A shipping risk assessment method and system based on a quantization model

Abstract

The present invention discloses a shipping risk assessment method and system based on a quantization model, belonging to the technical field of electrical digital data processing, and comprising the following steps: S1, obtaining aerodynamic influence parameters and hydrodynamic influence parameters, analyzing to obtain a shipping risk driving value, and thereby matching to obtain a stable power demand value of the ship; S2, obtaining a stable power operation value of the ship; S3, obtaining a ship power regulation determination result, if the ship power regulation determination result is that the power is qualified, then the initial adjustment of the ship power stability is not executed, otherwise S4 is executed; S4, performing the initial adjustment of the ship power stability; S5, obtaining a key node operation determination result, if the key node operation determination result is that the operation is stable, then the generator adjustment is not performed, otherwise S6 is executed; S6, performing the generator adjustment to obtain the generator operation execution parameters, solving the problem in the prior art that the shipping risk increases due to the interference of severe convective weather on the ship power system.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular, to a shipping risk assessment method and system based on a quantization model. Background Art

[0002] With the rapid development of the shipping industry, the safe navigation of ships in complex sea conditions has become the focus of attention. The existing shipping risk assessment methods mainly evaluate shipping risks by obtaining and analyzing meteorological and hydrological information and traffic information to analyze the difficulty of navigation.

[0003] For example, a holographic navigation scenario map system and construction method for intelligent ship navigation announced in the invention patent with the announcement number: CN115017246B, including: obtaining all-element information of the navigation scenario in real time or approximately in real time through ubiquitous sensing means, obtaining meteorological and hydrological information, traffic information, etc. related to navigation in the geographical space, and associating scene element information through semantic positions, realizing the function of adaptively providing multi-dimensional dynamic services for ship navigation tasks.

[0004] For example, a method for generating structured navigation restriction data announced in the invention patent with the announcement number: CN117171289B, including: creating a navigation restriction data model; establishing an aviation entity data model; creating an aviation entity data table; creating a navigation restriction data table; generating aviation entity data; generating navigation restriction data.

[0005] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0006] The existing shipping risk assessment methods focus on judging the interference of meteorological environment on the navigation difficulty during the ship's travel through meteorological and hydrological information and traffic information, while ignoring the interference of sudden meteorological conditions on the stability of the power system during the ship's navigation. In strong convective weather, the voltage of the ship's power grid will be unstable due to electromagnetic interference from the surrounding environment, and in this environment, the ship will cause equipment such as gyroscopic stabilizers to work overloaded in order to maintain stability. Therefore, there is a problem that the shipping risk increases due to the interference of strong convective weather on the ship's power system. Summary of the Invention

[0007] The embodiments of the present application provide a shipping risk assessment method and system based on a quantization model, which solve the problem that the shipping risk increases due to the interference of strong convective weather on the ship's power system, realize the optimization and adjustment of the ship's power system under strong convective weather, and reduce the ship operation risk.

[0008] An embodiment of the present application provides a shipping risk assessment method based on a quantization model, including the following steps: S1. Obtain the aerodynamic influence parameter to analyze the aerodynamic influence fluctuation value, obtain the hydrodynamic influence parameter to analyze the hydrodynamic influence fluctuation value, and input them into a preset quantization model to analyze and obtain the shipping risk driving value, thereby matching and obtaining the ship's power stability demand value; S2. Obtain the ship's power operation stability parameter and analyze to obtain the ship's power stable operation value; S3. Based on the analysis of the ship's power stability demand value and the ship's power stable operation value, obtain the ship's power adjustment determination result. If the ship's power adjustment determination result is power qualified, do not perform the initial ship's power stability adjustment, otherwise execute S4; S4. Obtain the remaining power of the ship's power generation and the power configuration parameters of each edge power node, and thereby analyze the allocated power of each edge power node to perform the initial ship's power stability adjustment; S5. Obtain the operation stability parameter of the key node after the initial ship's power stability adjustment, and analyze to obtain the key node operation determination result. If the key node operation determination result is stable operation, do not perform the generator adjustment, otherwise execute S6; S6. Obtain the ship's power stable operation value and the key node operation balance value after the initial ship's power stability adjustment, and thereby perform the generator adjustment to obtain the generator operation execution parameter.

[0009] An embodiment of the present application provides a shipping risk assessment system based on a quantization model, including: a power demand analysis module, a power stable operation analysis module, a stability judgment module, an initial stability adjustment module, a stability adjustment result determination module, and a generator adjustment module; wherein, the power demand analysis module is used to obtain the aerodynamic influence parameter to analyze the aerodynamic influence fluctuation value, obtain the hydrodynamic influence parameter to analyze the hydrodynamic influence fluctuation value, and input them into a preset quantization model to analyze and obtain the shipping risk driving value, thereby matching and obtaining the ship's power stability demand value; the power stable operation analysis module is used to obtain the ship's power operation stability parameter and analyze to obtain the ship's power stable operation value; the stability judgment module is used to analyze based on the ship's power stability demand value and the ship's power stable operation value to obtain the ship's power adjustment determination result. If the ship's power adjustment determination result is power qualified, do not perform the initial ship's power stability adjustment, otherwise execute the initial stability adjustment module; the initial stability adjustment module is used to obtain the remaining power of the ship's power generation and the power configuration parameters of each edge power node, and thereby analyze the allocated power of each edge power node to perform the initial ship's power stability adjustment; the stability adjustment result determination module is used to obtain the operation stability parameter of the key node after the initial ship's power stability adjustment, and analyze to obtain the key node operation determination result. If the key node operation determination result is stable operation, do not perform the generator adjustment, otherwise execute the generator adjustment module; the generator adjustment module is used to obtain the ship's power stable operation value and the key node operation balance value after the initial ship's power stability adjustment, and thereby perform the generator adjustment to obtain the generator operation execution parameter.

[0010] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0011] 1. The shipping risk assessment method based on a quantization model provided by the present invention obtains the aerodynamic influence fluctuation value by analyzing the aerodynamic influence parameters, obtains the hydrodynamic influence fluctuation value by analyzing the hydrodynamic influence parameters, and inputs them into a preset quantization model to analyze and obtain the shipping risk driving value, thereby matching to obtain the stable power demand value of the ship, and then performing stable power adjustment of the ship, realizing the optimized adjustment of the ship power system under strong convective weather, reducing the ship operation risk, effectively solving the problem in the prior art that the shipping risk increases due to the interference of strong convective weather on the ship power system, and realizing the stable operation of the ship power system.

[0012] 2. The present invention obtains the stable operation parameters of the ship power operation, analyzes and obtains the stable operation value of the ship power, and compares based on the stable power demand value and the stable operation value of the ship power to obtain the ship power adjustment determination result, thereby obtaining the remaining power of the ship power generation and the power configuration parameters of each edge power node, and analyzing and obtaining the allocated power of each edge power node to perform the initial stable adjustment of the ship power, and then realizing the stability and reliability of the ship power system operating under complex sea conditions, and improving the overall safety of the ship.

[0013] 3. By obtaining the stable operation parameters of the key nodes after the initial stable adjustment of the ship power, analyzing and obtaining the key node operation determination result, and realizing the adjustment of the working speed of the generator, and at the same time analyzing and adjusting the initial excitation current of the generator, the precise adjustment of the ship power is realized, ensuring the continuous and stable power supply of the ship under complex sea conditions. Description of the Drawings

[0014] Figure 1 It is a flowchart of the shipping risk assessment method based on a quantization model provided by the embodiments of the present application;

[0015] Figure 2 It is a specific flowchart of the shipping risk assessment method based on a quantization model provided by the embodiments of the present application;

[0016] Figure 3 It is a schematic structural diagram of the shipping risk assessment system based on a quantization model provided by the embodiments of the present application. Detailed Embodiments

[0017] The embodiments of the present application provide a shipping risk assessment method and system based on a quantization model, solving the problem in the prior art that the shipping risk increases due to the interference of strong convective weather on the ship power system, achieving the optimized adjustment of the ship power system under strong convective weather, and reducing the ship operation risk.

