阅读说明：本技术 一种面向船舶的智能海上船舶遇险预警系统 (Intelligent marine ship distress early warning system for ship ) 是由 王宏波 王红冉 马文耀 李用江 孙墨林 付昭斌 于 2020-07-15 设计创作，主要内容包括：本发明公开了一种面向船舶的智能海上船舶遇险预警系统,所述船体状况监测系统包括舱室浸水监测系统、烟雾探测系统、回声探测系统、船体结构分析系统、全景扫描系统和风浪环境采集系统,所述舱室浸水检测系统可以监测船舶各舱室进水状况,所述烟雾探测系统可以监测船舶失火情况,所述回声探测系统可以探测船舶吃水状况,所述全景扫描系统可以建立船舶各舱室及船舶整体的三维模型。该面向船舶的智能海上船舶遇险预警系统通过设置的船体状况监测系统和遇险预警决策系统,可以有效的缩短船舶遇险到救援之间海上搜救中心进行搜救方案制定和搜救力量调配的规划时间,加强遇险人员安全保障,值得大力推广。(The invention discloses an intelligent marine ship distress early warning system for a ship, wherein a ship body condition monitoring system comprises a cabin immersion monitoring system, a smoke detection system, an echo detection system, a ship body structure analysis system, a panoramic scanning system and a wind and wave environment acquisition system, the cabin immersion detection system can monitor the water inflow condition of each cabin of the ship, the smoke detection system can monitor the ship fire condition, the echo detection system can detect the ship draft condition, and the panoramic scanning system can establish a three-dimensional model of each cabin of the ship and the whole ship. According to the ship-oriented intelligent marine ship distress early warning system, the planning time for search and rescue scheme formulation and search and rescue force allocation of a marine search and rescue center between ship distress and rescue can be effectively shortened through the arranged ship condition monitoring system and the distress early warning decision-making system, the safety guarantee of distress personnel is enhanced, and the ship-oriented intelligent marine ship distress early warning system is worthy of being widely popularized.)

1. The utility model provides a towards intelligent marine vessel early warning system in danger of boats and ships which characterized in that: the distress early warning system comprises a ship body condition monitoring system and a distress early warning decision-making system;

the ship body condition monitoring system comprises a cabin immersion monitoring system, a smoke detection system, an echo detection system, a ship body structure analysis system, a panoramic scanning system and a wind wave environment acquisition system;

the cabin immersion detection system can monitor the water inflow condition of each cabin of the ship, the smoke detection system can monitor the ship fire condition, the echo detection system can detect the ship draught condition, the panoramic scanning system can establish a three-dimensional model of each cabin of the ship and the whole ship, and the storm environment acquisition system can collect the storm condition around the ship and establish a storm model;

the distress decision early warning system comprises a prediction control system, a distress grade evaluation system, a machine learning system and a control system;

the prediction control system comprises an inference machine, a local intensity check algorithm, a ship damage proportion algorithm and a ship stability check algorithm;

the distress rating system can fuse the data of the prediction system and the data of the ship condition monitoring system through a fusion algorithm to calculate the rating, and the control system can broadcast distress early warning information and ask for help according to the rated rating.

2. The ship-oriented intelligent marine ship distress warning system according to claim 1, wherein: the ship distress early warning decision-making system comprises the following calculation steps:

s1, acquiring ship parameters, acquiring various cabins and structures of the ship and target parameters of wind waves outside the ship through a ship state detection system, fusing the acquired data through a fusion algorithm controller, converting the required strength, stability and damage states of the ship, converting cabin immersion data and smoke monitoring data into a three-dimensional model established by a panoramic scanner, converting data of an echo detector and a wind wave environment collector into a model established by a ship structure analysis system, performing damage distribution and fire place distribution positioning of the existing state of the ship, and performing strength checking and stability checking calculation;

s2, analyzing ship parameters, namely analyzing the data acquired in S1 through a predictive control system, calculating the strength, damage ratio and existing stability of ship parameters of a ship cabin by using a ship information database, a local strength check algorithm, a ship stability check algorithm and a ship damage ratio algorithm, analyzing whether the parameters of the ship accord with the application range of normal navigation of the ship or not by using an inference machine according to the calculated data of the strength, stability and the like of the ship, and predicting the probability of a larger accident occurring in the next time of the ship;

s3, the distress rating system evaluates the analyzed parameters according to the existing danger rating, wherein the emergency time is a red highest level A, the emergency time is an orange second level B, and the safety edge is a yellow third level C;

