ship system mainly sends collected data to a server for processing and analysis. The information processing scheme has two obvious defects, namely, because long-distance information transportation is needed, most light ships are arranged near a shoal far away from the offshore side, the information transmission is delayed greatly, and particularly, if the weather environment is severe, the data transmission delay is very obvious, and good service can not be provided for the passing ships; secondly, because various information is numerous and complex, a great processing burden is caused by using a server or cloud computing.
Disclosure of Invention
In order to solve the problems, the invention provides the technical scheme that: the utility model provides a can carry on unmanned aerial vehicle's general sense calculation accuse integration intelligence light ship control system, includes: a plurality of unmanned aerial vehicles,
The hydrologic and weather information acquisition module is used for acquiring marine hydrologic information and weather information around the light ship;
the Beidou positioning module I is used for acquiring the position information of the lamp ship;
the Beidou communication satellite module is used for carrying out information transmission on the unmanned aerial vehicle and the ship in the sea area where the lamp ship is located;
the unmanned aerial vehicle comprises a video acquisition module for carrying out video shooting on ship navigation information of the sea area where the lamp ship is located,
The Beidou positioning module II is used for acquiring the position information of the unmanned aerial vehicle;
the communication module is used for information transmission between the unmanned aerial vehicle and between the unmanned aerial vehicle and shore-based management;
the edge calculation module is used for receiving marine hydrological information and weather information around the lightboat transmitted by the hydrological and weather information acquisition device, position information of ships around the lightboat transmitted by the Beidou positioning module I and ship navigation information video transmitted by the video acquisition module; the edge calculation module determines the actual position information of a navigation ship in the sea area where the lamp ship is located, compares the actual position information with an ocean depth map, judges whether the navigation ship has an operation risk or not, and transmits the risk information to the communication module of the unmanned aerial vehicle through the Beidou communication satellite module when the navigation ship has the operation risk; and the unmanned planes closest to the shore-based management center transmit risk information or video information of accidents to the shore-based management center through the communication module.
Further: the edge calculation module determines the actual position information of a navigation ship in the sea area where the lamp ship is located, the distance and the direction between the ship and the unmanned aerial vehicle are obtained through an image recognition algorithm, a linear regression algorithm and a neural network algorithm, the accurate position of the passing ship is determined through the longitude and latitude of the unmanned aerial vehicle, and the accurate position is compared with an ocean depth map to judge whether the navigation ship runs at risk or not.
Further, the method comprises the following steps: the communication module comprises a 4G/5G communication submodule and a Lora/Zigbee communication submodule.
Further: the operational risk includes a stranding risk and a collision risk.
Further: the control system further comprises a wireless charging platform for charging the unmanned aerial vehicle.
Further, the method comprises the following steps: the control system also comprises a fault detection circuit for monitoring the running state of the intelligent light ship system in real time.
The unmanned aerial vehicle arranged in the intelligent light ship system can not only solve the problem of long distance with a shore-based control center, but also integrate data processing and calculation by an edge calculation module carried on the intelligent light ship, and send the calculation result, thereby greatly reducing the problem of numerous and complex information, and solving the problems in the prior art;
the invention provides a general sensing calculation control integrated intelligent light ship control system capable of carrying an unmanned aerial vehicle, which has the following advantages:
(1) the system can automatically provide lamplight pilotage and warning for passing ships according to hydrology and weather changes. And this intelligence light ship can be on the basis of edge calculation, and the video information of real-time weather and hydrology information, danger point that will relevant sensor perception is passed to past ship through unmanned aerial vehicle relay communication, provides the aided decision of relevant navigation for past ship. When intelligence lamp ship or the unmanned aerial vehicle that carries on broke down, can acquire real-time position, be convenient for maintenance and management through big dipper satellite navigation system. The invention can realize the intellectualization, management and networking of the marine vessel navigation system under certain conditions.
Meanwhile, the invention breaks through the single wireless communication mode between the conventional perceptron and the target object, transfers the environmental information while communicating with the target, realizes the integrated application of the general sensing, calculation and control of the maritime light boat system, and leads the wireless communication among the light boat, the satellite, the unmanned aerial vehicle and the user to be more convenient and the information interaction to be more free and smooth.
