630 results about "Crew" patented technology

The invention relates to a ship safety monitoring method, system and device based on data fusion, and relates to the technical field of ship navigation safety, and the ship safety monitoring method comprises the steps: collecting multi-source heterogeneous data; preprocessing the multi-source heterogeneous data; carrying out fusion processing on the multi-source heterogeneous data based on an information entropy theory; a ship safety domain model is constructed, trajectory prediction is executed, a collision risk index is calculated, and the ship collision risk is evaluated; and performing anomaly detection on the ship equipment operation data based on manifold learning and a thermodynamic model. According to the invention, a multi-source heterogeneous data fusion technology is adopted, multi-dimensional data sources are integrated, and omnibearing ship safety situation awareness is constructed. The early warning time is prolonged to 8-10 minutes, which is far better than the early warning time of 3-5 minutes in the prior art. The system thoroughly solves the problem that subsystems in a traditional ship monitoring system operate independently and do not communicate with one another, the crew information acquisition cost is reduced, and the number of times of interactive operation is reduced by 42%.

The invention relates to a wharf sensing method and system based on data fusion of a laser radar and a camera, and the method comprises the steps: firstly employing a fisheye camera to shoot a checkerboard calibration plate at multiple angles, employing a Zhang's calibration method to calculate an internal reference matrix and a distortion coefficient of the fisheye camera, and synchronously collecting the data of the laser radar and the camera in real time; the method comprises the following steps: performing distortion removal processing on a camera image, calculating an external parameter matrix between a laser radar and a camera through a feature extraction algorithm, a feature point matching algorithm and a nonlinear optimization algorithm, and performing data fusion through an internal parameter matrix, the external parameter matrix and a bilinear interpolation method to generate fusion point cloud data with color information; and finally, identifying a key target of the wharf by marking and training a CNN model, and calculating three-dimensional parameters of the key target by adopting a specific calculation method, so that a sailor can quickly distinguish the target in the fused point cloud data, the accuracy and efficiency of wharf environment perception are remarkably improved, and accurate environment perception and decision support are provided for ship berthing and departing operation.

The embodiment of the invention discloses an adaptive alignment cross-modal vision-language ship intelligent man-machine interaction method. The method comprises the following steps: extracting target image objects semantic representation and position information corresponding to each object from a visual image acquired by a ship-borne visual sensor; extracting a text token semantic representation from a corresponding language instruction of the visual image, and calculating a text summary representation; performing in-mold alignment operation on the extracted text token semantic representation; carrying out intra-mode and inter-mode interactive alignment on the extracted image token semantic representation; performing compression and integration on the text token semantic representation information of the fine granularity, and fusing the text semantic representation and the cross-modal image objects semantic representation; and projecting the fusion features, constructing a loss function, and obtaining a target related to a language instruction and a position thereof, so that a sailor can conveniently perform real-time man-machine interaction with an intelligent identification scene in a cruising process, the intelligence and operation efficiency of a ship are improved, and the next intelligent decision can be better performed.

The invention discloses a crew workload evaluation method and system based on multi-source data fusion, and the method comprises the steps: 1, carrying out the collection of multi-source data, and enabling the multi-source data to comprise objective data and sensory monitoring data; 2, performing feature extraction on the multi-source data; 3, based on the physiological data and the sensory monitoring data, performing feature layer fusion and decision-making layer fusion; and step 4, visualizing the workload evaluation result to present the real-time workload level of the sailors, and when the workload index exceeds a preset threshold value, triggering an early warning prompt to remind the sailors and managers to pay attention to the fatigue risk. According to the method, multi-source heterogeneous data are comprehensively utilized, comprehensive and accurate evaluation and real-time visual presentation of the load state of the sailors are achieved, an effective early warning mechanism is constructed, and the method has important application value in the aspect of improving the working safety and the working efficiency of the sailors.

The invention provides a shipborne intelligent network security protection architecture and method, and relates to the technical field of network security, and the architecture comprises a security domain division module which is used for dividing a shipborne network into three physically isolated security domains, including a key task domain, an operation management domain and a crew life domain; the longitudinal protection strategy module is used for generating a longitudinal strategy comprising a protection instruction, a communication control instruction and a risk quantification instruction based on the security domain structure; and the risk calculation module is used for detecting intra-domain equipment access behaviors by trapping addresses in the key task domain, collecting intra-domain network traffic and service unit logs, and outputting a service asset quantized value, a vulnerability severity quantized value and a threat behavior deviation degree according to a risk quantization instruction. According to the invention, accurate identification, graded response and efficient disposal of shipborne network threats are realized, and the safety of a ship key system is guaranteed.