[0018] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0019] As Figure 1 shown, it is a flowchart of a shipping risk assessment method based on a quantization model provided by an embodiment of the present application. This method is applied to a shipping risk assessment system based on a quantization model. The method includes the following steps: S1. Obtain aerodynamic influence parameters to analyze the aerodynamic influence fluctuation value, obtain hydrodynamic influence parameters to analyze the hydrodynamic influence fluctuation value, and input both into a preset quantization model to analyze and obtain a shipping risk driving value, and thus match to obtain the ship's power stability demand value; S2. Obtain the ship's power operation stability parameters and analyze to obtain the ship's power stable operation value; S3. Based on the analysis of the ship's power stability demand value and the ship's power stable operation value, obtain the ship's power adjustment determination result. If the ship's power adjustment determination result is that the power is qualified, do not perform the initial adjustment of the ship's power stability, otherwise execute S4; S4. Obtain the remaining power of the ship's power generation and the power configuration parameters of each edge power node, and thus analyze to obtain the allocated power of each edge power node to perform the initial adjustment of the ship's power stability; S5. Obtain the operation stability parameters of the key nodes after the initial adjustment of the ship's power stability, and analyze to obtain the key node operation determination result. If the key node operation determination result is that the operation is stable, do not perform the generator adjustment, otherwise execute S6; S6. Obtain the ship's power stable operation value and the key node operation balance value after the initial adjustment of the ship's power stability, and thus perform the generator adjustment to obtain the generator operation execution parameters.

[0020] In this embodiment, as Figure 2 shown is the specific flowchart of the shipping risk assessment method based on the quantization model provided by the embodiment of the present application. By obtaining the aerodynamic influence parameters and hydrodynamic influence parameters, calculate the aerodynamic influence fluctuation value and the hydrodynamic influence fluctuation value respectively, and input these values into the quantization model to calculate the shipping risk driving value, and thus match to obtain the ship's power stability demand value, and obtain the ship's power operation stability parameters to calculate the ship's power stable operation value. By comparing the stable demand value and the stable operation value, obtain the ship's power adjustment determination result. If the ship's power adjustment determination result is qualified, do not perform the initial adjustment of the ship's power stability and end the process. If the ship's power adjustment determination result is unqualified, perform the initial adjustment of the ship's power stability and obtain the key node operation determination result. If the key node operation determination result is that the operation is stable, do not perform the generator adjustment and end. If the key node operation determination result is that the operation is unstable, perform the generator adjustment and finally end the process.

[0021] Obtain the aerodynamic influence parameter analysis to obtain the aerodynamic influence fluctuation value. The specific method is as follows: Obtain the aerodynamic influence parameters within the first preset time period. The aerodynamic influence parameters include the maximum wind speed, wind speed change rate, maximum wind pressure, and hull roll angle amplitude. Obtain the preset sea breeze change influence reference set in the database, compare and analyze it with the aerodynamic influence parameters to obtain a comparison result, and introduce the corresponding weighting factor to quantify the comparison result to obtain the aerodynamic influence fluctuation value. The sea breeze change influence reference set includes the wind speed reference value, wind speed change rate reference value, wind pressure reference value, and hull roll angle amplitude reference value.

[0022] To obtain the aerodynamic influence fluctuation value, the specific method is as follows:

[0023] ;

[0024] In the formula, represents the aerodynamic influence fluctuation value, represents the maximum wind speed, represents the wind speed reference value, represents the wind speed change rate, represents the wind speed change rate reference value, represents the maximum wind pressure, represents the wind pressure reference value, represents the hull roll angle amplitude, represents the hull roll angle amplitude reference value, represents the wind speed weighting factor, represents the wind speed change rate weighting factor, represents the wind pressure weighting factor, represents the hull roll angle amplitude weighting factor.

[0025] It should be noted that the maximum wind speed is obtained by measuring with the anemometer built in the weather station on the ship. The wind speed change rate refers to the change speed of the wind speed per unit time. The wind speed can be measured by the anemometer built in the ship, and the wind speed change rate can be obtained according to the wind speed. The maximum wind pressure is obtained by detecting with the wind pressure sensing device built in the ship, where the wind pressure sensing device is a pressure sensor. The hull roll angle amplitude can be obtained by analyzing the real-time roll angle of the hull measured by the attitude sensor (such as a gyroscope) built in the ship.

[0026] It should also be noted that the aerodynamic influence fluctuation value obtained by analyzing the aerodynamic influence parameters takes into account the mutual influence relationship between these parameters. For example, when the wind speed increases rapidly in a short period of time, the wind speed change rate will also increase accordingly, causing the ship to be subjected to greater lateral forces, increasing the roll amplitude of the ship. The occurrence of maximum wind speed usually leads to the generation of maximum wind pressure. The magnitude of wind pressure directly affects the lateral force exerted on the ship, thereby affecting the stability and navigation safety of the ship. The greater the wind speed change rate, the more drastic the change in wind pressure. Rapidly changing wind pressure will cause the ship to be subjected to unstable lateral forces, increasing the roll and pitch amplitude of the ship. Larger wind pressure will cause the ship to be subjected to greater lateral forces, thereby increasing the roll angle amplitude of the hull.

[0027] The wind speed weighting factor, wind speed change rate weighting factor, wind pressure weighting factor and hull roll angle amplitude weighting factor can be obtained from the database. For example, the wind speed weighting factor can be obtained by obtaining the historical wind speed stored in the database, and the wind speed weighting factor corresponding to the historical wind speed, thereby constructing a wind speed mapping set, wherein there is a one-to-one or many-to-one correspondence in the mapping set. The wind speed weighting factor can be obtained by inputting the required wind speed data into the wind speed mapping set. The other weighting factors such as the wind speed change rate weighting factor, the wind pressure weighting factor and the hull roll angle amplitude weighting factor are obtained in the same way as the wind speed weighting factor, and can also be obtained through the mapping set, wherein the wind speed change rate weighting factor corresponds to the wind speed change rate mapping set, the wind pressure weighting factor corresponds to the wind pressure mapping set, and the hull roll angle amplitude weighting factor corresponds to the hull roll angle amplitude mapping set.

[0028] The hydrodynamic influence parameters are obtained by analysis to obtain the hydrodynamic influence fluctuation value. The specific method is as follows: the hydrodynamic influence parameters within the first preset time period are obtained, and the hydrodynamic influence parameters include the maximum wave height, the wave height change rate, the maximum current speed and the current speed change rate; the sea surface change influence reference set preset in the database is obtained, and compared and analyzed with the hydrodynamic influence parameters respectively to obtain the comparison results, and the corresponding weighting factors are introduced to quantify the comparison results to obtain the hydrodynamic influence fluctuation value; the sea surface change influence reference set includes the wave height reference value, the wave height change rate reference value, the current speed reference value and the current speed change rate reference value.

[0029] It should be noted that the maximum wave height and the wave height change rate are obtained by measuring them through wave height detection tools such as wave height meters equipped on ships. The wave height change rate indicates the rate of change of wave height per unit time. The maximum current speed and the current speed change rate are obtained by detecting them through the built-in flow velocity sensing device on the ship, wherein the flow velocity sensing device is an acoustic Doppler current meter. The current speed change rate indicates the rate of change of current speed per unit time.

[0030] The hydrodynamic influence fluctuation value is obtained by analyzing the hydrodynamic influence parameters, taking into account the mutual influence relationships among these parameters. For example, a large wave height change rate will cause the wave height to quickly reach its peak, thereby increasing the possibility of the maximum wave height. The ocean current velocity change rate reflects the rate of change of the ocean current velocity over time. A large ocean current velocity change rate will cause the ocean current velocity to quickly reach its peak, thereby increasing the maximum value of the ocean current velocity. There is an interaction between the maximum wave height and the maximum ocean current velocity. A large ocean current velocity can change the propagation path and energy distribution of the waves, thereby affecting the formation and development of the wave height. A large ocean current velocity will cause the breaking and energy dissipation of the waves, thereby affecting the formation of the maximum wave height. At the same time, a large wave height will also have a feedback effect on the ocean current velocity. The breaking and energy dissipation of the waves will change the dynamic characteristics of the ocean current, affecting the distribution and change of the ocean current velocity. A rapidly changing ocean current velocity will change the propagation path and energy distribution of the waves, thereby affecting the change rate of the wave height. A rapidly changing ocean current velocity will cause the instability of the waves, exacerbating the change of the wave height, thereby increasing the wave height change rate.

