A multi-source environmental parameter fusion ship-mounted carbon capture intelligent regulation method and system

Abstract

The present application relates to the technical field of computerized control of industrial processes, and in particular to a shipborne carbon capture intelligent regulation and control method and system based on multi-source environmental parameter fusion. The method comprises: quantifying the temporary storage safety state and the storage capacity consumption rate by calculating the dry ice generation area ratio of the storage tank and the storage consumption rate prediction ratio; extracting conflict instructions and time sequence lock relationship based on the mineralization start-stop condition parameter group; clustering the working conditions characterized by conflict instructions and time sequence lock; executing the regulation and control strategy of survival priority in the same cluster and conflict resolution in different clusters; and realizing closed-loop control of product accumulation under polar closed conditions. When the temporary storage safety deteriorates and the consumption lock is superimposed, the present application executes a load reduction response with the primary goal of ensuring the safety of the storage tank, and when there is a single conflict, it executes a targeted conflict resolution strategy, effectively overcoming the defect that the existing single-loop control architecture lacks closed-loop control capability for product accumulation under polar closed self-sustaining conditions.

Description

Technical Field

[0001] This invention relates to the field of computerized control technology for industrial processes, and in particular to a method and system for intelligent control of shipborne carbon capture based on the fusion of multiple environmental parameters. Background Technology

[0002] Multi-source environmental parameters refer to environmental information acquired by polar research vessels during navigation and operations through various sensors and external data sources, including weather forecast data, ice condition data, seawater micro-ice crystal concentration data, ambient temperature data, and tank wall temperature data. Shipborne carbon capture refers to a process system installed on ships to separate and collect carbon dioxide from the flue gas of main engines and generator sets. Existing shipborne carbon capture control methods mainly rely on single-loop feedback control, which monitors single process variables such as flue gas flow rate, absorber temperature, or carbon capture rate, and triggers adjustment actions based on preset thresholds. In recent years, these methods have made some progress in improving carbon capture efficiency on near-shore merchant ships, and some studies have begun to introduce environmental parameters as feedforward compensation, enabling the system to adapt to changes in external conditions within a certain range.

[0003] However, existing control methods have significant shortcomings in their control architecture when facing the special conditions of long-term, unloading windows in polar regions. The control boundary of existing methods terminates at the moment carbon dioxide desorption is completed and delivered to the storage unit, failing to incorporate the safety status of the storage unit and the product digestibility into the control loop. When drastic fluctuations in environmental parameters cause logical conflicts between storage risk assessment and digestibility initiation conditions, the existing single-loop control architecture struggles to perceive and coordinate the contradictory relationships between multiple control objectives, lacking the ability to collaboratively manage the capture process, temporary storage safety, and digestibility disposal as a unified entity.

[0004] Therefore, there is an urgent need to study an intelligent control method that can adapt to the closed and self-sustaining conditions of polar regions, combining environmental parameter integration with the whole-process control of products, in order to overcome the shortcomings of the existing control architecture in lacking proactive intervention means when dealing with the accumulated safety risks of products. Summary of the Invention

[0005] To overcome the shortcomings of lacking closed-loop control over product accumulation, this invention provides a smart control method and system for shipborne carbon capture based on the fusion of multiple environmental parameters.

[0006] The technical implementation scheme of the present invention is: a smart control method for shipborne carbon capture based on the fusion of multi-source environmental parameters, comprising the following steps: S1: Collect multi-source environmental parameters and the temperature of each area of ​​the tank wall and calculate the dry ice generation area ratio of the tank. Collect meteorological forecast data, ice condition data and ship maneuver plan data from the multi-source environmental parameters and calculate the storage consumption rate prediction ratio. S2: Collect seawater micro-ice crystal concentration data and ambient temperature data from multiple environmental parameters and determine the mineralization start-up and shutdown condition parameter group. Based on the dry ice generation area ratio of the storage tank and the predicted storage consumption rate ratio, generate temporary storage safety control instructions and consumption rate control instructions respectively, and extract the conflict instruction set. S3: Generate mineralization start-stop control commands based on mineralization start-stop condition parameter group and extract timing lock-up command sequence set; generate matching state judgment rules and mineralization start-stop control commands based on temperature coupling contradiction relationship within mineralization start-stop condition parameter group. S4: Perform operating condition clustering based on the conflict instruction set and the timing lock-up instruction sequence set, and execute control based on the clustering results and the matching state judgment rules and mineralization start-stop control instructions.

[0007] Preferably, the step of collecting multi-source environmental parameters and temperatures of various regions of the tank wall and calculating the dry ice generation area ratio of the tank includes: Calculate the temperature difference between each region of the tank wall and the triple point temperature of carbon dioxide. When the difference is negative, mark the region as the dry ice generation region. The total area of ​​the dry ice generation zone is statistically analyzed, and the proportion of the total area of ​​the dry ice generation zone to the total wall area of ​​the storage tank is calculated. This proportion is defined as the dry ice generation area ratio of the storage tank, and the dry ice generation area ratio of the storage tank is used as a quantitative indicator of the impact of multi-source environmental parameters on the temporary storage safety status.

[0008] Preferably, the step of collecting meteorological forecast data, ice condition data, and ship maneuvering plan data from multiple environmental sources and calculating the storage consumption rate prediction ratio includes: Extracting future ambient temperature sequences from meteorological forecast data; Generate future ship carbon emission load sequences based on ice condition data and ship maneuvering plan data; Align the future ambient temperature sequence with the future ship carbon emission load sequence on the time axis, and take the common time interval after alignment as the future time window; The carbon emission rate of each period in the future ship carbon emission load sequence is subtracted from the planned processing rate of the mineralization module for each corresponding period in the future time window. The difference is then integrated over time within the future time window to obtain the predicted value of storage capacity occupancy in the future time window. The ratio of the predicted value to the product of the current storage capacity consumption rate and the duration of the future time window is calculated and defined as the storage consumption rate prediction ratio. The storage consumption rate prediction ratio serves as a quantitative indicator of the impact of multi-source environmental parameters on the available storage capacity consumption rate.

[0009] Preferably, the step of collecting seawater micro-ice crystal concentration data and ambient temperature data from multiple environmental parameters and determining the mineralization start-up and shutdown condition parameter set includes: The ice blockage risk value of the seawater intake pipeline of the mineralization module is calculated based on the seawater micro-ice crystal concentration data. The preheating energy consumption value required for the start-up of the mineralization module and the solidification safety level value after the mineralization products are discharged are calculated based on the ambient temperature data. The ice blockage risk value, preheating energy consumption value and solidification safety level value are collectively defined as the mineralization start-up and shutdown condition parameter group. The mineralization start-up and shutdown condition parameter group serves as a quantitative indicator of the influence of multi-source environmental parameters on the start-up and shutdown decision of the mineralization module.

[0010] Preferably, the step of generating temporary storage safety control instructions and consumption rate control instructions based on the dry ice generation area ratio and storage consumption rate prediction ratio of the storage tank, and extracting a set of conflict instructions, includes: The temporary storage safety control instruction is generated based on the dry ice generation area ratio of the storage tank; when the dry ice generation area ratio of the storage tank exceeds the preset safety threshold, the temporary storage safety control instruction is to reduce the carbon capture rate; when the dry ice generation area ratio of the storage tank does not exceed the preset safety threshold, the temporary storage safety control instruction is to maintain the carbon capture rate. Consumption rate control instructions are generated based on the storage consumption rate prediction ratio; when the storage consumption rate prediction ratio exceeds the preset consumption threshold, the consumption rate control instruction is to start the mineralization module; when the storage consumption rate prediction ratio does not exceed the preset consumption threshold, the consumption rate control instruction is to maintain the carbon capture rate. The temporary safety control command and the consumption rate control command are compared one by one. When the temporary safety control command is to reduce the carbon capture rate and the consumption rate control command is to maintain the carbon capture rate, the command pair is determined to be a conflicting command pair. All command pairs determined to be conflicting command pairs are extracted to form a conflicting command set.

