Refrigerant direct cooling control method, system and equipment and readable storage medium

Abstract

The invention provides a refrigerant direct cooling control method, system and device and a readable storage medium, and relates to the technical field of refrigerant direct cooling control, the method comprises the steps that environment temperature information and laser power conversion information are obtained, and the environment temperature information is collected through an environment temperature sensor; calculating the environment temperature information through a preset first correction model to obtain a heat influence coefficient; the environment temperature information and the heat influence coefficient are calculated through a compressor frequency control model, and compressor frequency information is obtained; calculating the laser power conversion information through a preset flow model to obtain expansion valve flow information; the flow information of the expansion valves is calculated through a preset opening degree model, and opening degree information of the expansion valve set is obtained; and the frequency information of the compressor and the opening information of the expansion valve group are subjected to PID adjustment. The control method is high in response speed, small in control error and capable of achieving accurate temperature control.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigerant direct cooling control, and in particular to a refrigerant direct cooling control method, system, device and readable storage medium. Background Art

[0002] In the existing refrigerant direct cooling control method, PID adjustment method or the combination of fuzzy control and PID adjustment method is generally adopted. For the PID adjustment method, the control of the valve is based on the feedback control of the evaporator inlet and outlet temperature sensors and the cold plate temperature sensor, and the control of the fan is based on the condenser temperature feedback control. In this method, when the sensor data has a lag or the control variable has a sudden change, it is difficult for PID to achieve accurate control; for the combination of fuzzy control and PID adjustment method, the fuzzy control needs to go through a large number of experiments to obtain some empirical values ​​as the input information of the fuzzy control, and the PID adjustment is entered after the fuzzy control stage. When the response data lags or the response data error is large, the PID adjustment speed is slow and the control error is large, and accurate temperature control cannot be achieved. In addition, this method also requires accurate empirical parameters, which consumes a lot of time for empirical parameter testing, greatly lengthening the product development cycle. Summary of the invention

[0003] The object of the present invention is to provide a refrigerant direct cooling control method, system, device and readable storage medium, which solves the problem of inaccurate temperature control caused by large response data error in the method of combining fuzzy control and PID regulation. The technical solution adopted by the present invention is as follows:

[0004] In a first aspect, the present application provides a refrigerant direct cooling control method, the method comprising:

[0005] Acquiring ambient temperature information and laser power conversion information, wherein the ambient temperature information is collected by an ambient temperature sensor;

[0006] Calculating the ambient temperature information through a preset first correction model to obtain a heat influence coefficient;

[0007] Calculating the ambient temperature information and the heat impact coefficient through a compressor frequency control model to obtain compressor frequency information;

[0008] The laser power conversion information is calculated by a preset flow model to obtain expansion valve flow information, wherein the flow model includes a main valve flow model and an unloading model;

[0009] The expansion valve flow information is calculated by a preset opening model to obtain the opening information of the expansion valve group, wherein the opening model includes a main valve opening model and an auxiliary valve opening model;

[0010] PID adjustment is performed on the compressor frequency information and the opening information of the expansion valve group respectively.

[0011] In a second aspect, the present application also provides a refrigerant direct cooling control system, the system comprising:

[0012] A first acquisition module is used to acquire ambient temperature information and laser power conversion information, wherein the ambient temperature information is collected by an ambient temperature sensor;

[0013] A first calculation module, used to calculate the ambient temperature information through a preset first correction model to obtain a heat influence coefficient;

[0014] A second calculation module is used to calculate the ambient temperature information and the heat influence coefficient through a compressor frequency control model to obtain compressor frequency information;

[0015] A third calculation module, used to calculate the laser power conversion information through a preset flow model to obtain expansion valve flow information, wherein the flow model includes a main valve flow model and an unloading model;

[0016] a fourth calculation module, configured to calculate the expansion valve flow information through a preset opening model to obtain the opening information of the expansion valve group, wherein the opening model includes a main valve opening model and an auxiliary valve opening model;

[0017] The regulating module is used to perform PID regulation on the compressor frequency information and the opening information of the expansion valve group respectively.

