90 results about "Ship safety" patented technology

The invention relates to the technical field of ship navigation risk assessment, in particular to a ship navigation risk assessment system based on multi-source heterogeneous data fusion, which comprises a multi-source data integration module, a spatial-temporal feature mapping module, a dynamic risk detection module, a linkage decision control module and a feedback optimization module. According to the method, standardized operation data is generated through multi-source data cleaning and fusion, a spatial-temporal feature distribution map is generated by using a multi-dimensional dynamic clustering algorithm, a risk index set is extracted in combination with adaptive boundary adjustment and a nonlinear optimization algorithm, and accurate path planning and real-time regulation are realized. In addition, a global sensitivity analysis framework and an early warning module are introduced into the system, and the ship navigation safety and reliability are improved. According to the method, the risk prediction accuracy can be remarkably improved, the navigation accident probability is reduced, the navigation efficiency is optimized, and safe operation of the ship is guaranteed.

The invention discloses a dynamic feature and physical gating fused wave height prediction system and method, belongs to the technical field of artificial intelligence and machine learning, is used for marine environment monitoring, and comprises a data acquisition and preprocessing module, a feature screening module and a model prediction module. The method comprises the steps of obtaining and preprocessing marine meteorological variable data, constructing a Shapley additive interpretation lightweight gradient elevator regression model to screen a core variable set, constructing a physical guidance gating feature perception Transform prediction model, constructing a mixed loss function constraint prediction model, and outputting a sea wave significant wave height prediction value after prediction model training is completed. According to the method, through a feature screening and dynamic weight distribution mechanism, the utilization efficiency and scene adaptability of multi-source marine meteorological features are remarkably improved, the method can be flexibly expanded to sea wave prediction tasks of different sea areas and spatial-temporal scales, and high-precision and high-reliability technical support is provided for ocean engineering, shipping safety and disaster early warning.

The invention relates to the technical field of ship safety, and discloses a ship safety management monitoring system based on the Internet and a Beidou satellite, the system comprises a coordinate analysis module, a ship state module, a data fusion module, an abnormity identification module and an early warning message sending module, a satellite positioning signal is analyzed, and real-time latitude and longitude coordinates of a ship are obtained; generating comprehensive operation parameters of the ship according to the attitude, the navigational speed, the load and the main engine operation parameters of the ship; performing data fusion on the longitude and latitude coordinates after timestamp alignment and the comprehensive operation parameters to obtain an operation feature vector of the ship; performing abnormal mode identification on the operation feature vector based on historical navigation data and a preset safety threshold to obtain a risk category of the ship; when a risk category occurs, generating a treatment measure message of the risk category, and sending the treatment measure message to a ship-end display terminal and a shore-based management terminal through communication between the Internet and a Beidou short message; the ship safety management efficiency can be improved.

The invention relates to the technical field of ship safety, in particular to a ship navigation monitoring management system and method based on edge computing, and the system comprises seven cooperation modules: a data collection module synchronously obtains ship multi-source data, and a processing storage module achieves the data compression, marking and storage. The encryption security module completes full-process AES-256 encryption through a hardware encryption chip, the dual-power supply module guarantees stable power supply, the satellite positioning module obtains accurate positioning through Beidou / GPS dual modes, the self-inspection maintenance module monitors faults in real time, and the AI edge calculation unit achieves channel object recognition, track analysis and violation warning through a deep neural network model. According to the method, closed-loop processes of data acquisition, encryption, processing, intelligent analysis and fault handling are completed through module cooperation; the invention aims to solve the problems of high monitoring delay, insufficient data security, unreliable power supply and the like of the existing system.

An orientation fault detection system is configured to detect improper installation of the dynamic active control system (DACS) controller / software module by receiving data output from a plurality of sensors to determine whether an orientation fault is detected corresponding to an improper installation of the controller / software module. Such determination is made based upon sensor data when corresponding environmental and operational conditions are met, so the orientation fault detection system is further configured to determine whether the requisite conditions are met for orientation fault detection based upon the sensor data. If an orientation fault is detected, the orientation fault detection system initiates a safe state protocol that renders the vessel safe to operate.