(2) By adopting the Beidou satellite communication system and the Lora/Zigbee communication system, the situation that the 4G/5G communication network cannot be applied at sea is avoided.
(3) By adopting an edge computing mode, the data processing center is moved down to the unmanned aerial vehicle relay computing end of the data through edge computing, so that the problem that a server and cloud computing are heavily stressed by numerous data processing can be avoided.
(4) By adopting the edge calculation mode, a large amount of data is directly processed at the relay calculation end of the unmanned aerial vehicle through the edge calculation, so that the time delay generated when the data is sent to a server or a cloud end is reduced, and the efficiency of the whole system is improved.
(5) The system embeds artificial intelligence algorithms in such a way as to move down the processing and computation of the entire data to the data collection site, i.e., edge computation. In this way, various erroneous offshore data are filtered, and a large amount of data at sea is processed and analyzed. The intelligent light ship equipment embedded with the artificial intelligence algorithm can accurately analyze the weather and hydrological change information of the water area and then generate a channel flow field situation perception map of the relevant water area. Moreover, the marine intelligent lamp ship equipment can mutually share the information of each water area through networking, and calculate unmanned aerial vehicle allocation tasks for each edge through the embedded artificial intelligence algorithm, and complete the real-time analysis of hydrology and weather of the whole navigation water area, thereby providing navigation aid decision for ship navigation.
(6) The system transmits the relevant necessary information among all nodes or between the system and the peripheral ships, carries the environmental information sensed by various sensors, is convenient for reasonably configuring the position and channel information of the unmanned aerial vehicle in the communication process, realizes the application of the communication computing and controlling integration in the field of marine communication, adopts the idea of the communication computing and controlling integration, and avoids the problems of single communication mode and low communication efficiency of the prior light ship system. The communication between users and devices and between devices is more rapid and convenient, and the communication cost is greatly saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a diagram of the apparatus structure of an intelligent light boat system;
FIG. 2 is a diagram of the offshore network architecture of the intelligent light boat system;
FIG. 3 is a diagram of an edge computing work architecture for an intelligent light boat system;
fig. 4 is a flowchart of the procedure of the intelligent light boat system.
Reference numerals are as follows: 1. unmanned aerial vehicle, 2, hydrological and weather information acquisition module, 3, Beidou positioning module I, 4, communication module, 5, edge calculation module, 101, solar charging module, 102, wind power generation module, 103, battery module, 104, temperature and humidity sensor module, 105, illumination sensor module, 106, water depth sensor module, 107, wind direction sensor module, 108, wind speed sensor module, 109, flow sensor module, 110, big dipper orientation module, 111, lamp ship lamp ware module II, 112, radar acquisition module, 113, video acquisition module, 114, the wireless platform module that charges of unmanned aerial vehicle, 115, six rotor unmanned aerial vehicle bodies, 116, the MCU module, 117, the accumulator, 118, light control module, 119, the fault detection circuit, 120, big dipper satellite communication module, 121, 4G 5G sub communication module, 122, Lora Zigbee sub communication module.
Detailed Description
It should be noted that, in the case of conflict, the embodiments and features of the embodiments of the present invention may be combined with each other, and the present invention will be described in detail with reference to the accompanying drawings and embodiments.
In order to make the objects, 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 with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. Any specific values in all examples shown and discussed herein are to be construed as exemplary only and not as limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be discussed further in subsequent figures.
In the description of the present invention, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the absence of any contrary indication, these directional terms are not intended to indicate and imply that the device or element so referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore should not be considered as limiting the scope of the present invention: the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … … surface," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of the present invention should not be construed as being limited.