[0011] Preferably, the step of generating mineralization start-stop control commands based on the mineralization start-stop condition parameter set and extracting the timing lock-up command sequence set includes: Mineralization start-stop control commands are generated based on the mineralization start-stop condition parameter group; when the ice blockage risk value exceeds the preset ice blockage threshold, the mineralization start-stop control command prohibits the start of the mineralization module; when the preheating energy consumption value exceeds the ship's current available total energy, the mineralization start-stop control command prohibits the start of the mineralization module; when the solidification safety level value is lower than the preset solidification safety threshold, the mineralization start-stop control command prohibits the start of the mineralization module. The consumption rate control command and the mineralization start / stop control command are arranged in the order of execution to form an instruction sequence. The execution order of the instruction sequence is as follows: first execute the consumption rate control command, then execute the mineralization start / stop control command. When the consumption rate control command starts the mineralization module, and the mineralization start / stop control command that follows immediately stops the mineralization module, it is determined that the instruction sequence has a timing deadlock relationship. All instruction sequences that are determined to have a timing deadlock relationship are extracted to form a timing deadlock instruction sequence set.

[0012] Preferably, the step of generating matching state determination rules and mineralization start-stop control commands based on the temperature coupling contradictions within the mineralization start-stop condition parameter group includes: Calculate the direction of change of ice blockage risk value and solidification safety level value with ambient temperature within the mineralization start-up and shutdown condition parameter group; when the direction of change of ice blockage risk value with ambient temperature is opposite to the direction of change of solidification safety level value with ambient temperature, it is determined that there is a temperature coupling contradiction within the mineralization start-up and shutdown condition parameter group. Based on the contradictory relationship of temperature coupling, a matching status determination rule is generated for the mineralization start-up and shutdown condition parameter group. The matching status determination rule is as follows: when the three conditions are met simultaneously, the mineralization start-up and shutdown condition parameter group is determined to be in a matched state; when any one of the three conditions is not met, the mineralization start-up and shutdown condition parameter group is determined to be in a non-matched state. When the mineralization start-stop condition parameter group is in a matched state, the mineralization start-stop control command is to allow the mineralization module to start; when the mineralization start-stop condition parameter group is in a mismatched state, the mineralization start-stop control command is to prohibit the mineralization module from starting.

[0013] Preferably, the step of clustering operating conditions based on the conflict instruction set and the timing lock-up instruction sequence set includes: Using the existence of instruction pairs in the conflict instruction set as the first clustering feature and the existence of instruction sequences in the time-locked instruction sequence set as the second clustering feature, the first and second clustering feature values ​​of the current working condition are extracted to form the feature vector of the current working condition. When both the first and second clustering features exist, the current operating condition is clustered into the same cluster; when only the first clustering feature or only the second clustering feature exists, the current operating condition is clustered into a different cluster; when neither feature exists, no clustering response is triggered.

[0014] Preferably, the step of executing control based on clustering results and in conjunction with matching state determination rules and mineralization start / stop control commands includes: If the current operating condition is clustered into the same cluster, the same cluster control strategy is executed. The same cluster control strategy is as follows: adjust the carbon capture rate to the minimum maintenance value, cancel the current time to start the mineralization module command, stop repeatedly judging the timing lock-up state of the command sequence, continuously monitor the matching state of the mineralization start-stop condition parameter group, when the mineralization start-stop condition parameter group changes to the matching state, execute the start mineralization module command, and after the timing lock-up command sequence set is released, restore the response temporary safety control command. If the current operating condition is clustered into a heterogeneous cluster, a heterogeneous cluster control strategy is executed. The heterogeneous cluster control strategy is as follows: when there is an instruction pair in the conflict instruction set and no instruction sequence in the timing-locked instruction sequence set, the carbon capture rate reduction instruction in the temporary safety control instruction is executed, and the real-time change of the dry ice generation area ratio of the storage tank is continuously monitored; when the dry ice generation area ratio of the storage tank falls below the preset safety threshold, the execution of the consumption rate control instruction is resumed, that is, the mineralization module is started or the carbon capture rate is maintained as required by the consumption rate control instruction; when there is an instruction sequence in the timing-locked instruction sequence set and no instruction pair in the conflict instruction set, the carbon capture rate is maintained, and the matching status of the mineralization start-stop condition parameter group is continuously monitored; when the mineralization start-stop condition parameter group changes to a matching status, the mineralization module start instruction is executed.

[0015] Preferably, a shipborne intelligent carbon capture and control system integrating multi-source environmental parameters includes: The multi-source environmental parameter fusion and quantification module is used to calculate the dry ice generation area ratio of storage tanks, the storage consumption rate prediction ratio, and the mineralization start-up and shutdown condition parameter set. The control instruction conflict resolution module is used to generate temporary safe control instructions and consumption rate control instructions and extract conflict instruction sets, generate mineralization start-stop control instructions and extract timing lock-up instruction sequence sets. The temperature coupling contradiction determination module is used to determine the temperature coupling contradiction within the mineralization start-stop condition parameter group and generate matching state determination rules. The operating condition clustering and control execution module is used to perform clustering based on the set of conflicting instructions and the set of timing lock-up instructions, and to execute control strategies based on the clustering results.

[0016] Beneficial Effects: This invention integrates multi-source environmental parameters and tank wall temperature data to construct quantitative indicators for temporary storage safety and consumption rate, centered on the ratio of dry ice generation area to storage and the predicted ratio of storage consumption rate. It also extracts conflict command sets to detect logical conflicts between multiple objectives. By establishing mineralization start-up and shutdown condition parameter sets and temperature coupling contradiction judgment rules, it identifies the temporal lock-up state and multi-condition matching state of the consumption path. Based on this, it performs operating condition clustering based on conflict commands and temporal lock-up, forming a classification control strategy of same-cluster and hetero-cluster. When temporary storage safety deteriorates and consumption lock-up overlaps, it executes a load reduction response prioritizing tank safety. In the event of a single conflict, it executes a targeted conflict resolution strategy, effectively overcoming the shortcomings of existing single-loop control architectures that lack closed-loop management capabilities for product accumulation under polar closed-endurance conditions. Attached Figure Description

[0017] Figure 1 This is a flowchart of the intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters of the present invention. Figure 2This is a structural diagram of the shipborne intelligent carbon capture and control system based on the fusion of multi-source environmental parameters of the present invention. Detailed Implementation

[0018] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0019] Example 1: A smart control method for shipborne carbon capture based on the fusion of multiple environmental parameters, such as... Figure 1 As shown, it includes the following steps: S1-1: Collect multi-source environmental parameters and temperatures of various areas of the tank wall, and calculate the dry ice formation area ratio of the tank, including: Calculate the temperature difference between each region of the tank wall and the triple point temperature of carbon dioxide. When the difference is negative, mark the region as the dry ice generation region. The total area of ​​the dry ice generation zone is statistically analyzed, and the proportion of the total area of ​​the dry ice generation zone to the total wall area of ​​the storage tank is calculated. This proportion is defined as the dry ice generation area ratio of the storage tank, and the dry ice generation area ratio of the storage tank is used as a quantitative indicator of the impact of multi-source environmental parameters on the temporary storage safety status.

