Method for determining and ensuring minimum safe manning of a ship based on dynamic capability assessment

Abstract

The application discloses a kind of based on dynamic capability evaluation ship minimum safety crew determination and guarantee method, the method includes: determining target navigation task, constructs benchmark safety crew model;Audit the automation and intelligent level of target ship, assess the replacement ability of intelligent system to traditional manual post, generate ship intelligence capability portrait;Based on benchmark safety crew model and ship intelligence capability portrait, calculate dynamic minimum safety crew scheme by crew reduction algorithm;Verify whether the actual crew configuration of current target ship meets or is superior to dynamic minimum safety crew scheme;If meet, run safety boundary dynamic monitoring system in the process of navigation, dynamically adjust automation level and personnel responsibility according to real-time navigation situation, and trigger early warning and emergency plan when personnel capability mismatch or system failure occurs.The application can realize the change from static crew standard to one-ship one-strategy dynamic crew, and guarantee the ship navigation safety under the condition of few people operation.

Description

Technical Field

[0001] This invention relates to the field of intelligent ships, and in particular to a method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment. Background Technology

[0002] With the deep integration of artificial intelligence and the shipping industry, the operation of intelligent coastal vessels with reduced or even unmanned crews has become an important research direction. The core challenge in achieving reduced crew lies in how to scientifically determine the minimum safe maneuvering and ensure navigational safety even with fewer personnel. This is not only of great economic significance for reducing labor costs and improving operational efficiency for shipping companies, but also a key technological support for promoting shipping technology innovation and ensuring the safety of life and property at sea.

[0003] Currently, research in this field is mainly focused on two directions: one is static manning standards based on international conventions and national regulations, which have the advantage of being binding, but lack consideration for the level of ship intelligence and are not flexible enough; the other is exploring unmanned technologies that allow intelligent systems to completely replace crew members, but this direction has high technical barriers and lagging regulations, making it difficult to apply on a large scale in the short term.

[0004] The significant shortcomings of existing methods are as follows: First, manning decisions are disconnected from the actual automation and intelligence capabilities of ships, making it impossible to achieve precise "one ship, one policy" configuration, resulting in resource waste or safety risks; second, there is a lack of a systematic methodology that connects "static manning assessment" with "dynamic navigation safety assurance," failing to form a closed loop from configuration decisions to real-time monitoring; finally, existing safety boundary methods focus more on the environment and the ship itself, neglecting the real-time perception and capability compensation of the key element of "people" (especially the status of remaining crew members). Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment. This method transforms the decision-making of minimum safe manning from relying on static regulations to a dynamic calculation and continuous assurance process based on the specific automation capabilities and real-time operational status of the target ship.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: In a first aspect, the present invention provides a method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment, the method comprising: The target navigation mission is determined, and a baseline safe manning model is constructed based on historical data and risk assessment models. The baseline safe manning model clarifies the minimum roles, number, and core competency requirements of the crew members required to perform the target navigation mission. Audit the level of automation and intelligence of the target vessel, assess the ability of intelligent systems to replace traditional manual positions, and generate a profile of the vessel's intelligent capabilities. Based on the benchmark safe manning model and the ship's intelligent capability profile, the dynamic minimum safe manning scheme for the target ship to perform the target navigation mission is calculated through the manning reduction algorithm; Verify whether the current crew configuration of the target vessel meets or exceeds the dynamic minimum safe manning scheme; If the conditions are met, a dynamic safety boundary monitoring system will be operated during navigation. The dynamic safety boundary monitoring system will dynamically adjust the level of automation and personnel responsibilities according to the real-time navigation situation, and trigger early warnings and emergency plans when personnel capabilities are mismatched or system failures occur, so as to ensure the safe operation of the target vessel under the dynamic minimum safe manning scheme configuration.

[0007] Based on the above technical solution, a baseline safe crew allocation model is constructed, including: Determine the crew size of the target vessel for carrying out the target navigation mission. : ; In the formula, For ship type and tonnage-based crewing parameters, For the complexity of the flight area, correction factor, As a regulatory amendment factor; The functional resonance analysis method is used to identify key functional nodes and potential risks in the target navigation mission, and the comprehensive risk score is calculated according to the following formula. : ; In the formula, Functional risk weighting coefficient; For the first i The mutation probability of each functional node For the first j The mutation probability of each functional node This refers to the number of functional nodes; The coefficient of variation is the functional variation. Functional weights; Functional coupling strength; A comprehensive environmental risk score; Risk-enhanced staffing requirements are calculated using the following formula. : ; In the formula, Risk conversion factor determined based on vessel type; Generate a baseline safe crewing model : ; In the formula, The availability coefficient of search and rescue personnel. For safety correction factors; Then assign personnel to different positions. Calculate according to the following formula: ; In the formula, The risk sensitivity coefficient for the job position; Assign a specific risk score for this position; Correcting historical data for job positions.

