Ship cold source system regulation and control method and regulation and control system

Abstract

The invention provides a ship cold source system regulation and control method and system based on ship similarity. The regulation and control method comprises the steps that a ship database is established; inputting ship configuration information of the target ship; based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, evaluating the similarity between the target ship and the reference ship in the ship database, and determining a similar ship group in a similar range with the target ship; establishing a cold source operation strategy of the target ship based on the cold source operation data of the similar ship group; and providing a regulation and control reference for equipment parameters of the cold source system of the target ship based on the cold source operation strategy. According to the scheme, similar ships similar to the target ship can be screened, personalized cold source operation strategies are formulated, energy conservation and emission reduction are optimized, dependence on real-time temperature data is reduced, system transformation is reduced, cost is reduced, and universality is improved. Meanwhile, the data utilization efficiency is improved, dependence on experts is reduced, operation is simplified, and the technology is easy to implement.

Description

Technical Field

[0001] The present application relates to the field of optimization control of ship cooling source systems, and in particular, to a ship cooling source system control method and control system. Background Art

[0002] When a ship sails in different sea areas, the external environment changes dramatically, and the temperature difference between different seasons and different sea areas can reach about 60°C. Ship air conditioning equipment is usually selected based on the principle of meeting the design conditions, and operates in a constant speed and constant power mode, resulting in the air conditioning system being in a partial load state most of the time.

[0003] In addition, the operating efficiency of fans and pumps in ship cooling systems is generally only 40% to 50%. Therefore, ship cooling systems have great energy-saving prospects in equipment operation. At present, many studies have proposed energy-saving operation plans for different types of ships. According to the changes in outdoor loads, the equipment operation status is dynamically adjusted, which can not only increase the cabin comfort during the voyage of the ship, but also save energy and increase the ship's endurance. With the increase in the number of ships with energy-saving operation plans, the outdoor meteorological parameters that are adapted to their annual heading in time and space and their corresponding air-conditioning equipment operation plans have important application value for similar ships. By directly calling the database parameters of the meteorological data and operation data accumulated during the ship's operation process, the operation of the target ship's air-conditioning system is adjusted, thereby achieving the purpose of reducing operating energy consumption.

[0004] At present, the control methods of cold source systems mainly include traditional fixed parameter control, expert strategy experience control, intelligent algorithm optimization control, model-free control, etc. Traditional fixed parameter control is prone to large energy waste due to the large redundancy of cold source equipment, and it is impossible to adjust the equipment in real time in the face of complex and changeable conditions at the end.

[0005] For example, the air conditioning and ventilation optimization systems in some public buildings collect environmental parameters through sensors, establish an air conditioning and ventilation database, establish an expert model strategy library based on equipment information, and update the expert strategy model library in real time based on equipment operation data, and automatically adjust the air conditioning system equipment parameters based on expert strategies. This solution can effectively adjust equipment parameters to reduce system energy consumption while maintaining indoor comfort, but it requires complex data acquisition equipment and communication systems, and cannot provide universal expert strategies based on complex and changeable projects.

[0006] For example, in some central air-conditioning refrigeration station systems, energy-saving optimization control systems and control methods thereof include industrial control computers and PLC / BAS field control systems connected thereto, which collect environmental parameters and equipment data through sensors, establish equipment model libraries and system energy consumption models, and use global optimization algorithms to optimize and control equipment operating parameters in real time. Although this solution can optimize and control equipment parameters in real time according to indoor and outdoor parameters on site, and reduce system energy consumption as much as possible while ensuring that the cooling capacity remains unchanged, it still requires complex data acquisition equipment and communication systems, and a certain amount of equipment data in the early stage to build the model, which reduces the universality of the method.

