A comprehensive treatment system for ship ballast water

Abstract

The present invention relates to the field of ballast water technology, specifically to a ship ballast water comprehensive treatment system, the system includes a ballast water dynamic adjustment module, a ballast water risk management module, a ballast water safety optimization module and a ballast water ecological monitoring module. The present invention, by real-time monitoring of key sea conditions data and ship status, can adjust the ballast water configuration in real time, optimize the balance and operational flexibility of the ship, enable the ship to maintain stability in a changeable marine environment, significantly reduce the additional fuel consumption caused by improper ballast water configuration, and intelligently evaluate the potential risks in ballast water through a Bayesian network. The system can warn of risks in advance and formulate response strategies, thereby improving the safety of the ship. By carefully monitoring and analyzing the biological and chemical components of ballast water, ecological threats can be identified in a timely manner, reducing the risk of cross-regional transmission of harmful organisms and pathogens, and effectively protecting the ecological security and biodiversity of the destination waters.

Description

Technical Field

[0001] The present invention relates to the technical field of ballast water, and in particular to a comprehensive treatment system for ship ballast water. Background Art

[0002] Ballast water technology focuses on the management and treatment of water stored in specific compartments of ships in order to maintain stability, adjust the hull posture or increase the sinking depth. It not only involves ship safety and energy efficiency, but also covers environmental protection and biodiversity protection. Since ballast water is pumped in and out during navigation, it will carry and spread harmful organisms and pathogens. Therefore, an effective ballast water treatment system is crucial to purify ballast water and prevent the spread of pollutants and foreign species.

[0003] Among them, the ship ballast water comprehensive treatment system is designed to ensure the stability of the ship under various navigation conditions, reduce energy consumption, and protect the marine environment. Through the comprehensive use of mechanical filtration, ultraviolet rays, electrochemistry and other technologies, the system can effectively remove harmful organisms and pollutants in ballast water, while optimizing the center of gravity of the ship, reducing navigation resistance, and improving fuel efficiency. This not only helps to ensure the safety performance of the ship, but also helps prevent alien species from invading new environments through the discharge of ballast water.

[0004] Traditional technologies of mechanical filtration and static chemical treatment are inefficient in high-flow or variable environments and cannot effectively capture or neutralize tiny harmful organisms and chemical pollutants, resulting in inadequate implementation of environmental protection and damage to the ecosystem. Traditional systems are unable to adjust the quantity and quality of ballast water in real time, which increases the risk of ship capsizing or instability in the face of sudden sea conditions. The lack of advanced data analysis and risk assessment also makes the existing system incapable of predicting and responding to potential risks, reducing navigation safety and environmental protection. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a comprehensive treatment system for ship ballast water.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: a ship ballast water comprehensive treatment system, the system comprising:

[0007] The ballast water dynamic adjustment module collects the navigation speed and scheduled route information based on the current ballast water volume, real-time tilt angle and sea condition data of the ship, calculates the current ship stability index, and redistributes the ballast water to optimize the balance of the ship and obtain the ballast water balance configuration;

[0008] The ballast water risk management module quantitatively analyzes the potential risks in the ballast water pumping and discharging process based on the ballast water balance configuration, and uses the Bayesian network to evaluate the ballast water treatment risks, implements real-time risk notification, and obtains risk control instructions;

[0009] The ballast water safety optimization module evaluates the potential tilt or capsize risk of the hull based on the risk control instructions and combined with the current sea condition data, conducts a safety level assessment, and automatically adjusts the amount of ballast water pumped in and discharged according to the assessment results, optimizes the ballast water configuration, and obtains safety adjustment information;

[0010] Based on the safety adjustment information, the ballast water ecological monitoring module uses biosensors and chemical sensors to monitor the biological activities and chemical status in the ballast water in real time, analyze biological samples in the water, and identify potential invasive species and pathogens, and then adjust the ultraviolet irradiation or chemical treatment intensity to obtain the ballast water treatment status.

[0011] The present invention is improved in that the steps of obtaining the ballast water balance configuration are specifically as follows:

[0012] Based on the ship's current ballast water volume, real-time inclination angle and sea condition data, combined with the navigation speed and scheduled route information, the formula is used:

[0013] S = k·(v+α·v 2 )·cos(θ) / [1+β·sin 2 (θ)];

[0014] Calculate the dynamic stability index S of the ship, where k is the stability compensation coefficient, v represents the sailing speed of the ship, θ is the hull inclination angle, and α and β are adjustment coefficients, which adjust the secondary effect of speed and the nonlinear response of the inclination angle respectively;

[0015] Based on the dynamic stability index, the operating parameters of the ballast water pump and the valve are adjusted, the distribution of the ballast water is allocated in real time, the balance of the ship is optimized, and the ballast water balance configuration is obtained.