[0018] In a third aspect, the present application also provides a refrigerant direct cooling control device, comprising:

[0019] Memory for storing computer programs;

[0020] A processor is used to implement the steps of the refrigerant direct cooling control method when executing the computer program.

[0021] In a fourth aspect, the present application further provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned refrigerant direct cooling control method are implemented.

[0022] The beneficial effects of the present invention are:

[0023] In this control method, multiple mathematical models are introduced to calculate to obtain the initial values ​​corresponding to the compressor frequency information and the opening information of the expansion valve group, and then PID adjustment is performed according to the initial values ​​with higher accuracy, which further ensures the accuracy of data calculation, avoids fuzzy calculations through a large amount of experimental or empirical data, and reduces the product development cycle; in addition, the initial values ​​after calculation improve the response adjustment accuracy of the compressor frequency and the expansion valve group, and avoid the problem of inaccurate temperature control caused by large response data errors. This control method has a fast response speed and a small control error, and can achieve precise temperature control.

[0024] Other features and advantages of the present invention will be set forth in the following description, and in part will become apparent from the description, or may be understood by practicing embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention 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 creative work.

[0026] Figure 1 Schematic diagram of the process of the refrigerant direct cooling control method described in an embodiment of the present invention;

[0027] Figure 2 Schematic diagram of the structure of the refrigerant direct cooling control system described in an embodiment of the present invention;

[0028] Figure 3 It is a structural schematic diagram of the refrigerant direct cooling control device described in an embodiment of the present invention;

[0029] Markings in the figure:

[0030] 1. Acquisition module; 2. First calculation module; 3. Second calculation module; 4. Third calculation module; 5. Fourth calculation module; 6. Adjustment module; 41. First calculation unit; 42. Second calculation unit; 43. Third calculation unit; 44. Fourth calculation unit; 45. Generation unit; 800. Refrigerant direct cooling control device; 801. Processor; 802. Memory; 803. Multimedia component; 804. I / O interface; 805. Communication component. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0032] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0033] Embodiment 1:

[0034] This embodiment provides a refrigerant direct cooling control method.

[0035] See also Figure 1 , the figure shows that the method includes steps S1 to S6, specifically:

[0036] S1: Acquire ambient temperature information and laser power conversion information, wherein the ambient temperature information is collected by an ambient temperature sensor;

[0037] In step S1, the ambient temperature sensor is set in a preset cooling device, and the cooling device is specifically: the compressor, microchannel condenser, main electronic expansion valve, auxiliary electronic expansion valve, and cold plate are connected in sequence through copper tubes, the cooling system controller is electrically connected to the microchannel condenser, the cold plate and the compressor, the fan is electrically connected to the microchannel condenser, a heating device such as a laser is arranged on the cold plate, a cold plate temperature sensor is arranged on the cold plate, and an ambient temperature sensor is externally connected to the cooling system controller. When the cooling device is working: the heat of the heating device is transferred to the compressor, the microchannel condenser, the main electronic expansion valve, and the auxiliary electronic expansion valve through the cold plate, the heat of the heating device is transferred to the refrigerant through the cold plate, the refrigerant generates evaporation and absorbs heat, the gas generated by evaporation is compressed by the compressor to become high-pressure gas and circulate to the microchannel condenser, and the gas heat is transferred to the fins of the microchannel condenser, the fan external to the microchannel condenser forces the air to flow through the fins to take away the heat, so that the refrigerant generates condensation, and then flows to the cold plate through the main electronic expansion valve to form a cooling cycle, and in addition, the high-pressure gas is adjusted through the auxiliary electronic expansion valve to adjust the refrigeration capacity.

[0038] The microchannel condenser used in the cooling device has higher heat dissipation efficiency and faster response than the traditional copper tube condenser, which can improve the response speed of the system.

[0039] S2: Calculate the ambient temperature information through a preset first correction model to obtain a thermal impact coefficient; the thermal impact coefficient represents the thermal impact of the environment on the device as the temperature rises.