[0008] Based on the above technical solution, a profile of the ship's intelligent capabilities is generated, including: Establish an intelligent system capability evaluation index system covering the perception and decision-making layer, the control and execution layer, and the operation and maintenance support layer, with corresponding intelligent systems for each layer; The intelligent systems already equipped on the target vessel are scored, and the substitution capability index for each position is calculated according to the following formula: ; In the formula, For the position The index of substitutability; For the first j The position was filled by the first i Intelligent system replacement capability For the first i The weight of each intelligent system; The intelligence capability index for each position is calculated using the following formula: ; In the formula, For the position j The intelligence capability index As the weight of the system capability index, As the weight of the application capability index, As a substitute for the capacity index weight, This is a system capability index. As an application capability index, The index is the ability to substitute. A ship intelligence capability profile is generated based on the intelligence capability index of each position. The ship intelligence capability profile is a collection of intelligence capability indices for all positions.

[0009] Following the above technical solution, a dynamic minimum safe crewing scheme is calculated using a crew reduction algorithm, including: Based on the corresponding intelligence capability index in the ship's intelligence capability profile for each job responsibility, the job position is determined according to the following formula. j Dynamic staffing : ; In the formula, For the position j Number of personnel in the baseline security model For the position j The intelligence capability index For the position j The minimum number of people required for safety; Considering the synergistic substitution effect of intelligent systems on multiple job positions, the job cluster substitution degree is calculated according to the following formula. : ; In the formula, For job clusters, For the first j The substitutability of each job position Indicates job position j In the cluster Functional contribution in; The cluster optimization and reduction algorithm calculates the safe crew allocation for the cluster according to the following formula. : ; in, For the position j The baseline number of members in the cluster.

[0010] Following the above technical solution, verify whether the current actual crew configuration of the target vessel meets or exceeds the dynamic minimum safe manning scheme, including: A three-level verification mechanism was established to verify the actual crew configuration in terms of quantity, capability, and status. Quantity verification checks whether the actual number of crew members meets the requirements of the dynamic minimum safe manning plan. Capability verification assesses the matching degree between individual professional skills and job requirements and whether the team's capabilities meet the standards based on the capability matrix. Status verification monitors the fatigue and health status of the crew members. The verification is approved when the actual crew configuration meets or exceeds the requirements of the dynamic minimum safe manning scheme in terms of the number of personnel, job type, and individual ability. When mismatches exist, improvement priorities are determined based on the size of the gap, the importance of the position, and the urgency of the task. Based on the verification results, improvement measures suggestions and a verification report containing detailed data, analysis results, and improvement suggestions are generated. The verification report is visualized through charts and graphs.

[0011] Following the above technical solution, the operation method of the dynamic monitoring system for security boundaries includes: Real-time monitoring of the ship's overall safety status, and calculation of the ship's overall safety score according to the following formula. : ; In the formula, Indicates environmental risk score, This indicates the equipment status score. Indicates the personnel status score. This indicates the operational risk score. , , , These are dynamic weighting coefficients that are adaptively adjusted according to the navigation phase. The system integrates a personnel status monitoring module to obtain the fatigue level, attention level, and emergency response time of crew members in key positions. When abnormal personnel status or decreased response capability is detected, the system increases the level of conservatism of automation and requests assistance from the remote support center to achieve dynamic safety compensation based on personnel capabilities. Monitor changes in the actual crew configuration of the target vessel, trigger an early warning when the actual crew configuration deteriorates or changes too rapidly, and dynamically adjust the manning plan or voyage plan based on real-time monitoring results.

[0012] Following the above technical solution, the safety boundary dynamic monitoring system has a built-in emergency plan library based on scenario recognition. When an early warning or emergency plan is triggered, the system selects an emergency plan that matches the current navigation situation through an emergency plan matching algorithm. The system then makes personalized adjustments to the selected emergency plan based on the real-time navigation situation and the actual capabilities of the crew, and monitors and optimizes the execution process of the emergency plan. The safety boundary dynamic monitoring system also has a built-in natural human-computer interaction module based on a language big model, which is used to: simplify the operation process and provide decision support through an intelligent voice assistant when the crew reduction leads to an increase in the workload of a single person; and automatically generate natural language instructions and reports in emergency situations to reduce the cognitive load of crew members and improve the efficiency of handling situations with low crew size.

[0013] Following the above technical solution, after calculating the dynamic minimum safe manning scheme, the manning reduction rate is adjusted according to real-time environmental risks, task complexity, and weather conditions, and the degree of risk increase of the dynamic minimum safe manning scheme compared with the baseline safe manning model is evaluated.