[0031] The method for obtaining the hydrodynamic influence fluctuation value is as follows:

[0032] ;

[0033] In the formula, represents the hydrodynamic influence fluctuation value, represents the maximum wave height of the sea waves, represents the reference value of the wave height of the sea waves, represents the wave height change rate, represents the reference value of the wave height change rate, represents the maximum value of the ocean current velocity, represents the reference value of the ocean current velocity, represents the ocean current velocity change rate, represents the reference value of the ocean current velocity change rate, represents the weighting factor of the wave height of the sea waves, represents the weighting factor of the wave height change rate, represents the weighting factor of the ocean current velocity, represents the weighting factor of the ocean current velocity change rate.

[0034] The wave height weighting factor, wave height change rate weighting factor, sea current velocity weighting factor, and sea current velocity change rate weighting factor can be obtained from a database. For example, the wave height weighting factor can be obtained by acquiring the historical wave heights stored in the database and the corresponding wave height weighting factors of the historical wave heights, thereby constructing a wave height mapping set. In this mapping set, there is a one-to-one or many-to-one correspondence. By inputting the wave height data to be used into the wave height mapping set, the wave height weighting factor can be obtained. The acquisition methods of other weighting factors, such as the wave height change rate weighting factor, sea current velocity weighting factor, and sea current velocity change rate weighting factor, are the same as that of the wave height weighting factor and can also be obtained from the mapping set. Among them, the wave height change rate weighting factor corresponds to the wave height change rate mapping set, the sea current velocity weighting factor corresponds to the sea current velocity mapping set, and the sea current velocity change rate weighting factor corresponds to the sea current velocity change rate mapping set.

[0035] The aerodynamic and hydrodynamic parameters are integrated into a shipping risk driving value through a quantization model, and a dynamic mapping between environmental disturbances and power demand is established to achieve a closed-loop management from meteorological risks to power regulation. By determining the power eligibility, different adjustment levels (primary adjustment and generator adjustment) are triggered to avoid over-intervention and improve the system response efficiency.

[0036] Furthermore, the shipping risk driving value is obtained, and based on this, the stable power demand value of the ship is matched. The specific method is as follows: obtain the quantization model preset in the database; based on the aerodynamic influence fluctuation value and the hydrodynamic influence fluctuation value as the input variables of the quantization model, input them into the quantization model, and after being processed by the quantization model, output the shipping risk driving value; obtain the preset shipping risk driving value intervals in the database and the corresponding reference stable power demand values of the ship for each shipping risk driving value interval, and compare them with the shipping risk driving value. If the shipping risk driving value is within a certain preset shipping risk driving value interval, obtain the corresponding reference stable power demand value of the ship as the stable power demand value of the ship.

[0037] In this embodiment, it should be noted that the aerodynamic influence fluctuation value and the hydrodynamic influence fluctuation value are input into the preset quantization model, and the shipping risk driving value is analyzed. The expression of the quantization model is:

[0038] ;

[0039] In the formula, represents the shipping risk driving value, represents the aerodynamic influence fluctuation value, represents the hydrodynamic influence fluctuation value, represents the environmental influence fluctuation weighting factor, represents the sea surface change fluctuation weighting factor.

[0040] Both the environmental impact fluctuation weighting factor and the sea level change fluctuation weighting factor can be obtained from the database. For example, the environmental impact fluctuation weighting factor can be obtained by acquiring the historical environmental impact fluctuations stored in the database and the corresponding environmental impact fluctuation weighting factors, thereby constructing an environmental impact fluctuation mapping set. There is a one-to-one or many-to-one correspondence in this mapping set. By inputting the environmental impact fluctuation data to be used into the environmental impact fluctuation mapping set, the environmental impact fluctuation weighting factor can be obtained. The acquisition method of the sea level change fluctuation weighting factor is the same as that of the environmental impact fluctuation weighting factor and can also be obtained from the mapping set. Among them, the sea level change fluctuation weighting factor corresponds to the sea level change fluctuation mapping set.

[0041] Based on the risk-driven value range to match the power demand, it solves the problem that traditional static thresholds cannot adapt to sudden wind and waves. By introducing a quantization model and preset parameters in the database, the accuracy and pertinence of risk assessment are enhanced. By associating the shipping risk-driven value with the power stable demand value, the regulation of the ship's power system becomes more adaptable, improving the power system's ability to cope with different risk scenarios, helping to more accurately match the power stable demand, and improving the accuracy of the ship's shipping risk assessment.

[0042] Furthermore, obtain the stable operation parameters of the ship's power and analyze to obtain the stable operation value of the ship's power. The specific method is as follows: obtain the stable operation parameters of the ship's power, which include the generator speed volatility, the minimum remaining battery capacity, the average temperature of the generator coolant, and the hull temperature volatility; obtain the preset stable operation reference set of the ship's power in the database, which includes the allowable value of the speed volatility, the reference value of the minimum remaining battery capacity, the reference value of the coolant temperature, and the allowable value of the temperature volatility; based on the comparison and analysis of the generator speed volatility, the average temperature of the generator coolant, and the hull temperature volatility with the allowable value of the speed volatility, the reference value of the coolant temperature, and the allowable value of the temperature volatility respectively, obtain the hull stability comparison result and introduce the corresponding weighting factor to obtain the hull stability quantization value. Based on the analysis of the minimum remaining battery capacity and the reference value of the minimum remaining battery capacity, obtain the battery capacity comparison analysis result, and then introduce the weighting factor of the minimum remaining battery capacity for correction to obtain the correction result. Couple the correction result and the hull stability quantization value to obtain the stable operation value of the ship's power.

[0043] In this embodiment, the method for obtaining the generator speed volatility is as follows: It is measured by the speed detection tool built into the ship, where the speed detection tool is a crankshaft sensor. The method for obtaining the minimum remaining battery capacity is as follows: It is retrieved from the ship's background. The method for obtaining the average temperature of the generator coolant is as follows: It is measured by the temperature measuring device built into the ship, such as a temperature sensor. The method for obtaining the volatility of the cabin temperature is as follows: It is obtained by using the temperature sensor installed in the ship's cabin to monitor the cabin temperature in real time. The volatility of the cabin temperature refers to the temperature fluctuation speed of the cabin per unit time.

[0044] By analyzing the stable operation parameters of the ship's power system, the stable operation value of the ship's power is obtained. This takes into account the mutual influence relationships among these parameters. For example, the generator speed volatility will affect the charging efficiency and stability of the battery. A large speed fluctuation will cause the charging current to be unstable, affecting the remaining capacity and lifespan of the battery. The change in the minimum remaining battery capacity will also affect the load of the generator, and thus affect the generator speed volatility. The generator speed volatility will affect the flow and heat dissipation efficiency of the coolant. A high speed fluctuation will cause the coolant temperature to rise, and the high temperature will cause the generator efficiency to decrease, further affecting the speed stability. A low minimum remaining battery capacity will cause the generator to require a higher output power, increasing the coolant temperature. The high temperature will cause the battery capacity to decay rapidly. A large cabin temperature fluctuation may cause the coolant temperature to rise, affecting the performance of the generator. An excessively high coolant temperature will cause the cooling effect in the cabin to decrease, and thus cause the cabin temperature to rise.

[0045] The method for obtaining the stable operation value of the ship's power is as follows:

[0046] ;

[0047] ;

[0048] In the formula, represents the stable operation value of the ship's power, represents the minimum remaining battery capacity, represents the reference value of the minimum remaining battery capacity, represents the generator speed volatility, represents the allowable value of the speed volatility, represents the average temperature of the generator coolant, represents the natural constant term, represents the reference value of the coolant temperature, represents the volatility of the cabin temperature, represents the allowable value of the temperature volatility, represents the hull stability quantification value, represents the hull stability quantification weighting factor, Represents the weight factor of the minimum remaining battery capacity, Represents the weight factor of the generator speed volatility, Represents the weight factor of the average temperature of the generator coolant, Represents the weight factor of the hull temperature volatility.