[0016] The present invention is improved in that the steps of quantitatively analyzing the potential risks are specifically as follows:

[0017] Based on the ballast water balance configuration, key operating parameters during the ballast water pumping and discharging process, including flow rate, pressure and temperature, are collected in real time to obtain real-time operation monitoring data;

[0018] Based on the real-time operation monitoring data, the normal range of flow, pressure and temperature is determined using the formula:

[0019] RS i =(XS i -μS i )2 / (2σS i 2 );

[0020] Identify data points outside the normal range and calculate the risk index for each parameter, where RS i is the risk index of parameter i, XS i is the parameter value monitored in real time, μS i is the historical average of parameter i, σS i is the standard deviation of the historical data of parameter i;

[0021] Based on the risk index of each parameter, each identified risk point is quantitatively evaluated, the risk level caused by each abnormal situation is evaluated, and a potential risk quantitative analysis result is obtained.

[0022] The present invention is improved in that the steps of obtaining the risk control instruction are specifically as follows:

[0023] Integrate the real-time monitoring data of the ballast water pump, filter out data noise and outliers, match the Bayesian network input format, and obtain processed input data;

[0024] Based on the processed input data, using the Bayesian network, the formula is adopted:

[0025] P(R|D)=P(D|R)·P(R) / P(D);

[0026] Perform risk assessment and obtain real-time risk assessment results, where P(R|D) is the posterior probability of risk R occurring given data D, P(D|R) is the probability of monitoring data D when risk R occurs, P(R) is the prior probability of risk R occurring, and P(D) is the marginal probability of data D;

[0027] Based on the real-time risk assessment results, real-time risk notification is implemented, including adjusting operating parameters or executing emergency response plans to obtain risk control instructions.

[0028] The present invention is improved in that the steps of performing safety level assessment are specifically as follows:

[0029] Based on the risk control instruction, combined with currently collected sea condition data, including wave height, wind speed and hull inclination angle, a sea condition and hull data set is obtained;

[0030] Based on the sea state and hull data set, according to the design parameters of the hull, load distribution, and the influence of real-time sea state data, the formula is adopted:

[0031] SX=U k ·(wo h ·HX+wo v ·VX+wot TX);

[0032] Calculate the stability score SX of the hull and get the hull stability evaluation result, where HX represents the wave height, VX represents the wind speed, YX represents the hull inclination, and wo h ,wo v and wo t are the weight coefficients of wave height, wind speed and hull inclination, U k is the adjustment factor;

[0033] Based on the hull stability assessment result, a safety level assessment is performed to obtain a safety level assessment result.

[0034] The present invention is improved in that the step of obtaining the security adjustment information is specifically as follows:

[0035] Based on the assessment results, identify key safety thresholds, determine whether it is necessary to adjust the amount of ballast water pumped in and discharged, and obtain safety regulation requirements;

[0036] Based on the safety regulation requirements, the required ballast water volume is calculated and adjusted, the operating parameters for pumping in and discharging ballast water are automatically adjusted, and the ballast water configuration is optimized to obtain safety regulation information.

[0037] The present invention is improved in that the steps of identifying the invasive species and pathogens are specifically as follows:

[0038] Based on the safety adjustment information, biological sensors and chemical sensors are deployed in the ballast water tank to monitor biological activities and chemical states in the water to obtain real-time water quality monitoring data;

[0039] Based on the real-time water quality monitoring data, biological samples and chemical components in the water are analyzed using the formula:

[0040] ;

[0041] Get ballast water identification information, where ZO represents the identification score, VZ i Refers to the measured value of the i-th pollution index obtained from the sensor, KM i is the weight of the ith indicator, n is the total number of indicators;

[0042] The ballast water identification information is analyzed to identify non-native invasive species and harmful pathogens, and obtain ballast water ecological identification results.

[0043] The present invention is improved in that the step of obtaining the ballast water treatment status is specifically as follows:

[0044] Assess the danger of the invasive species and harmful pathogens, determine the intensity of ultraviolet radiation or chemical treatment based on the performance of the water treatment equipment and the flow conditions of the water body, and obtain an adjusted treatment configuration;

[0045] Based on the adjusted treatment configuration, the amount of ballast water pumped in and discharged is automatically adjusted, and the treatment effect is monitored to obtain the ballast water treatment status.