[0014] In a second aspect, the present invention provides a computer device / apparatus / system, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the first aspect.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program / instructions stored thereon, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0016] Compared with existing technologies, this invention breaks through the traditional static manning model by establishing a dynamic intelligent manning model, achieving precise configuration from a "one-size-fits-all" approach to a "one-ship-one-policy" approach. Through multi-source fusion safety monitoring, it integrates multi-dimensional data such as equipment status, personnel behavior, and environmental conditions to achieve early risk identification and dynamic adjustment of automation levels in minimally manned scenarios. By real-time sensing of the status of crew members in key positions and providing dynamic safety compensation, it overcomes the shortcomings of traditional methods that ignore changes in personnel capabilities. Simultaneously, through intelligent contingency plan matching and personalized adjustment mechanisms, it effectively improves the efficiency of emergency response and handling in low-manning scenarios. Furthermore, the system possesses adaptive learning and continuous optimization capabilities, gradually improving the safety and economy of minimally manned operations. In summary, this invention provides a reliable guarantee for the safe and efficient operation of coastal intelligent vessels with minimal manning. Attached Figure Description

[0017] Figure 1 This is a flowchart of a method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment, according to an embodiment of the present invention. Figure 2 This is a hardware and software configuration diagram according to an embodiment of the present invention; Figure 3 This is a flowchart of the regulatory baseline staffing calculation according to an embodiment of the present invention; Figure 4 This is a dynamic monitoring diagram of the security boundary according to an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. All other embodiments obtained by those skilled in the art based on the embodiments provided by this invention without inventive effort are within the scope of protection of this invention.

[0019] Obviously, the accompanying drawings described below are merely some examples or embodiments of the present invention. Those skilled in the art can apply the present invention to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this invention, modifications to design, manufacturing, or production based on the technical content disclosed in this invention are merely conventional technical means and should not be construed as insufficient disclosure of the present invention.

[0020] In this invention, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this invention may be combined with other embodiments without conflict.

[0021] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "a," "an," "an," "the," and similar words used in this invention do not indicate quantity limitation and may indicate singular or plural. The terms "comprising," "including," "having," and any variations thereof used in this invention are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms "connected," "linked," "coupled," and similar words used in this invention are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "A plurality" used in this invention refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships may exist; for example, "A and / or B" can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects have an "or" relationship. The terms "first," "second," and "third" used in this invention are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0022] This invention provides a scientific, dynamic, and closed-loop verifiable method for determining and ensuring minimum safe manning for coastal intelligent ships. The core of this method lies in transforming the decision-making process for minimum safe manning from relying on static regulations to a dynamic calculation and continuous assurance process based on the specific automation capabilities and real-time operational status of the target ship. The advantages of this method are: A dynamic intelligent manning model was designed: breaking through the traditional static manning mode, a dynamic manning algorithm based on the dual assessment of the ship's intelligence level and navigation risks was established, realizing the transformation from "one-size-fits-all regulations" to "one policy for each ship", and accurately optimizing human resource allocation under the premise of ensuring safety.

[0023] Achieve multi-source integrated security monitoring: Integrate multi-dimensional data such as equipment status, personnel behavior, and environmental conditions to construct a dynamic calculation model of security boundaries that is collaborative between "human-machine-environment," enabling early identification and warning of risks in scenarios with fewer human personnel and intelligent adjustment of automation levels.

[0024] Adaptive learning optimization mechanism: By continuously training and improving crewing algorithms and safety thresholds through navigation data, the system has the ability to self-evolve and gradually improve the balance between safety and economy in minimally staffed operations.

[0025] The present invention provides a method for determining and ensuring minimum safe manning of coastal intelligent ships based on dynamic capability assessment, comprising the following steps: S1. Determine the target navigation mission and, based on historical data and risk assessment models, construct a baseline safe crewing model for that mission. The benchmark safe crewing model Clearly define the minimum roles, number, and core competency requirements for the necessary crew members; S2. Audit the automation and intelligence level of the target vessel, assess its intelligent system's ability to replace traditional manual positions, and generate a profile of the vessel's intelligent capabilities. ; S3. Based on the aforementioned benchmark safe crew allocation model Profiling Ship Intelligent Capabilities By using a crew reduction algorithm, the dynamic minimum safe crewing scheme for the ship to perform this mission is calculated. ; S4. Verify the current actual crew configuration on board the ship. Does it meet or exceed the minimum dynamic safe crewing scheme? ; S5. If satisfied, a dynamic safety boundary monitoring system will operate in real time during navigation. This system can dynamically adjust the level of automation and personnel responsibilities based on the real-time situation, and trigger early warnings and emergency plans in case of personnel mismatch or system failure, to ensure safety. Run securely under the configuration.

[0026] In step S1, a baseline safe crewing model is constructed. The methods include: Based on the mandatory manning requirements of relevant International Maritime Organization (IMO) conventions, flag state laws and regulations, and classification society rules for the aforementioned target navigation mission (such as navigation area, route, and vessel type), the manning base number is determined as follows: .

[0027] Functional resonance analysis (FRAM) was used to identify critical functional nodes and their potential risks in the navigation mission. A requirements analysis was conducted on redundant safety positions exceeding mandatory requirements, resulting in a recommended crew size. .

[0028] The benchmark safe crewing model for and The synthesis, that is Job competency matrix.

[0029] The audit of the ship's automation and intelligence level in step S2 includes: establishing a set of intelligent system capability evaluation indexes covering the perception and decision-making layer, control and execution layer, and operation and maintenance support layer; and scoring the intelligent systems already equipped on the ship (such as intelligent collision avoidance, engine room automation, and remote support) through on-site testing, data interface verification, and historical operation log analysis, quantifying their substitutability for various traditional crew duties (such as lookout, helmsman, and engineer). The aforementioned ship intelligent capability profile Substitution for all duties A set of.

