Low-noise and high-efficiency ship composite cold source system

Abstract

The present application relates to the technical field of ship refrigeration, and proposes a low-noise and high-efficiency ship composite cold source system, which comprises: a data acquisition module for acquiring ship attitude angle, cabin refrigeration load variation, freon refrigerating unit operating parameters and cabin acoustic environment parameters; a swing working condition compensation module for compensating and optimizing seawater cold source and cold storage cold source by using attitude data to obtain corrected multi-cold source cascade coupling refrigeration control parameters; a working condition identification and switching module for identifying ship working condition modes according to refrigeration load variation, adaptively switching and controlling the freon refrigerating unit to obtain a multi-cold source collaborative operation strategy; an adaptive noise reduction optimization module for vibration and noise reduction optimization of refrigeration equipment based on acoustic environment parameters to obtain low-noise operation control parameters; and a comprehensive control decision module for fusing various control parameters to generate unified system operation instructions. The present application realizes efficient and low-noise operation of the ship composite cold source system.

Description

Technical Field

[0001] This invention relates to the field of marine refrigeration technology, and in particular to a low-noise, high-efficiency marine composite cold source system. Background Technology

[0002] The ship composite cooling system is a technology that integrates multiple cooling source devices such as seawater cooling source, cold storage cooling source and Freon refrigeration unit to meet the cooling needs of ship cabins. It has the advantages of flexible energy utilization, strong adaptability and relatively low operating cost. It can improve the cooling efficiency of ships through multi-cold source cascade coupling cooling and adaptive switching of operating conditions. It is an important technical direction for energy conservation and emission reduction in modern ships.

[0003] In existing technologies, when dealing with complex marine environments and variable operating conditions, ship refrigeration systems operate with multi-source cooling scheduling and noise reduction control independently. Cooling source scheduling primarily relies on static design parameters for fixed-mode switching, while noise reduction control mainly uses preset damping parameters for passive vibration reduction. However, under complex operating conditions such as ship rolling and noise-sensitive operations, existing systems cannot coordinate multi-source cooling control and adaptive noise reduction optimization based on changes in the ship's operating state, resulting in low refrigeration system efficiency and poor noise control performance. Summary of the Invention

[0004] In view of this, the present invention proposes a low-noise and high-efficiency ship composite cold source system, which solves the problem that existing systems cannot perform multi-cold source coordinated control and adaptive noise reduction optimization according to changes in ship operating status under complex operating environments such as ship rolling conditions and noise-sensitive operations, resulting in low operating efficiency and poor noise control of the refrigeration system.

[0005] The technical solution of this invention is achieved as follows: This invention provides a low-noise, high-efficiency marine composite cold source system, the system comprising: The data acquisition module is used to collect basic operational data, including ship attitude angle data, cabin cooling load change data, Freon refrigeration unit operating parameters, and cabin acoustic environment parameters. The swaying condition compensation module is used to compensate for and coordinate the swaying condition of the seawater cold source and the cold storage cold source using the ship attitude angle data, so as to obtain the corrected multi-cold source cascade coupling cooling control parameters. The operating condition identification and switching module is used to identify the ship's operating condition mode using the cabin cooling load change data, and to adaptively switch the operating parameters of the Freon refrigeration unit according to the ship's operating condition mode to obtain a multi-cold source collaborative operation strategy. The adaptive noise reduction optimization module is used to analyze the cabin noise characteristics using the cabin acoustic environment parameters, and to perform adaptive vibration reduction and noise reduction optimization on the refrigeration equipment based on the cabin noise characteristics to obtain low-noise operation control parameters. The integrated control decision module is used to perform integrated control based on the modified multi-cold source cascade coupling cooling control parameters, the multi-cold source collaborative operation strategy, and the low-noise operation control parameters, and generate operating instructions for the ship's composite cold source system.

[0006] In some embodiments, the swaying condition compensation module includes: The seawater intake condition adaptive unit is used to calculate the actual position offset of the seawater intake based on the ship attitude angle data, and to correct the cooling capacity parameters of the seawater cold source based on the actual position offset. The stratification state control unit of the cold storage tank is used to analyze the stratification state of the phase change material in the cold storage tank based on the ship attitude angle data, and adjust the cold storage cold source release control parameters according to the stratification state. The power load coordination and control unit is used to acquire the load status data of the ship's power system and coordinate the start-up and shutdown timing parameters of the Freon refrigeration unit based on the power system load status data and the refrigeration demand.

[0007] In some embodiments, the seawater intake condition adaptive unit is used for: Using the roll and pitch angles in the ship attitude angle data, the water depth offset and angle offset of the seawater intake relative to the design position are calculated. Measure the actual seawater flow velocity at the seawater intake point, and calculate the water intake efficiency correction coefficient based on the actual seawater flow velocity, the water depth offset, and the angle offset. The theoretical cooling capacity value of the seawater cold source is adjusted according to the water intake efficiency correction coefficient to obtain the cooling capacity parameter of the seawater cold source.

[0008] In some embodiments, the stratification state control unit of the cold storage tank is used for: Calculate the tilt angle of the liquid level in the cold storage tank based on the roll angle in the ship attitude angle data; The temperature status of the phase change material in the upper, middle and lower layers of the cold storage tank is monitored respectively. Based on the temperature status of the phase change material and the liquid level tilt angle, the effective cold storage volume of each layer of phase change material is analyzed. Based on the difference in effective cold storage volume, the opening ratio of the upper and lower inlet and outlet valves of the cold storage tank is controlled to obtain the cold source release control parameters.

[0009] In some embodiments, the power load coordination control unit is used for: Real-time monitoring of the current power load and reserve power capacity of the ship's power system, and acquisition of the power system load status data; Analyze the power demand trends of ship operation equipment to identify peak and off-peak electricity load periods; The start-up time of the Freon refrigeration unit is delayed during the peak power load period, and the start-up time of the Freon refrigeration unit is advanced during the off-peak power load period, thereby generating the start-up and shutdown sequence parameters of the Freon refrigeration unit.

[0010] In some embodiments, the operating condition identification and switching module includes: The operating condition mode identification unit is used to perform operating condition mode analysis based on the cabin cooling load change data and seawater temperature threshold, identify low-temperature sea area energy-saving mode, medium-temperature sea area coupling mode, high-temperature sea area full-load mode, berthing energy storage mode and fault redundancy mode, and generate ship operating condition mode identification results. The Freon unit switching control unit is used to perform graded switching control of the operating parameters of the Freon refrigeration unit according to the ship operating condition mode recognition results, adjust the compressor start-stop status and operating frequency, and generate a multi-cold source collaborative operation strategy.

