CN117612355B - Floating submerged buoy anti-collision damage system and method based on Internet of things - Google Patents

Floating submerged buoy anti-collision damage system and method based on Internet of things Download PDF

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CN117612355B
CN117612355B CN202311569436.8A CN202311569436A CN117612355B CN 117612355 B CN117612355 B CN 117612355B CN 202311569436 A CN202311569436 A CN 202311569436A CN 117612355 B CN117612355 B CN 117612355B
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real
time
buoy
preset
state
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CN117612355A (en
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林冠英
孟强
张新文
周保成
张金尚
丁奕博
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South China Sea Survey Technology Center State Oceanic Administration (south China Sea Marine Buoy Center)
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South China Sea Survey Technology Center State Oceanic Administration (south China Sea Marine Buoy Center)
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B22/00—Buoys
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C13/00—Surveying specially adapted to open water, e.g. sea, lake, river or canal
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G3/00—Traffic control systems for marine craft
    • G08G3/02—Anti-collision systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/50—Safety; Security of things, users, data or systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B22/00—Buoys
    • B63B2022/006—Buoys specially adapted for measuring or watch purposes
    • 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
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A30/00—Adapting or protecting infrastructure or their operation
    • Y02A30/30—Adapting or protecting infrastructure or their operation in transportation, e.g. on roads, waterways or railways

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  • Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Ocean & Marine Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Chemical & Material Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Health & Medical Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Computer Security & Cryptography (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Alarm Systems (AREA)

Abstract

The invention relates to the technical field of buoy and submerged buoy, and discloses a buoy and submerged buoy anti-collision damage system and method based on the Internet of things, wherein the buoy and submerged buoy anti-collision damage system comprises a buoy and submerged buoy state monitoring module, and a real-time state safety coefficient of a target buoy is calculated according to the real-time state parameter; the environment monitoring module is used for calculating the real-time environment safety coefficient of the target buoy according to the real-time environment data; the analysis processing module is used for adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient when the real-time environment safety coefficient does not meet a preset standard range; and the early warning module is used for judging that when the real-time state safety coefficient does not meet the preset threshold range, an early warning signal is sent out when a ship enters the initial protection area, and an adjusted early warning signal is sent out when the ship enters the initial protection area of the target buoy, so that the buoy can be more effectively prevented from being collided and damaged.

Description

Floating submerged buoy anti-collision damage system and method based on Internet of things
Technical Field
The invention relates to the technical field of submerged buoy, in particular to a submerged buoy anti-collision damage system and method based on the Internet of things.
Background
The buoy is a device for monitoring marine hydrology and meteorological conditions, and is an unattended system which can monitor marine hydrology and meteorological factors such as temperature, salinity, water level, wind speed, wind direction and the like continuously, synchronously and automatically for a long time.
By adding a special sensor, the floating submerged buoy can provide more accurate and reliable data for ocean monitoring and early warning, such as water level early warning, ocean pollution monitoring, ocean wave prediction and the like. In addition, the submerged buoy can be used for marine research, including research on marine ecology, hydrology, weather, topography and the like, and development and utilization of marine resources, such as management and development of resources of fishery, submarine minerals and the like. In short, the submerged buoy is very useful equipment and has important significance for marine science research, resource development and environmental protection.
However, due to the complexity and unpredictability of the marine environment, the submerged buoy is often subject to various collisions and damages during operation, which not only affects the accuracy of the monitored data, but also may cause damage and loss of equipment. Therefore, a system for preventing the submerged buoy from collision and damage based on the Internet of things is provided.
Disclosure of Invention
The invention aims to provide a floating submerged buoy anti-collision damage system and method based on the Internet of things, which solve the following technical problems:
How to provide a monitoring system capable of more effectively preventing a submerged buoy from being collided and damaged.