FIG. 1 is a block diagram of an intelligent light boat system;
FIG. 2 is a diagram of the offshore network architecture of the intelligent light boat system;
the utility model provides a can carry on unmanned aerial vehicle's general sensing calculation accuse integration intelligence lamp ship control system, includes: the system comprises a plurality of unmanned aerial vehicles 1, a hydrological and weather information acquisition module 2, a Beidou positioning module I3, a battery module 103, a Beidou communication satellite module 120, an edge calculation module 5, a lamp ship lamp module 111, a radar acquisition module 112, a fault detection circuit 119 and a light control module 118;
the hydrological and weather information acquisition module 2 acquires marine hydrological information and weather information around the light ship;
the hydrological and weather information acquisition module 2 comprises a temperature and humidity sensor module 104, an illumination sensor module 105, a water depth sensor module 106, a wind direction sensor module 107, a wind speed sensor module 108 and a flow velocity sensor module 109;
the temperature and humidity sensor 104 acquires information of sea temperature and air humidity;
the illumination sensor 105 collects marine illumination information;
the wind direction sensor 107 collects wind direction information at sea;
the wind speed sensor 108 collects offshore wind speed information;
the water depth sensor 106 collects water depth information;
the flow velocity sensor 109 collects the seawater flow velocity information;
the Beidou positioning module I3 acquires position information of the lamp ship;
the Beidou communication satellite module 120 is used for information transmission of the unmanned aerial vehicle and the ship in the sea area where the lightboat is located; the GPS communication satellite module can also be adopted to transmit information of the unmanned aerial vehicle and the ship in the sea area where the lamp ship is located;
the battery module 103 supplies power to the whole system through the solar charging module 101 and the wind power generation module 102, and can be used in a severe environment with a voltage conversion module therein to provide accurate voltage for each module of the system;
the solar charging module 101 collects light energy and converts the light energy into electric energy; collecting wind energy through the wind power generation module 102, and converting the wind energy into electric energy;
the lamp vessel lamp 111 can realize the light effect of the traditional lamp vessel;
the radar acquisition module 112 can monitor the surrounding sea area and draw an image under the condition of low visibility or weak light;
the light control module 118 can control the light on the light boat to provide light navigation for marine navigation;
the fault detection circuit 119 can monitor the running state of the intelligent light ship system in real time;
the unmanned aerial vehicle 1 comprises a six-rotor unmanned aerial vehicle body 115, an unmanned aerial vehicle charging platform 114, a Beidou positioning module II110 and a communication module 4;
the unmanned aerial vehicle charging platform 114 can charge the unmanned aerial vehicle body 115;
the video acquisition module 113 performs video shooting on ship navigation information of a sea area where the lamp ship is located;
the Beidou positioning module II110 acquires the position information of the unmanned aerial vehicle;
the communication module 4 is used for information transmission between the unmanned aerial vehicle and between the unmanned aerial vehicle and shore-based management;
the communication module 4 comprises a 4G/5G communication module 121 and a Lora/Zigbee communication module 122; the processed data can be processed, and the processed data comprises environmental data collected by a sensor carried on a light ship and accurate longitude and latitude data of a passing ship analyzed through an algorithm. Sending the data to a shore-based command center; the Beidou satellite communication module 120 and the 4G/5G communication module 121 are adopted to send the data processed by the edge computing module 5 to the server, so that the problem that the 4G/5G communication module cannot be well used in the maritime communication environment is solved.
The Lora/Zigbee communication module 122 networks the intelligent light boat and the unmanned aerial vehicle, and collects data of each sensor in real time;
the six-rotor unmanned aerial vehicle body 115 can be landed on an unmanned aerial vehicle charging platform 114 deployed on an intelligent light ship, take off when needed and is responsible for relay communication tasks;
the edge calculation module 5 receives the marine hydrological information and the weather information around the lightboat transmitted by the hydrological and weather information acquisition module 1, the lightboat position information transmitted by the Beidou positioning module I3 and the ship navigation information video transmitted by the video acquisition module 113; the edge calculation module 5 determines the actual position information of the sailing ship in the sea area where the lamp ship is located, compares the sea depth map, and judges whether the sailing ship has an operation risk, and when the sailing ship has the operation risk, the edge calculation module 5 transmits the risk information to the communication module 4 of the unmanned aerial vehicle through the Beidou communication satellite module 120; the unmanned aerial vehicles carry out information transmission with each other, and the unmanned aerial vehicle closest to a shore-based management center transmits risk information or video information of an accident to the shore-based management center through the communication module 4;
the edge calculation module 5 comprises an MCU module 116 and a memory 117;
the MCU module 116 performs edge calculation; the passing ship pictures returned by the unmanned aerial vehicle are transmitted into the MCU module, edge calculation is carried out according to an image recognition algorithm, a linear regression algorithm and a neural network algorithm, and the distance and the direction between the ship and the unmanned aerial vehicle can be calculated. And determining the accurate position of the passing ship through the longitude and latitude of the unmanned aerial vehicle, and comparing the accurate position with the ocean depth map to judge whether the sailing ship has an operation risk or not.