The invention relates to the field of ship navigation, in particular to a safety analysis method and device for ships connected with elevated cables in waves, electronic equipment and a computer readable storage medium. The method comprises the steps that a ship coupling motion equation set is constructed, and the ship coupling motion equation set comprises force and torque, acting on a first ship and a second ship, of an elevated cable; solving a ship coupling motion equation set based on the set wave data, and obtaining first ship coupling motion data, second ship coupling motion data and elevated cable mechanical data under the set wave data; and determining the safety of the first ship and the second ship based on the first ship coupling motion data, the second ship coupling motion data and the elevated cable mechanical data. According to the safety analysis method and device for the ship connected with the elevated cable in the wave, the electronic equipment and the computer readable storage medium, the technical effect of improving the navigation safety of the ship connected with the elevated cable in the wave can be achieved.

The application discloses a method for generating a safety inspection report of an offshore oil production ship shape of a multimodal large model, relates to the technical field of intelligent generation of ship safety inspection, and first collects an offshore oil production ship image, matches a corresponding safety inspection report, and constructs a data set; subsequently, a multimodal report generation model is constructed, the offshore oil production ship image and the corresponding safety inspection report are input into the model to generate a safety inspection report of an offshore oil production ship shape; subsequently, the model is trained, and after multiple rounds of training, a final multimodal report generation model is obtained; finally, the offshore oil production ship image is input into the final model, and a safety inspection report of an offshore oil production ship shape is output. The application enhances the controllability and pertinence of the content generated by the large language model, improves the accuracy and compliance of the shape safety inspection report, and can be widely applied to scenes such as daily operation management of offshore oil production ships, safety guarantee of ocean navigation, compliance review of ports and ship classification societies, and accident prevention and subsequent maintenance disposal.

This invention relates to a method for predicting ship maneuvering motions under high sea states, comprising the following steps: establishing a three-dimensional numerical model of ship-wave coupling under high sea states based on computational fluid dynamics; installing sensors on the ship to collect real-time motion data of the ship under high sea states, and preprocessing the collected data; extracting feature parameters related to the ship's six degrees of freedom motion based on the preprocessed data; using the feature parameters as input, constructing a ship maneuvering motion prediction model using a neural network model, the output of which is the prediction result of the ship's six degrees of freedom motion over a future period; training and validating the prediction model using historical data; inputting the real-time collected data into the trained prediction model to perform real-time prediction of the ship's six degrees of freedom motion; generating ship maneuvering suggestions based on the prediction results; and providing real-time feedback and correction to the model based on the comparison between actual operating data and the prediction results. This invention has the effects of improving prediction accuracy, ensuring ship safety, and improving prediction precision.

The present application relates to a kind of ship navigation risk prediction method, device, electronic equipment and medium, belong to ship safety technical field, wherein, the method includes: the fault tree of ship capsizing is constructed;The fuzzy failure rate of each node in fault tree is calculated;The end value and the median of the range interval of index parameter risk interval table are fitted with correction coefficient, and the risk correction formula between the evaluation index parameter in interval and fuzzy failure rate is obtained;Data extraction is carried out in the range interval of index parameter by Latin hypercube sampling, and multiple sets of index data are obtained, multiple sets of index data are input into the risk correction formula obtained, and multiple sets of risk fuzzy failure rate are input into the preset formula to obtain multiple sets of risk probability data, to obtain sample data;The physical quantity data corresponding to target ship is input into the BP neural network model trained perfectly, and the risk probability value of target ship capsizing is obtained.The present application improves the precision of ship navigation risk prediction.