[0020] It should be noted that the temperature of each area of ​​the tank wall is collected by a distributed temperature sensor array attached to the outer wall of the tank, and the ambient temperature data in the multi-source environmental parameters is provided by the ship's weather station. The triple point temperature of carbon dioxide refers to the temperature at which carbon dioxide exists in its solid, liquid, and gaseous states; specifically... 56.6℃. The temperature difference between each region of the tank wall and the triple point temperature of carbon dioxide is used to identify areas where the wall temperature is lower than the triple point. When the difference is negative, the wall temperature in that region is lower than the triple point temperature of carbon dioxide. Gaseous carbon dioxide in the tank will directly sublimate into dry ice upon contact with this low-temperature wall, while liquid carbon dioxide will solidify into dry ice upon contact with this low-temperature wall. Therefore, this region is marked as a dry ice generation area.

[0021] Dry ice formation areas are hazardous locations inside storage tanks where uncontrolled solidification can occur. As the dry ice layer thickens continuously on the tank walls, it can compress the inner walls and cause localized stress concentrations, potentially leading to valve and pipeline blockages and directly threatening the safety of temporary storage. By statistically analyzing the total area of ​​the dry ice formation area and calculating its proportion to the total tank wall area, the spatially distributed risk can be quantified into a comparable indicator. A larger proportion of the tank wall surface is at risk of dry ice formation, indicating a greater degree of temporary storage safety.

[0022] Existing methods do not actively compare tank wall temperature with the carbon dioxide phase transition boundary, making it difficult to provide quantitative input to the control loop before the risk of dry ice formation develops, resulting in a monitoring blind spot for the tank's safety status in polar cryogenic environments. This step establishes a comparison mechanism between the difference between wall temperature and the triple point temperature of carbon dioxide, outputting the dry ice formation area ratio of the tank. This allows the temporary safety status to be entered into the closed-loop control loop of the carbon capture system as a continuous quantitative indicator for the first time, overcoming the deficiency of existing methods in lacking active sensing means for temporary safety.

[0023] S1-2: Collect meteorological forecast data, ice condition data, and ship maneuvering plan data from multiple environmental sources and calculate the storage consumption rate prediction ratio, including: Extracting future ambient temperature sequences from meteorological forecast data; Generate future ship carbon emission load sequences based on ice condition data and ship maneuvering plan data; Align the future ambient temperature sequence with the future ship carbon emission load sequence on the time axis, and take the common time interval after alignment as the future time window; The carbon emission rate of each period in the future ship carbon emission load sequence is subtracted from the planned processing rate of the mineralization module for each corresponding period in the future time window. The difference is then integrated over time within the future time window to obtain the predicted value of storage capacity occupancy in the future time window. The ratio of the predicted value to the product of the current storage capacity consumption rate and the duration of the future time window is calculated and defined as the storage consumption rate prediction ratio. The storage consumption rate prediction ratio serves as a quantitative indicator of the impact of multi-source environmental parameters on the available storage capacity consumption rate.

[0024] It should be noted that the weather forecast data is obtained by the ship's weather fax receiver or satellite data terminal, the ice condition data is provided by the ship's ice condition radar and sea ice remote sensing images, and the ship's maneuver plan data comes from the future route planning and main engine load scheduling schedule in the ship navigation management system.

[0025] Extracting future ambient temperature sequences from meteorological forecast data involves arranging hourly or daily ambient temperature forecasts within a forecast period in chronological order to form a continuous temperature prediction curve. The purpose is to provide temperature boundary conditions for subsequent alignment with the carbon emission load sequence. The specific method for generating future ship carbon emission load sequences based on ice condition data and ship maneuvering plan data involves constructing a quantitative calculation relationship between ice density, icebreaking resistance level, planned speed, main engine power demand, and ship carbon emission load, based on ship resistance and propulsion principles and the fuel consumption characteristics of ship power plants. The ice density and icebreaking resistance level determined based on ice condition data, and the planned speed and main engine power demand obtained from ship maneuvering plan data, are input into this quantitative calculation relationship. The resulting carbon emission load predictions for each future period are then arranged chronologically.

[0026] First, calculate the engine fuel consumption rate under different ice density conditions using the following formula: ,in, The main engine fuel consumption rate under ice-covered navigation conditions is expressed in grams per kilowatt-hour (g / (kW·h)). The fuel consumption rate of the main engine in open water (ice-free conditions) is expressed in grams per kilowatt-hour (g / (kW·h)) and is determined by the universal characteristic curve or bench test data provided by the main engine manufacturer. The ice density is a dimensionless quantity with a value between 0 and 1, obtained from shipborne ice radar and sea ice remote sensing images. 0 indicates no ice and 1 indicates complete ice coverage. This is a dimensionless correction factor for fuel consumption in ice-covered areas, reflecting the impact of increased navigation resistance in ice-covered areas on main engine fuel consumption rate. Its specific value is determined by recording the main engine fuel consumption rate under different ice density levels during ship navigation trials in ice-covered areas. It can be obtained through calculation or by calibration based on the results of ice-water pool model tests.

[0027] Then, based on the ship maneuvering plan data, the ship carbon emission load for each time period is calculated using the following formula: ,in, For time period Carbon emission load of ships is expressed in kilograms (kg). When calculating, the result needs to be divided by 1000 to convert it to kilograms. For time period The corresponding fuel consumption rate of the main engine is expressed in grams per kilowatt-hour (g / (kW·h)). For time period The main engine output power, in kilowatts (kW), is determined by the planned speed and main engine load scheduling schedule in the ship's maneuvering plan data; The time interval is calculated in hours (h). The carbon dioxide emission factor of fuel oil is expressed in kilograms per kilogram (kg / kg) and is determined based on the default carbon emission factor of marine diesel oil and the lower heating value of fuel oil in the 2006 IPCC National Greenhouse Gas Inventory Guidelines.

[0028] Arranging the carbon emission loads of each time period in chronological order yields the future ship carbon emission load sequence.

[0029] Aligning the future ambient temperature series with the future ship carbon emission load series on their time axes unifies the time coordinates of the two series to the same time base. The overlapping portion of the time coordinates of the two series after alignment constitutes the future time window. The future time window is the effective forecast period jointly covered by the two series. Subsequent calculations can only be performed if both the temperature forecast and the carbon emission load forecast are valid within this window.

[0030] The planned processing capacity refers to the predetermined carbon dioxide mineralization processing capacity of the mineralization module within a future time window. The planned processing rate of the mineralization module for each corresponding period within the future time window is determined in real time by the mineralization module control system based on the current reactor temperature, product accumulation status, and rated processing capacity. When the mineralization module is in normal operation, the planned processing rate is the rated processing rate; when the reactor temperature is lower than the start-up temperature or the product accumulation exceeds the upper limit, the planned processing rate is zero. For mineralization modules using intermittent operation, the planned processing rate is the average processing rate within the batch cycle. The carbon emission rate of each period in the future ship carbon emission load sequence is subtracted from the planned processing rate of the mineralization module for each corresponding period within the future time window. The difference is the net rate after subtracting the planned absorption rate from the carbon dioxide generation rate for each period. The net surplus for each period is obtained by summing the products of the net rate and the period step. The difference is then integrated over time within the future time window, accumulating the net surplus over time to obtain the predicted value of the storage capacity occupancy for the entire future time window. This forecast represents the total amount of storage capacity expected to be consumed within a future time window, taking into account mineralization absorption capacity (i.e., the net accumulation of carbon dioxide that needs to be stored in storage tanks due to capture exceeding mineralization absorption capacity).