The aim of the invention can be achieved by the following technical scheme:
A floating submerged buoy anti-collision damage system based on the Internet of things comprises:
the system comprises a floating submerged buoy state monitoring module, a target floating submerged buoy state monitoring module and a target floating submerged buoy state monitoring module, wherein the floating submerged buoy state monitoring module is used for monitoring real-time state parameters of a target floating submerged buoy in real time and calculating real-time state safety coefficients of the target floating submerged buoy according to the real-time state parameters;
the environment monitoring module is used for monitoring real-time environment data of the target buoy in real time and calculating a real-time environment safety coefficient of the target buoy according to the real-time environment data;
The analysis processing module is used for receiving the real-time state safety coefficient and the real-time environment safety coefficient, and adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient when the real-time environment safety coefficient does not meet a preset standard range;
And the early warning module is used for judging that when the real-time state safety coefficient does not meet the preset threshold range, an early warning signal is sent out when a ship enters the initial protection area, and an early warning signal is sent out when the ship enters the adjusted initial protection area of the target buoy.
Preferably, the process of calculating the real-time state safety coefficient of the target buoy according to the real-time state parameter includes:
by the formula:
calculating a real-time state safety coefficient Z t of the target buoy at the time t;
Wherein, γ r is the weight coefficient of the r-th state parameter, n is the number of terms of the state parameter, and D rt is the application coefficient of the r-th state parameter at the time t.
Preferably, the calculation process of the application coefficient at the time of the r-th state parameter t includes:
by the formula:
Calculating an application coefficient D rt at the time of the r-th state parameter t;
Wherein m is the number of the (r) th state parameters acquired in a preset period, Y 0 is the number of the (r) th state parameters acquired in the preset period, And sigma 0 is a preset standard deviation state value, which is the average value of the (r) state parameters acquired in a preset period.
Preferably, the process of monitoring the real-time environmental data of the target buoy in real time includes:
Establishing an environment monitoring module group on circumferences with different preset radiuses by taking the target buoy as a circle center, wherein the environment monitoring module group comprises a plurality of environment monitoring modules;
acquiring real-time environment data monitored by each environment monitoring module in real time;
the environment monitoring modules of the environment monitoring module groups established on circumferences of different preset radiuses are alternately arranged.
Preferably, the process of calculating the real-time environmental safety coefficient of the target buoy according to the real-time environmental data comprises the following steps:
by the formula:
Ht＝α1*β1+α2*β2+α3*β3-α4*β4
Calculating a real-time environment safety coefficient H t of the target buoy at the moment t;
Wherein, alpha 1 is the weight coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 1, beta 1 is the application coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 1, alpha 2 is the weight coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 2, beta 2 is the application coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 2, alpha 3 is the weight coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 3, beta 3 is an application coefficient of the environment monitoring module group established on the circumference when the preset radius is r 3, alpha 4 is a weight coefficient when each real-time environment data monitored by the environment monitoring module group on the circumference when the preset radius is r 1、r2 and r 3 meets a preset rule, and beta 4 is an application coefficient when each real-time environment data monitored by the environment monitoring module group on the circumference when the preset radius is r 1、r2 and r 3 meets the preset rule.
Preferably, the process of judging whether each real-time environmental data monitored by the environmental monitoring module group on each circumference meets a preset rule includes:
by the formula:
Calculating a rule coefficient G;
When G meets the preset rule range, the real-time environment data monitored by the environment monitoring module group on the circumference with the preset radius of r 1、r2 and r 3 meet the preset rule,
Otherwise, β 4 =0 is not satisfied;
wherein G is a predetermined regular state value, G 0 is a regular conversion function.
Preferably, the process of adjusting the initial protection area of the target buoy according to the real-time state safety factor and the real-time environment safety factor includes:
by the formula:
calculating the radius R 1 of the adjusted protection area;
Wherein Z 0 is a state safety preset state threshold, H 0 is an environmental safety preset state threshold, and R 0 is an initial radius of the initial protection area.
A method for preventing collision and damage of a submerged buoy based on the Internet of things comprises the following steps:
Real-time monitoring real-time state parameters of a target buoy and calculating real-time state safety coefficients of the target buoy according to the real-time state parameters;
real-time environment data of the target buoy are monitored in real time, and a real-time environment safety coefficient of the target buoy is calculated according to the real-time environment data;
When the real-time environment safety coefficient does not meet the preset standard range, adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient;
and when the real-time state safety coefficient does not meet the preset threshold range, sending out an early warning signal when a ship enters the initial protection area and sending out an early warning signal when the ship enters the adjusted initial protection area of the target floating submerged buoy.