[0030] The crew reduction algorithm in step S3 is as follows: ; Its specific meaning is: for the benchmark model For each position in the system, the degree to which its responsibilities can be replaced by an intelligent system is... Then the position is in The probability or extent to which something can be reduced is positively correlated with... ;according to It clearly identifies the key human resource positions that must be retained and their new responsibilities after integration.

[0031] In step S4, the current crew configuration is verified. Does it meet the requirements? ,include: The existing crew members on board will undergo a job competency suitability assessment. The assessment methods include, but are not limited to: assessing their knowledge level through an online question-and-answer system, assessing their emergency response skills through a simulator, and monitoring their physiological state through wearable devices to assess their ability to continue performing their duties.

[0032] Only when It meets or exceeds the requirements in all three dimensions: number of personnel, job type, and individual ability. The verification will only be approved if the requirements are met.

[0033] The operation method of the dynamic monitoring system for the security boundary in step S5 includes: Construct a dynamic safety boundary determination and protection process to monitor the ship's overall safety status S in real time; The system is specially integrated with a personnel status monitoring module to obtain real-time information on the fatigue level, attention level, and emergency response time of crew members in key positions; When a decrease in responsiveness or abnormal personnel status is detected due to a reduction in personnel, the system automatically increases the level of conservatism in automation and requests assistance from the remote support center in advance, thereby achieving dynamic safety compensation based on real-time personnel capabilities.

[0034] The dynamic monitoring system for security boundaries incorporates a natural human-computer interaction module based on a large language model, used for: When the reduction in staff leads to an increase in the workload of a single person, intelligent voice assistants can be used to simplify the operation process and provide decision support. In emergency situations, it automatically generates concise and accurate natural language instructions and reports, reducing the cognitive load on crew members and improving the efficiency of handling situations with low manning.

[0035] Specifically, such as Figure 1 As shown in the figure, the method for determining and ensuring the minimum safe manning of coastal intelligent ships based on dynamic capability assessment according to an embodiment of the present invention includes the following steps: S1. Determine the target navigation mission and, based on historical data and risk assessment models, construct a baseline safe crewing model for that mission. The benchmark safe crewing model Clearly define the minimum roles, number, and core competency requirements for the necessary crew members.

[0036] S2. Audit the automation and intelligence level of the target vessel, assess its intelligent system's ability to replace traditional manual positions, and generate a profile of the vessel's intelligent capabilities. .

[0037] S3. Based on the aforementioned benchmark safe crew allocation model Profiling Ship Intelligent Capabilities By using a crew reduction algorithm, the dynamic minimum safe crewing scheme for the ship to perform this mission is calculated. .

[0038] S4. Verify the current actual crew configuration on board the ship. Does it meet or exceed the minimum dynamic safe crewing scheme? .

[0039] S5. If satisfied, a dynamic safety boundary monitoring system will operate in real time during navigation. This system can dynamically adjust the level of automation and personnel responsibilities based on the real-time situation, and trigger early warnings and emergency plans in case of personnel mismatch or system failure, to ensure safety. Run securely under the configuration.

[0040] Further, the method of step S1 in this embodiment of the invention includes: S11. Construct a multi-dimensional deconstruction model of the navigation mission, and decompose mission elements using spatiotemporal risk topology analysis. A data fusion engine, based on basic parameters such as ship size, type, tonnage, and deadhead, connects to meteorological databases, pirate report databases, and AIS historical trajectory databases. Key factors are extracted to output risk weight coefficients.

[0041] S12. Construct a dynamic risk assessment model and design a risk-capability mapping function: ; in, For the first i The mutation probability of each functional node For the first j The mutation probability of each functional node; The coefficient of variation is the functional variation. Functional weights; The functional coupling strength is denoted as , where The functional risk weighting coefficient is (0.6-0.8). Comprehensive environmental risk assessment Risk-enhanced staffing demand formula: ; in, This is the risk conversion coefficient, determined based on the ship type.

[0042] S13. Generate a baseline safe crewing model M 0, achieving triple intelligent optimization. Among them, the regulatory benchmark staffing layer ( Calculation formula: ; in For ship type and tonnage-based crewing parameters, For the complexity of the flight area, correction factor, As a flag state regulation amendment factor, the baseline safe manning model Integrated formula: ; in The availability coefficient of search and rescue personnel. This is a safety correction factor.

[0043] Formula for calculating staff allocation by job position: ; in, The risk sensitivity coefficient for the job position; Assign a specific risk score for this position; Correcting historical data for job positions.

[0044] Further, the method of step S2 in this embodiment of the invention includes: S21. Constructing an intelligent system classification and evaluation system, the audit of the automation and intelligence level of the target ship is characterized by establishing a multi-level intelligent system classification and evaluation system. The ship's intelligent systems are divided into three major categories: perception and decision-making layer, control and execution layer, and operation and maintenance support layer. Each category contains specific intelligent system modules. The perception and decision-making layer includes environmental perception systems, intelligent navigation systems, collision avoidance decision-making systems, etc.; the control and execution layer includes autopilot systems, engine room automation systems, intelligent berthing systems, etc.; the operation and maintenance support layer includes equipment health management systems, energy efficiency optimization systems, remote support systems, etc.

