CN114936944B - Fishery management system based on positioning information and electronic fence - Google Patents
Fishery management system based on positioning information and electronic fence Download PDFInfo
- Publication number
- CN114936944B CN114936944B CN202210383557.2A CN202210383557A CN114936944B CN 114936944 B CN114936944 B CN 114936944B CN 202210383557 A CN202210383557 A CN 202210383557A CN 114936944 B CN114936944 B CN 114936944B
- Authority
- CN
- China
- Prior art keywords
- information
- ship
- electronic fence
- management server
- fishery management
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
-
- 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
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Animal Behavior & Ethology (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Databases & Information Systems (AREA)
- Primary Health Care (AREA)
- Computational Linguistics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Probability & Statistics with Applications (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Mechanical Means For Catching Fish (AREA)
Abstract
The invention relates to fishery management and administration scheduling, in particular to a fishery management system based on positioning information and electronic fence. The utility model provides a fishery management service system based on location information and electronic fence, the system includes, fishery management server and a plurality of shipborne terminal, through setting up key position point, sets up electronic fence region and relay transmission node, has reduced data handling capacity and has provided the characteristic concentration degree based on the washing of the characteristics and the sample data in electronic fence region, and cluster inquiry compares simultaneously, distinguishes false hanging the hull, can learn the operation scope of specific boats and ships accurately, the inquiry of statistical information such as crossing information can realize the accuracy and the reliability to monitoring information.
Description
Technical Field
The invention relates to fishery management and administration scheduling, in particular to a fishery management system based on positioning information and electronic fence.
Background
The utility model provides an intelligent dispatch service of fishery management integration integrated platform, relates to thing networking equipment, operation personnel, operation boats and ships, operation resource and the equal intelligent collaborative dispatch of each associated supervision department. With the increase of the degree of informatization, it is necessary to maintain and manage information of the fishery manager at the time of departure from ports, such as conventional ships.
The existing ships are provided with the identification system and the positioning information, the fishing ships have illegal operations in the aspect of safe operation, and the management efficiency is improved by comprehensively utilizing the identification information and scheduling and managing the information of the information fishing ships in the departure port, so that various information of the ships is prejudged and early warned, the various relevant supervision departments synchronously share full-flow data, law enforcement is facilitated for the departments, the hidden danger of environmental risks is controlled, the refined management and the informatization level are improved, and the method becomes an important aspect of ship management in the departure port.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a fishery management service system based on positioning information and electronic fences, which comprises a fishery management server and a plurality of shipboard terminals, wherein the shipboard terminals select standby relay transmission nodes serving as operation information in the electronic fences according to signal intensity and evaluation;
the shipborne terminal sends the position data information of the shipborne terminal to the fishery management server, and in an emergency, the shipborne terminal transmits and forwards the information according to a relay node in the electronic fence;
the fishery management server collects and stores shipborne operation information, wherein the operation information at least comprises an ID of a ship, classification of the fishing ship, driving information, law enforcement record information and position information of a departure operation.
The fishery management server performs clustering processing on the operation information, plans out area information on the electronic map according to the aggregated information, and marks a plurality of key positions on the electronic map according to the area information.
The fishery management server loads an electronic map, wherein the electronic map comprises geographic position information of each point of a coordinate system; mapping the planned multiple key positions to an electronic map, acquiring the real-time position of the ship, and tracking and monitoring the ship in the electronic map according to the positioning signals of the ship and the set electronic fence information.
Optionally, the fishery management server is further configured to establish an electronic fence area of the key location according to the key location; each key location has location data including a longitude and latitude of the key location.
Optionally, the fishery management server further includes that the clustering specifically includes cleaning the positioning data information, and establishing association relations between the positioning data and different types of parameters, where the association relations at least include a relation between the positioning data and a route path and an adjacent relation between surrounding ships.
Optionally, acquiring operation data information in the electronic fence area, performing data cleaning, classification and clustering, and establishing a multi-class database; and establishing a portrait characteristic database of the corresponding electronic fence according to a data machine learning algorithm in the multi-class database.
Optionally, the machine learning is based on a knowledge graph or a k-means clustering algorithm.
Optionally, the portrait characteristic data in the corresponding electronic fence is ship characteristic information located in the electronic fence area.
Optionally, the shape of the electronic fence area may be rectangular or square, and the electronic fence area is built according to the set position data according to the key position, so as to obtain the electronic fence data of the key position; the ship data information in the electronic fence comprises a data set in a fence area or a fence boundary position data set.