[0040] In step S2, the first correction model is:

[0041] a=s 1 ×T+0.8; (1)

[0042] In the above formula (1), a represents the thermal influence coefficient, T represents the ambient temperature information, and s 1 Represents the first constant, where s 1 <0.2, preferably s 1 Take 0.01, 0.8 to represent the preset constant.

[0043] The introduction of step S2 takes into account the thermal impact on the device when the temperature rises, thereby improving the control error.

[0044] S3: Calculating the ambient temperature information and the heat impact coefficient through a compressor frequency control model to obtain compressor frequency information;

[0045] In step S3, the compressor frequency control model is:

[0046] f=(k 1 ×T+b 1 )×a; (2)

[0047] In the above formula (2), f represents the compressor frequency information, T represents the ambient temperature information, a represents the thermal influence coefficient, k 1 and b 1 It indicates the preset parameter value obtained when the linear relationship simulation is performed according to the collected compressor frequency information and the collected ambient temperature information when the compressor cooling capacity is different preset cooling capacity.

[0048] S4: Calculating the laser power conversion information through a preset flow model to obtain expansion valve flow information, wherein the flow model includes a main valve flow model and an unloading model;

[0049] In step S4, in order to clarify the specific calculation process of the expansion valve flow information, step S4 includes S41-S45, specifically:

[0050] S41: Calculating the laser power conversion information through a preset second correction model to obtain a power correction coefficient;

[0051] In step S41, the second correction model is:

[0052]

[0053] In the above formula (3), c represents the power correction coefficient, m represents the laser power conversion information, and s 2 Indicates the percentage of heat generated by the compressor during laser operation, s 3 The percentage of heat generated by the compressor when the laser is not indicated.

[0054] Preferably, the percentage of heat generated by the compressor when the laser is on is 80%, and the percentage of heat generated by the compressor when the laser is not on is 20%.

[0055] S42: Calculating the ambient temperature information and the power correction coefficient through a main valve flow model to obtain main valve flow information;

[0056] In step S42, the main valve flow model is:

[0057] L 1 =(k 2 ×T+b 2 )×c; (4)

[0058] In the above formula (4), L 1 represents the main valve flow information, T represents the ambient temperature information, c represents the power correction coefficient, k 2 and b 2 It indicates the preset parameter value obtained by simulating the linear relationship between the collected ambient temperature information and the main valve flow information.

[0059] S43: Calculating the laser power conversion information through a preset third correction model to obtain a bypass unloading coefficient;

[0060] In step S43, the third correction model is:

[0061] n=0.8×(1-m)+0.2; (5)

[0062] In the above formula (5), n represents the bypass unloading coefficient, m represents the laser power conversion information, and 0.8 and 0.2 are both preset constants. Formula (5) shows that in the bypass, when the laser power conversion rate is 100%, the bypass unloading coefficient is 0.2, which is the adjustment margin reserved by the system; when the laser power conversion rate is 0, the bypass unloading coefficient is 1, which is the state when the bypass unloading flow is maximum.

[0063] S44: Calculating the compressor frequency information and the bypass unloading coefficient through an unloading model to obtain unloading flow information;

[0064] In step S44, the uninstall model is:

[0065]

[0066] In the above formula (6), L 2 represents the unloading flow information, f represents the compressor frequency information, n represents the bypass unloading coefficient, G 1 represents the pressure information collected by the high-pressure sensor set between the cooling system controller and the microchannel condenser, G 2 Indicates the pressure information collected by the low-pressure sensor installed between the cooling system controller and the cold plate.

[0067] In this control method, on the one hand, pressure information collected by the high-pressure sensor between the cooling system controller and the microchannel condenser is collected, and on the other hand, pressure information collected by the low-pressure sensor between the cooling system controller and the cold plate is also collected. By collecting pressure information in real time, the pressure response is faster, which can greatly improve the response speed of the system, ensure the calculation accuracy, and avoid fuzzy calculations through a large amount of experimental or empirical data.

[0068] S45: Construct expansion valve flow information according to the main valve flow information and the unloading flow information.