[0049] It should be noted that, Represents the natural constant term (a very small value). By adding the natural constant term, it can ensure the normal processing of data and avoid problems of abnormal data processing caused by the coolant temperature being zero.

[0050] The weight factor of the minimum remaining battery capacity, the weight factor of the generator speed volatility, the weight factor of the average temperature of the generator coolant, the weight factor of the hull temperature volatility, and the weight factor of the hull stability quantification can be obtained from the database. For example, the weight factor of the minimum remaining battery capacity can be obtained by acquiring the historical minimum remaining battery capacity stored in the database and the corresponding weight factor of the minimum remaining battery capacity. Thus, a mapping set of the minimum remaining battery capacity is constructed, in which there is a one-to-one or many-to-one correspondence relationship. By inputting the data of the minimum remaining battery capacity to be used into the mapping set of the minimum remaining battery capacity, the weight factor of the minimum remaining battery capacity can be obtained. The acquisition methods of other weight factors, such as the weight factor of the generator speed volatility, the weight factor of the hull stability quantification, the weight factor of the average temperature of the generator coolant, and the weight factor of the hull temperature volatility, are the same as that of the weight factor of the minimum remaining battery capacity and can also be obtained from the mapping set. Among them, the weight factor of the generator speed volatility corresponds to the mapping set of the generator speed volatility, the weight factor of the average temperature of the generator coolant corresponds to the mapping set of the average temperature of the generator coolant, the weight factor of the hull temperature volatility corresponds to the mapping set of the hull temperature volatility, and the weight factor of the hull stability quantification corresponds to the mapping set of the hull stability quantification.

[0051] Through the comprehensive consideration of multi-dimensional parameters, it helps to comprehensively and meticulously understand the real-time operating state of the ship's power system, provides detailed data support for subsequent power regulation determination, and ensures the scientificity and effectiveness of power system regulation. By analyzing the stable operating value of the ship's power, it can accurately quantify the power supply capacity of the ship's power system, provide guarantee for the stable operation of the entire ship's power system, avoid affecting the normal operation of the ship's electrical equipment due to inaccurate analysis of the power supply capacity and power supply stability of the power system, and reduce the shipping risk of the ship.

[0052] Further, based on the analysis of the ship's power stability demand value and the ship's power stable operation value, a ship power regulation determination result is obtained. The specific method is as follows: compare the ship's power stability demand value with the ship's power stable operation value to obtain the ship power regulation determination result; if the ship's power stability demand value is above the ship's power stable operation value, the ship power regulation determination result is that the power is unqualified; if the ship's power stability demand value is less than the ship's power stable operation value, the ship power regulation determination result is that the power is qualified.

[0053] In this embodiment, by comparing the ship's power stability demand value with the ship's power stable operation value, the obtained ship power regulation determination result can accurately judge the basis for whether the power is qualified, avoiding unnecessary adjustments, and improving the efficiency and accuracy of the power system regulation. By setting clear determination criteria, it helps to quickly respond to abnormal situations in the power system and reduces the ship operation risks caused by the instability of the power system.

[0054] Further, obtain the remaining power of ship power generation and the power configuration parameters of each edge power node, and thus analyze and obtain the allocated power of each edge power node for the initial adjustment of ship power stability. The specific method is as follows: obtain the ship power generation power and the total operating power of key nodes, and perform difference processing to obtain the remaining power of ship power generation; obtain the power configuration parameters of each edge power node, and the power configuration parameters of each edge power node include the power utilization rate, minimum operating power, and ideal operating power of each edge power node; based on the power utilization rate of each edge power node and match it with the database to obtain the power distribution coefficient of each edge power node; based on the remaining power of ship power generation, the power distribution coefficient, minimum operating power, and ideal operating power of each edge power node, perform coupling analysis to obtain the allocated power of each edge power node; the specific analysis steps for the allocated power of each edge power node are as follows: compare and analyze the minimum operating power and ideal operating power of each edge power node to obtain a power comparison result, and perform multiplicative coupling based on the remaining power of ship power generation, the power comparison result, and the power distribution coefficient to obtain the allocated power of each edge power node; compare the allocated power of each edge power node with the minimum operating power corresponding to this edge power node. If the allocated power of a certain edge power node is greater than the minimum operating power, then this edge power node operates according to the allocated power and adjusts the carrier frequency of each edge power node, otherwise it operates according to the minimum operating power of this edge power node and does not perform carrier frequency adjustment; the edge power nodes include intermittently operating edge power nodes and periodically operating edge power nodes.

[0055] In this embodiment, based on the power utilization rate of each edge power node and matching with the database, the power distribution coefficient of each edge power node is obtained. The specific method is as follows: Obtain the preset power utilization rate intervals and the corresponding reference power distribution coefficients in the database, and compare them with the power utilization rates of each edge power node. If the power utilization rate of a certain edge power node is within a certain power utilization rate interval, obtain the reference power distribution coefficient corresponding to this interval as the power distribution coefficient of this edge power node.

[0056] The allocated power of each edge power node is obtained. The specific method is as follows:

[0057] ;

[0058] In the formula, represents the allocated power of the i-th edge power node, i represents the number of the edge power node, , represents the total number of edge power nodes, represents the remaining power of ship power generation, represents the minimum operating power of the i-th edge power node, represents the ideal operating power of the i-th edge power node, represents the power distribution coefficient of the i-th edge power node.

[0059] The power utilization rate of each edge power node is obtained by retrieving from the ship power monitoring and control center of the ship background management system. The minimum operating power and ideal operating power of each edge power node are obtained by querying the factory logs corresponding to each edge power node.

[0060] By calculating the remaining power of power generation and distributing it, the allocated power of the edge power node is obtained, so as to realize the reasonable distribution of the remaining power of power generation, optimize the utilization efficiency of power resources, and enhance the adaptability and stability of the ship power system under complex working conditions. By analyzing according to the power utilization rates of different devices, allocating smaller power to the power nodes with low power utilization rates and higher power to the power nodes with high power utilization rates can maximize the overall power utilization rate of the power system and maximize the normal operation effect of the ship.

[0061] It should be noted that each edge power node refers to the power node equipment that has little influence on the safety and stability of ship operation, and its operation effect has no impact on the safety of the ship. For example, the equipment for various entertainment activities on the ship.

[0062] It should be noted that the edge power nodes and key power nodes are pre-divided by the staff and stored in the ship background relationship.

[0063] Further, adjust the carrier frequencies of each edge power node. The specific method is as follows: If an edge power node is an intermittently operating edge power node, perform a difference processing on the allocated power of the edge power node and the ideal power of the edge power node to obtain a first difference, and then perform a ratio processing on the first difference and the ideal power of the edge power node to obtain a power ideal adjustment coefficient, and match it with the database to obtain a first carrier frequency adjustment factor; obtain the carrier frequency fluctuation coefficient of the intermittently operating edge power node preset in the database; adjust the initial carrier frequency of the edge power node based on the carrier frequency adjustment factor and the carrier frequency fluctuation coefficient to obtain an execution carrier frequency range, and adjust the initial carrier frequency of the edge power node to the execution carrier frequency range and maintain it; the execution carrier frequency range, the specific analysis steps are as follows: perform a coupling on the carrier frequency adjustment factor and the initial carrier frequency of the edge power node to obtain a reference execution carrier frequency, perform a multiplicative coupling on the reference execution carrier frequency and the carrier frequency fluctuation coefficient to obtain a carrier frequency coupling value, perform a difference processing on the reference execution carrier frequency and the carrier frequency coupling value to obtain the lower limit value of the execution carrier frequency range, and perform a superposition processing on the reference execution carrier frequency and the carrier frequency coupling value to obtain the upper limit value of the execution carrier frequency range, thereby obtaining the execution carrier frequency range; If the edge power node is a periodically operating edge power node, perform a difference processing on the allocated power of the edge power node and the ideal power of the edge power node to obtain a second difference, and then compare the second difference with the ideal power of the edge power node to obtain a power ideal adjustment coefficient, and match it with the database to obtain a second carrier frequency adjustment factor; adjust the initial carrier frequency of the edge power node upward based on the carrier frequency adjustment factor to obtain the execution carrier frequency.