The invention discloses a ship ballast water pressure loading and unloading control system based on a large model. The ship ballast water pressure loading and unloading control system is used for improving intelligence and efficiency of ship ballast water operation. According to the system, firstly, data such as ship navigation states, ballast water tank water levels and ship body postures are collected in real time through a multi-source sensor; analyzing and reasoning the collected data in the trained large neural network model; the large model outputs an optimal control strategy for ballast water loading and unloading, and the decision control module generates a specific execution instruction to drive a valve or a pump or other devices to complete ballast unloading actions. The system is also provided with a man-machine cooperation interface and a feedback mechanism, and the model can be finely adjusted and optimized according to a sailor instruction or real-time feedback information. Compared with a traditional control method, the method has the advantages that ship stability, energy efficiency and environmental protection requirements are fused through a large model, a ballast scheme can be automatically adjusted, rapid and efficient ballast replacement is achieved, and ship navigation safety and economical efficiency are remarkably improved.

The intelligent shore power pile comprises an intelligent shore power pile body and a supporting sliding base, and the intelligent shore power pile body is connected with a shore power pile power line and a charging connector; a supporting structure is connected to the supporting sliding seat, the supporting structure is connected to the intelligent shore power pile, two lifting lead screws and a linkage sliding seat are connected to the supporting structure, and a lifting structure is connected to the two lifting lead screws; according to the intelligent shore power pile, when a ship reaches the shore and needs to use the intelligent shore power pile, the lifting motor can be started to control the intelligent shore power pile to ascend and descend, then the pushing motor is driven to control the ascended and descended intelligent shore power pile to horizontally move, and therefore the intelligent shore power pile can be moved to the ship, and sailors can complete connection with shore power only on the ship; the intelligent shore power pile does not need to run back and forth between the shore and a ship, the operation process is greatly simplified, the lifting height of the intelligent shore power pile can be adjusted according to the height of the ship, and the intelligent shore power pile can better adapt to ships with different heights.

The invention provides a rotating speed self-adaptive control method and device for a marine diesel engine, and relates to the technical field of rotating speed control, and the method comprises the steps: carrying out the ship route fitting according to the shipping scheduling of a diesel engine driven ship, and obtaining a voyage sequence; carrying out load change calculation to obtain a local load sequence; taking the voyage time consumption constraint as a distribution constraint, carrying out voyage time consumption distribution optimization, and obtaining a local time consumption sequence; performing navigational speed optimization to obtain a target navigational speed sequence; performing diesel engine rotating speed coupling calculation according to the target navigational speed sequence to obtain a diesel engine rotating speed control sequence; and performing self-adaptive dynamic regulation and control on the diesel engine driven ship by adopting the diesel engine rotating speed control sequence. The technical problems that in the prior art, the rotating speed of the diesel engine is adjusted by crew according to experience, a refined automatic control mechanism is lacked, and the change of ship load environment conditions cannot be dynamically responded, so that the operation efficiency and the energy consumption of the whole voyage are difficult to be optimal are solved.

The invention relates to the technical field of ship fairlead devices, in particular to a vibration and noise reduction fairlead of an anchor windlass, which comprises a main support, a side support is fixedly arranged on the main support, a lower support is fixed at the bottom of the side support, an adaptive deflection mechanism is arranged on the lower support, and an inclined roller is arranged on the adaptive deflection mechanism. A surface cleaning mechanism is arranged in the main support; in the process of using the cable for traction, when the guiding direction changes, the cable collides with the inclined rollers on the two sides, and during collision, yielding is achieved through deflection of the adaptive deflection mechanism, so that the impact action time is effectively prolonged, the peak impact force is reduced, the supporting sleeve is prevented from being broken under the action of torsion, and the service life of the cable is prolonged. Meanwhile, vibration caused by collision between the mooring rope and the fair lead is prevented, the situation that the mooring rope is broken or the connecting position of the fair lead is loosened due to vibration is avoided, noise generated when the fair lead is used is reduced through vibration reduction, and the body health of sailors is protected.