The invention has the beneficial effects that:
According to the anti-collision damage system and method for the submerged buoy based on the Internet of things, the real-time state parameters of the target submerged buoy are monitored in real time through the submerged buoy state monitoring module, so that the state of the submerged buoy is judged according to the real-time state parameters of the target submerged buoy, when the real-time state safety coefficient does not meet the preset threshold range, the state of the submerged buoy is disturbed, an alarm is given out when a ship is monitored to drive into an initial protection area, the submerged buoy can be prevented from being collided and damaged, the range of the initial protection area is obtained according to experimental data in a fitting mode, and the alarm is given out and intervention measures are made when the state of the submerged buoy is disturbed.
Simultaneously, real-time environmental data around the target buoy is monitored in real time through the environmental monitoring module, when the environmental data is abnormal, namely when the real-time environmental safety coefficient does not meet the preset standard range, the initial protection area of the target buoy is adjusted according to the real-time state safety coefficient and the real-time environmental safety coefficient, so that the protection area of the buoy is enlarged, the purpose of early warning in advance is achieved, and the buoy is further effectively prevented from being collided and damaged.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a system module connection according to 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.
Referring to fig. 1, the invention relates to a floating submerged buoy anti-collision damage system based on the internet of things, comprising:
The floating submerged buoy state monitoring module is used for monitoring real-time state parameters of the target floating submerged buoy in real time and calculating a real-time state safety coefficient of the target floating submerged buoy according to the real-time state parameters;
the environment monitoring module is used for monitoring real-time environment data of the target buoy in real time and calculating a real-time environment safety coefficient of the target buoy according to the real-time environment data;
The analysis processing module is used for receiving the real-time state safety coefficient and the real-time environment safety coefficient, and adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient when the real-time environment safety coefficient does not meet a preset standard range;
and the early warning module is used for judging that when the real-time state safety coefficient does not meet the preset threshold range, an early warning signal is sent out when a ship enters the initial protection area, and an early warning signal is sent out when the ship enters the initial protection area of the adjusted target buoy.
According to the technical scheme, the anti-collision damage system for the submerged buoy based on the Internet of things is provided, specifically, the real-time state parameters of the target submerged buoy are monitored in real time through the submerged buoy state monitoring module, so that the state of the submerged buoy is judged according to the real-time state parameters of the target submerged buoy, when the real-time state safety coefficient does not meet the preset threshold range, the state of the submerged buoy is disturbed, an alarm is sent out when a ship is monitored to drive into an initial protection area, the submerged buoy can be effectively prevented from being collided and damaged, the range of the initial protection area is obtained according to fitting of experimental data, and the condition of the submerged buoy is disturbed for giving out an alarm and making intervention measures in enough time;
Simultaneously, real-time environmental data around the target buoy is monitored in real time through the environmental monitoring module, when the environmental data is abnormal, namely when the real-time environmental safety coefficient does not meet the preset standard range, the initial protection area of the target buoy is adjusted according to the real-time state safety coefficient and the real-time environmental safety coefficient, so that the protection area of the buoy is enlarged, the purpose of early warning in advance is achieved, and the buoy is further effectively prevented from being collided and damaged.
The real-time state parameters are obtained by installing various sensors, such as a flow rate sensor, a wind speed sensor and the like, on the buoy device, and the flow rate sensor can monitor the flow rate of the water body in real time; the wind speed sensor can monitor the wind speed above the water body in real time.
The process for calculating the real-time state safety coefficient of the target buoy according to the real-time state parameters comprises the following steps:
by the formula:
Calculating a real-time state safety coefficient Z t of the target buoy at the time t;
Wherein, γ r is the weight coefficient of the r-th state parameter, n is the number of terms of the state parameter, and D rt is the application coefficient of the r-th state parameter at the time t.
Through the above technical solution, the present embodiment provides a method for calculating a real-time state safety coefficient of a target buoy according to a real-time state parameter, specifically, through a formulaCalculating a real-time state safety coefficient Z t of the target buoy at the time t; wherein, gamma r is the weight coefficient of the r state parameter, n is the number of items of the state parameter, and D rt is the application coefficient of the r state parameter at the time t, so as to judge the state of the submerged buoy according to the real-time state parameter of the target submerged buoy.