[0064] In this embodiment, it should be noted that the method of performing a ratio processing on the first difference and the ideal power of the edge power node is as follows: divide the first difference by the ideal power of the edge power node to obtain a difference ratio, and the difference ratio is the power ideal adjustment coefficient. The method of performing a difference processing on the reference execution carrier frequency and the carrier frequency coupling value to obtain the lower limit value of the execution carrier frequency range is as follows: subtract the carrier frequency coupling value from the reference execution carrier frequency to obtain the lower limit value of the execution carrier frequency range. The method of performing a superposition processing on the reference execution carrier frequency and the carrier frequency coupling value to obtain the upper limit value of the execution carrier frequency range is as follows: add the reference execution carrier frequency and the carrier frequency coupling value to obtain the upper limit value of the execution carrier frequency range.

[0065] Obtain the ideal power adjustment coefficient. The specific method is as follows: Subtract the ideal power of the edge power node from the allocated power of the edge power node to obtain a second difference, and divide the second difference by the ideal power of the edge power node to obtain the ideal power adjustment coefficient.

[0066] The carrier frequency fluctuation coefficient refers to the allowable fluctuation degree of the carrier frequency of the intermittently operating edge power node during normal operation. The execution carrier frequency range refers to the allowable fluctuation range of the carrier frequency of the intermittently operating edge power node during normal operation.

[0067] Adjusting the carrier frequencies of each edge power node to maintain a relatively high level helps reduce low-frequency harmonics, thereby reducing electromagnetic interference to the external environment. At the same time, it enhances electromagnetic compatibility. Through reasonable selection of carrier frequencies, it is possible to improve the current waveform and reduce motor losses while indirectly reducing additional losses.

[0068] Obtain the ideal power adjustment coefficient and match it with the database to obtain the first carrier frequency adjustment factor. The specific method is as follows: Obtain the preset ideal power adjustment coefficient intervals and the corresponding reference first carrier frequency adjustment factors in the database, and compare them with the ideal power adjustment coefficient. If the ideal power adjustment coefficient is within a certain preset ideal power adjustment coefficient interval, then obtain the reference first carrier frequency adjustment factor corresponding to this ideal power adjustment coefficient interval as the first carrier frequency adjustment factor.

[0069] Conduct separate analyses according to the types of edge power nodes. If the edge power node is an intermittently operating edge power node, then analyze and obtain the execution carrier frequency range. If the edge power node is a periodically operating edge power node, then analyze and obtain the execution carrier frequency. This is because the operating characteristics of edge power nodes are different. For example, the operating characteristics of intermittent devices (such as air conditioners and water pumps) are: non-continuous operation, frequent start and stop. At this time, the power mutation is large and dynamic adaptation is required. Therefore, an elastic frequency range is needed to buffer the impact, absorb the power impact, and reduce harmonic distortion. The operating characteristics of periodic devices (such as data servers) are: scheduled tasks, regular operation, and relatively stable load. Therefore, precise frequency locking is required to ensure timing and the stability of the task cycle, and to avoid clock drift.

[0070] For intermittently operating edge power nodes, by calculating the execution carrier frequency range and adjusting to this range, it is possible to flexibly respond to fluctuations in node power demand and ensure power stability and power quality. For periodically operating edge power nodes, the execution carrier frequency is obtained by upward adjustment based on the carrier frequency adjustment factor, which can enable stable operation and reduce harmonic interference, ensuring that different types of edge power nodes can operate in their optimal states, thereby guaranteeing the overall performance and reliability of the ship power system. The power demand of intermittently operating edge power nodes fluctuates greatly and irregularly. For example, some auxiliary equipment may start and stop intermittently according to the actual working conditions, resulting in instantaneous changes in power demand. Therefore, the carrier frequency needs to be flexibly adjusted within a certain range to adapt to this fluctuation. The power demand of periodically operating edge power nodes shows regular changes. For example, the power demand of the ship's propulsion motor is relatively stable and shows periodic fluctuations at a stable sailing speed. Therefore, the carrier frequency can be set to a fixed value to match its periodic characteristics.

[0071] The second carrier frequency adjustment factor is obtained, and the specific steps are as follows: Obtain the preset power ideal adjustment coefficient intervals in the database and the corresponding reference second carrier frequency adjustment factors for each power ideal adjustment coefficient interval, and compare them with the power ideal adjustment coefficient. If the power ideal adjustment coefficient is within a certain preset power ideal adjustment coefficient interval, obtain the reference second carrier frequency adjustment factor corresponding to this power ideal adjustment coefficient interval as the second carrier frequency adjustment factor.

[0072] The carrier frequency upwardly adjusts the initial carrier frequency of this edge power node based on the carrier frequency adjustment factor to obtain the execution carrier frequency. The specific method is as follows: ; where represents the execution carrier frequency of the i-th edge power node, represents the initial carrier frequency of the i-th edge power node, represents the carrier frequency adjustment factor of the i-th edge power node.

[0073] Further, obtain the operation stability parameters of the key nodes after the initial adjustment of the ship's power stability, and analyze to obtain the operation determination results of the key nodes. The specific method is as follows: Obtain the operation stability parameters of the key nodes. The operation stability parameters of the key nodes include the average voltage volatility rate, the average communication error rate, the average operation frequency deviation rate, and the average harmonic distortion rate. Obtain the preset key node operation reference set in the database, and compare it with the operation stability parameters of the key nodes respectively to obtain the comparison result, and introduce the corresponding weighting factor to obtain the key node operation equilibrium value. Obtain the preset key node operation equilibrium threshold in the database, and compare it with the key node operation equilibrium value. If the key node operation equilibrium value is greater than the key node operation equilibrium threshold, the key node operation determination result is stable operation; otherwise, the key node operation determination result is unstable operation. The key node operation fluctuation reference set includes the allowable value of voltage volatility rate, the allowable value of communication error rate, the allowable value of operation frequency deviation rate, and the allowable value of harmonic distortion rate.

[0074] In this embodiment, the operation stability parameters of the key nodes include the average voltage volatility rate, the average communication error rate, the average operation frequency deviation rate, and the average harmonic distortion rate. Since there are multiple devices under the key nodes, these operation stability parameters refer to the average data of all devices under the key nodes. The method for obtaining the average voltage volatility rate is as follows: Use the voltage monitoring instrument built in the ship to obtain the voltage. The average voltage volatility rate refers to the average value of the voltage volatility rates of all devices under the key nodes. The method for obtaining the average communication error rate is as follows: Use the error code meter built in the ship to measure the communication error rate. The average communication error rate refers to the average value of the communication error rates of all devices under the key nodes. The method for obtaining the average operation frequency deviation rate is as follows: Measure it through the frequency meter built in the ship. The average operation frequency deviation rate refers to the average value of the operation frequency deviations (the difference between the corresponding maximum value and the minimum value) of each key node. The method for obtaining the average harmonic distortion rate is as follows: Measure it using the harmonic analyzer built in the ship. The average harmonic distortion rate refers to the average value of the larger harmonic distortion rates of each key node.

[0075] Obtaining the operating equilibrium value of the key node by analyzing the operating stability parameters of the key node takes into account the mutual influence relationships among these parameters. For example, voltage fluctuations cause the switching actions of key node devices (such as frequency converters and rectifiers) to be inaccurate, directly pushing up the harmonic distortion rate. Voltage instability weakens the compensation effect of the filter, further amplifying the harmonic pollution. Frequency deviation disrupts the clock synchronization mechanism of communication devices (such as PLL phase-locked loop unlocking), resulting in signal sampling misalignment and an increase in the bit error rate. A high bit error rate triggers incorrect control instructions (such as mis-triggering a relay), exacerbating the sudden change in the generator load and further deteriorating the frequency stability. Harmonic current generates additional voltage drops on the grid impedance, causing voltage waveform distortion (such as voltage sags or spikes), increasing the voltage fluctuation rate. At the same time, the saturation of the transformer core caused by harmonics amplifies the hysteresis loss, resulting in local temperature rise and reducing the voltage regulation ability, forming a vicious cycle.