[0045] S22. Construct a quantitative model of job substitutability: ; in, Indicates job position j The comprehensive substitution capacity index, For system weights, For the first i The position was the first j System substitution capability.

[0046] S23. Generate a visual representation and diagnostic analysis report of the intelligent capability profile: ; in, These are the weights of the system capability index, the application capability index, and the substitution capability index, respectively. This is a system capability index. As an application capability index, As a substitute capability index, For the position j The intelligence capability index.

[0047] Further, step S3 of this embodiment of the invention includes: S31. Establish a mathematical model for crew reduction that considers safety redundancy, where the minimum safe crew constraint is: ; in, For the position j The number of personnel in a dynamic scheme. For the position j Number of personnel in the baseline model, For the position j The minimum number of people required for safety.

[0048] S32. Considering the synergistic substitution effect of intelligent systems on multiple job positions, design the job cluster substitution degree: ; in Indicates job position j Functional contribution in the position, For the first j The substitutability of each job position.

[0049] Cluster optimization and reduction algorithm: ; in Assign safe members to the cluster.

[0050] Through the above optimizations, a collaborative effect of intelligent substitution across different job roles can be achieved.

[0051] S33. Adjust the reduction rate based on real-time environmental risks, task complexity, and weather conditions, establish a safety verification system for dynamic staffing schemes, and assess the degree of risk increase of dynamic schemes compared to baseline schemes.

[0052] Further, step S4 of this embodiment of the invention includes: S41. Establish a quantitative matching verification function based on set theory, and design a professional skills verification method based on the capability matrix to assess whether individual and team capabilities meet the standards, and verify the actual crew configuration on the current ship. Does it meet or exceed the minimum dynamic safe crewing scheme? .

[0053] S42. Establish a comprehensive scoring model integrating intelligent certificate verification, timeliness checks, and multi-dimensional verification results. Design intelligent diagnosis and improvement suggestion schemes for verification issues, identify key positions with insufficient quantity and inadequate capabilities, and determine improvement priorities based on the size of the gap, the importance of the position, and the urgency of the task. Automatically generate specific improvement measures suggestions based on the verification results, including personnel adjustments, training arrangements, and equipment configuration.

[0054] S43. Design a dynamic and continuous monitoring mechanism to monitor the actual crew configuration on board the ship based on real-time data. Changes trigger warnings when the situation deteriorates or changes too rapidly, and crewing plans or voyage plans are dynamically adjusted based on real-time monitoring results.

[0055] Further, step S5 of this embodiment of the invention includes: S51. Constructing the overall system architecture and operating mechanism: The dynamic monitoring system for the safety boundary is characterized by establishing a three-layer architecture system of multi-source perception, intelligent decision-making, and dynamic control. This system operates in real time during navigation, integrating multi-source information such as ship sensor networks, intelligent systems, and manual input to construct a complete navigation situational awareness capability, and dynamically adjusting the level of automation and personnel responsibilities based on real-time risk assessment results.

[0056] S52. Establish a security boundary quantification algorithm based on multi-dimensional risk assessment and design a dynamic adjustment strategy for automation level.

[0057] ; in, Indicates environmental risk score (meteorology, sea conditions, traffic density, etc.); This indicates the equipment status score (reliability of critical systems, fault warning, etc.). Indicates personnel status rating (fatigue level, stress resistance, collaboration efficiency, etc.); This indicates the operational risk score (navigation complexity, mission load, etc.). , , , These are dynamic weighting coefficients that are adaptively adjusted according to the navigation phase.

[0058] S53. Establish an emergency plan database and dynamic generation mechanism based on scenario recognition, select the emergency plan that is most similar to the current scenario and has the best effect, and implement an emergency plan matching algorithm; personalize the plan template according to the specific scenario and actual capabilities, and monitor and optimize the execution process.

[0059] S54. Generate and visualize verification reports, and establish a complete verification report generation system: generate complete reports containing detailed data, analysis results, and improvement suggestions; and intuitively display the verification results of each dimension through charts to facilitate rapid decision-making.

[0060] The safety boundary dynamic monitoring system of this invention ensures navigation safety with minimal human intervention by establishing an intelligent real-time monitoring and dynamic control mechanism. It offers the following significant advantages: comprehensive situational awareness—integrating multi-source information to construct a complete navigation safety situational profile; precise control and response—achieving precise control of automation levels and personnel responsibilities based on quantitative models; proactive anomaly detection—achieving early identification and warning of abnormal states through multi-indicator monitoring; intelligent emergency response—generating personalized emergency plans based on scenario matching to improve handling effectiveness; and adaptive system evolution—possessing self-learning capabilities and continuously optimizing operational strategies. This technical solution provides crucial technical support for the safe operation of intelligent ships with minimal human intervention, possessing broad application prospects and significant practical value.