It should be noted that, the weight coefficients corresponding to the different state parameter items are different, the specific values of γ r are obtained according to the different degrees of influence of the different state parameters on the safety of the submerged buoy device, and are selectively set according to the empirical data, which is not described in detail herein.
The calculation process of the application coefficient at the time of the r-th state parameter t comprises the following steps:
by the formula:
Calculating an application coefficient D rt at the time of the r-th state parameter t;
Wherein m is the number of the (r) th state parameters acquired in a preset period, Y 0 is the number of the (r) th state parameters acquired in the preset period, And sigma 0 is a preset standard deviation state value, which is the average value of the (r) state parameters acquired in a preset period.
Through the above technical solution, the present embodiment provides a method for calculating an application coefficient at the time of the r-th state parameter t, specifically, through a formulaCalculating an application coefficient D rt at the time of the r-th state parameter t; wherein m is the number of the (r) th state parameters acquired in the preset period, Y 0 is the number of the (r) th state parameters acquired in the preset period,/>For the average value of the (r) state parameters acquired in a preset period, sigma 0 is a preset standard deviation state value, and then the change state of each state parameter is judged by applying a coefficient D rt;
Note that, the preset standard deviation state value σ 0 is set according to an empirical data fitting, which is not described in detail herein.
The process for monitoring the real-time environment data of the target buoy in real time comprises the following steps:
Establishing an environment monitoring module group on circumferences with different preset radiuses by taking a target buoy as a circle center, wherein the environment monitoring module group comprises a plurality of environment monitoring modules;
acquiring real-time environment data monitored by each environment monitoring module in real time;
The environment monitoring modules of the environment monitoring module groups established on circumferences with different preset radiuses are alternately arranged.
Through the above technical scheme, the embodiment provides a method for monitoring real-time environmental data of a target buoy in real time, specifically, the target buoy is taken as a circle center, an environmental monitoring module group is established on circumferences with different preset radiuses, the environmental monitoring module group comprises a plurality of environmental monitoring modules, real-time environmental data monitored by each environmental monitoring module are acquired in real time, and therefore environmental changes around the target buoy are accurately monitored through the established plurality of environmental monitoring module groups, wherein the environmental monitoring modules of the environmental monitoring module groups established on circumferences with different preset radiuses are alternately arranged, and further, the accuracy of environmental monitoring is improved, and the buoy is more effectively prevented from being collided and damaged.
The process for calculating the real-time environment safety coefficient of the target buoy according to the real-time environment data comprises the following steps:
by the formula:
Ht＝α1*β1+α2*β2+α3*β3-α4*β4
Calculating a real-time environment safety coefficient H t of the target buoy at the moment t;
Wherein, alpha 1 is the weight coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 1, beta 1 is the application coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 1, alpha 2 is the weight coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 2, beta 2 is the application coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 2, alpha 3 is the weight coefficient of the environmental monitoring module group established on the circumference when the preset radius is r 3, beta 3 is an application coefficient of the environment monitoring module group established on the circumference when the preset radius is r 3, alpha 4 is a weight coefficient when each real-time environment data monitored by the environment monitoring module group on the circumference when the preset radius is r 1、r2 and r 3 meets a preset rule, and beta 4 is an application coefficient when each real-time environment data monitored by the environment monitoring module group on the circumference when the preset radius is r 1、r2 and r 3 meets the preset rule.
Through the above technical solution, the present embodiment provides a method for calculating a real-time environmental safety coefficient of a target buoy according to real-time environmental data, specifically, calculates a real-time environmental safety coefficient H t of the target buoy at time t through a formula H t＝α1*β1+α2*β2+α3*β3-α4*β4, where α 4 is a weight coefficient when each real-time environmental data monitored by an environmental monitoring module group on a circumference with preset radii r 1、r2 and r 3 meets a preset rule, β 4 is an application coefficient when each real-time environmental data monitored by an environmental monitoring module group on a circumference with preset radii r 1、r2 and r 3 meets a preset rule, so as to subtract interference of motion of a marine water body and the like, and improve accuracy of environmental monitoring.