[0076] The operating equilibrium value of the key node is obtained, and the specific method is as follows:

[0077] ;

[0078] In the formula, represents the operating equilibrium value of the key node, represents the average value of the voltage fluctuation rate, represents the allowable value of the voltage fluctuation rate, represents the average value of the communication bit error rate, represents the allowable value of the communication bit error rate, represents the average value of the operating frequency deviation, represents the allowable value of the operating frequency deviation, represents the average value of the harmonic distortion rate, represents the allowable value of the harmonic distortion rate, represents the weighting factor of the voltage fluctuation rate, represents the weighting factor of the communication bit error rate, The weighting factor of the operating frequency deviation, represents the weighting factor of the harmonic distortion rate.

[0079] The weighting factor of the voltage fluctuation rate, the weighting factor of the communication bit error rate, the weighting factor of the frequency deviation, and the weighting factor of the harmonic distortion rate can be obtained from the database. For example, the weighting factor of the voltage fluctuation rate can be obtained by acquiring the historical voltage fluctuation rate stored in the database and the corresponding weighting factor of the voltage fluctuation rate, thereby constructing a voltage fluctuation rate mapping set, in which there is a one-to-one or many-to-one correspondence relationship. By inputting the voltage fluctuation rate data to be used into the voltage fluctuation rate mapping set, the weighting factor of the voltage fluctuation rate can be obtained.

[0080] The acquisition methods of other weighting factors, such as the communication error rate weighting factor, the frequency deviation weighting factor, and the harmonic distortion rate weighting factor, are the same as that of the voltage volatility weighting factor, and they can also be obtained from the mapping set. Among them, the communication error rate weighting factor corresponds to the communication error rate mapping set, the frequency deviation weighting factor corresponds to the frequency deviation mapping set, and the harmonic distortion rate weighting factor corresponds to the harmonic distortion rate mapping set. Obtaining the key node operation equilibrium value by analyzing the operation stability parameters of the key nodes helps to accurately evaluate the operation determination result of the key nodes, determine whether the power system operates stably under the initial regulation, and through the determination, it can be known whether the generator equipment needs to be adjusted, avoiding blind adjustment.

[0081] Furthermore, obtain the ship power stable operation value and the key node operation equilibrium value after the initial adjustment of ship power stability, and then perform generator adjustment to obtain the generator operation execution parameters. The specific method is as follows: obtain the ship power stable operation value after the initial adjustment of ship power stability, and match it with the database to obtain the first generator operation adjustment factor; obtain the preset operation equilibrium threshold in the database, and perform difference processing with the key node operation equilibrium value to obtain the operation equilibrium difference, and compare the operation equilibrium difference with the operation equilibrium threshold to obtain the operation stability adjustment factor; based on the operation stability adjustment factor and match it with the database to obtain the second generator operation adjustment factor; based on the first generator operation adjustment factor and the second generator operation adjustment factor, adjust the current speed of the generator upward to obtain the generator working speed, and adjust the generator speed to work according to the generator working speed; based on the generator working speed and match it with the database to obtain the necessary duration of generator working adjustment, take the moment when the current speed of the generator works according to the generator working speed as the starting moment, and define the generator working adjustment period; obtain the generator output power change rate within the generator working adjustment period and the preset generator output power change rate threshold in the database, and compare them. If the generator output power change rate is above the generator output power change rate threshold, it means that the ship power adjustment determination result is qualified for power, and keep the initial excitation current of the generator unchanged. If the generator output power change rate is less than the generator output power change rate threshold, it means that the ship power adjustment determination result is unqualified, and adjust the initial excitation current of the generator to obtain the generator working excitation current, and adjust the initial excitation current of the generator to work according to the generator working excitation current.

[0082] In this embodiment, it should be noted that the current speed of the generator refers to the speed of the generator before the generator adjustment, and the current excitation current of the generator refers to the excitation current of the generator before the generator adjustment. The time length of the generator working adjustment period is the necessary duration of generator working adjustment.

[0083] Obtain the stable operation value of the ship's power after the initial adjustment of the ship's power stability, and match it with the database to obtain the first adjustment factor for the generator operation. The specific method is as follows: Obtain the preset stable operation value intervals of the ship's power after the initial adjustment of the ship's power stability in the database and the corresponding first reference adjustment factors for the generator operation corresponding to each stable operation value interval of the ship's power after the initial adjustment of the ship's power stability, and compare them with the stable operation value of the ship's power after the initial adjustment of the ship's power stability. If the stable operation value of the ship's power after the initial adjustment of the ship's power stability is within a certain preset stable operation value interval of the ship's power after the initial adjustment of the ship's power stability, then obtain the corresponding first reference adjustment factor for the generator operation as the first adjustment factor for the generator operation.

[0084] Based on the operation stability adjustment factor and match it with the database to obtain the second adjustment factor for the generator operation. The specific method is as follows: Obtain the preset adjustment factor intervals of the operation stability in the database and the corresponding second reference adjustment factors for the generator operation corresponding to each adjustment factor interval of the operation stability, and compare them with the operation stability adjustment factor. If the operation stability adjustment factor is within a certain preset adjustment factor interval of the operation stability, then obtain the corresponding second reference adjustment factor for the generator operation as the second adjustment factor for the generator operation.

[0085] Based on the first adjustment factor for the generator operation and the second adjustment factor for the generator operation, adjust the current speed of the generator upward to obtain the working speed of the generator. The specific method is as follows:

[0086] ;

[0087] In the formula, represents the working speed of the generator, represents the current speed of the generator, represents the first adjustment factor for the generator operation, represents the second adjustment factor for the generator operation.

[0088] By comparing the change rate of the generator output power during the generator working adjustment period with the preset threshold of the generator output power change rate in the database, if the change rate of the generator output power is above the threshold of the generator output power change rate, it means that the ship's power adjustment determination result is power qualified, and keep the initial excitation current of the generator unchanged, indicating that in this case, the adjustment effect can be achieved by only adjusting the speed of the generator, indicating that the ship's power system can meet the current power demand, so there is no need to adjust the initial excitation current of the generator.

[0089] If the change rate of the generator output power is less than the threshold of the change rate of the generator output power, it indicates that the determination result of the ship's power regulation is unqualified, and the initial excitation current of the generator is adjusted to obtain the working excitation current of the generator. By monitoring the change rate of the output power and adjusting the excitation current accordingly, the power system of the ship can be supplied with power more quickly and better, maintaining the stability of the ship's power consumption. At the same time, by adjusting the excitation current according to the actual power demand, the energy use efficiency can be optimized, unnecessary energy waste can be reduced, and the power generation efficiency can be improved.

[0090] Further, the initial excitation current of the generator is adjusted to obtain the working excitation current of the generator. The specific method is as follows: Based on the change rate of the generator output power and the threshold of the change rate of the generator output power, a difference processing is performed to obtain the difference of the change rate of the generator output power, and the difference of the change rate of the generator output power is compared and analyzed with the threshold of the change rate of the generator output power to obtain the power change rate gap factor; Based on the power change rate gap factor, a match is made with the database to obtain the excitation current adjustment ratio, and the initial excitation current of the generator is adjusted based on the excitation current adjustment ratio to obtain the working excitation current of the generator.

[0091] In this embodiment, it should be noted that based on the change rate of the generator output power and the threshold of the change rate of the generator output power, a difference processing is performed to obtain the difference of the change rate of the generator output power. Specifically, the difference of the change rate of the generator output power is obtained by subtracting the change rate of the generator output power from the threshold of the change rate of the generator output power.