[0069] S5: Calculating the expansion valve flow information through a preset opening model to obtain the opening information of the expansion valve group, wherein the opening model includes a main valve opening model and an auxiliary valve opening model;

[0070] In step S5, in order to respectively determine the specific calculation process of the main valve flow information and the unloading flow information, the expansion valve flow information includes the main valve flow information and the unloading flow information, and step S5 includes S51-S53, specifically:

[0071] S51: Calculating the main valve flow information through a preset main valve opening model to obtain main valve opening information;

[0072] In step S51, the main valve opening model is:

[0073] d 1 =3×L 1 ×s 4 ; (7)

[0074] In the above formula (7), d 1 Indicates the main valve opening information, L 1 Indicates the main valve flow information, s 4 Indicates the safety factor, preferably s 4 Take 1.1.

[0075] S52: Calculating the unloading flow information through a preset auxiliary valve opening model to obtain auxiliary valve opening information;

[0076] In step S52, the auxiliary valve opening model is:

[0077]

[0078] In the above formula (8), L 2 Indicates the uninstall traffic information, d 2 Indicates the auxiliary valve opening information, k 3 , k 4 , k 5 、b 4 、b 5 Both represent the preset parameter values ​​obtained by simulating the linear relationship between the collected unloading flow and the auxiliary valve opening. 3 As a group, k 4 and b 4 For a group, k 5 and b 5 is a group, and the constraints are: k 4 >k 5 , b 4 <b 5 .

[0079] S53: Constructing the opening information of the expansion valve group according to the main valve opening information and the auxiliary valve opening information.

[0080] S6: Perform PID adjustment on the compressor frequency information and the opening information of the expansion valve group respectively.

[0081] In this control method, multiple mathematical models are introduced to calculate to obtain the initial values ​​corresponding to the compressor frequency information and the opening information of the expansion valve group, and then PID adjustment is performed according to the initial values ​​with higher accuracy, which further ensures the accuracy of data calculation. In step S6, the real-time frequency of the compressor is adjusted to the value corresponding to the compressor frequency information, and then PID adjustment is performed; the real-time opening of the main valve in the expansion valve group is adjusted to the value corresponding to the main valve opening information, and then PID adjustment is performed; the real-time opening of the auxiliary valve in the expansion valve group is adjusted to the value corresponding to the auxiliary valve opening information, and then PID adjustment is performed. Since the initial value after calculation improves the response adjustment accuracy of the compressor frequency and the expansion valve group, and avoids response lag to affect the temperature control accuracy, the control method has a fast response speed, a small control error, and can achieve precise temperature control.

[0082] After step S6, in order to accurately adjust the heat dissipation of the fan, steps S71 to S74 are included, specifically:

[0083] S71: Obtaining output power information of the laser and heat generation information of the compressor;

[0084] S72: Calculating the output power information of the laser through a preset conversion model to obtain the heating power information of the laser;

[0085] In step S72, the conversion model is:

[0086]

[0087] In the above formula (9), P 1 Indicates the heat power information of the laser, P 0 Indicates the output power information of the laser, w 1 Indicates the power conversion efficiency, w 2 represents the electro-optical conversion efficiency, w 3 represents the efficiency of converting pump light into laser. 1 Prioritize 90%-93%, w 2 Priority is given to 45%-51%, w 3 70%-85% is preferred.

[0088] S73: Calculating the heating power information of the laser and the heating information of the compressor through a fan output model to obtain fan heat dissipation percentage information;

[0089] In step S73, the fan output model is:

[0090]

[0091] In the above formula (10), Q 1 Indicates the total heat output, Q 0 Indicates the heat information of the compressor, P 1 Indicates the heat power information of the laser, t indicates the preset working time, E indicates the percentage information of the fan heat dissipation, k 6 and b 6 It indicates the preset parameter value obtained by simulating the linear relationship between the collected fan heat dissipation percentage information and the total heat generation.

[0092] S74: Perform PID adjustment according to the fan heat dissipation percentage information.

[0093] In step S74, since the calculated fan heat dissipation percentage information has a higher accuracy, the influence of response lag on precise temperature control can be avoided when performing PID adjustment.