Optionally, when the ship is going to be inquired, performing matching analysis according to time intervals to obtain shipborne end equipment or track data with the occurrence frequency of the corresponding ship in each time interval ordered from high to low; and obtaining possible behavior prediction of the ship through information feature matching in the fishery management server, and sending a reminding message.
The fishery management server further comprises a step of performing information interaction by clicking any ship body on the electronic fence in the map and displaying by popup webpage dialog boxes. In the information interaction in the fishing boat management service platform, the information can be displayed in a thumbnail integrated mode.
The washing of the positioning data information in the clustering information processing specifically comprises the following steps: and (3) performing file arrangement on the collected operation information data and the like of the ship in a preset time period, and performing similarity calculation and clustering processing on sample data in the training sample set after the training sample set is obtained.
According to the scheme, the electronic fence area and the relay node are set through the key position points, the characteristic concentration is provided based on the characteristic of the electronic fence area and the cleaning of sample data, the characteristic concentration is reduced, meanwhile, clustering query comparison is carried out, false hanging ship bodies are distinguished, the query of statistical information such as the operation range of a specific ship and the boundary crossing information can be accurately obtained, and the accuracy and the reliability of monitoring information can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of the system architecture of the present invention.
Fig. 2 is a schematic diagram of a relay on-board terminal communication of the present invention.
Fig. 3 is a statistical trend graph of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the present invention provides a fishery management service system based on positioning information and electronic fencing, which includes a fishery management server and a plurality of on-board terminals. As shown in fig. 2, a standby relay transmission node serving as operation information is selected from a plurality of electronic fences according to signal strength and evaluation in the plurality of shipboard terminals; and the shipborne terminal sends the position data information of the shipborne terminal to the fishery management server, and in an emergency, the shipborne terminal transmits and forwards the information according to the relay node in the electronic fence.
And selecting the on-board terminal with evaluation scores and signals meeting the coverage range of the electronic fence as the relay node according to the statistical trend information. And the relay node starts the short-distance position detection information, actively receives or relays the information of the ship body terminal to be forwarded, and sends the information to the fishery management server. When the warning information forwarded by the fishery management server is received, the relay node transmits a broadcast channel in the range of the electronic fence, triggers the ship adjacent to the warned ship according to the positioning data information in the electronic fence sent by the fishery management server, performs the returning and the transmitting of the photo information, and forwards the photo information to the fishery management server.
The fishery management server collects and stores shipborne operation information, wherein the operation information at least comprises an ID of a ship, classification of the fishing ship, driving information, law enforcement record information and position information of a departure operation.
In the fishery management process, if the ship leaves the electronic fence through the positioning track and does not carry out a port-entering report, the ship does not group related illegal and real illegal operation behaviors such as operation, operation in a sea area and the like, and the system can give an early warning prompt to related supervision departments after the evaluation result is out.
The system realizes 'safe autonomy' through positioning information and 'electronic fence' of the GIS system. The safety autonomous system is characterized in that the management service platform is used for setting and displaying the number of vessels in ports today, the number of vessels out of ports today, the number of offending vessels, the number of blacklist vessels, the number of vessels subjected to law enforcement in the month, the distribution of each section of safety grading and the like. As shown in fig. 3, a manager or an access terminal can check the time-dependent change trend of the number of safety learners and learn card punching records in a manner of accessing details; all the fishing boats, the collecting boat, the transportation boat body, the disposal enterprises, the operation enterprises, the ocean cloud bins and the safety state can be directly displayed on the map, and supervision is realized on the map.
The method comprises the steps that a fishery management server obtains aggregate information of fishery ships, and marks a plurality of key positions on an electronic map according to paths planned by the aggregate information on the electronic map and/or regional information of a fishing ground; the aggregated information may include at least, past path information of the fishing ground, law enforcement records, fishing location information, and the like.
The ship fishery management server loads an electronic map, wherein the electronic map comprises geographic position information of each point of a coordinate system; mapping the planned plurality of key positions to an electronic map, and marking the plurality of key positions on the electronic map. The fishery management server or the management service platform maps the key positions to the electronic map, so that the ship can be conveniently tracked and monitored in the electronic map according to the positioning signals of the ship and the electronic fence information. Establishing an electronic fence area of the key position according to the key position; each key location has location data including a longitude and latitude of the key location.
The electronic fence area can be understood as an area of the key position in the electronic map, and optionally, according to planned path information, the operation information in the fence can be location data LBS data, and clustering processing is performed on the location related data.