[0011] In some embodiments, the adaptive noise reduction optimization module includes: The cabin acoustic adaptive control unit is used to analyze the cabin reverberation time and sound absorption coefficient based on the cabin acoustic environment parameters, and adjust the damping parameters of the refrigeration equipment vibration reduction base according to the cabin acoustic characteristics; The predictive silent switching control unit is used to acquire work plan data of ship operation equipment and switch the cooling equipment to silent operation mode in advance according to the operating period of noise-sensitive equipment; The resonance avoidance frequency control unit is used to monitor the ship's load status data, identify the inherent frequency changes of the refrigeration piping system based on the load status, and adjust the operating frequency of the circulating pump to avoid the resonance frequency band.

[0012] In some embodiments, the cabin acoustic adaptive control unit is used for: The reverberation time and wall sound absorption coefficient of the refrigeration equipment installation compartment are measured using the acoustic environmental parameters of the compartment. Analyze the main noise-reflecting surfaces and sound wave propagation paths of the cabin to identify the noise amplification frequency band of the cabin. By adjusting the rubber damping stiffness and spring buffer damping coefficient of the Freon refrigeration compressor vibration damping base according to the noise amplification frequency band, the adaptive vibration reduction parameters of the cabin can be obtained.

[0013] In some embodiments, the predictive mute switching control unit is used for: Connect to the ship operation management system to obtain the working schedule of sonar equipment and precision measuring instruments, and identify noise-sensitive periods; Before the start of the noise-sensitive period, the Freon refrigeration unit is shut down in advance and switched to a combined cooling mode of seawater cold source and cold storage cold source. By pre-storing cold energy through a cold storage source, the cooling effect during silent operation is ensured, and predictive silent control parameters are obtained.

[0014] In some embodiments, the resonance avoidance frequency control unit is used for: Monitor ship draft data and determine the ship's current load status based on changes in draft; The real-time vibration frequency of the refrigeration cycle pipeline is measured using a pipeline vibration sensor, and the current natural frequency of the pipeline system is analyzed in conjunction with the load condition. Adjusting the variable frequency operation frequency of the seawater circulation pump and the cold storage circulation pump according to the current natural frequency of the pipeline system ensures that the operating frequency of the pump equipment avoids the dangerous range of resonance of the natural frequency of the pipeline, thus obtaining resonance avoidance operating parameters.

[0015] The low-noise, high-efficiency marine composite cold source system of the present invention has the following advantages over the prior art: (1) The data acquisition module collects ship attitude angle data, cabin cooling load change data, Freon refrigeration unit operating parameters and cabin acoustic environment parameters in real time. The swaying condition compensation module uses ship attitude angle data to compensate and coordinate the seawater cold source and cold storage cold source for swaying condition. The condition identification and switching module identifies ship condition mode and adaptively switches Freon refrigeration unit according to the change of cooling load. The adaptive noise reduction optimization module performs adaptive vibration reduction and noise reduction optimization of refrigeration equipment based on cabin acoustic environment parameters. The integrated control decision module integrates the control parameters to generate a unified system operation command, thereby realizing the organic combination of multi-cold source coordinated control and adaptive noise reduction optimization according to the change of ship operating status, and realizing the efficient and low-noise operation of the ship composite cold source system. (2) The seawater intake condition adaptive unit uses the roll and pitch angles in the ship attitude angle data to calculate the offset of the seawater intake position, and calculates the water intake efficiency correction coefficient in combination with the actual seawater flow velocity to adjust the cooling capacity parameters of the seawater cold source; the cold storage tank layer status control unit calculates the liquid level tilt angle according to the roll angle, monitors the temperature status of each layer of phase change material to analyze the effective cold storage volume, and adjusts the cold storage cold source release control parameters by differentially controlling the opening ratio of the inlet and outlet water valves; the power load coordination control unit monitors the load status of the ship's power system in real time, identifies the trend of power demand change, and delays and advances the start-up time of the Freon refrigeration unit during the peak and low load periods, respectively, so as to realize the coordinated compensation control of the seawater cold source, cold storage cold source and Freon refrigeration unit under the ship's rolling condition, and improves the operation stability and cooling efficiency of the composite cold source system under complex sea conditions; (3) The cabin acoustic adaptive control unit uses cabin acoustic environment parameters to measure cabin reverberation time and wall sound absorption coefficient, analyzes noise amplification frequency band and adjusts rubber damping stiffness and spring buffer damping coefficient of Freon refrigeration compressor vibration damping base; the predictive silent switching control unit connects to the ship operation management system to obtain the work plan of sonar equipment and precision measuring instruments, and shuts down Freon refrigeration unit in advance and switches to seawater cold source and cold storage cold source co-cooling mode before the start of noise sensitive period; the resonance avoidance frequency control unit monitors the ship's draft to judge the load status, uses pipeline vibration sensor to measure the real-time vibration frequency of refrigeration circulation pipeline, adjusts the frequency conversion operation frequency of seawater circulation pump and cold storage circulation pump to avoid the pipeline's natural frequency resonance danger range, thereby realizing adaptive noise reduction optimization control of refrigeration equipment according to cabin acoustic characteristics, work equipment work plan and ship load status, and realizing low noise operation of ship composite cold source system under different acoustic environment and operation conditions. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a structural diagram of a low-noise, high-efficiency marine composite cold source system according to the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0019] Currently, the operating parameters of shipboard integrated cooling systems (such as seawater cooling capacity, cold storage cold source release control, Freon refrigeration unit start-up and shutdown sequence, and vibration damping of refrigeration equipment) often require extensive sea trials and adjustments based on engineers' experience. The optimal parameters vary significantly depending on sea conditions and ship operating status. Each operating parameter requires multiple sea trials for verification, which is time-consuming and costly, resulting in long commissioning cycles and poor system stability. Existing empirical models for new types of vessels (such as deep-sea research vessels) lack rapid adaptability, have insufficient accuracy, and struggle to accurately model the mapping relationship between complex marine environmental characteristics (such as seawater temperature variations and ship roll amplitude) and cooling control parameters.

[0020] In related technologies, rule-based parameter control systems cannot effectively handle the multidimensional nonlinear relationships of multiple cold sources, leading to control results that deviate from actual requirements. Furthermore, traditional algorithms have limited responsiveness to dynamic sea state changes, making it difficult to meet the high-precision requirements of modern ships for cooling performance and noise control.

[0021] Based on this, in some embodiments, please refer to Figure 1 This invention provides a low-noise, high-efficiency marine composite cold source system, the system comprising: The data acquisition module is used to collect basic operational data, including ship attitude angle data, cabin cooling load change data, Freon refrigeration unit operating parameters, and cabin acoustic environment parameters.

[0022] Understandably, the data acquisition module acquires key attitude parameters such as roll, pitch, and bow angles in real time through ship attitude sensors, monitors real-time temperature demand changes in each compartment through temperature sensors, acquires operating parameters such as compressor operating status, condenser temperature, and evaporator temperature through the refrigeration unit monitoring system, and measures acoustic environmental characteristics such as compartment reverberation time and wall sound absorption coefficient through acoustic sensors, providing comprehensive basic data support for each functional module.

[0023] The swaying condition compensation module is used to compensate for and coordinate the swaying condition of the seawater cold source and the cold storage cold source using the ship attitude angle data, so as to obtain the corrected multi-cold source cascade coupling cooling control parameters.