The storage 117 stores and sorts the acquired data, including the environmental data acquired by the sensor carried on the light ship and the accurate longitude and latitude data of the passing ship analyzed by the algorithm;
embedding the rationalization distribution algorithm of task in this edge calculation module 5, realize the intelligent distribution of task, more efficient management data and real-time analysis data, the final result of will handling the completion is sent to bank base command center and past boats and ships respectively through GPS big dipper satellite communication module 120 and 4G 5G communication module 121, accessible unmanned aerial vehicle increases communication distance and shortens communication time, this edge calculation module 5 is mainly for alleviating the calculation pressure of server and cloud calculation, put the data collection end through the center with calculating and handling data down.
The artificial intelligence algorithm can analyze the changes of the hydrology and the weather of the water area in real time according to the changes of the hydrology and the weather of the water area, can predict the changes of the weather and the hydrology in a period of time in the future and generate a channel situation perception map of the relevant water area, thereby providing navigation aid decision for the navigation of the marine ship; the intelligent light boat embedded with the artificial intelligence algorithm can distribute computing resources with surrounding unmanned aerial vehicles according to the computing capability of the intelligent light boat, so that better overall computing capability is achieved. Moreover, the mesh networking through Lora/Zigbee between intelligent light ship based on edge calculation and the unmanned aerial vehicle equipment can realize exchanging and joint analysis between important hydrology, weather data, not only can reduce the problem that important data revealed when uploading to the high in the clouds to cloud's dependence can also be avoided to cloud calculation. Through the edge computing mode for shifting down the data processing capacity, the pressure on the cloud end caused by data processing of the cloud end can be avoided, the safety of the data cloud can be improved, unnecessary time delay generated in the data cloud process is reduced, and a reliable technical means is provided for marine navigation.
The system mainly divides the whole intelligent light boat into two types, one type belongs to the intelligent light boat and is a gateway part of the whole system, the other type belongs to the unmanned aerial vehicle part and is a node part of the whole system, the main difference between the node part and the gateway part is that the gateway part is a data gathering center of surrounding node parts, and the intelligent light boat of the gateway part integrates a Beidou satellite communication module 120 and a 4G/5G communication module 121. The working mode of the whole system is that the unmanned aerial vehicle of the node collects some information from passing ships, the node sends the collected information to the gateway through the Lora/Zigbee communication module 122, and the gateway sends the data to the MCU module for processing and analysis. On the other hand, the gateway can also arrange and map the collected hydrological information, and then send the information to the past shore-based management center through the edge calculation of the unmanned aerial vehicle node (the data acquisition and the image acquisition of the unmanned aerial vehicle are sent to the edge calculation module for edge calculation).