The invention relates to the technical field of crew recruitment, in particular to a crew recruitment management system and method, and the system comprises a post working condition segmentation module, a qualification matching module, a node deviation evaluation module, a post compliance judgment module and a collaborative urging module. According to the invention, through item-by-item comparison of qualification information and operation parameters, the post matching precision is improved, difference conversion is carried out in combination with operation records and environmental conditions, a capability consumption evaluation chain is constructed, capability deviation monitoring of post adaptation results is enhanced, and a node deviation ratio is screened according to tolerance, so that accurate compliance elimination is realized. The problem that the quality is qualified but the capability is unbalanced is avoided, read timestamps of multiple terminals are collected, a time difference threshold value is set, the urging priority sequence is divided, the response efficiency and the cooperation fluency are improved, structural expression, quantitative evaluation and dynamic control serve as the core in the whole processing process, the matching efficiency is enhanced, personal errors are reduced, and a closed-loop efficient recruitment process is formed.

The invention discloses a method and a system for reporting sailor monitoring data information. The method comprises the following steps: acquiring multiple pieces of ship state data; performing hierarchical processing on the collected state data; identifying and predicting a ship behavior mode and a communication demand, and dynamically adjusting the transmission priority of each type of state data based on the communication demand; dynamically judging a data transmission path through an intelligent decision engine according to the transmission priority; according to network conditions and transmission priorities of various state data, the method is characterized by comprising the following steps: determining spectrum allocation on a transmission path of the transmission priorities of the various state data; and detecting a communication condition in real time, and when the communication condition accords with a transmission condition, transmitting the data in the edge cache in batches. Through intelligent layering and priority management, the data transmission efficiency and reliability are optimized, and the safety of sailors is guaranteed.

The invention discloses a sailor workload adaptive prediction method based on multi-source heterogeneous data fusion. The method comprises the following steps: acquiring physiological feature data of sailors to obtain the current physiological load of an individual; obtaining an individual physiological load prediction value in the next time period based on the current physiological load of the individual and the physiological load parameters at the historical moment; acquiring the navigation environment data of the ship where the crew is located in the next time period, and obtaining the comprehensive pressure level of the navigation environment where the crew is located in the next time period; and inputting a causal reasoning graph model based on the comprehensive pressure level of the sailing environment in which the sailors are located in the next time period and the individual physiological load prediction value in the next time period, and predicting the workload level of the sailors. According to the method, the physiological feature data, the historical physiological load parameters and the navigation environment data of the sailors are collected and fused, the working states of the sailors are comprehensively reflected in multiple dimensions, and the information amount and the comprehensive analysis capacity of the prediction model are improved.

The invention discloses a ship positioning virtual training system based on a sextant simulator. Comprising a 3D modeling reproduction module, a data setting module for setting virtual positioning practice data, a simulation scene construction module for setting a marine virtual training scene, an interactive training module and a positioning model construction module for acquiring an astronomical positioning model and a landmark positioning model. And the comprehensive evaluation storage module is used for acquiring result data and operation grade scores of each operation training stage, and obtaining a virtual training result of ship navigation positioning according to the constructed astronomical positioning model or landmark positioning model based on the result data of each operation training stage. The method solves the problems that traditional manipulation training generally depends on actual ship training, but has certain limitation and problems, due to the reasons that actual ship training is high in cost and high in safety risk, complex navigation environments cannot be truly represented and the like, diversified and flexible operation training scenes are difficult to provide, and the training efficiency is high. And sailors cannot effectively understand and master ship positioning principles, skills and experiences in various complex navigation environments.

The invention provides a ship kitchen wet garbage treatment system and method. The ship kitchen wet garbage treatment system comprises a kitchen wet garbage crusher, a vacuum collection device and a storage cabinet. The kitchen wet garbage crusher, the vacuum collecting device and the storage cabinet are sequentially connected through a pipeline; the storage cabinet is connected with a plurality of discharging pipelines, each discharging pipeline is provided with a remote control gate valve, and the discharging pipelines are used for discharging crushed wet garbage to at least one of outboard facilities, shore facilities and other equipment on a ship; smashed kitchen wet garbage is stored on the storage cabinet through vacuum suction of the vacuum collecting device, so that generation of flushing water is greatly reduced, and loads of the sewage treatment device and the degreaser are reduced; and the storage cabinet is connected with a plurality of discharging pipelines, and each discharging pipeline is provided with a remote control gate valve, so that sailors can flexibly discharge the crushed wet garbage according to different sea area discharging regulations.