[0024] It is understandable that the rolling condition compensation module calculates the offset of the seawater intake position based on the ship's roll and pitch angles, and corrects the cooling capacity of the seawater cold source by combining the seawater flow velocity measurement results; at the same time, it analyzes the effective cold storage volume of each layer of phase change material based on the tilt angle of the cold storage tank liquid level, and controls the opening ratio of the inlet and outlet water valves in a differentiated manner; and it coordinates the ship's power load status with the cooling demand, adjusting the start-up and shutdown sequence of the Freon refrigeration unit during peak and off-peak periods of power load, so as to achieve coordinated compensation of multiple cold sources under rolling conditions.

[0025] The operating condition identification and switching module is used to identify the ship's operating condition mode using the cabin cooling load change data, and to adaptively switch the operating parameters of the Freon refrigeration unit according to the ship's operating condition mode to obtain a multi-cold source collaborative operation strategy.

[0026] It is understandable that the operating condition identification and switching module analyzes the operating conditions based on the cabin cooling load change data and seawater temperature threshold, and automatically identifies five typical operating conditions: low temperature sea area energy-saving mode, medium temperature sea area coupling mode, high temperature sea area full load mode, berthing energy storage mode, and fault redundancy mode. Based on the identification results, it performs graded switching control on the operating parameters of the Freon refrigeration unit, dynamically adjusts the compressor start-stop status and operating frequency, and ensures the optimal multi-cold source coordinated operation effect under different operating conditions.

[0027] The adaptive noise reduction optimization module is used to analyze the cabin noise characteristics using the cabin acoustic environment parameters, and to perform adaptive vibration reduction and noise reduction optimization on the refrigeration equipment based on the cabin noise characteristics to obtain low-noise operation control parameters.

[0028] It is understandable that the adaptive noise reduction optimization module identifies the noise amplification frequency band by analyzing the reverberation time and sound absorption coefficient of the cabin, and adjusts the damping parameters of the vibration reduction base of the refrigeration compressor accordingly; it accesses the ship operation management system to obtain the working plans of noise-sensitive equipment such as sonar equipment, and switches to a silent mode with coordinated cooling from seawater cold source and cold storage cold source during sensitive periods in advance; at the same time, it monitors changes in the ship's load status, identifies changes in the natural frequency of the refrigeration piping system, and adjusts the operating frequency of the circulating pump to avoid the resonant frequency band, thereby achieving comprehensive noise reduction optimization of the refrigeration equipment.

[0029] The integrated control decision module is used to perform integrated control based on the modified multi-cold source cascade coupling cooling control parameters, the multi-cold source collaborative operation strategy, and the low-noise operation control parameters, and generate operating instructions for the ship's composite cold source system.

[0030] It is understandable that the integrated control decision module assigns weights and fuses the control parameters output by the three modules of sway condition compensation, condition identification and switching, and adaptive noise reduction optimization to generate a unified system control strategy matrix. Based on this control strategy matrix, specific control commands are issued to the seawater cold source, cold storage cold source, Freon refrigeration unit, and various auxiliary equipment to achieve coordinated and unified control of the entire ship's composite cold source system, ensuring stable and efficient operation under complex marine environments and variable operating conditions.

[0031] Through the modules described above, this embodiment realizes the transformation of the ship's composite cooling source system from traditional experience-driven to data-driven, which not only reduces commissioning costs and maintenance time, but also improves the consistency of cooling effect, the stability of system operation and the effectiveness of noise control, and has good versatility, scalability and industrialization prospects.

[0032] In some embodiments, based on the above embodiments, the data acquisition module includes: The ship operation status monitoring unit is used to collect ship operation status parameters through the ship sensor network, and to obtain the ship attitude angle data and the cabin cooling load change data.

[0033] For example, the ship operation status monitoring unit adopts a distributed sensor network architecture, in which the ship attitude sensor includes an inertial measurement unit composed of a three-axis gyroscope, accelerometer and magnetometer, which can measure the ship's roll angle, pitch angle and bow angle in real time with a measurement accuracy of ±0.1° and a data sampling frequency of 100Hz; the cabin cooling load monitoring is achieved through a temperature and humidity monitoring network composed of PT100 platinum resistance temperature sensors and humidity sensors deployed in each cabin, with sensor accuracy of ±0.1°C and ±2%RH, data acquisition interval of 30 seconds, and data transmission to the central processing unit via CAN bus communication protocol.

[0034] The refrigeration equipment status monitoring unit is used to collect equipment operating status parameters through the refrigeration system monitoring device, and to obtain the operating parameters of the Freon refrigeration unit and the acoustic environment parameters of the cabin.

[0035] It is understandable that the refrigeration equipment status monitoring unit adopts a multi-layer monitoring architecture. Among them, the Freon refrigeration unit parameter monitoring includes key equipment status sensors such as compressor current sensor, temperature sensor, pressure sensor and flow sensor, which can acquire operating parameters such as compressor operating current, condenser temperature, evaporator temperature, refrigerant pressure and circulation flow in real time. The sensor accuracies are ±1%, ±0.5°C, ±0.25% and ±2%, respectively. The cabin acoustic environment parameter monitoring is realized through an acoustic monitoring system composed of a sound level meter and a spectrum analyzer. It can measure parameters such as cabin reverberation time, wall sound absorption coefficient, noise spectrum distribution and sound pressure level. The measurement frequency range is 20Hz-20kHz, and the dynamic range is 25-140dB. Data acquisition is achieved by connecting to the main controller of the data acquisition module through the Ethernet communication protocol.

[0036] Through the hierarchical monitoring architecture of the data acquisition module, this embodiment can systematically acquire all-round basic data required for the operation of the ship's composite cooling source system, significantly improving the accuracy, real-time performance and reliability of data acquisition, providing high-quality data support for the coordinated control of various functional modules, and further enhancing the system's adaptability and control precision in complex marine environments.

[0037] In some embodiments, based on the above embodiments, the swaying condition compensation module includes: The seawater intake condition adaptive unit is used to calculate the actual position offset of the seawater intake based on the ship attitude angle data, and to correct the cooling capacity parameters of the seawater cold source based on the actual position offset.

[0038] For example, the seawater intake condition adaptive unit adopts a correction model based on multivariate nonlinear regression. By analyzing the influence of the ship's roll angle φ and pitch angle θ on the position of the seawater intake, a mathematical relationship is established between the water intake efficiency correction coefficient and the attitude angle. This enables real-time dynamic adjustment of the seawater cold source's cooling capacity, ensuring a stable cooling effect under different swaying conditions.

[0039] The stratification state control unit of the cold storage tank is used to analyze the stratification state of the phase change material in the cold storage tank based on the ship's attitude angle data, and adjust the cold release control parameters of the cold storage source according to the stratification state.