s4, converting various signals of ships and broadcasting distress information, controlling the number lamps of the ships through a control system and giving a number prompt, broadcasting the distress information according to requirements, broadcasting the ship distress time signal to the whole ship according to A-level requirements, automatically sending the ship distress time information to a maritime search and rescue center at the same time, flashing red ship distress information warning lamps, wherein the information comprises a ship position, a damage condition, an intensity analysis graph and a stability analysis graph, broadcasting the ship distress time signal to the whole ship according to B-level requirements, automatically sending the ship distress time information to the maritime search and rescue center at the same time, flashing orange emergency information warning lamps, wherein the information comprises a ship state analysis report, the maritime search and rescue center can match a search and rescue scheme according to the received report and allocate the required search and rescue force, broadcasting a safe yellow warning signal to the whole ship according to C-level requirements, and keeping a crew alert, follow the captain's further direction.

3. The ship-oriented intelligent marine ship distress warning system according to claim 2, wherein: the inference machine comprises a target parameter calculation analysis module, a target situation prediction analysis module and a target danger level analysis module.

Technical Field

The invention relates to the technical field of ship distress search and rescue, in particular to an intelligent marine distress early warning system for a ship.

Background

With the continuous development of science and technology, the field of marine transport ships is also continuously developed, cargo transportation work and personnel transportation work are facilitated through the synchronous development of sea and land, once the ships are in danger at sea, only equipment and rescue measures of the ships are not enough to complete self rescue under some conditions, and at the moment, a marine search and rescue organization is required to provide rescue;

1. however, when a ship is in distress sent under the condition of being unable to save oneself, the maritime search and rescue center also needs to make a proper search and rescue scheme and allocate maritime search and rescue force according to the search and rescue plan, and the ship may drift and be out of control during the time from the reception of distress information to the determination of the position of the ship and the arrival of allocation, so that the life safety of crew cannot be well guaranteed;

2. on the other hand, as some ships do not send the ship reports in time, the maritime organization determines the ship distress and the current conditions from the acquisition of the bad ship conditions to the search of the rescue ships, and has long waiting time in the middle, so that the rescue is difficult to provide in time;

aiming at the phenomenon, in order to save the time for the arrival of the distress situation and the arrival of a rescue team at the distress place and determine the distress of the ship or the face of the distress as early as possible, the invention takes the ship as a main body, establishes a three-dimensional model of the ship and the surrounding environment of the ship, predicts and analyzes the distress information, and can enable relevant maritime units and search and rescue units to pay attention to the dangerous situation of the ship and need rescue earlier, thereby shortening the intermediate waiting time and ensuring the life safety of people in the sea to a greater extent.

Disclosure of Invention

The invention aims to improve the search and rescue process existing in the existing search and rescue, and provides an intelligent marine distress early warning system facing a ship, so as to solve the problem that time possibly exists in the existing search and rescue process, save the time for making a corresponding search and rescue scheme and allocating search and rescue force, and respond according to the prediction of the system in one step in advance.

In order to achieve the purpose, the invention adopts the following technical scheme: an intelligent marine ship distress early warning system for ships comprises a ship body condition monitoring system and a distress early warning decision-making system;

the ship body condition monitoring system comprises a cabin immersion monitoring system, a smoke detection system, an echo detection system, a ship body structure analysis system, a panoramic scanning system and a wind wave environment acquisition system;

the cabin immersion detection system can monitor the water inflow condition of each cabin of the ship, the smoke detection system can monitor the ship fire condition, the echo detection system can detect the ship draught condition, the panoramic scanning system can establish a three-dimensional model of each cabin of the ship and the whole ship, and the storm environment acquisition system can collect the storm condition around the ship and establish a storm model;

the distress decision early warning system comprises a prediction control system, a distress grade evaluation system, a machine learning system and a control system;

the prediction control system comprises an inference machine, a local intensity check algorithm, a ship damage proportion algorithm and a ship stability check algorithm;

the distress rating system can fuse the data of the prediction system and the data of the ship condition monitoring system through a fusion algorithm to calculate the rating, and the control system can broadcast distress early warning information and ask for help according to the rated rating.

Preferably, the calculation steps of the ship distress warning system are as follows:

s1, acquiring ship parameters, acquiring various cabins and structures of the ship and target parameters of wind waves outside the ship through a ship state detection system, fusing the acquired data through a fusion algorithm controller, converting the required strength, stability and damage states of the ship, converting cabin immersion data and smoke monitoring data into a three-dimensional model established by a panoramic scanner, converting data of an echo detector and a wind wave environment collector into a model established by a ship structure analysis system, performing damage distribution and fire place distribution positioning of the existing state of the ship, and performing strength checking and stability checking calculation.

