A method and system for controlling a ship's cooling system

Abstract

This application provides a method and system for regulating a ship's cooling system based on ship similarity. The method includes: establishing a ship database; inputting the ship configuration information of the target ship; evaluating the similarity between the target ship and the reference ships in the database based on the target ship's configuration information and the configuration information of reference ships in the database, and identifying a group of similar ships within the similarity range to the target ship; establishing a cooling system operation strategy for the target ship based on the cooling system operation data of the similar ship group; and providing a reference for regulating the equipment parameters of the target ship's cooling system based on the cooling system operation strategy. The solution of this application can screen similar ships to the target ship, formulate personalized cooling system operation strategies, optimize energy conservation and emission reduction, reduce reliance on real-time temperature data, reduce system modifications, lower costs, and improve universality. Simultaneously, it improves data utilization efficiency, reduces reliance on experts, simplifies operation, and makes the technology easy to implement.

Description

Technical Field

[0001] This application relates to the field of ship cooling source system optimization control, and more specifically, to a ship cooling source system control method and control system. Background Technology

[0002] When a ship sails in different sea areas, the external environment changes drastically, with temperature differences reaching approximately 60°C between different seasons and sea areas. Ship air conditioning equipment is typically selected based on meeting design conditions and operates at constant speed and power, resulting in the air conditioning system operating under partial load conditions most of the time.

[0003] Furthermore, the operating efficiency of fans and water pumps in ship cooling systems is generally only 40% to 50%. Therefore, ship cooling systems have enormous potential for energy conservation in terms of equipment operation. Currently, numerous studies have proposed energy-saving operation schemes for different types of ships. These schemes dynamically adjust equipment operation based on changes in outdoor load, which not only increases cabin comfort during navigation but also saves energy and increases the ship's range. As more ships adopt energy-saving operation schemes, the outdoor meteorological parameters and corresponding air conditioning equipment operation schemes that are adapted to their annual course in time and space have significant application value for similar ships. By directly accessing database parameters of meteorological and operational data accumulated during ship operation, the operation of the target ship's air conditioning system can be adjusted, thereby reducing operational energy consumption.

[0004] Currently, the main control methods for cold source systems include traditional fixed parameter control, expert strategy experience control, intelligent algorithm optimization control, and model-free control. Traditional fixed parameter control, due to the large redundancy of cold source equipment, is prone to significant energy waste and cannot adjust equipment status in real time to cope with complex and ever-changing terminal conditions.

[0005] For example, some air conditioning and ventilation optimization systems in public buildings collect environmental parameters through sensors to establish an air conditioning and ventilation database. Based on equipment information, they build an expert model strategy library and update the expert strategy model library in real time using equipment operating data. Based on the expert strategies, the system automatically adjusts the equipment parameters. This approach can effectively adjust equipment parameters to reduce system energy consumption while maintaining indoor comfort. However, it requires complex data acquisition equipment and communication systems and cannot provide universally applicable expert strategies for complex and ever-changing projects.

[0006] For example, in some energy-saving optimization control systems and methods for central air conditioning chiller systems, an industrial control computer and its connected PLC / BAS field control system are included. Environmental parameters and equipment data are collected through sensors to establish an equipment model library and a system energy consumption model. A global optimization algorithm is then used to optimize the operating parameters of the control equipment in real time. While this approach can optimize control equipment parameters in real time based on indoor and outdoor parameters, minimizing system energy consumption while maintaining a constant cooling capacity, it still requires complex data acquisition equipment and communication systems, as well as a certain amount of prior equipment data to build the model, thus reducing the method's universality.

[0007] For example, some central air conditioning control methods based on multi-agent deep reinforcement learning utilize load demand and outdoor wet-bulb temperature to optimize the number of chiller start-ups and shutdowns, water pump frequency, and fan frequency in the cold source system, effectively reducing equipment failure rate and energy consumption. While this approach effectively reduces water pump and fan energy consumption, the chiller, as a core component of the cold source, cannot be ignored. Furthermore, this method is ineffective for fixed-frequency water pumps without inverters, reducing its universality. Summary of the Invention

[0008] Based on the technical problems mentioned in the background, this application provides a method and system for regulating a ship's cooling source system based on ship similarity. This method can screen similar ships to the target ship, formulate personalized cooling source operation strategies, and optimize energy conservation and emission reduction. The advantages of this method are reduced reliance on real-time temperature data, reduced or avoided system modifications, lower costs, and improved universality. Simultaneously, it improves data utilization efficiency, reduces reliance on experts, simplifies operation, and makes energy-saving technologies easy to implement and widely applicable.