[0092] Based on the power change rate gap factor, a match is made with the database to obtain the excitation current adjustment ratio. The specific method is as follows: Obtain the preset power change rate gap factor intervals and the corresponding reference excitation current adjustment ratios in the database, and compare them with the power change rate gap factor. If the power change rate gap factor is within a certain preset power change rate gap factor interval, the corresponding reference excitation current adjustment ratio of this interval is obtained as the excitation current adjustment ratio.

[0093] It should be noted that based on the excitation current adjustment ratio, the initial excitation current of the generator is adjusted to obtain the working excitation current of the generator. The adjustment direction is upward adjustment. The specific method is as follows: In the formula, represents the working excitation current of the generator, represents the initial excitation current of the generator, represents the excitation current adjustment ratio.

[0094] By adjusting the generator speed and excitation current, the continuous and stable power supply of the ship under complex sea conditions is ensured. In addition, by comparing the change rate of the generator output power with a preset threshold, it is decided whether to adjust the excitation current, and an adjustment strategy is formulated based on the actual operation data, which helps to maintain the stability of the generator output power. By precisely adjusting the excitation current, the output power of the generator can be optimized, improving the overall efficiency and stability of the ship's power system, reducing potential risks caused by the instability of the power system, and further enhancing the ship's power system's ability to cope with different working conditions.

[0095] Such as Figure 3 , which is a schematic structural diagram of a shipping risk assessment system based on a quantization model provided by an embodiment of the present application. The shipping risk assessment system based on a quantization model provided by an embodiment of the present application includes: a power demand analysis module, a power stable operation analysis module, a stability judgment module, an initial stability adjustment module, a stability adjustment result determination module, and a generator adjustment module; wherein, the power demand analysis module is used to obtain the aerodynamic influence parameter to analyze the aerodynamic influence fluctuation value, obtain the hydrodynamic influence parameter to analyze the hydrodynamic influence fluctuation value, and input them into a preset quantization model to analyze and obtain the shipping risk driving value, and thus match to obtain the ship's power stable demand value; the power stable operation analysis module is used to obtain the ship's power operation stable parameters and analyze to obtain the ship's power stable operation value; the stability judgment module is used to analyze based on the ship's power stable demand value and the ship's power stable operation value to obtain the ship's power adjustment determination result. If the ship's power adjustment determination result is that the power is qualified, the initial ship's power stability adjustment is not executed, otherwise the initial stability adjustment module is executed; the initial stability adjustment module is used to obtain the ship's power generation surplus power and the power configuration parameters of each edge power node, and thus analyze to obtain the allocated power of each edge power node for the initial ship's power stability adjustment; the stability adjustment result determination module is used to obtain the operation stable parameters of the key nodes after the initial ship's power stability adjustment and analyze to obtain the key node operation determination result. If the key node operation determination result is that the operation is stable, the generator adjustment is not performed, otherwise the generator adjustment module is executed; the generator adjustment module is used to obtain the ship's power stable operation value and the key node operation balance value after the initial ship's power stability adjustment, and thus perform generator adjustment to obtain the generator operation execution parameters.

[0096] In summary, in this embodiment, the aerodynamic influence fluctuation value is obtained by analyzing the aerodynamic influence parameters, the hydrodynamic influence fluctuation value is obtained by analyzing the hydrodynamic influence parameters, and both are input into a preset quantization model to analyze and obtain the shipping risk driving value, so as to match and obtain the ship power stability demand value, and then the ship power is stably adjusted, realizing the optimized adjustment of the ship power system under strong convective weather, reducing the ship operation risk, effectively solving the problem in the prior art that the shipping risk increases due to the interference of strong convective weather on the ship power system, and realizing the stable operation of the ship power system.

[0097] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0098] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0099] These computer program instructions can also be stored in a computer-readable memory capable of guiding the computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device realizes the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0100] These computer program instructions can also be loaded onto the computer or other programmable data processing devices, so that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1Steps of the functions specified in one or more boxes.

[0101] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0102] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A shipping risk assessment method based on a quantization model, characterized in that It includes the following steps: S1. Obtain the aerodynamic influence parameters to analyze and obtain the aerodynamic influence fluctuation value, obtain the hydrodynamic influence parameters to analyze and obtain the hydrodynamic influence fluctuation value, and input them into a preset quantization model. Analyze to obtain the shipping risk driving value, and thus match to obtain the ship's power stability demand value; S2. Obtain the ship's power operation stability parameters and analyze to obtain the ship's power stable operation value; S3. Based on the analysis of the ship's power stability demand value and the ship's power stable operation value, obtain the ship's power adjustment determination result. If the ship's power adjustment determination result is that the power is qualified, do not perform the initial adjustment of the ship's power stability. Otherwise, execute S4; S4. Obtain the remaining power of the ship's power generation and the power configuration parameters of each edge power node, and thus analyze to obtain the distributed power of each edge power node to perform the initial adjustment of the ship's power stability; S5. Obtain the operation stability parameters of the key nodes after the initial adjustment of the ship's power stability, and analyze to obtain the key node operation determination result. If the key node operation determination result is that the operation is stable, do not perform the generator adjustment. Otherwise, execute S6; S6. Obtain the ship's power stable operation value and the key node operation balance value after the initial adjustment of the ship's power stability, and thus perform the generator adjustment to obtain the generator operation execution parameters; The method for obtaining the ship's power operation stability parameters and analyzing to obtain the ship's power stable operation value is as follows: Obtain the ship's power operation stability parameters, where the ship's power operation stability parameters include the generator speed volatility, the minimum remaining battery capacity, the average temperature of the generator coolant, and the hull temperature volatility; Obtain the preset ship's power operation stability reference set in the database, where the ship's power operation stability reference set includes the allowable value of the speed volatility, the reference value of the minimum remaining battery capacity, the reference value of the coolant temperature, and the allowable value of the temperature volatility; Based on the comparison and analysis of the generator speed volatility, the average temperature of the generator coolant, and the hull temperature volatility with the allowable value of the speed volatility, the reference value of the coolant temperature, and the allowable value of the temperature volatility respectively, obtain the hull stability comparison result and introduce the corresponding weighting factor to obtain the hull stability quantization value. Based on the analysis of the minimum remaining battery capacity and the reference value of the minimum remaining battery capacity, obtain the battery capacity comparison analysis result, and then introduce the weighting factor of the minimum remaining battery capacity for correction to obtain the correction result. Couple the correction result and the hull stability quantization value to obtain the ship's power stable operation value; The method for obtaining the operation stability parameters of the key nodes after the initial adjustment of the ship's power stability and analyzing to obtain the key node operation determination result is as follows: Obtain the operation stability parameters of the key nodes, where the operation stability parameters of the key nodes include the average voltage volatility, the average communication error rate, the average operation frequency deviation, and the average harmonic distortion rate; Obtain the preset key node operation reference set in the database, and perform comparison processing with the operation stability parameters of the key nodes respectively to obtain the comparison processing result, and introduce the corresponding weighting factor to obtain the key node operation balance value; Obtain the preset key node operation balance threshold in the database and compare it with the key node operation balance value. If the key node operation balance value is greater than the key node operation balance threshold, the key node operation determination result is stable operation; otherwise, the key node operation determination result is unstable operation. The key node operation reference set includes the allowable value of voltage fluctuation rate, the allowable value of communication error rate, the allowable value of operating frequency deviation, and the allowable value of harmonic distortion rate. Input the aerodynamic influence fluctuation value and the hydrodynamic influence fluctuation value into a preset quantization model, and analyze to obtain the shipping risk driving value. The expression of the quantization model is: ； In the formula, represents the shipping risk driving value, represents the aerodynamic influence fluctuation value, represents the hydrodynamic influence fluctuation value, represents the environmental influence fluctuation weighting factor, represents the sea level change fluctuation weighting factor.

2. The shipping risk assessment method based on a quantization model according to claim 1, characterized in that: The obtained shipping risk driving value is used to match and obtain the ship's power stability demand value. The specific method is: Obtain the preset quantization model in the database. Based on the aerodynamic influence fluctuation value and the hydrodynamic influence fluctuation value as the input variables of the quantization model, input them into the quantization model, and after being processed by the quantization model, output the shipping risk driving value. Obtain the preset shipping risk driving value intervals in the database and the corresponding reference ship power stability demand values for each interval, and compare them with the shipping risk driving value. If the shipping risk driving value is within a certain preset shipping risk driving value interval, obtain the corresponding reference ship power stability demand value for that interval as the ship power stability demand value.