The invention discloses a rear mast lamp holder of a pure electric ship, which comprises four mast steel pipes, the bottoms of which are respectively connected with a fixed guide rail bridge of a box-type battery at the rear part of the ship; a bent part is arranged in the middle of each mast frame steel pipe, so that the top ends of the mast frame steel pipes are intersected and connected to form a mounting platform of the rear mast lamp; the mast frame reinforcing supporting pipes are connected with the adjacent mast frame steel pipes in the horizontal direction so as to enhance the overall strength of the mast frame. According to the arrangement mode of the rear mast lamp holder, an existing structure is effectively utilized, the arrangement space of a tail deck can be saved, the goods damage space is reduced, the weight can be reduced, the construction and material cost is reduced, the stability performance of the rear mast lamp holder is improved, and sailors can conveniently maintain the rear mast lamp holder in the later period.

The invention discloses a sleep environment adjustment method and device based on multi-sensory cooperative regulation and a storage medium, and the method comprises the steps: obtaining sleep event data of a crew in an underwater sealed vehicle, and carrying out the sleep state prediction, and obtaining the sleep state information; performing sleep quality evaluation based on the sleep state information to obtain a sleep quality score; under the condition that the sleep quality score does not reach a preset score threshold value, an electrocardiosignal of a sailor is obtained; heart rate variability analysis is conducted according to the electrocardiosignals, and heart rate variability characteristic parameters are generated; performing sleep stage division based on the heart rate variability characteristic parameters to obtain sleep stage information; the sleep environment of the sailors is adjusted based on the sleep stage information, sleep state prediction is carried out through cooperation of multi-sensory data, sleep quality evaluation can be accurately carried out, then the sleep stage of the sailors with poor sleep quality is analyzed, the sleep environment of the sailors is adjusted, the sleep quality of the sailors can be effectively improved, and the sleep experience of the sailors can be improved.

A large ship safety supervision system, configured to realize shipmen monitoring and ship safety supervision, wherein shipmen monitoring comprising monitoring of real time positions of shipmen in cabins and shipmen health data, and ship safety supervision comprises oceanic condition warning, on board devices running condition monitoring, ship navigation / construction monitoring and ship remote guidance. Data transmission in between ships and shores is realized by the hybrid self-adaptive compression technology based on model classification and the data transmission link intelligent selection technology based on fuzzy neural network creatively, in the meanwhile, real time safety management and supervision and ship remote work analysis and guidance can be realized.

The invention relates to an AI intelligent management platform for maintenance of ship safety lifesaving emergency equipment. The AI intelligent management platform comprises a front-end function system and a rear-end storage system. The front-end function system comprises a sailor training module, an intelligent inspection module, a third-party maintenance supervision module and the like. Wherein the sailor training module adopts a panoramic VR camera to carry out live-action shooting on a scene on a ship, a virtual reality (VR) technology is applied to provide real scene boarding experience, sailors are helped to remotely realize immersive ship visiting, and a real ship environment is comprehensively understood; through the combination of videos and characters, skill training of sailors before on-ship work is provided. The sailors can remotely realize immersive ship visiting through the sailors training module, comprehensively understand the actual ship environment and remarkably improve the practical operation skills of the sailors; the personalized training path system customizes an exclusive training plan for each sailor through AI algorithm intelligent analysis according to the post demand, experience level and skill weakness of the sailor, and achieves the precision and high efficiency of training.

The utility model relates to the field of silencing, discloses a marine exhaust pipeline silencing device, and solves the problem that an existing marine exhaust pipeline silencing device is poor in filtering effect. By combining multi-stage noise reduction and filtration, noise generated when a diesel engine set exhausts is remarkably reduced, impurities in waste gas are effectively purified, the holes in the shape of a circular truncated cone and multiple layers of sound insulation are adopted, and by means of combined use of the sound absorption plate, the ceramsite plate, the cotton block and the felt plate, smooth circulation and efficient filtration of the waste gas are guaranteed; and noise transmission is greatly weakened, a quieter and healthier working environment is provided for sailors, meanwhile, the requirement for environmental protection is met, and the overall performance and comfort of the ship are improved.