The induction calculation control integrated intelligent light ship control system capable of carrying the unmanned aerial vehicle is installed on a traditional marine light ship;
the offshore data acquisition network and communication network mainly comprise an intelligent light ship and unmanned aerial vehicle equipment based on edge calculation, various ships carrying the Lora/Zigbee communication module 122, and an onshore backbone network provided with a satellite communication terminal. When the intelligent light ship equipment is started to operate, a host on the intelligent light ship can work for the unmanned aerial vehicle according to the task amount to be processed, the unmanned aerial vehicle can hover to an appointed position after receiving a take-off instruction and performs unmanned aerial vehicle relay communication service for passing ships, networking is completed through the Lora/Zigbee communication module 122, and each unmanned aerial vehicle node and the intelligent light ship equipment acquire data information of the position of the unmanned aerial vehicle node. And then, the data are collected by the intelligent light ship equipment arranged on the intelligent light ship, weather and hydrological information is processed and formed through an artificial intelligence algorithm and is analyzed in real time, accurate weather and hydrological information is obtained, and a channel flow field situation perception map of a relevant water area can be further processed and formed, so that navigation aid decision can be provided for navigation of a marine ship. The MCU module 116 analyzes the hydrological and weather information to determine whether a certain threshold is reached, so as to control the lighting control module 118 in real time. Big dipper satellite positioning module 110 location lamp ship and shipborne unmanned aerial vehicle's position, intelligent lamp ship equipment distributes all hydrology, weather, positional information to near unmanned aerial vehicle of deployment through Lora Zigbee module 122, through edge calculation back, through the nearest unmanned aerial vehicle of offshore basic tube center, sends calculation information for bank base management center or past boats and ships. The shore-based management center checks hydrology, weather and position information of the channel through the upper computer. If bank basic management center wants to control intelligent lamp ship or certain unmanned aerial vehicle, also can send control information through GPS big dipper satellite communication module.
FIG. 3 is a diagram of an edge computing work architecture for an intelligent light vessel system; the architecture of the edge computing module 5 of this invention is shown in block diagram. The edge computing module 5 is mainly divided into 5 basic architectures, namely a data acquisition sub-module, a data processing sub-module, a computing unloading sub-module, a service management sub-module and a communication resource management sub-module.
In the data acquisition submodule, various information of temperature, illumination, humidity, wind direction, wind speed, water depth and flow speed from the water area of a surrounding channel is mainly collected through various sensor modules and then processed into hydrology and weather information of the water area.
In the data processing sub-module, changes of hydrology and weather in a future period of time are predicted mainly through a trained artificial algorithm, and the information is transmitted to a shore-based command center or transmitted to surrounding passing ships through other communication modules.
And the management, distribution and calculation of tasks in the whole channel are mainly decided by using a storage resource management algorithm and a calculation resource management algorithm in the calculation unloading submodule together with other peripheral edge calculation modules of the peripheral edge.
The service management submodule is mainly used for managing each task which needs to be executed by the intelligent light boat, so that the tasks in the whole intelligent light boat are orderly carried out, and can be scheduled when other equipment needs a certain task or multiple tasks, and the normal operation of the whole intelligent light boat is ensured.
The utilization of wireless resources is mainly managed in the communication resource management submodule, and because marine communication resources are scarce, when data is transmitted, reasonable application of various communication resources is ensured as much as possible, so that the maximum transmission rate can be ensured.
Fig. 4 is a flowchart of a program of the intelligent light ship system, and the specific program of the invention is as follows:
the method comprises the following steps: and initializing the whole intelligent light ship system, distributing hardware resources for each module in the part, and initializing each communication interface so as to facilitate subsequent data collection and data communication.
Step two: the intelligent light boat system can distribute the take-off action of the unmanned aerial vehicle according to the task amount to be processed. The unmanned aerial vehicle carries out unmanned aerial vehicle's communication relay task after flying to the appointed area, and the information carries out the edge calculation after sending to intelligent lamp ship through unmanned aerial vehicle relay.
Step three: temperature, humidity, illumination, wind direction, wind speed, depth of water, velocity of flow sensor module data information collection, unmanned aerial vehicle fly to the appointed area and communicate relay work, and on-board unmanned aerial vehicle positional information is gathered to big dipper satellite positioning module 110, and fault detection circuit gathers the trouble, later with all these information gather in the middle of edge calculation module 5.
Step IV: the edge calculation module 5 is composed of an MCU module 116 and a memory 117, and converts the information from the illumination, temperature, humidity, wind direction, wind speed, water depth, voltage collected by the flow sensor or other physical types into actual weather or hydrological information such as illumination, temperature, humidity, wind direction, wind speed, water depth, flow speed, etc. And then, hydrological and weather information and change information of the water area are processed and analyzed in real time by embedding an artificial intelligence algorithm, and hydrological and weather data of the whole sailing water area are analyzed by the artificial intelligence algorithm. In addition, big dipper satellite positioning module 120 pinpoints the position information of intelligent lamp ship and on-board unmanned aerial vehicle. And finally, all hydrological, weather and position information is stored in a memory and waits for the next operation.