The clustering information processing specifically comprises the steps of cleaning positioning data information, establishing association relations between positioning data and different types of parameters, relations between positioning data and a route path, adjacent relations of peripheral ships, preset relations of peripheral electronic fences and the like. The LBS data in the electronic fence area are obtained, and the LBS data are cleaned, classified, clustered and a multi-class LBS database is built; and establishing an LBS portrait characteristic database according to the deep integration and machine learning of the LBS data in the multi-class LBS database. Wherein the LBS portrait characteristic database belongs to the multi-class LBS database; the portrait characteristic of the positioning data in the electronic fence is ship characteristic information in the electronic fence area. And the server equipment sets different electronic fence label information for different electronic fences according to the ship information of different time periods.
Alternative machine learning algorithms may be based on knowledge-graph or k-means clustering algorithms. And carrying out deep mining analysis on the LBS portrait characteristic database to obtain the portrait characteristics of the ship in the electronic fence area, and sensing and identifying the portrait characteristics of the ship.
The shape of the electronic fence area can be rectangle, square and the like. Acquiring position data of each key position, and establishing an electronic fence area of the key position according to the position data of the key position to obtain ship operation data and the like in the electronic fence of the key position; the electronic fence data includes a data set within a fence area or a fence boundary position data set.
Optionally, the trip data in the cluster information of the related ships comprises time, ship number, ship body type, GPS position information and the like; the fishery management server automatically updates the electronic fence information periodically, and optionally, in the fishery operation process, the gathering area of the fishing group is affected by ocean currents and the like, the fishery management server sets a time tag, clustering analysis is carried out on ship information data of a certain period of time in a clustering mode to form a plurality of electronic fence area information with different characteristics, clustering center points in a required area are used as key points or key position points, different area position information is set, the number of ship information in the area range is obtained, and the number of the ship information is used as a setting basis of the key points, so that new area information can be constructed or increased.
The washing of the positioning data information in the clustering information processing specifically comprises the following steps: and (3) performing file arrangement on collected operation information and the like of the ship in a certain time period, wherein the operation information comprises GPS positioning information data, and after the training sample set is obtained, performing similarity calculation and clustering processing on sample data in the training sample set, and performing sample purification to obtain a cluster center sample. The sample purification comprises the following specific steps:
step 1, randomly selecting a cluster center with a sample marked as a cluster from a training sample set;
step 2, selecting a sample from the rest samples in the training sample set as a newly added sample;
step 3, adopting a distance formula based on cosine included angle (calculating the similarity between the newly added sample and each sample marked as a cluster center,
in the expression Cos (Xi, xj) = (Xi, xj)/(|xi|×|xj|), xi and Xj are vector representations corresponding to the sample i and the sample j, respectively.
If the calculated similarities are smaller than a preset threshold value, a new cluster is built by taking the newly added sample as a center; otherwise, adding the newly added sample into the cluster with the highest similarity, and recalculating the cluster center of the cluster;
repeating the steps 2 to 3 until the samples in the training sample set are processed to obtain a plurality of clusters, and selecting the samples corresponding to the cluster centers of the clusters as cluster center samples; through the sample purification, samples with larger similarity in the category are reduced, and the accuracy of the subsequent clustering features is improved.
Preferably, the cleaned information of the positioning data class can be stored in an HDFS file system, parallel execution of a Canopy algorithm in a first stage is executed by Hadoop, the information is output in a file form, clustering center points in the file are subjected to visualized filtering of isolated points in an electronic map, the processed file is stored in the HDFS file system, the processed file is subjected to clustering processing by a K-means algorithm in a next stage of Hadoop, and the processed file is output, so that characteristic values in different electronic fences are obtained.
Optionally, determining the management of the ship comprises determining a ship going-out data screening rule, wherein the ship going-out screening rule is used for distinguishing ship characteristics in different electronic fences, performing matching analysis on the characteristic data according to the ship and front-end equipment acquisition data in a fishery management server, screening out the latest front-end shipborne monitoring equipment acquisition data of the ship, and performing matching analysis on ship track data in a large data platform according to the characteristic data in different electronic fences, so as to screen out nearest position information of the ship and management information of key points of corresponding electronic fences; obtaining information or track data of key position points of the electronic fence, which have the highest occurrence frequency of the ship; the management information can be used when the relay node receives auxiliary information for transmission or monitoring.
When the fishery management server inquires about ship positions, the fishery management server further comprises matching analysis according to time intervals, and front-end equipment or track data with the frequency of occurrence of the corresponding ship from high to low in each time interval is obtained. And obtaining possible behavior prediction of the ship through information feature matching in the fishery management server, so as to send corresponding reminding information.