[0061] like Figure 2 As shown, the implementation of this invention requires the following hardware support: Shipborne intelligent terminal: adopts industrial-grade computer, equipped with Intel i7 processor, 16GB memory, and 1TB solid-state drive; Sensor networks include radar sensors, AIS receivers, weather sensors, and equipment condition monitoring sensors. Personnel status monitoring equipment: including wearable fatigue monitoring devices and in-cabin surveillance cameras; Communication equipment: satellite communication terminal, 4G / 5G wireless communication module; Display terminals: multi-functional display screen on the driver's console, mobile terminal.

[0062] Software system architecture, such as Figure 2 As shown, it includes: Data acquisition layer: Collects data from sensors such as radar, AIS, and meteorology, as well as personnel status, equipment status data, and environmental situation data; Data processing layer: Implements data cleaning, fusion, and feature extraction functions, and uses the Kalman filtering algorithm for data optimization; Intelligent decision-making layer: includes core modules such as staffing calculation engine, risk assessment model, and safety monitoring algorithm.

[0063] like Figure 3 As shown, the baseline safe crewing model The construction includes: (1) Task Feature Extraction. Input basic parameters such as ship type, tonnage, navigation area, and cargo type. Calculate the route complexity index: analyze channel curvature and intersection density based on electronic nautical chart data. Assess the environmental risk coefficient: combine historical meteorological data and real-time weather forecasts.

[0064] (2) Calculation of staffing based on regulatory standards and calculation of staffing for enhanced risk. The functional resonance analysis method is used to identify key risk nodes and calculate enhanced staffing requirements.

[0065] (3) Model integration and verification. The accuracy of the model is verified by backtesting historical data to ensure the reliability of the M0 model.

[0066] Intelligent capability profile The intelligent system audit process includes: system function detection, automatically detecting the availability and performance status of each intelligent system; substitution capability assessment, evaluating the degree to which each system can replace traditional human roles; reliability verification, verifying system reliability through fault injection testing; and profile generation algorithm, using a weighted comprehensive scoring method to generate a capability profile encompassing multiple dimensions such as system performance, reliability, and integration.

[0067] The crew reduction algorithm calculates the dynamic crew allocation scheme. Actual configuration verification was conducted, establishing a three-level verification mechanism: Quantity verification: checking whether the actual number of personnel was sufficient. Requirements; Competency verification: assess the match between crew members' professional skills and job requirements; Status verification: monitor crew members' fatigue and health status.

[0068] like Figure 4 As shown, the dynamic monitoring of the safety boundary includes: environmental risk indicators such as visibility, wind force, wave height, and traffic density; equipment status indicators such as failure rate of major systems and performance deviation; personnel status indicators such as fatigue index, stress level, and collaboration efficiency; and an early warning triggering mechanism that sets multi-level early warning thresholds, triggering graded early warnings when the safety score falls below the corresponding threshold.

[0069] The following specific embodiments illustrate the effects of the present invention: Example 1: Coastal container ship navigation with fewer crew members.

[0070] Ship parameters: 5000TEU container ship, gross tonnage 50,000 tons; Sailing mission: Shanghai-Ningbo coastal route, 12 hours; IMO original manning: 17 people (1 captain, 1 chief mate, 1 second mate, 1 third mate, 2 steers, 1 chief engineer, 1 first engineer, 1 second engineer, 1 third engineer, 2 engineers, 2 seamen, 2 lookouts, 1 serviceman). Intelligent capability profile : 0.84 (highly intelligent); Dynamic crew allocation 10 people (a reduction of 41%) Among them, there is one captain – responsible for overall command and decision-making; One first mate, one second mate, and one third mate -- the intelligent navigation system replaces the deputy shift leader; One chief engineer, one first engineer, and one second engineer – engine room automation replaces the engine room positions; One electrical / electronics technician – responsible for intelligent system maintenance; One sailor - operating automated equipment; One service staff member – also in charge of logistics; Key areas for intelligent alternatives: automated driving systems reduce the need for bridge watchkeeping; unmanned engine room technology reduces engine room watchkeeping; intelligent mooring reduces deck personnel.

[0071] Verification result: Security verification passed, security score 0.82.

[0072] Example 2: Coastal passenger roll-on / roll-off ship navigation.

[0073] Ship parameters: Passenger ro-ro ship; Flight mission: Qingdao-Dalian route, flight time 8 hours; IMO safety manning: 20 people (1 captain, 1 chief mate, 1 second mate, 1 third mate, 2 steers, 1 chief engineer, 1 first engineer, 1 second engineer, 1 third engineer, 2 engineers, 2 seamen, 2 lookouts, 4 service personnel). Intelligent capability profile Pv: 0.81 (medium intelligence); Dynamic crew allocation 15 people (reduced by 25%) Among them, there is one captain—who commands the entire ship; One first mate, one second mate, and one third mate – intelligent shift system in shifts, while reducing working hours; One chief engineer, one first engineer, one second engineer, and one third engineer—remote monitoring of the engine room; Passenger Service Supervisor (1 person) – Passenger Service Management; Three service personnel – assisted by the intelligent ticketing system; Two sailors – operating automated loading and unloading equipment; One electrical and electronic technician – for intelligent system maintenance; Key aspects of intelligent substitution: Passenger self-service systems reduce service personnel; intelligent berthing systems reduce the need for sailors; integrated monitoring platforms optimize duty schedules; Verification result: Security verification passed, security score 0.81.