[0009] This application provides a method for regulating a ship's cooling system, including:

[0010] S1. Establish a ship database; the ship database includes the ship configuration information of multiple reference ships and the corresponding cold source operation data of the reference ships;

[0011] S2. Input the target vessel's configuration information;

[0012] S3. Based on the ship configuration information of the target ship and the ship configuration information of the reference ships in the ship database, evaluate the similarity between the target ship and the reference ships in the ship database, and identify the similar ship group that is within the similarity range of the target ship.

[0013] S4. Establish a cold source operation strategy for the target ship based on cold source operation data of similar ship groups;

[0014] S5. Based on the cold source operation strategy, provide a reference for adjusting the parameters of the cold source system equipment of the target ship.

[0015] In one feasible solution, the ship configuration information includes at least the number of equipment, equipment rated parameters, design cooling load, total cooling area, and ship type; the cold source operation data includes at least the equipment type, equipment start-up and shutdown information, and equipment operating parameters.

[0016] In one feasible approach, step S3, based on the ship configuration information of the target ship and the ship configuration information of reference ships in the ship database, evaluates the similarity between the target ship and the reference ships in the ship database, and determines a group of similar ships within the similarity range to the target ship, including the following steps:

[0017] S31. Generate the ship characteristics of the target ship and the reference ship based on the ship configuration information;

[0018] S32. Normalize the characteristics of the target vessel and the reference vessel.

[0019] S33. Calculate the similarity between the target ship and reference ships in the ship database;

[0020] S34. Based on the similarity of ships, identify the group of similar ships that are most similar to the target ship from the ship database.

[0021] In one feasible approach, the calculation process for the ship characteristics of the target ship or any reference ship in step S31 includes the following steps:

[0022] Calculate the ratio α between the ship's design cooling load and the sum of the rated cooling capacities of the chillers in the cold source system:

[0023]

[0024] In the formula: Qe d Design cooling load, kW;

[0025] Qe0 is the sum of the rated cooling capacities of the chillers in the cold source system, in kW;

[0026] The ratio of the ship's total cooling area to its design cooling load is calculated and denoted as β:

[0027]

[0028] In the formula: A is the total cooling area, m 2 ;

[0029] Determine the air conditioning system type γ, where γ = 1, 2, 3...M; M is the code for the air conditioning system type determined based on the ship type;

[0030] Based on the fixed chilled water temperature difference and the rated coefficient of performance of the chiller, the design chilled water flow rate G is calculated according to the design cooling load.d_chw and design cooling water flow rate G d_cw ;

[0031] Calculate the ratio of the design chilled water flow rate to the sum of the rated flow rates of the chilled water pumps.

[0032]

[0033] Calculate the ratio of the design cooling water flow rate to the sum of the cooling water pump's rated flow rate.

[0034]

[0035] Therefore, the ship characteristics of ship x are:

[0036] Similarly, the ship characteristics of the target vessel are:

[0037] The ship characteristics of the reference ship are Where i = 1, 2, 3...N; N is the number of reference ships in the ship database;

[0038] Let the characteristics of the reference vessel and the target vessel be denoted as X, that is:

[0039]

[0040] In one feasible approach, the normalization of the ship characteristics of the target ship and the reference ship in step S32 includes the following steps:

[0041] Let the largest α in X be denoted as α. max The smallest α is denoted as α min The maximum β is denoted as β max The smallest β is denoted as β min The maximum γ is denoted as γ max The smallest γ is denoted as γ min ,maximum Record Minimum Record maximum Record Minimum Record

[0042] For all α, β, γ in X Normalization processing is performed, including:

[0043] Normalize the reference vessel α: Where i = 1, 2, 3, ..., N;

[0044] Normalize the reference vessel β: Where i = 1, 2, 3, ..., N;

[0045] Normalize the reference vessel γ: Where i = 1, 2, 3, ..., N;

[0046] For reference vessels Normalization is performed: Where i = 1, 2, 3, ..., N;

[0047] For reference vessels Normalization is performed: Where i = 1, 2, 3, ..., N;

[0048] Normalize the target vessel α:

[0049] Normalize the target vessel β:

[0050] Normalize the target ship γ:

[0051] For the target vessel Normalization is performed:

[0052] For the target vessel Normalization is performed:

[0053] Therefore, after normalizing X, we get Right now:

[0054]

[0055] In one feasible approach, calculating the similarity between the target vessel and reference vessels in the vessel database in step S33 includes the following steps:

[0056] Establish a similarity expression S i =S i (x norm,i ,x norm,tar The similarity between the target vessel and the i-th reference vessel is:

[0057]

[0058] In the formula: i = 1, 2, 3...N, The weights of each parameter in the aforementioned ship characteristics are...

[0059] Then the similarity between all reference ships and the target ship in the ship database is S = (S1, S2, ..., S...). N ).

[0060] In one feasible approach, step S34, which involves identifying the group of similar vessels most similar to the target vessel from a vessel database based on vessel similarity, includes the following steps:

[0061] Let N be the number of similar ship groups. s =min(N1,N2); where N1 is a set value, N2 = (5%~15%)N, and N is the number of reference ships;

[0062] Choose N with the lowest similarity from S. s S i The corresponding reference vessels form a similar vessel group, denoted as S. s :

[0063]

[0064] The characteristics of similar ship groups are denoted as

[0065] In one feasible approach, step S4, establishing the target ship's cooling source operation strategy based on cooling source operation data from similar ship groups, includes the following steps:

[0066] S41. Establish the cold source operation strategy expression F=((T,B),(C,P)); its meaning is: during the time period T, when the outdoor temperature is within the range of B, it is recommended that the number of devices to be started and stopped be C, and the operating parameter be set to P.

[0067] S42. Based on the similar vessel groups determined in step S3, select the cold source operation data of the similar vessel groups from the vessel database as the cold source operation database D of the similar vessel groups. The cold source operation data of each reference vessel and each time period in the cold source operation database D are denoted as Di. j :

[0068] D j =((T,B),(C,P)) j ;

[0069] S43. Based on different (T,B), classify the data in the cold source operation database D, that is:

[0070]

[0071] Where: N r This represents the sum of the number of cold source operation data entries in the cold source operation database D of similar ship groups that match the current (T,B) combination.

[0072] In one feasible approach, step S5, which provides a reference for adjusting the parameters of the target ship's cooling system equipment based on the cooling system operation strategy, includes the following steps:

[0073] Determine the actual time period and outdoor temperature during the target vessel's voyage to obtain the voyage temperature (T). r B r );

[0074] Determine (T,B) = (T) r B r The target ship's cold source operation strategy is F. r =((T) r B r ),(C r ,P r )); where (C r ,P r )for:

[0075] (C r ,P r ) = arg(R(T) r B r ));

[0076] In the formula: arg represents taking the mode, which is (C,P) that appears most frequently in the combination (T,B) as (C). r ,P r );

[0077] According to F r =((T) r B r ),(C r ,P r The operating strategy of (T) gives (T) r B r Reference for adjusting the parameters of cold source system equipment under the following conditions.

[0078] Secondly, a ship cooling source system control system is also provided, including:

[0079] The database module includes a ship database, which includes ship configuration information of multiple reference ships and cold source operation data of the corresponding reference ships;

[0080] The input module is used to input the ship configuration information of the target vessel;

[0081] The similarity calculation module is used to evaluate the similarity between the target ship and the reference ships in the ship database based on the ship configuration information of the target ship and the ship configuration information of the reference ships in the ship database, and to identify the similar ship group that is within the similarity range of the target ship.

[0082] The strategy establishment module is used to establish the cold source operation strategy of the target ship based on the cold source operation data of similar ship groups;

[0083] The strategy execution module is used to provide control references for the parameters of the target ship's cooling system equipment based on the cooling source operation strategy.

[0084] Compared with the prior art, the beneficial effects of this application include at least the following.

[0085] The core of the ship cooling system control method in this application lies in selecting a group of reference ships (similar ship group) that are highly similar to the target ship from an established ship database through ship similarity evaluation criteria. This selection mechanism not only ensures the relevance and practicality of the data, but also provides a solid foundation for the subsequent formulation of cooling system operation strategies.

[0086] After constructing a similar fleet, this method further utilizes the cooling system operation data of these ships to tailor a cooling system operation strategy for a specific target vessel. This strategy fully considers the actual operating conditions and historical data of the ships, providing precise guidance for adjusting equipment parameters of the ship's cooling system. In this way, ships can achieve more optimized cooling system operation, thereby achieving the goal of energy conservation and emission reduction.

[0087] A significant advantage of this method is that it requires almost no real-time temperature data acquisition from the refrigerated area. Compared to traditional methods of controlling cold source systems, this greatly reduces the need for complex data acquisition equipment. Furthermore, the elimination of the need for real-time monitoring and processing of large amounts of temperature data also simplifies the burden on the communication system.

[0088] Furthermore, this method does not require any modification to existing ship cooling systems, meaning it can be easily applied to various types of vessels without considering system compatibility issues. This design flexibility and simplicity significantly improves the universality and practicality of the method, while also reducing the cost of implementing energy-saving measures.

[0089] Furthermore, this method significantly improves data utilization efficiency by leveraging actual cooling source operation data from similar vessels. This approach not only reduces reliance on expert knowledge and strategies but also lowers the professional skill requirements for operators. This means that even in situations where specialized technical personnel are scarce, this method can be effectively applied, thereby lowering the application threshold and enabling more vessels to benefit from this energy-saving technology. Attached Figure Description

[0090] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0091] Figure 1 This is a flowchart illustrating a method for controlling a ship's cooling system according to an embodiment of this application;

[0092] Figure 2 This is a schematic diagram of the structure of a ship cooling source system control system according to an embodiment of this application;

[0093] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0094] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0095] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0096] like Figure 1 As shown, this application first provides a method for controlling a ship's cooling source system, including:

[0097] S1. Establish a ship database; the ship database includes the ship configuration information of multiple reference ships and the corresponding cold source operation data of the reference ships;

[0098] S2. Input the target vessel's configuration information;

[0099] S3. Based on the ship configuration information of the target ship and the ship configuration information of the reference ships in the ship database, evaluate the similarity between the target ship and the reference ships in the ship database, and identify the similar ship group that is within the similarity range of the target ship.

[0100] S4. Establish a cold source operation strategy for the target ship based on cold source operation data of similar ship groups;

[0101] S5. Based on the cold source operation strategy, provide a reference for adjusting the parameters of the cold source system equipment of the target ship.

[0102] In the ship cooling system control method of this application, a ship similarity judgment and evaluation standard is established to select reference ships that are very similar to the target ship from the ship database, and then a similar ship group is constructed. The cooling system operation strategy of the target ship can be established through the cooling system operation data of the similar ship group, and then the established cooling system operation strategy can provide adjustment guidance for the cooling system equipment parameters of the target ship.

[0103] Therefore, the ship cooling system control method of this application basically does not require the collection of real-time temperature data of the refrigeration area. This reduces the need for complex data acquisition equipment, simplifies the communication system, and eliminates the need for any modifications to the original system, increasing the universality of the invention and reducing the cost of implementing ship energy-saving measures. The ship cooling system control method of this application can fully utilize actual cooling system operation data from similar ships, improving the utilization efficiency of existing data, reducing the skill requirements for applying expert strategies, and lowering the application threshold of this method. It provides a simple and easy-to-implement energy-saving measure that can effectively reduce the energy consumption of the ship's cooling system.

[0104] In this embodiment, the ship configuration information includes at least the number of equipment, equipment rated parameters, design cooling load, total cooling area, and ship type. For example, ship types can be categorized as 15,000 TEU container ships, 21,000 TEU container ships, and 2200 m... 3 LNG carrier, 83,000m 3 LNG carriers, 4,000-vehicle car carriers, etc. The control system typically includes numerous sensors that can collect various cold source operating data, which at least includes equipment type, equipment start / stop information, and equipment operating parameters.

[0105] For example, equipment start-up and shutdown information can include equipment start-up type, number of start-ups, number of shutdowns, and operating time period, while equipment operating parameters can include chiller supply water temperature, cooling water pump frequency, and chilled water pump frequency.

[0106] In step S2, the ship configuration information of the target ship is entered, that is, the number of equipment, rated parameters of equipment, design cooling load, total area, ship type and other parameters of the target ship are entered.

[0107] In this embodiment, step S3, based on the ship configuration information of the target ship and the ship configuration information of reference ships in the ship database, evaluates the similarity between the target ship and the reference ships in the ship database, and determines a group of similar ships within the similarity range to the target ship. This may include the following steps:

[0108] S31. Generate the ship characteristics of the target ship and the reference ship based on the ship configuration information;

[0109] S32. Normalize the characteristics of the target vessel and the reference vessel.

[0110] S33. Calculate the similarity between the target ship and reference ships in the ship database;

[0111] S34. Based on the similarity of ships, identify the group of similar ships that are most similar to the target ship from the ship database.

[0112] Specifically, in this embodiment, the calculation process for the ship characteristics of the target ship or any reference ship in step S31 may include the following steps:

[0113] Calculate the ratio α between the ship's design cooling load and the sum of the rated cooling capacities of the chillers in the cold source system:

[0114]

[0115] In the formula: Qe d Design cooling load, kW;

[0116] Qe0 is the sum of the rated cooling capacities of the chillers in the cold source system, in kW;

[0117] The ratio of the ship's total cooling area to its design cooling load is calculated and denoted as β:

[0118]

[0119] In the formula: A is the total cooling area, m 2 ;

[0120] Determine the air conditioning system type γ, where γ = 1, 2, 3...M; M is the code for the air conditioning system type determined based on the ship type; for example, γ is 1 for a 15,000 TEU container ship, 2 for a 21,000 TEU container ship, and so on. 3 The γ level for LNG carriers is 3.

[0121] Based on the fixed chilled water temperature difference and the rated coefficient of performance of the chiller, the design chilled water flow rate G is calculated according to the design cooling load. d_chw and design cooling water flow rate G d_cw ;

[0122] Calculate the ratio of the design chilled water flow rate to the sum of the rated flow rates of the chilled water pumps.

[0123]

[0124] Calculate the ratio of the design cooling water flow rate to the sum of the cooling water pump's rated flow rate.

[0125]

[0126] Therefore, the ship characteristics of ship x are:

[0127] Similarly, the ship characteristics of the target vessel are:

[0128] The ship characteristics of the reference ship are Where i = 1, 2, 3...N; N is the number of reference ships in the ship database;

[0129] Let the characteristics of the reference vessel and the target vessel be denoted as X, that is:

[0130]

[0131] Specifically, in this embodiment, the normalization process for the ship characteristics of the target ship and the reference ship in step S32 may include the following steps:

[0132] Let the largest α in X be denoted as α. max The smallest α is denoted as α min The maximum β is denoted as β max The smallest β is denoted as β min The maximum γ is denoted as γ max The smallest γ is denoted as γ min ,maximum Record Minimum Record maximum Record Minimum Record

[0133] For all α, β, γ in X Normalization processing is performed, including:

[0134] Normalize the reference vessel α: Where i = 1, 2, 3, ..., N;

[0135] Normalize the reference vessel β: Where i = 1, 2, 3, ..., N;

[0136] Normalize the reference vessel γ: Where i = 1, 2, 3, ..., N;

[0137] For reference vessels Normalization is performed: Where i = 1, 2, 3, ..., N;

[0138] For reference vessels Normalization is performed: Where i = 1, 2, 3, ..., N;

[0139] Normalize the target vessel α:

[0140] Normalize the target vessel β:

[0141] Normalize the target ship γ:

[0142] For the target vessel Normalization is performed:

[0143] For the target vessel Normalization is performed:

[0144] Therefore, after normalizing X, we get Right now:

[0145]

[0146] Specifically, in this embodiment, calculating the similarity between the target ship and reference ships in the ship database in step S33 may include the following steps:

[0147] Establish a similarity expression S i =S i (x norm,i ,x norm,tar The similarity between the target vessel and the i-th reference vessel is:

[0148]

[0149] In the formula: i = 1, 2, 3...N, The weights of each parameter in the aforementioned ship characteristics are...

[0150] Then the similarity between all reference ships and the target ship in the ship database is S = (S1, S2, ..., S...). N ).

[0151] Specifically, in this embodiment, step S34, which involves determining the group of similar ships most similar to the target ship from the ship database based on ship similarity, may include the following steps:

[0152] Let N be the number of similar ship groups.s =min(N1,N2); where N1 is a set value, N2 = (5%~15%)N, and N is the number of reference ships; for example, N1 can be 10, and N2 = 10%N;

[0153] Choose N with the lowest similarity from S. s S i The corresponding reference vessels form a similar vessel group, denoted as S. s :

[0154]

[0155] The characteristics of similar ship groups are denoted as

[0156] In this embodiment, step S4, establishing the cold source operation strategy for the target ship based on the cold source operation data of similar ship groups, may include the following steps:

[0157] S41. Establish the cold source operation strategy expression F=((T,B),(C,P)); its meaning is: during the time period T, when the outdoor temperature is within the range of B, it is recommended that the number of devices to be started and stopped be C, and the operating parameter be set to P.

[0158] S42. Based on the similar vessel groups determined in step S3, select the cold source operation data of the similar vessel groups from the vessel database as the cold source operation database D of the similar vessel groups. The cold source operation data of each reference vessel and each time period in the cold source operation database D are denoted as Di. j :

[0159] D j =((T,B),(C,P)) j ;

[0160] S43. Based on different (T,B), classify the data in the cold source operation database D, that is:

[0161]

[0162] Where: N r This represents the sum of the number of cold source operation data entries in the cold source operation database D of similar ship groups that match the current (T,B) combination.

[0163] In step S41, the time period T can be segmented into segments with a length of 30 minutes, 60 minutes, etc., the outdoor temperature range B can be segmented into segments with a length of 1℃, 2℃, etc., the number of equipment started and stopped C can be expressed as (chiller start / stop C1 units, cooling water pump start C2 units, chilled water pump start C3 units), and the equipment operating parameter setting P can be expressed as (chiller supply water temperature is P1℃, cooling water pump frequency is P2Hz, chilled water pump frequency is P3Hz).

[0164] In this embodiment, step S5, providing a reference for adjusting the parameters of the target ship's cooling system equipment based on the cooling source operation strategy, may include the following steps:

[0165] Determine the actual time period and outdoor temperature during the target vessel's voyage to obtain the voyage temperature (T). r B r The outdoor temperature can be obtained using a simple outdoor temperature sensor, or it can be determined by combining seasonal factors, ship latitude and longitude data, solar altitude, weather data, etc.

[0166] Determine (T,B) = (T) r B r The target ship's cold source operation strategy is F. r =((T) r B r ),(C r ,P r )); where (C r ,P r )for:

[0167] (C r ,P r ) = arg(R(T) r B r ));

[0168] In the formula: arg represents taking the mode, which is (C,P) that appears most frequently in the combination (T,B) as (C). r ,P r );

[0169] According to F r =((T) r B r ),(C r ,P r The operating strategy of (T) gives (T) r B r Reference for adjusting the parameters of cold source system equipment under the following conditions.

[0170] For example, "at that time, segment T" r Between 8:00 and 9:00, when the outdoor temperature B r Within the range of (26, 27)℃, the number of equipment starts and stops, C r For (starting 1 chiller unit, starting 1 cooling water pump, starting 1 chilled water pump), the equipment operating parameter P is... r The recommended settings are: chiller water supply temperature 12℃, cooling water pump frequency 42Hz, and chilled water pump frequency 42Hz.

[0171] The core of the ship cooling system control method in this application lies in selecting a group of reference ships (similar ship group) that are highly similar to the target ship from an established ship database through ship similarity evaluation criteria. This selection mechanism not only ensures the relevance and practicality of the data, but also provides a solid foundation for the subsequent formulation of cooling system operation strategies.

[0172] After constructing a similar fleet, this method further utilizes the cooling system operation data of these ships to tailor a cooling system operation strategy for a specific target vessel. This strategy fully considers the actual operating conditions and historical data of the ships, providing precise guidance for adjusting equipment parameters of the ship's cooling system. In this way, ships can achieve more optimized cooling system operation, thereby achieving the goal of energy conservation and emission reduction.

[0173] A significant advantage of this method is that it requires almost no real-time temperature data acquisition from the refrigerated area. Compared to traditional methods of controlling cold source systems, this greatly reduces the need for complex data acquisition equipment. Furthermore, the elimination of the need for real-time monitoring and processing of large amounts of temperature data also simplifies the burden on the communication system.

[0174] Furthermore, this method does not require any modification to existing ship cooling systems, meaning it can be easily applied to various types of vessels without considering system compatibility issues. This design flexibility and simplicity significantly improves the universality and practicality of the method, while also reducing the cost of implementing energy-saving measures.

[0175] Furthermore, this method significantly improves data utilization efficiency by leveraging actual cooling source operation data from similar vessels. This approach not only reduces reliance on expert knowledge and strategies but also lowers the professional skill requirements for operators. This means that even in situations where specialized technical personnel are scarce, this method can be effectively applied, thereby lowering the application threshold and enabling more vessels to benefit from this energy-saving technology.

[0176] In summary, the ship cooling system control method of this application, with its high efficiency, low cost, and ease of implementation, provides a practical energy-saving and emission-reduction solution for the shipbuilding industry. It not only improves the energy efficiency management level of ships but also brings both economic and environmental benefits to ship operators without adding extra burdens. With continuous technological advancements and deeper applications, this method is expected to play an even more important role in the future field of ship cooling system control.

[0177] Secondly, such as Figure 2 As shown in the illustration, this application also provides a ship cooling source system control system, including:

[0178] Database module 10 includes a ship database, which includes ship configuration information of multiple reference ships and cold source operation data of the corresponding reference ships;

[0179] Input module 20 is used to input the ship configuration information of the target ship;

[0180] The similarity calculation module 30 is used to evaluate the similarity between the target ship and the reference ships in the ship database based on the ship configuration information of the target ship and the ship configuration information of the reference ships in the ship database, and to determine the similar ship group that is within the similarity range of the target ship.

[0181] The strategy establishment module 40 is used to establish the cold source operation strategy of the target ship based on the cold source operation data of similar ship groups.

[0182] The strategy execution module 50 is used to provide a reference for adjusting the parameters of the cold source system equipment of the target ship based on the cold source operation strategy.

[0183] Corresponding to the above method embodiments, such as Figure 3 As shown, this application also provides an electronic device, which includes a processor 1 and a memory 2 storing computer program instructions. The processor 1 and the memory 2 can communicate with each other via a communication bus 3. The processor 1 is used to execute computer program instructions, and the memory 2 is used to store computer program instructions.

[0184] Processor 1 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement this embodiment. Memory 2 may include high-speed RAM or non-volatile memory, such as at least one disk storage device. Processor 1 executes at least one computer program instruction to implement the steps shown in the embodiment of the ship cooling system control method.

[0185] Corresponding to the above method embodiments, this application also provides a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement the steps shown in the embodiments of the ship cooling source system control method.

[0186] Computer storage media can be tangible media that may contain or store programs for use by or in conjunction with an instruction execution system, apparatus, or device. Computer storage media can be machine-readable signal media or machine-readable storage media. Computer storage media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0187] Corresponding to the above method embodiments, this application also provides a computer program product, wherein the instructions in the computer program product, when executed by a processor, implement the steps shown in the embodiments of the ship cooling source system control method.

[0188] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for regulating a ship's cooling source system, characterized in that, include: S1. Establish a ship database; The ship database includes ship configuration information for multiple reference ships and corresponding cold source operation data for the reference ships; S2. Input the target vessel's configuration information; S3. Based on the ship configuration information of the target ship and the ship configuration information of the reference ships in the ship database, evaluate the similarity between the target ship and the reference ships in the ship database, and identify the similar ship group that is within the similarity range of the target ship. S4. Establish a cold source operation strategy for the target ship based on cold source operation data of similar ship groups; S5. Based on the cold source operation strategy, provide a reference for adjusting the parameters of the cold source system equipment of the target ship; The ship configuration information includes at least the number of equipment, equipment rated parameters, design cooling load, total cooling area, and ship type; the cold source operation data includes at least the equipment type, equipment start-up and shutdown information, and equipment operating parameters. Step S3 includes the following steps: S31. Generate the ship characteristics of the target ship and the reference ship based on the ship configuration information; S32. Normalize the characteristics of the target vessel and the reference vessel. S33. Calculate the similarity between the target ship and reference ships in the ship database; S34. Based on the similarity of ships, identify the group of similar ships that are most similar to the target ship from the ship database; The calculation process for the ship characteristics of the target ship or any reference ship in step S31 includes the following steps: Calculate the ratio α between the ship's design cooling load and the sum of the rated cooling capacities of the chillers in the cold source system: In the formula: Qe d Design cooling load, kW; Qe0 is the sum of the rated cooling capacities of the chillers in the cold source system, in kW; The ratio of the ship's total cooling area to its design cooling load is calculated and denoted as β: In the formula: A is the total cooling area, m 2 ; Determine the air conditioning system type γ, where γ = 1, 2, 3...M; M is the code for the air conditioning system type determined based on the ship type; Based on the fixed chilled water temperature difference and the rated coefficient of performance of the chiller, the design chilled water flow rate G is calculated according to the design cooling load. d_chw and design cooling water flow rate G d_cw ; Calculate the ratio of the design chilled water flow rate to the sum of the rated flow rates of the chilled water pumps. Calculate the ratio of the design cooling water flow rate to the sum of the cooling water pump's rated flow rate. Therefore, the ship characteristics of ship x are: Similarly, the ship characteristics of the target vessel are: The ship characteristics of the reference ship are Where i = 1, 2, 3...N; N is the number of reference ships in the ship database; Let the characteristics of the reference vessel and the target vessel be denoted as X, that is:

2. The ship cooling source system control method according to claim 1, characterized in that, Step S32, which normalizes the ship characteristics of the target ship and the reference ship, includes the following steps: Let the largest α in X be denoted as α. max The smallest α is denoted as α min The maximum β is denoted as β max The smallest β is denoted as β min The maximum γ is denoted as γ max The smallest γ is denoted as γ min ,maximum Record Minimum Record maximum Record Minimum Record For all α, β, γ in X Normalization processing is performed, including: Normalize the reference vessel α: Where i = 1, 2, 3, ..., N; Normalize the reference vessel β: Where i = 1, 2, 3, ..., N; Normalize the reference vessel γ: Where i = 1, 2, 3, ..., N; For reference vessels Normalization is performed: Where i = 1, 2, 3, ..., N; For reference vessels Normalization is performed: Where i = 1, 2, 3, ..., N; Normalize the target vessel α: Normalize the target vessel β: Normalize the target vessel γ: For the target vessel Normalization is performed: For the target vessel Normalization is performed: Therefore, after normalizing X, we get Right now:

3. The ship cooling source system control method according to claim 2, characterized in that, Step S33, calculating the similarity between the target vessel and reference vessels in the vessel database, includes the following steps: Establish a similarity expression S i =S i (x norm,i ,x norm,tar The similarity between the target vessel and the i-th reference vessel is: In the formula: i = 1, 2, 3...N, The weights of each parameter in the aforementioned ship characteristics are... Then the similarity between all reference ships and the target ship in the ship database is S = (S1, S2, ..., S...). N ).

4. The ship cooling source system control method according to claim 3, characterized in that, Step S34, which identifies the group of similar ships most similar to the target ship from the ship database based on ship similarity, includes the following steps: Let N be the number of similar ship groups. s =min(N1,N2); where N1 is a set value, N2 = (5%~15%)N, and N is the number of reference ships; Choose N with the lowest similarity from S. s S i The corresponding reference vessels form a similar vessel group, denoted as S. s : The characteristics of similar ship groups are denoted as 5. The method for regulating a ship's cooling source system according to any one of claims 1-4, characterized in that, In step S4, establishing the cold source operation strategy for the target ship based on the cold source operation data of similar ship groups includes the following steps: S41. Establish the cold source operation strategy expression F=((T,B),(C,P)); its meaning is: during the time period T, when the outdoor temperature is within the range of B, it is recommended that the number of devices to be started and stopped be C, and the operating parameter be set to P. S42. Based on the similar vessel groups determined in step S3, select the cold source operation data of the similar vessel groups from the vessel database as the cold source operation database D of the similar vessel groups. The cold source operation data of each reference vessel and each time period in the cold source operation database D are denoted as Di. j : D j =((T,B),(C,P)) j ; S43. Based on different (T,B), classify the data in the cold source operation database D, that is: Where: N r This represents the sum of the number of cold source operation data entries in the cold source operation database D of similar ship groups that match the current (T,B) combination.

6. The method for regulating a ship's cooling source system according to claim 5, characterized in that, In step S5, providing adjustment references for the equipment parameters of the target ship's cooling system based on the cooling source operation strategy includes the following steps: Determine the actual time period and outdoor temperature during the target vessel's voyage to obtain the voyage temperature (T). r B r ); Determine (T,B) = (T) r B r The target ship's cold source operation strategy is F. r =((T) r B r ),(C r ,P r )); where (C r ,P r )for: (C r ,P r )=arg(R(T r ,B r )); In the formula: arg represents taking the mode, which is (C,P) that appears most frequently in the combination (T,B) as (C). r ,P r ); According to F r =((T) r B r ),(C r ,P r The operating strategy of (T) gives (T) r B r Reference for adjusting the parameters of cold source system equipment under the following conditions.

7. A ship cooling source system control system, characterized in that, include: The database module (10) includes a ship database, which includes ship configuration information of multiple reference ships and cold source operation data of the corresponding reference ships. Input module (20) is used to input the ship configuration information of the target ship; The similarity calculation module (30) is used to evaluate the similarity between the target ship and the reference ships in the ship database based on the ship configuration information of the target ship and the ship configuration information of the reference ships in the ship database, and to determine the similar ship group that is within the similarity range of the target ship. The strategy establishment module (40) is used to establish the cold source operation strategy of the target ship based on the cold source operation data of similar ship groups; The strategy execution module (50) is used to provide a reference for adjusting the parameters of the cold source system equipment of the target ship based on the cold source operation strategy; The ship configuration information includes at least the number of equipment, equipment rated parameters, design cooling load, total cooling area, and ship type; the cold source operation data includes at least the equipment type, equipment start-up and shutdown information, and equipment operating parameters. Based on the ship configuration information of the target ship and the ship configuration information of reference ships in the ship database, the similarity between the target ship and the reference ships in the ship database is evaluated, and a group of similar ships within the similarity range of the target ship is identified, including the following steps: The ship characteristics of the target ship and the reference ship are generated based on the ship configuration information; The characteristics of the target vessel and the reference vessel are normalized. Calculate the similarity between the target ship and reference ships in the ship database; Based on the similarity of ships, a group of similar ships that are most similar to the target ship is identified from the ship database; The calculation process for the ship characteristics of the target ship or any reference ship includes the following steps: Calculate the ratio α between the ship's design cooling load and the sum of the rated cooling capacities of the chillers in the cold source system: In the formula: Qe d Design cooling load, kW; Qe0 is the sum of the rated cooling capacities of the chillers in the cold source system, in kW; The ratio of the ship's total cooling area to its design cooling load is calculated and denoted as β: In the formula: A is the total cooling area, m 2 ; Determine the air conditioning system type γ, where γ = 1, 2, 3...M; M is the code for the air conditioning system type determined based on the ship type; Based on the fixed chilled water temperature difference and the rated coefficient of performance of the chiller, the design chilled water flow rate G is calculated according to the design cooling load. d_chw and design cooling water flow rate G d_cw ; Calculate the ratio of the design chilled water flow rate to the sum of the rated flow rates of the chilled water pumps. Calculate the ratio of the design cooling water flow rate to the sum of the cooling water pump's rated flow rate. Therefore, the ship characteristics of ship x are: Similarly, the characteristics of the target vessel are: The ship characteristics of the reference ship are Where i = 1, 2, 3...N; N is the number of reference ships in the ship database; Let X denote the ship characteristics of the reference ship and the target ship, that is:

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