Optionally, the data query and tag classification of the ship in the fishery management server of the fishing vessel can be used for screening all units participating in pollution treatment according to fishing vessels, collecting vessels, transporting vessels, disposal enterprises, operation enterprises, ocean cloud bins and operation fishing vessel types (net stab/drift, fishing tackle, net dressing/ship dressing, trawl/single vessel truss pole/double vessels, purse net/single vessel, net stretching/single pile/double anchor/double pile). Corresponding information in the fishery management server can be used for checking names, contacts, places and safety states through terminal orientations or icons triggering thumbnail images.
The fishing boat management service platform is used for displaying the number of the ships entering and leaving the harbors, and can check the number of the ships in the harbors and the number of the ships leaving the harbors in real time according to the positioning data information, and the ships in the harbors and leaving the harbors are dynamically displayed on the safety autonomous page of the cockpit in real time. The fishery management server of the fishing boat can also inquire the combination condition of the boat, select the inquiry condition (the name of the enterprise, the state of the boat, the supervision area, the household register of the boat and the operating range), click the monitoring button, display the inquiry result on the map, display the statistical result in a list, put the mouse on the boat body, and display the basic information of the number of the fishing boat, the color of the boat body, the speed, the direction, the operator, the monitoring time and the like.
The fishery management server further comprises a step of performing information interaction by clicking any ship body on the electronic fence in the map and displaying by popup webpage dialog boxes. The information interaction in the fishing boat management service platform can be displayed in a thumbnail integrated mode. The thumbnail integrated display mode specifically displays information of the electronic fence at the key position through information obtained through clustering service. The ship fishery management server queries the ship position characteristics and the area according to the data characteristic information in the electronic fence, so that the position area information of the ship is obtained.
The application environment of the optional searching and judging mode field is that in reality, one ship has multiple hanging bodies, namely, the same ship body has multiple hanging bodies, namely, multiple identification information exists, and the operation range, out-of-range information and the like of a specific ship can be accurately known through clustering query comparison of historical position data information and key electronic fence data information of the ship body, so that accuracy of monitoring information can be realized, and false hanging bodies can be distinguished. When the fishing boat information in a certain position area is marked as the type of the operation fishing boat (net stabbing/drifting), the received fishing boat position information in the system is determined not to accord with the marking information, and the stay time is obviously abnormal, and the warning state is judged.
The query information in the fishery management server includes: displaying positioning information of the ship body, a ship end terminal, a driver and other information through monitoring information; and displaying basic information and enterprise information of the ship body. When the information is alarm information, the alarm information of the ship body is displayed, wherein the alarm information comprises alarm time, alarm type, longitude and latitude and the like; the shipborne terminal analyzes the running condition of the equipment in real time, and alarms the equipment of faults and hidden dangers. The system displays alarm data on a control terminal or a ship-borne terminal; the alarm can be classified into 3 stages according to different equipment operation faults and hidden dangers.
The control message which is sent to the ship body through the message interaction unit and is displayed by the fishery management server comprises message time, message type, sending content and the like; and acquiring photo information and displaying the latest uploaded photo of the ship body.
The fishery management server comprises a message sending unit which is used for sending messages, and the system provides a function of issuing instructions. The issuing instruction is to send a message to the ship body and supervise the ship body. The instruction types comprise monitoring information, photographing request, message request, formal recording request, reporting driver information, reporting electronic waybill information and the like, the enterprise (ship body) must make feedback after receiving the instruction, and the system receives and stores the feedback information.
The management service platform further comprises a management statistics unit, wherein the management statistics unit is used for optionally displaying the number of the law enforcement fishing boats in the month, and the number of the law enforcement fishing boats in the month is counted in real time. And (3) carrying out statistics and display on the safety scoring condition, and carrying out real-time statistics on the ratio conditions of the fishing boat less than 60 minutes, 60-79 minutes and more than or equal to 80 minutes. And (5) displaying trend details, and checking security score change trend, security score record, violation ship quantity change trend and ship violation record after clicking the details.
Based on the examples described above, in one embodiment there is also provided a computer device/system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements any of the methods of the embodiments described above when executing the program.