[0046] Compared with the prior art, the advantages and positive effects of the present invention are:

[0047] In the present invention, by real-time monitoring of key sea condition data and ship status, the ballast water configuration can be adjusted in real time, the balance and operational flexibility of the ship can be optimized, and the ship can maintain stability in a changeable marine environment, significantly reducing the additional fuel consumption caused by improper ballast water configuration. Through the Bayesian network, the potential risks in the ballast water are intelligently evaluated, and the system can warn of risks in advance and formulate response strategies, thereby improving the safety of the ship. By carefully monitoring and analyzing the biological and chemical components of the ballast water, ecological threats can be identified in time, reducing the risk of cross-regional transmission of harmful organisms and pathogens, and effectively protecting the ecological security and biodiversity of the destination waters. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is a system flow chart of the present invention;

[0049] Figure 2 A flowchart for obtaining the ballast water balance configuration in the present invention;

[0050] Figure 3 A flow chart for quantitative analysis of potential risks in the present invention;

[0051] Figure 4 This is a flow chart for obtaining risk control instructions in the present invention;

[0052] Figure 5 A flow chart for performing safety level assessment in the present invention;

[0053] Figure 6 A flowchart for obtaining security adjustment information in the present invention;

[0054] Figure 7 A flowchart for identifying invasive species and pathogens in the present invention;

[0055] Figure 8 This is a flow chart for obtaining the ballast water treatment status in the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0057] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. Example

[0058] See also Figure 1 The present invention provides a technical solution: a ship ballast water comprehensive treatment system comprising:

[0059] The ballast water dynamic adjustment module collects the navigation speed and scheduled route information based on the current ballast water volume, real-time tilt angle and sea condition data of the ship, calculates the current ship stability index, and redistributes the ballast water to optimize the balance of the ship and obtain the ballast water balance configuration;

[0060] The ballast water risk management module conducts quantitative analysis of potential risks in the ballast water pumping and discharge process based on the ballast water balance configuration, and uses the Bayesian network to evaluate the ballast water treatment risks, implement real-time risk notifications, and obtain risk control instructions;

[0061] Based on risk control instructions and combined with current sea conditions data, the ballast water safety optimization module evaluates the potential risk of the hull tilting or capsizing, conducts safety level assessment, and automatically adjusts the amount of ballast water pumped in and discharged according to the assessment results, optimizes the ballast water configuration, and obtains safety adjustment information;

[0062] Based on safety adjustment information, the ballast water ecological monitoring module uses biosensors and chemical sensors to monitor the biological activities and chemical status in the ballast water in real time, analyze biological samples in the water, and identify potential invasive species and pathogens, and then adjust the intensity of ultraviolet irradiation or chemical treatment to obtain the ballast water treatment status.

[0063] Risk control instructions include risk rating, notification protocol, and control logic. Safety adjustment information includes safety level, adjustment commands, and response parameters. The ballast water treatment status specifically refers to biological detection data, chemical balance assessment results, and ballast water treatment intensity.

[0064] See also Figure 2 , the specific steps for obtaining the ballast water balance configuration are:

[0065] Based on the ship's current ballast water volume, real-time inclination angle and sea condition data, combined with the navigation speed and scheduled route information, the formula is used:

[0066] S = k·(v+α·v 2 )·cos(θ) / [1+β·sin 2 (θ)];

[0067] Calculate the dynamic stability index S of the ship, where k is the stability compensation coefficient, which reflects the adjustment strength of the ship design on stability, v represents the sailing speed of the ship, one of the main factors affecting stability, θ is the hull tilt angle, which is obtained in real time from the ship monitoring system, and α and β are adjustment coefficients, which adjust the secondary effect of speed and the nonlinear response of the tilt angle respectively;

[0068] The inclination angle and sea conditions are collected in real time, including parameters such as wave height, wind speed and the inclination angle of the ship. The data is recorded and updated in real time by the ship's automated monitoring system. Next, the data is used to evaluate the current stability of the ship, and the demand for ballast water volume is adjusted according to the wave height to ensure the stability of the ship under different sea conditions, including analyzing the results of various sea condition simulations to determine the optimal ballast water configuration of the ship under specific sea conditions, thereby optimizing the navigation performance and safety of the ship. Under specific conditions, the following data are collected: k=0.015, v=12 knots, α=0.05, θ=5°, β=0.1. First, the quadratic velocity term is calculated: α·v 2 =0.05·144=7.2;

[0069] Add the original speed:

[0070] v+α·v 2 =12+7.2=19.2;

[0071] Then calculate the angle response part:

[0072] cos(5°)≈0.996 and sin 2 (5°)≈0.0076;

[0073] Substituting in:

[0074] cos(5°) / [1+β·sin 2 (5°)]=0.995;

[0075] Substituting the values ​​into the formula:

[0076] S=0.015·19.2·0.995≈0.288;

[0077] It means that under the current conditions, the stability index of the ship is 0.288, which means that the ship maintains good stability under sea conditions and speeds and can sail safely under the conditions, that is, the optimal configuration of ballast water is achieved to ensure the stability of the ship.