[0031] The ratio of this predicted value to the product of the current storage capacity consumption rate and the duration of the future time window is calculated. A ratio greater than one indicates that the net total storage capacity consumption within the future time window will exceed the total consumption at the current consumption rate within the same window, meaning that the storage capacity consumption rate is accelerating and storage pressure is increasing. A ratio less than one indicates that the consumption rate is slowing down and storage pressure is easing. The storage consumption rate prediction ratio serves as a quantitative indicator of the impact of multi-source environmental parameters on the available storage capacity consumption rate, consolidating the combined impact of three types of environmental data—weather forecasts, ice conditions, and ship maneuvering plans—on future storage pressure into a comparable value.

[0032] Existing methods do not correlate weather forecasts and ice condition data with predictions of ship carbon emission loads, making it difficult to provide forward-looking inputs to the control loop before storage capacity depletion accelerates, resulting in storage management relying entirely on ex-post feedback. This step overcomes the deficiency of existing methods in lacking feedforward prediction tools for storage depletion by establishing a calculation mechanism that uses environmental data to drive the ratio of carbon emission load predictions to storage consumption predictions.

[0033] S2-1: Collect seawater micro-ice crystal concentration data and ambient temperature data from multiple environmental parameters and determine the mineralization start-up and shutdown condition parameter set, including: The ice blockage risk value of the seawater intake pipeline of the mineralization module is calculated based on the seawater micro-ice crystal concentration data. The preheating energy consumption value required for the start-up of the mineralization module and the solidification safety level value after the mineralization products are discharged are calculated based on the ambient temperature data. The ice blockage risk value, preheating energy consumption value and solidification safety level value are collectively defined as the mineralization start-up and shutdown condition parameter group. The mineralization start-up and shutdown condition parameter group serves as a quantitative indicator of the influence of multi-source environmental parameters on the start-up and shutdown decision of the mineralization module.

[0034] It should be noted that the seawater micro-ice crystal concentration data was collected by an underwater optical micro-ice crystal sensor installed at the ship's seawater intake, and the ambient temperature data was provided by the ship's weather station.

[0035] The specific method for calculating the ice blockage risk value based on seawater micro-ice crystal concentration data is as follows: Based on particle deposition dynamics and pipe flow heat transfer theory, a quantitative calculation relationship is established between the seawater micro-ice crystal concentration, the intake pipe diameter, the seawater flow velocity, and the degree of reduction in the intake pipe's flow cross-section. The seawater micro-ice crystal concentration, intake pipe diameter, and seawater flow velocity are input into this quantitative calculation relationship, and the severity of the reduction in the flow cross-section of the intake pipe due to micro-ice crystal adhesion and accumulation is output. This quantified value of severity is the ice blockage risk value. The ice blockage risk value is calculated according to the following formula: ,in, This represents the risk value for ice blockage. The concentration of seawater micro-ice crystals (dimensionless volume fraction). This refers to the length of the water intake pipeline, in meters. This refers to the inner diameter of the water intake pipe, in meters. The length-to-diameter ratio of the pipeline is dimensionless. The Reynolds number for seawater flow within the pipeline is dimensionless. The deposition rate coefficient was obtained by performing nonlinear regression fitting on multiple sets of experimental data through deposition experiments at different flow rates and ice crystal concentrations in a simulated pipeline in the laboratory. The Reynolds number influence index, and Obtained through joint calibration in the same experiment. and The value is determined online using a least-squares recursive method based on actual ship operation data. The ice blockage risk value is a dimensionless quantity, ranging from 0 to 1, with higher values ​​indicating a greater risk of ice blockage. The ice blockage risk value is a quantification of the risk that the seawater intake pipeline of the mineralization module will become blocked and lose its normal water intake capacity due to the adhesion of micro-ice crystals.

[0036] The method for calculating preheating energy consumption based on ambient temperature data involves calculating the difference between the target reactor temperature and the ambient temperature at startup of the mineralization module, and multiplying this difference by the reactor's heat capacity to obtain the preheating energy consumption value. Mineralization refers to the process of reacting captured carbon dioxide with alkaline solid waste (such as steel slag and fly ash) to produce stable carbonates. The preheating energy consumption value represents the energy required to heat the mineralization module reactor from the current ambient temperature to the target temperature required for startup. The method for calculating the solidification safety level value based on ambient temperature data involves mapping the difference between the ambient temperature and the minimum allowable temperature for the solidification reaction of the mineralization products to a level value; the larger the difference, the higher the level value. Solidification Safety Level Value Calculate using the following formula: ;in, The current ambient temperature is expressed in degrees Celsius (°C). The minimum allowable temperature for the solidification reaction of mineralized products, expressed in degrees Celsius (°C). and To correct for the constant, solidification tests of mineralized products were conducted at different ambient temperatures, and multiple sets of temperature differences were fitted with solidification grade values ​​using linear regression. This is the temperature sensitivity coefficient, with units of 1 / ℃. This is the base grade value. The solidification safety grade value is a dimensionless quantity; a higher value indicates higher solidification reliability. The solidification safety grade value reflects the reliability of the mineralized product in completing solidification and reaching the required safe storage strength at the current ambient temperature.

[0037] Ice blockage risk value, preheating energy consumption value, and solidification safety level value respectively assessed the seawater intake conditions, energy conditions, and product processing conditions required for the start-up of the mineralization module. These three conditions are independent and indispensable; therefore, the ice blockage risk value, preheating energy consumption value, and solidification safety level value are collectively defined as the mineralization start-up and shutdown condition parameter group. The mineralization start-up and shutdown condition parameter group is a joint judgment index composed of three independent evaluation values, used to comprehensively quantify the impact of multi-source environmental parameters on the start-up and shutdown decisions of the mineralization module from three dimensions: the unobstructedness of the intake pipeline, the start-up energy burden, and the safety of product disposal.

[0038] Existing methods do not jointly quantify and assess the start-up conditions of the mineralization module with seawater micro-ice crystal concentration and ambient temperature, making it difficult to provide multi-dimensional feasibility judgment criteria to the control loop before the mineralization module is started. This results in a lack of quantifiable decision inputs for the start-up and shutdown of the absorption pathway in polar environments. This step establishes the calculation relationship between seawater micro-ice crystal concentration and ice blockage risk value, ambient temperature and preheating energy consumption value and solidification safety level value, and condenses these three assessment values ​​into a mineralization start-up and shutdown condition parameter set. For the first time, the start-up and shutdown decision of the absorption pathway is entered into the closed-loop control loop of the carbon capture system in the form of multi-dimensional quantitative indicators, overcoming the deficiency of existing methods in lacking joint quantitative assessment methods for absorption start-up conditions.

[0039] S2-2: Based on the dry ice generation area ratio and storage consumption rate prediction ratio of the storage tank, generate temporary storage safety control instructions and consumption rate control instructions respectively, and extract the conflict instruction set, including: The temporary storage safety control instruction is generated based on the dry ice generation area ratio of the storage tank; when the dry ice generation area ratio of the storage tank exceeds the preset safety threshold, the temporary storage safety control instruction is to reduce the carbon capture rate; when the dry ice generation area ratio of the storage tank does not exceed the preset safety threshold, the temporary storage safety control instruction is to maintain the carbon capture rate. Consumption rate control instructions are generated based on the storage consumption rate prediction ratio; when the storage consumption rate prediction ratio exceeds the preset consumption threshold, the consumption rate control instruction is to start the mineralization module; when the storage consumption rate prediction ratio does not exceed the preset consumption threshold, the consumption rate control instruction is to maintain the carbon capture rate. The temporary safety control command and the consumption rate control command are compared one by one. When the temporary safety control command is to reduce the carbon capture rate and the consumption rate control command is to maintain the carbon capture rate, the command pair is determined to be a conflicting command pair. All command pairs determined to be conflicting command pairs are extracted to form a conflicting command set.