[0094] In this control method, in order to realize the judgment of the PID adjustment level, after the fan heat dissipation percentage information is PID adjusted, steps S81 to S83 are also included, specifically:

[0095] S81: Obtaining weight information, the weight information including a first weight coefficient, a second weight coefficient, a third weight information and a fourth weight coefficient, the opening information of the expansion valve group including main valve opening information and auxiliary valve opening information, wherein the first weight coefficient is matched with the compressor frequency information, the second weight coefficient is matched with the main valve opening information, the third weight coefficient is matched with the auxiliary valve opening information, and the fourth weight information is matched with the fan heat dissipation percentage information;

[0096] In step S81, the matching process is: comparing and matching the preset data table with the relevant weight coefficients to obtain corresponding weight coefficient values.

[0097] S82: normalizing the compressor frequency information, the main valve opening information, the auxiliary valve opening information, and the fan heat dissipation percentage information to obtain a normalized data set;

[0098] In this step, since the compressor frequency information, main valve opening information, auxiliary valve opening information and fan heat dissipation percentage information are all of different dimensions, it is necessary to normalize the data so that the data is compressed within the interval of [0,1] to obtain dimensionless data for convenient weight distribution calculation. Here, the compressor frequency information, main valve opening information, auxiliary valve opening information and fan heat dissipation percentage information are processed by a preset normalization function respectively to obtain normalized information of the compressor frequency, normalized information of the main valve opening, normalized information of the auxiliary valve opening and normalized information of the fan heat dissipation, and then different normalized information are constructed to obtain a normalized processing data set for overall storage.

[0099] The above normalization function is:

[0100]

[0101] In the above formula (11), X′ represents the data after normalization processing, X represents the original data before normalization processing, Max represents the maximum value of the data in the current processing information, and Min represents the minimum value of the data in the current processing information.

[0102] S83: Solving the weight information and the normalized processing data set through a preset weight model to obtain PID adjustment level information, and the PID adjustment level information is used to determine the PID adjustment level.

[0103] Here, the preset weight model is:

[0104] I=A 1 ×X′ 1 +A 2 ×X′ 2 +A 3×X′ 3 +A 4 ×X′ 4 ; (12)

[0105] In the above formula (12), I represents the PID adjustment level information, A 1 represents the first weight coefficient, X′ 1 Represents the normalized information of the compressor frequency, A 2 represents the second weight coefficient, X′ 2 Indicates the normalized information of the main valve opening, A 3 represents the third weight coefficient, X′ 3 Indicates the normalized information of the auxiliary valve opening, A 4 represents the fourth weight coefficient, X′ 4 Indicates the normalized information of the fan heat dissipation.

[0106] In this method, the calculated PID adjustment level information is compared with a preset level interval table, and the preset level interval table can be set to a high-sensitivity adjustment level, a medium-sensitivity adjustment level, and a low-sensitivity adjustment level. The high-sensitivity adjustment level is suitable for application environments where the difference between the controlled variable and the set value in PID adjustment is large, and the low-sensitivity adjustment level is suitable for application environments where the difference between the controlled variable and the set value in PID adjustment is small. The medium-sensitivity adjustment level is between the above two. At this time, this method can realize the controllability of PID adjustment, facilitate the adaptation of the best adjustment level to the running equipment, and ensure the adjustment efficiency.

[0107] Embodiment 2:

[0108] like Figure 2 As shown, this embodiment provides a refrigerant direct cooling control system, the system comprising:

[0109] A first acquisition module 1 is used to acquire ambient temperature information and laser power conversion information, wherein the ambient temperature information is collected by an ambient temperature sensor;

[0110] A first calculation module 2, used to calculate the ambient temperature information through a preset first correction model to obtain a heat influence coefficient;

[0111] A second calculation module 3 is used to calculate the ambient temperature information and the heat influence coefficient through a compressor frequency control model to obtain compressor frequency information;

[0112] A third calculation module 4 is used to calculate the laser power conversion information through a preset flow model to obtain expansion valve flow information, wherein the flow model includes a main valve flow model and an unloading model;

[0113] A fourth calculation module 5, used to calculate the expansion valve flow information through a preset opening model to obtain the opening information of the expansion valve group, wherein the opening model includes a main valve opening model and an auxiliary valve opening model;

[0114] The regulating module 6 is used to perform PID regulation on the compressor frequency information and the opening information of the expansion valve group respectively.