The invention relates to a carbon dioxide reliquefaction method used in the storage and transportation process, which comprises the following steps: monitoring the pressure in a carbon dioxide storage tank in real time, and when the pressure is higher than a preset threshold value, enabling gaseous carbon dioxide to enter a refrigerating unit through a gas connecting pipeline; the liquefied carbon dioxide is stored in a low-temperature container through a pipeline; when the liquid level in the carbon dioxide storage tank reaches a set value, liquefied carbon dioxide is pumped back to the carbon dioxide storage tank through a liquid spraying system; the supercooled carbon dioxide is directly sprayed into the carbon dioxide storage tank, so that the temperature and the pressure in the carbon dioxide storage tank are reduced, the safety of the carbon dioxide storage tank in the transportation process can be guaranteed, meanwhile, high efficiency, energy conservation, labor conservation and environmental protection are achieved, and the transportation cost is reduced. According to the method for re-liquefying and recovering the carbon dioxide overflowed by flash evaporation, the loss of the carbon dioxide in the transportation process is reduced, the transportation cost is reduced, zero leakage is realized, carbon dioxide leakage is avoided, and ship safety and environmental protection are guaranteed.

The application provides a ship field supervision knowledge graph construction method and device and electronic equipment, the method comprises the following steps: constructing an ontology model and a knowledge base of a ship field supervision knowledge graph, and extracting target project class entities from the knowledge base; determining to-be-fused entities in the target project class entities, and corresponding Jaccard coefficient similarity, Jaro-Winkler similarity and uSIF similarity; inputting the similarity into a knowledge fusion model to obtain a result of whether to fuse; the knowledge fusion model is obtained by training based on an XGBoosT model; in the case of needing to fuse, performing entity attribute completion and association alignment on the to-be-fused entities to obtain knowledge fusion data; and mapping the ontology model to the knowledge fusion data to obtain a ship field supervision knowledge graph. The application can assist maritime law enforcement personnel in decision-making in ship field inspection, and make ship safety supervision work informatized, intelligentized and specialized.

The invention provides an inland river intersection water area intelligent cooperative scheduling method based on multi-model fusion, and belongs to the technical field of inland river intelligent shipping. A three-degree-of-freedom ship kinematics model is adopted to define a ship safety distance, and a state space and an action space are defined; designing a multi-objective mixed reward function; the MADDPG algorithm architecture is improved, and the LSTM is introduced to enhance the time sequence processing capability; a centralized training and distributed execution training mode is adopted, an Actor network processes time sequence data at high frequency, a Critic network provides global value evaluation, and cooperative ship selection and multi-ship cooperative training are combined to improve the cooperative scheduling capability of ships in a complex dynamic environment; a simulation test is carried out based on AIS data, and a scheduling effect is verified by using a reward function, a collision rate, an average speed and an action change stability index. According to the method, the problem of ship scheduling in the inland river intersection water area can be solved, so that efficient dynamic scheduling optimization is realized.

The invention relates to the technical field of windscreen wipers for ships, and discloses a split screen control method for a windscreen wiper for a ship, which comprises the following steps of: 1, carrying out region division planning on a window of a closed bridge cab, which needs to be provided with the windscreen wiper, and determining a region division scheme; 2, according to the partitioning scheme, an independent windscreen wiper control panel is configured for each partitioned region; step 3, establishing connection between the windscreen wiper corresponding to each area and the windscreen wiper control panel of the area; and 4, independent control operation is conducted on the windscreen wipers in the areas through the windscreen wiper control panels in the areas, and on-demand starting and stopping, speed adjustment and water spraying control of the windscreen wipers in the different areas are achieved. By means of timely and convenient windscreen wiper control, a driver can rapidly respond to various weather and sight changes, the clear view field is kept all the time, the navigation risk caused by sight blocking is reduced, and powerful support is provided for safe navigation of a ship.