[0007] For example, in some central air-conditioning control methods based on multi-agent deep reinforcement learning, load demand and outdoor wet-bulb temperature are used to optimize the number of chillers started and stopped, water pump frequency, and fan frequency in the cold source system based on multi-agent deep reinforcement learning, which can effectively reduce equipment failure rate and energy consumption. Although this solution can effectively reduce the energy consumption of water pumps and fans, the chiller as a core component of the cold source cannot be ignored, and this method cannot work for fixed-frequency water pumps without frequency converters, reducing its universality. Summary of the invention

[0008] Based on the technical problems in the background technology, the present application provides a ship cold source system control method and control system based on ship similarity, which can screen similar ships similar to the target ship, formulate personalized cold source operation strategies, and optimize energy conservation and emission reduction. The advantages of the method are that it reduces the dependence on real-time temperature data, reduces or avoids system transformation, reduces costs, and improves universality. At the same time, it improves data utilization efficiency, reduces dependence on experts, simplifies operations, and makes energy-saving technology easy to implement and widely applicable.

[0009] The present application provides a method for controlling a ship cooling system, comprising:

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

[0011] S2. Input the ship configuration information of the target ship;

[0012] S3, based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, evaluating the similarity between the target ship and the reference ship in the ship database, and determining a group of similar ships that are in a similar range to the target ship;

[0013] S4, establishing a cold source operation strategy for the target ship based on the cold source operation data of a group of similar ships;

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

[0015] In an implementable solution, the ship configuration information includes at least the number of equipment, equipment rated parameters, designed cooling load, total cooling area, and ship type; the cold source operation data includes at least the equipment type, equipment start and stop information, and equipment operation parameters.

[0016] In an practicable solution, in step S3, based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, evaluating the similarity between the target ship and the reference ship in the ship database, and determining a group of similar ships within a similar range to the target ship comprises the following steps:

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

[0018] S32, normalizing the ship characteristics of the target ship and the ship characteristics of the reference ship;

[0019] S33, calculating the similarity between the target ship and the reference ships in the ship database;

[0020] S34. Determine a group of similar ships that are most similar to the target ship from a ship database based on the similarity of the ships.

[0021] In an practicable solution, the calculation process of the ship characteristics of the target ship or any reference ship in step S31 includes the following steps:

[0022] Calculate the ratio α of the ship's design cooling load to the sum of the rated cooling capacity of the refrigeration machines in the cold source system:

[0023]

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

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

[0026] The ratio of the total refrigeration area of ​​the ship to the design cooling load is calculated and recorded as β:

[0027]

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

[0029] Determine the air conditioning system type γ, γ = 1, 2, 3 ... M; M is the code of the air conditioning system type determined according to the ship type;

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

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

[0032]

[0033] Calculate the ratio of the designed cooling water flow rate to the sum of the rated flow rates of the cooling water pumps

[0034]

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

[0036] Similarly, the ship characteristics of the target ship 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] The ship characteristics of the reference ship and the target ship are denoted as X, that is:

[0039]

[0040] In an practicable solution, the normalization process of the ship characteristics of the target ship and the ship characteristics of the reference ship in step S32 includes the following steps:

[0041] Let the largest α in X be α max , the minimum α is denoted as α min , the maximum β is denoted as β max , the minimum β is denoted as β min , the maximum γ is denoted as γ max , the minimum γ is denoted as γ min ,maximum Recorded as Minimum Recorded as maximum Recorded as Minimum Recorded as

[0042] For all α, β, γ, Perform normalization processing; including:

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

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

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

[0046] For reference ships Perform normalization: Where i = 1, 2, 3, ... N;

[0047] For reference ships Perform normalization: Where i = 1, 2, 3, ... N;

[0048] Normalize the target ship α:

[0049] Normalize the target ship β:

[0050] Normalize the target ship γ:

[0051] Target ship Perform normalization:

[0052] Target ship Perform normalization:

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

[0054]

[0055] In an practicable solution, calculating the similarity between the target ship and the reference ship in the ship database in step S33 includes the following steps:

[0056] Create a similarity expression S i =S i (x norm,i ,x norm,tar ), that is, the similarity between the target ship and the i-th reference ship is:

[0057]

[0058] Where: i = 1, 2, 3 ... N, is the weight of each parameter in the ship characteristics,

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

[0060] In an practicable solution, determining the similar ship group most similar to the target ship from the ship database based on the similarity of the ships in step S34 includes the following steps:

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

[0062] Select N with the smallest similarity from S s S i The corresponding reference ships form a similar ship group, denoted as S s :

[0063]

[0064] The ship characteristics of a group of similar ships are denoted by

[0065] In an practicable solution, in step S4, establishing a cold source operation strategy for a target ship based on cold source operation data of a group of similar ships includes the following steps:

[0066] S41, establish a cold source operation strategy expression F = ((T, B), (C, P)); its meaning is: in the T period, the outdoor temperature is in the B interval, it is recommended that the number of start and stop of each device is C, and the operation parameter is set to P;

[0067] S42, according to the similar ship group determined in step S3, the cold source operation data of the similar ship group is screened out from the ship database as the cold source operation database D of the similar ship group, and the cold source operation data of each reference ship and each time period in the cold source operation database D is recorded as D j :

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

[0069] S43. According to different (T, B), the data in the cold source operation database D is classified, that is:

[0070]

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

[0072] In an practicable solution, in step S5, providing a control reference for the equipment parameters of the cold source system of the target ship based on the cold source operation strategy includes the following steps:

[0073] Determine the actual sailing period and outdoor temperature of the target ship and obtain the (T r ,B r );

[0074] Determine (T, B) = (T r ,B r The cold source operation strategy of the target ship under ) 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 the majority, and the (C,P) with the largest number of occurrences in the (T,B) combination is taken as (C r ,P r );

[0077] According to F r =((T r ,B r ),(C r ,P r ))'s operation strategy gives (T r ,B r ) conditions.

[0078] In the second aspect, a ship cold source system control system is also provided, comprising:

[0079] A database module, including a ship database, wherein the ship database includes ship configuration information of a plurality of reference ships and cold source operation data corresponding to the reference ships;

[0080] An input module, used for inputting ship configuration information of a target ship;

[0081] A similarity calculation module is used to evaluate the similarity between the target ship and the reference ship in the ship database based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, and determine a group of similar ships that are within a similar range to the target ship;

[0082] A strategy establishment module, used to establish a cold source operation strategy for a target ship based on the cold source operation data of a group of similar ships;

[0083] The strategy execution module is used to provide a control reference for the cold source system equipment parameters of the target ship based on the cold source operation strategy.

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

[0085] The core of the ship cold source system control method of the present application is to screen out a reference ship group (similar ship group) that is highly similar to the target ship from the established ship database through the ship similarity evaluation standard. Such a screening mechanism not only ensures the relevance and practicality of the data, but also provides a solid foundation for the formulation of subsequent cold source operation strategies.

[0086] After building a group of similar ships, this method further uses the cold source operation data of these ships to tailor a set of cold source operation strategies for specific target ships. This strategy fully considers the actual operating conditions and historical data of the ship and can provide accurate equipment parameter adjustment guidance for the ship's cold source system. In this way, the ship can achieve more optimized cold source 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 collection in the cooling area. Compared with traditional cooling system control methods, this greatly reduces the need for complex data acquisition equipment. Since there is no need to monitor and process a large amount of temperature data in real time, the burden on the communication system is also simplified.

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

[0089] In addition, this method significantly improves the efficiency of data utilization by utilizing the actual cold source operation data of similar ships. This approach not only reduces the reliance on expert knowledge and strategies, but also reduces the requirements for the professional quality of operators. This means that even in the absence of professional technicians, this method can be effectively applied, thereby lowering the application threshold and enabling more ships to benefit from this energy-saving technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments 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.

[0091] Figure 1 It is a flow chart of a method for controlling a ship cold source system according to an embodiment of the present application;

[0092] Figure 2 It is a structural schematic diagram of a ship cold source system control system according to an embodiment of the present application;

[0093] Figure 3 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0094] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0095] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0096] like Figure 1 As shown, the embodiment of the present application first provides a method for controlling a ship cold source system, comprising:

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

[0098] S2. Input the ship configuration information of the target ship;

[0099] S3, based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, evaluating the similarity between the target ship and the reference ship in the ship database, and determining a group of similar ships that are in a similar range to the target ship;

[0100] S4, establishing a cold source operation strategy for the target ship based on the cold source operation data of a group of similar ships;

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

[0102] In the ship cold source system control method of the present application, a reference ship that is very similar to the target ship is screened out from the ship database through the established ship similarity judgment and evaluation criteria, and then a similar ship group is constructed. The cold source operation data of the similar ship group can be used to establish the cold source operation strategy of the target ship, and then the established cold source operation strategy can be used to provide adjustment guidance for the cold source system equipment parameters of the target ship.

[0103] It can be seen from this that the ship cold source system control method of the present application basically does not need to collect the real-time temperature of the refrigeration area, so it can reduce complicated data acquisition equipment, simplify the communication system, and do not need to make any modifications to the original system, which increases the universality of the present invention and reduces the cost of implementing ship energy-saving measures. The ship cold source system control method of the present application can make full use of the actual cold source operation data of similar ships of the target ship, improve the utilization efficiency of existing data, reduce the requirements for personnel quality of the application expert strategy, and lower the application threshold of the method. Provides a simple and easy energy-saving measure that can effectively reduce the energy consumption of the cold source system for ships.

[0104] In this embodiment, the ship configuration information at least includes the number of equipment, equipment rated parameters, design cooling load, total cooling area, ship type, etc. The ship type can be divided into 15000TEU container ship, 21000TEU container ship, 2200m 3 LNG carrier, 83000m 3 LNG ship, 4000 car carrier, etc. Usually the control system contains many sensors, which can collect a variety of cold source operation data. The cold source operation data at least includes equipment type, equipment start and stop information, equipment operation parameters, etc.

[0105] For example, the equipment start and stop information may include the equipment start type, start number, shutdown number, operating time period, etc., and the equipment operating parameters may include the chiller water supply temperature, cooling water pump frequency, freezing water pump frequency, etc.

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

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

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

[0109] S32, normalizing the ship characteristics of the target ship and the ship characteristics of the reference ship;

[0110] S33, calculating the similarity between the target ship and the reference ships in the ship database;

[0111] S34. Determine a group of similar ships that are most similar to the target ship from a ship database based on the similarity of the ships.

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

[0113] Calculate the ratio α of the ship's design cooling load to the sum of the rated cooling capacity of the refrigeration machines in the cold source system:

[0114]

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

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

[0117] The ratio of the total refrigeration area of ​​the ship to the design cooling load is calculated and recorded as β:

[0118]

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

[0120] Determine the air conditioning system type γ, γ = 1, 2, 3 ... M; M is the code of the air conditioning system type determined according to the ship type; for example, γ of a 15000TEU container ship is 1, γ of a 21000TEU container ship is 2, and γ of a 2200m 3 The γ of LNG carriers is 3;

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

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

[0123]

[0124] Calculate the ratio of the designed cooling water flow rate to the sum of the rated flow rates of the cooling water pumps

[0125]

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

[0127] Similarly, the ship characteristics of the target ship 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] The ship characteristics of the reference ship and the target ship are denoted as X, that is:

[0130]

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

[0132] Let the largest α in X be α max , the minimum α is denoted as α min , the maximum β is denoted as β max , the minimum β is denoted as β min , the maximum γ is denoted as γ max , the minimum γ is denoted as γ min ,maximum Recorded as Minimum Recorded as maximum Recorded as Minimum Recorded as

[0133] For all α, β, γ, Perform normalization processing; including:

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

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

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

[0137] For reference ships Perform normalization: Where i = 1, 2, 3, ... N;

[0138] For reference ships Perform normalization: Where i = 1, 2, 3, ... N;

[0139] Normalize the target ship α:

[0140] Normalize the target ship β:

[0141] Normalize the target ship γ:

[0142] Target ship Perform normalization:

[0143] Target ship Perform normalization:

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

[0145]

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

[0147] Create a similarity expression S i =S i (x norm,i ,x norm,tar ), that is, the similarity between the target ship and the i-th reference ship is:

[0148]

[0149] Where: i = 1, 2, 3 ... N, is the weight of each parameter in the ship characteristics,

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

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

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

[0153] Select N with the smallest similarity from S s S i The corresponding reference ships form a similar ship group, denoted as S s :

[0154]

[0155] The ship characteristics of a group of similar ships are denoted by

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

[0157] S41, establish a cold source operation strategy expression F = ((T, B), (C, P)); its meaning is: in the T period, the outdoor temperature is in the B interval, it is recommended that the number of start and stop of each device is C, and the operation parameter is set to P;

[0158] S42, according to the similar ship group determined in step S3, the cold source operation data of the similar ship group is screened out from the ship database as the cold source operation database D of the similar ship group, and the cold source operation data of each reference ship and each time period in the cold source operation database D is recorded as D j :

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

[0160] S43. According to different (T, B), the data in the cold source operation database D is classified, that is:

[0161]

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

[0163] In step S41, the time period T can be segmented according to time period lengths of 30 minutes, 60 minutes, etc., the outdoor temperature interval B can be segmented according to interval lengths of 1°C, 2°C, etc., the number of equipment starts and stops C can be expressed as (C1 chiller starts and stops, C2 cooling water pumps start, and C3 chilled water pumps start), and the equipment operation parameter setting P can be expressed as (the chiller water supply temperature is P1°C, the cooling water pump frequency is P2Hz, and the chilled water pump frequency is P3Hz).

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

[0165] Determine the actual sailing period and outdoor temperature of the target ship and obtain the (T r ,B r ); Here, a simple outdoor temperature sensor can be used to obtain the outdoor temperature, or the outdoor temperature value can be determined comprehensively based on seasonal factors, ship longitude and latitude data, sun altitude, weather data, etc.

[0166] Determine (T, B) = (T r ,B r The cold source operation strategy of the target ship under ) 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 the majority, and the (C,P) with the largest number of occurrences in the (T,B) combination is taken as (C r ,P r );

[0169] According to F r =((T r ,B r ),(C r ,P r ))'s operation strategy gives (T r ,B r ) conditions.

[0170] For example, "When the period T r Between 8:00 and 9:00, when the outdoor temperature is B r Within (26,27)℃, the number of equipment starts and stops C r = (1 chiller starts, 1 cooling water pump starts, 1 freezing water pump starts), equipment operating parameters P r The recommendations are (chiller water supply temperature is 12°C, cooling water pump frequency is 42Hz, and chilled water pump frequency is 42Hz)".

[0171] The core of the ship cold source system control method of the present application is to screen out a reference ship group (similar ship group) that is highly similar to the target ship from the established ship database through the ship similarity evaluation standard. Such a screening mechanism not only ensures the relevance and practicality of the data, but also provides a solid foundation for the formulation of subsequent cold source operation strategies.

[0172] After building a group of similar ships, this method further uses the cold source operation data of these ships to tailor a set of cold source operation strategies for specific target ships. This strategy fully considers the actual operating conditions and historical data of the ship and can provide accurate equipment parameter adjustment guidance for the ship's cold source system. In this way, the ship can achieve more optimized cold source 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 collection in the cooling area. Compared with traditional cooling system control methods, this greatly reduces the need for complex data acquisition equipment. Since there is no need to monitor and process a large amount of temperature data in real time, the burden on the communication system is also simplified.

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

[0175] In addition, this method significantly improves the efficiency of data utilization by utilizing the actual cold source operation data of similar ships. This approach not only reduces the reliance on expert knowledge and strategies, but also reduces the requirements for the professional quality of operators. This means that even in the absence of professional technicians, this method can be effectively applied, thereby lowering the application threshold and enabling more ships to benefit from this energy-saving technology.

[0176] In summary, the ship cold source system control method of the present application provides a practical energy-saving and emission-reduction solution for the ship industry with its high efficiency, low cost and easy implementation. It can not only improve the energy efficiency management level of ships, but also bring economic and environmental benefits to ship operators without adding additional burdens. With the continuous advancement of technology and the deepening of application, this method is expected to play a more important role in the field of ship cold source system control in the future.

[0177] Second, as Figure 2 As shown, the embodiment of the present application also provides a ship cold source system control system, including:

[0178] The database module 10 includes a ship database, wherein the ship database includes ship configuration information of a plurality of reference ships and cold source operation data corresponding to the reference ships;

[0179] An input module 20, used to input ship configuration information of a target ship;

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

[0181] A strategy establishment module 40, for establishing a cold source operation strategy for a target ship based on cold source operation data of a group of similar ships;

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

[0183] Corresponding to the above method embodiment, Figure 3 As shown, the present 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 through 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] The processor 1 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the present embodiment. The memory 2 may include a high-speed RAM memory, or may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor 1 executes at least one computer program instruction to implement the steps shown in the embodiment of the ship cold source system control method.

[0185] Corresponding to the above method embodiment, the present application also provides a computer-readable storage medium, on which computer program instructions are stored. When one or more computer program instructions are executed by a processor, the steps shown in the ship cold source system control method embodiment are implemented.

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

[0187] Corresponding to the above method embodiment, the present application also provides a computer program product, and when the instructions in the computer program product are executed by a processor, the steps shown in the ship cold source system control method embodiment are implemented.

[0188] The above description is only the preferred embodiment of the present application and is not intended to limit 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 protection scope of the present application.

Claims

1. A method for controlling a ship cooling system, characterized in that: include: S1. Establish ship database; The ship database includes ship configuration information of a plurality of reference ships and cold source operation data corresponding to the reference ships; S2. Input the ship configuration information of the target ship; S3, based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, evaluating the similarity between the target ship and the reference ship in the ship database, and determining a group of similar ships that are in a similar range to the target ship; S4, establishing a cold source operation strategy for the target ship based on the cold source operation data of a group of similar ships; S5. Based on the cold source operation strategy, a control reference for the cold source system equipment parameters of the target ship is provided.

2. The ship cooling system control method according to claim 1, characterized in that: The ship configuration information includes at least the number of equipment, equipment rated parameters, designed cooling load, total cooling area, and ship type; the cold source operation data includes at least the type of equipment, equipment start and stop information, and equipment operation parameters.

3. The ship cooling system control method according to claim 2, characterized in that: In step S3, based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, evaluating the similarity between the target ship and the reference ship in the ship database, and determining a group of similar ships within a similar range to the target ship includes the following steps: S31, generating ship characteristics of the target ship and the reference ship based on the ship configuration information; S32, normalizing the ship characteristics of the target ship and the ship characteristics of the reference ship; S33, calculating the similarity between the target ship and the reference ships in the ship database; S34. Determine a group of similar ships that are most similar to the target ship from a ship database based on the similarity of the ships.

4. The ship cooling system control method according to claim 3, characterized in that: The calculation process of the ship characteristics of the target ship or any reference ship in step S31 includes the following steps: Calculate the ratio α of the ship's design cooling load to the sum of the rated cooling capacity of the refrigeration machines in the cold source system: In the formula: Qe d is the design cooling load, kW; Qe0 is the sum of the rated cooling capacity of the chillers in the cold source system, kW; The ratio of the total refrigeration area of ​​the ship to the design cooling load is calculated and recorded as β: Where: A is the total cooling area, m 2 ; Determine the air conditioning system type γ, γ = 1, 2, 3 ... M; M is the code of the air conditioning system type determined according to the ship type; According to the fixed chilled water temperature difference and the rated refrigeration coefficient of the chiller, the design chilled water flow G is calculated according to the design cooling load. d_chw and design cooling water flow G d_cw ; Calculate the ratio of the designed chilled water flow rate to the sum of the rated flow rates of the chilled water pumps Calculate the ratio of the designed cooling water flow rate to the sum of the rated flow rates of the cooling water pumps Therefore, the ship characteristics of ship x are Similarly, the ship characteristics of the target ship 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; The ship characteristics of the reference ship and the target ship are denoted as X, that is:

5. The ship cooling system control method according to claim 4, characterized in that: The normalization process of the ship characteristics of the target ship and the ship characteristics of the reference ship in step S32 includes the following steps: Let the largest α in X be α max , the minimum α is denoted as α min , the maximum β is denoted as β max , the minimum β is denoted as β min , the maximum γ is denoted as γ max , the minimum γ is denoted as γ min ,maximum Recorded as Minimum Recorded as maximum Recorded as Minimum Recorded as For all α, β, γ, Perform normalization processing; including: Normalize the reference ship α: Where i = 1, 2, 3, ... N; Normalize the reference ship β: Where i = 1, 2, 3, ... N; Normalize to the reference ship γ: Where i = 1, 2, 3, ... N; For reference ships Perform normalization: Where i = 1, 2, 3, ... N; For reference ships Perform normalization: Where i = 1, 2, 3, ... N; Normalize the target ship α: Normalize the target ship β: Normalize the target ship γ: Target ship Perform normalization: Target ship Perform normalization: Therefore, after normalizing X, we get Right now:

6. The ship cooling system control method according to claim 5, characterized in that: Calculating the similarity between the target ship and the reference ship in the ship database in step S33 includes the following steps: Create a similarity expression S i =S i (x norm,i ,X norm,tar ), that is, the similarity between the target ship and the i-th reference ship is: Where: i = 1, 2, 3 ... N, is the weight of each parameter in the ship characteristics, Then the similarity between all reference ships in the ship database and the target ship is S = (S1, S2...S N ).

7. The ship cooling system control method according to claim 6, characterized in that: In step S34, determining a similar ship group most similar to the target ship from the ship database based on the similarity of the ships comprises the following steps: Set the number of similar ship groups to N s =min(N1,N2); where N1 is the set value, N2 = (5% to 15%)N, and N is the number of reference ships; Select N with the smallest similarity from S s S i The corresponding reference ships form a similar ship group, denoted as S s : The ship characteristics of a group of similar ships are denoted by 8. The ship cooling source system control method according to any one of claims 2 to 7, characterized in that: In step S4, establishing a cold source operation strategy for the target ship based on the cold source operation data of the similar ship group includes the following steps: S41, establish a cold source operation strategy expression F = ((T, B), (C, P)); its meaning is: in the T period, the outdoor temperature is in the B interval, it is recommended that the number of start and stop of each device is C, and the operation parameter is set to P; S42, according to the similar ship group determined in step S3, the cold source operation data of the similar ship group is screened out from the ship database as the cold source operation database D of the similar ship group, and the cold source operation data of each reference ship and each time period in the cold source operation database D is recorded as D j : D j =((T,B),(C,P)) j ; S43. According to different (T, B), the data in the cold source operation database D is classified, that is: Where: N r Represents the sum of the number of cold source operation data in the cold source operation database D of similar ship groups that conform to the current (T, B) combination.

9. The ship cooling system control method according to claim 8, characterized in that: In step S5, providing a control reference for the equipment parameters of the cold source system of the target ship based on the cold source operation strategy includes the following steps: Determine the actual sailing period and outdoor temperature of the target ship and obtain the (T r ,B r ); Determine (T, B) = (T r ,B r The cold source operation strategy of the target ship under ) 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 the majority, and the (C,P) with the largest number of occurrences in the (T,B) combination is taken as (C r ,P r ); According to F r =((T r ,B r ),(C r ,P r ))'s operation strategy gives (T r ,B r ) conditions.

10. A ship cooling system control system, characterized in that: include: A database module (10) includes a ship database, wherein the ship database includes ship configuration information of a plurality of reference ships and cold source operation data corresponding to the reference ships; An input module (20), used for inputting ship configuration information of a target ship; A similarity calculation module (30) is used to evaluate the similarity between the target ship and the reference ship in the ship database based on the ship configuration information of the target ship and the ship configuration information of the reference ship in the ship database, and determine a group of similar ships that are within a similar range to the target ship; A strategy establishment module (40), used to establish a cold source operation strategy for a target ship based on cold source operation data of a group of similar ships; The strategy execution module (50) is used to provide a control reference for the equipment parameters of the cold source system of the target ship based on the cold source operation strategy.

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