[0078] Based on the dynamic stability index, the operating parameters of the ballast water pump and valve are adjusted to distribute the ballast water in real time, optimize the balance of the ship, and obtain the ballast water balance configuration;

[0079] First, the relevant parameters of the dynamic stability index are collected in real time, including the ship's speed, inclination angle and external sea condition data. The parameters are obtained through the ship's real-time monitoring system. Then the dynamic stability index is evaluated, and the dynamic calculation model is used to analyze the current state of the ship to determine whether its stability meets the conditions for ballast water adjustment. The operations involved include comparing the dynamic stability index value with the set optimal balance threshold, calculating the amount of ballast water to be adjusted, and allocating ballast water to each ballast tank to achieve the optimal balance state of the ship. This process requires adjusting the flow rate of the ballast water pump and the switching state of the valve. By accurately controlling the injection and discharge of water in each ballast tank, the adjusted ship's inclination angle and dynamic stability index changes are monitored in real time until the ballast water distribution meets the balance requirements of the current navigation state, and finally completing the ballast water balance configuration.

[0080] See also Figure 3 , the specific steps for quantitative analysis of potential risks are:

[0081] Based on the ballast water balance configuration, key operating parameters during ballast water pumping and discharge, including flow, pressure and temperature, are collected in real time to obtain real-time operation monitoring data;

[0082] Real-time monitoring of key operating parameters during the ballast water pumping and discharge process, including flow, pressure and temperature. High-precision sensors installed in the ballast system are used to obtain parameters. The sensors need to be calibrated regularly to ensure data accuracy. The flow rate is calculated by the ballast pump flow meter as the change in water volume per unit time. The pressure is directly collected by the pressure sensor connected to the outlet pipe of the pump. The temperature is measured by a sensor placed at the fluid inlet position of the pump. All real-time collected parameters are recorded and transmitted to the control unit through the integrated data acquisition system. The control unit is responsible for preliminary verification and storage of all monitoring data. The monitoring frequency is dynamically adjusted according to the actual navigation conditions of the ship. It is usually set to update once per second under normal operation. At the same time, it is compared and analyzed with historical operating data to mark potential abnormal parameters. After completing the collection and collation of all parameters, the output result is real-time operation monitoring data.

[0083] Based on real-time operational monitoring data, determine the normal range of flow, pressure and temperature using the formula:

[0084] RS i =(XS i -μS i ) 2 / (2σS i 2 );

[0085] Identify data points outside the normal range and calculate the risk index for each parameter, where RS i is the risk index of parameter i, XS i It is the parameter value monitored in real time. For example, it can be the specific measured value of the current ballast water pump flow, pressure or temperature, μS i is the historical average value of parameter i, calculated based on past data, representing the expected value of the parameter under normal operating conditions, σS i is the standard deviation of the historical data of parameter i, which is a statistic that measures the degree of data dispersion and is used to describe the range of variation of the parameter in normal operation;

[0086] The following data was collected: Traffic XS i =120 cubic meters / hour, historical average flow rate μS i =100 cubic meters / hour, standard deviation of historical data σS i =15, substitute into the formula to calculate;

[0087] Calculate the square of the deviation:

[0088] (XS i -μS i ) 2 =(1200-100) 2 =400;

[0089] Calculate the denominator:

[0090] 2σS i 2 =2×15 2 =450;

[0091] Calculate the risk index RS i :

[0092] RS i =400 / 150≈0.89;

[0093] The results show that the risk index is about 0.89, indicating that the current flow rate has a higher risk deviation compared with the historical average, and the flow rate under the current operating conditions is more likely to be outside the normal range, requiring further monitoring or adjustment to ensure the stable operation of the system.

[0094] Based on the risk index of each parameter, each identified risk point is quantitatively evaluated, the risk level caused by each abnormal situation is evaluated, and the quantitative analysis results of potential risks are obtained;

[0095] Based on the historical average and standard deviation of flow, pressure and temperature in the real-time operation monitoring data, the normal range of each parameter is determined, and abnormal points in the data are screened out by setting the threshold interval beyond the normal range. The abnormal points can be expressed as flow fluctuations that differ greatly from the normal range, drastic changes in pressure or temperature deviations. Next, the risk index is calculated based on the degree of deviation of the abnormal points. The risk index is quantified based on the square ratio of the degree of deviation of the abnormal value relative to the normal value. The calculated risk index will be used to judge the severity of the abnormal points. The risk index will then be summarized and classified into risk levels using specific threshold rules. Finally, the quantitative analysis results of potential risks are output.