[0040] It should be noted that the preset safety threshold is set based on the low-temperature brittle transition temperature curve of the tank material and the maximum allowable working pressure of the tank design. Those skilled in the art select the wall temperature point where the material's brittle risk significantly increases, based on the attenuation law of the allowable stress of the tank material with decreasing temperature, and convert this temperature point into the corresponding critical value for the dry ice generation area ratio of the tank. The preset consumption threshold is set based on the rated processing capacity per unit time of the mineralization module and the remaining capacity of the storage facility. Those skilled in the art calculate the time required for the remaining capacity of the storage facility to be exhausted by the current consumption rate, based on the estimated remaining days without unloading of the ship, and set the predicted storage consumption rate ratio when the exhaustion time equals the estimated remaining days without unloading as the threshold.

[0041] When the dry ice formation area ratio of the storage tank exceeds the preset safety threshold, the area of ​​the tank wall at risk of dry ice formation has exceeded the safety boundary. The dry ice layer continues to thicken on the wall, potentially compressing the inner wall and causing localized stress concentration. In severe cases, this significantly increases the risk of valve and pipeline blockage, deteriorating the temporary storage safety status. It is necessary to reduce the carbon capture rate to decrease the rate at which newly generated carbon dioxide enters the tank, thus curbing the continued increase in the dry ice formation area ratio. When the dry ice formation area ratio does not exceed the preset safety threshold, the temporary storage safety status is within a controllable range, and maintaining the carbon capture rate is sufficient. The carbon capture rate refers to the mass flow rate (kg / h) of carbon dioxide captured from flue gas and delivered to the storage tank per unit time.

[0042] When the predicted storage depletion rate exceeds a preset depletion threshold, the average net depletion rate of storage capacity within the future time window will exceed the current instantaneous depletion rate, leading to a sharp increase in storage pressure. In this case, the mineralization module must be activated to convert the stored carbon dioxide into solid products to release the capacity. The mineralization module is a process unit on board that reacts captured carbon dioxide with alkaline solid waste to produce solid carbonate products. When the predicted storage depletion rate does not exceed the preset depletion threshold, future storage pressure will not deteriorate significantly, and maintaining the carbon capture rate is sufficient.

[0043] The temporary storage safety control command and the consumption rate control command are generated independently based on the dry ice generation area ratio and the predicted storage consumption rate ratio of the storage tank, respectively. The two commands have inconsistent adjustment requirements for the carbon capture rate. The two commands are compared one by one to identify the moments when conflicts occur between the temporary storage safety objective and the storage consumption management objective. When the temporary storage safety control command reduces the carbon capture rate while the consumption rate control command maintains the carbon capture rate, the two control objectives issue opposite operational requirements to the same actuator, and this set of commands is determined to be a conflicting command pair. The purpose of forming a conflicting command set is to collect these opposing command pairs scattered at different times, providing a basis for the first clustering feature value for subsequent operating condition clustering.

[0044] Existing methods employ a single-loop control architecture, which struggles to detect command conflicts between temporary storage security objectives and storage consumption management objectives. These two objectives make independent decisions, resulting in a lack of a unified arbitration mechanism for the actuators in conflict situations. This step overcomes the shortcomings of existing methods by establishing a dual-instruction comparison mechanism and extracting conflicting instruction sets. This allows logical conflicts at the instruction level to enter the control loop as explicit signals for the first time, thus addressing the lack of instruction conflict detection and extraction methods. The instructions to reduce the carbon capture rate or activate the mineralization module are converted into time-series action instructions for the actuators through the underlying process control system.

[0045] S3-1: Generate mineralization start-stop control instructions based on the mineralization start-stop condition parameter set and extract the timing lock-up instruction sequence set, including: Mineralization start-stop control commands are generated based on the mineralization start-stop condition parameter group; when the ice blockage risk value exceeds the preset ice blockage threshold, the mineralization start-stop control command prohibits the start of the mineralization module; when the preheating energy consumption value exceeds the ship's current available total energy, the mineralization start-stop control command prohibits the start of the mineralization module; when the solidification safety level value is lower than the preset solidification safety threshold, the mineralization start-stop control command prohibits the start of the mineralization module. The consumption rate control command and the mineralization start / stop control command are arranged in the order of execution to form an instruction sequence. The execution order of the instruction sequence is as follows: first execute the consumption rate control command, then execute the mineralization start / stop control command. When the consumption rate control command starts the mineralization module, and the mineralization start / stop control command that follows immediately stops the mineralization module, it is determined that the instruction sequence has a timing deadlock relationship. All instruction sequences that are determined to have a timing deadlock relationship are extracted to form a timing deadlock instruction sequence set.

[0046] It should be noted that the preset ice blockage threshold is determined by the maximum allowable pressure difference in the seawater intake pipeline of the mineralization module. Those skilled in the art, during the pipeline design phase, calibrate the ice blockage risk value when the pressure difference between the pipeline inlet and outlet reaches the maximum allowable value, based on the relationship between pipeline diameter, seawater flow velocity, and micro-ice crystal concentration, and use this as the threshold. The preset solidification safety threshold is set based on the minimum safe strength of the mineralized product under storage conditions. This is achieved by testing the solidification strength of product samples at different temperatures, and taking the lowest level value that meets the requirement of non-collapse during storage as the threshold.

[0047] The ship's current total available energy refers to the remaining adjustable power (in joules) calculated by subtracting the power consumed by critical loads currently on the grid from the ship's total power plant output, multiplying this remaining power by the estimated duration of the mineralization module startup process. Critical loads refer to electrical equipment necessary for the ship's navigation, communication, and safety. The unit for preheating energy consumption is joules, and the unit for the ship's current total available energy is also joules. Comparisons are made directly between the ship's current total available energy and the preheating energy consumption.

[0048] When the ice blockage risk value exceeds the preset ice blockage threshold, the water intake pipeline faces blockage failure. Forcibly activating the mineralization module will cause equipment damage due to water shortage, so activation is prohibited.

[0049] When the preheating energy consumption exceeds the ship's current total available energy, the heating load of starting the mineralization module will crowd out the power supply of navigation and safety equipment, threatening the ship's safety. Therefore, starting the module is prohibited.

[0050] When the curing safety level value is lower than the preset curing safety threshold, the discharged product is unlikely to form a stable solid block, will collapse and lose its digestion function, so it is prohibited to start.

[0051] The consumption rate control command and the mineralization start / stop control command are arranged in a sequence according to the order of consumption demand first and start feasibility second. This sequence is used to simulate the logical order in actual start-up decisions, where consumption demand is generated first and then execution conditions are checked. When the consumption rate control command is to start the mineralization module and the mineralization start / stop control command is to prohibit start-up, the execution chain is blocked, forming a timing deadlock relationship.

[0052] All timing-locked instruction sequences are extracted into a set to centrally mark the real-time contradictions between consumption demand and start-up conditions. This provides a second-dimensional feature for operating condition clustering, enabling the control loop to identify and respond to special operating conditions where the product consumption path is locked by the environment. Existing single-loop control does not perform serialization verification of start-up conditions, making it difficult to detect such demand-energy conflicts. This step overcomes this deficiency.