Step five: the MCU module 116 controls the light control module 118 by determining whether the information such as hydrology and weather meets a predetermined threshold. Such as: if the user enters the night, the light is turned on for illumination; if the weather is not favorable for navigation, etc., the light alarm is sent.
Step (c): unmanned aerial vehicle equipment that every intelligence lamp ship carried on detects whether have the ship to pass through in self communication range, if have ship to pass through around the intelligence lamp ship, the various data information of saving send for the ship through the ad hoc network that ship, intelligence lamp ship and shipborne unmanned aerial vehicle constitute. If no ship passes, the data is temporarily saved to memory for subsequent use.
Step (c): whether intelligent lamp ship equipment detects has unmanned aerial vehicle to need to return a journey, if when unmanned aerial vehicle electric quantity in the work is not enough or other reasons can't continue the during operation, the unmanned aerial vehicle can be sent out to the system and the replacement is carried out, the unmanned aerial vehicle that the electric quantity is not enough moves back a journey, when the discovery has unmanned aerial vehicle that can't work, can send out information and wait for the staff to come the maintenance to the bank basic station, the procedure through system's embedding realizes, make corresponding action when data reach the threshold value that sets for.
Step (v): fault information and physical information are continuously collected by the fault detection circuit 119 and each sensor in the intelligent light ship, changes of the data are monitored and analyzed in real time, fault information of the system can be timely predicted through changes of the data, and the data are timely sent to a shore-based management center through the Beidou satellite communication module to be subjected to fault reporting.
Ninthly: and then, the standard data such as illumination, temperature, humidity, wind direction, wind speed, water depth, flow speed and geographical position stored in the memory 117 are directly transmitted to the shore-based management center in the form of short messages through the Beidou satellite communication module 120, and the shore-based management center directly displays the information of hydrology, weather and geographical position on the electronic chart through an upper computer.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. The utility model provides a can carry on unmanned aerial vehicle's general sense calculation accuse integration intelligent light ship control system which characterized in that: the method comprises the following steps: a plurality of unmanned aerial vehicles,
The hydrologic and weather information acquisition module is used for acquiring marine hydrologic information and weather information around the light ship;
the Beidou positioning module I is used for acquiring the position information of the lamp ship;
the Beidou communication satellite module is used for transmitting information of ships in the sea area where the unmanned aerial vehicle and the lamp ship are located;
the unmanned aerial vehicle comprises a video acquisition module for carrying out video shooting on ship navigation information of the sea area where the lamp ship is located,
The Beidou positioning module II is used for acquiring the position information of the unmanned aerial vehicle;
the communication module is used for information transmission between the unmanned aerial vehicles and shore-based management;
the edge calculation module is used for receiving marine hydrological information and weather information around the lightboat transmitted by the hydrological and weather information acquisition device, position information of ships around the lightboat transmitted by the Beidou positioning module I and ship navigation information video transmitted by the video acquisition module; the edge calculation module determines the actual position information of a navigation ship in the sea area where the lamp ship is located, compares the actual position information with an ocean depth map, judges whether the navigation ship has an operation risk or not, and transmits the risk information to the communication module of the unmanned aerial vehicle through the Beidou communication satellite module when the navigation ship has the operation risk; and the unmanned aerial vehicles mutually trust to carry out information transmission, and the unmanned aerial vehicle closest to the shore-based management center transmits risk information or video information of an accident to the shore-based management center through the communication module.
2. The intelligent light ship control system capable of carrying the unmanned aerial vehicle and integrating induction, calculation and control is characterized in that: the edge calculation module determines the actual position information of a navigation ship in the sea area where the lamp ship is located, the distance and the direction between the ship and the unmanned aerial vehicle are obtained through an image recognition algorithm, a linear regression algorithm and a neural network algorithm, the accurate position of the passing ship is determined through the longitude and latitude of the unmanned aerial vehicle, and the accurate position is compared with an ocean depth map to judge whether the navigation ship runs at risk or not.