[0096] See also Figure 4 , the specific steps for obtaining risk control instructions are:

[0097] Integrate the real-time monitoring data of the ballast water pump, filter out data noise and outliers, match the Bayesian network input format, and obtain processed input data;

[0098] The real-time monitoring data of the ballast water pump is integrated, and key parameter data are collected through flow sensors, pressure sensors and temperature sensors installed on the ballast water pump and its pipeline. The data is first denoised to filter out random noise introduced by factors such as sensor accuracy limitations and environmental interference. Next, the upper and lower bounds of the historical data are compared using statistical analysis methods to eliminate abnormal points that exceed a reasonable range to ensure the accuracy and reliability of data input. Subsequently, all processed data are matched to the input format required by the Bayesian network. Through preset parameter mapping, the data is classified and organized according to the specific input variables corresponding to the nodes, and finally an input matrix that meets the model structure requirements is formed, ready for risk assessment analysis.

[0099] Based on the processed input data, using the Bayesian network, the formula is:

[0100] P(R|D)=P(D|R)·P(R) / P(D)

[0101] Perform risk assessment and obtain real-time risk assessment results, where P(R|D) is the posterior probability of risk R occurring given data D, P(D|R) is the probability of monitoring data D when risk R occurs, which is likelihood, expressing how likely it is to observe the current data if the risk actually occurs, P(R) is the prior probability of risk R occurring, which is the initial judgment on the possibility of risk occurrence before considering new evidence, and P(D) is the marginal probability of data D, which is the total probability of monitoring data D under all conditions of whether the risk occurs or not;

[0102] In a certain monitoring cycle, the observed data D includes the following situations: the flow exceeds the standard, the data shows 120 cubic meters / h, while the historical data shows that the normal flow should be 100 cubic meters / h. The prior probability P(R) of risk R is set based on the historical risk occurrence rate of 0.02, and the marginal probability P(D) of data D is 0.05, which means that in all monitoring, the probability of exceeding the standard is 5%. If risk R occurs (that is, the system is indeed in a risky state), the probability of monitoring data D P(D|R) is 0.8, which means that there is an 80% probability of observing exceeding the standard data when the system is in a risky state. First, calculate the product in the formula:

[0103] P(D|R)·P(R)=0.8·0.02=0.016;

[0104] Then calculate the posterior probability P(R|D):

[0105] P(R|D)=0.016 / 0.05=0.32;

[0106] The result shows that given the monitored data D (traffic exceeds the standard), there is a 32% probability that the system is in a risky state. The result helps decision makers understand the risk level of the system when specific data is observed, so that they can take corresponding preventive measures.

[0107] Implement real-time risk notifications based on real-time risk assessment results, including adjusting operating parameters or executing emergency response plans to obtain risk control instructions;

[0108] The probability of each risk event is calculated by the posterior probability in the Bayesian network. The implementation of real-time risk notification includes two parts. The first is to automatically adjust the operating parameters, such as adjusting the pump speed or the opening of the flow valve by sending instructions to the ballast water pump control system. The other is to send emergency response instructions. For example, when the assessment results show that the risk exceeds the safety threshold, the pump's emergency shutdown procedure is immediately triggered or the alarm system notifies the operator to perform further inspections. The instructions are distributed in the ship management system with high priority, and ultimately dynamic adjustments are made and prevention and control measures are implemented to obtain risk control instructions.

[0109] See also Figure 5The specific steps for safety level assessment are:

[0110] Based on the risk control instructions, the sea condition and hull data sets are obtained by combining the currently collected sea condition data, including wave height, wind speed and hull inclination angle;

[0111] Combined with the currently collected sea condition data, including wave height, wind speed and hull inclination angle, the monitoring data is processed and integrated. By calling the data obtained by real-time sensors, the wave height is classified and the average value is extracted. The wind speed data is time-series smoothed to eliminate outliers. The inclination angle is calculated by weighted average by collecting multiple sampling values. All processed parameters are integrated to form a unified structured data format to ensure that the corresponding time series of each parameter are consistent, which is convenient for subsequent analysis. After the integration is completed, the data is mapped to the interactive table of sea conditions and hull dynamic parameters, which contains the timestamp, parameter value and calculation deviation corresponding to each data point, and finally the sea condition and hull data set are obtained.