Those skilled in the art will appreciate that implementing all or part of the above-described embodiments of the method may be implemented by a computer program for instructing relevant hardware, where the program may be stored on a non-volatile computer readable storage medium, and in an embodiment of the present invention, the program may be stored on a storage medium of a computer system and executed by at least one processor in the computer system to implement the method including the embodiments of the video playing method as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
Accordingly, there is also provided a storage medium having stored thereon a computer program, wherein the program when executed by a processor implements any of the methods of the embodiments described above.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (5)
1. The utility model provides a fishery management service system based on location information and electronic fence which characterized in that: the system comprises a fishery management server and a plurality of shipborne terminals, wherein the shipborne terminals select standby relay transmission nodes serving as operation information from a plurality of electronic fences according to signal coverage intensity and evaluation; the standby relay transmission node starts the short-distance position detection information, actively receives or relays the information of the shipborne terminal to be forwarded, and sends the information to the fishery management server;
the shipborne terminal sends the position data information of the shipborne terminal to the fishery management server, and in an emergency, the shipborne terminal transmits and forwards the information according to a standby relay transmission node arranged in the electronic fence; the standby relay transmission node transmits broadcast channels in the range of the electronic fence, triggers communication with a ship adjacent to the alerted shipborne terminal according to positioning data information in the electronic fence sent by the fishery management server, and forwards photos and information of the alerted shipborne terminal to the fishery management server;
the fishery management server collects and stores operation information of the shipborne terminal, wherein the operation information at least comprises an ID of a ship, classification of the fishing ship, driving information, law enforcement record information and position information of a departure operation;
the fishery management server performs clustering processing on the operation information, plans out area information on the electronic map according to the aggregated information, and marks a plurality of key positions on the electronic map according to the area information;
the fishery management server loads an electronic map, wherein the electronic map comprises geographic position information of each point of a coordinate system; mapping the planned multiple key positions to an electronic map, acquiring the real-time position of the ship, and tracking and monitoring the ship in the electronic map according to the positioning signals of the ship and the set electronic fence label information;
the fishery management server is further used for establishing an electronic fence area according to the key position; each key location has location data including a longitude and latitude of the key location; the clustering process further includes: obtaining positioning data in an electronic fence area, cleaning, classifying and clustering the positioning data, and establishing a multi-class positioning database; establishing a positioning portrait characteristic database according to machine learning of positioning data in the multi-class positioning database; the positioning portrait characteristic database belongs to a multi-class positioning database; the portrait characteristic of the positioning data in the electronic fence is ship characteristic information in the electronic fence area; the fishery management server sets different electronic fence label information for different electronic fence areas according to ship information of different time periods.
2. The system of claim 1, further characterized by: the machine learning is based on knowledge graph or k-means clustering algorithm.
3. The system of claim 2, further characterized by: the shape of the electronic fence area is rectangular and square; the fishery management server establishes an electronic fence area of the key position according to the position data of the set key position to obtain the electronic fence data of the key position; the ship data information in the electronic fence comprises a data set in a fence area or a fence boundary position data set.
4. A system as recited in claim 3, further characterized by: when the fishery management server inquires about ship going-out, matching analysis is carried out according to time intervals, and ship-mounted terminals or track data with the occurrence frequencies of corresponding ships in each time interval ordered from high to low are obtained; and obtaining possible behavior prediction of the ship through information feature matching in the fishery management server, and sending a reminding message.
5. The system of claim 4, further characterized by: the fishery management server is used for performing information interaction by clicking any ship body in the electronic fence in the map and displaying by popping up a webpage dialog box; in the information interaction of the fishery management server, the information is displayed in a thumbnail integrated mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210383557.2A CN114936944B (en) | 2022-04-13 | 2022-04-13 | Fishery management system based on positioning information and electronic fence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210383557.2A CN114936944B (en) | 2022-04-13 | 2022-04-13 | Fishery management system based on positioning information and electronic fence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114936944A CN114936944A (en) | 2022-08-23 |