3. The intelligent light ship control system capable of carrying the unmanned aerial vehicle and integrating induction, calculation and control is characterized in that: the communication module comprises a 4G/5G communication submodule and a Lora/Zigbee communication submodule.
4. The intelligent light ship control system capable of carrying the unmanned aerial vehicle and integrating induction, calculation and control is characterized in that: the operational risk includes a stranding risk and a collision risk.
5. The intelligent light ship control system capable of carrying the unmanned aerial vehicle and integrating induction, calculation and control is characterized in that: the control system further comprises a wireless charging platform for charging the unmanned aerial vehicle.
6. The intelligent light ship control system capable of carrying the unmanned aerial vehicle and integrating induction, calculation and control is characterized in that: the control system also comprises a fault detection circuit for monitoring the running state of the intelligent light ship system in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210431266.6A CN114898594B (en) | 2022-04-22 | 2022-04-22 | Can carry on unmanned aerial vehicle's logical sense calculation accuse integrated intelligent lamp ship control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210431266.6A CN114898594B (en) | 2022-04-22 | 2022-04-22 | Can carry on unmanned aerial vehicle's logical sense calculation accuse integrated intelligent lamp ship control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114898594A true CN114898594A (en) | 2022-08-12 |
| CN114898594B CN114898594B (en) | 2023-05-12 |
Family
ID=82717153
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210431266.6A Active CN114898594B (en) | 2022-04-22 | 2022-04-22 | Can carry on unmanned aerial vehicle's logical sense calculation accuse integrated intelligent lamp ship control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114898594B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118071842A (en) * | 2024-04-24 | 2024-05-24 | 山东科技大学 | Ship identity recognition system based on camera calibration and deep learning algorithm |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2817631A1 (en) * | 2000-12-05 | 2002-06-07 | Philippe Waquet | Remote control for aerial reconnaissance drone has section mounted in drone with computer and mobile telephone connection |
| FR2875913A1 (en) * | 2004-09-29 | 2006-03-31 | Sea On Line Sa | ANTI-COLLISION ALARM SYSTEM INSTALLED ON A MARINE VEHICLE AND ANTI-COLLISION ANALYSIS METHOD |
| CN107450568A (en) * | 2017-09-25 | 2017-12-08 | 武汉理工大学 | Ship entering and leaving port accessory system under group's unmanned plane collaboration |
| WO2018000748A1 (en) * | 2016-06-28 | 2018-01-04 | 深圳大学 | Maritime navigation rescue system based on beidou satellite |
| CN108366227A (en) * | 2018-01-30 | 2018-08-03 | 上海海事大学 | The application platform of unmanned plane in a kind of maritime affairs intelligence cruise |
| CN111739345A (en) * | 2020-07-21 | 2020-10-02 | 范文峰 | AIS-based intelligent water monitoring and management method and system |
| CN112053591A (en) * | 2020-08-24 | 2020-12-08 | 大连海事大学 | Offshore three-dimensional linkage networking and channel supervision system of unmanned aerial vehicle group cooperative intelligent navigation mark |
| CN112671863A (en) * | 2020-12-15 | 2021-04-16 | 大连海事大学 | Intelligent navigation mark system based on edge calculation |
| CN113342019A (en) * | 2021-06-07 | 2021-09-03 | 海口鑫晟科技有限公司 | Maritime search and rescue method, system, equipment and medium based on unmanned aerial vehicle |
-
2022
- 2022-04-22 CN CN202210431266.6A patent/CN114898594B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2817631A1 (en) * | 2000-12-05 | 2002-06-07 | Philippe Waquet | Remote control for aerial reconnaissance drone has section mounted in drone with computer and mobile telephone connection |
| FR2875913A1 (en) * | 2004-09-29 | 2006-03-31 | Sea On Line Sa | ANTI-COLLISION ALARM SYSTEM INSTALLED ON A MARINE VEHICLE AND ANTI-COLLISION ANALYSIS METHOD |
| WO2018000748A1 (en) * | 2016-06-28 | 2018-01-04 | 深圳大学 | Maritime navigation rescue system based on beidou satellite |