[0074] System maintenance and upgrades; establish a regular maintenance system: Daily: System self-check and data backup; Weekly: Sensor calibration and algorithm optimization; Monthly: Comprehensive system check and version update.

[0075] This invention is not only applicable to newly built smart ships, but can also be used to upgrade existing ships by adding smart terminals and sensors, making it highly applicable to widespread adoption.

[0076] In addition, the present invention also provides a minimum safe manning system for coastal intelligent ships to implement the above method embodiments, comprising: Central database: stores regulations, ship data, crew files, and historical mission data; Crew calculation engine: used to run the baseline safe crewing model. Audit of ship intelligence capabilities and dynamic minimum safe manning scheme Calculation; Ship intelligence capability audit module: used to assess and generate the ship's intelligence capability profile. ; Crew competency verification module: used to assess the current crew configuration. right Compliance; Dynamic safety boundary monitoring system: used to perform real-time safety assurance during navigation.

[0077] Among them, the crew calculation engine and dynamic safety boundary monitoring system can be deployed on a shore-based cloud platform and work in collaboration with the ship-side system through ship-shore communication, so that shipping companies can centrally manage and optimize the operation of multiple ships with fewer personnel.

[0078] In summary, this invention discloses a method for determining and ensuring the minimum safe manning of coastal intelligent vessels based on dynamic capability assessment. The method includes the following steps: First, based on the target navigation mission, and combining historical data and a risk assessment model, a baseline safe manning model is constructed for that mission, clarifying the minimum roles, number, and core competency requirements of the required crew members. Second, the automation and intelligence level of the target vessel is audited, assessing the ability of its intelligent system to replace traditional manual positions, forming a vessel intelligence capability profile. Third, based on the baseline safe manning model and the vessel intelligence capability profile, a minimum dynamic safe manning scheme for the vessel to perform the mission is calculated using a manning optimization algorithm. Then, it is verified whether the current actual crew configuration of the vessel meets or exceeds the dynamic minimum safe manning scheme. If it does, a dynamic monitoring and control system for safety boundaries is run in real time during navigation. This system can dynamically adjust the automation level and personnel responsibilities according to the real-time navigation situation, and trigger early warnings and emergency plans when personnel capability mismatches or system failures occur, thereby ensuring operational safety under minimum manning conditions. This invention provides a method for dynamically determining and ensuring the safety boundary of intelligent coastal vessels operating with minimal human intervention, providing systematic support for the safe and efficient navigation of intelligent vessels.

[0079] Furthermore, the present invention also provides a computer device / apparatus / system, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above-described method.

[0080] The present invention also provides a computer-readable storage medium having a computer program / instructions stored thereon, which, when executed by a processor, implement the steps of the above-described method.

[0081] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, systems, and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more blocks of the flowchart illustrations and / or block diagrams.

[0082] These computer program instructions may also be stored in a computer-readable storage medium capable of directing a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more blocks in a block diagram.

[0083] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, thereby providing steps for implementing the functions specified in one or more flowcharts and / or one or more blocks in a block diagram.

[0084] It should be noted that, depending on the implementation needs, the various steps / components described in this invention can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.

[0085] Those skilled in the art will readily understand that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment, characterized in that, The method includes: The target navigation mission is determined, and a baseline safe manning model is constructed based on historical data and risk assessment models. The baseline safe manning model clarifies the minimum roles, number, and core competency requirements of the crew members required to perform the target navigation mission. Audit the level of automation and intelligence of the target vessel, assess the ability of intelligent systems to replace traditional manual positions, and generate a profile of the vessel's intelligent capabilities. Based on the benchmark safe manning model and the ship's intelligent capability profile, the dynamic minimum safe manning scheme for the target ship to perform the target navigation mission is calculated through the manning reduction algorithm; Verify whether the current crew configuration of the target vessel meets or exceeds the dynamic minimum safe manning scheme; If the conditions are met, a dynamic safety boundary monitoring system will be operated during navigation. The dynamic safety boundary monitoring system will dynamically adjust the level of automation and personnel responsibilities according to the real-time navigation situation, and trigger early warnings and emergency plans when personnel capabilities are mismatched or system failures occur, so as to ensure the safe operation of the target vessel under the dynamic minimum safe manning scheme configuration.

2. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 1, characterized in that, Constructing a baseline safe crewing model includes: Determine the crew size of the target vessel for carrying out the target navigation mission. : ； In the formula, For ship type and tonnage-based crewing parameters, For the complexity of the flight area, correction factor, As a regulatory amendment factor; The functional resonance analysis method is used to identify key functional nodes and potential risks in the target navigation mission, and the comprehensive risk score is calculated according to the following formula. : ； In the formula, Functional risk weighting coefficient; For the first i The mutation probability of each functional node For the first j The mutation probability of each functional node This refers to the number of functional nodes; The coefficient of variation is the functional variation. Functional weights; Functional coupling strength; A comprehensive environmental risk score; Risk-enhanced staffing requirements are calculated using the following formula. : ； In the formula, Risk conversion factor determined based on vessel type; Generate a baseline safe crewing model : ； In the formula, The availability coefficient of search and rescue personnel. For safety correction factors; Then assign personnel to different positions. Calculate according to the following formula: ； In the formula, The risk sensitivity coefficient for the job position; Assign a specific risk score for this position; Correcting historical data for job positions.

3. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 1, characterized in that, Generate a profile of the ship's intelligent capabilities, including: Establish an intelligent system capability evaluation index system covering the perception and decision-making layer, the control and execution layer, and the operation and maintenance support layer, with corresponding intelligent systems for each layer; The intelligent systems already equipped on the target vessel are scored, and the substitution capability index for each position is calculated according to the following formula: ； In the formula, For the position The index of substitutability; For the first j The position was filled by the first i Intelligent system replacement capability For the first i The weight of each intelligent system; The intelligence capability index for each position is calculated using the following formula: ； In the formula, For the position j The intelligence capability index As the weight of the system capability index, As the weight of the application capability index, As a substitute for the capacity index weight, This is a system capability index. As an application capability index, The index is the ability to substitute. A ship intelligence capability profile is generated based on the intelligence capability index of each position. The ship intelligence capability profile is a collection of intelligence capability indices for all positions.

4. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 3, characterized in that, The dynamic minimum safe crewing scheme is calculated using a crew reduction algorithm, including: Based on the corresponding intelligence capability index in the ship's intelligence capability profile for each job responsibility, the job position is determined according to the following formula. j Dynamic staffing : ； In the formula, For the position j Number of personnel in the baseline security model For the position j The intelligence capability index For the position j The minimum number of people required for safety; Considering the synergistic substitution effect of intelligent systems on multiple job positions, the job cluster substitution degree is calculated according to the following formula. : ； In the formula, For job clusters, For the first j The substitutability of each job position Indicates job position j In the cluster Functional contribution in; The cluster optimization and reduction algorithm calculates the safe crew allocation for the cluster according to the following formula. : ； in, For the position j The baseline number of members in the cluster.

5. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 1, characterized in that, Verify whether the current actual crew configuration of the target vessel meets or exceeds the dynamic minimum safe manning scheme, including: A three-level verification mechanism was established to verify the actual crew configuration in terms of quantity, capability, and status. Quantity verification checks whether the actual number of crew members meets the requirements of the dynamic minimum safe manning plan. Capability verification assesses the matching degree between individual professional skills and job requirements and whether the team's capabilities meet the standards based on the capability matrix. Status verification monitors the fatigue and health status of the crew members. The verification is approved when the actual crew configuration meets or exceeds the requirements of the dynamic minimum safe manning scheme in terms of the number of personnel, job type, and individual ability. When mismatches exist, improvement priorities are determined based on the size of the gap, the importance of the position, and the urgency of the task. Based on the verification results, improvement measures suggestions and a verification report containing detailed data, analysis results, and improvement suggestions are generated. The verification report is visualized through charts and graphs.

6. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 1, characterized in that, The operation method of the dynamic monitoring system for security boundaries includes: Real-time monitoring of the ship's overall safety status, and calculation of the ship's overall safety score according to the following formula. : ； In the formula, Indicates environmental risk score, This indicates the equipment status score. Indicates the personnel status score. This indicates the operational risk score. , , , These are dynamic weighting coefficients that are adaptively adjusted according to the navigation phase. The system integrates a personnel status monitoring module to obtain the fatigue level, attention level, and emergency response time of crew members in key positions. When abnormal personnel status or decreased response capability is detected, the system increases the level of conservatism of automation and requests assistance from the remote support center to achieve dynamic safety compensation based on personnel capabilities. Monitor changes in the actual crew configuration of the target vessel, trigger an early warning when the actual crew configuration deteriorates or changes too rapidly, and dynamically adjust the manning plan or voyage plan based on real-time monitoring results.

7. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 6, characterized in that, The safety boundary dynamic monitoring system has a built-in emergency plan library based on scenario recognition. When an early warning or emergency plan is triggered, the system selects an emergency plan that matches the current navigation situation through an emergency plan matching algorithm. The system then makes personalized adjustments to the selected emergency plan based on the real-time navigation situation and the actual capabilities of the crew, and monitors and optimizes the execution process of the emergency plan. The safety boundary dynamic monitoring system also has a built-in natural human-computer interaction module based on a language big model, which is used to: simplify the operation process and provide decision support through an intelligent voice assistant when the crew reduction leads to an increase in the workload of a single person; and automatically generate natural language instructions and reports in emergency situations to reduce the cognitive load of crew members and improve the efficiency of handling situations with low crew size.

8. The method for determining and ensuring minimum safe manning of ships based on dynamic capability assessment according to claim 1, characterized in that, After calculating the dynamic minimum safe manning scheme, the manning reduction is adjusted based on real-time environmental risks, mission complexity, and weather conditions, and the degree of risk increase of the dynamic minimum safe manning scheme compared to the baseline safe manning model is evaluated.

9. A computer device / equipment / system, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 8.

Images