[0053] S3-2: Generate matching state determination rules and mineralization start-up and shutdown control commands based on the temperature coupling contradictions within the mineralization start-up and shutdown condition parameter group, including: Calculate the direction of change of ice blockage risk value and solidification safety level value with ambient temperature within the mineralization start-up and shutdown condition parameter group; when the direction of change of ice blockage risk value with ambient temperature is opposite to the direction of change of solidification safety level value with ambient temperature, it is determined that there is a temperature coupling contradiction within the mineralization start-up and shutdown condition parameter group. Based on the contradictory relationship of temperature coupling, a matching status determination rule is generated for the mineralization start-up and shutdown condition parameter group. The matching status determination rule is as follows: when the three conditions are met simultaneously, the mineralization start-up and shutdown condition parameter group is determined to be in a matched state; when any one of the three conditions is not met, the mineralization start-up and shutdown condition parameter group is determined to be in a non-matched state. When the mineralization start-stop condition parameter group is in a matched state, the mineralization start-stop control command is to allow the mineralization module to start; when the mineralization start-stop condition parameter group is in a mismatched state, the mineralization start-stop control command is to prohibit the mineralization module from starting.

[0054] It should be noted that, according to the calculation formulas for ice blockage risk and solidification safety level in S2-1, when the ambient temperature decreases, the concentration of seawater micro-ice crystals increases, leading to an increase in the ice blockage risk. Simultaneously, the decrease in the difference between the ambient temperature and the minimum allowable temperature of the mineralization product leads to a decrease in the solidification safety level; the two changes are in opposite directions. This inverse relationship is inherently determined by the definition of the mathematical calculation relationship and is an inherent temperature coupling contradiction within the mineralization start-up and shutdown condition parameter group. The significance of this contradiction lies in the fact that a single change in ambient temperature has opposite effects on the two start-up condition parameters of the mineralization module. This effect serves as the physical basis for the conservative strategy that all three conditions in the matching state determination rule must be simultaneously satisfied. This scheme does not determine the existence of this relationship online, but rather directly utilizes this inherent relationship to assist in the comprehensive judgment of mineralization start-up and shutdown conditions.

[0055] The matching state is defined as follows: all three parameters in the mineralization start-stop condition parameter group simultaneously meet their respective threshold conditions. Specifically, the ice blockage risk value does not exceed the preset ice blockage threshold to ensure unobstructed water intake pipelines; the preheating energy consumption value does not exceed the ship's current available total energy to ensure startup does not consume the ship's safe power supply; and the solidification safety level value is not lower than the preset solidification safety threshold to ensure reliable product solidification. When all three conditions are met, the mineralization module possesses all the prerequisites for safe startup, and is thus judged to be in a matching state. A non-matching state refers to a state where at least one of the three conditions is not met. In this case, starting the mineralization module presents at least one unacceptable risk factor. When the mineralization start-stop condition parameter group is in a matching state, the water intake conditions, energy conditions, and product disposal conditions all meet the safe operation requirements. Starting the mineralization module will not cause equipment damage, power consumption, or product collapse. Therefore, the mineralization start-stop control command is to allow the mineralization module to start. When the mineralization start-stop condition parameter group is in a non-matching state, at least one condition does not meet the safe operation requirements. Forced startup will trigger corresponding safety risks. Therefore, the mineralization start-stop control command is to prohibit the mineralization module from starting.

[0056] Existing methods lack a mechanism for analyzing the positive and negative coupling within the parameter set of mineralization start-up and shutdown conditions. This makes it difficult to perceive the opposing effects of environmental temperature changes on various dimensions of the mineralization module's start-up conditions, and even more difficult to decide on the start-up and shutdown of the mineralization module based on the comprehensive matching state of the three conditions. Consequently, the start-up decision of the absorption path lacks a systematic judgment of the multi-condition coupling relationship in polar environments. This step calculates the direction of change of ice blockage risk value and solidification safety level value with environmental temperature, determines the contradictory relationship of temperature coupling, generates matching state judgment rules and corresponding mineralization start-up and shutdown control commands. For the first time, the start-up and shutdown decision of the absorption path is based on a systematic analysis of the coupling effect of environmental temperature, providing a complete multi-condition matching judgment basis for subsequent operating condition clustering and control execution.

[0057] S4-1: Operating condition clustering based on conflict instruction sets and timing lock-up instruction sequence sets, including: Using the existence of instruction pairs in the conflict instruction set as the first clustering feature and the existence of instruction sequences in the time-locked instruction sequence set as the second clustering feature, the first and second clustering feature values ​​of the current working condition are extracted to form the feature vector of the current working condition. When both the first and second clustering features exist, the current operating condition is clustered into the same cluster; when only the first clustering feature or only the second clustering feature exists, the current operating condition is clustered into a different cluster; when neither feature exists, no clustering response is triggered.

[0058] It should be noted that the determination rule for the first cluster feature is defined as the existence of at least one instruction pair in the conflicting instruction set. If such a pair exists, it indicates that the temporary storage safety objective and the storage consumption management objective have put forward opposite operational requirements to the same actuator at the current moment. The first cluster feature value is taken as the state of having an instruction pair. When the first cluster feature value is taken as the state of having an instruction pair, it indicates that the current operating condition has the following conflict situation: the dry ice generation area ratio of the storage tank exceeds the preset safety threshold, requiring a reduction in the carbon capture rate to ensure temporary storage safety, while the predicted storage consumption rate ratio does not exceed the preset consumption threshold, requiring the carbon capture rate to be maintained. The two objectives have put forward opposite operational requirements to the same actuator. The determination rule for the second cluster feature is defined as the existence of at least one instruction sequence in the set of time-locked instruction sequences. If such a sequence exists, it indicates that the consumption demand has been triggered, but the activation condition is locked by the environment. The second cluster feature value is taken as the state of having an instruction sequence. When the second cluster feature value is taken as the state of having an instruction sequence, it indicates that the execution chain of the consumption path faced by the current operating condition is blocked by environmental conditions.

[0059] Since both clustering features are binary (present / absent), a maximum of four combinations can be generated: (1,1) corresponds to the presence of both the first and second features, (1,0) corresponds to the presence of only the first feature, (0,1) corresponds to the presence of only the second feature, and (0,0) corresponds to the absence of neither feature. This rule mapping method enables the carbon capture system to automatically classify operating conditions into clusters based on conflict combination types: (1,1) is assigned to the same cluster, (1,0) and (0,1) are assigned to different clusters, and (0,0) is marked as a conflict-free operating condition that does not trigger a clustering response. This classification method provides a basis for subsequent targeted implementation of control strategies.

[0060] S4-2: Execute control based on clustering results and matching status determination rules and mineralization start / stop control commands, including: If the current operating condition is clustered into the same cluster, the same cluster control strategy is executed. The same cluster control strategy is as follows: adjust the carbon capture rate to the minimum maintenance value, cancel the current time to start the mineralization module command, stop repeatedly judging the timing lock-up state of the command sequence, continuously monitor the matching state of the mineralization start-stop condition parameter group, when the mineralization start-stop condition parameter group changes to the matching state, execute the start mineralization module command, and after the timing lock-up command sequence set is released, restore the response temporary safety control command. If the current operating condition is clustered into a heterogeneous cluster, a heterogeneous cluster control strategy is executed. The heterogeneous cluster control strategy is as follows: when there is an instruction pair in the conflict instruction set and no instruction sequence in the timing-locked instruction sequence set, the carbon capture rate reduction instruction in the temporary safety control instruction is executed, and the real-time change of the dry ice generation area ratio of the storage tank is continuously monitored; when the dry ice generation area ratio of the storage tank falls below the preset safety threshold, the execution of the consumption rate control instruction is resumed, that is, the mineralization module is started or the carbon capture rate is maintained as required by the consumption rate control instruction; when there is an instruction sequence in the timing-locked instruction sequence set and no instruction pair in the conflict instruction set, the carbon capture rate is maintained, and the matching status of the mineralization start-stop condition parameter group is continuously monitored; when the mineralization start-stop condition parameter group changes to a matching status, the mineralization module start instruction is executed.