The invention belongs to the technical field of hydrogen fuel cell ship safety monitoring, and particularly provides a hydrogen fuel cell ship hydrogen leakage monitoring device arrangement method and system, electronic equipment and a medium, and the method comprises the steps: constructing a space coordinate system in a hydrogen-related cabin, numbering space units discretized at equal intervals, and defining part of hydrogen-containing units as breakable units; setting a mounting plane below the top of the cabin, constructing a coordinate system, discretizing and numbering; a cabin three-dimensional model is constructed, a breakable unit is perforated to obtain a series of models, and a hydrogen dissipation cloud picture is obtained through CFD simulation; setting a concentration threshold value, obtaining the limit moment when the concentration of the mounting plane reaches the threshold value for the first time and the corresponding concentration, and determining the optimal mounting positions of the plurality of hydrogen monitoring sensors through iteration of an arithmetic optimization algorithm. Through CFD simulation and an optimization algorithm, the hydrogen diffusion characteristics are scientifically analyzed, and the arrangement accuracy of the monitoring device is improved.

The invention discloses a high-voltage shore power safety access system and method for a ship danger area. The system comprises a high-voltage shore power connection cabin located in a dangerous area of a midship of a ship, a high-voltage shore power socket connected with a high-voltage shore power access distribution board is arranged in the high-voltage shore power connection cabin, a first multi-parameter safety assembly is arranged on the inner side of the cabin wall of the high-voltage shore power connection cabin, and a first airtight through piece is arranged on the cabin wall of the high-voltage shore power connection cabin; the positive pressure ventilation unit is located in a ship safety area and connected with the high-voltage shore power connection cabin through a ventilation pipeline so as to guarantee that the interior of the high-voltage shore power connection cabin is the safety area. The emergency warning control assembly is arranged on one side outside a cabin door of the high-voltage shore power connection cabin; the central control monitoring unit is electrically connected with the high-voltage shore power access distribution board, the positive-pressure ventilation unit, the first multi-parameter safety assembly and the emergency warning control assembly. According to the invention, the problems of uncontrollable safety risk, mismatching with the layout of an oil wharf and poor adaptability with different ship type scales when a high-voltage shore power system is arranged in a dangerous area can be solved.

The invention discloses an automatic ship pipeline leakage detection method based on thermal imaging machine vision, and relates to the technical field of ship safety monitoring and machine vision detection. Performing gain offset correction and atmospheric transmittance correction on the original radiation value output by the thermal imaging camera to obtain a corrected thermal image; performing adaptive background vibration elimination on the acoustic emission signal to obtain a pure acoustic emission signal, extracting a time-frequency feature of the pure acoustic emission signal, calculating an acoustic emission confidence coefficient, and generating a spatial prior probability distribution diagram; performing thermal anomaly detection based on the spatial prior probability distribution diagram and calculating a joint confidence coefficient, and extracting a thermal anomaly contour sequence when a judgment condition is met; and performing thermal plume spatio-temporal evolution curve fitting on the thermal anomaly contour sequence, and executing time inversion to realize leakage source positioning and confirmation. According to the invention, the accuracy and reliability of ship pipeline leakage detection are improved.

The invention relates to an intermittent mud throwing method for construction of gravel and sand-mixed soil by a trailing suction dredger. Comprising the following steps that S1, a drag suction dredger slows down to a designated position of a mud throwing area before reaching the designated mud throwing area, and after reaching the mud throwing area, a top wind flow is selected according to the wind flow condition to control the position of the dredger, and the speed of the dredger is reduced to zero; s2, the mud doors with odd numbers or even numbers are controlled to be slowly and synchronously opened, the opening stroke of the mud doors is controlled in the mud door opening process, multiple pauses are conducted in the initial stage of mud door opening, and when the working conditions that the cabin capacity is gradually reduced, the earthwork volume in the cabin is gradually reduced and the ship draft is also slowly reduced are observed, the mud doors are stopped; the mud doors are opened to a mud throwing state; and S3, other mud doors are slowly and synchronously opened, the opening stroke of the mud doors is controlled in the mud door opening process, multiple pauses are conducted in the initial stage of opening of the mud doors, and then the mud doors are opened to be in the mud throwing state. The ship body shaking and noise during mud throwing are relieved, the ship safety is guaranteed, and the impact loss is reduced.