3. The shipping risk assessment method based on a quantization model according to claim 1, wherein: Based on the analysis of the ship power stability demand value and the ship power stable operation value, obtain the ship power regulation determination result. The specific method is: Compare the ship power stability demand value and the ship power stable operation value to obtain the ship power regulation determination result. If the ship power stability demand value is above the ship power stable operation value, the ship power regulation determination result is power unqualified. If the ship power stability demand value is less than the ship power stable operation value, the ship power regulation determination result is power qualified.

4. The shipping risk assessment method based on a quantization model according to claim 1, wherein: Obtain the ship's power generation surplus power and the power configuration parameters of each edge power node, and analyze to obtain the allocated power of each edge power node for the initial adjustment of ship power stability. The specific method is: Obtain the ship's power generation power and the total operation power of the key node, and perform difference processing to obtain the ship's power generation surplus power. Obtain the power configuration parameters of each edge power node. The power configuration parameters of each edge power node include the power utilization rate, the minimum operating power, and the ideal operating power of each edge power node. Based on the power utilization rate of each edge power node and match it with the database to obtain the power distribution coefficient of each edge power node. Based on the ship's power generation surplus power, the power distribution coefficients, the minimum operating power, and the ideal operating power of each edge power node, perform coupling analysis to obtain the allocated power of each edge power node. The allocated power of each edge power node. The specific analysis steps are: compare the minimum operating power and the ideal operating power of each edge power node to obtain the power comparison result, and perform multiplicative coupling based on the ship's power generation surplus power, the power comparison result, and the power distribution coefficient to obtain the allocated power of each edge power node. Based on the allocated power of each edge power node and comparing it with the minimum operating power corresponding to the edge power node, if the allocated power of a certain edge power node is greater than the minimum operating power, then the edge power node operates according to the allocated power and adjusts the carrier frequencies of each edge power node; otherwise, it operates according to the minimum operating power of the edge power node and does not perform carrier frequency adjustment; The edge power nodes include intermittently operating edge power nodes and periodically operating edge power nodes.

5. The shipping risk assessment method based on a quantization model according to claim 4, wherein: The method for adjusting the carrier frequencies of each edge power node is specifically as follows: If an edge power node is an intermittently operating edge power node, then perform a difference processing on the allocated power of the edge power node and the ideal power of the edge power node to obtain a first difference, and perform a ratio processing on the first difference and the ideal power of the edge power node to obtain a power ideal adjustment coefficient, and match it with the database to obtain a first carrier frequency adjustment factor; Obtain the carrier frequency fluctuation coefficient of the intermittently operating edge power node preset in the database; Based on the carrier frequency adjustment factor and the carrier frequency fluctuation coefficient, adjust the initial carrier frequency of the edge power node to obtain an execution carrier frequency range, and adjust the initial carrier frequency of the edge power node to be maintained within the execution carrier frequency range; For the execution carrier frequency range, the specific analysis steps are as follows: Couple the carrier frequency adjustment factor with the initial carrier frequency of the edge power node to obtain a reference execution carrier frequency, perform multiplicative coupling on the reference execution carrier frequency and the carrier frequency fluctuation coefficient to obtain a carrier frequency coupling value, perform a difference processing on the reference execution carrier frequency and the carrier frequency coupling value to obtain the lower limit value of the execution carrier frequency range, and perform a superposition processing on the reference execution carrier frequency and the carrier frequency coupling value to obtain the upper limit value of the execution carrier frequency range, thereby obtaining the execution carrier frequency range; If the edge power node is a periodically operating edge power node, then perform a difference processing on the allocated power of the edge power node and the ideal power of the edge power node to obtain a second difference, and compare the second difference with the ideal power of the edge power node to obtain a power ideal adjustment coefficient, and match it with the database to obtain a second carrier frequency adjustment factor; The carrier frequency is adjusted upward based on the carrier frequency adjustment factor for the initial carrier frequency of the edge power node to obtain the execution carrier frequency.

6. The shipping risk assessment method based on a quantization model according to claim 1, wherein: The method for obtaining the stable operation value of the ship's power and the operation balance value of the key nodes after the initial adjustment of the ship's power stability, and then performing generator adjustment to obtain the generator operation execution parameters is specifically as follows: Obtain the stable operation value of the ship's power after the initial adjustment of the ship's power stability and match it with the database to obtain the first generator operation adjustment factor; Obtain the preset operation balance threshold in the database, perform a difference processing with the operation balance value of the key node to obtain an operation balance difference, and compare the operation balance difference with the operation balance threshold to obtain an operation stability adjustment factor; Based on the operation stability adjustment factor and match it with the database to obtain the second generator operation adjustment factor; Based on the first adjustment factor of generator operation and the second adjustment factor of generator operation, the current speed of the generator is adjusted upward to obtain the working speed of the generator, and the generator speed is adjusted to work at this working speed of the generator; Based on the matching of the working speed of the generator with the database, the necessary duration for generator working adjustment is obtained. The moment when the current speed of the generator works at this working speed of the generator is taken as the starting moment, and the working adjustment period of the generator is determined; Obtain the change rate of the generator output power within the working adjustment period of the generator and the threshold of the generator output power change rate preset in the database, and compare them. If the change rate of the generator output power is above the threshold of the generator output power change rate, it means that the ship power adjustment determination result is power qualified, and the initial excitation current of the generator remains unchanged. If the change rate of the generator output power is less than the threshold of the generator output power change rate, it means that the ship power adjustment determination result is unqualified, and the initial excitation current of the generator is adjusted to obtain the working excitation current of the generator, and the initial excitation current of the generator is adjusted to work at this working excitation current of the generator.

7. The shipping risk assessment method based on a quantization model according to claim 6, characterized in that: The method of adjusting the initial excitation current of the generator to obtain the working excitation current of the generator is as follows: Based on the change rate of the generator output power and the threshold of the generator output power change rate, perform difference processing to obtain the difference value of the generator output power change rate, and compare and analyze this difference value of the generator output power change rate with the threshold of the generator output power change rate to obtain the power change rate gap factor; Based on the matching of the power change rate gap factor with the database, obtain the excitation current adjustment ratio, and adjust the initial excitation current of the generator based on the excitation current adjustment ratio to obtain the working excitation current of the generator.

8. A system for applying a shipping risk assessment method based on a quantization model according to any one of claims 1-7, characterized in that, Including: Power demand analysis module, power stable operation analysis module, stability judgment module, initial stability adjustment module, stability adjustment result determination module, and generator adjustment module; Among them, the power demand analysis module is used to obtain the air dynamic influence parameter to analyze the air dynamic influence fluctuation value, obtain the water dynamic influence parameter to analyze the water dynamic influence fluctuation value, and input them into the preset quantization model to analyze and obtain the shipping risk driving value, thereby matching and obtaining the ship power stable demand value; The power stable operation analysis module is used to obtain the ship power operation stable parameters and analyze the ship power stable operation value; The stability judgment module is used to analyze based on the ship power stable demand value and the ship power stable operation value to obtain the ship power adjustment determination result. If the ship power adjustment determination result is power qualified, the initial ship power stability adjustment is not executed, otherwise the initial stability adjustment module is executed; The initial stability adjustment module is used to obtain the remaining power of ship power generation and the power configuration parameters of each edge power node, and thereby analyze the allocated power of each edge power node to perform the initial ship power stability adjustment; The stable adjustment result determination module is used to obtain the operation stability parameters of key nodes after the initial adjustment of the ship's power stability, analyze and obtain the operation determination results of key nodes. If the operation determination result of the key node is stable operation, no generator adjustment is performed; otherwise, the generator adjustment module is executed. The generator adjustment module is used to obtain the stable operation value of the ship's power and the operation balance value of key nodes after the initial adjustment of the ship's power stability, and thereby perform generator adjustment to obtain the generator operation execution parameters.

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