The invention belongs to the field of traditional Chinese medicines, and relates to a traditional Chinese medicine composition for treating insomnia and a preparation method and application thereof. The traditional Chinese medicine composition for treating insomnia disclosed by the invention is derived from a classic famous prescription combination, and provides an effective prescription for solving the problem of insomnia of marine navigation personnel, so that the health guarantee ability of people such as navy long-voyage and underwater navigation officers and soldiers, marine exploration personnel, fishermen and ocean crew in China is improved.

A large ship safety supervision system, configured to realize shipmen monitoring and ship safety supervision, wherein shipmen monitoring comprising monitoring of real time positions of shipmen in cabins and shipmen health data, and ship safety supervision comprises oceanic condition warning, on board devices running condition monitoring, ship navigation / construction monitoring and ship remote guidance. Data transmission in between ships and shores is realized by the hybrid self-adaptive compression technology based on model classification and the data transmission link intelligent selection technology based on fuzzy neural network creatively, in the meanwhile, real time safety management and supervision and ship remote work analysis and guidance can be realized.

The invention discloses a ship crew working state monitoring method, and belongs to the technical field of ship control. The method comprises the following steps: acquiring environmental data of a ship and physiological data and behavior data of a target crew in the ship; performing time-frequency analysis on the environment data, the physiological data and the behavior data to obtain state time-frequency characteristics of the target crew; performing fusion time sequence modeling based on the state time-frequency characteristics to obtain a working state model of the target crew; the working state model is called to adjust early warning rules, the working state parameters are evaluated through the adjusted early warning rules, the working state monitoring result of the target crew is obtained, the early warning rules comprise a threshold rule, a trend rule and an association rule, and the working state parameters are obtained based on the physiological data and the behavior data. According to the method, by fusing time sequence modeling and dynamically adjusting the early warning rule, the early warning accuracy and practicability are improved, and a powerful guarantee is provided for safe operation of the ship.

A system for sailing training includes at least one tuning parameter of a sailboat which can be set to multiple positions; a camera mounted on the sailboat for recording a video of a current position of the at least one tuning parameter; a mobile computing device for controlling the camera; an app executing on the mobile computing device for analyzing the position video of the at least one tuning parameter of the sailboat and for determining in real-time using AI how to modify the current position of the tuning parameter to maximize performance of the sailboat; and a notification generated by the mobile computing device for alerting a sailor to the preferred tuning parameter position.

The invention discloses a centralized ventilation structure of an ammonia fuel power ship, which comprises a plurality of ammonia gas accumulation areas, and each ammonia gas accumulation area is provided with an ammonia gas ventilation outlet and a ventilation system for discharging accumulated ammonia gas to the ammonia gas ventilation outlet; a centralized ventilation area is arranged on a ship deck on the broadside, and the centralized ventilation area is defined by a plurality of enclosure bulkheads. Ammonia gas ventilation outlets of all the ammonia gas accumulation areas are formed in the centralized ventilation area; the concentrated ventilation area is provided with an air outlet for exhausting air to the outside of a ship board; and a channel for exhausting air outwards in the centralized ventilation area is only an air outlet for exhausting air towards the outside of a ship board. The range of an ammonia fuel poisonous area is reduced, sailors can live and work more safely in a deck area, and then the operation risk of an ammonia fuel ship is reduced.

The invention discloses a navigation aid information real-time transmission and analysis system based on a navigation mark, and relates to the field of navigation mark telemetering, the system is composed of a plurality of functional modules, and the system comprises a data acquisition module for acquiring dynamic data, meteorological data and hydrological data of ships near the navigation mark; the edge calculation module is used for generating a ship real-time track according to the ship dynamic data, obtaining a ship prediction track based on the ship real-time track and the hydrological data, and calculating a deviation degree based on a preset ship channel and the ship prediction track; the risk prediction module carries out risk analysis on the deviation degree according to meteorological data and carries out route adjustment according to a risk analysis result, and the route adjustment module generates an optimized route by applying an A * algorithm and considering ship dynamic constraint and channel limitation and then sends an instruction in time through the VHF radio module, so that risks of ship deviation from a channel, collision and the like are effectively avoided; the safety of sailors, ships and goods is greatly guaranteed.