The application provides a ship emergency exercise virtual simulation interaction method, device, equipment and medium, solves the technical problems of insufficient environment authenticity, low cooperation efficiency, insufficient immersion, single evaluation and poor system expansibility in traditional exercises through three-dimensional virtual environment construction, multi-person cooperative interaction, dynamic scene generation and intelligent team evaluation technology. The method is suitable for crew team training, maritime rescue cooperative exercise and ship safety verification, and can significantly improve the team emergency response capability and training efficiency.

% Disclosed is a non-probabilistic model-based intelligent reliability assessment method for corrosion damage to a ship hull structure. The method includes: collecting corrosion data of the ship hull structure, and performing interval processing on the data through an embedded data processing system to obtain a mean and deviation of a residual corrosion thickness; determining a resistance of the ship hull structure through hull structure resistance calculation software; measuring external load data such as wind and wave loads, sailing speed, and cargo's center of gravity, and determining external loads based on geometric characteristics of the ship hull structure; establishing a failure function and simulating a failure mode of the ship hull structure in a failure analysis module; and solving a non-probabilistic reliability index of the ship hull structure through an interval variable normalization algorithm, and displaying an assessment result and giving an early warning through a ship safety management system.

The invention provides a mobile boarding monitoring system and a safety monitoring method thereof, and relates to the technical field of ship safety management. The system comprises a follow-up monitoring terminal, a boarding channel sensing unit, an edge computing control box, a ship-shore integrated management platform and a mobile terminal APP, and the follow-up monitoring terminal adapts to dynamic displacement of the gangway ladder through a three-axis holder follow-up mechanism. The multi-mode sensor group of the follow-up monitoring terminal and the pressure sensing array of the boarding channel sensing unit realize multi-mode data acquisition, and the edge computing control box completes local AI reasoning and early warning. The monitoring method comprises the whole process of system initialization, personnel identity pre-verification, boarding behavior monitoring, severe working condition enhanced monitoring and data archiving, and data cannot be tampered in combination with block chain evidence storage. According to the invention, monitoring blind areas are eliminated, automatic identity verification and real-time accurate early warning of abnormal behaviors are realized, harsh working conditions are adapted, ship-shore integrated management and control are achieved, and the automation and intelligence level of safety management of boarding operation is improved.

The application provides a ship video recording condensation and intelligent retrieval method and system based on an edge node, and belongs to the technical field of edge computing. The method comprises the following steps: S1: collecting ship video recording data; S2: generating condensed video and metadata by an improved Gaussian mixture model, an improved DeepSORT algorithm and a dynamic condensation ratio adjustment algorithm; S3: synchronizing index information of the condensed video and the metadata by each edge node through a publish-subscribe mode; S4: training a lightweight intelligent retrieval model through a knowledge distillation algorithm; S5: calling the lightweight intelligent retrieval model to match corresponding condensed video segments and returning a retrieval result; and S6: collecting feedback information of the retrieval result and performing incremental optimization on the lightweight intelligent retrieval model through an elastic weight consolidation algorithm. The application realizes efficient monitoring management through an edge localization processing+cross-node cooperation+closed-loop optimization architecture, and meets the actual needs of ship safety monitoring and operation management.