[0112] Based on the sea state and hull data set, according to the design parameters of the hull, load distribution, and the influence of real-time sea state data, the formula is used:

[0113] SX=U k ·(wo h ·HX+wo v ·VX+wo t TX);

[0114] Calculate the stability score SX of the hull and get the hull stability assessment result, where HX represents the wave height, which reflects the height of the waves in the current sea conditions; VX represents the wind speed, which refers to the wind conditions in the current environment. The size of the wind speed directly affects the heading stability and maneuverability of the hull; TX represents the inclination of the hull, which is a direct indicator of whether the hull is close to capsizing or severely tilted. h ,wo v and wo t are the weight coefficients of wave height, wind speed and hull inclination, which define the contribution of each sea condition parameter to the stability score and reflect the importance of different sea condition factors in the hull stability assessment. k is the adjustment factor used to adjust the sensitivity of the stability score for different ship types and loading conditions;

[0115] The data collected is as follows:

[0116] HX=3.0 meters (wave height);

[0117] VX=15.0 m / s (wind speed);

[0118] TX=5.0 degrees (tilt angle);

[0119] Assume woh =0.5,wo v =0.3andwo t =0.2 points (weight coefficient);

[0120] U k =1.2 (adjustment factor);

[0121] Calculation process:

[0122] SX=1.2·(0.5·3.0+0.3·15.0+0.2·5.0)=8.4;

[0123] The result shows that the stability score is 8.4, which means that under the current sea conditions and hull parameters, the ship has a high stability and can continue to maintain the current navigation status or make necessary adjustments to further enhance safety.

[0124] Based on the hull stability assessment results, a safety level assessment is performed to obtain a safety level assessment result;

[0125] Cross-comparison is carried out on the tilt risk of the hull, the rationality of load distribution, and the handling characteristics under wind and wave conditions. Correlation verification is carried out by calling the hull design parameters and evaluation results to ensure that the scoring standards cover different ship types and load conditions, establish a standardized safety level framework, and map the stability score to a specific safety level category based on the risk level threshold. For example, a safety level report is generated in real time based on the set low, medium, and high risk classification standards, and finally the safety level assessment result is obtained.

[0126] See also Figure 6 , the specific steps for obtaining security adjustment information are:

[0127] Based on the assessment results, identify the key safety thresholds, determine whether the amount of ballast water pumped in and out needs to be adjusted, and obtain the safety regulation requirements;

[0128] The corresponding score value is extracted from the safety level score of the hull, combined with the current ship sea condition data, including the variation range of wave height, wind speed and inclination angle, and by analyzing whether each parameter reaches or is close to the set safety critical value, the necessity of ballast water adjustment is further judged. The preset hull risk response rules are called, and the risk level is compared with the real-time monitoring data. By comparing the difference between the current state and the safety threshold, it is determined whether the ballast water needs to be pumped in or discharged, and the specific indicator range related to the safety threshold is calculated. The ballast water operation that needs to be adjusted is clarified to obtain the safety adjustment requirements.

[0129] Based on the safety regulation requirements, the required ballast water volume is calculated and adjusted, the operating parameters of pumping in and discharging ballast water are automatically adjusted, and the ballast water configuration is optimized to obtain safety regulation information;

[0130] Call the operational logic of pumping in and discharging ballast water to optimize the operating parameters, including monitoring the current water distribution in the ballast water tank, the pumping and discharge rates, and adjusting the ballast water flow path by adjusting the operating parameters in real time in combination with the changes in the inclination angle of the hull to ensure that the adjustment of ballast water can balance the stability of the hull. At the same time, optimize the proportional relationship between pumping in and discharging, call the control program to achieve continuous optimization and adjustment of the ballast water, integrate all operations and output the final ballast water configuration plan, complete the optimized ballast water configuration, and obtain safety adjustment information.

[0131] See also Figure 7 , the specific steps for identifying invasive species and pathogens are:

[0132] Based on the safety regulation information, biological sensors and chemical sensors are deployed in the ballast water tanks to monitor the biological activities and chemical status in the water and obtain real-time water quality monitoring data;

[0133] The sensor measures specific indicators in water samples in real time, including parameters such as microbial density, chemical pollutant concentration and water temperature. The detection capability of the sensor depends on its sensitivity and data acquisition accuracy. At the same time, the uniformity and representativeness of the sample are ensured through the circulation system of the water tank. The sensor then receives the numerical value feedback and conducts preliminary classification and analysis based on the water quality monitoring objectives. The sensor output is screened one by one to eliminate errors and ensure the accuracy of the data. The cleaned data is stored as real-time water quality monitoring data for subsequent ecological assessment and treatment processes.

