Subway refrigerating machine room control method based on adjacent working conditions

Abstract

The invention discloses a subway refrigerating machine room control method based on adjacent working conditions, and the method is characterized in that the method comprises the steps: S1) building a refrigerating machine room overall COP model, the refrigerating machine room overall COP model is built according to the historical operation parameters of a refrigerating machine room, and the refrigerating machine room overall COP model is used for representing the energy efficiency ratio; s2) acquiring a current working point parameter of the refrigerating machine room and acquiring an adjacent working point parameter set by taking the current working point parameter of the refrigerating machine room as a reference; s3) searching and storing a working point parameter with the maximum overall COP value of the refrigerating machine room in the adjacent working point parameter set by adopting an adjacent working point COP maximum value iterative algorithm; and S4) using the working point parameter with the maximum overall COP value of the refrigerating machine room to control the refrigerating machine room.

Description

Technical Field

[0001] The invention relates to the field of refrigeration room systems of subway station air-conditioning systems, and in particular to a control method for a subway refrigeration room based on adjacent working conditions. Background Art

[0002] The energy-saving control scheme for the refrigeration room system of the subway station air-conditioning system includes equipment energy-saving measures, system energy-saving measures, control energy-saving measures and management energy-saving measures. Among them, the traditional control energy-saving measures mainly adjust the system parameters dynamically according to certain rules based on the system operation status. The dynamic adjustment strategy mainly adopts the variable water temperature and variable flow strategy.

[0003] The variable water temperature control strategy refers to adjusting the operating parameters of the refrigeration system during partial load periods based on the annual changes in air-conditioning load. For example, appropriately increasing the chiller water supply temperature can improve the chiller's operating efficiency and reduce operating energy consumption.

[0004] Variable flow control strategies include constant pressure difference control and constant temperature difference control. Constant pressure difference control refers to regulating the chilled water flow by keeping the chilled water supply and return water pressure difference constant. The chilled water supply and return water pressure difference is detected by the pressure difference sensor installed on the chilled water system pipeline, and the measured pressure difference is compared with the set pressure difference. Then, according to the deviation between the two, PID control technology (PID control is a common control method for control systems, where PID represents three basic control parameters: proportion (P), integral (I), and differential (D). These three parameters together constitute the PID controller) is used to perform variable frequency control on the variable frequency chilled water pump, thereby regulating the flow of the chilled water pump. Constant temperature difference control refers to regulating the chilled water flow by keeping the chilled water supply and return water temperature difference constant. The chilled water supply and return water temperature difference is detected by the temperature sensor installed on the chilled water system pipeline, and the measured temperature difference is compared with the set temperature difference. Then, according to the deviation between the two, PID control technology is used to perform variable frequency control on the variable frequency chilled water pump, thereby regulating the flow of the chilled water pump.

[0005] Since the specific operation of the equipment is nonlinear, especially the operating characteristics of the chiller, the actual operating results often cannot meet the assumed conditions of the control parameters. Secondly, different systems have different delays, and it is difficult to find a PID adjustment strategy that is very suitable for the actual system. Once some parameters cannot meet expectations, and the parameters are strongly coupled, the entire strategy will actually deviate from the theoretical control range. As the system runs, the characteristics of each pipeline will change, and the performance of the equipment will also change, which will cause the original theoretical control to need to be adjusted. Traditional control schemes have deficiencies in various aspects.

[0006] In summary, the control and energy-saving measures of the refrigeration room system of the traditional subway station air-conditioning system are mainly dynamically adjusted according to certain rules based on the system operating parameters, which cannot achieve the goal of the highest overall energy efficiency. Summary of the invention

[0007] In order to solve the above problems, the purpose of this application is to provide a subway refrigeration room control method for determining the system operating parameters corresponding to the most efficient working point.