The invention relates to the technical field of amphibious ship safety control, in particular to an amphibious ship water entry safety sensing and early warning method and system based on fluid-structure interaction simulation, and the method comprises the steps: building a three-phase fluid-structure interaction numerical model of the amphibious ship water entry process, and introducing a contact force source item of a tire and the ground at an interface of a solid domain and a fluid domain; performing multi-working-condition simulation based on the three-phase fluid-solid coupling numerical model, constructing a simulation data feature vector sample set, and training a risk discrimination model through the simulation data feature vector sample set; integrating the risk discrimination model to a shipborne real-time early warning system, obtaining the motion state of the amphibious ship and surrounding water level information in real time, carrying out risk grade determination through the risk discrimination model, and executing a corresponding early warning strategy according to the output risk grade. Through fusion of high-precision off-line simulation and shipborne real-time perception, online identification and active early warning of the water entry risk can be realized, and the safety and controllability of the amphibious ship under the complex water entry working condition are improved.

The invention discloses a multi-objective optimization method for a ship organization scheme, relates to the technical field of ship port entry and exit organization and multi-objective optimization, and aims to solve the problems of single consideration factor, one-sided target and low solving efficiency of an existing method, and the method comprises the following steps: S1, selecting total waiting time TWT, total energy consumption TEC and total economic cost TC of a ship as optimization objectives; respectively giving out three calculation formulas; s2, constructing an optimization model with the minimum three as a target, wherein the model needs to meet the constraints such as the number of ships in a harbor area, the waiting duration of a single ship, the in-harbor duration, the navigation continuity, the time window of going to the harbor and the safety interval of the ships; s3, outputting a Pareto solution set through the steps of initial solution adjustment, constraint verification and the like by adopting a multi-target optimization algorithm fusing NSGA-II and an improved direct search algorithm; and S4, algorithm solution is realized based on MATLAB programming, and a ship organization scheme set is obtained.According to the method, multiple factors can be comprehensively considered, a multi-dimensional optimal scheme is output, and scheduling timeliness and practicability are improved.

The invention belongs to the technical field of marine environment forecasting, and discloses a maximum wave height forecasting method based on a wave energy spectrum and a deep learning model, and the method comprises the steps: obtaining historical actual measurement maximum wave height and historical actual measurement or forecast wave energy spectrum density data, and carrying out the standardization preprocessing of the historical actual measurement maximum wave height and historical actual measurement or forecast wave energy spectrum density data; energy spectrum zero moment is calculated through numerical integration, and the significant wave height is obtained according to a physical formula; constructing a deep learning model, taking the standardized energy spectrum as input, and taking a nonlinear transformation value of a ratio of an actually measured maximum wave height to an effective wave height obtained by a formula as a training target training model, so that the model learns nonlinear mapping from the energy spectrum to a target variable; and inputting a standardized energy spectrum to be forecasted into the model to obtain a transformation value forecasting result, obtaining a wave height ratio forecasting value through inverse transformation, and multiplying the wave height ratio forecasting value with the effective wave height to output a final maximum wave height forecasting value. The energy spectrum information is fully utilized, the forecasting precision is improved, the extreme sea condition forecasting performance is particularly improved, and the method can be widely applied to the fields of ocean engineering, shipping safety and disaster early warning.

The application provides a high-risk ship safety self-check questionnaire generation method, device and equipment and a storage medium, relates to the technical field of high-risk ship detection, and comprises the following steps: selecting a target ship detection investigation question bank based on a high-risk ship type; dividing the target ship detection investigation question bank into a core investigation question set and a polling investigation question set; selecting at least part from each polling investigation question set in the at least one polling investigation; and generating the ship detection investigation questionnaire. Through the setting of the core question bank and the polling question bank, the core investigation question set is answered in each self-check process, and the polling period is set for the polling question, so that the rationality of the self-check investigation is improved, the problems of low efficiency, non-outstanding focus and easy formality in the traditional self-check method are successfully solved, a more intelligent, efficient and scientific safety self-check tool is provided for the high-risk ship, and thus the essential safety level of the ship can be significantly improved.