[0134] Based on real-time water quality monitoring data, biological samples and chemical components in water are analyzed using the formula:

[0135] ;

[0136] The ballast water identification information is obtained, where ZO represents the identification score, which is used to assess the severity of potential threats in ballast water samples, and VZ i Refers to the measured value of the i-th pollution indicator obtained from the sensor, such as the density of a specific microorganism or the concentration of a chemical substance, KM i is the weight of the ith indicator, and the weight is set according to the importance of each indicator in identifying potential environmental and health threats, and n is the total number of indicators;

[0137] The following three indicators were monitored: microbial density was 200 / ml, chemical pollutants were 150ppm, and heavy metal content was 30ppm. The corresponding weights were set to 0.5, 0.3, and 0.2, respectively. Substitute them into the formula for calculation:

[0138] ZO=(200·0.5)+(150·0.3)+(30·0.2)=151;

[0139] The results show that the ballast water identification score obtained is 151. The score reflects the severity of pollution in the current ballast water sample. The higher the value, the more serious the pollution. The information will be used to determine the treatment method and intensity of ballast water.

[0140] Analyze ballast water identification information, identify non-native invasive species and harmful pathogens, and obtain ballast water ecological identification results;

[0141] First, the microbial species data in the identification information is compared with the preset ecological database to screen out non-native species and high-risk pathogens. At the same time, a preliminary risk score is generated based on the ecological attributes of the species and the correlation data in the database. Then, the types of pollutants in the chemical state data are classified and analyzed, and the identification model is further improved in combination with the environmental hazard parameters of the chemical substances. All classified and analyzed data will be organized uniformly, and the types of pollution and biological invasions will be ranked to determine the risk targets for priority treatment. Finally, the ecological identification results are generated based on the organized data.

[0142] See also Figure 8 , the specific steps for obtaining the ballast water treatment status are:

[0143] Assess the risk of invasive species and harmful pathogens, determine the intensity of ultraviolet radiation or chemical treatment based on the performance of water treatment equipment and water flow conditions, and obtain adjusted treatment configurations;

[0144] High-risk species and their characteristics, including population density, transmission ability and adaptability to the local environment, are extracted from the ballast water ecological identification results. At the same time, combined with the impact of pathogens on human health and marine ecosystems, high-priority risk sources are determined through classification data. Then, combined with the performance data of water treatment equipment, such as equipment processing capacity and operating limitations, as well as data on water flow conditions such as flow rate and volume, a comprehensive assessment is made as to whether ultraviolet irradiation or chemical treatment is suitable. According to water quality requirements and treatment objectives, the appropriate treatment intensity range is determined, and the rationality of intensity adjustment is ensured, providing basic parameter configuration for subsequent water treatment.

[0145] Based on the adjusted treatment configuration, the amount of ballast water pumped in and out is automatically adjusted, and the treatment effect is monitored to obtain the ballast water treatment status;

[0146] The specific flow rate and target volume of pumping and discharging are set according to the preset parameters. At the same time, the changes in the water body are monitored in real time according to the volume of the ballast water tank. The sensor monitors the dynamic changes of water quality during the treatment process, including the concentration of pollution indicators and flow uniformity. If the processed data returned by the sensor meets the preset safety standards, the adjustment of pumping and discharging is terminated. Otherwise, the pumping and discharging rates are further optimized according to the feedback data and the treatment process is repeated to ensure that the water body finally meets the safety discharge standards. At the same time, all process parameters are recorded for subsequent analysis and adjustment to obtain the ballast water treatment status.

[0147] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A ship ballast water comprehensive treatment system, characterized in that: The system comprises: The ballast water dynamic adjustment module collects the navigation speed and scheduled route information based on the current ballast water volume, real-time tilt angle and sea condition data of the ship, calculates the current ship stability index, and redistributes the ballast water to optimize the balance of the ship and obtain the ballast water balance configuration; The ballast water risk management module quantitatively analyzes the potential risks in the ballast water pumping and discharging process based on the ballast water balance configuration, and uses the Bayesian network to evaluate the ballast water treatment risks, implements real-time risk notification, and obtains risk control instructions; The ballast water safety optimization module evaluates the potential tilt or capsize risk of the hull based on the risk control instructions and combined with the current sea condition data, conducts a safety level assessment, and automatically adjusts the amount of ballast water pumped in and discharged according to the assessment results, optimizes the ballast water configuration, and obtains safety adjustment information; Based on the safety adjustment information, the ballast water ecological monitoring module uses biosensors and chemical sensors to monitor the biological activities and chemical status in the ballast water in real time, analyze biological samples in the water, and identify potential invasive species and pathogens, and then adjust the intensity of ultraviolet irradiation or chemical treatment to obtain the ballast water treatment status; The steps for obtaining the ballast water balance configuration are specifically as follows: Based on the ship's current ballast water volume, real-time inclination angle and sea condition data, combined with the navigation speed and scheduled route information, the formula is used: S=k·(v+α·v 2 )·cos(θ) / [1+β·sin 2 (i)]; Calculate the dynamic stability index S of the ship, where k is the stability compensation coefficient, v represents the sailing speed of the ship, θ is the hull inclination angle, and α and β are adjustment coefficients, which adjust the secondary effect of speed and the nonlinear response of the inclination angle respectively; Based on the dynamic stability index, the operating parameters of the ballast water pump and the valve are adjusted to distribute the ballast water in real time, optimize the balance of the ship, and obtain the ballast water balance configuration; The specific steps for quantitative analysis of the potential risks are: Based on the ballast water balance configuration, key operating parameters during the ballast water pumping and discharging process, including flow rate, pressure and temperature, are collected in real time to obtain real-time operation monitoring data; Based on the real-time operation monitoring data, the normal range of flow, pressure and temperature is determined using the formula: RS i =(XS i -μS i ) 2 / (2σS i 2 ); Identify data points outside the normal range and calculate the risk index for each parameter, where RS i is the risk index of parameter i, XS i is the parameter value monitored in real time, μS i is the historical average of parameter i, σS i is the standard deviation of the historical data of parameter i; Based on the risk index of each parameter, each identified risk point is quantitatively evaluated, the risk level caused by each abnormal situation is evaluated, and a potential risk quantitative analysis result is obtained.