[0040] It is understandable that the layered state control unit of the cold storage tank adopts a layered volume calculation model based on the liquid level tilt angle. By monitoring the temperature state of the phase change material in different layers of the cold storage tank, a mapping relationship between the effective cold storage volume and the liquid level tilt angle is established. This enables differentiated control of the opening ratio of the upper and lower inlet and outlet water valves, thereby optimizing the cold storage and release process of the phase change material.

[0041] The power load coordination and control unit is used to acquire the load status data of the ship's power system and coordinate the start-up and shutdown timing parameters of the Freon refrigeration unit based on the power system load status data and the refrigeration demand.

[0042] For example, the power load coordination and control unit adopts a timing optimization algorithm based on power demand forecasting. By analyzing the power demand change trend of ship operation equipment, it establishes a mechanism for identifying peak and off-peak periods of power load. Under the premise of meeting cooling demand, it can optimize the start-up and shutdown sequence of Freon refrigeration units and achieve balanced distribution of power load.

[0043] In some embodiments, based on the above embodiments, the seawater intake condition adaptive unit includes: Using the roll and pitch angles from the ship's attitude angle data, the water depth offset and angular offset of the seawater intake relative to the design position are calculated.

[0044] For example, this embodiment uses a three-dimensional geometric coordinate transformation method, and the formula for calculating the water depth offset is: ; in, This represents the water depth offset of the seawater intake relative to its design location. The ship's roll angle, For the ship's pitch angle, This refers to the lateral distance between the water intake and the ship's center of gravity. This is the longitudinal distance between the water intake and the ship's center of gravity.

[0045] The formula for calculating the angular offset is: ; in, This represents the angular offset (in radians) of the seawater intake relative to the horizontal plane. This calculation method can accurately obtain the actual spatial position offset of the seawater intake under ship rolling conditions.

[0046] Measure the actual seawater flow velocity at the seawater intake point, and calculate the water intake efficiency correction coefficient based on the actual seawater flow velocity, the water depth offset, and the angle offset.

[0047] It can be understood that the formula for calculating the water intake efficiency correction factor is: ; in, This is a correction factor for water intake efficiency. This is the baseline water intake efficiency under design conditions. This represents the actual seawater flow velocity. For flow rate correction factor, This is the flow rate correction factor. To design the seawater flow velocity, This is the water depth offset correction factor. This is the water depth correction factor. This is the angle offset correction factor. The water intake efficiency correction coefficient comprehensively considers the impact of changes in seawater flow velocity, intake location offset, and angle changes on water intake efficiency.

[0048] The theoretical cooling capacity value of the seawater cold source is adjusted according to the water intake efficiency correction coefficient to obtain the cooling capacity parameter of the seawater cold source.

[0049] For example, the revised formula for calculating the cooling capacity of the seawater cold source is as follows: ; in, To correct the cooling capacity of the seawater cold source, The theoretical cooling capacity of the seawater cold source under design conditions. This is a correction factor for water intake efficiency. This is a seawater temperature correction factor. This is a correction factor for seawater temperature. This refers to the actual seawater temperature. To design seawater temperature, this correction method enables real-time dynamic adjustment of the cooling capacity of the seawater cold source, ensuring the stability of the cooling effect under different oscillation conditions and seawater conditions.

[0050] Specifically, flow rate correction factor Water depth correction factor Seawater temperature correction factor In one specific embodiment, considering the operation of a deep-sea research vessel in sea state 3, the roll angle φ = 8°, the pitch angle θ = 5°, the lateral distance of the water intake L1 = 12m, and the longitudinal distance L2 = 8m. Taking kv = 0.03s² / m² and kh = 0.15m... -1 kT=0.04K -1 The measured seawater flow velocity is v = 2.1 m / s, the design flow velocity is v0 = 1.8 m / s, the actual seawater temperature is Tsw = 285 K, and the design temperature is Tsw0 = 288 K. The calculated water depth offset is: ΔH = 12 × sin(8°) + 8 × sin(5°) × cos(8°) = 2.36 m. The water intake efficiency correction coefficient is: η = 0.92 × 0.95 × 0.78 × 0.96 = 0.65.

[0051] In some embodiments, based on the above embodiments, the stratification state control unit of the cold storage tank includes: The tilt angle of the liquid level in the cold storage tank is calculated based on the roll angle in the ship's attitude angle data.

[0052] For example, the formula for calculating the liquid level tilt angle is: ; in, The tilt angle of the liquid level inside the cold storage tank. The diameter of the cold storage tank, This is the total height of the cold storage tank. This refers to the ship's roll angle. This calculation method, based on the principles of hydrostatics, accurately describes the tilt state of the liquid level in the cold storage tank during a ship's roll.

[0053] The temperature status of the phase change materials in the upper, middle and lower layers of the cold storage tank is monitored respectively. Based on the temperature status of the phase change materials and the liquid level tilt angle, the effective cold storage volume of each layer of phase change materials is analyzed.

[0054] It can be understood that the formula for calculating the effective cold storage volume is: ; in, For the first Effective cold storage volume of layered phase change materials They represent the upper, middle, and lower layers, respectively. For the first The design volume of the layer, For the first State correction factor for layered phase change materials. , This refers to the melting point temperature of the phase change material. For the first Measured temperature of layer This is the temperature at which the phase change material completely cures. For the first Layer level tilt correction factor. , , This embodiment accurately analyzes the actual cold storage capacity of each layer of phase change material under ship swaying conditions.

[0055] Upper liquid level correction factor Scope of application Mid-level correction factor Scope of application Lower liquid level correction factor Scope of application In one specific embodiment, the cold storage tank has a diameter D = 3.5m, a total height Ht = 4.2m, and when the ship's roll angle φ = 12°, the liquid level tilt angle γ = arctan(3.5 × sin(12°) / (2 × 4.2)) = 5.6°. The temperatures of each phase change material layer are T1 = 276K, T2 = 278K, T3 = 280K, melting point Tmelt = 285K, and solidification temperature Tsolid = 275K.

[0056] Calculate the correction factors for each layer: ; ; .

[0057] Based on the difference in effective cold storage volume, the opening ratio of the upper and lower inlet and outlet valves of the cold storage tank is controlled to obtain the cold source release control parameters.

[0058] For example, the formula for calculating the valve opening ratio is: ; in, This represents the opening ratio of the upper and lower valves. This refers to the opening degree of the upper inlet and outlet water valves. This refers to the opening degree of the lower inlet and outlet valves. The total opening degree constraint is as follows: ,in, This is the total valve opening requirement for the system. This control method optimizes the cold release control strategy of the cold storage tank based on the differences in the effective cold storage volume of each layer of phase change material.

[0059] In some embodiments, based on the above embodiments, the power load coordination and control unit includes: Real-time monitoring of the ship's power system's current power load and reserve power capacity, and acquisition of the power system's load status data.

[0060] For example, the formula for calculating the load factor of a power system is: ; in, For the power system load factor, For the current power load, This represents the total installed capacity of the system.

[0061] The formula for calculating standby power capacity is: ; in, For available backup power capacity, This provides a safety margin for the system. The monitoring method can monitor the load status and adjustability of the ship's electrical system in real time.