| CN114936944B true CN114936944B (en) | 2023-06-13 |
Family
ID=82863018
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210383557.2A Active CN114936944B (en) | 2022-04-13 | 2022-04-13 | Fishery management system based on positioning information and electronic fence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114936944B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202374449U (en) * | 2011-11-08 | 2012-08-08 | 北京天安信通科技有限责任公司 | Electronic fence system based on mobile communication network |
| JP2016189083A (en) * | 2015-03-30 | 2016-11-04 | ヤンマー株式会社 | Management server and remote monitoring system |
| CN111899565A (en) * | 2020-07-17 | 2020-11-06 | 中交第一航务工程局有限公司 | Ship scheduling system and method based on informatization technology |
| CN113377058A (en) * | 2021-07-08 | 2021-09-10 | 联科云创(北京)科技有限公司 | Remote automatic management method of shipborne positioning terminal |
| WO2021190470A1 (en) * | 2020-03-24 | 2021-09-30 | 华为技术有限公司 | Electronic device positioning method and apparatus, and server, system and storage medium |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103558828B (en) * | 2013-11-08 | 2016-09-28 | 北京四方继保自动化股份有限公司 | Boats and ships grouping of the world economy supervisory systems based on mobile communication and satellite fix |
| CN107454571B (en) * | 2017-07-20 | 2019-04-16 | 清华大学 | A kind of coastal waters user's access switching method towards broadband experience |
| CN110070704A (en) * | 2018-01-22 | 2019-07-30 | 江苏迪纳数字科技股份有限公司 | A kind of fence monitoring method of automobile travel recorder |
| CN111539864B (en) * | 2020-03-31 | 2023-07-11 | 中国刑事警察学院 | Information analysis method and device for treading event based on LBS big data |
| CN111770447B (en) * | 2020-09-01 | 2021-01-05 | 摩拜(北京)信息技术有限公司 | Method and device for generating electronic fence and server |
| CN112837556A (en) * | 2020-12-31 | 2021-05-25 | 车主邦（北京）科技有限公司 | Vehicle position information monitoring processing method and device |
-
2022
- 2022-04-13 CN CN202210383557.2A patent/CN114936944B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202374449U (en) * | 2011-11-08 | 2012-08-08 | 北京天安信通科技有限责任公司 | Electronic fence system based on mobile communication network |
| JP2016189083A (en) * | 2015-03-30 | 2016-11-04 | ヤンマー株式会社 | Management server and remote monitoring system |
| WO2021190470A1 (en) * | 2020-03-24 | 2021-09-30 | 华为技术有限公司 | Electronic device positioning method and apparatus, and server, system and storage medium |
| CN111899565A (en) * | 2020-07-17 | 2020-11-06 | 中交第一航务工程局有限公司 | Ship scheduling system and method based on informatization technology |
| CN113377058A (en) * | 2021-07-08 | 2021-09-10 | 联科云创(北京)科技有限公司 | Remote automatic management method of shipborne positioning terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114936944A (en) | 2022-08-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Arguedas et al. | Maritime traffic networks: From historical positioning data to unsupervised maritime traffic monitoring | |
| De Souza et al. | Improving fishing pattern detection from satellite AIS using data mining and machine learning | |
| Laxhammar et al. | Anomaly detection in sea traffic-a comparison of the gaussian mixture model and the kernel density estimator | |
| Pallotta et al. | Traffic knowledge discovery from AIS data | |
| JP3882025B1 (en) | Wide area ship motion monitoring method and system | |
| JP2020537262A (en) | Methods and equipment for automated monitoring systems | |
| EP2610636A1 (en) | Providing near real-time maritime insight from satellite imagery and extrinsic data | |
| Zhu | Mining ship spatial trajectory patterns from AIS database for maritime surveillance | |
| Yan et al. | Vessel movement analysis and pattern discovery using density-based clustering approach | |
| CA2684868C (en) | System and method for harvesting business intelligence from maritime communications | |
| CN110059919B (en) | Population anomaly information detection method and system based on big data | |
| Carlini et al. | Uncovering vessel movement patterns from AIS data with graph evolution analysis. | |
| CN113591540A (en) | Method and system for monitoring and early warning illegal fishing in fishery | |
| Dästner et al. | Machine learning techniques for enhancing maritime surveillance based on GMTI radar and AIS | |
| Toloue et al. | Anomalous behavior detection of marine vessels based on Hidden Markov Model | |
| Kontopoulos et al. | A computer vision approach for trajectory classification | |
| Shahir et al. | TripTracker: unsupervised learning of fishing vessel routine activity patterns | |
| CN114936944B (en) | Fishery management system based on positioning information and electronic fence | |
| Kabra et al. | Deep object detection for waterbird monitoring using aerial imagery | |
| Tampakis et al. | Sea area monitoring and analysis of fishing vessels activity: The i4sea big data platform | |
| KR20170104209A (en) | Apparatus and method for trajectory processing of vessel | |
| CN110473396A (en) | Traffic congestion data analysis method, device, electronic equipment and storage medium | |
| Tun et al. | Maritime port intelligence using AIS data | |
| Prasad et al. | Maritime Vessel Route Extraction and Automatic Information System (AIS) Spoofing Detection | |
| Dästner et al. | Machine learning support for radar-based surveillance systems |
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 |