The invention relates to the technical field of ship intelligent management, and provides a ship control management method and system based on intelligent analysis, and the method comprises the steps: S1, deploying designated equipment, including data collection equipment, in a divided region of a ship, so as to monitor the operation environment of the ship and the behaviors of sailors in real time, and collect corresponding ship data; s2, the ship control terminal and the ship equipment realize cooperative work to receive ship data, carry out data two-way transmission with a shore command center or surrounding ships, receive and send an instruction and carry out remote monitoring; and S3, the ship control terminal receives and analyzes the ship data, identifies a safety warning in real time, evaluates an operation risk and generates a corresponding response measure. The problems that an existing ship management system is low in data exchange speed and limited in risk prediction and automatic response capacity are solved, the automation level of ship operation and the accuracy of real-time risk assessment are remarkably improved, and the safety and efficiency of ship operation are effectively enhanced.

The embodiment of the invention relates to the field of intelligent ship planning, and discloses a ship man-machine collaborative planning method, device and equipment and a storage medium, and the method comprises the steps: obtaining the historical ship configuration information of different types of ships; constructing a shipping labor knowledge graph according to the historical ship configuration information; performing difference analysis by using the shipping labor knowledge graph to obtain difference reason analysis information, and updating the shipping labor knowledge graph; obtaining target ship configuration information of the target optimized ship; analyzing the target ship configuration information by using the updated shipping labor knowledge graph, and generating a plurality of candidate ship equipment replacement schemes; and optimizing each candidate ship equipment replacement scheme to obtain an optimal candidate ship equipment replacement scheme. According to the method disclosed by the invention, the problem that ship man-machine cooperation resources are difficult to reasonably plan is solved, comprehensive and intelligent optimization analysis is carried out on the ship man-machine cooperation scheme, and efficient, safe and low-cost crew substitution planning is realized.

The invention belongs to the technical field of ship rolling motion early warning, and discloses a method for constructing a forecasting and early warning model for accidental excessive rolling motion, and the model comprises a data collection module, a data processing module, a state estimation module and a forecasting and early warning module. The construction method of the model comprises the following steps: collecting ship motion data and sea condition data in real time based on a ship motion sensor; preprocessing the collected ship motion data and sea condition data, and constructing an input module of the ship intelligent sensing system; establishing a ship motion adaptive response model under all working conditions and all sea conditions; and a forecasting and early warning mechanism of accidental excessive rolling motion is established. According to the construction method of the forecasting and early warning model for the accidental excessive rolling motion, the forecasting and early warning model for the accidental excessive rolling motion is established, the excessive rolling of the ship is forecasted and early warned in advance, the ship navigation safety under the severe sea condition is improved, timely decision support is provided for sailors, and the safe navigation of the ship is guaranteed.

The invention discloses a GIS cross-space-time analysis robot for autonomous ship navigation situation safety, and the robot comprises a navigation situation safety GIS cross-space-time analysis end which achieves the cross-space-time monitoring, prediction and evaluation of the navigation situation safety based on the data information of the positions in different time and spaces in the ship navigation process, achieves the intelligent navigation of a ship, and achieves the real-time monitoring, prediction and evaluation of the navigation situation safety. The danger existing in the ship navigation process is evaluated; the shore-based remote intelligent control end is used for acquiring real-time data information in the ship operation process transmitted by the navigation situation safety GIS cross-space-time analysis end, integrating, visually displaying and storing navigation situation safety information of multiple space-time dimensions, and responding to emergency situations and accidents to be dealt with by the ship; and the mobile intelligent display terminal provides different warnings and is used for reminding and informing sailors of the current ship navigation safety situation and displaying and issuing the ship information and situation information in the ship driving process.

The marine mushroom-shaped ventilator capable of being automatically opened and closed comprises an air duct, an air cap, a screw rod and a fixing frame, and the lower end of the screw rod is arranged on the fixing frame in a penetrating mode; an upper cover plate is arranged above the hood, and a ventilation opening part is arranged at the top of the hood; a weather tight hopper is arranged between the top of the air duct and the ventilation opening part of the air cap; a rainwater receiving opening is formed in the top of the weather tight hopper; a spring is arranged between the weather tight hopper and the fixing frame; the screw rod penetrates through the upper cover plate, the weather tight hopper and the spring; and a water escape valve is arranged at the bottom of the hood. The device is convenient to use, and can automatically close the air funnel without the need of a sailor to reach the air funnel position for operation under the conditions of severe sea conditions and a large amount of water, seawater cannot enter a cabin, and the safety of the sailor and a ship is guaranteed.