It should be noted that, the application coefficients of the environmental monitoring module groups established on the circumference when the preset radius is r 1、r2 and r 3 are obtained according to the real-time environmental data and the preset environmental state value, and the weight coefficients of the environmental monitoring module groups established on the circumference when the preset radius is r 1、r2 and r 3 are obtained according to the different influence degrees of the positions of the different environmental monitoring module groups on the environment of the submerged buoy device, and are selectively set according to the empirical data, which is not described in detail herein.
The process for judging whether the real-time environment data monitored by the environment monitoring module group on each circumference meets the preset rule comprises the following steps:
by the formula:
Calculating a rule coefficient G;
when G meets the preset rule range, the real-time environment data monitored by the environment monitoring module groups on the circumferences with preset radii of r 1、r2 and r 3 meet the preset rule,
Otherwise, β 4 =0 is not satisfied;
wherein G is a predetermined regular state value, G 0 is a regular conversion function.
Through the above technical solution, the present embodiment proposes a method for determining whether each real-time environmental data monitored by each environmental monitoring module group on each circumference meets a preset rule, specifically, by a formulaCalculating a rule coefficient G; obviously, when G meets the preset rule range, each real-time environmental data monitored by the environmental monitoring module group on the circumference with the preset radius of r 1、r2 and r 3 meets the preset rule,/>Otherwise, β 4 =0 is not satisfied; the G law conversion function is obtained after BIM analysis fitting according to experimental data, and G 0 is obtained according to experimental data fitting for a preset law state value.
The process for adjusting the initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient comprises the following steps:
by the formula:
calculating the radius R 1 of the adjusted protection area;
Wherein Z 0 is a state safety preset state threshold, H 0 is an environmental safety preset state threshold, and R 0 is an initial radius of the initial protection area.
Through the above technical solution, the present embodiment proposes a method for adjusting an initial protection area of a target buoy according to a real-time state security coefficient and a real-time environment security coefficient, specifically, by a formulaAnd calculating the radius R 1 of the regulated protection area, so as to enlarge the protection area of the floating submerged buoy, achieve the purpose of early warning in advance, and further effectively prevent the floating submerged buoy from being collided and damaged.
It should be noted that, Z 0 is a state safety preset state threshold value obtained according to an experimental data fit, H 0 is an environmental safety preset state threshold value obtained according to an experimental data fit, and R 0 is an initial radius of an initial protection area obtained according to an experimental data fit.
A method for preventing collision and damage of a submerged buoy based on the Internet of things comprises the following steps:
real-time state parameters of the target buoy are monitored in real time, and real-time state safety coefficients of the target buoy are calculated according to the real-time state parameters;
real-time environment data of the target buoy are monitored in real time, and real-time environment safety coefficients of the target buoy are calculated according to the real-time environment data;
When the real-time environment safety coefficient does not meet the preset standard range, adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient;
and when the real-time state safety coefficient does not meet the preset threshold range, sending out an early warning signal when a ship enters the initial protection area and sending out an early warning signal when the ship enters the initial protection area of the adjusted target buoy.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (3)

1. The utility model provides a system is destroyed in collision is prevented to buoy based on thing networking, its characterized in that includes:
the system comprises a floating submerged buoy state monitoring module, a target floating submerged buoy state monitoring module and a target floating submerged buoy state monitoring module, wherein the floating submerged buoy state monitoring module is used for monitoring real-time state parameters of a target floating submerged buoy in real time and calculating real-time state safety coefficients of the target floating submerged buoy according to the real-time state parameters;
the environment monitoring module is used for monitoring real-time environment data of the target buoy in real time and calculating a real-time environment safety coefficient of the target buoy according to the real-time environment data;
The analysis processing module is used for receiving the real-time state safety coefficient and the real-time environment safety coefficient, and adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient when the real-time environment safety coefficient does not meet a preset standard range;
The early warning module is used for judging that when the real-time state safety coefficient does not meet a preset threshold range, an early warning signal is sent out when a ship enters the initial protection area, and an early warning signal is sent out when the ship enters the adjusted initial protection area of the target buoy;