[0115] In an implementation method disclosed in the present invention, the third calculation module 4 includes:

[0116] A first calculation unit 41 is used to calculate the laser power conversion information through a preset second correction model to obtain a power correction coefficient;

[0117] A second calculation unit 42 is used to calculate the ambient temperature information and the power correction coefficient through a main valve flow model to obtain main valve flow information;

[0118] A third calculation unit 43 is used to calculate the laser power conversion information through a preset third correction model to obtain a bypass unloading coefficient;

[0119] A fourth calculation unit 44 is used to calculate the compressor frequency information and the bypass unloading coefficient through an unloading model to obtain unloading flow information;

[0120] The generating unit 45 is used to construct the expansion valve flow information according to the main valve flow information and the unloading flow information.

[0121] It should be noted that, regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0122] Embodiment 3:

[0123] Corresponding to the above method embodiment, this embodiment further provides a refrigerant direct cooling control device, and the refrigerant direct cooling control device described below and the refrigerant direct cooling control method described above can refer to each other.

[0124] Figure 3 FIG. 8 is a block diagram of a refrigerant direct cooling control device 800 according to an exemplary embodiment. Figure 3 As shown, the refrigerant direct cooling control device 800 may include: a processor 801 and a memory 802. The refrigerant direct cooling control device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0125] The processor 801 is used to control the overall operation of the refrigerant direct cooling control device 800 to complete all or part of the steps in the above-mentioned refrigerant direct cooling control method. The memory 802 is used to store various types of data to support the operation of the refrigerant direct cooling control device 800, and these data may include, for example, instructions for any application or method operating on the refrigerant direct cooling control device 800, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or sent via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the refrigerant direct cooling control device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 805 can include: Wi-Fi module, Bluetooth module, NFC module.

[0126] In an exemplary embodiment, the refrigerant direct cooling control device 800 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned refrigerant direct cooling control method.

[0127] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned refrigerant direct cooling control method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 802 including program instructions, and the above-mentioned program instructions can be executed by the processor 801 of the refrigerant direct cooling control device 800 to complete the above-mentioned refrigerant direct cooling control method.

[0128] Embodiment 4:

[0129] Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment. The readable storage medium described below and the refrigerant direct cooling control method described above can refer to each other.

[0130] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the refrigerant direct cooling control method of the above method embodiment.

[0131] The readable storage medium may specifically be a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or other readable storage medium that can store program codes.

[0132] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0133] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A refrigerant direct cooling control method, characterized in that: include: Acquiring ambient temperature information and laser power conversion information, wherein the ambient temperature information is collected by an ambient temperature sensor; Calculating the ambient temperature information through a preset first correction model to obtain a heat influence coefficient; Calculating the ambient temperature information and the heat impact coefficient through a compressor frequency control model to obtain compressor frequency information; The laser power conversion information is calculated by a preset flow model to obtain expansion valve flow information, wherein the flow model includes a main valve flow model and an unloading model; The expansion valve flow information is calculated by a preset opening model to obtain the opening information of the expansion valve group, wherein the opening model includes a main valve opening model and an auxiliary valve opening model; PID adjustment is performed on the compressor frequency information and the opening information of the expansion valve group respectively.

2. The refrigerant direct cooling control method according to claim 1, characterized in that: The laser power conversion information is calculated using a preset flow model to obtain expansion valve flow information, including: Calculating the laser power conversion information through a preset second correction model to obtain a power correction coefficient; Calculating the ambient temperature information and the power correction coefficient through a main valve flow model to obtain main valve flow information; Calculating the laser power conversion information through a preset third correction model to obtain a bypass unloading coefficient; The compressor frequency information and the bypass unloading coefficient are calculated by using an unloading model to obtain unloading flow information; The expansion valve flow information is constructed based on the main valve flow information and the unloading flow information.