2. The ship ballast water comprehensive treatment system according to claim 1, characterized in that: The steps for obtaining the risk control instruction are specifically as follows: Integrate the real-time monitoring data of the ballast water pump, filter out data noise and outliers, match the Bayesian network input format, and obtain processed input data; Based on the processed input data, using the Bayesian network, the formula is adopted: P(R|D)=P(D|R)·P(R) / P(D) Perform risk assessment and obtain real-time risk assessment results, where P(R|D) is the posterior probability of risk R occurring given data D, P(D|R) is the probability of monitoring data D when risk R occurs, P(R) is the prior probability of risk R occurring, and P(D) is the marginal probability of data D; Based on the real-time risk assessment results, real-time risk notification is implemented, including adjusting operating parameters or executing emergency response plans to obtain risk control instructions.

3. The ship ballast water comprehensive treatment system according to claim 1, characterized in that: The steps of performing security level assessment are specifically as follows: Based on the risk control instruction, combined with the currently collected sea condition data, including wave height, wind speed and hull inclination angle, a sea condition and hull data set is obtained; Based on the sea state and hull data set, according to the design parameters of the hull, load distribution, and the influence of real-time sea state data, the formula is used: SX=U k ·(wo h ·HX+wo v ·VX+wo t ·TX); Calculate the stability score SX of the hull and get the hull stability evaluation result, where HX represents the wave height, VX represents the wind speed, YX represents the hull inclination, and wo h ,wo v and wo t are the weight coefficients of wave height, wind speed and hull inclination, U k is the adjustment factor; Based on the hull stability assessment result, a safety level assessment is performed to obtain a safety level assessment result.

4. The ship ballast water comprehensive treatment system according to claim 1, characterized in that: The steps for obtaining the security adjustment information are specifically as follows: Based on the assessment results, identify key safety thresholds, determine whether it is necessary to adjust the amount of ballast water pumped in and discharged, and obtain safety regulation requirements; Based on the safety regulation requirements, the required ballast water volume is calculated and adjusted, the operating parameters for pumping in and discharging ballast water are automatically adjusted, and the ballast water configuration is optimized to obtain safety regulation information.

5. The ship ballast water comprehensive treatment system according to claim 1, characterized in that: The steps for identifying invasive species and pathogens are specifically as follows: Based on the safety adjustment information, biological sensors and chemical sensors are deployed in the ballast water tank to monitor biological activities and chemical states in the water to obtain real-time water quality monitoring data; Based on the real-time water quality monitoring data, biological samples and chemical components in the water are analyzed using the formula: ； Get ballast water identification information, where ZO represents the identification score, VZ i Refers to the measured value of the i-th pollution index obtained from the sensor, KM i is the weight of the ith indicator, and n is the total number of indicators; The ballast water identification information is analyzed to identify non-native invasive species and harmful pathogens, and obtain ballast water ecological identification results.

6. The ship ballast water comprehensive treatment system according to claim 1, characterized in that: The steps for obtaining the ballast water treatment status are specifically as follows: Assess the danger of the invasive species and harmful pathogens, determine the intensity of ultraviolet radiation or chemical treatment based on the performance of the water treatment equipment and the flow conditions of the water body, and obtain an adjusted treatment configuration; Based on the adjusted treatment configuration, the amount of ballast water pumped in and discharged is automatically adjusted, and the treatment effect is monitored to obtain the ballast water treatment status.

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