[0062] Analyze the changing trends of power demand of ship operation equipment to identify peak and off-peak periods of power load.

[0063] It is understandable that the moving average algorithm is used to predict power demand trends. ; in, for The power demand trend value at any given time. for Actual power demand at any given moment. This is the length of the sliding window. The peak period discrimination criterion is... The criteria for identifying a trough period are: ,in, For high load threshold, The threshold is set at low load. This prediction method can identify trends in ship electrical load changes in advance.

[0064] The start-up time of the Freon refrigeration unit is delayed during the peak power load period, and the start-up time of the Freon refrigeration unit is advanced during the off-peak power load period, thereby generating the start-up and shutdown sequence parameters of the Freon refrigeration unit.

[0065] For example, the start-up time adjustment formula is: ; in, Adjustment amount for startup time, This is the delay adjustment factor. For reference load factor, Adjust the time based on the baseline. When Delayed startup ( ),when This is to start in advance ( This timing optimization method can achieve balanced regulation of the ship's electrical load while ensuring cooling demand.

[0066] Through the swaying condition compensation module, this embodiment establishes a complete mathematical model system for multi-cold source coordinated control. It not only realizes the accurate calculation of seawater intake efficiency, stratified state of cold storage tanks, and power load coordination, but also effectively solves the technical problem of unstable cooling capacity of multiple cold sources under ship swaying conditions through a multivariate nonlinear correction algorithm. This significantly improves the adaptability and control accuracy of ship composite cold source systems in complex marine environments, providing an important theoretical foundation and practical value for the development of ship refrigeration technology.

[0067] In some embodiments, based on the above embodiments, the working condition identification and switching module includes: The operating condition mode identification unit is used to perform operating condition mode analysis based on the cabin cooling load change data and seawater temperature threshold, identify low temperature sea area energy saving mode, medium temperature sea area coupling mode, high temperature sea area full load mode, berthing energy storage mode and fault redundancy mode, and generate ship operating condition mode identification results.

[0068] It is understandable that the operating condition pattern recognition unit adopts a classification and recognition model based on a multilayer perceptron. By constructing multi-dimensional feature vectors such as the cabin cooling load change rate, seawater temperature and its change gradient, a nonlinear mapping relationship between the operating condition pattern and the feature parameters is established. The model structure includes an input layer, two hidden layers and an output layer. The input layer is set with 6 neurons corresponding to 6 feature parameters, the first hidden layer is set with 12 neurons, the second hidden layer is set with 8 neurons, and the output layer is set with 5 neurons corresponding to five operating condition patterns. It can accurately identify the current operating condition pattern of the ship in real time.

[0069] The Freon unit switching control unit is used to perform graded switching control of the operating parameters of the Freon refrigeration unit according to the ship operating condition mode recognition results, adjust the compressor start-stop status and operating frequency, and generate the multi-cold source collaborative operation strategy.

[0070] For example, the Freon unit switching control unit adopts a hierarchical switching algorithm based on a fuzzy logic controller to establish a fuzzy inference rule base between the operating condition mode recognition results and the compressor operating parameters. It includes 25 control rules covering all operating condition combinations. Through membership function calculation and fuzzy inference process, it realizes smooth switching control of compressor start-stop state and operating frequency, ensuring the coordinated operation effect of multi-cold source system under different operating conditions.

[0071] The construction process of the multilayer perceptron classification model of the operating condition pattern recognition unit includes: First, the input features are preprocessed. The formula for calculating the cabin cooling load change rate is: ; in, For the cabin cooling load change rate, for The cabin cooling load at any given time For time intervals.

[0072] The formula for calculating the seawater temperature gradient is: ; in, The gradient of seawater temperature change. for The seawater temperature at that moment.

[0073] The formula for constructing the input feature vector is: ; in, For the input feature vector, For ambient temperature, The input feature vector represents the ship's power load. After standardization, this feature vector is input into a multilayer perceptron model for operating condition mode classification and recognition.

[0074] The forward propagation calculation process of the multilayer perceptron model is as follows: The calculation formula for the output of the first hidden layer is: ; in, This is the output vector of the first hidden layer. It is the ReLU activation function. This is the weight matrix from the input layer to the first hidden layer (dimension 12×6). The standardized input feature vector, This is the bias vector for the first hidden layer.

[0075] The formula for calculating the output of the second hidden layer is: ; in, This is the output vector of the second hidden layer. This is the weight matrix from the first hidden layer to the second hidden layer (dimension 8×12). This is the bias vector for the second hidden layer.

[0076] The formula for calculating the output layer operating condition probability distribution is: ; in, Let be the probability distribution vectors for the five operating conditions. This is the weight matrix from the second hidden layer to the output layer (dimension 5×8). This is the output layer bias vector. The working condition pattern recognition result is the pattern category with the highest probability.

[0077] The training process of the multilayer perceptron model adopts a supervised learning method based on historical ship operation data, and the loss function is cross-entropy loss. ; in, For classification loss function, The number of training samples. For the first The first sample Real labels for each category For the first The first sample The predicted probabilities of each category are calculated. The optimization algorithm uses the Adam optimizer with a learning rate of 0.001 and 500 training epochs. The network weight parameters are updated through backpropagation to obtain the trained working condition pattern recognition model.

[0078] The fuzzy logic controller design for the Freon unit switching control unit includes: The fuzzy rules for compressor start / stop status control are as follows: ; in, For start / stop control rules, For the first The probability value of each working condition mode. According to the cooling demand level, This indicates the compressor is in start / stop mode.

[0079] The fuzzy output calculation formula for compressor operating frequency control is as follows: ; in, For the compressor operating frequency, For the first The activation strength of the rule, For the first The output frequency value corresponding to each rule.

[0080] The formula for calculating the activation intensity of a rule is: ; in, For the first The input variable in the th... The membership function value in the rule, The number of input variables. This fuzzy controller can achieve continuous and smooth adjustment of compressor operating parameters based on the operating condition mode recognition results.

[0081] Through the operating condition identification and switching module, this embodiment establishes a complete ship operating condition mode identification and Freon refrigeration unit switching control system. It not only realizes accurate classification and identification of operating condition modes based on multilayer sensor, but also realizes graded and smooth switching of compressor operating parameters through fuzzy logic controller. It effectively solves the problems of energy waste and poor cooling effect caused by traditional fixed mode operation, significantly improves the adaptive capability and operating efficiency of ship composite cold source system, and provides important theoretical support and practical guidance for the control optimization of ship refrigeration system.

[0082] In some embodiments, based on the above embodiments, the adaptive noise reduction optimization module includes: The cabin acoustic adaptive control unit is used to analyze the cabin reverberation time and sound absorption coefficient based on the cabin acoustic environment parameters, and adjust the damping parameters of the refrigeration equipment vibration reduction base according to the cabin acoustic characteristics.

[0083] It is understandable that the cabin acoustic adaptive control unit adopts an adaptive control algorithm based on acoustic modeling. By establishing a mathematical relationship model between the cabin acoustic characteristics and vibration reduction parameters, it calculates the cabin reverberation time and noise amplification frequency band in real time, and dynamically adjusts the rubber damping stiffness and spring buffer damping coefficient of the Freon refrigeration compressor vibration reduction base accordingly. This enables personalized noise reduction optimization control based on the acoustic environment characteristics of different cabins.

[0084] The predictive silent switching control unit is used to acquire work plan data of ship operation equipment and pre-switch the refrigeration equipment to silent operation mode according to the operating period of noise-sensitive equipment.

[0085] It is understandable that the predictive silent switching control unit adopts a forward-looking control strategy based on time series prediction. By accessing the ship operation management system, it obtains the working time plan of sonar equipment and precision measuring instruments, establishes a mechanism for identifying noise-sensitive periods, and pre-executes the silent switching operation of the cooling equipment before the start of the sensitive period. By pre-storing cold energy through cold storage source, it ensures the cooling effect during silent operation, thus achieving a coordinated balance between cooling demand and noise reduction demand.

[0086] The resonance avoidance frequency control unit is used to monitor the ship's load status data, identify the inherent frequency changes of the refrigeration piping system based on the load status, and adjust the operating frequency of the circulating pump to avoid the resonance frequency band.

[0087] It is understandable that the resonance avoidance frequency control unit adopts a vibration control algorithm based on frequency domain analysis. By monitoring changes in the ship's draft, it determines the load status, uses pipeline vibration sensors to measure the vibration characteristics of the refrigeration circulation pipeline in real time, establishes a correlation model between the load status and the natural frequency of the pipeline, and dynamically adjusts the variable frequency operation frequency of the seawater circulation pump and the cold storage circulation pump accordingly to ensure that the operating frequency of the pump equipment avoids the resonance danger range of the natural frequency of the pipeline.

[0088] In some embodiments, based on the above embodiments, the cabin acoustic adaptive control unit includes: The reverberation time and wall sound absorption coefficient of the refrigeration equipment installation compartment are measured using the acoustic environmental parameters of the compartment.

[0089] For example, the reverberation time is calculated using the Sabine formula: ; in, For cabin reverberation time, For the volume of the cabin, This represents the total sound absorption of the cabin.

[0090] The formula for calculating the total sound absorption is: ; in, For the first The area of ​​each surface, For the first The sound absorption coefficient of each surface. This represents the number of cabin surfaces. This calculation method can accurately obtain the basic acoustic environmental parameters of the cabin, providing a theoretical basis for noise reduction control.

[0091] Analyze the main noise-reflecting surfaces and sound wave propagation paths of the cabin to identify the noise amplification frequency band of the cabin.

[0092] It is understandable that the sound wave reflection path analysis uses geometric acoustics methods, and the formula for calculating the sound pressure level amplification factor is: ; in, For frequency The sound pressure level amplification factor at that location. The maximum number of reflections, For the first The reflection coefficient of secondary reflection. For the first The secondary reflection path at frequency The phase difference at that point. The identification condition for the noise amplification frequency band is... ,in, This analytical method can accurately identify the key frequency bands for noise amplification within the cabin.

[0093] By adjusting the rubber damping stiffness and spring buffer damping coefficient of the Freon refrigeration compressor vibration damping base according to the noise amplification frequency band, the adaptive vibration reduction parameters of the cabin can be obtained.

[0094] For example, the formula for calculating the transmissibility of the vibration damping base is: ; in, For frequency Transmission rate at that location For frequency ratio, The natural frequency of the vibration damping base, is the damping ratio.

[0095] The formula for adjusting the natural frequency is: ; in, For spring stiffness, For compressor quality.

[0096] The damping ratio adjustment formula is: ; in, This is the damping coefficient. It can be adjusted... and Make By avoiding the noise amplification frequency band, the optimal vibration reduction and noise reduction effect can be achieved.

[0097] Specifically, amplification threshold Maximum number of reflections Reflectance coefficient Damping ratio In one specific embodiment, a cabin has a volume of 180 m³, a total sound absorption of 45 m² on its walls, and a reverberation time of 0.64 s. When the noise source frequency is 85 Hz, [the following is taken as an example]. Reflectance coefficient , Maximum number of reflections .

[0098] The compressor weighs 350kg, and its natural frequency must avoid the 85Hz±10Hz frequency range. The design damping ratio ζ=0.25; spring stiffness: K spring =(2π×65) 2 ×350=5.81×10 6 N / m; Damping coefficient: C damper =2×0.25×√(5.81×10 6 (×350)=712N·s / m.

[0099] In some embodiments, based on the above embodiments, the predictive mute switching control unit includes: By connecting to the ship operation management system, the system can obtain the working schedule of sonar equipment and precision measuring instruments, and identify noise-sensitive periods.

[0100] For example, noise-sensitive period identification is based on time window analysis of equipment work schedules, and the formula for identifying sensitive periods is: ; in, For the set of noise-sensitive time intervals, For the number of noise-sensitive devices, For the first The start time of operation for each device. For the first The end time of operation for each device. For preparation time, This provides a buffer period. This identification method allows for advance planning of quiet operating periods, ensuring the smooth operation of noise-sensitive tasks.

[0101] Before the start of the noise-sensitive period, the Freon refrigeration unit is shut down in advance and switched to a combined cooling mode of seawater cold source and cold storage cold source.

[0102] It can be understood that the switching time control formula is: ; in, For refrigeration equipment switching time, The earliest start time among all noise-sensitive devices. This is the time required for system switching.

[0103] The formula for allocating cooling capacity is: ; in, This represents the total cooling capacity in silent mode. The cooling capacity provided by the seawater cold source This refers to the cooling capacity released from the cold storage source. This switching strategy ensures that the cabin cooling needs are still met during silent operation.

[0104] By pre-storing cold energy through a cold storage source, the cooling effect during silent operation is ensured, and predictive silent control parameters are obtained.

[0105] For example, the formula for calculating pre-stored cold storage capacity is: ; in, To reserve the required amount of cooling capacity, This is the latest end time among all noise-sensitive devices. for The need for cooling at all times.

[0106] The formula for controlling the pre-charge of cold storage source is: ; in, For pre-charged cold power, For pre-charge cooling time, To improve cold storage efficiency, this pre-reserve strategy ensures the continuity and stability of cooling performance during silent operation.

[0107] In some embodiments, based on the above embodiments, the resonance avoidance frequency control unit includes: Monitor ship draft data and determine the ship's current load status based on changes in draft.

[0108] For example, the formula for calculating the load condition parameters is: ; in, For the ship's deadweight, The density of seawater, This refers to the drainage volume. The drainage volume is calculated based on the draft.

[0109] ; in, The area of ​​the waterline. This refers to the draft.

[0110] The formula for classifying load condition levels is: ; in, Load condition level, Unloaded mass For full load mass, The load condition is classified into several levels. This calculation method can accurately determine the current load condition of a ship.

[0111] The real-time vibration frequency of the refrigeration cycle pipeline is measured using a pipeline vibration sensor, and the current natural frequency of the pipeline system is analyzed in conjunction with the load condition.

[0112] It is understandable that the natural frequency of the pipeline system is calculated using a finite element model, and the natural frequency correction formula is: ; in, Under load The natural frequency of the pipeline below, This is the reference natural frequency under no-load conditions. This is the load correction factor.

[0113] Frequency domain analysis of the vibration measurement signal employs Fast Fourier Transform: ; in, For the frequency domain representation of the vibration signal, This is a time-domain vibration signal. Natural frequency identification is achieved through a peak detection algorithm, with the identification condition being... ,in This is the peak detection threshold.

[0114] Adjusting the variable frequency operation frequency of the seawater circulation pump and the cold storage circulation pump according to the current natural frequency of the pipeline system ensures that the operating frequency of the pump equipment avoids the dangerous range of resonance of the natural frequency of the pipeline, thus obtaining resonance avoidance operating parameters.

[0115] For example, the resonance danger zone is defined as: ; in, This is the resonant danger frequency range. This is the range coefficient for the danger zone.

[0116] The formula for adjusting the operating frequency of pump equipment is: ; in, To adjust the safe operating frequency, For the target operating frequency, To ensure a safety margin, this adjustment strategy effectively avoids resonance between pumps and piping systems.

[0117] Through the adaptive noise reduction optimization module, this embodiment establishes a complete acoustic optimization control system for ship refrigeration systems. It not only realizes adaptive vibration reduction control of the cabin based on acoustic modeling, but also achieves all-round noise reduction optimization of refrigeration equipment through predictive silent switching and resonance avoidance frequency control. It effectively solves the technical problem that traditional refrigeration systems cannot dynamically adjust noise reduction according to acoustic environment and operational requirements, significantly reduces the operating noise level of ship refrigeration systems, provides a good acoustic environment guarantee for noise-sensitive operations such as ship sonar detection and precision measurement, and improves the overall operational efficiency and environmental adaptability of ships.

[0118] In some embodiments, based on the above embodiments, the integrated control decision module includes: The multi-parameter fusion decision unit is used to perform weight allocation and parameter fusion of the modified multi-cold source cascade coupling cooling control parameters, the multi-cold source collaborative operation strategy, and the low-noise operation control parameters to generate a unified system control strategy matrix.

[0119] It is understandable that the multi-parameter fusion decision unit adopts a multi-objective decision fusion algorithm based on the analytic hierarchy process. By establishing a control parameter importance evaluation matrix, it dynamically allocates the weight coefficients of each control parameter, and uses a weighted fusion method to organically integrate the control parameters from the three modules of sway condition compensation, condition identification and switching, and adaptive noise reduction optimization. This enables the optimal balance among multiple objectives such as cooling efficiency, system stability, and noise control, ensuring the optimal comprehensive performance of the ship's composite cold source system under complex operating environments.

[0120] The system operation command issuing unit is used to issue specific control commands to each cold source device and auxiliary device according to the system control strategy matrix, and generate the operation command of the ship composite cold source system.

[0121] For example, the system operation command issuing unit adopts a distributed control architecture based on the device communication protocol. By parsing the various control parameters in the system control strategy matrix, it generates specific control commands for various equipment such as seawater cold source, cold storage cold source, Freon refrigeration unit, circulating pump, and valve. The command is issued in real time and the execution status is fed back through the fieldbus network, which can ensure the coordinated operation of each device and realize the unified control of the entire ship composite cold source system.

[0122] The weight calculation process of the analytic hierarchy process for multi-parameter fusion decision units includes: first, establishing a judgment matrix of the importance of control parameters, and the formula for calculating the elements of the judgment matrix is ​​as follows: ; in, For the control parameter importance judgment matrix, Indicates the first The control parameter is relative to the first The importance ratio of each control parameter, when hour ,when hour .

[0123] The weight vector is calculated using the eigenvalue method: ; in, For the weight vector, To correct the weighting of the control parameters for multi-source cascaded coupling cooling, Weights for multi-cold source collaborative operation strategy. Weights for low-noise operation control parameters. It is the largest eigenvalue.

[0124] The formula for calculating the consistency test index is: ; in, This serves as a consistency indicator. The weighting calculation method ensures the scientific and rational allocation of weights for each control parameter.

[0125] The parameter fusion process employs a weighted linear combination method, and the formula for calculating the fusion control parameters is as follows: ; in, This is the fused integrated control parameter vector. To correct the control parameter vector of multi-cold source cascade coupling cooling, This is a parameter vector for a multi-cold source collaborative operation strategy. This is a vector of control parameters for low-noise operation.

[0126] The formula for constructing the system control strategy matrix is: ; in, For the system control strategy matrix, For the first Integrated control parameters for each device For the first Execution time of each device For the first The identification code of each device. This represents the total number of controlled devices. This fusion method enables the organic integration of multi-objective control parameters.

[0127] The instruction generation process of the system operation instruction issuing unit is as follows: First, the system control strategy matrix is ​​parsed, and the formula for generating equipment control instructions is: ; in, For the first Specific control commands for each device. This is a parameter mapping function.

[0128] For seawater cooling systems, control commands include seawater pump speed control: ; in, This refers to the rotational speed of the seawater circulation pump. Rated speed, For the target cooling capacity, This is the rated cooling capacity.

[0129] For a cold storage cold source system, the valve opening control command is: ; in, This refers to the total valve opening. This refers to the opening degree of the upper inlet and outlet water valves. For demand opening, This refers to the opening degree of the lower inlet and outlet water valves. This represents the opening ratio of the upper and lower valves.

[0130] For Freon refrigeration units, the compressor frequency control command is: ; in, For the compressor operating frequency, As the reference frequency, This is the frequency adjustment coefficient. This is due to deviation in cooling capacity.

[0131] The communication protocol for issuing commands uses the Modbus RTU protocol, and the command data frame format is as follows: ; in, For instruction data frames, For device address, For function codes, To control the data, This is the verification code.

[0132] The instruction execution status feedback adopts a polling mechanism, and the polling cycle is calculated using the following formula: ; in, For the polling cycle, For single-frame data transmission time, For baud rate, This refers to data processing time. This communication scheme ensures reliable transmission of control commands and real-time response.

[0133] Through the integrated control decision module, this embodiment establishes a complete multi-parameter fusion decision and command issuance control system. It not only realizes the optimized allocation of multi-objective control parameter weights based on the analytic hierarchy process, but also achieves coordinated and unified control of various cold source devices through a distributed command issuance mechanism. This effectively solves the technical problem of poor coordination and control effect of various subsystems caused by the lack of a unified decision-making mechanism in traditional ship refrigeration systems. It significantly improves the overall control accuracy and operating efficiency of ship composite cold source systems, and provides important technical support and implementation methods for the integrated control and management of ship refrigeration systems.

[0134] 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 low-noise, high-efficiency marine composite cold source system, characterized in that, The system includes: The data acquisition module is used to collect basic operational data, including ship attitude angle data, cabin cooling load change data, Freon refrigeration unit operating parameters, and cabin acoustic environment parameters. The swaying condition compensation module is used to compensate for and coordinate the swaying condition of the seawater cold source and the cold storage cold source using the ship attitude angle data, so as to obtain the corrected multi-cold source cascade coupling cooling control parameters. The operating condition identification and switching module is used to identify the ship's operating condition mode using the cabin cooling load change data, and to adaptively switch the operating parameters of the Freon refrigeration unit according to the ship's operating condition mode to obtain a multi-cold source collaborative operation strategy. The adaptive noise reduction optimization module is used to analyze the cabin noise characteristics using the cabin acoustic environment parameters, and to perform adaptive vibration reduction and noise reduction optimization on the refrigeration equipment based on the cabin noise characteristics to obtain low-noise operation control parameters. The integrated control decision module is used to perform integrated control based on the modified multi-cold source cascade coupling cooling control parameters, the multi-cold source collaborative operation strategy, and the low-noise operation control parameters, and generate operating instructions for the ship's composite cold source system.

2. The low-noise, high-efficiency marine composite cold source system as described in claim 1, characterized in that, The swaying condition compensation module includes: The seawater intake condition adaptive unit is used to calculate the actual position offset of the seawater intake based on the ship attitude angle data, and to correct the cooling capacity parameters of the seawater cold source based on the actual position offset. The stratification state control unit of the cold storage tank is used to analyze the stratification state of the phase change material in the cold storage tank based on the ship attitude angle data, and adjust the cold storage cold source release control parameters according to the stratification state. The power load coordination and control unit is used to acquire the load status data of the ship's power system and coordinate the start-up and shutdown timing parameters of the Freon refrigeration unit based on the power system load status data and the refrigeration demand.

3. The low-noise, high-efficiency marine composite cold source system as described in claim 2, characterized in that, The seawater intake condition adaptive unit is used for: Using the roll and pitch angles in the ship attitude angle data, the water depth offset and angle offset of the seawater intake relative to the design position are calculated. Measure the actual seawater flow velocity at the seawater intake point, and calculate the water intake efficiency correction coefficient based on the actual seawater flow velocity, the water depth offset, and the angle offset. The theoretical cooling capacity value of the seawater cold source is adjusted according to the water intake efficiency correction coefficient to obtain the cooling capacity parameter of the seawater cold source.

4. The low-noise, high-efficiency marine composite cold source system as described in claim 2, characterized in that, The stratification status control unit of the cold storage tank is used for: Calculate the tilt angle of the liquid level in the cold storage tank based on the roll angle in the ship attitude angle data; The temperature status of the phase change material in the upper, middle and lower layers of the cold storage tank is monitored respectively. Based on the temperature status of the phase change material and the liquid level tilt angle, the effective cold storage volume of each layer of phase change material is analyzed. Based on the difference in effective cold storage volume, the opening ratio of the upper and lower inlet and outlet valves of the cold storage tank is controlled to obtain the cold source release control parameters.

5. The low-noise, high-efficiency marine composite cold source system as described in claim 2, characterized in that, The power load coordination and control unit is used for: Real-time monitoring of the current power load and reserve power capacity of the ship's power system, and acquisition of the power system load status data; Analyze the power demand trends of ship operation equipment to identify peak and off-peak electricity load periods; The start-up time of the Freon refrigeration unit is delayed during the peak power load period, and the start-up time of the Freon refrigeration unit is advanced during the off-peak power load period, thereby generating the start-up and shutdown sequence parameters of the Freon refrigeration unit.

6. The low-noise, high-efficiency marine composite cold source system as described in claim 1, characterized in that, The operating condition identification and switching module includes: The operating condition mode identification unit is used to perform operating condition mode analysis based on the cabin cooling load change data and seawater temperature threshold, identify low-temperature sea area energy-saving mode, medium-temperature sea area coupling mode, high-temperature sea area full-load mode, berthing energy storage mode and fault redundancy mode, and generate ship operating condition mode identification results. The Freon unit switching control unit is used to perform graded switching control of the operating parameters of the Freon refrigeration unit according to the ship operating condition mode recognition results, adjust the compressor start-stop status and operating frequency, and generate a multi-cold source collaborative operation strategy.

7. The low-noise, high-efficiency marine composite cold source system as described in claim 1, characterized in that, The adaptive noise reduction optimization module includes: The cabin acoustic adaptive control unit is used to analyze the cabin reverberation time and sound absorption coefficient based on the cabin acoustic environment parameters, and adjust the damping parameters of the refrigeration equipment vibration reduction base according to the cabin acoustic characteristics; The predictive silent switching control unit is used to acquire work plan data of ship operation equipment and switch the cooling equipment to silent operation mode in advance according to the operating period of noise-sensitive equipment; The resonance avoidance frequency control unit is used to monitor the ship's load status data, identify the inherent frequency changes of the refrigeration piping system based on the load status, and adjust the operating frequency of the circulating pump to avoid the resonance frequency band.

8. The low-noise, high-efficiency marine composite cold source system as described in claim 7, characterized in that, The cabin acoustic adaptive control unit is used for: The reverberation time and wall sound absorption coefficient of the refrigeration equipment installation compartment are measured using the acoustic environmental parameters of the compartment. Analyze the main noise-reflecting surfaces and sound wave propagation paths of the cabin to identify the noise amplification frequency band of the cabin. By adjusting the rubber damping stiffness and spring buffer damping coefficient of the Freon refrigeration compressor vibration damping base according to the noise amplification frequency band, the adaptive vibration reduction parameters of the cabin can be obtained.

9. The low-noise, high-efficiency marine composite cold source system as described in claim 7, characterized in that, The predictive mute switching control unit is used for: Connect to the ship operation management system to obtain the working schedule of sonar equipment and precision measuring instruments, and identify noise-sensitive periods; Before the start of the noise-sensitive period, the Freon refrigeration unit is shut down in advance and switched to a combined cooling mode of seawater cold source and cold storage cold source. By pre-storing cold energy through a cold storage source, the cooling effect during silent operation is ensured, and predictive silent control parameters are obtained.

10. The low-noise, high-efficiency marine composite cold source system as described in claim 7, characterized in that, The resonance avoidance frequency control unit is used for: Monitor ship draft data and determine the ship's current load status based on changes in draft; The real-time vibration frequency of the refrigeration cycle pipeline is measured using a pipeline vibration sensor, and the current natural frequency of the pipeline system is analyzed in conjunction with the load condition. Adjusting the variable frequency operation frequency of the seawater circulation pump and the cold storage circulation pump according to the current natural frequency of the pipeline system ensures that the operating frequency of the pump equipment avoids the dangerous range of resonance of the natural frequency of the pipeline, thus obtaining resonance avoidance operating parameters.

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