The invention discloses a multi-unmanned ship safe affine formation control method and system based on local perception, and the method comprises the following steps: building a dynamic model of an unmanned ship, and outputting the resultant velocity and yawing angular velocity information of the unmanned ship; constructing a kinematic model of the unmanned ship for outputting the position and orientation angle information of the unmanned ship; estimating unknown dynamics of each unmanned ship; establishing an auxiliary variable conversion model of each unmanned ship, wherein the auxiliary variable conversion model is used for converting the position of the under-actuated unmanned ship to a virtual point position in a resultant velocity direction; establishing an unmanned ship kinematics controller; constructing a safety function of a control obstacle function based on a Gaussian process, and realizing optimization of a guidance signal; constructing a linear differential tracker, and outputting an optimized guidance signal estimated value and an optimized guidance signal derivative estimated value; and constructing an unmanned ship dynamics controller, and updating the surging direction control input force and the yawing angle direction input torque of the unmanned ship to realize the affine formation control process control of the unmanned ship.

The invention provides a safety monitoring system and a key circuit based on a trigger mode in a scene with difficulty in power supply, realizes quick response to capture and obtain external signals, carries out information transmission in an ad hoc network relay mode, and realizes a ship safety monitoring system composed of passive sonar and a magnetic resistance sensing network in detail.

The invention relates to the technical field of ship safety maintenance and emergency treatment, and discloses a ship liquid ammonia pipeline planned emptying and emergency discharge recovery system and method.The ship liquid ammonia pipeline planned emptying and emergency discharge recovery system comprises a fuel supply system to be emptied and a recovery system executing emptying; the to-be-emptied fuel supply system comprises a liquid ammonia storage tank, and the liquid ammonia storage tank is connected with a fuel supply unit through a low-pressure pump and a first pipeline in sequence; a pipeline network with the liquid ammonia storage tank, the fuel supply unit, the fuel valve set unit, the reliquefaction unit and the three-phase separator as the core is constructed, and the planned emptying process of a fuel supply system pipeline is achieved by operating a first adjusting valve and a fourth adjusting valve and cooperating with the reliquefaction unit; and the gas-liquid separation tank and the recovery tank are taken as the core, independent recovery pipe networks connected with relief ports of safety valves of all equipment are connected, and the system is responsible for receiving and treating emergently released media so as to realize gas-liquid separation and respective treatment.

This invention relates to the field of ship safety communication technology, and particularly to an emergency broadcast multi-signal identification triggering method and system, comprising: acquiring raw signal data from multiple heterogeneous signal sources, and acquiring a preprocessed signal sequence corresponding to each signal source based on the raw signal data; acquiring the signal periodic characteristics and signal dynamic characteristics of each signal source based on the preprocessed signal sequence; acquiring a single-channel discrimination score based on the signal periodic characteristics and signal dynamic characteristics of the signal source, and acquiring a valid signal source based on the single-channel discrimination score; and acquiring a joint discrimination score of multiple signal sources based on the valid signal sources. This invention can effectively distinguish between real event signals and vibration-induced pseudo-signals in complex sea conditions and complex accident scenarios, providing a more accurate basis for response decision-making for ship emergency broadcast systems, thereby optimizing the situational awareness and emergency response accuracy of ship emergency broadcast systems.

The application discloses a ship environment multi-parameter intelligent wireless monitoring system based on LoRa, acquires environment state data and ship operation auxiliary data through a data acquisition module, pre-processes and standardizes the collected data through a data processing module, obtains a standardized data frame, calculates a single parameter safety score, a comprehensive safety index and a safety situation level SL through an environment safety quantization module, dynamically selects a communication strategy according to the SL and a current link quality through an intelligent LoRa communication module, generates and sends a safety data packet, receives the safety data packet through a LoRa gateway, carries out redundancy filtering and adds received metadata, forms and uploads a final data record, visually displays and stores data of the final data record through a data center, and generates a network optimization instruction based on network performance data, so that the problem that transmission reliability, real-time performance and low power consumption cannot be considered simultaneously in ship environment monitoring is solved, and the intelligent level of ship safety management is improved.