And S2, analyzing ship parameters, namely analyzing the data acquired in S1 through a predictive control system, calculating the strength, damage ratio and existing stability of the ship parameters of a ship cabin by using a ship information database, a local strength check algorithm, a ship stability check algorithm and a ship damage ratio algorithm, analyzing whether the parameters of the ship accord with the application range of normal navigation of the ship or not by using an inference machine according to the calculated data of the strength, stability and the like of the ship, and predicting the probability of a larger accident occurring in the next time of the ship.

And S3, the distress rating system evaluates the analyzed parameters according to the existing danger rating, wherein the emergency time is a red highest level A, the emergency time is an orange second level B, and the safety edge is a yellow third level C.

S4, converting various signals of ships and broadcasting distress information, controlling the number lamps of the ships through a control system and giving a number prompt, broadcasting the distress information according to requirements, broadcasting the ship distress time signal to the whole ship according to A-level requirements, automatically sending the ship distress time information to a maritime search and rescue center at the same time, flashing red ship distress information warning lamps, wherein the information comprises a ship position, a damage condition, an intensity analysis graph and a stability analysis graph, broadcasting the ship distress time signal to the whole ship according to B-level requirements, automatically sending the ship distress time information to the maritime search and rescue center at the same time, flashing orange emergency information warning lamps, wherein the information comprises a ship state analysis report, the maritime search and rescue center can match a search and rescue scheme according to the received report and allocate the required search and rescue force, broadcasting a safe yellow warning signal to the whole ship according to C-level requirements, and keeping a crew alert, follow the captain's further direction.

Preferably, the inference engine comprises a target parameter calculation analysis module, a target situation prediction analysis module and a target danger level analysis module.

Compared with the prior art, the invention has the beneficial effects that: this intelligent marine vessel distress early warning system towards boats and ships:

(1) through the arranged ship condition monitoring system and the distress early warning decision-making system, the ship condition monitoring system can collect data collected by six system instruments including a cabin immersion monitoring system, a smoke detection system, an echo detection system, a ship structure analysis system, a panoramic scanning system and a wind and wave environment acquisition system, the cabin immersion detection system collects the water inlet condition data of each cabin of the ship, the smoke detection system collects the fire condition data of the ship, the echo detection system collects the draft condition data of the ship, the panoramic scanning system carries out three-dimensional panoramic scanning of the ship, a three-dimensional model of each cabin of the ship and the whole ship is established, the wind and wave environment acquisition system collects the peripheral wind and wave condition data of the ship, a wind and wave model is established, the distress decision-making early warning system can calculate and analyze the collected data, the method comprises the steps of analyzing the level of the distress condition of the ship, and further broadcasting distress information and asking for help according to the existing level evaluation control system, so that the distress information can be broadcasted and asked for help, the distress level can be evaluated to be A level, B level or C level, the distress condition in the ship can be well known by an external maritime search and rescue center, a corresponding rescue plan is made according to the distress condition in the ship, the plan time required by rescue is shortened, the plan time for making a search and rescue scheme and allocating the search and rescue force of the maritime search and rescue center between the distress condition of the ship and the rescue condition can be effectively shortened, the safety guarantee of distress personnel is enhanced, and the method is worthy of vigorous popularization;

(2) the control system is arranged, the number lamps of the ships are controlled by the control system and give number prompts, distress information broadcasting is carried out according to requirements, A-level requirements indicate that ship distress time signals are broadcasted to the whole ship, ship distress time information is automatically sent to the maritime search and rescue center at the same time, red ship distress information warning lamps are flashed, the information comprises ship positions, damage conditions, intensity analysis graphs and stability analysis graphs, B-level requirements indicate that the ship distress time signals are broadcasted to the whole ship, the ship distress time information is automatically sent to the maritime search and rescue center at the same time, orange distress information warning lamps are flashed, the information comprises ship state analysis reports, the maritime search and rescue center can match search and rescue schemes according to the received reports and allocate required search and rescue force, C-level requirements indicate that the ship safety warning yellow signals are broadcasted to the whole ship, a shipman is kept alert, and further command from the captain is heard, therefore, the ship and the maritime search and rescue center can well send the ship report, so that the maritime organization can timely know the ship condition, the ship distress and the current condition, the waiting time is shortened, and the rescue efficiency and success rate are improved.

Drawings

FIG. 1 is a schematic view of the working process of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more clearly and completely apparent, the technical solutions in the embodiments of the present invention will be described below with reference to the accompanying 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. 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.