[0008] The embodiment of the present application provides a subway refrigeration room control method based on adjacent working conditions, including:

[0009] S1) establishing an overall COP model of a refrigeration room, wherein the overall COP model of the refrigeration room is established according to historical operating parameters of the refrigeration room, and the overall COP model of the refrigeration room is used to represent energy efficiency ratio;

[0010] S2) obtaining the current refrigeration room working point parameters and obtaining a collection of neighboring working point parameters based on the current refrigeration room working point parameters;

[0011] S3) using a neighboring working point COP maximum iteration algorithm to find and save the working point parameter with the maximum overall COP value of the refrigeration room in the neighboring working point parameter set;

[0012] S4) using the operating point parameter with the maximum overall COP value of the refrigeration room for refrigeration room control.

[0013] Furthermore, in the control method of the subway refrigeration room based on adjacent working conditions, the establishment of the overall COP model of the refrigeration room further comprises:

[0014] S11) establishing a historical data collection set according to the historical operating parameters, wherein the historical operating parameters include chilled water outlet temperature data, cooling water inlet temperature data, chilled water temperature difference data and cooling water temperature difference data, and the historical data collection set includes the COP value of the refrigeration room under the historical operating parameters;

[0015] S12) Establishing an overall COP model of the refrigeration room according to the historical data collection set.

[0016] Furthermore, in the subway refrigeration room control method based on adjacent working conditions, the overall COP model of the refrigeration room further includes a refrigeration unit model, a water pump model and a cooling tower model.

[0017] Furthermore, in the subway refrigeration room control method based on adjacent working conditions, the water pump model further includes a cooling water pump model and a freezing water pump model.

[0018] Furthermore, in the subway refrigeration room control method based on adjacent working conditions, the step of obtaining the adjacent working point parameter set further comprises:

[0019] S21) obtaining current refrigeration room operating point parameters, wherein the current refrigeration room operating point parameters include a chilled water temperature difference and a cooling water temperature difference;

[0020] S22) setting the chilled water temperature difference offset step and the cooling water temperature difference offset step;

[0021] S23) offsetting the chilled water temperature difference and the cooling water temperature difference according to the chilled water temperature difference offset step and the cooling water temperature difference offset step to obtain the set of adjacent operating point parameters.

[0022] Furthermore, the control method of a subway refrigeration room based on adjacent working conditions, the step S3) further comprises:

[0023] S31) solving the adjacent working point parameter set by using the overall COP model of the refrigeration room to obtain an overall COP data set of the refrigeration room adjacent working points;

[0024] S32) searching for the working point with the maximum COP in the overall COP data set of the refrigeration room near the working point;

[0025] S33) The parameters of the working point where the COP is maximum are saved.

[0026] The present application also provides a subway refrigeration room control device based on adjacent working conditions, including a memory and a processor;

[0027] The memory is used to store computer programs;

[0028] The processor is used to implement the above-mentioned subway refrigeration room control method based on adjacent working conditions when executing the computer program.

[0029] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the subway refrigeration room control method based on adjacent working conditions as described above is implemented.

[0030] The technical solution provided by the embodiment of the present application has the following advantages:

[0031] 1. The overall COP model of the computer room is established by using historical operation data, which can better reflect the overall situation of the computer room;

[0032] 2. Due to the use of a collection of parameters of adjacent working points, the system operating parameters corresponding to the most efficient working point can be determined more quickly, which has the characteristics of small calculation amount and fast system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flow chart of a subway refrigeration room control method based on adjacent working conditions preferred in an embodiment of the present invention;

[0034] Figure 2 A schematic diagram of a preferred adjacent working point in an embodiment of the present invention;

[0035] Figure 3 A schematic diagram of a specific application embodiment of a subway refrigeration room control method based on adjacent working conditions using the preferred embodiment of the present invention;

[0036] Figure 4 A flowchart of an iterative algorithm for the maximum COP value of a neighboring working point is shown for a specific application embodiment of the preferred subway refrigeration room control method based on neighboring working conditions of the present invention;

[0037] Figure 5 The operating flow chart is a specific application example of the preferred subway refrigeration room control method based on adjacent working conditions of the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical scheme and advantages of the implementation of this application clearer, the technical scheme in the embodiment of this application will be described in more detail below in conjunction with the drawings in the embodiment of this application. In the drawings, the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions. The described embodiments are part of the embodiments of this application, not all of them. The embodiments described below with reference to the drawings are exemplary and are intended to be used to explain this application, and should not be construed as limitations on this application. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0039] In addition, it should be noted that, unless otherwise clearly specified and limited, the words "installed", "connected", "connected" and similar terms used in the description of this application should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or the internal connection of two components. Technical personnel in the field can understand their specific meanings in this application according to the specific circumstances.

[0040] Figure 1 The following is a flow chart of a subway refrigeration room control method based on adjacent working conditions, which is preferred in an embodiment of the present invention. Figure 1 As shown, the control method of the subway refrigeration room based on the adjacent working conditions includes:

[0041] S1) Establish an overall COP model for the refrigeration machine room. The overall COP model for the refrigeration machine room is established based on the historical operation parameters of the refrigeration machine room, and the overall COP model for the refrigeration machine room is used to represent the energy efficiency ratio. COP is an important parameter for the performance of the refrigeration system, representing the energy efficiency of the refrigeration system. The full name of COP is "Coefficient of Performance" (performance coefficient), which is defined as the ratio of the refrigeration effect provided by the system to the energy consumed.

[0042] S2) Obtain the current operating point parameters of the refrigeration machine room and obtain a set of adjacent operating point parameters based on the current operating point parameters of the refrigeration machine room;

[0043] S3) Use the adjacent operating point COP maximum value iteration algorithm to find and save the operating point parameters with the maximum overall COP value of the refrigeration machine room in the set of adjacent operating point parameters;

[0044] S4) Use the operating point parameters with the maximum overall COP value of the refrigeration machine room for the control of the refrigeration machine room.

[0045] The following further describes the preferred subway refrigeration machine room control method based on adjacent operating conditions in conjunction with the accompanying drawings.

[0046] Step S1) Establish an overall COP model for the refrigeration machine room. The overall COP model for the refrigeration machine room is established based on the historical operation parameters of the refrigeration machine room, and the overall COP model for the refrigeration machine room is used to represent the energy efficiency ratio.

[0047] Furthermore, establishing the overall COP model for the refrigeration machine room further includes:

[0048] S11) Establish a historical data collection set according to the historical operation parameters. The historical operation parameters include chilled water outlet temperature data, cooling water inlet temperature data, chilled water temperature difference data, and cooling water temperature difference data. The historical data collection set includes the COP value of the refrigeration machine room under the historical operation parameters;

[0049] S12) Establish an overall COP model for the refrigeration machine room according to the historical data collection set.

[0050] Furthermore, the overall COP model for the refrigeration machine room further includes a refrigeration unit model, a water pump model, and a cooling tower model.

[0051] Furthermore, the water pump model further includes a cooling water pump model and a chilled water pump model.

[0052] Specifically, according to the changes of the selected parameters and environmental parameters, the coarse-grained corresponding parameter operation system is selected, and the operation parameters are recorded, so as to obtain the historical operation parameters of the machine room. In this embodiment, the parameters can be obtained by the following method: after selecting a working point, the parameters are controlled according to a number of steps to obtain an operation parameter set, and then the operation system is recorded to actually obtain the COP value under each parameter. After obtaining the operation parameter set, environmental parameters and corresponding COP values, the overall COP model of the refrigeration room can be obtained by means such as using the least squares fitting method.

[0053] Step S2) obtaining the current refrigeration room working point parameters and obtaining a collection of neighboring working point parameters based on the current refrigeration room working point parameters.

[0054] Further, obtaining a set of neighboring working point parameters further includes:

[0055] S21) obtaining current refrigeration room operating point parameters, wherein the current refrigeration room operating point parameters include a chilled water temperature difference and a cooling water temperature difference;

[0056] S22) setting the chilled water temperature difference offset step and the cooling water temperature difference offset step;

[0057] S23) offsetting the chilled water temperature difference and the cooling water temperature difference according to the chilled water temperature difference offset step and the cooling water temperature difference offset step to obtain the set of adjacent operating point parameters.

[0058] In this preferred embodiment, two parameters (chilled water temperature difference and cooling water temperature difference) can be used to simply describe the principle of adjacent working points as follows:

[0059] Figure 2 Schematic diagram of the preferred adjacent working points in the embodiment of the present invention. Figure 2 As shown, the X direction represents the chilled water temperature difference, increasing from left to right, and the Y direction represents the cooling water temperature difference, increasing from bottom to top. The horizontal interval is called the step length of the chilled water temperature difference, and the vertical interval is called the step length of the cooling water temperature difference. The center point O in the figure is the current operating state, and the adjacent ABCDEFGH are adjacent operating conditions. First, define the condenser (cooling water) inlet water temperature (T_Cw_In), the evaporator (chilled water) outlet water temperature (T_Chw_Out), the condenser (cooling water) inlet and outlet water temperature difference (ΔT_Cw), and the evaporator (chilled water) supply and return water temperature difference (ΔT_Chw). If we use (ΔT_Chw, ΔT_Cw) to describe the current operating parameters of point O, then the operating parameters of the A point operating condition are (ΔT_Chw-δChw, ΔT_Cw+δCw), and the same applies to other adjacent operating conditions.

[0060] According to the parameters selected in this scheme, the adjacent working point can be described as a four-dimensional space point as follows:

[0061] (T_Chw_Out,T_Cw_In,ΔT_Chw,ΔT_Cw);

[0062] The chilled water temperature difference and the cooling water temperature difference may be offset according to the chilled water temperature difference offset step and the cooling water temperature difference offset step to obtain the adjacent working point parameter set.

[0063] Step S3) Adopting the neighboring working point COP maximum iteration algorithm to find and save the working point parameter with the maximum overall COP value of the refrigeration room in the neighboring working point parameter set.

[0064] Further, step S3) further comprises:

[0065] S31) solving the adjacent working point parameter set by using the overall COP model of the refrigeration room to obtain an overall COP data set of the refrigeration room adjacent working points;

[0066] S32) searching for the working point with the maximum COP in the overall COP data set of the refrigeration room near the working point;

[0067] S33) The parameters of the working point where the COP is maximum are saved.

[0068] Specifically, the established overall COP of the refrigeration room is used as a calculation model, whose input is the possible adjacent working conditions of the next control cycle, and the output is the COP value corresponding to the adjacent working conditions. The COP values ​​of these adjacent working conditions are compared to determine the optimal COP value. Finally, the optimization variables corresponding to the optimal COP of the control strategy are determined - chilled water outlet temperature, cooling water inlet temperature, chilled water temperature difference and cooling water temperature difference. On this basis, the chilled water pump, cooling tower and cooling water pump are adjusted so that each parameter reaches the target optimization value.

[0069] The present invention also discloses a subway refrigeration room control device based on adjacent working conditions, comprising a memory and a processor;

[0070] The memory is used to store computer programs;

[0071] The processor is used to implement the above-mentioned subway refrigeration room control method based on adjacent working conditions when executing the computer program.

[0072] The present invention also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned subway refrigeration room control method based on adjacent working conditions is implemented.

[0073] Figure 3 Schematic diagram of a specific application embodiment of the preferred subway refrigeration room control method based on adjacent working conditions of the present invention. Figure 3 As shown, a model is established for the refrigeration room data center based on the selected historical data and environmental parameters.

[0074] Overall COP model of refrigeration room:

[0075]

[0076] E total =E ch +E cwp +E chwp +E ctf ;

[0077] Among them, Q c is the cooling capacity of the computer room, E ch 、E cwp 、E chwp 、E ctf 、E total They are the energy consumption of the refrigeration unit, cooling water pump, chilled water pump, cooling tower fan and the overall energy consumption of the refrigeration room.

[0078] Refrigeration unit model:

[0079] The calculation expression of the ratio of cooling capacity to nominal cooling capacity Capratio is:

[0080]

[0081] in,

[0082]

[0083] T cond,in is the condenser water inlet temperature, T cond,in,design It is the condenser water inlet temperature under design conditions. The preferred value in this embodiment is 29.44. The specific value of this parameter is not critical. Different values ​​will only lead to different coefficients of the model.

[0084] T evap,out is the evaporator outlet water temperature, T evap,out,design It is the evaporator outlet water temperature under design conditions. In this embodiment, the preferred value is 6.667. The specific value of this parameter is not critical. Different values ​​will only lead to different coefficients of the model.

[0085] ΔT cw,nominal is the cooling water temperature difference at nominal cooling capacity, ΔT chw,nominal is the chilled water temperature difference at nominal cooling capacity.

[0086] ΔT chiller is the comprehensive temperature difference of the refrigeration unit, and TempRiseRatio is the temperature rise ratio.

[0087] A1, A2, and A3 are fitting coefficients.

[0088] Based on historical data

[0089]

[0090] The ratio of power under full load operation to rated power PowerRatio

[0091] PowerRatio=B 1 +B 2 PLR+B 3 PLR 2 ;

[0092] in,

[0093]

[0094] PowerRatio is the ratio of power to rated power under full load operating conditions;

[0095] B1 and B2 are fitting coefficients;

[0096] ChillerCoolingLoad is the cooling load borne by the refrigeration unit;

[0097] NominalChillerCapacityNominal cooling capacity;

[0098] PLR refrigeration unit part load rate.

[0099] Based on historical data

[0100] PowerRatio=1.6792PLR 2 -6.4553PLR+6.7514;

[0101] The ratio of the actual cooling load of the refrigeration unit to the cooling load of the refrigeration unit under full load operation

[0102]

[0103] ActualCoolingLoad is the actual cooling load borne by the refrigeration unit;

[0104] FullCoolingLoad is the cooling load borne by the refrigeration unit under full load operation conditions;

[0105] In actual operation, the model can be simplified, and the cooling capacity and cooling load are equal, that is,

[0106] LoadRatio = Capacity;

[0107] The calculation formula of the cooling capacity of the refrigeration unit is as follows:

[0108] Q=AvailableChillerCapacity*PLR;

[0109] Among them, AvailableChillerCapacity is the available refrigeration capacity;

[0110] The power is calculated as follows:

[0111]

[0112] Where RateCOP is the nominal COP.

[0113] Water pump model:

[0114] Full load power fraction curve

[0115] FractionFullLoadPower=C 1 +C 2 PLR+C 3 PLR 2 +C 4 PLR 3 ;

[0116] in,

[0117]

[0118] VolFlowRate is the actual water flow rate;

[0119] FractionFullLoadPower is the actual power of the pump;

[0120] NomVolFlowRate is the rated water flow rate;

[0121] C 1 , C2, C3, and C4 are fitting coefficients.

[0122] According to historical data, for cooling water pumps

[0123] FractionFullLoadPower=0.2926PLR 3 +0.6415PLR 2 -0.3593PLR+0.1306;

[0124] For chilled water pumps;

[0125] FractionFullLoadPower chwp =-3.1687PLR 3+11.427PLR 2 -12.088PLR+4.2066;

[0126] The water pump power is calculated as follows:

[0127] Power=FractionFullLoadPower*NominalPower;

[0128] Among them, NominalPower is the nominal power.

[0129] Cooling tower model

[0130] The energy consumption of the cooling tower in this embodiment is a rated power of 10 kW.

[0131] Overall COP of refrigeration room

[0132] The power consumption of the refrigeration unit, cooling water pump, chilled water pump, and cooling tower has been determined above. The overall COP of the refrigeration room can be determined by dividing the cooling capacity by the total power consumption:

[0133]

[0134] Among them, P ch Refrigeration unit power consumption;

[0135] P cwp is the power consumption of the cooling water pump;

[0136] P chwp is the power consumption of the chilled water pump;

[0137] P ctf is the power consumption of the cooling tower.

[0138] Figure 4 The flowchart of the iterative algorithm for the maximum COP value of the adjacent working point is shown in the specific application embodiment of the preferred subway refrigeration room control method based on adjacent working conditions of the present invention. After the model is established according to the selected historical data and environmental parameters, Figure 4As shown, the parameters of the current working point O are initialized; then the four-dimensional adjacent working points are initialized according to the current working point parameter value and each parameter range, and the maximum and minimum values ​​of the four-dimensional parameters are used as the calculation boundaries, and the calculation identifier of the effective range is identified according to the set step size (the step size is set to 0.5 in this scheme); then the COP value of the four-dimensional adjacent working point space within the effective range is calculated according to the model; the working point with the largest COP is found; the COP of all four-dimensional adjacent working point spaces is iteratively calculated until the maximum COP value is found. Wherein the iterative calculation of the COP of all four-dimensional adjacent working point spaces may further include initializing the working point with the largest COP to the current working point and iterating again if the COP of the current working point O is not the maximum or the current working point with the maximum COP is not in the constraint condition (comparison threshold), otherwise, the relevant parameters are saved for standby, and the end is ended. The preferred operating constraints of this embodiment include the basic requirements for ensuring the normal operation of the refrigeration room, and the parameter control setting restrictions for COP optimization and update (such as the evaporator outlet water temperature limit of the refrigeration unit, the minimum flow limit of the host, the upper and lower limits of the pump frequency, the upper and lower limits of the cooling tower fan frequency, etc.).

[0139] Figure 5 The operation flow chart is a specific application example of the preferred subway refrigeration room control method based on adjacent working conditions of the present invention. As shown in Figure 5, the system can switch the mode to the adjacent working point mode when it is in operation; then the host and water pump control modes are switched to the traditional mode with variable flow. In this embodiment, it is preferred to check whether it has been running for half an hour. If so, the new results of the model are calculated, and then the control parameters of the host and water pump are set to the values ​​of the model calculation results. After the system has been running for a specified time, it is checked whether there is an adjacent working point. If not, the program ends. In this embodiment, the calculation process is performed every 15 minutes (the frequency of control parameter setting can be set), which can ensure that the system does not change the operating parameters too frequently, and also plays a role in timely optimization.

[0140] The positive and progressive effect of the present invention is that the calculation model can more accurately determine the optimized operating parameters corresponding to the optimal COP value of each control cycle based on historical operating data, and set each parameter to an optimized value to improve the energy efficiency of the refrigeration room and reduce energy consumption.

[0141] Those skilled in the art will appreciate that information, signals, and data may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips cited throughout the above description may be represented by voltage, current, electromagnetic waves, magnetic fields or magnetic particles, optical fields or optical particles, or any combination thereof.

[0142] Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or a combination of the two. To clearly illustrate this interchangeability of hardware and software, various illustrative components, boxes, modules, circuits, and steps are generally described above in the form of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. The technician can implement the described functionality in different ways for each specific application, but such implementation decisions should not be interpreted as resulting in a departure from the scope of the present application.

[0143] The various illustrative logic modules and circuits described in conjunction with the embodiments disclosed herein may be implemented or executed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in cooperation with a DSP core, or any other such configuration.

[0144] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software module may reside in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read and write information from / to the storage medium. In an alternative, a storage medium may be integrated into a processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and the storage medium may reside in a user terminal as discrete components.

[0145] In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented as a computer program product in software, each function may be stored on or transmitted by a computer-readable medium as one or more instructions or codes. Computer-readable media include both computer storage media and communication media, including any medium that facilitates the transfer of a computer program from one place to another. Storage media may be any available medium that can be accessed by a computer. As an example and not limitation, such a computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer. Any connection is also properly referred to as a computer-readable medium. For example, if the software is transmitted from a website, a server, or other remote source using a coaxial cable, a fiber optic cable, a twisted pair, a digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included in the definition of the medium. Disk and disc as used herein include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, wherein disk often reproduces data magnetically, while disc reproduces data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0146] The above embodiments are provided for persons familiar with the art to implement or use the present application. Personnel familiar with the art can make various modifications or changes to the above embodiments without departing from the application concept of the present application. Therefore, the protection scope of the present application is not limited to the above embodiments, but should be the maximum scope of the innovative features mentioned in the claims.

Claims

1. A control method for a subway refrigeration room based on adjacent working conditions. It is characterized in that include: S1) establishing an overall COP model of a refrigeration room, wherein the overall COP model of the refrigeration room is established according to historical operating parameters of the refrigeration room, and the overall COP model of the refrigeration room is used to represent energy efficiency ratio; S2) obtaining the current refrigeration room working point parameters and obtaining a collection of neighboring working point parameters based on the current refrigeration room working point parameters; S3) using a neighboring working point COP maximum iteration algorithm to find and save the working point parameter with the maximum overall COP value of the refrigeration room in the neighboring working point parameter set; S4) using the operating point parameter with the maximum overall COP value of the refrigeration room for refrigeration room control.

2. According to claim 1, the control method of the subway refrigeration room based on the adjacent working conditions, It is characterized in that The establishing of the overall COP model of the refrigeration room further comprises: S11) establishing a historical data collection set according to the historical operating parameters, wherein the historical operating parameters include chilled water outlet temperature data, cooling water inlet temperature data, chilled water temperature difference data and cooling water temperature difference data, and the historical data collection set includes the COP value of the refrigeration room under the historical operating parameters; S12) Establishing an overall COP model of the refrigeration room according to the historical data collection set.

3. According to claim 3, the control method of the subway refrigeration room based on the adjacent working conditions, It is characterized in that The overall COP model of the refrigeration room further includes a refrigeration unit model, a water pump model and a cooling tower model.

4. The control method of a subway refrigeration room based on adjacent working conditions according to claim 2, It is characterized in that The water pump model further includes a cooling water pump model and a freezing water pump model.

5. According to claim 1, the control method of the subway refrigeration room based on the adjacent working conditions, It is characterized in that The obtaining of a set of neighboring working point parameters further comprises: S21) obtaining current refrigeration room operating point parameters, wherein the current refrigeration room operating point parameters include a chilled water temperature difference and a cooling water temperature difference; S22) setting the chilled water temperature difference offset step and the cooling water temperature difference offset step; S23) offsetting the chilled water temperature difference and the cooling water temperature difference according to the chilled water temperature difference offset step and the cooling water temperature difference offset step to obtain the set of adjacent operating point parameters.

6. The subway refrigeration room control method based on adjacent working conditions according to claim 1, It is characterized in that The step S3) further comprises: S31) solving the adjacent working point parameter set by using the overall COP model of the refrigeration room to obtain an overall COP data set of the refrigeration room adjacent working points; S32) searching for the working point with the maximum COP in the overall COP data set of the refrigeration room near the working point; S33) The parameters of the working point where the COP is maximum are saved.

7. A subway refrigeration room control device based on adjacent working conditions, It is characterized in that including memory and processor; The memory is used to store computer programs; The processor is used to implement the subway refrigeration room control method based on adjacent working conditions as described in any one of claims 1 to 6 when executing the computer program.

8. A computer-readable storage medium, It is characterized in that The storage medium stores a computer program, and when the computer program is executed by the processor, the control method of a subway refrigeration room based on adjacent working conditions as described in any one of claims 1 to 6 is implemented.

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