[0061] It should be noted that the simultaneous occurrence of conflicting commands and timing lock-up in the same cluster of operating conditions indicates a superposition of two crises: a deterioration in the temporary safety status and a lock-up of the absorption path environment. If the carbon capture rate is maintained at this point, the continued increase in the dry ice generation area ratio of the storage tank will pose a structural risk to the tank; if attempts to start the mineralization module continue, the execution link will be blocked, making it ineffective. Therefore, the carbon capture rate is adjusted to the minimum maintenance value, which refers to the minimum operating load required to prevent the working fluid (such as absorbent or CO2) inside the carbon capture system from undergoing phase change solidification or losing fluidity. This minimum maintenance value is dynamically adjusted based on the real-time ambient temperature of the sea area where the ship is located to ensure that the working fluid does not solidify or lose fluidity under extreme polar low-temperature conditions. The command to start the mineralization module is canceled because, under timing lock-up conditions, the start command will inevitably be prohibited by the mineralization start-stop control command, making it meaningless to continue holding the command. The matching status of the mineralization start-stop condition parameter group is continuously monitored to detect the moment when the mineralization module start-up conditions are met again after changes in environmental conditions. When the mineralization start / stop condition parameter group changes to a matched state, the mineralization start / stop control command changes to allow the mineralization module to start, and the timing lock-in relationship is released. At this time, executing the command to start the mineralization module can convert the stored carbon dioxide into solid products to release capacity. The response to the temporary storage safety control command resumes after the timing lock-in command sequence set is released because the mineralization module has entered normal working state after the timing lock-in is released, the storage capacity pressure begins to ease, and the system needs to reintegrate temporary storage safety into the control loop to cope with the possible repeated risk of dry ice generation.

[0062] In heterogeneous cluster operation, only one conflict relationship exists. When there is an instruction pair in the conflicting instruction set and no instruction sequence in the timing-locked instruction sequence set, temporary storage safety requires reducing the carbon capture rate while storage consumption management requires maintaining the carbon capture rate. The two objectives conflict, but the consumption path is not locked. In this case, reducing the carbon capture rate is prioritized because deterioration of temporary storage safety may lead to tank structure failure, a risk level higher than short-term fluctuations in the storage consumption rate. Furthermore, if the consumption path is unobstructed, the storage capacity consumption caused by reducing the carbon capture rate can be compensated by subsequently starting the mineralization module. When there is no instruction pair in the conflicting instruction set and an instruction sequence exists in the timing-locked instruction sequence set, temporary storage safety has not deteriorated, but the consumption path is locked. The carbon capture system should maintain the carbon capture rate to reduce the rapid accumulation of storage capacity, while continuously monitoring the matching status of the mineralization start-stop condition parameter group and waiting for the start window to appear. When the mineralization start-stop condition parameter group changes to a matching state, the command to start the mineralization module is executed because a matching state means that all three conditions for starting the mineralization module are met. At this time, starting can safely release storage capacity and eliminate the risk of accumulated storage pressure caused by timing lock-up.

[0063] Existing methods struggle to map the combination of conflict commands and time-locked states into differentiated control strategies, resulting in the indiscriminate handling of overlapping crisis conditions within the same cluster and single conflict conditions in different clusters, lacking a priority decision-making mechanism for multiple concurrent conflicts. This step, through a cluster-oriented differentiated control strategy, enables the same-cluster conditions to receive a conservative response prioritizing survival, while the different-cluster conditions receive targeted conflict resolution branching treatments, achieving for the first time the classification and control of multiple conflict conditions in a carbon capture system under closed, self-sustaining conditions in polar regions.

[0064] Example 2: Based on Example 1, a shipborne intelligent carbon capture and control system integrating multi-source environmental parameters, such as... Figure 2 As shown, it includes: The multi-source environmental parameter fusion and quantification module is used to calculate the dry ice generation area ratio of storage tanks, the storage consumption rate prediction ratio, and the mineralization start-up and shutdown condition parameter set. The control instruction conflict resolution module is used to generate temporary safe control instructions and consumption rate control instructions and extract conflict instruction sets, generate mineralization start-stop control instructions and extract timing lock-up instruction sequence sets. The temperature coupling contradiction determination module is used to determine the temperature coupling contradiction within the mineralization start-stop condition parameter group and generate matching state determination rules. The operating condition clustering and control execution module is used to perform clustering based on the set of conflicting instructions and the set of timing lock-up instructions, and to execute control strategies based on the clustering results.

[0065] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart control method for shipborne carbon capture based on the fusion of multiple environmental parameters, characterized in that, Includes the following steps: S1: Collect multi-source environmental parameters and the temperature of each area of ​​the tank wall and calculate the dry ice generation area ratio of the tank. Collect meteorological forecast data, ice condition data and ship maneuver plan data from the multi-source environmental parameters and calculate the storage consumption rate prediction ratio. S2: Collect seawater micro-ice crystal concentration data and ambient temperature data from multiple environmental parameters and determine the mineralization start-up and shutdown condition parameter group. Based on the dry ice generation area ratio of the storage tank and the predicted storage consumption rate ratio, generate temporary storage safety control instructions and consumption rate control instructions respectively, and extract the conflict instruction set. S3: Generate mineralization start-stop control commands based on mineralization start-stop condition parameter group and extract timing lock-up command sequence set; generate matching state judgment rules and mineralization start-stop control commands based on temperature coupling contradiction relationship within mineralization start-stop condition parameter group. S4: Perform operating condition clustering based on the conflict instruction set and the timing lock-up instruction sequence set, and execute control based on the clustering results and the matching state determination rules and mineralization start-stop control instructions.

2. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters as described in claim 1, characterized in that, The process of collecting multi-source environmental parameters and temperatures in various areas of the tank wall, and calculating the dry ice generation area ratio of the tank, includes: Calculate the temperature difference between each region of the tank wall and the triple point temperature of carbon dioxide. When the difference is negative, mark the region as the dry ice generation region. The total area of ​​the dry ice generation zone is statistically analyzed, and the proportion of the total area of ​​the dry ice generation zone to the total wall area of ​​the storage tank is calculated. This proportion is defined as the dry ice generation area ratio of the storage tank, and the dry ice generation area ratio of the storage tank is used as a quantitative indicator of the impact of multi-source environmental parameters on the temporary storage safety status.

3. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters as described in claim 1, characterized in that, The process of collecting meteorological forecast data, ice condition data, and ship maneuvering plan data from multiple environmental sources and calculating the storage consumption rate prediction ratio includes: Extracting future ambient temperature sequences from meteorological forecast data; Generate future ship carbon emission load sequences based on ice condition data and ship maneuvering plan data; Align the future ambient temperature sequence with the future ship carbon emission load sequence on the time axis, and take the common time interval after alignment as the future time window; The carbon emission rate of each period in the future ship carbon emission load sequence is subtracted from the planned processing rate of the mineralization module for each corresponding period in the future time window. The difference is then integrated over time within the future time window to obtain the predicted value of storage capacity occupancy in the future time window. The ratio of the predicted value to the product of the current storage capacity consumption rate and the duration of the future time window is calculated and defined as the storage consumption rate prediction ratio. The storage consumption rate prediction ratio serves as a quantitative indicator of the impact of multi-source environmental parameters on the available storage capacity consumption rate.

4. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters according to claim 1, characterized in that, The process of collecting seawater micro-ice crystal concentration data and ambient temperature data from multiple environmental sources and determining the mineralization start-up and shutdown condition parameter set includes: The ice blockage risk value of the seawater intake pipeline of the mineralization module is calculated based on the seawater micro-ice crystal concentration data. The preheating energy consumption value required for the start-up of the mineralization module and the solidification safety level value after the mineralization products are discharged are calculated based on the ambient temperature data. The ice blockage risk value, preheating energy consumption value and solidification safety level value are collectively defined as the mineralization start-up and shutdown condition parameter group. The mineralization start-up and shutdown condition parameter group serves as a quantitative indicator of the influence of multi-source environmental parameters on the start-up and shutdown decision of the mineralization module.

5. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters according to claim 1, characterized in that, The temporary storage safety control command and the consumption rate control command are generated based on the dry ice generation area ratio and the storage consumption rate prediction ratio of the storage tank, respectively, and the conflict command set is extracted, including: The temporary storage safety control instruction is generated based on the dry ice generation area ratio of the storage tank; when the dry ice generation area ratio of the storage tank exceeds the preset safety threshold, the temporary storage safety control instruction is to reduce the carbon capture rate; when the dry ice generation area ratio of the storage tank does not exceed the preset safety threshold, the temporary storage safety control instruction is to maintain the carbon capture rate. Consumption rate control instructions are generated based on the storage consumption rate prediction ratio; when the storage consumption rate prediction ratio exceeds the preset consumption threshold, the consumption rate control instruction is to start the mineralization module; when the storage consumption rate prediction ratio does not exceed the preset consumption threshold, the consumption rate control instruction is to maintain the carbon capture rate. The temporary safety control command and the consumption rate control command are compared one by one. When the temporary safety control command is to reduce the carbon capture rate and the consumption rate control command is to maintain the carbon capture rate, the command pair is determined to be a conflicting command pair. All command pairs determined to be conflicting command pairs are extracted to form a conflicting command set.

6. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters according to claim 1, characterized in that, The process of generating mineralization start-stop control commands based on mineralization start-stop condition parameter sets and extracting a set of timing lock-up command sequences includes: Mineralization start-stop control commands are generated based on the mineralization start-stop condition parameter group; when the ice blockage risk value exceeds the preset ice blockage threshold, the mineralization start-stop control command prohibits the start of the mineralization module; when the preheating energy consumption value exceeds the ship's current available total energy, the mineralization start-stop control command prohibits the start of the mineralization module; when the solidification safety level value is lower than the preset solidification safety threshold, the mineralization start-stop control command prohibits the start of the mineralization module. The consumption rate control command and the mineralization start / stop control command are arranged in the order of execution to form an instruction sequence. The execution order of the instruction sequence is as follows: first execute the consumption rate control command, then execute the mineralization start / stop control command. When the consumption rate control command starts the mineralization module, and the mineralization start / stop control command that follows immediately stops the mineralization module, it is determined that the instruction sequence has a timing deadlock relationship. All instruction sequences that are determined to have a timing deadlock relationship are extracted to form a timing deadlock instruction sequence set.

7. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters according to claim 1, characterized in that, The generation of matching state determination rules and mineralization start-stop control commands based on the temperature coupling contradiction relationship within the mineralization start-stop condition parameter group includes: Calculate the direction of change of ice blockage risk value and solidification safety level value with ambient temperature within the mineralization start-up and shutdown condition parameter group; when the direction of change of ice blockage risk value with ambient temperature is opposite to the direction of change of solidification safety level value with ambient temperature, it is determined that there is a temperature coupling contradiction within the mineralization start-up and shutdown condition parameter group. Based on the contradictory relationship of temperature coupling, a matching status determination rule is generated for the mineralization start-up and shutdown condition parameter group. The matching status determination rule is as follows: when the three conditions are met simultaneously, the mineralization start-up and shutdown condition parameter group is determined to be in a matched state; when any one of the three conditions is not met, the mineralization start-up and shutdown condition parameter group is determined to be in a non-matched state. When the mineralization start-stop condition parameter group is in a matched state, the mineralization start-stop control command is to allow the mineralization module to start; when the mineralization start-stop condition parameter group is in a mismatched state, the mineralization start-stop control command is to prohibit the mineralization module from starting.

8. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters according to claim 1, characterized in that, The condition clustering based on the conflict instruction set and the timing lock-up instruction sequence set includes: Using the existence of instruction pairs in the conflict instruction set as the first clustering feature and the existence of instruction sequences in the time-locked instruction sequence set as the second clustering feature, the first and second clustering feature values ​​of the current working condition are extracted to form the feature vector of the current working condition. When both the first and second clustering features exist, the current operating condition is clustered into the same cluster; when only the first clustering feature or only the second clustering feature exists, the current operating condition is clustered into a different cluster; when neither feature exists, no clustering response is triggered.

9. The intelligent control method for shipborne carbon capture based on the fusion of multi-source environmental parameters according to claim 1, characterized in that, The control measures, which are executed based on clustering results and in conjunction with matching state determination rules and mineralization start / stop control commands, include: If the current operating condition is clustered into the same cluster, the same cluster control strategy is executed. The same cluster control strategy is as follows: adjust the carbon capture rate to the minimum maintenance value, cancel the current time to start the mineralization module command, stop repeatedly judging the timing lock-up state of the command sequence, continuously monitor the matching state of the mineralization start-stop condition parameter group, when the mineralization start-stop condition parameter group changes to the matching state, execute the start mineralization module command, and after the timing lock-up command sequence set is released, restore the response temporary safety control command. If the current operating condition is clustered into a heterogeneous cluster, a heterogeneous cluster control strategy is executed. The heterogeneous cluster control strategy is as follows: when there is an instruction pair in the conflict instruction set and no instruction sequence in the timing-locked instruction sequence set, the carbon capture rate reduction instruction in the temporary safety control instruction is executed, and the real-time change of the dry ice generation area ratio of the storage tank is continuously monitored; when the dry ice generation area ratio of the storage tank falls below the preset safety threshold, the execution of the consumption rate control instruction is resumed, that is, the mineralization module is started or the carbon capture rate is maintained as required by the consumption rate control instruction; when there is an instruction sequence in the timing-locked instruction sequence set and no instruction pair in the conflict instruction set, the carbon capture rate is maintained, and the matching status of the mineralization start-stop condition parameter group is continuously monitored; when the mineralization start-stop condition parameter group changes to a matching status, the mineralization module start instruction is executed.

10. A shipborne carbon capture intelligent control system based on the fusion of multiple environmental parameters, used to implement the shipborne carbon capture intelligent control method based on the fusion of multiple environmental parameters as described in any one of claims 1-9, characterized in that, include: The multi-source environmental parameter fusion and quantification module is used to calculate the dry ice generation area ratio of storage tanks, the storage consumption rate prediction ratio, and the mineralization start-up and shutdown condition parameter set. The control instruction conflict resolution module is used to generate temporary safe control instructions and consumption rate control instructions and extract conflict instruction sets, generate mineralization start-stop control instructions and extract timing lock-up instruction sequence sets. The temperature coupling contradiction determination module is used to determine the temperature coupling contradiction within the mineralization start-stop condition parameter group and generate matching state determination rules. The operating condition clustering and control execution module is used to perform clustering based on the set of conflicting instructions and the set of timing lock-up instructions, and to execute control strategies based on the clustering results.

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