| CN107450568A (en) * | 2017-09-25 | 2017-12-08 | 武汉理工大学 | Ship entering and leaving port accessory system under group's unmanned plane collaboration |
| CN108366227A (en) * | 2018-01-30 | 2018-08-03 | 上海海事大学 | The application platform of unmanned plane in a kind of maritime affairs intelligence cruise |
| CN111739345A (en) * | 2020-07-21 | 2020-10-02 | 范文峰 | AIS-based intelligent water monitoring and management method and system |
| CN112053591A (en) * | 2020-08-24 | 2020-12-08 | 大连海事大学 | Offshore three-dimensional linkage networking and channel supervision system of unmanned aerial vehicle group cooperative intelligent navigation mark |
| CN112671863A (en) * | 2020-12-15 | 2021-04-16 | 大连海事大学 | Intelligent navigation mark system based on edge calculation |
| CN113342019A (en) * | 2021-06-07 | 2021-09-03 | 海口鑫晟科技有限公司 | Maritime search and rescue method, system, equipment and medium based on unmanned aerial vehicle |
Non-Patent Citations (2)
| Title |
|---|
| LING LYU ET AL.: "AoI-Aware Co-Design of Cooperative Transmission and State Estimation for Marine IoT Systems", 《IEEE INTERNET OF THINGS JOURNAL》 * |
| 王志威;郑恭明;: "基于北斗卫星通信的智能航标灯终端物联网遥测遥控***设计", 水运管理 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118071842A (en) * | 2024-04-24 | 2024-05-24 | 山东科技大学 | Ship identity recognition system based on camera calibration and deep learning algorithm |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114898594B (en) | 2023-05-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112053591B (en) | Offshore three-dimensional linkage networking system of unmanned aerial vehicle group cooperative intelligent navigation mark | |
| CN112671863B (en) | Intelligent navigation mark system based on edge calculation | |
| CN107943078A (en) | More rotor dual systems unmanned plane inspection fault diagnosis systems and method | |
| CN108241326A (en) | A kind of intelligent ship system based on Internet of Things | |
| CN203219298U (en) | Unmanned helicopter system special for inspecting electric grid in mountain area | |
| CN103078673A (en) | Special unmanned helicopter system suitable for routing inspection on power grid in mountain area | |
| KR20200017601A (en) | Analysis of illegal activities and monitoring based on recognition using unmanned aerial vehicle and artificial intelligence deep running that can monitor illegal activities in the field farm | |
| CN107014971A (en) | Underwater hiding-machine with efficient charging and remote data transmission function uses buoy base station | |
| KR102129899B1 (en) | Drone containment and method using marine light buoy | |
| CN106878430A (en) | Ship craft integrated management system and its communication means and rescue skills based on cloud framework | |
| CN113009594A (en) | Unattended oceanographic monitoring station | |
| CN110377028A (en) | A kind of unmanned boat method, apparatus, terminal device and storage medium on duty | |
| CN101863528B (en) | Blue-green algae treatment method and system thereof | |
| CN114577183A (en) | Water area monitoring method, system and device based on Internet of things technology | |
| CN117519944A (en) | Unmanned vehicle based on cooperation of computing power perception and edge cloud computing and cooperation method thereof | |
| CN109246641A (en) | A kind of deep-sea fishing breeding water body tour gauging system based on Beidou communication system | |
| CN114898594A (en) | General sensing calculation control integrated intelligent light boat control system capable of carrying unmanned aerial vehicle | |
| CN116578120A (en) | Unmanned aerial vehicle scheduling method and device, unmanned aerial vehicle system and computer equipment | |
| CN116597693A (en) | Inland navigation monitoring system and method | |
| CN110751360A (en) | Unmanned ship region scheduling method | |
| CN201686973U (en) | Blue-green algae processing system | |
| CN114655361B (en) | Intelligent buoy and offshore cruise unmanned aerial vehicle cluster control management system and method | |
| CN208444007U (en) | A kind of removable shoal of fish sonar detection topological structure based on wind, light complementation | |
| CN216351954U (en) | Intelligent control system for small ship | |
| CN213832059U (en) | Data transmission device that intelligent ship used |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |