Adaptive cooling regulation system and method

By designing an adaptive cooling adjustment system in a ship turbine, real-time acquisition and analysis of the turbine operating and environmental parameters, and generating and adjusting cooling strategies, the problems of poor cooling accuracy and low energy efficiency in the existing technology are solved, and a more efficient and reliable cooling effect is achieved.

CN119749822APending Publication Date: 2025-04-04SANDIANSHUI NEW ENERGY TECH (ANHUI) CO LTD
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Patent Information

Application Number
CN202510183191.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The existing marine turbine cooling and regulation system lacks the ability to respond to changes in the real-time working state of the turbine, resulting in poor cooling accuracy and low energy efficiency, which affects the overall safety and reliability of the turbine.

Method used

An adaptive cooling adjustment system is designed to obtain the operating parameters and environmental parameters of the ship's turbine in real time through the data acquisition unit. The control unit uses the cooling strategy matching model to generate a cooling strategy, and adjusts the cooling strategy according to the performance parameters of the turbine to achieve accurate cooling adjustment.

Benefits of technology

It significantly improves the accuracy of the cooling regulation system, avoids energy waste caused by excessive cooling, extends the service life of the equipment, and improves overall energy efficiency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present application discloses an adaptive cooling regulation system and method, which is applied to the field of ship cooling technology to solve the problem of poor cooling accuracy and low energy efficiency of ship turbine cooling regulation system. Specifically, it is as follows: obtaining the real-time operating parameters, performance parameters and environmental parameters of the ship turbine; inputting the real-time operating parameters and environmental parameters into the cooling strategy matching model to obtain a first cooling strategy; adjusting the first cooling strategy according to the performance parameters to obtain a second cooling strategy; generating a cooling regulation instruction according to the second cooling strategy and sending it to the cooling device. In this way, a more suitable second cooling strategy is generated according to the real-time operating parameters, performance parameters and environmental parameters of the ship turbine, so as to improve the cooling accuracy of the cooling regulation system. Through this adaptive cooling strategy adjustment method, suitable cooling capacity can be provided to ensure the normal operation of the turbine, improve overall energy efficiency and reduce operating costs.
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Description

Technical Field

[0001] The present application relates to the field of ship cooling technology, and in particular to an adaptive cooling regulation system and method. Background Art

[0002] With the continuous development of the global shipping industry, the performance of ship turbines, as the core component of the ship power system, directly affects the safety and economy of the ship. Traditional ship turbine cooling and regulation systems usually adopt a fixed cooling strategy, that is, regardless of the actual working state of the ship turbine, the cooling equipment is controlled according to the preset cooling strategy for cooling.

[0003] However, in actual operation, the working state of the ship's turbine will change according to the navigation environment and mission requirements. For example, when operating at low load, the heat generated by the ship's turbine is relatively small. If high cooling intensity is still used at this time, it will lead to unnecessary energy waste; on the contrary, under high load or extreme environment (such as high temperature and high humidity), the heat generated by the ship's turbine increases significantly. If the cooling efficiency cannot be improved in time, insufficient cooling may occur, resulting in excessively high temperature of the ship's turbine, affecting its normal operation and even posing safety hazards.

[0004] Therefore, the existing ship turbine cooling and regulation system lacks the ability to respond to changes in the real-time working status of the turbine, resulting in poor cooling accuracy and low energy efficiency, which in turn affects the overall safety and reliability of the turbine. Summary of the invention

[0005] The purpose of the embodiment of the present application is to provide an adaptive cooling regulation system and method to solve the technical problems of poor cooling accuracy and low energy efficiency of ship turbine cooling regulation systems in the prior art. The technical solution provided by the present application is as follows:

[0006] On the one hand, the present application provides an adaptive cooling regulation system, comprising: a ship engine, a data acquisition unit, a control unit and a cooling device; the control unit is connected to the data acquisition unit and the cooling device respectively; the data acquisition unit is arranged at a detection position of the ship engine; the cooling device is arranged in an engine room of the ship engine;

[0007] A data acquisition unit is used to collect the current operating parameters, performance parameters and environmental parameters of the ship engine, and send the current operating parameters, performance parameters and environmental parameters of the ship engine to the control unit; wherein the operating parameters include temperature, speed and load power data;

[0008] A control unit is used to input the current operating parameters and environmental parameters of the ship engine into the cooling strategy matching model to obtain a first cooling strategy output by the cooling strategy matching model; wherein the first cooling strategy includes a first cooling method and a first control parameter of the cooling device; according to the current performance parameters of the ship engine, the first control parameter in the first cooling strategy is adjusted to obtain a second control parameter; a second cooling strategy is generated based on the first cooling method and the second control parameter; a cooling adjustment instruction is generated according to the second cooling strategy, and the cooling adjustment instruction is sent to the cooling device;

[0009] Cooling equipment is used to cool the ship's engine according to cooling adjustment instructions.

[0010] Optionally, when adjusting the first control parameter in the first cooling strategy according to the current performance parameter of the ship engine to obtain the second control parameter, the control unit is specifically used to:

[0011] Evaluate the aging degree of the ship's engine based on the current performance parameters of the ship's engine to obtain a current aging degree score of the ship's engine;

[0012] Based on the correspondence between the adjustment factor and the aging degree score interval, determining the adjustment factor corresponding to the current aging degree score as the current adjustment factor;

[0013] The product of the current adjustment factor and the first control parameter is used as the second control parameter.

[0014] Optionally, the performance parameter includes: at least one of usage time, output power range, and energy efficiency;

[0015] When evaluating the aging degree of the ship engine based on the current performance parameters of the ship engine to obtain the current aging degree score of the ship engine, the control unit is specifically used to:

[0016] According to the preset performance scoring standard, each performance parameter is scored to obtain the scoring result of each performance parameter;

[0017] The scoring results of each performance parameter are weighted and summed to obtain the current aging degree score of the ship's engine.

[0018] Optionally, the adaptive cooling adjustment system further includes: an alarm unit; the alarm unit is connected to the control unit;

[0019] The control unit is further used to obtain a first temperature of the ship engine; wherein the first temperature is the temperature of the ship engine collected at the first time after the ship engine is cooled; when the first temperature is not within a preset working temperature range, a first temperature difference between the first temperature and the midpoint temperature of the working temperature range is determined; when the first temperature difference is greater than a temperature deviation threshold, a refrigeration abnormality instruction and an auxiliary equipment emergency instruction are generated, and the refrigeration abnormality instruction is sent to the alarm unit, and the auxiliary equipment emergency instruction is sent to the ship engine;

[0020] An alarm unit, used for executing a refrigeration abnormality alarm after receiving a refrigeration abnormality instruction;

[0021] The ship's engine is used to shut down the auxiliary equipment in the ship's engine after receiving the emergency command of the auxiliary equipment.

[0022] Optionally, when the first temperature is not within the preset operating temperature interval, after determining a first temperature difference between the first temperature and a midpoint temperature of the operating temperature interval, the control unit is further configured to:

[0023] When the first temperature difference is less than the temperature deviation threshold, a second temperature of the ship engine is acquired; wherein the second temperature is the temperature of the ship engine acquired at a second time after the ship engine is cooled, and the second time is later than the first time;

[0024] When the second temperature is not within the preset operating temperature interval, determining a second temperature difference between the second temperature and the midpoint temperature of the interval, and determining a compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy;

[0025] A compensating cooling instruction is generated according to the compensating cooling strategy, and the compensating cooling instruction is sent to the cooling device.

[0026] Optionally, when determining the compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy, the control unit is specifically configured to:

[0027] When the second temperature is higher than the upper limit of the working temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy are adjusted in a direction of enhancing the refrigeration strength of the cooling device according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensation cooling strategy;

[0028] When the second temperature is lower than the lower limit of the working temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy are adjusted in the direction of weakening the refrigeration intensity of the cooling device according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensatory cooling strategy.

[0029] Optionally, the control unit is further configured to:

[0030] Acquire each training sample data; wherein each training sample data includes historical operating parameters, historical environmental parameters and standard cooling strategy of the ship engine;

[0031] Iteratively perform machine learning operations on the initial cooling strategy matching model based on each training sample data until it is determined that the iteration termination condition is met, and determine the cooling strategy matching model based on each model parameter of the initial cooling strategy matching model updated when the machine learning operation was last performed;

[0032] Among them, the machine learning operation includes: selecting target training sample data from various training sample data; inputting the historical operating parameters and historical environmental parameters contained in the target training sample data into the initial cooling strategy matching model to obtain the matching cooling strategy output by the initial cooling strategy matching model; based on the matching cooling strategy output by the initial cooling strategy matching model and the standard cooling strategy contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating the model parameters of the initial cooling strategy matching model.

[0033] Optionally, the data acquisition unit includes: a first sensor subunit, a data interaction subunit and a second sensor subunit; the first sensor subunit, the data interaction subunit and the second sensor subunit are respectively connected to the control unit;

[0034] The first sensor subunit is used to respectively collect the temperature, rotation speed and load power data of the ship engine in real time, and send the temperature, rotation speed and load power data of the ship engine to the control unit;

[0035] A data interaction subunit, used for receiving external input performance parameters and sending the performance parameters to the control unit;

[0036] The second sensor subunit is used to collect environmental parameters and send the environmental parameters to the control unit.

[0037] Optionally, the cooling device includes: an air cooling device and a central cooling device; the air cooling device and the central cooling device are respectively connected to the control unit; the air cooling device and the central cooling device are respectively arranged in the engine room of the ship engine;

[0038] The air cooling device is used to cool the ship's turbine using air as a cooling medium under the control of the control unit;

[0039] The central cooling device is used to cool the ship's turbine using fresh water and / or sea water as a cooling medium under the control of a control unit.

[0040] On the other hand, the present application provides an adaptive cooling adjustment method, which is applied to a control unit in the adaptive cooling adjustment system as described above, and the adaptive cooling adjustment method includes:

[0041] Obtain the current operating parameters, performance parameters and environmental parameters of the ship engine; wherein the operating parameters include temperature, speed and load power data;

[0042] Inputting the current operating parameters and environmental parameters of the ship engine into the cooling strategy matching model to obtain a first cooling strategy output by the cooling strategy matching model; wherein the first cooling strategy includes a first cooling mode and a first control parameter of the cooling device;

[0043] According to the current performance parameters of the ship engine, adjusting the first control parameter in the first cooling strategy to obtain the second control parameter;

[0044] generating a second cooling strategy based on the first cooling mode and the second control parameter;

[0045] A cooling adjustment instruction is generated according to the second cooling strategy, and the cooling adjustment instruction is sent to the cooling device, so that the cooling device cools the ship engine according to the cooling adjustment instruction.

[0046] The beneficial effects of this application are as follows:

[0047] In this application, the operating parameters such as temperature, speed, load power, and environmental parameters of the ship's turbine are obtained in real time through the data acquisition unit, providing a comprehensive and accurate information basis for the control unit. The control unit adopts a cooling strategy matching model to quickly generate a first cooling strategy based on these current operating parameters and environmental parameters. According to the current performance parameters of the ship's turbine, the control parameters in the first cooling strategy are intelligently adjusted to generate a more accurate second cooling strategy. In this way, the cooling device can accurately cool the ship's turbine according to the cooling adjustment instructions generated by the second cooling strategy, significantly improving the accuracy of the cooling adjustment system. Moreover, this adaptive cooling strategy adjustment method can accurately adjust the cooling according to the operating parameters, performance parameters, and environmental parameters of the ship's turbine, effectively avoiding energy waste caused by overcooling, and further improving the overall energy efficiency of the system. In addition, in this way, the problem of unstable operation caused by overheating or overcooling of the turbine can also be avoided, extending the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1A first schematic diagram of a framework of an adaptive cooling and regulating system provided in an embodiment of the present application;

[0050] Figure 2 A second schematic diagram of the framework of the adaptive cooling regulation system provided in an embodiment of the present application;

[0051] Figure 3 A schematic diagram of an overview of the adaptive cooling adjustment method provided in an embodiment of the present application;

[0052] Figure 4 A schematic diagram of an overview of a method for determining a second control parameter provided in an embodiment of the present application;

[0053] Figure 5 A schematic diagram of the general flow of a ship turbine cooling compensation adjustment method provided in an embodiment of the present application;

[0054] Figure 6 A schematic diagram of an overview of the cooling strategy matching model training method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and beneficial effects of this application clearer, the technical solution in the embodiment of this application will be clearly and completely described below in conjunction with the drawings in the embodiment of this application. Obviously, the described embodiment is only a part of the embodiment of this application, not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] In order to facilitate those skilled in the art to better understand the present application, the technical terms involved in the present application are briefly introduced below.

[0057] Ship engine refers to the ship's power plant and its auxiliary equipment. It is the general term for all machinery, equipment and systems installed on the ship to meet the needs of navigation, various operations, personnel life, and the safety of personnel and property. Among them, auxiliary equipment is various mechanical equipment used to assist the operation of the power plant.

[0058] It should be noted that the terms "first", "second", etc. mentioned in this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such terms can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein.

[0059] After introducing the technical terms involved in the present application, the technical solutions provided by the embodiments of the present application are described in detail.

[0060] First, the adaptive cooling adjustment system provided in the embodiment of the present application is described in detail. Figure 1 As shown, the adaptive cooling adjustment system provided by the embodiment of the present application at least includes: a ship engine 100, a data acquisition unit 110, a control unit 120 and a cooling device 130; the control unit 120 is respectively connected to the data acquisition unit 110 and the cooling device 130; the data acquisition unit 110 is arranged at the detection position of the ship engine 100; the cooling device 130 is arranged in the engine room of the ship engine 100;

[0061] The data acquisition unit 110 is used to collect the current operating parameters, performance parameters and environmental parameters of the ship engine 100, and send the current operating parameters, performance parameters and environmental parameters of the ship engine 100 to the control unit 120; wherein the operating parameters include temperature, rotation speed and load power data;

[0062] The control unit 120 is used to input the current operating parameters and environmental parameters of the ship engine 100 into the cooling strategy matching model to obtain a first cooling strategy output by the cooling strategy matching model; wherein the first cooling strategy includes a first cooling method and a first control parameter of the cooling device 130; according to the current performance parameters of the ship engine 100, the first control parameter in the first cooling strategy is adjusted to obtain a second control parameter; based on the first cooling method and the second control parameter, a second cooling strategy is generated; according to the second cooling strategy, a cooling adjustment instruction is generated, and the cooling adjustment instruction is sent to the cooling device 130;

[0063] The cooling device 130 is used to cool the ship engine 100 according to the cooling adjustment instruction.

[0064] In practical applications, the detection position is a position near a key component on the ship engine 100, which can reflect the operating status of the ship engine 100, such as changes in temperature, rotation speed and load power parameters. The temperature detection position is on a key thermal component of the ship engine 100, wherein the key thermal component is at least one of the engine cylinder block, bearings and turbine. The rotation speed detection position is on the rotating shaft of the ship engine 100. The load power parameter detection position is the power output end of the ship engine 100. The detection position also includes the outer surface of the ship engine 100 to reflect environmental parameters, wherein the environmental parameters include air temperature and humidity and sea water temperature.

[0065] In a possible implementation manner, when adjusting the first control parameter in the first cooling strategy according to the current performance parameter of the ship turbine 100 to obtain the second control parameter, the control unit 120 is specifically used to:

[0066] Evaluate the aging degree of the ship engine 100 based on the current performance parameters of the ship engine 100 to obtain a current aging degree score of the ship engine 100;

[0067] Based on the correspondence between the adjustment factor and the adjustment aging degree score interval, determining the adjustment factor corresponding to the current aging degree score as the current adjustment factor;

[0068] The product of the current adjustment factor and the first control parameter is used as the second control parameter.

[0069] In a possible implementation, the performance parameter includes: at least one of usage time, output power range, and energy efficiency;

[0070] When evaluating the aging degree of the ship engine 100 based on the performance parameters of the ship engine 100 to obtain the current aging degree score of the ship engine 100, the control unit 120 is specifically used to:

[0071] According to the preset performance scoring standard, each performance parameter is scored to obtain the scoring result of each performance parameter;

[0072] The score results of each performance parameter are weighted and summed to obtain the current aging degree score of the ship engine 100.

[0073] In one possible implementation, see Figure 2 As shown, the adaptive cooling adjustment system further includes: an alarm unit 140; the alarm unit 140 is connected to the control unit 120;

[0074] The control unit 120 is further used to obtain a first temperature of the ship engine 100; wherein the first temperature is the temperature of the ship engine collected at the first time after the ship engine is cooled; when the first temperature is not within a preset working temperature range, a first temperature difference between the first temperature and the midpoint temperature of the working temperature range is determined; when the first temperature difference is greater than a temperature deviation threshold, a refrigeration abnormality instruction and an auxiliary equipment emergency instruction are generated, and the refrigeration abnormality instruction is sent to the alarm unit 140, and the auxiliary equipment emergency instruction is sent to the ship engine 100;

[0075] An alarm unit 140 is used to execute a refrigeration abnormality alarm after receiving a refrigeration abnormality instruction;

[0076] The ship engine 100 is used to shut down the auxiliary equipment in the ship engine 100 after receiving the emergency command of the auxiliary equipment.

[0077] In a possible implementation, when the first temperature is not within the preset operating temperature interval, after determining a first temperature difference between the first temperature and a midpoint temperature of the operating temperature interval, the control unit 120 is further configured to:

[0078] When the first temperature difference is less than the temperature deviation threshold, a second temperature of the ship engine 100 is obtained; wherein the second temperature is the temperature of the ship engine collected at a second time after the ship engine is cooled, and the second time is later than the first time;

[0079] When the second temperature is not within the preset operating temperature interval, determining a second temperature difference between the second temperature and the midpoint temperature of the interval, and determining a compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy;

[0080] A compensating cooling instruction is generated according to the compensating cooling strategy, and the compensating cooling instruction is sent to the cooling device 130 .

[0081] In a possible implementation manner, when determining the compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy, the control unit 120 is specifically configured to:

[0082] When the second temperature is higher than the upper limit of the working temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy is adjusted in a direction of enhancing the refrigeration intensity of the cooling device 130 according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensation cooling strategy;

[0083] When the second temperature is lower than the lower limit of the operating temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy are adjusted in the direction of weakening the cooling intensity of the cooling device 130 according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensatory cooling strategy.

[0084] In a possible implementation manner, the control unit 120 is further configured to:

[0085] Acquire various training sample data; wherein each training sample data includes historical operating parameters, environmental parameters and standard cooling strategies of the ship engine 100;

[0086] Iteratively perform machine learning operations on the initial cooling strategy matching model based on each training sample data until it is determined that the iteration termination condition is met, and determine the cooling strategy matching model based on each model parameter of the initial cooling strategy matching model updated when the machine learning operation was last performed;

[0087] Among them, the machine learning operation includes: selecting target training sample data from various training sample data; inputting the historical operating parameters and historical environmental parameters contained in the target training sample data into the initial cooling strategy matching model to obtain the matching cooling strategy output by the initial cooling strategy matching model; based on the matching cooling strategy output by the initial cooling strategy matching model and the standard cooling strategy contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating the model parameters of the initial cooling strategy matching model.

[0088] In one possible implementation, see Figure 2 As shown, the data acquisition unit 110 includes: a first sensor subunit 111, a data interaction subunit 112 and a second sensor subunit 113; the first sensor subunit 111, the data interaction subunit 112 and the second sensor subunit 113 are respectively connected to the control unit 120;

[0089] The first sensor subunit 111 is used to respectively collect the temperature, rotation speed and load power data of the ship engine 100 in real time, and send the temperature, rotation speed and load power data of the ship engine 100 to the control unit 120;

[0090] The data interaction subunit 112 is used to receive external input performance parameters and send the performance parameters to the control unit 120;

[0091] The second sensor subunit 113 is used to collect environmental parameters and send the environmental parameters to the control unit 120 .

[0092] In practical applications, the first sensor unit includes a first temperature sensor, a speed sensor, a voltage sensor and a current sensor; the first temperature sensor is arranged on at least one key component of the engine cylinder, the bearing and the turbine to collect the temperature of the ship engine 100. The speed sensor is arranged on the rotating shaft of the ship engine 100 to collect the speed of the ship engine 100. The pressure sensor and the current sensor are arranged at the power output end of the ship engine 100 to collect the output voltage and output current of the ship engine 100 as the load power data of the ship engine 100. The second sensor unit includes a second temperature sensor and a temperature and humidity sensor; the second temperature sensor is arranged on the lower outer surface of the ship engine 100 to detect the seawater temperature; the temperature and humidity sensor is arranged on the upper outer surface of the ship engine 100 to detect the air temperature and humidity. The data interaction subunit 112 is arranged inside the ship engine 100 and is connected to the external device for communication, and receives the performance parameters of the ship engine 100 input from the outside.

[0093] In one possible implementation, see Figure 2 As shown, the cooling device 130 includes: an air cooling device 131 and a central cooling device 132; the air cooling device 131 and the central cooling device 132 are respectively connected to the control unit 120; the air cooling device 131 and the central cooling device 132 are respectively arranged in the engine room of the ship engine 100;

[0094] The air cooling device 131 is used to cool the ship engine 100 by using air as a cooling medium under the control of the control unit 120;

[0095] The central cooling device 132 is used to cool the ship engine 100 using fresh water and / or sea water as a cooling medium under the control of the control unit 120 .

[0096] In actual application, the air cooling device 131 uses air as a cooling medium to cool the ship's turbine 100. The air cooling device 131 includes components such as a heat exchanger, an air duct, and a fan. The heat generated by the turbine is taken away and dissipated to the external environment through the circulating cooling medium. The central cooling device 132 uses fresh water and / or seawater as a cooling medium to cool the ship's turbine 100. The central cooling device 132 includes components such as a heat exchanger, a pipe, and a pump. The heat generated by the turbine is taken away and dissipated to the external environment through the circulating cooling medium.

[0097] Based on the same inventive concept, the embodiment of the present application further provides an adaptive cooling adjustment method, which is applied to the control unit in the above adaptive cooling adjustment system, see Figure 3 As shown, the general process of the adaptive cooling adjustment method provided in the embodiment of the present application is as follows:

[0098] Step 301: Acquire the current operating parameters, performance parameters and environmental parameters of the ship engine; wherein the operating parameters include temperature, rotation speed and load power data.

[0099] In practical applications, the operating parameters of the ship's turbine include the temperature, speed and load power data of the ship's turbine. The operating parameters may also include the temperature of the cooling medium; wherein the load power data refers to the voltage and current of the load. The real-time operating parameters of the ship's turbine can directly reflect the operating status and workload of the turbine. The performance parameters of the ship's turbine include at least one of the service life, output power range and energy efficiency, and the performance parameters of the ship's turbine can be used to evaluate the aging degree of the ship's turbine. The environmental parameters of the ship's turbine include air temperature and humidity, seawater temperature and navigation area, wherein the air temperature and humidity directly affect the efficiency of the turbine cooling equipment. In a high temperature and high humidity environment, the heat conductivity of the air is reduced, which makes the heat dissipation effect of the cooling equipment worse, which may cause the ship's turbine to overheat and affect its performance and life. The high and low seawater temperature directly affects the cooling effect of the cooling equipment. When the seawater temperature is too high, the heat dissipation capacity of the cooling equipment decreases, which may cause the turbine components to overheat. Different navigation areas may have different water temperatures and water quality conditions corresponding to different sea areas.

[0100] Step 302: input the current operating parameters and environmental parameters of the ship engine into the cooling strategy matching model to obtain a first cooling strategy output by the cooling strategy matching model; wherein the first cooling strategy includes a first cooling method and a first control parameter of the cooling device.

[0101] In practical applications, the pre-trained cooling strategy matching model can output the corresponding first cooling strategy according to the input operating parameters and environmental parameters of the ship engine. The cooling strategy matching model can be a neural network model. The first cooling strategy is a preliminary cooling strategy determined by the cooling strategy matching model according to the current engine state and environmental conditions. The first cooling strategy includes a first cooling method and a first control parameter of the cooling device. The first cooling method is at least one of the cooling methods of the cooling device, and the first control parameter is a control parameter corresponding to the cooling device executing the first cooling method. The cooling methods that can be implemented by the cooling device may include air cooling, fresh water cooling and seawater cooling. The control parameters corresponding to air cooling include fan speed and damper opening. The control parameters corresponding to fresh water cooling include fresh water flow, fresh water flow rate, fresh water temperature and fresh water valve opening. The control parameters corresponding to seawater cooling include seawater flow, seawater flow rate, seawater temperature and seawater valve opening.

[0102] Step 303: According to the current performance parameters of the ship engine, the first control parameter in the first cooling strategy is adjusted to obtain the second control parameter.

[0103] In practical applications, the second control parameter is a control parameter obtained by adjusting the first control parameter based on the performance of the ship turbine. The aging degree of the ship turbine can be evaluated according to the current performance parameter of the ship turbine, and the control parameter of at least one cooling method in the first control parameter is adjusted according to the aging degree of the ship turbine to obtain the second control parameter.

[0104] For specific implementation, see Figure 4 As shown, according to the current performance parameters of the ship engine, the first control parameter in the first cooling strategy is adjusted to obtain the second control parameter, which can be achieved by but not limited to the following methods:

[0105] Step 401: Evaluate the aging degree of the ship's engine based on the current performance parameters of the ship's engine to obtain a current aging degree score of the ship's engine.

[0106] In practical applications, based on the current performance parameters of the ship engine, the weighted average method or fuzzy comprehensive evaluation method is used to quantify the aging degree of the ship engine to obtain the current aging degree score of the ship engine. The score range can be set from 0 to , where 0 represents a brand new state and 0 represents completely aged.

[0107] Specifically, the aging degree of the ship engine is evaluated based on the current performance parameters of the ship engine, and the current aging degree score of the ship engine is obtained by, but not limited to, the following methods:

[0108] First, each performance parameter is scored according to a preset performance scoring standard to obtain a scoring result for each performance parameter.

[0109] Then, the scoring results of each performance parameter are weighted and summed to obtain the current aging degree score of the ship's engine.

[0110] In practical applications, the performance scoring standard is a scoring criterion set for various performance parameters based on the ship engine design specifications, industry standards and actual operating experience. It is used to convert the current values ​​of the ship engine performance parameters into specific scores in order to quantitatively evaluate the engine performance. The performance scoring standard includes the parameter interval of each performance parameter and the score corresponding to the parameter interval. According to the preset performance scoring standard, the current value of each performance parameter is scored. A weight value is assigned to each performance parameter, which reflects its importance in assessing the degree of aging. The score result of each performance parameter is multiplied by its corresponding weight value to obtain a weighted score result. All weighted score results are summed to obtain the current aging degree score of the ship engine.

[0111] Step 402: Based on the correspondence between the adjustment factor and the aging degree score interval, determine the adjustment factor corresponding to the current aging degree score as the current adjustment factor.

[0112] In actual applications, according to the design specifications and operating experience of ship engines, adjustment factors and aging score intervals corresponding to the adjustment factors are preset. For example, when the aging score is in the 0-20 score range, the adjustment factor is 1.0 (indicating no adjustment); when the score is in the 21-40 score range, the adjustment factor is 1.1 (indicating slight adjustment); when the score is in the 41-60 score range, the adjustment factor is 1.2 (indicating moderate adjustment); when the score is in the 61-80 score range, the adjustment factor is 1.3 (indicating large adjustment); when the score is in the 81-score range, the adjustment factor is 1.4 (indicating significant adjustment). According to the current aging score of the ship engine, find the adjustment factor corresponding to the aging score interval in which the current aging score is located.

[0113] Step 403: taking the product of the current adjustment factor and the first control parameter as the second control parameter.

[0114] In actual applications, when the adjustment factor corresponding to the current aging degree score is greater than the adjustment threshold, the control parameters of all cooling methods in the first control parameter are multiplied by the adjustment factor corresponding to the current aging degree score to obtain the second control parameter; when the adjustment factor corresponding to the current aging degree score is less than or equal to the adjustment threshold, the control parameters of air cooling in the first control parameter are multiplied by the adjustment factor corresponding to the current aging degree score to obtain the second control parameter.

[0115] Step 304: Generate a second cooling strategy based on the first cooling method and the second control parameter.

[0116] In practical applications, the second cooling strategy refers to an optimized cooling solution obtained by adjusting the first control parameter in the first cooling strategy after considering the real-time operating parameters, environmental parameters and performance parameters of the ship's turbine. It specifically includes the first cooling method and the second control parameter.

[0117] Step 305: Generate a cooling adjustment instruction according to the second cooling strategy, and send the cooling adjustment instruction to the cooling device, so that the cooling device cools the ship engine according to the cooling adjustment instruction.

[0118] In actual application, a specific cooling adjustment instruction is generated according to the second cooling strategy and sent to the cooling device through the communication interface. After receiving the cooling adjustment instruction, the cooling device adjusts the control parameters according to the instruction requirements to achieve accurate cooling of the ship engine.

[0119] In this way, by obtaining the operating parameters of the ship's turbine in real time, such as temperature, speed, load power, and environmental parameters, a comprehensive and accurate information basis is provided. The cooling strategy matching model is used to quickly generate the first cooling strategy based on these operating parameters and environmental parameters. According to the real-time performance parameters of the ship's turbine, the control parameters in the first cooling strategy are intelligently adjusted to generate a more accurate second cooling strategy. The cooling equipment can accurately cool the ship's turbine according to the cooling adjustment instructions generated by the second cooling strategy, significantly improving the accuracy of the cooling adjustment system. Moreover, this adaptive cooling strategy adjustment method can accurately adjust the cooling according to the real-time operating parameters, performance parameters, and environmental parameters of the ship's turbine, effectively avoiding energy waste caused by overcooling, and further improving the overall energy efficiency of the system. In addition, in this way, the unstable operation caused by overheating or overcooling of the turbine can be avoided, and the service life of the equipment can be extended.

[0120] In one possible implementation, see Figure 5 As shown, after generating a cooling adjustment instruction according to the second cooling strategy and sending the cooling adjustment instruction to the cooling device, it also includes:

[0121] Step 501: Acquire a first temperature of a ship engine; wherein the first temperature is the temperature of the ship engine acquired at the first time after the ship engine is cooled.

[0122] Step 502: When the first temperature is not within a preset operating temperature interval, determine a first temperature difference between the first temperature and a midpoint temperature of the operating temperature interval.

[0123] Among them, the operating temperature range is the optimal operating temperature variation range of the ship engine, and the operating temperature range is determined by the design specifications and operating requirements of the ship engine.

[0124] Step 503: Determine whether the first temperature difference is greater than the temperature deviation threshold; if so, execute step 504; if not, execute steps 505 to 507.

[0125] The temperature deviation threshold is the maximum allowable deviation between the actual turbine temperature and the midpoint temperature of the preset operating temperature range.

[0126] Step 504: Generate a refrigeration abnormality instruction and an auxiliary equipment emergency instruction, and send the refrigeration abnormality instruction to the alarm unit so that the alarm unit executes the refrigeration abnormality alarm, and send the auxiliary equipment emergency instruction to the ship engine so that the ship engine shuts down the auxiliary equipment in the ship engine.

[0127] In actual applications, if the first temperature difference is greater than the temperature deviation threshold, a refrigeration abnormality instruction is generated and sent to the alarm unit. After receiving the refrigeration abnormality instruction, the alarm unit executes the refrigeration abnormality alarm, such as sounding an alarm, displaying an alarm message, etc., to alert the operator. At the same time, an auxiliary equipment emergency instruction is generated and sent to the ship engine. After receiving the auxiliary equipment emergency instruction, the ship engine shuts down the auxiliary equipment in the ship engine, reduces the heat generation in the ship engine, and reduces the burden on the cooling equipment.

[0128] Step 505: Acquire a second temperature of the ship's turbine; wherein the second temperature is the temperature of the ship's turbine collected at a second time after the ship's turbine is cooled, and the second time is later than the first time.

[0129] Step 506: When the second temperature is not within the preset operating temperature range, determine a second temperature difference between the second temperature and the midpoint temperature of the range, and determine a compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy.

[0130] Specifically, when determining the compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy, the following methods may be used but are not limited to:

[0131] When the second temperature is higher than the upper limit of the working temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy are adjusted in a direction of enhancing the refrigeration strength of the cooling device according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensation cooling strategy;

[0132] When the second temperature is lower than the lower limit of the working temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy are adjusted in the direction of weakening the refrigeration intensity of the cooling device according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensatory cooling strategy.

[0133] In practical applications, when the second temperature is higher than the upper limit of the working temperature range, it is necessary to adjust the second cooling strategy to increase the cooling intensity of the cooling equipment. Specifically, if the number of the first cooling methods in the second cooling strategy is multiple, the second control parameter is increased according to the second temperature difference; if the number of the first cooling methods in the second cooling strategy is one, the second cooling strategy can be adjusted by adding different cooling methods and matching the corresponding control parameters and increasing the second control parameter. Correspondingly, when the second temperature is lower than the lower limit of the working temperature range, it is necessary to adjust the second cooling strategy to reduce the cooling intensity of the cooling equipment. Specifically, if the number of the first cooling methods in the second cooling strategy is one, the second control parameter is reduced according to the second temperature difference; if the number of the first cooling methods in the second cooling strategy is multiple, the second cooling strategy can be adjusted by reducing the cooling methods or reducing at least one of the second control parameters.

[0134] Step 507: Generate a compensation cooling instruction according to the compensation cooling strategy, and send the compensation cooling instruction to the cooling device.

[0135] In one possible implementation, see Figure 6 As shown, before obtaining the real-time operating parameters, performance parameters and environmental parameters of the ship engine, it is necessary to pre-train the cooling strategy matching model, which can be specifically adopted but not limited to the following methods:

[0136] Step 601: Acquire various training sample data; wherein each training sample data includes historical operating parameters, historical environmental parameters and standard cooling strategies of a ship engine;

[0137] Step 602: iteratively perform machine learning operations on the initial cooling strategy matching model based on each training sample data until it is determined that the iteration termination condition is met, and determine the cooling strategy matching model based on each model parameter of the initial cooling strategy matching model updated when the machine learning operation was last performed;

[0138] Among them, the machine learning operation includes: selecting target training sample data from various training sample data; inputting the historical operating parameters and historical environmental parameters contained in the target training sample data into the initial cooling strategy matching model to obtain the matching cooling strategy output by the initial cooling strategy matching model; based on the matching cooling strategy output by the initial cooling strategy matching model and the standard cooling strategy contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating the model parameters of the initial cooling strategy matching model.

[0139] In practical applications, in order to achieve reliable and accurate matching of cooling strategies, each training sample data covers the historical operating parameters, historical environmental parameters and standard cooling strategies of ship engines of different models in different environments. Based on the matching cooling strategy output by the initial cooling strategy matching model and the standard cooling strategy contained in the target training sample data, the loss function is used to calculate the current loss value. The loss threshold is pre-set, and the iteration termination condition is that the current loss value is lower than the loss threshold. When the current loss value does not meet the iteration termination condition, the machine learning operation is repeated; when the current loss value meets the iteration termination condition, the machine learning operation is stopped; according to the model parameters of the initial cooling strategy matching model updated when the machine learning operation was last executed, the cooling strategy matching model is generated.

[0140] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0141] In addition, the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0142] Furthermore, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0143] It should be noted that if the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM) random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0144] The above are only embodiments of the present application and are not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the scope of protection of the present application.

Claims

1. An adaptive cooling regulation system, characterized in that: include: A ship engine, a data acquisition unit, a control unit and a cooling device; the control unit is connected to the data acquisition unit and the cooling device respectively; The data acquisition unit is arranged at the detection position of the ship engine; the cooling device is arranged in the engine room of the ship engine; The data acquisition unit is used to collect the current operating parameters, performance parameters and environmental parameters of the ship engine, and send the current operating parameters, performance parameters and environmental parameters of the ship engine to the control unit; wherein the operating parameters include temperature, speed and load power data; The control unit is used to input the current operating parameters and environmental parameters of the ship engine into a cooling strategy matching model to obtain a first cooling strategy output by the cooling strategy matching model; wherein the first cooling strategy includes a first cooling method and a first control parameter of the cooling device; according to the current performance parameters of the ship engine, the first control parameter in the first cooling strategy is adjusted to obtain a second control parameter; a second cooling strategy is generated based on the first cooling method and the second control parameter; a cooling adjustment instruction is generated according to the second cooling strategy, and the cooling adjustment instruction is sent to the cooling device; The cooling device is used to cool the ship engine according to the cooling adjustment instruction.

2. The adaptive cooling regulation system according to claim 1, characterized in that: When adjusting the first control parameter in the first cooling strategy according to the current performance parameter of the ship engine to obtain the second control parameter, the control unit is specifically used to: Evaluating the aging degree of the ship engine based on the current performance parameters of the ship engine to obtain a current aging degree score of the ship engine; Based on the correspondence between the adjustment factor and the aging degree score interval, determining the adjustment factor corresponding to the current aging degree score as the current adjustment factor; The product of the current adjustment factor and the first control parameter is used as the second control parameter.

3. The adaptive cooling regulation system according to claim 2, characterized in that: The performance parameters include: at least one of usage time, output power range and energy efficiency; When evaluating the aging degree of the ship engine based on the current performance parameters of the ship engine to obtain the current aging degree score of the ship engine, the control unit is specifically used to: Scoring each of the performance parameters according to a preset performance scoring standard to obtain a scoring result for each of the performance parameters; The scoring results of each of the performance parameters are weighted and summed to obtain the current aging degree score of the ship engine.

4. The adaptive cooling and regulating system according to any one of claims 1 to 3, characterized in that: Also includes: An alarm unit; the alarm unit is connected to the control unit; The control unit is further used to obtain a first temperature of the ship engine; wherein the first temperature is the temperature of the ship engine collected at the first time after the ship engine is cooled; when the first temperature is not within a preset working temperature range, a first temperature difference between the first temperature and a midpoint temperature of the working temperature range is determined; when the first temperature difference is greater than a temperature deviation threshold, a refrigeration abnormality instruction and an auxiliary equipment emergency instruction are generated, and the refrigeration abnormality instruction is sent to the alarm unit, and the auxiliary equipment emergency instruction is sent to the ship engine; The alarm unit is used to execute a refrigeration abnormality alarm after receiving the refrigeration abnormality instruction; The ship engine is used to shut down the auxiliary equipment in the ship engine after receiving the emergency command of the auxiliary equipment.

5. The adaptive cooling regulation system according to claim 4, characterized in that: When the first temperature is not within a preset operating temperature interval, after determining a first temperature difference between the first temperature and a midpoint temperature of the operating temperature interval, the control unit is further configured to: When the first temperature difference is less than the temperature deviation threshold, acquiring a second temperature of the ship engine; wherein the second temperature is the temperature of the ship engine collected at a second time after the ship engine is cooled, and the second time is later than the first time; When the second temperature is not within a preset operating temperature interval, determining a second temperature difference between the second temperature and a temperature at a midpoint of the interval, and determining a compensatory cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy; A compensating cooling instruction is generated according to the compensating cooling strategy, and the compensating cooling instruction is sent to the cooling device.

6. The adaptive cooling regulation system according to claim 5, characterized in that: When determining the compensating cooling strategy according to the second temperature, the second temperature difference and the second cooling strategy, the control unit is specifically used to: When the second temperature is higher than the upper limit of the working temperature range, adjusting the first cooling mode and / or the second control parameter in the second cooling strategy in a direction of enhancing the refrigeration strength of the cooling device according to the corresponding adjustment amplitude of the second temperature difference, to obtain a compensation cooling strategy; When the second temperature is lower than the lower limit of the operating temperature range, the first cooling mode and / or the second control parameter in the second cooling strategy are adjusted in the direction of weakening the refrigeration intensity of the cooling equipment according to the corresponding adjustment amplitude of the second temperature difference to obtain a compensatory cooling strategy.

7. The adaptive cooling regulation system according to claim 1, characterized in that: The control unit is also used for: Acquire various training sample data; wherein each of the training sample data includes historical operating parameters, historical environmental parameters and standard cooling strategies of the ship engine; Iteratively perform machine learning operations on the initial cooling strategy matching model based on each of the training sample data until it is determined that an iteration termination condition is met, and determine the cooling strategy matching model based on each model parameter of the initial cooling strategy matching model updated when the machine learning operation was last performed; Among them, the machine learning operation includes: selecting target training sample data from each of the training sample data; inputting the historical operating parameters and historical environmental parameters contained in the target training sample data into the initial cooling strategy matching model to obtain the matching cooling strategy output by the initial cooling strategy matching model; based on the matching cooling strategy output by the initial cooling strategy matching model and the standard cooling strategy contained in the target training sample data, using a loss function to determine the current loss value, and based on the current loss value, updating each model parameter of the initial cooling strategy matching model.

8. The adaptive cooling regulation system according to claim 1, characterized in that: The data acquisition unit comprises: a first sensor subunit, a data interaction subunit and a second sensor subunit; the first sensor subunit, the data interaction subunit and the second sensor subunit are respectively connected to the control unit; A first sensor subunit is used to respectively collect the temperature, rotation speed and load power data of the ship engine in real time, and send the temperature, rotation speed and load power data of the ship engine to the control unit; A data interaction subunit, used for receiving external input performance parameters and sending the performance parameters to the control unit; The second sensor subunit is used to collect the environmental parameters and send the environmental parameters to the control unit.

9. The adaptive cooling regulation system according to claim 1, characterized in that: The cooling device comprises: an air cooling device and a central cooling device; the air cooling device and the central cooling device are respectively connected to the control unit; the air cooling device and the central cooling device are respectively arranged in the engine room of the ship engine; The air cooling device is used to cool the ship engine by using air as a cooling medium under the control of the control unit; The central cooling device is used to cool the ship engine using fresh water and / or sea water as a cooling medium under the control of the control unit.

10. An adaptive cooling adjustment method, characterized in that: A control unit applied to an adaptive cooling regulation system according to any one of claims 1 to 9, wherein the adaptive cooling regulation method comprises: Obtaining the current operating parameters, performance parameters and environmental parameters of the ship engine; wherein the operating parameters include temperature, speed and load power data; Inputting the current operating parameters and environmental parameters of the ship engine into a cooling strategy matching model to obtain a first cooling strategy output by the cooling strategy matching model; wherein the first cooling strategy includes a first cooling mode and a first control parameter of a cooling device; According to the current performance parameter of the ship engine, adjusting the first control parameter in the first cooling strategy to obtain a second control parameter; generating a second cooling strategy based on the first cooling mode and the second control parameter; A cooling adjustment instruction is generated according to the second cooling strategy, and the cooling adjustment instruction is sent to the cooling device, so that the cooling device cools the ship engine according to the cooling adjustment instruction.