the process for calculating the real-time state safety coefficient of the target buoy according to the real-time state parameters comprises the following steps:
by the formula:
；
Calculating the real-time state safety coefficient of the target buoy at the time t ；
Wherein,Is the weight coefficient of the (r) th state parameter, n is the number of terms of the state parameter,/>For the r-th state parameter/>The application coefficient of the moment;
The (r) th state parameter The calculation process of the application coefficient of the moment comprises the following steps:
by the formula:
；
Calculate the first Personal status parameter/>Application coefficient of time of day/>；
Wherein,For the obtained/>, within a preset periodNumber of individual state parameters,/>For the obtained/>, within a preset periodNumerical value of individual State parameter,/>Is the average value of the (r) th state parameter acquired in a preset period,/>The standard deviation state value is preset;
The process for monitoring the real-time environment data of the target buoy in real time comprises the following steps:
Establishing an environment monitoring module group on circumferences with different preset radiuses by taking the target buoy as a circle center, wherein the environment monitoring module group comprises a plurality of environment monitoring modules;
acquiring real-time environment data monitored by each environment monitoring module in real time;
The environment monitoring modules of the environment monitoring module groups established on circumferences with different preset radiuses are alternately arranged;
The process of calculating the real-time environmental safety coefficient of the target buoy according to the real-time environmental data comprises the following steps:
by the formula:
；
calculating the real-time environmental safety coefficient of the target buoy at the time t ；
Wherein,For a preset radius/>Weight coefficient of the environment monitoring module group established on the time circumference,/>For a preset radius/>Application coefficient of the environment monitoring module group established on the time circumference,/>For a preset radius/>Weight coefficient of the environment monitoring module group established on the time circumference,/>For a preset radius/>Application coefficient of the environment monitoring module group established on the time circumference,/>For a preset radius/>Weight coefficient of the environment monitoring module group established on the time circumference,/>For a preset radius/>Application coefficient of the environment monitoring module group established on the time circumference,/>For a preset radius/>、/>And/>The weight coefficient when each real-time environmental data monitored by the environmental monitoring module group on the circumference of the (a) meets a preset rule,/>For a preset radius/>、/>And/>The application coefficients of the environment monitoring module group on the circumference when the real-time environment data monitored by the environment monitoring module group meet the preset rules;
the process for judging whether the real-time environment data monitored by the environment monitoring module group on each circumference meet the preset rule comprises the following steps:
by the formula:
；
Calculating rule coefficients ；
When (when)When the preset rule range is satisfied, the preset radius is/>、/>And/>Each real-time environmental data monitored by the environmental monitoring module group on the circumference of the (a) meets a preset rule,/>；
Otherwise, the method is not satisfied,；
Wherein,Regular transformation function,/>Is a preset regular state value.
2. The internet of things-based buoy anti-collision damage system of claim 1, wherein the process of adjusting the initial protection area of the target buoy according to the real-time state safety factor and the real-time environment safety factor comprises:
by the formula:
；
calculating the radius of the adjusted protection area ；
Wherein,Preset state threshold for state security,/>Preset state threshold for environmental security,/>Is the initial radius of the initial protected area.
3. The anti-collision damage method for the submerged buoy based on the Internet of things is applied to the submerged buoy anti-collision damage system based on the Internet of things as claimed in any one of claims 1-2, and is characterized by comprising the following steps:
Real-time monitoring real-time state parameters of a target buoy and calculating real-time state safety coefficients of the target buoy according to the real-time state parameters;
real-time environment data of the target buoy are monitored in real time, and a real-time environment safety coefficient of the target buoy is calculated according to the real-time environment data;
When the real-time environment safety coefficient does not meet the preset standard range, adjusting an initial protection area of the target buoy according to the real-time state safety coefficient and the real-time environment safety coefficient;
and when the real-time state safety coefficient does not meet the preset threshold range, sending out an early warning signal when a ship enters the initial protection area and sending out an early warning signal when the ship enters the adjusted initial protection area of the target floating submerged buoy.
CN202311569436.8A 2023-11-23 2023-11-23 Floating submerged buoy anti-collision damage system and method based on Internet of things Active CN117612355B (en)

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