3. The refrigerant direct cooling control method according to claim 1, characterized in that: The expansion valve flow information is calculated by a preset opening model to obtain the opening information of the expansion valve group, wherein the expansion valve flow information includes the main valve flow information and the unloading flow information, including: Calculating the main valve flow information through a preset main valve opening model to obtain main valve opening information; The unloading flow information is calculated by using a preset auxiliary valve opening model to obtain auxiliary valve opening information; The opening information of the expansion valve group is constructed based on the main valve opening information and the auxiliary valve opening information.

4. The refrigerant direct cooling control method according to claim 2, characterized in that: The main valve flow model is: L1=(k2×T+b2)×c; In the above formula, L1 represents the main valve flow information, T represents the ambient temperature information, c represents the power correction coefficient, k2 and b2 represent the preset parameter values ​​obtained when the linear relationship between the collected ambient temperature information and the main valve flow information is simulated.

5. The refrigerant direct cooling control method according to claim 2, characterized in that: The uninstall model is: In the above formula, L2 represents the unloading flow information, f represents the compressor frequency information, n represents the bypass unloading coefficient, G1 represents the pressure information collected by the high-pressure sensor arranged between the cooling system controller and the microchannel condenser, and G2 represents the pressure information collected by the low-pressure sensor arranged between the cooling system controller and the cold plate.

6. The refrigerant direct cooling control method according to claim 1, characterized in that: After PID adjustment is performed on the compressor frequency information and the opening information of the expansion valve group respectively, the method further includes: Obtain the output power information of the laser and the heat generation information of the compressor; The output power information of the laser is calculated by a preset conversion model to obtain the heating power information of the laser; The heat generation power information of the laser and the heat generation information of the compressor are calculated by a fan output model to obtain the fan heat dissipation percentage information; PID adjustment is performed according to the fan heat dissipation percentage information.

7. The refrigerant direct cooling control method according to claim 6, characterized in that: After the PID is adjusted according to the fan heat dissipation percentage information, the method further includes: Obtaining weight information, the weight information including a first weight coefficient, a second weight coefficient, a third weight information and a fourth weight coefficient, the opening information of the expansion valve group including main valve opening information and auxiliary valve opening information, wherein the first weight coefficient is matched with the compressor frequency information, the second weight coefficient is matched with the main valve opening information, the third weight coefficient is matched with the auxiliary valve opening information, and the fourth weight information is matched with the fan heat dissipation percentage information; Normalizing the compressor frequency information, the main valve opening information, the auxiliary valve opening information, and the fan heat dissipation percentage information to obtain a normalized data set; The weight information and the normalized processing data set are solved by a preset weight model to obtain PID adjustment level information, and the PID adjustment level information is used to determine the PID adjustment level.

8. A refrigerant direct cooling control system, characterized in that: include: A first acquisition module is used to acquire ambient temperature information and laser power conversion information, wherein the ambient temperature information is collected by an ambient temperature sensor; A first calculation module, used to calculate the ambient temperature information through a preset first correction model to obtain a heat influence coefficient; A second calculation module is used to calculate the ambient temperature information and the heat influence coefficient through a compressor frequency control model to obtain compressor frequency information; A third calculation module, used to calculate the laser power conversion information through a preset flow model to obtain expansion valve flow information, wherein the flow model includes a main valve flow model and an unloading model; a fourth calculation module, configured to calculate the expansion valve flow information through a preset opening model to obtain the opening information of the expansion valve group, wherein the opening model includes a main valve opening model and an auxiliary valve opening model; The regulating module is used to perform PID regulation on the compressor frequency information and the opening information of the expansion valve group respectively.

9. A refrigerant direct cooling control device, characterized in that: include: Memory for storing computer programs; A processor, used to implement the steps of the refrigerant direct cooling control method as claimed in any one of claims 1 to 7 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the refrigerant direct cooling control method according to any one of claims 1 to 7 are implemented.

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